エッジAIのマーケットデータ　2024年第2四半期：人工知能と機械学習市場データ

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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.

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?

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.

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.

Tables

1. Total Shipments and Revenue of Edge AI Inference & Training Chipsets by Architecture, World Markets: 2023 to 2030
2. Total Shipments and Revenue of Edge AI Inference & Training Chipsets by Use Case, World Markets: 2023 to 2030
3. Total Shipments and Revenue of Edge AI Inference & Training Chipsets by Region, World Markets: 2023 to 2030
4. Total Shipments and Revenue of Edge AI Chipsets by Workload, World Markets: 2023 to 2030
5. Total Shipments and Revenue of Edge AI Inference & Training Chipsets in Smartphones by Vertical, World Markets: 2023 to 2030

Companies Mentioned

Array Technologies