AI Edge Computing Market by Component (Services, Solution), Data Source (Biometric Data, Mobile Data, Sensor Data), Application, End-User - Global Forecast 2023-2030
The AI Edge Computing Market is projected to reach USD 43.56 billion by 2030 from USD 9.78 billion in 2022, at a CAGR of 20.52% during the forecast period.
Market Segmentation & Coverage:
This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the AI Edge Computing Market.
- Based on Component, market is studied across Services and Solution. The Services is further studied across Support & Maintenance, System Integration & Testing, and Training & Consulting. The Solution is further studied across Platform and Software Tools. The Services is projected to witness significant market share during forecast period.
- Based on Data Source, market is studied across Biometric Data, Mobile Data, Sensor Data, Speech Recognition, and Video & Image Recognition. The Biometric Data is projected to witness significant market share during forecast period.
- Based on Application, market is studied across Access Management, Autonomous Vehicles, Energy Management, Remote Monitoring & Predictive Maintenance, Telemetry, and Video Surveillance. The Video Surveillance is projected to witness significant market share during forecast period.
- Based on End-User, market is studied across Automotive, Energy & Utilities, Government & Public, Healthcare, Manufacturing, and Telecom. The Telecom is projected to witness significant market share during forecast period.
- Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Asia-Pacific is projected to witness significant market share during forecast period.
The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix is an indispensable tool for assessing the AI Edge Computing Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.
Market Share Analysis:
The Market Share Analysis offers invaluable insights into the vendor landscape AI Edge Computing Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.
Key Company Profiles:
The report delves into recent significant developments in the AI Edge Computing Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., ADLINK Technology Inc., Advantech Co., Ltd., Advian, Amazon Web Services, Inc., Atos SE, Bosch Global Software Technologies Pvt. Ltd., Cisco Systems, Inc., Dell Inc., General Electric Company, Hewlett Packard Enterprise Development LP, Honeywell International Inc., Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Lenovo, Microsoft Corporation, NVIDIA Corporation, Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, Sterlite Technologies Ltd., Tata Elxsi, and Teksun.
The report offers valuable insights on the following aspects:
- Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.
- Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.
- Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.
- Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.
- Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast for the AI Edge Computing Market?
- Which products, segments, applications, and areas hold the highest investment potential in the AI Edge Computing Market?
- What is the competitive strategic window for identifying opportunities in the AI Edge Computing Market?
- What are the latest technology trends and regulatory frameworks in the AI Edge Computing Market?
- What is the market share of the leading vendors in the AI Edge Computing Market?
- Which modes and strategic moves are suitable for entering the AI Edge Computing Market?
Note: PDF & Excel + Online Access - 1 Year
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. AI Edge Computing Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Growing customer inclination toward smart devices
- 5.1.1.2. Increasing adoption of predictive maintenance in digital infrastructure worldwide
- 5.1.1.3. Need for cost and operational efficiency in enterprises
- 5.1.2. Restraints
- 5.1.2.1. Latency issues due to massive data generation
- 5.1.3. Opportunities
- 5.1.3.1. Investments to integrate AI edge computing in various end-user industries
- 5.1.3.2. Adoption of AI edge computing in smart cities for intelligent traffic controls and parking communications
- 5.1.4. Challenges
- 5.1.4.1. Data privacy and security concerns associated with AI Edge computing
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of COVID-19
- 5.5. Cumulative Impact of Russia-Ukraine Conflict
- 5.6. Cumulative Impact of High Inflation
- 5.7. Porter’s Five Forces Analysis
- 5.7.1. Threat of New Entrants
- 5.7.2. Threat of Substitutes
- 5.7.3. Bargaining Power of Customers
- 5.7.4. Bargaining Power of Suppliers
- 5.7.5. Industry Rivalry
- 5.8. Value Chain & Critical Path Analysis
- 5.9. Regulatory Framework
- 5.10. Client Customization
- 6. AI Edge Computing Market, by Component
- 6.1. Introduction
- 6.2. Services
- 6.3.1. Support & Maintenance
- 6.3.2. System Integration & Testing
- 6.3.3. Training & Consulting
- 6.3. Solution
- 6.4.1. Platform
- 6.4.2. Software Tools
- 7. AI Edge Computing Market, by Data Source
- 7.1. Introduction
- 7.2. Biometric Data
- 7.3. Mobile Data
- 7.4. Sensor Data
- 7.5. Speech Recognition
- 7.6. Video & Image Recognition
- 8. AI Edge Computing Market, by Application
- 8.1. Introduction
- 8.2. Access Management
- 8.3. Autonomous Vehicles
- 8.4. Energy Management
- 8.5. Remote Monitoring & Predictive Maintenance
- 8.6. Telemetry
- 8.7. Video Surveillance
- 9. AI Edge Computing Market, by End-User
- 9.1. Introduction
- 9.2. Automotive
- 9.3. Energy & Utilities
- 9.4. Government & Public
- 9.5. Healthcare
- 9.6. Manufacturing
- 9.7. Telecom
- 10. Americas AI Edge Computing Market
- 10.1. Introduction
- 10.2. Argentina
- 10.3. Brazil
- 10.4. Canada
- 10.5. Mexico
- 10.6. United States
- 11. Asia-Pacific AI Edge Computing Market
- 11.1. Introduction
- 11.2. Australia
- 11.3. China
- 11.4. India
- 11.5. Indonesia
- 11.6. Japan
- 11.7. Malaysia
- 11.8. Philippines
- 11.9. Singapore
- 11.10. South Korea
- 11.11. Taiwan
- 11.12. Thailand
- 11.13. Vietnam
- 12. Europe, Middle East & Africa AI Edge Computing Market
- 12.1. Introduction
- 12.2. Denmark
- 12.3. Egypt
- 12.4. Finland
- 12.5. France
- 12.6. Germany
- 12.7. Israel
- 12.8. Italy
- 12.9. Netherlands
- 12.10. Nigeria
- 12.11. Norway
- 12.12. Poland
- 12.13. Qatar
- 12.14. Russia
- 12.15. Saudi Arabia
- 12.16. South Africa
- 12.17. Spain
- 12.18. Sweden
- 12.19. Switzerland
- 12.20. Turkey
- 12.21. United Arab Emirates
- 12.22. United Kingdom
- 13. Competitive Landscape
- 13.1. FPNV Positioning Matrix
- 13.2. Market Share Analysis, By Key Player
- 13.3. Competitive Scenario Analysis, By Key Player
- 14. Competitive Portfolio
- 14.1. Key Company Profiles
- 14.1.1. ABB Ltd.
- 14.1.2. ADLINK Technology Inc.
- 14.1.3. Advantech Co., Ltd.
- 14.1.4. Advian
- 14.1.5. Amazon Web Services, Inc.
- 14.1.6. Atos SE
- 14.1.7. Bosch Global Software Technologies Pvt. Ltd.
- 14.1.8. Cisco Systems, Inc.
- 14.1.9. Dell Inc.
- 14.1.10. General Electric Company
- 14.1.11. Hewlett Packard Enterprise Development LP
- 14.1.12. Honeywell International Inc.
- 14.1.13. Huawei Technologies Co., Ltd.
- 14.1.14. Intel Corporation
- 14.1.15. International Business Machines Corporation
- 14.1.16. Lenovo
- 14.1.17. Microsoft Corporation
- 14.1.18. NVIDIA Corporation
- 14.1.19. Rockwell Automation, Inc.
- 14.1.20. SAP SE
- 14.1.21. Schneider Electric SE
- 14.1.22. Siemens AG
- 14.1.23. Sterlite Technologies Ltd.
- 14.1.24. Tata Elxsi
- 14.1.25. Teksun
- 14.2. Key Product Portfolio
- 15. Appendix
- 15.1. Discussion Guide
- 15.2. License & Pricing
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