top of page

Search Results

333 results found with an empty search

  • Analyst Developer Insights | SlashData Software Developer Insights & Research

    Developer Ecosystem insights are a collection of reports focused on analysing the technology industry and showcasing trends in Web apps, Mobile apps, Desktop apps, Cloud / backend services, AR/VR, Games, IoT, ML/AI & Data Science, Embedded software, Apps/extensions for 3rd-party platforms, DevOps and more! Explore our latest research Mobile Desktop Web Cloud/Backend AR/VR Games IoT ML/AI & Data Science Embedded Software 3rd-party Platforms DevOps Mobile 22 May 2025 How and where to reach developers? MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 June 2024 Landscape of mobile games development MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 January 2024 Mobile developers population forecast MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Measuring developer productivity MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 April 2023 How and where to reach mobile developers MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 6 November 2025 Building on the blockchain in 2025 MORE 22 May 2025 How and where to reach developers? MORE 4 February 2025 Understanding Progressive Web App Developers in 2025 MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Measuring developer productivity MORE 1 November 2023 Landscape of Web3 development MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 March 2023 A spotlight on blockchain developers MORE 1 March 2023 Observability in software development MORE 1 February 2023 The landscape of web development and framework usage MORE 1 February 2023 Applications and shift-left security MORE Web 31 October 2025 Data Residency Compliance Challenges and Organisational Responsibility MORE 22 May 2025 How and where to reach developers? MORE 8 May 2025 Multicloud adoption experience MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 June 2024 Hardware architecture - Optimised coding among backend developers MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 May 2024 Journey to cloud-native maturity MORE 1 February 2024 Segmenting the backend developer population MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Measuring developer productivity MORE 1 November 2023 Landscape of Web3 development MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 August 2023 Backend developer population forecast 2024 MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Challenges in multi-cloud deployment MORE 1 June 2023 How and where to reach cloud developers MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 1 December 2022 Emerging practices in MLops / DataOps MORE 1 November 2022 Landscape of cloud-native development MORE Cloud/Backend 30 October 2025 The State of AR/VR Development 2025 MORE 22 May 2025 How and where to reach developers? MORE 1 November 2024 Which technologies are used in AR and VR projects? MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 January 2024 How AR/VR practitioners monetise their projects MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 August 2023 AR/VR developers & creators population forecast MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE AR/VR 18 November 2025 The State of Game Development 2025 MORE 22 May 2025 How and where to reach developers? MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 June 2024 Game developer population forecast MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Landscape of game developers MORE 1 March 2023 A spotlight on blockchain developers MORE 1 March 2023 Observability in software development MORE 1 February 2023 Applications and shift-left security MORE Games 29 October 2025 IIoT accessibility MORE 22 May 2025 How and where to reach developers? MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 July 2024 Living on the edge MORE 1 June 2024 IoT developer population forecast MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 How and where to reach IoT developers MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Networking in IoT applications MORE 1 December 2023 Measuring developer productivity MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 March 2023 A spotlight on blockchain developers MORE 1 March 2023 Wearable Device Developers and their Platform Choices MORE 1 March 2023 Observability in software development MORE 1 February 2023 Applications and shift-left security MORE IoT 20 April 2026 AI Developer Tools Benchmark MORE 20 November 2025 Agentic AI architectures: Adoption, use cases, protocols, and frameworks MORE 13 November 2025 Understanding the reluctance towards building generative AI applications MORE 22 May 2025 How and where to reach developers? MORE 29 April 2025 Benchmarking of fully-managed generative AI services/APIs MORE 30 January 2025 The state of machine learning and data science MORE 1 November 2024 Trust, risk, and security management in AI MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 May 2024 ML developer population forecast MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 February 2024 How and where to reach data scientists and ML/AI developers MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 May 2023 Types of data ML/AI devs work with MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 1 December 2022 Emerging practices in MLops / DataOps MORE ML/AI & Data Science 29 December 2025 Integration of AI into edge devices MORE 22 May 2025 How and where to reach developers? MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 May 2023 Embedded developers population forecast MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE Embedded Software 22 May 2025 How and where to reach developers? MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Measuring developer productivity MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 3rd-party Platforms 30 December 2025 Impact of Platform Strategies on Security Practices in Software Development MORE 24 June 2025 Motivations behind various DevOps practices MORE 22 May 2025 How and where to reach developers? MORE 1 November 2024 Dependency Management in Software Development MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 June 2024 Software supply chain management in organisations MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 1 December 2022 Emerging practices in MLops / DataOps MORE DevOps Desktop 22 May 2025 How and where to reach developers? MORE 12 February 2025 The current landscape of Arm-based Windows application development MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 June 2023 Desktop developers population forecast MORE 1 March 2023 A spotlight on blockchain developers MORE 1 March 2023 Observability in software development MORE 1 February 2023 Applications and shift-left security MORE 1 December 2022 Emerging practices in MLops / DataOps MORE Dive into the trends Developer Ecosystem Insights is a collection of reports, focused on analysing and sharing insights and trends across these development areas: Web apps, Mobile apps, Desktop apps, Cloud / backend services, AR/VR, Games, IoT, ML/AI & Data Science, Embedded software, Apps/extensions for 3rd-party platforms, DevOps and more! The insights Developer Ecosystem Insights offer key insights on: Who and where developers are How to reach developers What motivates developers Developer communities How they are expected to evolve. What it answers SlashData’s Developer Ecosystem Insights offer key insights on: Developer Language usage and communities Where developers go for information What types of content do developers prefer The landscape of a technology area (ie Blockchain) Challenges/friction points in a specific technology area (ie Challenges in multi-cloud or Challenges in using 3rd party APIs) Population sizing Do you want to effectively talk to developers in a specific sector or understand their needs? LET'S TALK

  • Measuring developer productivity | Games DEI Tech Market Research

    For as long as companies have been around and economists have studied labour markets, worker productivity has been a central focus of conversation and study. In this report, we delve into this concept, examining developer productivity and the factors associated with it using multiple metrics. As this report is focused on developer productivity at work, we focus our analysis exclusively on professional developers. Throughout this report, we examine metrics and factors that are associated with each productivity measurement. Through this analysis, we aim to highlight the pros and cons of framing productivity in various manners. Measuring developer productivity An overview of its drivers and barriers Access the Full Preview All Insights About this Report For as long as companies have been around and economists have studied labour markets, worker productivity has been a central focus of conversation and study. In this report, we delve into this concept, examining developer productivity and the factors associated with it using multiple metrics. As this report is focused on developer productivity at work, we focus our analysis exclusively on professional developers. Throughout this report, we examine metrics and factors that are associated with each productivity measurement. Through this analysis, we aim to highlight the pros and cons of framing productivity in various manners. Methodology This report is based on data collected from 17,000+ developers answering questions in the 25th edition of our Developer Nation survey, which was fielded between June and August 2023. ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Key Questions Answered What are the preferred content types for developers? What types of content do developers consume for learning? What types of content do developers consume to keep up-to-date? What types of content do developers consume for problem-solving? How does content consumption differ per experience in software development and geographical location? Click to expand Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • IIoT accessibility| IoT DEI Tech Market Research

    This report explores how developers begin their IIoT journey: which development boards they start with, how they experience onboarding across tasks and ecosystems, and how these patterns differ by experience level, role, and region. The findings highlight where the industry is lowering technical barriers and where better documentation, community support, or learning pathways are still needed. Insights come from the 30th edition of the Developer Nation survey, which ran from June to August 2025 and reached 830 developers worldwide involved in IIoT projects. All Insights IIoT accessibility Technology ease of use and developer-friendliness Access the Full Preview About this Report This report explores how developers begin their IIoT journey: which development boards they start with, how they experience onboarding across tasks and ecosystems, and how these patterns differ by experience level, role, and region. The findings highlight where the industry is lowering technical barriers and where better documentation, community support, or learning pathways are still needed. Insights come from the 30th edition of the Developer Nation survey, which ran from June to August 2025 and reached 830 developers worldwide involved in IIoT projects. Key Questions Answered Arduino is one of the most common starting points in IIoT, significantly ahead of other development boards, except for legacy microcontroller kits. One in eight developers cannot recall their first IIoT board, suggesting that IIoT entry is often informal and opportunistic. Newer entrants to IIoT and today’s students largely report starting with Arduino as their first development board. Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from the 30th edition of the Developer Nation survey edition of the Developer Nation survey, a large-scale, online developer survey that was designed, hosted, and fielded by SlashData over a period of ten weeks between June 2025 and July 2025. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • Landscape of network APIs | Cloud/Backend DEI Tech Market Research

    The report is based on data collected in the 27th edition of our Developer Nation survey, which was fielded between June and July 2024. This survey reached more than 9,000 respondents from 130+ countries around the world. Landscape of network APIs Exploring developer adoption, challenges, and preferred pricing models for network APIs Access the Full Preview All Insights About this Report The report is based on data collected in the 27th edition of our Developer Nation survey, which was fielded between June and July 2024. This survey reached more than 9,000 respondents from 130+ countries around the world. Key Questions Answered Where are developers using network APIs located? What type of projects are network API users building? What types of network APIs are developers using? How do professional involvement and company size influence the implementation of network APIs? What challenges do developers face when using network APIs? How do developers prefer to pay for network APIs? How do pricing preferences differ between regions and companies of different sizes? Click to expand ACCESS THE FULL PREVIEW Methodology In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • Who's integrating sustainable software engineering principles?| ML/AI & Data Science DEI Tech Market Research

    Sustainable software engineering (SSE) is the practice of minimisingthe environmental cost of software. It is an emerging discipline at the intersection of climate science, software practices and architecture, electricity markets, hardware, and data centre design. In this report, we’ll look at which developers are involved in building sustainable software and which SSE principles are most commonly utilised. We’ll investigate how developers’ experience levels, location, and the size of the organisation they work for –amongst other factors –affect the rate at which they utilise SSE and which principles they most often adopt. Later, we’ll take a closer look at what motivates developers to utilise SSE principles, as well as which challenges they face in doing so. We’ll demonstrate how developers’ motivations and challenges change based on several different factors, such as their experience levels. All Insights Who's integrating sustainable software engineering principles? Developers’ approaches, motivations, and challenges around building green software Access the Full Preview About this Report Sustainable software engineering (SSE) is the practice of minimisingthe environmental cost of software. It is an emerging discipline at the intersection of climate science, software practices and architecture, electricity markets, hardware, and data centre design. In this report, we’ll look at which developers are involved in building sustainable software and which SSE principles are most commonly utilised. We’ll investigate how developers’ experience levels, location, and the size of the organisation they work for –amongst other factors –affect the rate at which they utilise SSE and which principles they most often adopt. Later, we’ll take a closer look at what motivates developers to utilise SSE principles, as well as which challenges they face in doing so. We’ll demonstrate how developers’ motivations and challenges change based on several different factors, such as their experience levels. Key Questions Answered What percentage of developers have added generative AI features to their applications, and how many are interested? Do developers need to be AI or machine learning experts to create generative AI experiences? How does company size influence the choice of incorporation methods of generative AI functionality? What are the biggest challenges developers face when integrating generative AI functionality into their applications? Which cloud services do developers use the most for integrating generative AI into their applications? Click to expand ACCESS THE FULL PREVIEW Methodology Data for this report comes from the 24th edition of our Developer Nation survey, which was fielded in Q1 2023, between December 2022 and February 2023. Around 17,000 developers told us about their experiences with integrating SSE principles into their development projects. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • How developers integrate generative AI into their apps | Games DEI Tech Market Research

    While the idea of generative artificial intelligence (AI) is not new, a lot of progress has been made over the past few years that has made it highly desirable for both end users and software developers. The aim of this report is to provide an overview of the current state of integration of generative AI functionality by developers into their applications. We will begin by investigating the extent to which developers have started incorporating generative AI functionality into their applications, and how this differs across regions and companies of different sizes. Following this, we will explore the different methods developers use to integrate generative AI functionality into their applications, as well as the use cases they target and the challenges they are faced with. Finally, we will look at which fully-managed generative AI services are currently used the most by developers in this space. How developers integrate generative AI into their apps Approaches, use cases, challenges, and cloud services used Access the Full Preview All Insights About this Report While the idea of generative artificial intelligence (AI) is not new, a lot of progress has been made over the past few years that has made it highly desirable for both end users and software developers. The aim of this report is to provide an overview of the current state of integration of generative AI functionality by developers into their applications. We will begin by investigating the extent to which developers have started incorporating generative AI functionality into their applications, and how this differs across regions and companies of different sizes. Following this, we will explore the different methods developers use to integrate generative AI functionality into their applications, as well as the use cases they target and the challenges they are faced with. Finally, we will look at which fully-managed generative AI services are currently used the most by developers in this space. Methodology This report is based on data collected from over 16,500 developers who answered questions about incorporating generative AI functionality into their applications in the 25th edition of our Developer Nation survey, which was fielded in Q3 2023. ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Key Questions Answered What affects developer productivity? How do you measure developer productivity? Click to expand Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • Cloud-based development environments Market Landscape Report Q3 2024 | Competitive Technology Landscape Tech Market Research

    Track adoption, market share and satisfaction All Reports Cloud-based development environments Market Landscape Report Q3 2024 Track adoption, market share and satisfaction Access the Full Report About this Report As the tech landscape evolves, cloud-based development environments are becoming a game-changer for developers. This report examines how developers are embracing cloud-based environments. We’ll explore which platforms are most popular, how they fit into everyday workflows, and the role that choices like cloud service providers and DevOps tools play in this process. Key Questions Answered What are the most widely adopted cloud-based development environments? Do synergies exist between cloud-based development environments? What are the top reasons for developers to adopt and reject a cloud-based development environment? What vendors are ranking better for each of these adoption and rejection reasons? How satisfied are developers with each cloud-based development environment? Click to expand ACCESS THE FULL REPORT Methodology The report's data comes from the 27th edition of our Developer Nation survey, which ran between June and July 2024. The findings come from a survey of over 7,000 developers worldwide. Of these global respondents, over 1,700 developers answered survey questions regarding cloud-based development environments. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • Which content types do developers value? | 3rd-party Platforms DEI Tech Market Research

    In the dynamic realm of software development, with programming languages, frameworks, and tools evolving so quickly, understanding developers’ content consumption is more important than ever. This report explores the specific content preferences of software developers, focusing on areas such as learning, keeping up-to-date, problem-solving, research, and community engagement. Our aim is to provide you with the necessary tools and insights that you can use in the process of designing effective content, in order tofoster stronger, more productive relationships with this essential demographic, one content piece at a time. All Insights Which content types do developers value? Preferences for learning, keeping up to date, problem-solving, and engaging with community Access the Full Preview About this Report In the dynamic realm of software development, with programming languages, frameworks, and tools evolving so quickly, understanding developers’ content consumption is more important than ever. This report explores the specific content preferences of software developers, focusing on areas such as learning, keeping up-to-date, problem-solving, research, and community engagement. Our aim is to provide you with the necessary tools and insights that you can use in the process of designing effective content, in order tofoster stronger, more productive relationships with this essential demographic, one content piece at a time. Key Questions Answered What are the preferred content types for developers? What types of content do developers consume for learning? What types of content do developers consume to keep up-to-date? What types of content do developers consume for problem-solving? How does content consumption differ per experience in software development and geographical location? Click to expand ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Methodology This report is based on data collected from 17,000+ developers answering questions in the 25th edition of our Developer Nation survey, which was fielded between June and August 2023.

  • Application Security Testing Market Landscape Report Q1 2023 | Competitive Technology Landscape Tech Market Research

    Track adoption, market share and satisfaction All Reports Application Security Testing Market Landscape Report Q1 2023 Track adoption, market share and satisfaction Access the Full Report About this Report In our Application Security Testing (AST) Competitive Technology Landscape, we discuss developers’ usage and awareness of different AST tools, their reasons for adopting and rejecting different AST tools, and how satisfied they are with their experience. We benchmark the main competing Application Security Testing products, we look at which vendor products and technologies developers are currently using and we measure developer satisfaction across 18 different attributes. Our analysis provides deep insights on the criteria developers use to select products and how likely they are to recommend them. Key Questions Answered Which technologies have DevOps developers used as part of their development in the past 12 months? Which AST products are DevOps developers aware of, which are they currently using and which have they abandoned? Which attributes do developers consider most important when they select an AST product? Why do developers adopt and why do they reject each AST product? How satisfied are developers with each AST product? How do they score the offerings they use across the attributes they consider most important? How likely are developers to recommend the AST products they are currently using? Click to expand ACCESS THE FULL REPORT Methodology The data for this report comes from the 24th edition of our Developer Nation survey, which ran between December 2022 and February 2023 and reached nearly 26,000 developers from 166 countries. Of these respondents, over 5,500 developers answered survey questions regarding their usage and opinions of AST tools. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • Landscape of game developers | Games DEI Tech Market Research

    Game development has garnered widespread interest, with one in every four developers globally involved in game development. In this report, we take a look at the landscape of game developers. We begin by assessing the demographics of game developers by looking at where they are located and their experience. Next, we take a deeper look at the professional life of game developers, analysing how they are professionally involved in the sector and the type of studios they work for. In chapter three, our attention turns to the choices and decisions made by game developers for their projects. Here, we delve into the range of technologies, game engines, and programming languages they use. Finally, in chapter four, we examine the platforms they target and the spectrum of games they create. Landscape of game developers A broad view of the demographics, firmographics, and technology choices of game developers Access the Full Preview All Insights About this Report Game development has garnered widespread interest, with one in every four developers globally involved in game development. In this report, we take a look at the landscape of game developers. We begin by assessing the demographics of game developers by looking at where they are located and their experience. Next, we take a deeper look at the professional life of game developers, analysing how they are professionally involved in the sector and the type of studios they work for. In chapter three, our attention turns to the choices and decisions made by game developers for their projects. Here, we delve into the range of technologies, game engines, and programming languages they use. Finally, in chapter four, we examine the platforms they target and the spectrum of games they create. Methodology The report is based on data collected from nearly 5,000 self-identified game developers in the 24th edition of our Developer Nation survey, which ran between December 2022 and February 2023. ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Key Questions Answered Who are game developers and where are they located? - How many years of experience do game developers have? How are game developers involved in the field? Which types of organisations do game developers work for? Which are the most popular game engines? Which technologies do game developers use? Which platforms are game developers targeting? Why types of projects are game developers working on? Click to expand Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • Landscape of cloud-native development | Cloud/Backend DEI Tech Market Research

    Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Landscape of cloud-native development An overview of the demographics and technological choices of cloud-native developers Access the Full Preview All Insights About this Report Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Key Questions Answered Who and where are cloud-native developers? What choices are cloud-native developers making for their cloud service providers? Which cloud-native specific technologies are being used, and what is their popularity? Click to expand ACCESS THE FULL PREVIEW Methodology This report looks into the demographics and firmographics of cloud-native developers, as well as looking into their choice of programming languages and cloud service providers. These are all contrasted against backend developers who are not cloud-native developers. Finally, we investigate the specific technologies at the centre of cloud-native development and their popularity among cloud-native developers. This includes container orchestration technologies, cloud functions, and serverless computing. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • Who's integrating sustainable software engineering principles? | Cloud/Backend DEI Tech Market Research

    Data for this report comes from the 24th edition of our Developer Nation survey, which was fielded in Q1 2023, between December 2022 and February 2023. Around 17,000 developers told us about their experiences with integrating SSE principles into their development projects. Who's integrating sustainable software engineering principles? Developers’ approaches, motivations, and challenges around building green software Access the Full Preview All Insights About this Report Data for this report comes from the 24th edition of our Developer Nation survey, which was fielded in Q1 2023, between December 2022 and February 2023. Around 17,000 developers told us about their experiences with integrating SSE principles into their development projects. Key Questions Answered Who uses sustainable software engineering (SSE) approaches? Where are the global hotspots for SSE? Which types of SSE approaches are used? Which SSE principles are utilised by developers of different experience levels and in different regions? What motivates developers to use different SSE approaches and principles? How do developers’ motivations influence the types of SSE approaches they utilise? Which challenges do developers face when implementing SSE approaches? How do they challenges developers face change with their experience levels? Click to expand ACCESS THE FULL PREVIEW Methodology Sustainable software engineering (SSE) is the practice of minimisingthe environmental cost of software. It is an emerging discipline at the intersection of climate science, software practices and architecture, electricity markets, hardware, and data centre design. In this report, we’ll look at which developers are involved in building sustainable software and which SSE principles are most commonly utilised. We’ll investigate how developers’ experience levels, location, and the size of the organisation they work for –amongst other factors –affect the rate at which they utilise SSE and which principles they most often adopt. Later, we’ll take a closer look at what motivates developers to utilise SSE principles, as well as which challenges they face in doing so. We’ll demonstrate how developers’ motivations and challenges change based on several different factors, such as their experience levels. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

  • Enhancing web developer experience by addressing key challenges | Case studies | Tech Market Research

    See how SlashData helped a global tech giant address developer challenges, optimise web offerings, and boost engagement with data-driven insights. All Case Studies Enhancing web developer experience by addressing key challenges The challenge A global technology giant was looking to enhance the experience of developers engaging with their web-based offerings. Their primary objective was to uncover and resolve the critical challenges that developers encounter when building and optimising for the web. Understanding these challenges was essential for improving their offerings, driving engagement, and maintaining a competitive edge. The approach SlashData developed a tailored survey that reached over 1,100 professional web developers and team leaders managing web development projects. The survey was designed to uncover detailed insights, asking participants to rank their most significant challenges and provide in-depth responses about their selected issues. This approach ensured comprehensive coverage of the developer experience. The result The study uncovered valuable insights into the most pressing challenges that web developers face, allowing the client to make informed, data-driven decisions to optimise their web offerings. By addressing critical pain points and actionable opportunities, the client was able to strategically prioritise improvements that would strengthen their market position and boost developer engagement and satisfaction. The data-driven strategy empowered the client to align their resources with the most impactful opportunities. Why SlashData SlashData’s proprietary survey tool, advanced data cleansing methodologies, and access to a vast global developer community enabled us to collect accurate, reliable responses from a representative sample tailored to the client’s needs. Leveraging our expertise in questionnaire design and data analysis, we transformed raw data into actionable insights, empowering our client to make well-informed, strategic decisions. Ready to optimise your developer experience? Contact us today! Related services Quantitative Developer research Previous Case Next Case Get all the new insights in your inbox JOIN NEWSLETTER Talk to our analysts TALK TO US Frequently asked questions (F.A.Q.) What happens after I get in touch? You’ll speak to Natasa or Petro. Both understand developers and their impact on product, marketing, DevRel, and architecture pressures. The first conversation focuses on: The decision you’re trying to make The risk you’re managing The timeline you’re under We’ll clarify whether we can help and how. Is this a pitch? No. If there’s a fit, we’ll propose a clear path forward. If there isn’t, we’ll say so. Our reputation depends on long-term credibility and partnership, not short-term contracts. Who should contact you? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where we help most. Do I need a detailed brief? No. Most teams come to us with: A specific problem at hand A broad question A need for proof to validate a decision Roadmap uncertainty We will ask questions to better understand your needs and explain how we can help. Is this suitable only for enterprise teams? We work with global developer-first technology companies, but the key factor is decision impact, not size. If you need validation and clarity for: Strategic direction Budget allocation New market exploration AI adoption Developer audience growth We have multiple ways we can help, and it’s worth a conversation. What budget range should we expect? Your budget investment depends on several factors, including: Scope and geography Depth of segmentation Custom research vs existing data Advisory layer required We are transparent about cost early. There are no surprises. Can you work alongside our internal research or analytics teams? Yes, and it’s common for us to do. We provide Provide external market validation Pressure-test internal assumptions Fill blind spots in competitor or non-user insight The goal is alignment and clarity, so we work on projects together. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. What if we’re still early in exploring AI strategy or developer growth? Then you better get started on the right foot. We can get you early clarity on: Segment size Adoption barriers Buying criteria Competition mapping & benchmarks All these can prevent later expensive missteps.

  • How developers use AI-assisted development tools | 3rd-party Platforms DEI Tech Market Research

    This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. All Insights How developers use AI-assisted development tools Exploring adoption, effectiveness and challenges for AI-assisted tools. Access the Full Preview About this Report This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. Key Questions Answered How does the likelihood of using AI tools vary across developers with differing experience levels? What are the common use cases for AI-assisted development tools? How effective do developers perceive AI to be in accomplishing various tasks? What are the key drivers and barriers that motivate and impede developers when incorporating AI tools into their workflow? Click to expand ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond.

bottom of page