Actionable Benefits
- Identify the market size (shipments and revenue) of Artificial Intelligence (AI) chipsets in Tiny Machine Learning (TinyML)/embedded devices through 2031.
- Understand how TinyML chipset shipments and revenue will grow by key regions and architectures, e.g., Neural Processing Units (NPUs).
- Evaluate strategy based on relative growth of key use cases, verticals and device types, and architectures.
Research Highlights
- Forecasts for AI chipset shipments and revenue in the TinyML market from 2024 to 2031.
- Detailed breakdowns by region, vertical, architecture, and use case.
Critical Questions Answered
- How significant will AI chipsets adoption be in embedded devices until 2031?
- How will the AI chipset market for each region develop going forward?
- Which AI use cases will these chipsets target?
- Which chipset architecture will dominate TinyML by 2031?
Who Should Read This?
- Chipset vendors seeking greater insight into their market sizes and new growth areas.
- Sales and marketing leaders in diverse markets impacted by AI.
- Investors gauging the potential for growth in TinyML.
- Strategists across the entire AI stack developing embedded products and marketing.