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レポート概要
| 本調査レポートは世界のエッジデバイス向け人工知能市場について調査・分析し、世界のエッジデバイス向け人工知能市場概要、市場トレンド、主要企業別競争状況、タイプ別セグメント分析（ハードウェア、ソフトウェア）、用途別セグメント分析（自動車、消費者用＆法人用ロボティクス、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、防犯カメラ）、地域別市場規模、主要企業のプロファイルなどに関する情報を掲載しています。主要企業としては、Microsoft、Qualcomm、Intel、Google、Alibaba、NVIDIA、Arm、Horizon Robotics、Baidu、Synopsys、Cambricon、MediaTek、Mythic、NXPなどが含まれています。世界のエッジデバイス向け人工知能市場は、2022年にXXX米ドル、2029年にはXXX米ドルに達すると予測され、予測期間の年平均成長率はXXX％です。COVID-19とロシア・ウクライナ戦争の影響は、エッジデバイス向け人工知能市場規模を推定する際に考慮しました。本レポートは、エッジデバイス向け人工知能の世界市場を定量的・定性的な分析により包括的に提示し、読者がビジネス/成長戦略を策定し、市場競争状況を把握し、現在の市場における自社のポジションを分析し、エッジデバイス向け人工知能に関するビジネス上の意思決定に役立てることを目的としています。 ・エッジデバイス向け人工知能市場の概要 - エッジデバイス向け人工知能のタイプ別セグメント - 世界のエッジデバイス向け人工知能市場規模：タイプ別分析（ハードウェア、ソフトウェア） - エッジデバイス向け人工知能の用途別セグメント - 世界のエッジデバイス向け人工知能市場規模：用途別分析（自動車、消費者用＆法人用ロボティクス、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、防犯カメラ） - 世界のエッジデバイス向け人工知能市場規模予測（2018年-2029年） ・エッジデバイス向け人工知能市場の成長トレンド - エッジデバイス向け人工知能の地域別市場規模（2018年-2029年） - エッジデバイス向け人工知能市場ダイナミクス - エッジデバイス向け人工知能の業界動向 - エッジデバイス向け人工知能市場の成長ドライバ、課題、阻害要因 ・主要企業別競争状況 - 企業別市場シェア - 世界の主要企業、業界ランキング分析 - 市場への参入、M＆A動向 ・タイプ別セグメント：ハードウェア、ソフトウェア - 世界のエッジデバイス向け人工知能のタイプ別市場規模（2018年-2023年） - 世界のエッジデバイス向け人工知能のタイプ別市場規模（2024年-2029年） ・用途別セグメント：自動車、消費者用＆法人用ロボティクス、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、防犯カメラ - 世界のエッジデバイス向け人工知能の用途別市場規模（2018年-2023年） - 世界のエッジデバイス向け人工知能の用途別市場規模（2024年-2029年） ・エッジデバイス向け人工知能の地域別市場規模 - 北米のエッジデバイス向け人工知能市場規模（2018年-2029年） - アメリカのエッジデバイス向け人工知能市場規模（2018年-2029年） - ヨーロッパのエッジデバイス向け人工知能市場規模（2018年-2029年） - アジア太平洋のエッジデバイス向け人工知能市場規模（2018年-2029年） - 中国のエッジデバイス向け人工知能市場規模（2018年-2029年） - 日本のエッジデバイス向け人工知能市場規模（2018年-2029年） - 韓国のエッジデバイス向け人工知能市場規模（2018年-2029年） - インドのエッジデバイス向け人工知能市場規模（2018年-2029年） - オーストラリアのエッジデバイス向け人工知能市場規模（2018年-2029年） - 中南米のエッジデバイス向け人工知能市場規模（2018年-2029年） - 中東・アフリカのエッジデバイス向け人工知能市場規模（2018年-2029年） ・主要企業のプロファイル：企業情報、事業概要、売上、動向 Microsoft、Qualcomm、Intel、Google、Alibaba、NVIDIA、Arm、Horizon Robotics、Baidu、Synopsys、Cambricon、MediaTek、Mythic、NXP ・アナリストの観点/結論 ・調査方法とデータソース |
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.
Highlights
The global Artificial Intelligence for Edge Devices market was valued at US$ 4031.9 million in 2022 and is anticipated to reach US$ 16840 million by 2029, witnessing a CAGR of 26.9% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Global Artificial Intelligence for Edge Devices key players include Microsoft, Qualcomm, Intel, Google, Alibaba, etc. Global top five manufacturers hold a share over 50%.
North America is the largest market, with a share about 45%, followed by Europe and China, both have a share over 30 percent.
In terms of product, Hardware is the largest segment, with a share about 70%. And in terms of application, the largest application is Mobile Phones, followed by Smart Speakers.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Edge Devices, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence for Edge Devices.
The Artificial Intelligence for Edge Devices market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence for Edge Devices market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence for Edge Devices companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
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
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence for Edge Devices companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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: 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software
1.3 Market by Application
1.3.1 Global Artificial Intelligence for Edge Devices Market Growth by Application: 2018 VS 2022 VS 2029
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
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence for Edge Devices Market Perspective (2018-2029)
2.2 Artificial Intelligence for Edge Devices Growth Trends by Region
2.2.1 Global Artificial Intelligence for Edge Devices Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence for Edge Devices Historic Market Size by Region (2018-2023)
2.2.3 Artificial Intelligence for Edge Devices Forecasted Market Size by Region (2024-2029)
2.3 Artificial Intelligence for Edge Devices Market Dynamics
2.3.1 Artificial Intelligence for Edge Devices Industry Trends
2.3.2 Artificial Intelligence for Edge Devices Market Drivers
2.3.3 Artificial Intelligence for Edge Devices Market Challenges
2.3.4 Artificial Intelligence for Edge Devices Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence for Edge Devices Players by Revenue
3.1.1 Global Top Artificial Intelligence for Edge Devices Players by Revenue (2018-2023)
3.1.2 Global Artificial Intelligence for Edge Devices Revenue Market Share by Players (2018-2023)
3.2 Global Artificial Intelligence for Edge Devices Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence for Edge Devices Revenue
3.4 Global Artificial Intelligence for Edge Devices Market Concentration Ratio
3.4.1 Global Artificial Intelligence for Edge Devices Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence for Edge Devices Revenue in 2022
3.5 Artificial Intelligence for Edge Devices Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence for Edge Devices Product Solution and Service
3.7 Date of Enter into Artificial Intelligence for Edge Devices Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence for Edge Devices Breakdown Data by Type
4.1 Global Artificial Intelligence for Edge Devices Historic Market Size by Type (2018-2023)
4.2 Global Artificial Intelligence for Edge Devices Forecasted Market Size by Type (2024-2029)
5 Artificial Intelligence for Edge Devices Breakdown Data by Application
5.1 Global Artificial Intelligence for Edge Devices Historic Market Size by Application (2018-2023)
5.2 Global Artificial Intelligence for Edge Devices Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence for Edge Devices Market Size (2018-2029)
6.2 North America Artificial Intelligence for Edge Devices Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence for Edge Devices Market Size by Country (2018-2023)
6.4 North America Artificial Intelligence for Edge Devices Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence for Edge Devices Market Size (2018-2029)
7.2 Europe Artificial Intelligence for Edge Devices Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence for Edge Devices Market Size by Country (2018-2023)
7.4 Europe Artificial Intelligence for Edge Devices Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence for Edge Devices Market Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence for Edge Devices Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence for Edge Devices Market Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence for Edge Devices Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence for Edge Devices Market Size (2018-2029)
9.2 Latin America Artificial Intelligence for Edge Devices Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence for Edge Devices Market Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence for Edge Devices Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence for Edge Devices Market Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence for Edge Devices Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence for Edge Devices Market Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence for Edge Devices Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Artificial Intelligence for Edge Devices Introduction
11.1.4 Microsoft Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.1.5 Microsoft Recent Development
11.2 Qualcomm
11.2.1 Qualcomm Company Detail
11.2.2 Qualcomm Business Overview
11.2.3 Qualcomm Artificial Intelligence for Edge Devices Introduction
11.2.4 Qualcomm Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.2.5 Qualcomm Recent Development
11.3 Intel
11.3.1 Intel Company Detail
11.3.2 Intel Business Overview
11.3.3 Intel Artificial Intelligence for Edge Devices Introduction
11.3.4 Intel Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.3.5 Intel Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google Artificial Intelligence for Edge Devices Introduction
11.4.4 Google Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.4.5 Google Recent Development
11.5 Alibaba
11.5.1 Alibaba Company Detail
11.5.2 Alibaba Business Overview
11.5.3 Alibaba Artificial Intelligence for Edge Devices Introduction
11.5.4 Alibaba Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.5.5 Alibaba Recent Development
11.6 NVIDIA
11.6.1 NVIDIA Company Detail
11.6.2 NVIDIA Business Overview
11.6.3 NVIDIA Artificial Intelligence for Edge Devices Introduction
11.6.4 NVIDIA Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.6.5 NVIDIA Recent Development
11.7 Arm
11.7.1 Arm Company Detail
11.7.2 Arm Business Overview
11.7.3 Arm Artificial Intelligence for Edge Devices Introduction
11.7.4 Arm Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.7.5 Arm Recent Development
11.8 Horizon Robotics
11.8.1 Horizon Robotics Company Detail
11.8.2 Horizon Robotics Business Overview
11.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Introduction
11.8.4 Horizon Robotics Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.8.5 Horizon Robotics Recent Development
11.9 Baidu
11.9.1 Baidu Company Detail
11.9.2 Baidu Business Overview
11.9.3 Baidu Artificial Intelligence for Edge Devices Introduction
11.9.4 Baidu Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.9.5 Baidu Recent Development
11.10 Synopsys
11.10.1 Synopsys Company Detail
11.10.2 Synopsys Business Overview
11.10.3 Synopsys Artificial Intelligence for Edge Devices Introduction
11.10.4 Synopsys Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.10.5 Synopsys Recent Development
11.11 Cambricon
11.11.1 Cambricon Company Detail
11.11.2 Cambricon Business Overview
11.11.3 Cambricon Artificial Intelligence for Edge Devices Introduction
11.11.4 Cambricon Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.11.5 Cambricon Recent Development
11.12 MediaTek
11.12.1 MediaTek Company Detail
11.12.2 MediaTek Business Overview
11.12.3 MediaTek Artificial Intelligence for Edge Devices Introduction
11.12.4 MediaTek Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.12.5 MediaTek Recent Development
11.13 Mythic
11.13.1 Mythic Company Detail
11.13.2 Mythic Business Overview
11.13.3 Mythic Artificial Intelligence for Edge Devices Introduction
11.13.4 Mythic Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.13.5 Mythic Recent Development
11.14 NXP
11.14.1 NXP Company Detail
11.14.2 NXP Business Overview
11.14.3 NXP Artificial Intelligence for Edge Devices Introduction
11.14.4 NXP Revenue in Artificial Intelligence for Edge Devices Business (2018-2023)
11.14.5 NXP Recent Development
12 Analyst’s Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details