Insights on the tools, services, and strategies enabling real-world edge AI deployment
Edge AI is rapidly moving from concept to production, but development remains complex. Engineering teams must optimize models for constrained devices, manage performance and power tradeoffs, and continuously retrain and maintain models over time. These challenges are driving strong demand for specialized development tools, platforms, and professional services.
This report provides a detailed view of the edge AI development solutions market. It analyzes where demand is growing, how vendors are competing across tools and services, and what engineering organizations need to successfully build and deploy AI at the edge. The report includes market sizing and forecasts through 2029, workload trends across computer vision, sensor-based AI, and LLMs, and insights from VDC’s Voice of the Engineer research.
What you’ll learn
- How the edge AI development tools and services market is evolving
- Where the largest growth opportunities exist by workload and vertical
- Why model optimization and retraining are becoming continuous requirements
- How leading vendors are differentiating across tools, platforms, and services
Featuring insights from Altair, alwaysAI, AMD, AnythingLLM, Advantech, Agility Robotics, Aptiv, Arm, AWS, Blaize, Boston Dynamics, Bosch, Brium, Cadence, DataRobot, DEEPX, Edge Impulse, Everseen, Google, Hexagon, Infineon, Intel, Kinara, Latent AI, MathWorks, MediaTek, Microchip, Microsoft, ModelCat, MovianAI, Nordic Semiconductor, Nota AI, NVIDIA, Nutanix, NXP, PyTorch Foundation, Qualcomm, QNX, QuickLogic, Roboflow, Samsung, Scale AI, SensiML, Siemens, SiMa.ai, Squint, STMicroelectronics, Synaptics, Texas Instruments, Wind River, and more.
Download the Report to understand where edge AI development is headed and how to position your strategy for the next phase of growth.
