エッジAIソフトウェアの世界市場(~2030年):データソース別(ビデオ・画像認識、音声認識、生体認証データ、センサーデータ、モバイルデータ)、コンポーネント別(ソリューション、サービス)、用途別(自動運転車、アクセス管理、ビデオ監視、遠隔監視・予知保全、遠隔測定、エネルギー管理)、産業別(政府・公共、製造、自動車、エネルギー・ユーティリティ、通信、医療)

【英語タイトル】Edge AI Software Market Research Report: By Data Source (Video and Image Recognition, Speech Recognition, Biometric Data, Sensor Data, Mobile Data), Component (Solution, Service), Application (Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring and Predictive Maintenance, Telemetry, Energy Management), Vertical (Government and Public, Manufacturing, Automotive, Energy and Utility, Telecom, Healthcare) - Global Industry Analysis and Growth Forecast to 2030

P&S Market Researchが出版した調査資料(PS21NO044)・商品コード:PS21NO044
・発行会社(調査会社):P&S Market Research
・発行日:2021年11月
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・レポート言語:英語
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❖ レポートの概要 ❖

本市場調査資料では、エッジAIソフトウェアの世界市場を広く調査・分析し、調査背景、調査手法、エグゼクティブサマリー、産業専門家の意見/KOL、市場指標、データソース別(ビデオ・画像認識、音声認識、生体認証データ、センサーデータ、モバイルデータ)分析、コンポーネント別(ソリューション、サービス)分析、用途別(自動運転車、アクセス管理、ビデオ監視、遠隔監視・予知保全、遠隔測定)分析、産業別(政府・公共、製造、自動車、エネルギー・ユーティリティ、通信)分析、産業動向、市場規模・予測、地域別分析、競争状況、企業情報など、以下の構成でまとめております。
・調査背景
・調査手法
・エグゼクティブサマリー
・産業専門家の意見/KOL
・市場指標
・エッジAIソフトウェアの世界市場規模:データソース別(ビデオ・画像認識、音声認識、生体認証データ、センサーデータ、モバイルデータ)
・エッジAIソフトウェアの世界市場規模:コンポーネント別(ソリューション、サービス)
・エッジAIソフトウェアの世界市場規模:用途別(自動運転車、アクセス管理、ビデオ監視、遠隔監視・予知保全、遠隔測定)
・エッジAIソフトウェアの世界市場規模:産業別(政府・公共、製造、自動車、エネルギー・ユーティリティ、通信)
・産業動向
・市場規模・予測
・エッジAIソフトウェアの世界市場規模:地域別
・競争状況
・企業情報

Market Overview
The global edge artificial intelligence (AI) software market value was ~$1 billion in 2020, and during the forecast period (2021–2030), it is expected to grow at a substantial rate. The increasing usage of cloud-based applications in many sectors, fast improvements in the internet of things (IoT) technology, and developments in a number of smart applications are significant driving elements for the edge AI software market.

The implementation of lockdown due to COVID-19 had a positive impact on the global market for edge AI software. The usage of this software has surged in the healthcare sector as firms have begun to understand its capability in battling COVID-19. For instance, it aids in decision making by collecting data from various sectors. Organizations worldwide have been utilizing computerized infrastructure to proceed with their typical business exercises. The medical care and training verticals are embracing digitalization at an exceptional rate.

Video & Image Recognition Category To Hold Largest Share in Forecast Period
The video & image recognition category within the data source segment attained the largest share in the market in 2020, and in the coming years, it is predicted to continue to hold the major market share. This can be primarily ascribed to the increasing demand for edge AI software for video surveillance applications because it is designed to minimize risks and maximize crime prevention.

Video Surveillance Application Category To Hold Largest Market Size In Coming Years
The major application area in the edge AI software market is video surveillance, and it is expected to have the largest market size during the forecast period. The increasing requirement for security and observing frameworks, which are software-based and used by developers, pushing the interest in edge AI software for video surveillance.

Additionally, the autonomous vehicles category is projected to observe substantial progress during the forecast period. This can be mostly credited to the growing interest and investments in autonomous vehicles by automakers. The increasing development of autonomous vehicles, including level 3 and level 4 variants, has increased the opportunity for the adoption of edge AI software.

North America Continues To Be Largest Market
North America was the largest market for edge AI software in 2020, and it would show significant growth in the forecast period. This can be ascribed to the major focus on technical research and development in the region, which had led to the earlier adoption of new technologies, including AI, here than in other regions around the world.

Developments in IoT Applications Leading To Increasing Demand for Edge AI Software
Developments in IoT applications can be seen as a key factor increasing the interest in edge AI software, as edge computing addresses the challenges of IoT. IoT applications deal with devices that interact with each other using the internet; AI allows the devices to learn from the data gathered. IoT empowers the trading of information between different parts of a machine or production line over a wireless network. Many market players are putting resources into the improvement of IoT-based gadgets and applications to gain a significant position in the market. In 2019, AI-based food traffic monitoring software was developed, which allows store owners to collect data about the client traffic patterns in the shop.

Increasing Demand for Intelligent Applications Drives Market
The rapid developments in AI software have resulted in an increase in the demand for intelligent applications. These applications require a high computing power for gathering and processing information continuously, to give effective and significant outcomes. The rising need for the efficiency of ongoing data processing is propelling the interest in AI software. Therefore, AI-enabled applications are being developed by many market players for various sectors, which would help the edge AI software market grow.

Increasing Enterprise Workload on Cloud another Key Market Driver
As enterprises are rapidly shifting to cloud computing and AI is gaining interest, the demand for edge AI software is predicted to soar. AI applications deployed on the cloud often offer slow responses, and they also have latency issues. Edge AI software offers a solution to this issue by placing the computer resources at the edge of the network, which helps in enabling applications to function with low latency and high bandwidth. This would be one of the major reasons for the growth of the edge AI software market in the coming years.

❖ レポートの目次 ❖

Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Analysis Period
1.4 Market Data Reporting Unit
1.4.1 Value
1.5 Market Size Breakdown by Segment
1.5.1 Market Segmentation by Data Source
1.5.2 Market Segmentation by Component
1.5.3 Market Segmentation by Application
1.5.4 Market Segmentation by Vertical
1.5.5 Market Segmentation by Region
1.5.6 Market Segment Analysis of Countries
1.6 Key Stakeholders
Chapter 2. Research Methodology
2.1 Secondary Research
2.1.1 Paid
2.1.2 Unpaid
2.1.3 P&S Intelligence Database
2.2 Primary Research
2.2.1 Breakdown of Primary Research, by Region
2.2.2 Breakdown of Primary Research, by Industry Participant
2.2.3 Breakdown of Primary Research, by Designation
2.2.4 Breakdown of Primary Research, by Company Type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Currency Conversion Rates
2.6 Notes and Caveats
Chapter 3. Executive Summary
Chapter 4. Voice of Industry Experts/KOLs
Chapter 5. Market Indicators
Chapter 6. Definition of Market Segments
6.1 By Data Source
6.1.1 Video and Image Recognition
6.1.2 Speech Recognition
6.1.3 Biometric Data
6.1.4 Sensor Data
6.1.5 Mobile Data
6.2 By Component
6.2.1 Solution
6.2.1.1 Software tools
6.2.1.2 Platforms
6.2.2 Service
6.2.2.1 Traning and consulting
6.2.2.2 System integration and testing
6.2.2.3 Support and maintainance
6.3 By Applications
6.3.1 Autonomous Vehicles
6.3.2 Access Management
6.3.3 Video Surveillance
6.3.4 Remote Monitoring and Predictive Maintenance
6.3.5 Telemetry
6.3.6 Energy Management
6.3.7 Others
6.4 By Vertical
6.4.1 Government and Public
6.4.2 Manufacturing
6.4.3 Automotive
6.4.4 Energy and Utility
6.4.5 Telecom
6.4.6 Healthcare
6.4.7 Others
Chapter 7. Industry Outlook
7.1 Market Dynamics
7.1.1 Trends
7.1.2 Drivers
7.1.3 Impact Analysis of Drivers on Market Forecast
7.1.4 Restraints
7.1.5 Impact Analysis of Restraints on Market Forecast
7.2 Impact of COVID-19
7.3 Value Chain Analysis
7.4 Porter’s Five Forces Analysis
7.4.1 Bargaining Power of Buyers
7.4.2 Bargaining Power of Suppliers
7.4.3 Intensity of Rivalry
7.4.4 Threat of New Entrants
7.4.5 Threat of Substitute
Chapter 8. Global Market Size and Forecast
8.1 Overview
8.2 Market Revenue, by Data Source (2015–2030)
8.3 Market Revenue, by Component (2015–2030)
8.3.1 Solution Market Revenue, by Type (2015–2030)
8.3.2 Service Market Revenue, by Type (2015–2030)
8.4 Market Revenue, by Application (2015–2030)
8.5 Market Revenue, by Vertical (2015–2030)
8.6 Market Revenue, by Region (2015–2030)
Chapter 9. North America Market Size and Forecast
9.1 Overview
9.2 Market Revenue, by Data Source (2015–2030)
9.3 Market Revenue, by Component (2015–2030)
9.3.1 Solution Market Revenue, by Type (2015–2030)
9.3.2 Service Market Revenue, by Type (2015–2030)
9.4 Market Revenue, by Application (2015–2030)
9.5 Market Revenue, by Vertical (2015–2030)
9.6 Market Revenue, by Country (2015–2030)
Chapter 10. Europe Market Size and Forecast
10.1 Overview
10.2 Market Revenue, by Data Source (2015–2030)
10.3 Market Revenue, by Component (2015–2030)
10.3.1 Solution Market Revenue, by Type (2015–2030)
10.3.2 Service Market Revenue, by Type (2015–2030)
10.4 Market Revenue, by Application (2015–2030)
10.5 Market Revenue, by Vertical (2015–2030)
10.6 Market Revenue, by Country (2015–2030)
Chapter 11. APAC Market Size and Forecast
11.1 Overview
11.2 Market Revenue, by Data Source (2015–2030)
11.3 Market Revenue, by Component (2015–2030)
11.3.1 Solution Market Revenue, by Type (2015–2030)
11.3.2 Service Market Revenue, by Type (2015–2030)
11.4 Market Revenue, by Application (2015–2030)
11.5 Market Revenue, by Vertical (2015–2030)
11.6 Market Revenue, by Country (2015–2030)
Chapter 12. LATAM Market Size and Forecast
12.1 Overview
12.2 Market Revenue, by Data Source (2015–2030)
12.3 Market Revenue, by Component (2015–2030)
12.3.1 Solution Market Revenue, by Type (2015–2030)
12.3.2 Service Market Revenue, by Type (2015–2030)
12.4 Market Revenue, by Application (2015–2030)
12.5 Market Revenue, by Vertical (2015–2030)
12.6 Market Revenue, by Country (2015–2030)
Chapter 13. MEA Market Size and Forecast
13.1 Overview
13.2 Market Revenue, by Data Source (2015–2030)
13.3 Market Revenue, by Component (2015–2030)
13.3.1 Solution Market Revenue, by Type (2015–2030)
13.3.2 Service Market Revenue, by Type (2015–2030)
13.4 Market Revenue, by Application (2015–2030)
13.5 Market Revenue, by Vertical (2015–2030)
13.6 Market Revenue, by Country (2015–2030)
Chapter 14. U.S. Market Size and Forecast
14.1 Overview
14.2 Market Revenue, by Data Source (2015–2030)
14.3 Market Revenue, by Component (2015–2030)
14.4 Market Revenue, by Application (2015–2030)
14.5 Market Revenue, by Vertical (2015–2030)
Chapter 15. Canada Market Size and Forecast
15.1 Overview
15.2 Market Revenue, by Data Source (2015–2030)
15.3 Market Revenue, by Component (2015–2030)
15.4 Market Revenue, by Application (2015–2030)
15.5 Market Revenue, by Vertical (2015–2030)
Chapter 16. Germany Market Size and Forecast
16.1 Overview
16.2 Market Revenue, by Data Source (2015–2030)
16.3 Market Revenue, by Component (2015–2030)
16.4 Market Revenue, by Application (2015–2030)
16.5 Market Revenue, by Vertical (2015–2030)
Chapter 17. France Market Size and Forecast
17.1 Overview
17.2 Market Revenue, by Data Source (2015–2030)
17.3 Market Revenue, by Component (2015–2030)
17.4 Market Revenue, by Application (2015–2030)
17.5 Market Revenue, by Vertical (2015–2030)
Chapter 18. U.K. Market Size and Forecast
18.1 Overview
18.2 Market Revenue, by Data Source (2015–2030)
18.3 Market Revenue, by Component (2015–2030)
18.4 Market Revenue, by Application (2015–2030)
18.5 Market Revenue, by Vertical (2015–2030)
Chapter 19. Italy Market Size and Forecast
19.1 Overview
19.2 Market Revenue, by Data Source (2015–2030)
19.3 Market Revenue, by Component (2015–2030)
19.4 Market Revenue, by Application (2015–2030)
19.5 Market Revenue, by Vertical (2015–2030)
Chapter 20. Spain Market Size and Forecast
20.1 Overview
20.2 Market Revenue, by Data Source (2015–2030)
20.3 Market Revenue, by Component (2015–2030)
20.4 Market Revenue, by Application (2015–2030)
20.5 Market Revenue, by Vertical (2015–2030)
Chapter 21. China Market Size and Forecast
21.1 Overview
21.2 Market Revenue, by Data Source (2015–2030)
21.3 Market Revenue, by Component (2015–2030)
21.4 Market Revenue, by Application (2015–2030)
21.5 Market Revenue, by Vertical (2015–2030)
Chapter 22. Japan Market Size and Forecast
22.1 Overview
22.2 Market Revenue, by Data Source (2015–2030)
22.3 Market Revenue, by Component (2015–2030)
22.4 Market Revenue, by Application (2015–2030)
22.5 Market Revenue, by Vertical (2015–2030)
Chapter 23. India Market Size and Forecast
23.1 Overview
23.2 Market Revenue, by Data Source (2015–2030)
23.3 Market Revenue, by Component (2015–2030)
23.4 Market Revenue, by Application (2015–2030)
23.5 Market Revenue, by Vertical (2015–2030)
Chapter 24. Australia Market Size and Forecast
24.1 Overview
24.2 Market Revenue, by Data Source (2015–2030)
24.3 Market Revenue, by Component (2015–2030)
24.4 Market Revenue, by Application (2015–2030)
24.5 Market Revenue, by Vertical (2015–2030)
Chapter 25. South Korea Market Size and Forecast
25.1 Overview
25.2 Market Revenue, by Data Source (2015–2030)
25.3 Market Revenue, by Component (2015–2030)
25.4 Market Revenue, by Application (2015–2030)
25.5 Market Revenue, by Vertical (2015–2030)
Chapter 26. Brazil Market Size and Forecast
26.1 Overview
26.2 Market Revenue, by Data Source (2015–2030)
26.3 Market Revenue, by Component (2015–2030)
26.4 Market Revenue, by Application (2015–2030)
26.5 Market Revenue, by Vertical (2015–2030)
Chapter 27. Mexico Market Size and Forecast
27.1 Overview
27.2 Market Revenue, by Data Source (2015–2030)
27.3 Market Revenue, by Component (2015–2030)
27.4 Market Revenue, by Application (2015–2030)
27.5 Market Revenue, by Vertical (2015–2030)
Chapter 28. Saudi Arabia Market Size and Forecast
28.1 Overview
28.2 Market Revenue, by Data Source (2015–2030)
28.3 Market Revenue, by Component (2015–2030)
28.4 Market Revenue, by Application (2015–2030)
28.5 Market Revenue, by Vertical (2015–2030)
Chapter 29. South Africa Market Size and Forecast
29.1 Overview
29.2 Market Revenue, by Data Source (2015–2030)
29.3 Market Revenue, by Component (2015–2030)
29.4 Market Revenue, by Application (2015–2030)
29.5 Market Revenue, by Vertical (2015–2030)
Chapter 30. Competitive Landscape
30.1 List of Market Players and Their Offerings
30.2 Global Market Share Analysis of Key Players
30.3 Competitive Analysis of Key Players
30.4 Product Comparison of Key Players
30.5 Recent Strategic Developments of Key Players
Chapter 31. Company Profiles
31.1 International Business Machines Corporation
31.1.1 Business Overview
31.1.2 Product and Service Offerings
31.1.3 Key Financial Summary
31.2 Synaptic Incorporated
31.2.1 Business Overview
31.2.2 Product and Service Offerings
31.2.3 Key Financial Summary
31.3 Alphabet Inc.
31.3.1 Business Overview
31.3.2 Product and Service Offerings
31.3.3 Key Financial Summary
31.4 Microsoft Corporation
31.4.1 Business Overview
31.4.2 Product and Service Offerings
31.4.3 Key Financial Summary
31.5 Nutanix Inc.
31.5.1 Business Overview
31.5.2 Product and Service Offerings
31.5.3 Key Financial Summary
31.6 Amazon Web Services Inc.
31.6.1 Business Overview
31.6.2 Product and Service Offerings
31.6.3 Key Financial Summary
31.7 Company 7
31.7.1 Business Overview
31.7.2 Product and Service Offerings
31.7.3 Key Financial Summary
31.8 Company 8
31.8.1 Business Overview
31.8.2 Product and Service Offerings
31.8.3 Key Financial Summary
31.9 Company 9
31.9.1 Business Overview
31.9.2 Product and Service Offerings
31.9.3 Key Financial Summary
31.10 Company 10
31.10.1 Business Overview
31.10.2 Product and Service Offerings
31.10.3 Key Financial Summary
Chapter 32. Appendix
32.1 Abbreviations
32.2 Sources and References
32.3 Related Reports



★調査レポート[エッジAIソフトウェアの世界市場(~2030年):データソース別(ビデオ・画像認識、音声認識、生体認証データ、センサーデータ、モバイルデータ)、コンポーネント別(ソリューション、サービス)、用途別(自動運転車、アクセス管理、ビデオ監視、遠隔監視・予知保全、遠隔測定、エネルギー管理)、産業別(政府・公共、製造、自動車、エネルギー・ユーティリティ、通信、医療)] (コード:PS21NO044)販売に関する免責事項を必ずご確認ください。
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