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  • State of Continuous Integration and Continuous Delivery Report 2024 | Free Industry Reports & In this report, commissioned by the Continuous Delivery Foundation (CDF) and authored by SlashData, we explore the current state of the CI/CD developer ecosystem and how this has evolved over the past three and half years. We will look at what proportion of developers are involved in the broader DevOps space and how many work with CI/CD technologies in particular. Moreover, we will see how developers software delivery performance has changed over time. Finally, we will explore how developers’ usage of multiple CI/CD tools contributes to software delivery performance, as well as the impact of utilizing numerous different types of DevOps technologies. Tech Market Research

    Key Questions Answered What is the current adoption of DevOps practices? What is the current adoption of DevOps technologies? Which industries are most involved in DevOps? How has the industry’s performance on DORA metrics changed over the last three and a half years? What is the impact of using multiple DevOps technologies on DORA performance? What is the impact of CI/CD tools on DORA performance? What is the impact of using multiple CI/CD tools simultaneously? Click to expand ACCESS THE FULL REPORT Methodology The findings in this report are based on data from SlashData’sprevious eight Developer Nation surveys which reached more than 150,000 respondents worldwide over three and half years, from Q3 2020 to Q1 2024. 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 All Reports 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. State of Continuous Integration and Continuous Delivery Report 2024 The Evolution of Software Delivery Performance Access the Full Report About this Report In this report, commissioned by the Continuous Delivery Foundation (CDF) and authored by SlashData, we explore the current state of the CI/CD developer ecosystem and how this has evolved over the past three and half years. We will look at what proportion of developers are involved in the broader DevOps space and how many work with CI/CD technologies in particular. Moreover, we will see how developers software delivery performance has changed over time. Finally, we will explore how developers’ usage of multiple CI/CD tools contributes to software delivery performance, as well as the impact of utilizing numerous different types of DevOps technologies.

  • Which content types do developers value? | Cloud/Backend DEI Tech Market Research

    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. Which content types do developers value? Preferences for learning, keeping up to date, problem-solving, and engaging with community Access the Full Preview All Insights About this Report 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. 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 Methodology 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. 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

  • Understanding how developers engage with authentication services | Case studies | Tech Market Research

    In this case study, we look at how SlashData worked with a client product team to answer their questions on developer authentication needs. All Case Studies Understanding how developers engage with authentication services The challenge The Product Strategy and Pricing team of a leading identity management provider was looking to improve their product strategy in a way that included a price structure to attract wider audiences, increase competitiveness, and grow conversions from free to paid tiers. The approach SlashData worked closely with the Client to understand their research objectives, and designed a 25-question survey that best answered the Client’s business questions. Then, SlashData gathered responses from 300+ developers with experience in utilising authentication APIs in their applications. The respondents were sourced through SlashData’s own developer community, as well as through vetted third-party survey panels. The sample collected covered the geographies and specific developer profiles requested by the Client. The result The data collected from SlashData’s survey answered the Client's key questions: What use cases are developers targeting with competitive authentication services? What features led them to choose their primary solution? What would make them move to another offering? How important are free plans to authentication service users? What would make them switch from a free to a paid authentication API tier? As a result, the Client was able to identify key features vs competitors and gained a better understanding of how developers interact with authentication services. Why SlashData? SlashData, acting as a full-service market research partner, helped the Client go from a high-level research brief to actual data that provided answers to critical business questions in just 30 days. Tapping into its own developer community and selected third-party sample providers, SlashData distributed an online survey that reached respondents who precisely matched the Client’s target audience. The survey was hosted on SlashData’s proprietary survey platform, which enables in-depth data cleansing through the advanced metadata it collects. Are you focused on increasing conversions from free to paid? Our data can help. Contact us . You can find all our data & free industry reports in our Research Space . Related services Audience Insights Product development & improvement 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.

  • Understanding the maturity of organisations' software supply chain security practices with Red Hat | Case studies | Tech Market Research

    A case study on how SlashData worked closely with Red Hat to understand and assess software supply chain maturity. All Case Studies Understanding the maturity of organisations' software supply chain security practices with Red Hat The challenge Red Hat was seeking to understand the current state of software supply chain security maturity. In addition, they wanted to develop a rigorous series of metrics that could be used to benchmark developer and organisation-level performance on an ongoing basis to assess developments in the market. The approach SlashData worked closely with Red Hat to understand the research objectives and designed a 30-question survey that covered all the topics relevant to assessing software supply chain maturity, such that they could be converted into a metric during analysis. Then, SlashData gathered responses from 800+ professional developers working throughout the software supply chain. Following survey outreach, SlashData developed a methodology that allowed the information from all the survey questions to be represented into a single metric used to benchmark developer and organisational maturity. From this, we could identify the areas where organisations were struggling most, as well as identify important KPIs that demonstrated the importance of a mature approach to software supply chain security. The result SlashData produced a thorough and detailed report summarising our findings into the four areas of the software supply chain. Security performance metrics were developed for each, which were then combined into a single metric that could be used to produce an overall assessment of organisation security maturity. Further to understanding the current state of security practices, it also allowed us to understand why organisation leaders should care about this beyond just regulation and data exposure reasons. How mature security practices in dependency management reduce the time to respond to vulnerabilities in third-party code. How mature security practices in code creation reduce the time to respond to vulnerabilities in first-party code. How mature security practices in build and delivery process reduce the time to respond to vulnerabilities in build processes. How mature automation practices reduce the time to respond to vulnerabilities in builds. How mature security remediation practices reduce the time to respond to vulnerabilities in production environments. How developers with low software supply chain security maturity are often unaware of their poor performance and the risks this creates. How more mature practices across all areas are associated with the detection and addressing of more vulnerabilities. How business leaders can improve their organisation's software supply chain security. Why SlashData SlashData, acting as a full-service market research partner, helped Red Hat go from its research intention to an actionable and reliable understanding of the current state of software supply chain security. SlashData was able to leverage its deep bench of analyst expertise to develop a custom solution to Red Hat’s needs. SlashData’s expertise in crafting insights allowed Red Hat to ensure that the deliverables were targeted at the specific audience they were trying to reach. SlashData was able to tap into its own developer community, as well as selected third-party sample providers, to distribute an online survey that reached respondents who precisely matched the client’s target audience. The survey was hosted on SlashData’s proprietary survey platform, which enables in-depth data cleansing through the advanced metadata it collects. The findings were made publicly available in the form of a thought-leadership report , while we also delivered them as an e-book for Red Hat. Are you interested in creating a thought-leading industry report together? Get in touch . You can find all our data & free industry reports in our Research Space . 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.

  • What drives or prevents Web2 developers to jump to blockchain? Profiling developers who already made the leap | Case studies | Tech Market Research

    How SlashData helped a leading Web3 company uncover barriers, motivators, and trends in blockchain adoption among Web2 developers. All Case Studies What drives or prevents Web2 developers to jump to blockchain? Profiling developers who already made the leap The challenge A leading Web3 company approached us to uncover the key obstacles that prevent Web2 developers from transitioning to blockchain development. This project was a jumping-off point aimed at informing outreach and marketing efforts to attract more developers to blockchain and their platform in particular. To ensure that their platform was an attractive space for both incoming developers and current developers, we also investigated the specific needs, preferences, and challenges faced by developers currently building on the platform. The approach We crafted a comprehensive research plan to address two core objectives: Understanding barriers for Web2 developers : Conducted surveys targeting Web2 developers without blockchain experience to measure interest in blockchain development. Analysed how interest varies by role, experience level, and geography. Profiling Current Web3 Developers : Collected feedback from developers already building on blockchain to gauge satisfaction, technology awareness, and platform preferences. Developed a predictive model to explore the relationship between developer demographics, project types, and platform usage trends. Our strategy ensured a regionally representative sample of developers across Web2 and Web3, enabling a holistic view of the developer landscape. The result Our client was able to construct an outreach and strategy plan and present it to their leadership with the full confidence that comes from in-depth research. Included in our report was the answer to specific hypotheses that the clients had about their industry and a model the client could use to craft data-backed marketing and recruitment strategies. Why SlashData SlashData specialises in uncovering hard-to-reach developer communities. Our regionally targeted outreach strategy successfully connected with the Web3 developer audience, while our rigorous statistical analysis ensured accurate and reliable insights. To maximise the value of our findings, we presented the data in a concise, non-technical format, empowering the client to create effective marketing campaigns and developer-friendly platform improvements. Curious about how to attract Web2 developers to blockchain? Reach out now! You can find all our data & free reports in our Research Space . 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.

  • AI in the Developer Workflow | Free Industry Reports & Generative AI has entered the developer toolkit, but how deeply has it actually embedded itself into the work? This report examines how developers are using AI across their workflows: which tasks they are turning to AI for, how much of each task they are willing to hand over, and where the gap between adoption and reliance reveals the limits of current tooling. Drawing on survey data from developers actively using AI-assisted software development tools, the findings move beyond headline adoption figures to examine the texture of AI use across more than a dozen distinct development tasks. The result is a more honest picture of where AI is genuinely accelerating developer work, where it has found a willing audience for tasks developers are happy to offload, and where capability gaps are suppressing the trust needed for deeper reliance. For organisations evaluating or expanding AI tool adoption, the data offers a practical lens for calibrating expectations, informing governance, and identifying where human oversight remains essential. For those building the next generation of AI developer tools, it maps the frontier clearly: the tasks with high demand and low trust are not side thoughts; they should be the roadmap. Tech Market Research

    Key Questions Answered What tasks are developers using AI tools to assist them with? How much of each task are developers handing over to AI tools? Which tasks do developers trust and rely on AI tooling for? Which tasks are the current suite of AI tooling falling short? Click to expand ACCESS THE FULL REPORT Methodology The 31st edition of the Developer Nation survey reached more than 11,500 respondents from 95 countries around the world. This research report series delves into key developer trends for Q1 2026 and beyond. 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 All Reports 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. AI in the Developer Workflow High adoption, uneven trust, and the tasks current tools haven't solved Access the Full Report About this Report Generative AI has entered the developer toolkit, but how deeply has it actually embedded itself into the work? This report examines how developers are using AI across their workflows: which tasks they are turning to AI for, how much of each task they are willing to hand over, and where the gap between adoption and reliance reveals the limits of current tooling. Drawing on survey data from developers actively using AI-assisted software development tools, the findings move beyond headline adoption figures to examine the texture of AI use across more than a dozen distinct development tasks. The result is a more honest picture of where AI is genuinely accelerating developer work, where it has found a willing audience for tasks developers are happy to offload, and where capability gaps are suppressing the trust needed for deeper reliance. For organisations evaluating or expanding AI tool adoption, the data offers a practical lens for calibrating expectations, informing governance, and identifying where human oversight remains essential. For those building the next generation of AI developer tools, it maps the frontier clearly: the tasks with high demand and low trust are not side thoughts; they should be the roadmap.

  • How developers use AI-assisted development tools| AR/VR DEI Tech Market Research

    Exploring adoption, effectiveness and challenges for AI-assisted tools. How developers use AI-assisted development tools 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. Access the Full Preview About this Report Exploring adoption, effectiveness and challenges for AI-assisted tools. Key Questions Answered What types of functionalities do you add to your applications using open or open-source ML/AI models? What are your main reasons for using open or open-source ML/AI models to add AI functionality to your applications? Do you face any challenges when using open or open-source ML/AI models in your applications? What are your main reasons for not integrating open or open-source ML/AI models in your applications? Click to expand ACCESS THE FULL PREVIEW 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. 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 All Insights

  • Using SlashData custom questions to understand AI software developers | Case studies | Tech Market Research

    How one of our clients, worked with us to understand the needs and preferences of software developers working with AI. All Case Studies Using SlashData custom questions to understand AI software developers Our mission is to help our clients understand what the market looks like, what developers need, what excites developers, what doesn’t, and what they expect from our clients’ (and their competitors’) products and the developer programs that go along with them. So, when we are approached with a request for some custom work, we roll up our sleeves and dive deep into the data. In this case study, we will be looking at how one of our clients, worked with us to understand the needs and preferences of software developers working with AI. The client is a company among the top 50 in the 2022 Fortune 500 ranking, which for the purposes of this case study we will be calling “Client”. This is the third installment in our “how we work with clients” series, and you can read part 2 and part 1 with Okta for more details. In this article, we will look into their request and more specifically: The questions our Client wanted to answer How we worked together on their problem How they used the insights we offered them The request Understanding the needs of AI software developers The Client wanted to better understand the needs of AI software developers, so we worked with them closely to understand the problem they were trying to solve. Then, together we made sure that we added custom questions to our Developer Nation survey, to get the answers from developers. Question: What was the goal/challenge you were looking to accomplish? Client: We wanted to get feedback from our customers, who are software developers that work on AI, so we could get a better understanding of their needs: What they’re actually doing The specific points that we are trying to optimize. We wanted to answer high-level questions such as what language they are using and high-level computing preferences. This is why we decided we want to have this survey. Q: Why did you choose SlashData? At Client, we have had the experience of working with SlashData. And we did get a high value out of the previous report that you did for us. I was impressed by the support that I got when I needed it, the responsiveness, how you were always on schedule. The real part of working together. I felt how you put the customer at the front, the priority. All of these were very important to us. This is why we chose to work with you again on this project. Working together I really got the feeling that you’re trying to understand real problems Q: What did you like about the process of working with SlashData? I really liked the execution: the ability to execute fast and answer our questions. We worked very well, very collaborative. Truth is, we did have a slow start. But then you said “let’s do this: you will write your assumptions, we will ask questions and approach this project this way”. Once we started that, work was progressing in a much better way. It was hard at the beginning, but I got excellent support. You had excellent questions, I really got the feeling that you’re trying to understand real problems. “What is it that we are trying to solve?”. You also asked questions to learn more about what we are doing, which I found very professional. Q: What are the things you found challenging when working with SlashData? We said that we would be adding X custom questions to your survey. But from our side, we tried to add more and more and we were left with all those very complex questions. Very complex questions are tougher to answer when you are looking to gain something specific. You did tell us to get the simple questions answered. This is what comes to mind in retrospect: Don’t make the questions too complex, trying to squeeze in more. You will get more value out of the simple questions, not the very complex ones. Deciding using the data I used a significant part of those questions to presentations I gave to our senior executives. Q: How did this project/report/data solve your problem/challenge overall? Did you understand the developers’ problems more based on the report? I used a significant part of those questions to presentations I gave to our senior executives. I was especially more confident to use the less complex questions we asked. If I had my current experience in the beginning, I would have managed to secure a higher budget to ask more, simpler questions. data that show what our customers think and therefore, we could work with more than just our own thoughts and assumptions Q: What decisions did you make using the data/research? The work we did together was part of a huge project that Client is working on. I’m afraid I can’t disclose exactly the steps we did take after going through the analysis you gave us. What I can tell you is that senior management really liked the fact that we spoke to our customers and asked them directly. And not only that, but we also brought data that show what our customers think and therefore, we could work with more than just our own thoughts and assumptions. Client is planning for some huge products and of course there are a lot of parameters and a lot of things being done. But this data helped us pick a direction. How would you describe the service quality? The service was excellent, really. This interview is part 3 of the “How we work with our clients” series. The product this client worked with was custom questions and analysis and a custom report , to target their specific needs. You can also see how Okta worked on increasing developer satisfaction using our Developer Program Benchmarking and how another client used our Deep Dives to boost their Developer Experience . Working on a new initiative or want to make sure your product will win developers’ hearts? Talk to us. You can find all our data & free industry reports in our Research Space . 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.

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

    Developers’ approaches, motivations, and challenges around building green software Who's integrating sustainable software engineering principles? 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. Access the Full Preview About this Report Developers’ approaches, motivations, and challenges around building green software 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 All Insights

  • AI-assisted coding tools Competitive Technology Landscape Report Q1 2025 | Competitive Technology Landscape Tech Market Research

    Track adoption, market share and satisfaction All Reports AI-assisted coding tools Competitive Technology Landscape Report Q1 2025 Track adoption, market share and satisfaction Access the Full Report About this Report What is the AI-assisted coding tools Competitive Technology Landscape? In our AI-assisted coding tools Competitive Technology Landscape report, we benchmark the main competing AI-assisted coding tools based on the responses of over 1,400 developers who used these tools in the last year. We look at which vendor products and technologies developers are currently using and we measure developer satisfaction across 14 different attributes. Our analysis provides deep insights on the criteria developers use to select products and how likely they are to recommend. Key Questions Answered - Which technologies have DevOps developers used in their software development projects in the past 12 months? - Which AI-assisted coding tools are developers aware of, which are they currently using and which have they abandoned? -Which attributes do developers consider most important when they select an AI-assisted coding tool? - Do developers rely on a single AI-assisted coding tool, or do they use multiple? - Why do developers stop using AI-assisted coding tools? - How satisfied are developers with each AI-assisted coding tool? How do they score the tools they use across the attributes they consider most important? - How likely are developers to recommend the AI-assisted coding tools products they are currently using? - How do the user bases of the most popular AI-assisted coding tools compare to one another? Click to expand ACCESS THE FULL REPORT Methodology The report is based on data collected from the 29th 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 December 2024 and February 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 mobile games development | Mobile DEI Tech Market Research

    With billions of people now carrying powerful computers in their pockets, the audience for mobile games has become truly vast and global in scale, with mobile game development being an attractive and accessible field for developers. This report delves into the current landscape of mobile game development, by assessing the demographics of mobile game developers, looking at their geographic distribution and experience levels. Next, we examine the nature of their involvement in the sector, and unveiling their primary goals when developing games. Our attention also turns to the choices and decisions made by mobile game developers for their projects, while we also delve into the types of games being created and explore the strategies game developers employ to monetise their projects. All Insights Landscape of mobile games development A broad view of the demographics and technology choices of game developers Access the Full Preview About this Report With billions of people now carrying powerful computers in their pockets, the audience for mobile games has become truly vast and global in scale, with mobile game development being an attractive and accessible field for developers. This report delves into the current landscape of mobile game development, by assessing the demographics of mobile game developers, looking at their geographic distribution and experience levels. Next, we examine the nature of their involvement in the sector, and unveiling their primary goals when developing games. Our attention also turns to the choices and decisions made by mobile game developers for their projects, while we also delve into the types of games being created and explore the strategies game developers employ to monetise their projects. Key Questions Answered Who are mobile game developers and where are they located? How many years of experience do mobile game developers have? How are mobile game developers involved in the field? What are the main goals of mobile game developers? Which platforms do mobile game developers target? Do mobile game developers build cross-platform games? What type of games are mobile game developers building? How do mobile game developers monetise their games? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 1,100 self-identified mobile game developers in the 26th edition of our Developer Nation survey, which ran between December 2023 and February 2024. 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 | Mobile 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. All Insights How developers integrate generative AI into their apps Approaches, use cases, challenges, and cloud services used Access the Full Preview 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. 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 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. 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

  • Mobile developers population forecast | Mobile DEI Tech Market Research

    In this report, we look into the underlying trends behind the growth of the mobile developer population across the world. We start by exploring the global population of mobile developers over the years and break it down by geographical location. Then, we look at the breakdown of the total mobile developer population by professional status and categories of applications built. Finally, we discuss the platforms and technologies that mobile developers use, and we estimate the size of the addressable market-specific tools used to create mobile applications, such as programming languages and frameworks. All Insights Mobile developers population forecast How many mobile developers are there? Access the Full Preview About this Report In this report, we look into the underlying trends behind the growth of the mobile developer population across the world. We start by exploring the global population of mobile developers over the years and break it down by geographical location. Then, we look at the breakdown of the total mobile developer population by professional status and categories of applications built. Finally, we discuss the platforms and technologies that mobile developers use, and we estimate the size of the addressable market-specific tools used to create mobile applications, such as programming languages and frameworks. Key Questions Answered How many mobile developers are there across the globe? What is the breakdown of these backend developers by professional status, geographical region, and experience? What types of tools and technologies are mobile developers using? Who are mobile developers primarily targeting with their software? Click to expand ACCESS THE FULL PREVIEW Methodology To count developers, we use an independent, bottom-up methodology. The data we use to arrive at the estimates in this report comes from: 1. Reliably measured numbers of developers or direct indicators of their activity: GitHub accounts and repositories, Stack Overflow accounts, and employment statistics from the USA and the European Union. 2. Our proprietary developer survey data, i.e., measured developer behaviour. For this report, we used data from 44,000+ mobile developers across six consecutive surveys. 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 build AI-enabled applications | Free Industry Reports & This report explores how software developers add artificial intelligence (AI) functionality to their applications. We start by looking at the percentage of developers who add AI functionality to their applications, breaking it down by professional status and company size. Following this, we focus on the types of models that these developers use in their applications. Tech Market Research

    Key Questions Answered What percentage of developers add AI functionality to their applications? How does the usage of AI functionality in applications differ based on company size? What types of models do developers use to add AI functionality to their applications? Click to expand ACCESS THE FULL REPORT Methodology The 27th edition of the Developer Nation survey reached more than 9,000 respondents from 130+ countries around the world. This research report delves into key developer trends for Q3 2024 and beyond. 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 All Reports 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. How developers build AI-enabled applications Types of models developers incorporate in AI-powered applications Access the Full Report About this Report This report explores how software developers add artificial intelligence (AI) functionality to their applications. We start by looking at the percentage of developers who add AI functionality to their applications, breaking it down by professional status and company size. Following this, we focus on the types of models that these developers use in their applications.

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