IoT 용도에서의 온디바이스 AI 시장 : 제1판

Berg Insight estimates that the revenues generated by on-device AI solutions reached US$ 10.1 billion in 2024, an increase of 22 percent year-on-year. This figure includes AI SoCs/SoMs, AI accelerators, AI MCUs and specialised on-device AI software and platforms, but excludes revenues generated by non-IoT applications such as smartphones, tablets and personal computers. The market is expected to grow to US$ 30.6 billion in 2029, representing a CAGR of 25 percent. Get up to date with the latest trends and developments with this unique 90-page report.

Highlights from the report:

• Insights from numerous executive interviews with market leading companies.
• 360-degree overview of the on-device AI ecosystem.
• Market value forecast for on-device AI hardware and software until 2029.
• Market shares for 40 key on-device AI hardware and software providers.
• Detailed profiles of 31 key on-device AI hardware and software providers.
• Use case descriptions across the most important industry verticals.
• In-depth analysis of market trends and key developments.

Table of Contents

Table of Contents

List of Figures

Executive Summary

1. Introduction

• 1.1. Cloud vs on-device processing
  • 1.1.1. On-device processing
  • 1.1.2. Cloud processing
  • 1.1.3. Edge data centre processing
  • 1.1.4. Hybrid approaches
• 1.2. AIoT: The convergence of AI and IoT
  • 1.2.1. What constitutes an IoT device?
  • 1.2.2. IoT connectivity options
• 1.3. Artificial intelligence technology overview
  • 1.3.1. Artificial intelligence
  • 1.3.2. Machine learning
  • 1.3.3. Deep learning
  • 1.3.4. Generative AI
• 1.4. On-device AI ecosystem
  • 1.4.1. On-device AI hardware
  • 1.4.2. On-device AI software
  • 1.4.3. On-device AI models
  • 1.4.4. On-device AI platforms

2. Market Analysis

• 2.1. The on-device AI industry landscape
  • 2.1.1. AI SoC/SoM providers
  • 2.1.2. AI accelerator providers
  • 2.1.3. AI MCU providers
  • 2.1.4. On-device AI platform providers
• 2.2. Market sizing and forecast
  • 2.2.1. Automotive on-device AI market size
  • 2.2.2. IoT on-device AI market size
  • 2.2.3. On-device GenAI vs non-GenAI market size
  • 2.2.4. On-device AI processor shipments
• 2.3. Solution provider market shares
• 2.4. Vertical adoption and use cases
  • 2.4.1. On-device AI in automotive IoT applications
  • 2.4.2. On-device AI in industrial IoT applications
  • 2.4.3. On-device AI in wearables
  • 2.4.4. On-device AI in retail IoT applications
  • 2.4.5. On-device AI in buildings & security IoT applications
  • 2.4.6. On-device AI in smart home applications
  • 2.4.7. On-device AI in other IoT applications

3. Company Profiles and Strategies

• 3.1. Ambarella
• 3.2. Ambiq
• 3.3. Advanced Micro Devices (AMD)
• 3.4. Apple
• 3.5. Axelera
• 3.6. Black Sesame Technologies
• 3.7. DEEPX
• 3.8. EdgeCortix
• 3.9. Edge Impulse
• 3.10. EmbedUR
• 3.11. Hailo
• 3.12. Horizon Robotics
• 3.13. Hugging Face
• 3.14. Intel
• 3.15. MediaTek
• 3.16. MemryX
• 3.17. Mobileye
• 3.18. Mythic
• 3.19. Nota AI
• 3.20. NVIDIA
• 3.21. NXP Semiconductors
• 3.22. Qualcomm
• 3.23. Renesas Electronics
• 3.24. Rockchip
• 3.25. SigmaStar
• 3.26. SiMa
• 3.27. STMicroelectronics
• 3.28. Synaptics
• 3.29. Syntiant
• 3.30. Tesla
• 3.31. Texas Instruments
• List of Acronyms and Abbreviations