世界のエッジデバイス用人工知能（AI）市場規模・現状・予測（2021年-2027年）

• 英文タイトル：Global Artificial Intelligence for Edge Devices Market Size, Status and Forecast 2021-2027

• レポートコード：QYR2104Z0454
• 出版社/出版日：QYResearch / 2021年4月
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レポート概要

QYResearch社発行の本調査資料では、エッジデバイス用人工知能（AI）のグローバル市場（2016年～2027年）について調べ、市場動向、主要企業の市場シェア、種類別市場規模（ハードウェア、ソフトウェア）、用途別市場規模（自動車、消費者・エンタープライズロボット、ドローン、ヘッドマウントディスプレイ、スマートスピーカー、セキュリティカメラ）、主要地域別市場規模（北米、アメリカ、ヨーロッパ、アジア、日本、中国、韓国、インド、東南アジア、中南米、中東、アフリカ等）、関連企業情報などを掲載しています。
・市場概要
・エッジデバイス用人工知能（AI）の市場動向
・企業の競争状況、市場シェア
・エッジデバイス用人工知能（AI）の種類別市場規模（ハードウェア、ソフトウェア）
・エッジデバイス用人工知能（AI）の用途別市場規模（自動車、消費者・エンタープライズロボット、ドローン、ヘッドマウントディスプレイ、スマートスピーカー、セキュリティカメラ）
・エッジデバイス用人工知能（AI）の北米市場規模2016-2027（アメリカ、カナダ）
・エッジデバイス用人工知能（AI）のヨーロッパ市場規模2016-2027（ドイツ、フランス、イギリス等）
・エッジデバイス用人工知能（AI）のアジア市場規模2016-2027（日本、中国、韓国、インド、東南アジア等）
・エッジデバイス用人工知能（AI）の中南米市場規模2016-2027（メキシコ、ブラジル）
・エッジデバイス用人工知能（AI）の中東・アフリカ市場規模2016-2027（トルコ、サウジアラビア等）
・主要企業情報（Microsoft、Qualcomm、Intel、Google、Alibaba、NVIDIA、Arm、Horizon Robotics、Baidu、Synopsys、Cambricon、MediaTek、Mythic、NXP）
・結論

Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. Artificial intelligence for edge devices means that AI software algorithms are processed locally on a hardware device. The algorithms are using data (sensor data or signals) that are created on the device. A device using Edge AI software does not need to be connected in order to work properly, it can process data and take decisions independently without a connection. In this report, artificial intelligence for edge devices contains software tools, platforms, artificial intelligence chip.
North America is the largest consumption countries of Artificial Intelligence for Edge Devices in the world in the past few years and it will keep leader position in the next few years. North America market took up about 41.62% the global market in 2019, while Europe was about 20.09%. Microsoft, Qualcomm, Intel, Google and Alibaba are the key suppliers in the global Artificial Intelligence for Edge Devices market. Top 5 took up about 53.27% % of the global market in 2019.

In 2020, the global Artificial Intelligence for Edge Devices market size will be US$ 2265.9 million and it is expected to reach US$ 9895.7 million by the end of 2026, with a CAGR of 27.9% during 2021-2026.
This report focuses on the global Artificial Intelligence for Edge Devices status, future forecast, growth opportunity, key market, and key players. The study objectives are to present the Artificial Intelligence for Edge Devices development in North America, Europe, Japan, China, Southeast Asia, India, etc.

Global Artificial Intelligence for Edge Devices Scope and Market Size
Artificial Intelligence for Edge Devices market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence for Edge Devices market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Hardware
Software

Segment by Application
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras

By Region
North America
Europe
Japan
China
Southeast Asia
India

By Company
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Google
Alibaba
MediaTek
Mythic
NXP

レポート目次

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence for Edge Devices Market Size Growth Rate by Type (2021-2027)
1.2.2 Hardware
1.2.3 Software
1.3 Market by Application
1.3.1 Global Artificial Intelligence for Edge Devices Market Share by Application (2021-2027)
1.3.2 Automotive
1.3.3 Consumer and Enterprise Robotics
1.3.4 Drones
1.3.5 Head-Mounted Displays
1.3.6 Smart Speakers
1.3.7 Security Cameras
1.4 Study Objectives
1.5 Years Considered

2 Executive Summary
2.1 Global Artificial Intelligence for Edge Devices Market Size
2.2 Artificial Intelligence for Edge Devices Market Size by Regions
2.2.1 Artificial Intelligence for Edge Devices Growth Rate by Regions (2021-2027)
2.2.2 Artificial Intelligence for Edge Devices Market Share by Regions (2021-2027)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Use Cases

3 Key Players
3.1 Artificial Intelligence for Edge Devices Revenue by Players (2020-2021)
3.2 Artificial Intelligence for Edge Devices Key Players Headquaters and Area Served
3.3 Key Players Artificial Intelligence for Edge Devices Product/Solution/Service
3.4 Date of Enter into Artificial Intelligence for Edge Devices Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown by Type and by Application
4.1 Global Artificial Intelligence for Edge Devices Market Size by Type (2021-2027)
4.2 Global Artificial Intelligence for Edge Devices Market Size by Application (2021-2027)

5 North America
5.1 North America Artificial Intelligence for Edge Devices Market Forecast (2021-2027)
5.2 Artificial Intelligence for Edge Devices Key Players in North America
5.3 North America Artificial Intelligence for Edge Devices Market Size by Type
5.4 North America Artificial Intelligence for Edge Devices Market Size by Application

6 Europe
6.1 Europe Artificial Intelligence for Edge Devices Market Forecast (2021-2027)
6.2 Artificial Intelligence for Edge Devices Key Players in Europe
6.3 Europe Artificial Intelligence for Edge Devices Market Size by Type
6.4 Europe Artificial Intelligence for Edge Devices Market Size by Application

7 Japan
7.1 Japan Artificial Intelligence for Edge Devices Market Forecast (2021-2027)
7.2 Artificial Intelligence for Edge Devices Key Players in Europe
7.3 Japan Artificial Intelligence for Edge Devices Market Size by Type
7.4 Japan Artificial Intelligence for Edge Devices Market Size by Application

8 Rest of World
8.1 China
8.1.1 China Artificial Intelligence for Edge Devices Market Analysis
8.1.2 Key Players in China
8.2 Southeast Asia
8.2.1 Southeast Asia Artificial Intelligence for Edge Devices Market Analysis
8.2.2 Key Players in Southeast Asia
8.3 India
8.3.1 India Artificial Intelligence for Edge Devices Market Analysis
8.3.2 Key Players in India

9 International Player Profiles
9.1 Microsoft
9.1.1 Microsoft Company Details
9.1.2 Microsoft Description and Business Overview
9.1.3 Microsoft Artificial Intelligence for Edge Devices Introduction
9.1.4 Microsoft Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.1.5 Microsoft Recent Development
9.2 Qualcomm
9.2.1 Qualcomm Company Details
9.2.2 Qualcomm Description and Business Overview
9.2.3 Qualcomm Artificial Intelligence for Edge Devices Introduction
9.2.4 Qualcomm Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.2.5 Qualcomm Recent Development
9.3 Intel
9.3.1 Intel Company Details
9.3.2 Intel Description and Business Overview
9.3.3 Intel Artificial Intelligence for Edge Devices Introduction
9.3.4 Intel Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.3.5 Intel Recent Development
9.4 Google
9.4.1 Google Company Details
9.4.2 Google Description and Business Overview
9.4.3 Google Artificial Intelligence for Edge Devices Introduction
9.4.4 Google Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.4.5 Google Recent Development
9.5 Alibaba
9.5.1 Alibaba Company Details
9.5.2 Alibaba Description and Business Overview
9.5.3 Alibaba Artificial Intelligence for Edge Devices Introduction
9.5.4 Alibaba Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.5.5 Alibaba Recent Development
9.6 NVIDIA
9.6.1 NVIDIA Company Details
9.6.2 NVIDIA Description and Business Overview
9.6.3 NVIDIA Artificial Intelligence for Edge Devices Introduction
9.6.4 NVIDIA Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.6.5 NVIDIA Recent Development
9.7 Arm
9.7.1 Arm Company Details
9.7.2 Arm Description and Business Overview
9.7.3 Arm Artificial Intelligence for Edge Devices Introduction
9.7.4 Arm Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.7.5 Arm Recent Development
9.8 Horizon Robotics
9.8.1 Horizon Robotics Company Details
9.8.2 Horizon Robotics Description and Business Overview
9.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Introduction
9.8.4 Horizon Robotics Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.8.5 Horizon Robotics Recent Development
9.9 Baidu
9.9.1 Baidu Company Details
9.9.2 Baidu Description and Business Overview
9.9.3 Baidu Artificial Intelligence for Edge Devices Introduction
9.9.4 Baidu Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.9.5 Baidu Recent Development
9.10 Synopsys
9.10.1 Synopsys Company Details
9.10.2 Synopsys Description and Business Overview
9.10.3 Synopsys Artificial Intelligence for Edge Devices Introduction
9.10.4 Synopsys Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.10.5 Synopsys Recent Development
9.11 Cambricon
9.11.1 Cambricon Company Details
9.11.2 Cambricon Description and Business Overview
9.11.3 Cambricon Artificial Intelligence for Edge Devices Introduction
9.11.4 Cambricon Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.11.5 Cambricon Recent Development
9.12 MediaTek
9.12.1 MediaTek Company Details
9.12.2 MediaTek Description and Business Overview
9.12.3 MediaTek Artificial Intelligence for Edge Devices Introduction
9.12.4 MediaTek Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.12.5 MediaTek Recent Development
9.13 Mythic
9.13.1 Mythic Company Details
9.13.2 Mythic Description and Business Overview
9.13.3 Mythic Artificial Intelligence for Edge Devices Introduction
9.13.4 Mythic Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.13.5 Mythic Recent Development
9.14 NXP
9.14.1 NXP Company Details
9.14.2 NXP Description and Business Overview
9.14.3 NXP Artificial Intelligence for Edge Devices Introduction
9.14.4 NXP Revenue in Artificial Intelligence for Edge Devices Business (2020-2021)
9.14.5 NXP Recent Development

10 Market Dynamics
10.1 Industry Trends
10.2 Market Drives
10.3 Market Challenges
10.4 Market Restraints

11 Key Findings in This Report
12 Appendix
12.1 Research Methodology
12.1.1 Methodology/Research Approach
12.1.2 Data Source
12.2 Disclaimer
12.3 Author Details

List of Tables
Table 1. Global Artificial Intelligence for Edge Devices Market Size Growth Rate by Type (2021-2027) (US$ Million)
Table 2. Key Players of Hardware
Table 3. Key Players of Software
Table 4. Global Artificial Intelligence for Edge Devices Market Size Growth by Application (2021-2027) (US$ Million)
Table 5. Global Artificial Intelligence for Edge Devices Market Size by Regions (2021-2027) (US$ Million)
Table 6. Global Artificial Intelligence for Edge Devices Market Share by Regions (2021-2027)
Table 7. Market Top Trends
Table 8. Market Use Cases
Table 9. Global Artificial Intelligence for Edge Devices Revenue by Players (2020-2021) (US$ Million)
Table 10. Global Artificial Intelligence for Edge Devices Market Share by Players (2020-2021)
Table 11. Key Players Headquarters and Area Served
Table 12. Key Players Artificial Intelligence for Edge Devices Product Solution and Service
Table 13. Date of Enter into Artificial Intelligence for Edge Devices Market
Table 14. Mergers & Acquisitions, Expansion Plans
Table 15. Global Artificial Intelligence for Edge Devices Market Size by Type (2021-2027) (US$ Million)
Table 16. Global Artificial Intelligence for Edge Devices Market Size Share by Type (2021-2027)
Table 17. Global Artificial Intelligence for Edge Devices Market Size by Application (2021-2027) (US$ Million)
Table 18. Global Artificial Intelligence for Edge Devices Market Size Share by Application (2021-2027)
Table 19. North America Key Players Artificial Intelligence for Edge Devices Revenue (2020-2021) (US$ Million)
Table 20. North America Key Players Artificial Intelligence for Edge Devices Market Share (2020-2021)
Table 21. North America Artificial Intelligence for Edge Devices Market Size by Type (2021-2027) (US$ Million)
Table 22. North America Artificial Intelligence for Edge Devices Market Share by Type (2021-2027)
Table 23. North America Artificial Intelligence for Edge Devices Market Size by Application (2021-2027) (US$ Million)
Table 24. North America Artificial Intelligence for Edge Devices Market Share by Application (2021-2027)
Table 25. Europe Key Players Artificial Intelligence for Edge Devices Revenue (2020-2021) (US$ Million)
Table 26. Europe Key Players Artificial Intelligence for Edge Devices Market Share (2020-2021)
Table 27. Europe Artificial Intelligence for Edge Devices Market Size by Type (2021-2027) (US$ Million)
Table 28. Europe Artificial Intelligence for Edge Devices Market Share by Type (2021-2027)
Table 29. Europe Artificial Intelligence for Edge Devices Market Size by Application (2021-2027) (US$ Million)
Table 30. Europe Artificial Intelligence for Edge Devices Market Share by Application (2021-2027)
Table 31. Japan Key Players Artificial Intelligence for Edge Devices Revenue (2020-2021) (US$ Million)
Table 32. Japan Key Players Artificial Intelligence for Edge Devices Market Share (2020-2021)
Table 33. Japan Artificial Intelligence for Edge Devices Market Size by Type (2021-2027) (US$ Million)
Table 34. Japan Artificial Intelligence for Edge Devices Market Share by Type (2021-2027)
Table 35. Japan Artificial Intelligence for Edge Devices Market Size by Application (2021-2027) (US$ Million)
Table 36. Japan Artificial Intelligence for Edge Devices Market Share by Application (2021-2027)
Table 37. Key Players in China
Table 38. Key Players in Southeast Asia
Table 39. Key Players in India
Table 40. Microsoft Company Details
Table 41. Microsoft Description and Business Overview
Table 42. Microsoft Artificial Intelligence for Edge Devices Product
Table 43. Microsoft Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 44. Microsoft Recent Development
Table 45. Qualcomm Company Details
Table 46. Qualcomm Description and Business Overview
Table 47. Qualcomm Artificial Intelligence for Edge Devices Product
Table 48. Qualcomm Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 49. Qualcomm Recent Development
Table 50. Intel Company Details
Table 51. Intel Description and Business Overview
Table 52. Intel Artificial Intelligence for Edge Devices Product
Table 53. Intel Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 54. Intel Recent Development
Table 55. Google Company Details
Table 56. Google Description and Business Overview
Table 57. Google Artificial Intelligence for Edge Devices Product
Table 58. Google Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 59. Google Recent Development
Table 60. Alibaba Company Details
Table 61. Alibaba Description and Business Overview
Table 62. Alibaba Artificial Intelligence for Edge Devices Product
Table 63. Alibaba Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 64. Alibaba Recent Development
Table 65. NVIDIA Company Details
Table 66. NVIDIA Description and Business Overview
Table 67. NVIDIA Artificial Intelligence for Edge Devices Product
Table 68. NVIDIA Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 69. NVIDIA Recent Development
Table 70. Arm Company Details
Table 71. Arm Description and Business Overview
Table 72. Arm Artificial Intelligence for Edge Devices Product
Table 73. Arm Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 74. Arm Recent Development
Table 75. Horizon Robotics Company Details
Table 76. Horizon Robotics Description and Business Overview
Table 77. Horizon Robotics Artificial Intelligence for Edge Devices Product
Table 78. Horizon Robotics Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 79. Horizon Robotics Recent Development
Table 80. Baidu Company Details
Table 81. Baidu Description and Business Overview
Table 82. Baidu Artificial Intelligence for Edge Devices Product
Table 83. Baidu Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 84. Baidu Recent Development
Table 85. Synopsys Company Details
Table 86. Synopsys Description and Business Overview
Table 87. Synopsys Artificial Intelligence for Edge Devices Product
Table 88. Synopsys Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 89. Synopsys Recent Development
Table 90. Cambricon Company Details
Table 91. Cambricon Description and Business Overview
Table 92. Cambricon Artificial Intelligence for Edge Devices Product
Table 93. Cambricon Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 94. Cambricon Recent Development
Table 95. MediaTek Company Details
Table 96. MediaTek Description and Business Overview
Table 97. MediaTek Artificial Intelligence for Edge Devices Product
Table 98. MediaTek Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 99. MediaTek Recent Development
Table 100. Mythic Company Details
Table 101. Mythic Description and Business Overview
Table 102. Mythic Artificial Intelligence for Edge Devices Product
Table 103. Mythic Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 104. Mythic Recent Development
Table 105. NXP Company Details
Table 106. NXP Description and Business Overview
Table 107. NXP Artificial Intelligence for Edge Devices Product
Table 108. NXP Revenue in Artificial Intelligence for Edge Devices Business 2020 and 2021
Table 109. NXP Recent Development
Table 110. Artificial Intelligence for Edge Devices Market Trends
Table 111. Artificial Intelligence for Edge Devices Market Drivers
Table 112. Artificial Intelligence for Edge Devices Market Challenges
Table 113. Artificial Intelligence for Edge Devices Market Restraints
Table 114. Research Programs/Design for This Report
Table 115. Key Data Information from Secondary Sources
Table 116. Key Data Information from Primary Sources
List of Figures
Figure 1. Global Artificial Intelligence for Edge Devices Market Share by Type in 2021 & 2027
Figure 2. Hardware Features
Figure 3. Software Features
Figure 4. Global Artificial Intelligence for Edge Devices Market Share by Application in 2021 & 2027
Figure 5. Automotive Case Studies
Figure 6. Consumer and Enterprise Robotics Case Studies
Figure 7. Drones Case Studies
Figure 8. Head-Mounted Displays Case Studies
Figure 9. Smart Speakers Case Studies
Figure 10. Security Cameras Case Studies
Figure 11. Artificial Intelligence for Edge Devices Report Years Considered
Figure 12. Global Artificial Intelligence for Edge Devices Market Size and Growth Rate (2020-2027) (US$ Million)
Figure 13. Global Artificial Intelligence for Edge Devices Market Share by Regions (2020-2027)
Figure 14. Global Artificial Intelligence for Edge Devices Market Share by Players in 2021
Figure 15. Global Artificial Intelligence for Edge Devices Market Size Market Share by Type (2021-2027)
Figure 16. Global Artificial Intelligence for Edge Devices Market Size Market Share by Application (2021-2027)
Figure 17. Global Artificial Intelligence for Edge Devices Revenue Market Share by Application in 2021
Figure 18. North America Artificial Intelligence for Edge Devices Market Size 2021-2027 (US$ Million)
Figure 19. Europe Artificial Intelligence for Edge Devices Market Size 2021-2027 (US$ Million)
Figure 20. Japan Artificial Intelligence for Edge Devices Market Size 2021-2027 (US$ Million)
Figure 21. Artificial Intelligence for Edge Devices Market Size in China (2021-2027) (US$ Million)
Figure 22. Artificial Intelligence for Edge Devices Market Size in Southeast Asia (2021-2027) (US$ Million)
Figure 23. Artificial Intelligence for Edge Devices Market Size in India (2021-2027) (US$ Million)
Figure 24. Bottom-up and Top-down Approaches for This Report
Figure 25. Data Triangulation
Figure 26. Key Executives Interviewed

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世界の糖尿病管理における人工知能（AI）市場規模・現状・予測（2021年-2027年） Artificial Intelligence in diabetes management is an automotion system which employs a computer system that gathers data, understands, reasons, and learns how the information effects outcomes over time.That the system ingests massive amounts of information—both structured and unstructured data—such …
世界の糖尿病管理における人工知能（AI）市場規模・現状・予測（2021年-2027年） Artificial Intelligence in diabetes management is an automotion system which employs a computer system that gathers data, understands, reasons, and learns how the information effects outcomes over time.That the system ingests massive amounts of information—both structured and unstructured data—such …
世界のビデオ監視用人工知能（AI）市場規模・現状・予測（2021年-2027年） Market Analysis and Insights: Global Artificial Intelligence for Video Surveillance Market The global Artificial Intelligence for Video Surveillance market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027. With industry-standard accura…
世界のビデオ監視用人工知能（AI）市場規模・現状・予測（2021年-2027年） Market Analysis and Insights: Global Artificial Intelligence for Video Surveillance Market The global Artificial Intelligence for Video Surveillance market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027. With industry-standard accura…
世界の食品・飲料における人工知能（AI）市場規模・現状・予測（2021年-2027年） AI technologies have been developed over the years, to assist humans in deliberating, deducing, analyzing, and inventing new technologies that can help end-users. AI embodies multiple disciplines that allow computers to perform functions associated with human intelligence such as reasoning, problem-…