Artificial Intelligence and Machine Learning: Edge AI
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.
Pivot Table Datasets
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Edge AI Inference & Training Chipset Revenue
8 Columns | 21504 Rows
Region: Asia-Pacific, Europe, North America, Rest of the World
Workload: Inference, Training
Use Case: All (Gateway), All (On-Premises Server), Audio and Sound Processing, Machine Vision, Others, Sensor Data Analysis
Vertical: Agriculture, Automotive, Banking and Finance, Cellular Network, Healthcare, Manufacturing, Retail, Robot, Smart Building, Smart City, Smart Home, sUAS, Transport & Logistics, Utilities, Wearables, XR
Location: Gateway, On-Device, On-Premise Server
Architecture: ASIC, CPU, FPGA, GPU
Years: 2023 - 2030 -
Edge AI Inference & Training Chipset Shipments
8 Columns | 21504 Rows
Region: Asia-Pacific, Europe, North America, Rest of the World
Workload: Inference, Training
Use Case: All (Gateway), All (On-Premises Server), Audio and Sound Processing, Machine Vision, Others, Sensor Data Analysis
Vertical: Agriculture, Automotive, Banking and Finance, Cellular Network, Healthcare, Manufacturing, Retail, Robot, Smart Building, Smart City, Smart Home, sUAS, Transport & Logistics, Utilities, Wearables, XR
Location: Gateway, On-Device, On-Premise Server
Architecture: ASIC, CPU, FPGA, GPU
Years: 2023 - 2030
Version History
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Artificial Intelligence and Machine Learning: Edge AI
Market Data | 2Q 2024 | MD-AIMLOD-101
Tables
- Total Shipments and Revenue of Edge AI Inference & Training Chipsets by Architecture, World Markets: 2023 to 2030
- Total Shipments and Revenue of Edge AI Inference & Training Chipsets by Use Case, World Markets: 2023 to 2030
- Total Shipments and Revenue of Edge AI Inference & Training Chipsets by Region, World Markets: 2023 to 2030
- Total Shipments and Revenue of Edge AI Chipsets by Workload, World Markets: 2023 to 2030
- Total Shipments and Revenue of Edge AI Inference & Training Chipsets in Smartphones by Vertical, World Markets: 2023 to 2030