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- 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- Developers in the age of AI | Free Industry Reports & This report is a collaboration between Catchy and SlashData. It explores how developers are navigating “the age of AI”, i.e. the profound shift of the past few years, where breakthroughs in generative models and coding assistants have moved AI from experimental labs into everyday developer workflows. This change is reshaping what it means to be a developer at every level. It’s altering how code is written, how applications are designed, and how developers think about their role in building intelligent systems. Drawing data from SlashData’s Q3 2025 Developer Nation, this report looks beyond the hype to reveal how AI is being used in practice. We explore the many ways developers are adopting assistants, embedding APIs, and building AI-powered applications. Tech Market Research
Key Questions Answered To what extent do developers use or work with AI technologies, and how are these woven into their daily workflows? How are developers integrating AI into their own applications, and what balance are they striking between accessibility and complexity? What is the state of the AI-assisted coding tools market, including developer awareness, usage, experimentation/churn rates, and loyalty/satisfaction (NPS/CSAT)? What are developers' top priorities when evaluating fully-managed generative AI services or APIs (e.g. quality, security, reliability, cost)? What are the dominant deployment patterns among AI/ML developers (e.g. cloud vs. edge/hybrid)? What do AI/ML developers see as the next major trends in the space? Click to expand ACCESS THE FULL REPORT 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. 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. Developers in the age of AI Adoption, expectations, and the tools shaping the future Access the Full Report About this Report This report is a collaboration between Catchy and SlashData. It explores how developers are navigating “the age of AI”, i.e. the profound shift of the past few years, where breakthroughs in generative models and coding assistants have moved AI from experimental labs into everyday developer workflows. This change is reshaping what it means to be a developer at every level. It’s altering how code is written, how applications are designed, and how developers think about their role in building intelligent systems. Drawing data from SlashData’s Q3 2025 Developer Nation, this report looks beyond the hype to reveal how AI is being used in practice. We explore the many ways developers are adopting assistants, embedding APIs, and building AI-powered applications. Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- Usage of AI assistance between DORA performance groups | Free Industry Reports & In this report, we look into the rates of adoption of generative AI tools to assist development and AI services among those in different DORA performance groups. Using this we hope to provide additional context on how software delivery performance is being impacted by the new AI tools and services. Tech Market Research
Key Questions Answered Do AI assistance and services impact software delivery performance? Which features of software delivery performance benefit or suffer from AI assistance and services? Click to expand ACCESS THE FULL REPORT Methodology The 29th edition of the Developer Nation survey reached more than 10,500 respondents from 127 countries around the world. This research report delves into key developer trends for Q1 2025 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. Usage of AI assistance between DORA performance groups Exploring GenAI usage between delivery performance groups Access the Full Report About this Report In this report, we look into the rates of adoption of generative AI tools to assist development and AI services among those in different DORA performance groups. Using this we hope to provide additional context on how software delivery performance is being impacted by the new AI tools and services. Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- AI-assisted coding tools Competitive Technology Landscape Report Q3 2025 | Competitive Technology Landscape Tech Market Research
Track adoption, market share and satisfaction All Reports AI-assisted coding tools Competitive Technology Landscape Report Q3 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 1,700 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 20 different attributes. Our analysis provides deep insights into the criteria developers use to select products and how likely they are to recommend Key Questions Answered 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 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 six and a half 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- AI Coding Tools Benchmark | Competitive Technology Landscape Tech Market Research
How AI coding tools compare in terms of key performance indicators All Reports AI Coding Tools Benchmark How AI coding tools compare in terms of key performance indicators Access the Full Report About this Report Artificial Intelligence (AI) has now become a core infrastructure component of modern software engineering, reshaping everything from how code is written to how software teams deliver value. In this report, we benchmark the rapidly evolving landscape of AI coding assistants, agents, and AI-native IDEs – otherwise referred to as AI coding tools. By doing this, we provide a clear path to understanding not just which tools are leading, but how they are fundamentally changing how developers work. The goal is to offer buyers clarity on where AI delivers measurable impact, and to highlight for vendors where the strongest opportunities and gaps exist. This report presents data from our inaugural AI Coding Tools Benchmark. The results were collected in Q4 2025 from a global panel of 837 professional developers who use AI coding tools. We benchmarked 16 of the most prominent AI coding tools, selected for their market impact and technological relevance. They are, in alphabetical order: Aider, Amazon Q Developer, Claude Code, Cline, Cursor, Firebase Studio, Gemini Code Assist, GitHub Copilot, GitLab Duo, JetBrains AI, Mistral Code, OpenAI Codex, Replit, Sourcegraph Amp, Tabnine, and Windsurf. Key Questions Answered Which AI coding tools are developers actually using, and how deeply are they integrated into day-to-day workflows? How satisfied are developers with these tools, particularly on the coding tasks that matter most? How much measurable productivity uplift do these tools deliver – in terms of PR throughout and weekly time saved? How does developer trust translate into real behaviour – acceptance of AI-generated code versus ongoing manual review and oversight? Click to expand ACCESS THE FULL REPORT Methodology In Q4 2025, SlashData designed and ran a global, online survey to study how professional developers who rely on AI technologies for their coding work engage with AI coding assistants, agents, and AI-native IDEs. We conducted the analysis presented in this report based on data collected from 800+ respondents across more than 20 countries worldwide. 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- How developers integrate generative AI into their apps| DevOps 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 affects developer productivity? How do you measure developer productivity? 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- Benchmarking backend and cloud technology strategies | Free Industry Reports & This report examines cloud and server-side technology adoption patterns across organisation sizes and industry sectors, revealing insights that challenge conventional wisdom about technology maturity.We explore how multi-environment strategies evolve with organisational scale, why container adoption varies across company sizes, and how platform teams create infrastructure capabilities that are frequently invisible to their developers. Through analysis of deployment strategies, modern architecture adoption, and industry-specific technology leadership, we provide IT executives with frameworks for evaluating their technology strategies against relevant peer organisations rather than generic industry trends.The findings reveal that successful technology adoption depends lesson following best practices and more on aligning technology choices with organisational capabilities, industry requirements, and strategic priorities Tech Market Research
Key Questions Answered How does organisation size impact cloud deployment strategy? How does organisation size impact cloud technology adoption? How does the industry of organisations impact cloud technology adoption? How does the industry of organisations impact the sophistication of their backend services? Click to expand ACCESS THE FULL REPORT Methodology The 30th edition of the Developer Nation survey reached more than 12,000 respondents from 128 countries around the world. This research report series delves into key developer trends for Q3 2025 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. Benchmarking backend and cloud technology strategies How company size and industry shape developers' deployment strategies and technology choices Access the Full Report About this Report This report examines cloud and server-side technology adoption patterns across organisation sizes and industry sectors, revealing insights that challenge conventional wisdom about technology maturity.We explore how multi-environment strategies evolve with organisational scale, why container adoption varies across company sizes, and how platform teams create infrastructure capabilities that are frequently invisible to their developers. Through analysis of deployment strategies, modern architecture adoption, and industry-specific technology leadership, we provide IT executives with frameworks for evaluating their technology strategies against relevant peer organisations rather than generic industry trends.The findings reveal that successful technology adoption depends lesson following best practices and more on aligning technology choices with organisational capabilities, industry requirements, and strategic priorities Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- 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. Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- State of Development Environments | Free Industry Reports & The report dives deep into how organisations are evolving their setups. Beyond standardisation, the report reveals key challenges like misaligned priorities between admins and developers, a lack of education around cloud-hosted environments, and missed opportunities to reduce setup times. For platform teams, the insights highlight an urgent need to bridge the gaps and reimagine collaboration, and allows readers to discover how forward-thinking organisations are transforming environments into a strategic advantage Tech Market Research
Key Questions Answered How long it takes platform teams and developers to provision development environments The level of autonomy and flexibility developers have while creating and using their environments The biggest challenges teams face while creating and managing development environments Companies’ plans for standardizing environments over the next three years Click to expand ACCESS THE FULL REPORT Methodology In this edition of the State of Development Environments, we surveyed more than 550 professionals working in the software development space, who work at large companies and use development environments during their work. For this survey, large companies were defined as organizations with more than 1000 employees or more than 100 developers. Responses were checked for logical and consistent responses, before being analyzed to produce the results of this research report. Demographic breakdowns for the survey respondents are shown in this chapter. 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 Development Environments Understanding the current practices and maturity of the CDE market. Access the Full Report About this Report The report dives deep into how organisations are evolving their setups. Beyond standardisation, the report reveals key challenges like misaligned priorities between admins and developers, a lack of education around cloud-hosted environments, and missed opportunities to reduce setup times. For platform teams, the insights highlight an urgent need to bridge the gaps and reimagine collaboration, and allows readers to discover how forward-thinking organisations are transforming environments into a strategic advantage Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- Which content types do developers value?| AR/VR DEI Tech Market Research
Preferences for learning, keeping up to date, problem-solving, and engaging with community Which content types do developers value? 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. Access the Full Preview About this Report Preferences for learning, keeping up to date, problem-solving, and engaging with community 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 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. 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- Observability in software development| IoT DEI Tech Market Research
The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. All Insights Observability in software development and the challenges developers face in observability projects Access the Full Preview About this Report The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. Key Questions Answered What are the features of a high quality API according to developers? What are developers concerned with in their use of third-party APIs? According to developers what are the key security risks in the use of third-party APIs? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 15,000 professional developers who indicated that they use DevOps technologies in the 23rd edition of our Developer Nation survey, which was fielded in Q3 2022. 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- Who's integrating sustainable software engineering principles? | 3rd-party Platforms 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 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 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 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. Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- Choosing the right AI coding tools for your team | Free Industry Reports & The rapid rise of AI-assisted coding tools marks a pivotal moment in software development. What began as experimental add-ons has quickly evolved into a crowded market of products, each claiming to boost productivity and transform workflows. Yet with so many options and so much noise, it can be difficult to know which tools are truly delivering value. By examining adoption, satisfaction, and trust-related attributes such as accuracy, support, and security, this report provides a data-driven benchmark of which AI coding tools developers are embracing and which they rate most highly. The analysis reveals where usage aligns with satisfaction, where trust is earned through consistent delivery, and where gaps remain between expectations and reality. For engineering leaders making decisions about which tools to integrate and scale across their teams, the insights in this report help distinguish the coding tools that enable productivity from those that are still struggling to meet developer needs. Tech Market Research
Key Questions Answered What share of professional developers use AI-assisted coding tools, and which ones are the most popular? How do AI-assisted coding tools rank in terms of satisfaction? How does satisfaction vary based on developers’ experience? What are the key strengths of the top AI-assisted coding tools? Click to expand ACCESS THE FULL REPORT Methodology The 30th edition of the Developer Nation survey reached more than 12,000 respondents from 128 countries around the world. This research report series delves into key developer trends for Q3 2025 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. Choosing the right AI coding tools for your team Usage, satisfaction, and trust among professional developers Access the Full Report About this Report The rapid rise of AI-assisted coding tools marks a pivotal moment in software development. What began as experimental add-ons has quickly evolved into a crowded market of products, each claiming to boost productivity and transform workflows. Yet with so many options and so much noise, it can be difficult to know which tools are truly delivering value. By examining adoption, satisfaction, and trust-related attributes such as accuracy, support, and security, this report provides a data-driven benchmark of which AI coding tools developers are embracing and which they rate most highly. The analysis reveals where usage aligns with satisfaction, where trust is earned through consistent delivery, and where gaps remain between expectations and reality. For engineering leaders making decisions about which tools to integrate and scale across their teams, the insights in this report help distinguish the coding tools that enable productivity from those that are still struggling to meet developer needs. Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd
- Concerns, challenges, and use of third-part APIs| IoT DEI Tech Market Research
Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. All Insights Concerns, challenges, and use of third-part APIs A look at third party APIs: usage, characteristics, security. Access the Full Preview About this Report Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. 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 The report is based on data collected from over 22,500 developers who answered questions related to the use of APIs in the 24th edition of our Developer Economics survey, which was fielded in Q1 of 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd













