출판：Astute Analytica 출판년월：2022년07월
세계 Edge AI 소프트웨어 시장 : 구성 요소(소프트웨어, 서비스), 데이터 소스(생체 인식 데이터, 모바일 데이터 등), 용도(액세스 제어, 기타), 최종 사용자(첨단 산업 등), 평가 및 예측 2017-2027년
Global Edge AI Software Market, By Component (Software, Services), By Data Source (Biometric Data, Mobile Data, Others), By Application (Access Control, Others), By End Users (Advanced Industries, Others), Estimation & Forecast, 2017 – 2027
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| 가격 | |
| 싱글 사용자 라이센스 | USD 4,250 |
| 멀티 사용자 라이센스(5명) | USD 5,250 |
| 기업 라이센스 | USD 6,400 |
| 구성 | 영문조사보고서 |
Market Introduction
The global edge AI software market held a market value of USD 1,459.8 Million in 2021 and is projected to reach USD 8,049.8 Million by the year 2027. The market is anticipated to register a CAGR of 35.9% during the forecast period.
Edge AI is the disposition of artificial intelligence applications in devices all over the physical world. The AI computation has to be done near the user at the edge of the network, near to the location of the data, rather than centrally in a cloud computing facility or even a private data center.
글로벌 엣지 AI 소프트웨어 시장은 2021년에 14억 5980만 달러의 시장 가치를 보유했으며 2027년에는 80억 4980만 달러에 이를 것으로 예상됩니다. 이 시장은 예측 기간 동안 35.9%의 CAGR을 기록할 것으로 예상됩니다.
Edge AI는 물리적 세계의 모든 장치에 인공 지능 응용 프로그램을 배치하는 것입니다. AI 계산은 클라우드 컴퓨팅 시설이나 사설 데이터 센터의 중앙이 아니라 데이터 위치에 가까운 네트워크 가장자리의 사용자 근처에서 수행되어야 합니다.
The market is set to boom at a double-digit growth rate owing to the increased advancements in AI-powered IoT in smart applications. The increased use of edge AI software in the 5G network industry also fuels the growth rate of the market.
On the other hand, the data privacy compliance standards are not proper in all regions which hamper the market growth to a limited extent. Moreover, AI and machine learning continue to develop, yet many AI disruptors lack the capacity to process complex AI, machine learning algorithms. Thus, such elements hinder the market growth.
Growth Influencers:
Advancements in AI-powered IoT (Internet of Things) for Intelligent Systems and Smart Applications
The extensive implementation of the Internet of Things has powered the detonation of big data. With the swift ability to amass data in every aspect of a business, the edge AI software are playing a prominent role. The AI-powered IoT software are used from industrial sensors, robots, to smart cameras. Thus, the increasing advancements fuel the market growth.
Use of Edge AI computing in 5G network
The edge AI software aids numerous end use industries. Using such a top-notch software for 5G networking purposes decreased costs and provides faster insights. It also offers effective data control and a streamlined operation. The 5G network permits establishing data centers at edge modules, and implementing industry-specific networks aided by virtualization and software-defined networking principles in a single environment. 5G coupled with IoT offers stable and secured connectivity, which increases the preference rate of this market considerably.
Segments Overview:
The global edge AI software market is segmented into component, data source, application, and end users.
By Component,
• Software
o Software Tools
o Platform
• Services
o Training and Consulting Services
o System Integration and Testing
o Support and Maintenance
The software segment held the largest market share of more than 80% in 2021. On the basis of the software segment, the platform sub-segment is expected to hold an opportunity of more than USD 3,500 Million during 2021 to 2027.
By Data Source,
• Biometric Data
• Mobile Data
• Sensor Data
• Speech Recognition
• Video and Image Recognition
The biometric data segment is anticipated to hold the highest growth rate of 36.6%. on the other hand, the sensor data held the largest market share of more than 25% in 2021.
By Application,
• Access Control
• Autonomous Vehicles
• Energy Management
• Predictive Maintenance
• Remote Monitoring
• Telemetry
• Video Surveillance
• Others
The energy management segment held the largest market share of more than 20% in 2021. On the other hand, the remote monitoring segment is projected to hold an opportunity of more than USD 900 Million during 2021 to 2027.
By End Users,
• Advanced Industries
• Banking and Insurance
• Chemicals and Agriculture
• Consumer
• Cross-Vertical
• Energy and Materials
• Healthcare
• Infrastructure
• Media and Entertainment
• Public Sector and Utilities
• Retail
• Travel, Transport and Logistics
The healthcare segment held the highest growth rate of 37.2%. Moreover, the travel, transport and logistics segment held the largest market share of more than 20% in 2021.
Regional Overview
By region, the global edge AI software market is divided into North America, Europe, Asia Pacific, Middle East & Africa, and South America.
The Asia-Pacific market for edge AI software held the largest market share of more than 35% in 2021 owing to the more technological developments in the area. Moreover, the market in other regions of North America, APAC, and Middle East and Africa are anticipated to grow at a considerable rate.
Competitive Landscape
Key players operating in the global edge AI software market include Anagog Ltd., Alef Edge, Inc., AWS, Bragi.Com, Azion Technologies, Chaos Prime, Inc., Foghorn Systems, Inc., Clearblade, Inc., Google, IBM, Gorilla Technology Group, Inc., Imagimob, TACT.AI, Nutanix, Microsoft, Sixsq Sarl, Synaptics, Octonion, TIBCO Software, and Veea Inc, among others.
The key four players in the market hold approximately 25% to 30% of the market share. These market players are capitalizing in collaborations, product launches, mergers, acquisitions, and expansions to sustain a competitive edge in the market. For instance, in August 2021, Alef Edge launched Private Edge, the first platform that will make the edge internet a reality. Alef’s Private Edge platform is a software-defined, mobile edge-based neutral host and open approach that aids enterprises to build and operate their own customized virtual private network.
The global edge AI software market report provides insights on the below pointers:
• Market Penetration: Provides comprehensive information on the market offered by the prominent players
• Market Development: The report offers detailed information about lucrative emerging markets and analyzes penetration across mature segments of the markets
• Market Diversification: Provides in-depth information about untapped geographies, recent developments, and investments
• Competitive Landscape Assessment: Mergers & acquisitions, certifications, product launches in the global edge AI software market have been provided in this research report. In addition, the report also emphasizes the SWOT analysis of the leading players.
• Product Development & Innovation: The report provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
• Pricing Analysis: Pricing analysis of various metals and other components used in the manufacturing
• Manufacturing Cost Analysis: Cost-share of various components in edge AI software
• Investment by Key Players
o IBM
o Microsoft
o Apple
• Regulatory Landscape
o The Personal Information Protection and Electronic Documents Act (PIPEDA)
o General Data Protection Regulation
o European Committee for Standardization
o Personal Data Protection Act
o Cloud Computing Framework
The global edge AI software market report answers questions such as:
• What is the market size and forecast of the global edge AI software market?
• What are the inhibiting factors and impact of COVID-19 on the global edge AI software market during the assessment period?
• Which are the products/segments/areas to invest in over the assessment period in the global edge AI software market?
• What is the competitive strategic window for opportunities in the global edge AI software market?
• What are the technology trends and regulatory frameworks in the global edge AI software market?
• What is the market share of the leading players in the global edge AI software market?
• What modes and strategic moves are considered favorable for entering the global edge AI software market?
목차
Chapter 1. Research Framework
1.1 Research Objective
1.2 Product Overview
1.3 Market Segmentation
Chapter 2. Research Methodology
2.1 Qualitative Research
2.1.1 Primary & Secondary Sources
2.2 Quantitative Research
2.2.1 Primary & Secondary Sources
2.3 Breakdown of Primary Research Respondents, By Region
2.4 Assumption for the Study
2.5 Market Size Estimation
2.6. Data Triangulation
Chapter 3. Executive Summary: Global Edge AI Software Market
Chapter 4. Global Edge AI Software Market Overview
4.1. Industry Value Chain Analysis
4.1.1. Facility
4.1.2. Hardware
4.1.3. Network
4.1.4. Edge Cloud Infrastructure
4.1.5. Application/ Software
4.1.6. Integration & Services
4.1.7. Open Sources & Forums
4.2. PEST Analysis
4.3. Porter’s Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of Substitutes
4.3.4. Threat of New Entrants
4.3.5. Degree of Competition
4.4. Market Dynamics and Trends
4.4.1. Growth Drivers
4.4.2. Restraints
4.4.3. Challenges
4.4.4. Key Trends
4.5. Covid-19 Impact Assessment on Market Growth Trend
4.5.1. Growth Trend Shift Analysis
4.5.2. Industry Best Practices
4.6. Market Growth and Outlook
4.6.1. Market Revenue Estimates and Forecast (US$ Mn), 2017-2027
4.6.2. Price Trend Analysis
4.6.3. Investors and Funding Landscape
4.7. Regulatory Landscape
4.7.1. The Personal Information Protection and Electronic Documents Act (PIPEDA)
4.7.2. General Data Protection Regulation
4.7.3. European Committee for Standardization
4.7.4. Personal Data Protection Act
4.7.5. Cloud Computing Framework
4.7.6. Other Regulatory Landscape, by Region/ Country
4.8. Competition Dashboard
4.8.1. Market Concentration Rate
4.8.2. Company Market Share Analysis (Value %), 2020
4.8.3. Competitor Product Mapping
Chapter 5. Global Edge AI Software Market Analysis, By Component
5.1. Key Insights
5.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
5.2.1. Solutions
5.2.1.1. Software Tools
5.2.1.2. Platform
5.2.2. Services
5.2.2.1. Training and Consulting Services
5.2.2.2. System Integration and Testing
5.2.2.3. Support and Maintenance
Chapter 6. Global Edge AI Software Market Analysis, By Data Source
6.1. Key Insights
6.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
6.2.1. Biometric Data
6.2.2. Mobile Data
6.2.3. Sensor Data
6.2.4. Speech Recognition
6.2.5. Video and Image Recognition
Chapter 7. Global Edge AI Software Market Analysis, By Application
7.1. Key Insights
7.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
7.2.1. Access Control
7.2.2. Autonomous Vehicles
7.2.3. Energy Management
7.2.4. Predictive Maintenance
7.2.5. Remote Monitoring
7.2.6. Telemetry
7.2.7. Video Surveillance
7.2.8. Others
Chapter 8. Global Edge AI Software Market Analysis, By End Users
8.1. Key Insights
8.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
8.2.1. Advanced Industries
8.2.2. Banking and Insurance
8.2.3. Chemicals and Agriculture
8.2.4. Consumer
8.2.5. Cross-Vertical
8.2.6. Energy and Materials
8.2.7. Healthcare
8.2.8. Infrastructure
8.2.9. Media and Entertainment
8.2.10. Public Sector and Utilities
8.2.11. Retail
8.2.12. Travel, Transport and Logistics
Chapter 9. Global Edge AI Software Market Analysis, By Region/ Country
9.1. Key Insights
9.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
9.2.1. North America
9.2.1.1. The U.S.
9.2.1.2. Canada
9.2.1.3. Mexico
9.2.2. Europe
9.2.2.1. Western Europe
9.2.2.1.1. The UK
9.2.2.1.2. Germany
9.2.2.1.3. France
9.2.2.1.4. Italy
9.2.2.1.5. Spain
9.2.2.1.6. Rest of Western Europe
9.2.2.2. Eastern Europe
9.2.2.2.1. Poland
9.2.2.2.2. Russia
9.2.2.2.3. Rest of Eastern Europe
9.2.3. Asia Pacific
9.2.3.1. China
9.2.3.2. India
9.2.3.3. Japan
9.2.3.4. Australia & New Zealand
9.2.3.5. ASEAN
9.2.3.6. Rest of Asia Pacific
9.2.4. Middle East & Africa (MEA)
9.2.4.1. UAE
9.2.4.2. Saudi Arabia
9.2.4.3. South Africa
9.2.4.4. Rest of MEA
9.2.5. South America
9.2.5.1. Brazil
9.2.5.2. Argentina
9.2.5.3. Rest of South America
Chapter 10. North America Edge AI Software Market Analysis
10.1. Key Insights
10.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
10.2.1. By Component
10.2.2. By Data Source
10.2.3. By Application
10.2.4. By Industry
10.2.5. By Country
Chapter 11. Europe Edge AI Software Market Analysis
11.1. Key Insights
11.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
11.2.1. By Component
11.2.2. By Data Source
11.2.3. By Application
11.2.4. By Industry
11.2.5. By Country
Chapter 12. Asia Pacific Edge AI Software Market Analysis
12.1. Key Insights
12.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
12.2.1. By Component
12.2.2. By Data Source
12.2.3. By Application
12.2.4. By Industry
12.2.5. By Country
Chapter 13. Middle East & Africa Edge AI Software Market Analysis
13.1. Key Insights
13.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
13.2.1. By Component
13.2.2. By Data Source
13.2.3. By Application
13.2.4. By Industry
13.2.5. By Country
Chapter 14. South America Edge AI Software Market Analysis
14.1. Key Insights
14.2. Market Size and Forecast, 2017 -2027 (US$ Mn)
14.2.1. By Component
14.2.2. By Data Source
14.2.3. By Application
14.2.4. By Industry
14.2.5. By Country
Chapter 15. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)
15.1. AlefEdge, Inc.
15.2. AnagogLtd.
15.3. AWS
15.4. AzionTechnologies
15.5. Bragi.Com
15.6. Chaos Prime, Inc.
15.7. Clearblade, Inc.
15.8. Foghorn Systems, Inc.
15.9. Google
15.10. Gorilla Technology Group, Inc.
15.11. IBM
15.12. Imagimob
15.13. Microsoft
15.14. Nutanix
15.15. Octonion
15.16. SixsqSarl
15.17. Synaptics
15.18. TACT.AI
15.19. TIBCO Software
15.20. VeeaInc.
15.21. Other Prominent Players
