Edge Artificial Intelligence Market by Processor, Component, Source, Application, End-Use

List of Tables

The Edge Artificial Intelligence Market was valued at USD 2.41 billion in 2023, expected to reach USD 2.97 billion in 2024, and is projected to grow at a CAGR of 24.71%, to USD 11.31 billion by 2030.

Edge Artificial Intelligence (Edge AI) refers to the deployment of AI algorithms on local devices or edge servers, rather than relying on centralized data centers. This approach minimizes latency, enhances real-time data processing, and helps manage bandwidth and data privacy concerns. The necessity for Edge AI is driven by the increasing demand for real-time decision-making in sectors such as healthcare, automotive, industrial automation, and consumer electronics. These applications often require quick, local processing of data generated by devices like wearables, autonomous vehicles, factory robots, and smartphones, where sending data to the cloud could introduce unacceptable delays or risks. The market is witnessing robust growth propelled by advancements in AI chipsets, the proliferation of Internet of Things (IoT) devices, and an increasing emphasis on data privacy. Key growth influencers include the acceleration of 5G networks, which support higher data rates, and improvements in AI model efficiency enabling more complex analytics on smaller and lower-power devices. However, challenges exist, including the high cost and power consumption of AI-capable hardware, integration complexities, and potential data security issues. Despite these hurdles, the sector is ripe with opportunities, particularly in new applications like smart city solutions, advanced driver-assistance systems (ADAS), and personalized consumer experiences in retail. Innovators could focus on developing energy-efficient chips, improving AI model compression techniques, and expanding towards vertical-specific solutions to capitalize on market trends. There is also potential for hybrid cloud-edge solutions that balance computational loads and optimize operational efficiency. The nature of the Edge AI market is dynamic, marked by rapid technological advancements and expanding stakeholder ecosystems ranging from semiconductor manufacturers to software developers. For sustained growth, businesses should focus on collaborative innovation and strategic partnerships to overcome deployment challenges while ensuring adaptive, scalable AI solutions tailored to evolving end-user needs.

KEY MARKET STATISTICS
Base Year [2023]	USD 2.41 billion
Estimated Year [2024]	USD 2.97 billion
Forecast Year [2030]	USD 11.31 billion
CAGR (%)	24.71%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Edge Artificial Intelligence Market

The Edge Artificial Intelligence Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

Market Drivers
- Increasing automation and electrification of industries across economies
- Growing investments in smart city development worldwide
- Rising production and deployment of autonomous vehicles
Market Restraints
- Deployment and integration issues with Edge AI
Market Opportunities
- Ongoing improvements in Edge AI technologies
- Potential utilization of Edge AI in precision agriculture
Market Challenges
- Privacy and security concerns associated with Edge AI

Porter's Five Forces: A Strategic Tool for Navigating the Edge Artificial Intelligence Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Edge Artificial Intelligence Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Edge Artificial Intelligence Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Edge Artificial Intelligence Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Edge Artificial Intelligence Market

A detailed market share analysis in the Edge Artificial Intelligence Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Edge Artificial Intelligence Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Edge Artificial Intelligence Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Edge Artificial Intelligence Market

A strategic analysis of the Edge Artificial Intelligence Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Edge Artificial Intelligence Market, highlighting leading vendors and their innovative profiles. These include ADLINK Technology Inc., Advanced Micro Devices, Inc., Advantech Co., Ltd., Aispire, Inc., Amazon Web Services Inc., ARBOR Technology Corp., BrainChip Holdings Ltd., Cisco Systems, Inc., ClearBlade, Inc., D-Link Corporation, EdgeIQ, Inc., Eta Compute Inc., Google LLC by Alphabet Inc., Gorilla Technology Group Inc., Hewlett Packard Enterprise Company, Huawei Technologies Co., Ltd., Intel Corporation, Intent HQ Limited, International Business Machines Corporation, Johnson Controls International PLC, Lenovo Group Limited, Microsoft Corporation, MYWAI, Nutanix, Inc., NVIDIA Corporation, Oracle Corporation, Qualcomm Technologies, Inc., Rockwell Automation, Inc., Saguna Consulting Services LLC, Samsung Electronics Co., Ltd., Sidus Space, Inc., Siemens AG, Sony Group Corporation, STMicroelectronics N.V., Synaptics Incorporated, Tata Elxsi Limited, TIBCO Software Inc. by Cloud Software Group, Inc., Tredence.Inc., Vapor IO, Inc., viso.ai AG, and VMware, Inc. by Broadcom Inc..

Market Segmentation & Coverage

This research report categorizes the Edge Artificial Intelligence Market to forecast the revenues and analyze trends in each of the following sub-markets:

Based on Processor, market is studied across Application-Specific Integrated Circuit, Central Processing Unit, Field Programmable Gate Array, and Graphics Processing Unit.
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.
Based on Source, market is studied across Biometric Data, Mobile Data, Sensor Data, Speech Recognition, and Video & Image Recognition.
Based on Application, market is studied across Access Management, Autonomous Vehicles, Energy Management, Precision Agriculture, Remote Monitoring & Predictive Maintenance, Smart Wearables, Telemetry, and Video Surveillance.
Based on End-Use, market is studied across Automotive, Energy & Utilities, Government & Public Sector, Healthcare, Manufacturing, and Telecom.
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 report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-035590447C15

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. 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

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing automation and electrification of industries across economies
  - 5.1.1.2. Growing investments in smart city development worldwide
  - 5.1.1.3. Rising production and deployment of autonomous vehicles
- 5.1.2. Restraints
  - 5.1.2.1. Deployment and integration issues with Edge AI
- 5.1.3. Opportunities
  - 5.1.3.1. Ongoing improvements in Edge AI technologies
  - 5.1.3.2. Potential utilization of Edge AI in precision agriculture
- 5.1.4. Challenges
  - 5.1.4.1. Privacy and security concerns associated with Edge AI
5.2. Market Segmentation Analysis
- 5.2.1. Component: Growing usage of software tools to create and implement effective Edge AI applications
- 5.2.2. Processor: High potential of application-specific integrated circuit (ASIC) o accelerate image recognition and data analysis
- 5.2.3. Source: Edge-based biometric systems provide faster response times and reduce bandwidth load on networks
- 5.2.4. Application: Deployment of Edge AI in smart wearables to offer more accurate data analysis and faster processing
- 5.2.5. End-Use: Rising adoption of Edge AI by government & public sector, emphasizing service delivery and data security
5.3. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

6. Edge Artificial Intelligence Market, by Processor

6.1. Introduction
6.2. Application-Specific Integrated Circuit
6.3. Central Processing Unit
6.4. Field Programmable Gate Array
6.5. Graphics Processing Unit

7. Edge Artificial Intelligence Market, by Component

7.1. Introduction
7.2. Services
- 7.2.1. Support & Maintenance
- 7.2.2. System Integration & Testing
- 7.2.3. Training & Consulting
7.3. Solution
- 7.3.1. Platform
- 7.3.2. Software Tools

8. Edge Artificial Intelligence Market, by Source

8.1. Introduction
8.2. Biometric Data
8.3. Mobile Data
8.4. Sensor Data
8.5. Speech Recognition
8.6. Video & Image Recognition

9. Edge Artificial Intelligence Market, by Application

9.1. Introduction
9.2. Access Management
9.3. Autonomous Vehicles
9.4. Energy Management
9.5. Precision Agriculture
9.6. Remote Monitoring & Predictive Maintenance
9.7. Smart Wearables
9.8. Telemetry
9.9. Video Surveillance

10. Edge Artificial Intelligence Market, by End-Use

10.1. Introduction
10.2. Automotive
10.3. Energy & Utilities
10.4. Government & Public Sector
10.5. Healthcare
10.6. Manufacturing
10.7. Telecom

11. Americas Edge Artificial Intelligence Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Edge Artificial Intelligence Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Edge Artificial Intelligence Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
- 14.3.1. Google Invests USD 1.1 Billion in Finland Data Center to Enhance AI Capabilities and Sustainability Initiatives
- 14.3.2. Myelin Foundry Secures USD 4 Million Funding to Pioneer Edge AI Solutions
- 14.3.3. Synaptics Advances AI and IoT with Cutting-Edge Edge Computing Solutions
- 14.3.4. Eta Compute's Aptos Expands Compatibility with Qualcomm's IoT Solutions
- 14.3.5. ClearBlade Introduces Generative AI Assistant to Enhance Intelligent Asset Management
- 14.3.6. Microsoft and NVIDIA Join Forces to Enhance Healthcare and Life Sciences with Advanced AI Solutions
- 14.3.7. Intel's Strategic Innovations to Enhance AI and Automation Across Network and Edge
- 14.3.8. Octaipipe Secures GBP 3.5 Million in Pre-Series Funding to Advance Edge AI Technology
- 14.3.9. BrainChip and MyWai Partner for Next-Gen Edge AI Solutions
- 14.3.10. Strategic Partnership Announced Between BrainChip Holdings and MYWAI for Advanced Edge AI Solutions in the EU
- 14.3.11. HPE's Strategic Acquisition of Juniper Networks to Propel AI Capabilities
- 14.3.12. Blaize, Inc. to Go Public Through Merger with BurTech Acquisition Corp., Valued at USD 894 Million
14.4. Strategy Analysis & Recommendation
- 14.4.1. NVIDIA Corporation
- 14.4.2. International Business Machines Corporation
- 14.4.3. Microsoft Corporation
- 14.4.4. Qualcomm Technologies, Inc.

Companies Mentioned

1. ADLINK Technology Inc.
2. Advanced Micro Devices, Inc.
3. Advantech Co., Ltd.
4. Aispire, Inc.
5. Amazon Web Services Inc.
6. ARBOR Technology Corp.
7. BrainChip Holdings Ltd.
8. Cisco Systems, Inc.
9. ClearBlade, Inc.
10. D-Link Corporation
11. EdgeIQ, Inc.
12. Eta Compute Inc.
13. Google LLC by Alphabet Inc.
14. Gorilla Technology Group Inc.
15. Hewlett Packard Enterprise Company
16. Huawei Technologies Co., Ltd.
17. Intel Corporation
18. Intent HQ Limited
19. International Business Machines Corporation
20. Johnson Controls International PLC
21. Lenovo Group Limited
22. Microsoft Corporation
23. MYWAI
24. Nutanix, Inc.
25. NVIDIA Corporation
26. Oracle Corporation
27. Qualcomm Technologies, Inc.
28. Rockwell Automation, Inc.
29. Saguna Consulting Services LLC
30. Samsung Electronics Co., Ltd.
31. Sidus Space, Inc.
32. Siemens AG
33. Sony Group Corporation
34. STMicroelectronics N.V.
35. Synaptics Incorporated
36. Tata Elxsi Limited
37. TIBCO Software Inc. by Cloud Software Group, Inc.
38. Tredence.Inc.
39. Vapor IO, Inc.
40. viso.ai AG
41. VMware, Inc. by Broadcom Inc.