Actionable Benefits
- Identify penetration of Artificial Intelligence (AI) on edge devices, gateways, and on-premise servers.
- Understand how edge AI chipset shipment and revenue will grow by key verticals and regions.
- Evaluate strategy based on relative growth of edge AI chipset architectures.
- Educate internal and external stakeholders about the impact of AI on chipset shipments and revenue.
Research Highlights
- Forecasts for AI chipset shipments and revenue in the edge market from 2023 to 2030.
- Detailed breakdowns by region, architecture, vertical, workload, and use case.
Critical Questions Answered
- How will AI hardware be adopted in edge devices, gateways, and servers until 2030?
- How will the AI chipset market for each device type and vertical develop going forward?
- Which AI workloads will edge AI target?
- How does this growth differ by region and chipset architecture?
- Which chipset architecture will dominate edge AI by 2030?
Who Should Read This?
- Sales and marketing leaders in diverse markets affected by AI.
- Investors gauging the potential for growth in the markets covered.
- Strategists across entire AI stack developing edge AI product and strategy.
- Chipset vendors seeking greater insight into their market sizes and new growth areas.
Companies Mentioned
Related Research
Artificial Intelligence and Machine Learning Market Data Overview: 1Q 2025
Presentation | 1Q 2025 | PT-3643
Artificial Intelligence and Machine Learning: TinyML Market Data Overview: 1Q 2025
Presentation | 1Q 2025 | PT-3641
Commercial and Industrial Machine Vision Market Data Overview: 3Q 2024
Presentation | 3Q 2024 | PT-3012