Developers decide whether your AI platform wins
Independent research on what developers adopt, what they abandon, and why, for the product and marketing teams building AI platforms.
Trusted by the top technology companies
From hyperscalers and chip vendors to open source foundations.
- Red Hat
- Salesforce
- CNCF
- Mozilla
- Google Cloud
- Hugging Face
- Anthropic
- Cloudflare
Do you have the data and insights to make the right decisions?
- The landscape moves faster than anyone can track. Telling real adoption from noise is now a research problem, not a reading problem.
- Telemetry does not capture motivation. You can see what developers did in your product and not why they chose it.
- The competitive picture is unclear. Who is winning, in which category, in which segment, in which region, is genuinely hard to answer.
- New AI features have no defensible market size. Asking for budget without one is asking the board to take your word for it.
- Pricing and packaging have no outside benchmark. Every decision is made against your own history.
- The board wants category leadership, with proof. Claiming it is easy; evidencing it is not.
Research that gets you to a defensible answer
- Developer adoption and sentiment tracking by language, framework, role, company size and region
- Satisfaction and loyalty measurement
- Segmentation and profiling, with how to engage each segment
- Competitive benchmarking across features, pricing, packaging, docs, SDKs and ecosystem maturity
- Brand awareness and perception studies
- Thought-leadership reports built for PR, events and sales enablement
- Board-ready slides carrying third-party proof
Answers to the toughest questions
- Should we build this feature, or kill it?
- How big is the market for this AI use case?
- What will developers pay, and for which bundle?
- Where are we losing to our top three competitors?
- Which developer programmes deserve next year’s budget?
Why SlashData
- Tracking software development trends since 2008. We have tracked them through every platform shift since then.
- 30,000+ developers a year, in 160+ countries and 8+ languages. Reached through our own Developer Nation panel and 10+ vetted panels, with custom surveys in the field every month.
- Developers decide AI platforms. They are the people who adopt the tools, and they are the population we measure.
Frequently asked questions
Where does the data come from?
From developers, asked directly in our own surveys, across 160+ countries.
Can we ask our own questions?
Yes. We design and field a survey to your questions, reaching developers outside your user base, inside it, or both.
Can we filter the data ourselves?
Yes. Data Dashboards give your whole organisation access under one licence, with over 40 filters.
Can you size a specific segment of developers?
Yes. We size the developer population by region, language and technology, using our own model calibrated against survey data.
Talk to an analyst
Tell us the decision you are trying to make. We will get you the evidence, from our research or from a survey we run for you.
Talk to an analyst