市場調查報告書

邊緣AI晶片組:技術展望、利用案例

Edge AI Chipsets: Technology Outlook and Use Cases

出版商 ABI Research 商品編碼 909245
出版日期 內容資訊 英文 29 Pages
商品交期: 最快1-2個工作天內
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邊緣AI晶片組:技術展望、利用案例 Edge AI Chipsets: Technology Outlook and Use Cases
出版日期: 2019年08月28日內容資訊: 英文 29 Pages
簡介

全球邊緣AI晶片組收益,2018年是106億美金。該市場今後預計以31%的年複合成長率擴大,至2024年擴大到710億美元。

本報告提供邊緣AI晶片組市場相關調查,AI及邊緣AI晶片組定義,主要的邊緣AI晶片組,市場趨勢,市場預測,及主要企業的簡介等系統性資訊。

第1章 摘要整理

第2章 人工智能 (AI)的定義

第3章 邊緣AI晶片組的需求

  • AI的邊緣轉移
  • 邊緣利用案例的多樣性和複雜性
  • 主要的AI利用案例的清單

第4章 邊緣AI晶片組的清單

第5章 主要邊緣AI晶片組供應商

  • IP核心授權供應商
  • 半導體供應商
  • 專屬式供應商

第6章 開放原始碼邊緣AI晶片組

  • 開放原始碼晶片組的最佳業務實踐

第7章 "VERY EDGE"的登場

第8章 市場預測

  • 市場規模
  • AI
  • 收益預測

第9章 主要建議、結論

刊載企業

  • AAEON
  • Achronix
  • ADLINK
  • Adnes Technology
  • AISpeech
  • AlphaIC
  • Ambarella
  • Amlogic
  • Apple
  • ARM
  • Baidu
  • Bitmain
  • Bragi
  • Brain Corp.
  • Broadcom
  • C-Sky
  • Cadence
  • Cambricon Technologies
  • CEVA
  • ChipIntelli
  • DJI
  • Ecovacs
  • Efinix
  • Esperanto Technolgies
  • FANUC
  • Google
  • Greenwave Technologies
  • Gyrfalcon Technology
  • Hailo
  • Hangzhou NationalChip
  • Horizon Robotics
  • Huawei
  • iFlytek
  • Imagination Technologies
  • InCore Semiconductors
  • Intel
  • Intuition Robotics
  • iRobot
  • Kneron
  • Lattice Semiconductor
  • LGE
  • MediaTek
  • Mobvoi
  • 日產
  • NVIDIA
  • NXP
  • OPPO
  • Qualcomm
  • Quicklogic
  • Renesas
  • RISC-V
  • Rockchip
  • Samsung
  • SiFive
  • Sonos
  • Synopsys
  • Syntiant
  • TCL
  • Tesla
  • Unisound
  • VeriSilicon
  • videantis
  • Vivo
  • Volvo
  • Wave Computing
  • Whirlpool
  • Xiaomi
  • Xilinx
  • Yamaha Motor Co, Ltd.
  • Zenrin
目錄
Product Code: AN-4951

As AI moves to the edge, edge AI chipsets becomes more important. Edge AI chipsets refers to computational chipsets focusing on AI workload that is typical deployed in edge environments, which include end devices, gateways and on-premise servers. This chipset is generally designed for AI inference workload, though in some cases, they can also support some level of AI training, particularly the training of deep learning models.

Overall, ABI Research estimates that the annual global edge AI chipset revenues for 2018 is US$10.6 billion. The market has experienced strong growth in the past and is expected to continue to grow to US$71 billion by 2024, with a CAGR of 31% between 2019 and 2024. Such strong growth is propelled by migration of AI inference workload to the edge, particularly in the smartphones, smart home, automotive, wearables, and robotics industry.

This report explores the dynamic landscape of edge AI landscape. By looking at chipset architecture, their respective computational requirements and use cases, the report provides a holistic view on the current state and future trends of edge AI chipset. Key players in the edge AI chipset industry have also been profiled with their key capabilities highlighted.

In addition, the report also looks into current development in open-source chipset. Under RISC-V, open-source chipset startups have started to develop AI-dedicated chipset with high parallelistic computing capabilities. Due to participation and contributions from across the industry, open-source AI chipsets will be more in line with market requirements and expectations, significantly reducing the cost of error and development costs in product maintenance and upgrade.

Table of Contents

1. EXECUTIVE SUMMARY

2. DEFINITION OF ARTIFICIAL INTELLIGENCE

3. THE NEED FOR EDGE AI CHIPSETS

  • 3.1. AI Migration to the Edge
  • 3.2. Diversity and Complexity of Edge Use Cases
  • 3.3. List of Key AI Use Cases

4. DEFINITIONS OF EDGE AI CHIPSETS

5. KEY EDGE AI CHIPSET VENDORS

  • 5.1. IP Core Licensing Vendors
  • 5.2. Semiconductor Vendors
  • 5.3. Captive Vendors

6. OPEN-SOURCE EDGE AI CHIPSETS

  • 6.1. Best Practice for Open-Source Chipsets

7. THE EMERGENCE OF THE "VERY EDGE"

8. MARKET FORECASTS

  • 8.1. Market Size
  • 8.2. Location of AI Inference and Training Workloads
  • 8.3. Revenue Forecasts

9. KEY RECOMMENDATIONS AND CONCLUSIONS

Companies Mentioned

  • AAEON
  • Achronix
  • ADLINK
  • Adnes Technology
  • AISpeech
  • AlphaIC
  • Ambarella
  • Amlogic
  • Apple
  • ARM
  • Baidu
  • Bitmain
  • Bragi
  • Brain Corp.
  • Broadcom
  • C-Sky
  • Cadence
  • Cambricon Technologies
  • CEVA
  • ChipIntelli
  • DJI
  • Ecovacs
  • Efinix
  • Esperanto Technolgies
  • FANUC
  • Google
  • Greenwave Technologies
  • Gyrfalcon Technology
  • Hailo
  • Hangzhou NationalChip
  • Horizon Robotics
  • Huawei
  • iFlytek
  • Imagination Technologies
  • InCore Semiconductors
  • Intel
  • Intuition Robotics
  • iRobot
  • Kneron
  • Lattice Semiconductor
  • LGE
  • MediaTek
  • Mobvoi
  • Nissan
  • NVIDIA
  • NXP
  • OPPO
  • Qualcomm
  • Quicklogic
  • Renesas
  • RISC-V
  • Rockchip
  • Samsung
  • SiFive
  • Sonos
  • Synopsys
  • Syntiant
  • TCL
  • Tesla
  • Unisound
  • VeriSilicon
  • videantis
  • Vivo
  • Volvo
  • Wave Computing
  • Whirlpool
  • Xiaomi
  • Xilinx
  • Yamaha Motor
  • Zenrin
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