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Trusted by leading tech companies for 20+ years, SlashData is the leading research and analyst firm for AI software development and developer ecosystems. About More Best-in-class research firm on how AI is reshaping software development For over 20 years, SlashData has helped the world’s leading technology companies understand developers, software ecosystems, and how software development is changing in the AI era. Boost developer adoption by making the right strategy investments Our analysts can help you drive decision-making with confidence TALK TO OUR ANALYSTS Upcoming Webinars 30 July 2026 AI Is Transforming Developer Work. But Not Replacing Developers BOOK YOUR SEAT Just in: New AI insights Developer Ecosystem Insights - Adapting mobile apps beyond the smartphone (Jun 2026) GET THE INSIGHTS At Least 16 Million People Are Building Software Without Knowing How to Code (Jun 2026) GET THE INSIGHTS The 2026 State of Developer Adoption (Jun 2026) GET THE INSIGHTS Developer Ecosystem Insights - Autonomous AI agents in development (May 2026) GET THE INSIGHTS Cloud Repatriation: Not the Story We've Been Told (May 2026) GET THE INSIGHTS Developer Ecosystem Insights - The role of AI in software security (May 2026) GET THE INSIGHTS Choosing the right AI coding tools for your team SEE THE REPORT AI Coding Tools Benchmark: A comparison of 20 most prominent AI developer tools (Apr 2026) SEE THE LEADERS The State Of AI ROI Measurement In Software Teams (Apr 2026) GET THE INSIGHTS Blog Latest Who we are & what we do SlashData is an AI analyst firm which has been working with the top Tech brands to provide clarity and confidence in their decision-making. For 20 years, we have been tracking software technology trends and helping technology brands make product and marketing investment decisions. We challenge assumptions and reframe market trends to empower industry leaders to drive the world towards the future, by talking to developers, the early adopters and predictors of AI tech. They trust us Explore the developer economy, talk to an analyst. Contact us First name* Last name* Work Email* Company * Message SUBMIT Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd

SlashData’s AI Workflow Impact webinar explores report-backed insights and chart takeaways for AI tooling teams and ITDMs. Register now to learn more. About More

Explore Q1 2026 trends in developers’ AI usage and how organisations measure AI coding tool ROI, with practical signals for product, marketing, and DevRel teams. About More Free Live AI Webinar | March 31st | Free Slide Deck Available New data: AI usage and measuring AI ROI Sourced through an independent, global survey of 11,880+ software developers. This webinar has now ended. You can still download the free slide deck with the key findings. Inside the deck: ✅ How software developers are interacting with AI technologies ✅ Growth of AI assisted tools usage ✅ Do developers in leadership roles feel benefits exceed the costs of AI tools? ✅ How many tech leaders are measuring the ROI of AI? ✅ How AI ROI measurement maturity changes based on company size DOWNLOAD THE SLIDE DECK SAVE YOUR SEAT They trust us Highlights you can't miss: Access the deck First name Last name Email Position Company name I agree to be contacted and to SlashData's Privacy Policy ACCESS THE SLIDE DECK SAVE YOUR SEAT AI developer tools adoption, satisfaction & what to expect in 2026 , based on data AI coding tools are now mainstream: 69% of professional developers who responded to our survey use them for most or nearly all of their coding work. At the same time: Product managers and AI coding tools PMMs lack clarity about what features drive developer engagement and performance Developer team leads struggle to choose a tool to adopt, which could make or break their team’s current productivity. In this session, we unpack clear signals and what these mean for developer-facing activities around AI coding tools. Register to access the live briefing + a Q&A session with Bleona Bicaj. SAVE YOUR SEAT Why you can't get this from an AI search In this webinar In a typical AI search Results from a structured study of 200+ questions tracked across 20 years Summaries of publicly available articles or opinions Comparisons across tools measured using the same survey design and methodology Fragmented information from different sources using different metrics Signals about how professionals measure ROI based on real use cases and validated responses Publicised internal telemetrics or calculated guesses Interpretation from the analysts who designed the research and analysed the dataset Synthesised summaries without context about how the data was generated Discussion of patterns emerging across the AI developer and coding tools usage Summaries based on tool provider announcements Opportunity to ask questions about what the findings mean for your product or strategy AI guesses based on popular breakdowns What we will cover in this webinar session 1. AI usage How developers are interacting with AI technologies in Q1 2026 Trends on developers' interaction with AI technologies 2. AI ROI Do senior engineering leaders believe AI coding tools are worth the investment? Are organisations actually tracking whether AI tools deliver, or relying on instinct? Among measurers, how structured is that process – and does "we measure it" mean anything consistent across the market? How does measurement maturity differ between different company sizes? 3. Introducing: AI Developer Tools Benchmark We know that choosing the right AI developer tool, or making the case for one internally, is harder than it should be. There's a lot of noise, a lot of vendor claims, and not enough independent signal. That's exactly why we built the AI Developer Tools Benchmark. It is a rigorous, survey-based study that gives engineering leaders and product teams a clear, comparable view of how today's leading AI coding tools actually perform: across productivity, trust, quality, and value. Real data from real developers so that you can make decisions with confidence. Presenter Bleona Bicaj, Principal Research Consultant & Product Strategist Bleona is a research consultant, enthusiastic about product strategy and behavioural science. She holds a Master’s in Economic and Consumer Psychology. With more than 6 years of professional experience as an analyst, she has worked across quantitative and qualitative research studies, turning complex data into clear narratives that inform better products, smarter investments, and long-term growth. Methodology & data source Developer Nation 31st edition reached over 11,880 respondents around the world. As such, the Developer Nation series continues to be the most comprehensive independent research on mobile, desktop, Industrial IoT, consumer electronics, 3rd party app ecosystems, cloud, web, game, AR/VR and machine learning developers and data scientists combined ever conducted. All insights are based on the large-scale online developer survey designed, produced and carried out by SlashData over a period of six and a half weeks between December 2025 and January 2026. All SlashData surveys are monitored and cleaned to ensure the highest standards of retained responses. Our proprietary cleansing is designed to mitigate and remove opportunistic, fraudulent, and bot responses. Consisting of multiple criteria formulated around logic rules, speed, consistency, and response-taking behaviour, this holistic assessment is key to ensuring the highest degree of data quality. FAQs about the webinar If I can’t attend live, should I still register for the AI developer tools webinar? Yes. Registrants receive the recording and slides after the session, so you can still use the content internally but you will miss the ability to interact during the QnA section and the chance to connect with the speakers. What exactly do I get immediately after registering? A confirmation and access details via Luma, plus delivery of the free benchmark snapshot as part of the registration flow. Can I share the webinar materials internally? Of course. The recording and slides are designed to power decisions, so all insights are presented in a way that encourages discussion and internal circulation across engineering, product, procurement, and finance stakeholders. What data will be discussed publicly versus reserved for the full benchmark? This webinar covers the benchmark signals and how to interpret them for strategic decisions. Deeper data cuts, dashboards and tailored competitive benchmarkings are available exclusively through an analyst briefing. Contact us to organise a walkthrough of the available insights you can access. Make AI your competitive advantage, not a liability Contact us First name* Last name* Work Email* Company * Message SUBMIT Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd

The report is based on data collected from 14,000+ developers involved in DevOps-related activities who told us about the approaches they use to secure their applications in the 23rd edition of our Developer Nation survey, which was fielded between June and August 2022. Applications and shift-left security Exploring the application security landscape Access the Full Preview All Insights About this Report The report is based on data collected from 14,000+ developers involved in DevOps-related activities who told us about the approaches they use to secure their applications in the 23rd edition of our Developer Nation survey, which was fielded between June and August 2022. Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand ACCESS THE FULL PREVIEW Methodology Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. 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

This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. All Insights How developers use AI-assisted development tools Exploring adoption, effectiveness and challenges for AI-assisted tools. Access the Full Preview About this Report This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. Key Questions Answered 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd

Key Questions Answered How has engagement with AI changed amongst professional developers over the past 2 years? Where do open and open-source models stand when it comes to embedding AI functionality into applications? 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. Progression of how developers engage with AI Trends amongst professional software developers, Q1 2024 to Q1 2026 Access the Full Report About this Report This report examines how professional software developers’ engagement with artificial intelligence (AI) has evolved between Q1 2024 and Q1 2026. We first look at the overall state of AI engagement in Q1 2026 and then assess how that picture has changed over time. We then focus on developers who are adding AI functionality to applications to understand what types of models they are using and what this may indicate about the direction of the market. Results are based on data collected from a combined pool of over 47,000 professional developers over six waves of our global Developer Nation survey1. More information about how the survey was conducted can be found in the Methodology section at the end of this report. 1Sample sizes per wave: 7,380 (Q1 2024); 7,567 (Q3 2024); 4,933 (Q4 2024); 8,175 (Q1 2025); 9,540 (Q3 2025); 10,278 (Q1 2026). Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd

In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. All Insights Landscape of network APIs Exploring developer adoption, challenges, and preferred pricing models for network APIs Access the Full Preview About this Report In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. Key Questions Answered Where are developers using network APIs located? What type of projects are network API users building? What types of network APIs are developers using? How do professional involvement and company size influence the implementation of network APIs? What challenges do developers face when using network APIs? How do developers prefer to pay for network APIs? How do pricing preferences differ between regions and companies of different sizes? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of our Developer Nation survey, which was fielded between June and July 2024. This survey reached more than 9,000 respondents from 130+ countries around the world. 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

Key Questions Answered Which API Management & DevEx Tools are developers: adopting, trialing, assessing and holding? Which API Management & DevEx Tools are rated as the most useful? Which API Management & DevEx Tools are the most likely to be recommended? Which Observability technologies are developers: adopting, trialing, assessing and holding? Which Observability Technologies are rated as the most useful? Which Observability Technologies are the most likely to be recommended? Click to expand ACCESS THE FULL REPORT Methodology Over two weeks in February 2025, more than 300 professional developers using cloud native technologies were asked for their opinions on various observability technologies and platform tools for API management and developer experience that they were familiar with. These two technology groups were identified by CNCF as areas to investigate further for this technology landscape radar. The individual technologies selected are based on those identified by CNCF's End User Technical Advisory Board (TAB). 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. CNCF Technology Radar Observability Technologies & API Management and Developer Experience Access the Full Report About this Report In Q1 2025, more than 320 professional developers using technologies associated with cloud-native development were asked about their experience and opinions with regard to observability technologies and platform tools for developer experience and API management. The technologies shown to developers were selected by CNCF and CNCF’s End User Community for relevance and importance. The developers surveyed originate from around the world and have a large range of specialities and areas of focus. Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd

Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. All Insights Applications and shift-left security Exploring the application security landscape Access the Full Preview About this Report Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Methodology The report is based on data collected from 14,000+ developers involved in DevOps-related activities who told us about the approaches they use to secure their applications in the 23rd edition of our Developer Nation survey, which was fielded between June and August 2022. Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd

This report provides data and insights into trends that allow you to estimate the addressable market for IoT technologies in terms of the number of developers using these technologies. The report looks at the global number of industrial internet of things (IIoT) and consumer electronics (CE) developers and forecasts the population change through Q1 2024. We report on the number of people who identify as professionals or amateurs, we provide population estimates for different regions, explore some of the current trends and emerging technologies in IoT and provide an outlook for the near term. Further, the report also evaluates which IIoT and CE product markets and technologies populations have changed since 2021 and forecast their populations by Q1 2025. All Insights IoT developer population forecast How many IIoT/CE developers are there? Access the Full Preview About this Report This report provides data and insights into trends that allow you to estimate the addressable market for IoT technologies in terms of the number of developers using these technologies. The report looks at the global number of industrial internet of things (IIoT) and consumer electronics (CE) developers and forecasts the population change through Q1 2024. We report on the number of people who identify as professionals or amateurs, we provide population estimates for different regions, explore some of the current trends and emerging technologies in IoT and provide an outlook for the near term. Further, the report also evaluates which IIoT and CE product markets and technologies populations have changed since 2021 and forecast their populations by Q1 2025. Key Questions Answered How many IIoT/CE developers are there? Where are these developers located? Where do IoT developers deploy their code? What markets are IoT developers targeting? What technologies are IoT developers currently using? Click to expand ACCESS THE FULL PREVIEW Methodology To estimate the number of 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 7,000+ IIoT and 8,600+ CE 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 Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd

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

This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. All Insights Developers’ experience with integrating AI functionality A focus on open and open-source AI models Access the Full Preview About this Report This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models. 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

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. Upcoming Webinar: Live · 30 July · 4 PM UK - Speaker: Liam Bollmann-Dodd

Dependency management refers to the processes and practises developers use to handle the external libraries, frameworks, and packages on which their code relies. This report covers a range of topics within the realm of dependency management, including the most widely adopted practices, common challenges, and how experience level impacts a developer’s approach. It examines the tools and resources developers use to stay informed about security vulnerabilities in third-party dependencies, as well as differences in strategies between professional developers and those identifying as students or hobbyists. All Insights Dependency Management in Software Development Landscape of the current adoption of dependency management best practices, challenges, and methods for learning about potential vulnerabilities Access the Full Preview About this Report Dependency management refers to the processes and practises developers use to handle the external libraries, frameworks, and packages on which their code relies. This report covers a range of topics within the realm of dependency management, including the most widely adopted practices, common challenges, and how experience level impacts a developer’s approach. It examines the tools and resources developers use to stay informed about security vulnerabilities in third-party dependencies, as well as differences in strategies between professional developers and those identifying as students or hobbyists. Key Questions Answered How many developers are actively involved in dependency management? Which dependency management best practices are developers undertaking? How does a developers experience in software development impact their dependency management practices? How does the size of the organisation a developer works for impact their dependency management practices? What are the major challenges developers face during dependency management? How do developers learn about possible vulnerabilities in their dependencies? Click to expand ACCESS THE FULL PREVIEW Methodology The insights presented in this report are based on data from the Developer Nation Survey conducted in Q3 2024, in which over 7,000 developers shared their thoughts and practices regarding dependency management. 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