Identify the market size (shipments and revenue) of Artificial Intelligence (AI) chipsets in Tiny Machine Learning (TinyML)/embedded devices for the rest of the decade.
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.
Critical Questions Answered
How significant will AI chipsets adoption be in embedded devices through 2030?
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 2030?
Research Highlights
Forecasts for AI chipset shipments and revenue in the TinyML market from 2023 to 2030.
Detailed breakdowns by region, vertical, architecture, and use case.
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.