The State of AI in Embedded Engineering 2025
Gain exclusive insight into how embedded engineers are adopting, implementing, and evolving with AI — and what it means for your product strategy.
Research partnership between EETech Media, LLC and Wilson Research Group, LLC
Understand the Future of AI in Embedded Design
AI is no longer experimental in embedded systems — it’s a design reality shaping performance, security, and time-to-market.
This 100+ page report reveals where engineers are investing, what tools they trust, and how their adoption patterns are redefining competitive advantage.
Built from survey data of 301 qualified engineers worldwide, this study quantifies the trends driving embedded innovation — from in-house AI deployment to hybrid edge-cloud architectures, open-source ecosystems, and security-first design.
What You'll Learn :
How engineers are integrating AI at the edge — and what’s driving or slowing adoption
The frameworks, processors, and ecosystems defining embedded AI development
Where engineers see the greatest value and performance gains from AI
The top barriers: data, security, explainability, and integration
How marketers can position products for an AI-accelerated design audience
Chapters Include
Demographics & Decision Influence
Who today’s embedded AI engineers are, and what they buy
Experience & Outlook on Embedded AI
From early experimentation to production deployment
Project Characteristics & Open Source Adoption
How tools, OSs, and connectivity shape design
Techniques & Performance Benefits
Where AI delivers measurable design value
AI Tools & Frameworks
The platforms engineers rely on most
Challenges, Data & Security Constraints
what’s slowing progress and how vendors can help
Automotive AI Applications
Use cases leading the next generation of mobility
Chip Type & Vendor Usage
Which vendors and ecosystems dominate design choices
Learning Methods & Media Consumption
How engineers upskill and where they turn for trusted information
Each section includes analytical takeaways and marketing implications, connecting technical realities to go-to-market relevance.
AI is reshaping embedded systems — and engineer expectations.
The brands that understand how engineers are learning, designing, and integrating AI will own the next wave of influence. Use this data to align product positioning, content strategy, and innovation messaging with what truly drives design decisions.
.png)
Don’t worry. We hate spam, too. Sign up for our quarterly newsletter packed with market updates and research insights.
.webp)