엣지 AI 소프트웨어 시장 : 구성요소, 데이터 소스, 용도, 최종 용도별 - 세계 예측(2025-2030년)

The Edge AI Software Market was valued at USD 1.25 billion in 2023, expected to reach USD 1.58 billion in 2024, and is projected to grow at a CAGR of 26.55%, to USD 6.54 billion by 2030.

Edge AI Software refers to artificial intelligence solutions that are processed locally on hardware devices at the edge of a network, rather than in a centralized data center or cloud environment. The necessity of Edge AI Software is propelled by the increasing demand for real-time processing and decision-making capabilities across various industry sectors, including automotive, telecommunications, healthcare, and manufacturing. Its applications are manifold, from enabling self-driving vehicles to performing real-time data analysis in IoT devices, thus presenting vast end-use scope. The market is primarily driven by the proliferation of IoT devices, growing demands for reducing latency, enhancing data privacy, and decreasing bandwidth costs. The shift towards more decentralized AI applications creates significant growth opportunities; for instance, enhancing AI capabilities in smartphones or offering local data processing in remote locations. However, challenges such as high implementation costs, data security concerns, and the requirement for robust infrastructure can hinder market expansion. Despite these challenges, there is considerable scope for innovation, particularly in developing energy-efficient AI models and creating robust frameworks for on-device intelligence. Advances in chip design and edge hardware will also provide a fertile ground for further research and development. Opportunities exist in partnerships with semiconductor companies and leveraging emerging machine learning models optimized for edge environments. Sector-specific adaptations, such as for personalized healthcare or adaptive manufacturing processes, offer additional avenues for growth. Firms can also explore the growing dialogue on data privacy, turning challenges into opportunities by developing solutions that ensure compliance with regulations like GDPR. Overall, the Edge AI Software market is characterized by rapid technological advancements and an inclination towards personalization and localization, offering a broad landscape for businesses to innovate and expand their reach while overcoming inherent limitations.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Edge AI Software Market

The Edge AI Software 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
  • Rising Use of Edge Devices and Integration of IoT Devices
  • Increasing Demand for Enhanced Data Privacy and Security
  • Intensifying Usage of Social Media and eCommerce Platforms
• Market Restraints
  • Privacy and Security Concerns Related to Edge AI Solutions
• Market Opportunities
  • Improvements in Edge AI Software
  • Significant Investment for Expanding 5G Network Worldwide
• Market Challenges
  • Interoperability Issues Slowing the Adoption of Edge AI Software

Porter's Five Forces: A Strategic Tool for Navigating the Edge AI Software Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Edge AI Software 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 AI Software Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Edge AI Software 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 AI Software Market

A detailed market share analysis in the Edge AI Software 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 AI Software Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Edge AI Software 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.

Key Company Profiles

The report delves into recent significant developments in the Edge AI Software Market, highlighting leading vendors and their innovative profiles. These include Johnson Controls International PLC, TIBCO Software Inc., Hailo Technologies Ltd., Nutanix, Inc., Alef Edge, Inc., International Business Machines Corporation, NVIDIA Corporation, Veea Inc., Gorilla Technology Group Inc., Gorilla Technology Inc., Microsoft Corporation, VMWare, Inc., Mavenir Systems, Inc., Numurus LLC, ZEDEDA, Inc., Tact.ai Technologies, Inc., Anagog Ltd., Eurotech S.p.A., Tata Elxsi Limited, Amazon Web Services, Inc., Intel Corporation, Kneron, Inc., Adapdix, Inc., Infineon Technologies AG, Atos SE, Kinara Inc., T-DAB.AI Ltd., Ekinops S.A., Imagimob AB, ClearBlade, Inc., byteLAKE s.c., Synaptics Incorporated, Azion Technologies, Inc., Blaize, and Google LLC by Alphabet, Inc..

Market Segmentation & Coverage

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

• 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 Data 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 and 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?

Table of Contents

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. Rising Use of Edge Devices and Integration of IoT Devices
    • 5.1.1.2. Increasing Demand for Enhanced Data Privacy and Security
    • 5.1.1.3. Intensifying Usage of Social Media and eCommerce Platforms
  • 5.1.2. Restraints
    • 5.1.2.1. Privacy and Security Concerns Related to Edge AI Solutions
  • 5.1.3. Opportunities
    • 5.1.3.1. Improvements in Edge AI Software
    • 5.1.3.2. Significant Investment for Expanding 5G Network Worldwide
  • 5.1.4. Challenges
    • 5.1.4.1. Interoperability Issues Slowing the Adoption of Edge AI Software
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Research initiatives to support advancements in edge AI software solutions
  • 5.2.2. Data source: Generation of sensor data due to growing utilization of sensor technologies in industries
  • 5.2.3. Application: Growing sustainability concerns driving adoption of edge AI software in energy management
  • 5.2.4. End-use: Need to ensure optimum data security and privacy in government & public Sector
• 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
• 5.5. Client Customization

6. Edge AI Software Market, by Component

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Support & Maintenance
  • 6.2.2. System Integration & Testing
  • 6.2.3. Training & Consulting
• 6.3. Solution
  • 6.3.1. Platform
  • 6.3.2. Software Tools

7. Edge AI Software 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. Edge AI Software Market, by Application

• 8.1. Introduction
• 8.2. Access Management
• 8.3. Autonomous Vehicles
• 8.4. Energy Management
• 8.5. Precision Agriculture
• 8.6. Remote Monitoring & Predictive Maintenance
• 8.7. Smart Wearables
• 8.8. Telemetry
• 8.9. Video Surveillance

9. Edge AI Software Market, by End-use

• 9.1. Introduction
• 9.2. Automotive
• 9.3. Energy and Utilities
• 9.4. Government & Public Sector
• 9.5. Healthcare
• 9.6. Manufacturing
• 9.7. Telecom

10. Americas Edge AI Software Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Edge AI Software 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 Edge AI Software 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. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
  • 13.3.1. Eurotech announces a new secure edge AI portfolio complying with the IEC 62443 cybersecurity standard
  • 13.3.2. Thundercomm Announces the Release of EB3Gen2 Edge AI Station to Drive Digital Transformation Across IoT Solutions
  • 13.3.3. Microsoft brings Bing AI features to Edge sidebar
  • 13.3.4. BYTE Acquisition Corp. and Airship AI Holdings, Inc. Announce Letter of Intent for a Business Combination
  • 13.3.5. NVIDIA Unveils GPU-Accelerated AI-on-5G System for Edge AI, 5G and Omniverse Digital Twins
  • 13.3.6. MemryX Inc. and Edge Impulse Announce Partnership to Effortlessly Develop and Deploy AI on MemryX Edge AI Processors
  • 13.3.7. Gorilla Technology Group Announces First U.K. Customer
  • 13.3.8. Microsoft Announces New Multibillion-Dollar Investment in Chatgpt-Maker Openai
  • 13.3.9. Edge Impulse partners with BrainChip for edge AI development
  • 13.3.10. Atos Unveils the Bullsequana Sh Server for Secure, Carbon-Efficient Hybrid Computing and Bullsequana Ex Series for Trusted Ai Applications at the Edge
  • 13.3.11. Kinara and Awiros Partnership to Provide High Performance AI Video Applications
  • 13.3.12. Synaptics Launches KatanaConnect, Industry's First Miniature Wireless AI Vision and Audio Module for Rapid Implementation of Battery-Powered IoT Devices
  • 13.3.13. VMware Extends SD-WAN Leadership with Innovations Enabling Enterprises to Connect and Secure the Distributed, Multi-Cloud Edge
  • 13.3.14. VMware Stockholders Approve Proposed Acquisition of VMware by Broadcom, Inc.
  • 13.3.15. Edge AI Startup Numurus Raises Funding for Robotics, Sensor Solutions
  • 13.3.16. Deploying Edge AI in NVIDIA Headquarters
  • 13.3.17. Airtel and IBM to Work Together to Bring Secured Edge Cloud Services to Indian Enterprises
  • 13.3.18. Eurotech Announces The Acquisition Of Inonet Computer Gmbh
  • 13.3.19. Intel eyes AI on 'Edge COmputing'
  • 13.3.20. Zededa Lands a Cash Infusion to Expand its Edge Device Management Software
  • 13.3.21. Hikma Ventures Invests in Tact.Ai, An Ai-Powered Customer Engagement Platform for Life Sciences Companies
  • 13.3.22. Johnson Controls acquires FogHorn, integrates Edge AI platform in OpenBlue
  • 13.3.23. Mavenir Launches 5G Hyperconverged Edge AI Solution for Enterprise & Telco Market Based on NVIDIA Platforms

Companies Mentioned

• 1. Johnson Controls International PLC
• 2. TIBCO Software Inc.
• 3. Hailo Technologies Ltd.
• 4. Nutanix, Inc.
• 5. Alef Edge, Inc.
• 6. International Business Machines Corporation
• 7. NVIDIA Corporation
• 8. Veea Inc.
• 9. Gorilla Technology Group Inc.
• 10. Gorilla Technology Inc.
• 11. Microsoft Corporation
• 12. VMWare, Inc.
• 13. Mavenir Systems, Inc.
• 14. Numurus LLC
• 15. ZEDEDA, Inc.
• 16. Tact.ai Technologies, Inc.
• 17. Anagog Ltd.
• 18. Eurotech S.p.A.
• 19. Tata Elxsi Limited
• 20. Amazon Web Services, Inc.
• 21. Intel Corporation
• 22. Kneron, Inc.
• 23. Adapdix, Inc.
• 24. Infineon Technologies AG
• 25. Atos SE
• 26. Kinara Inc.
• 27. T-DAB.AI Ltd.
• 28. Ekinops S.A.
• 29. Imagimob AB
• 30. ClearBlade, Inc.
• 31. byteLAKE s.c.
• 32. Synaptics Incorporated
• 33. Azion Technologies, Inc.
• 34. Blaize
• 35. Google LLC by Alphabet, Inc.