세계의 AI 이미지 인식 시장 : 유형별, 전개별, 최종 사용자별, 조직 규모별-예측(2025-2030년)

The AI Image Recognition Market was valued at USD 32.81 billion in 2023, expected to reach USD 40.24 billion in 2024, and is projected to grow at a CAGR of 22.19%, to USD 133.45 billion by 2030.

AI image recognition refers to the technological process by which artificial intelligence systems interpret and understand visual data from the world, such as photographs, graphics, and videos. Its necessity stems from the increasing volume of visual data generated daily and the capability of AI to analyze and make sense of this information faster and more accurately than traditional methods. Applications range across various industries, including healthcare for diagnostic imaging, automotive for autonomous vehicle systems, security for surveillance analysis, and retail for customer experience enhancement through visual search and inventory management. The end-use scope is expansive, catering to sectors like automotive, BFSI, healthcare, media, and retail, where automation and data-driven insights drive competitive advantage. Presently, market growth is significantly influenced by advancements in deep learning and neural networks, increasing computing power, and a growing dataset availability. However, limitations such as high implementation costs, data privacy concerns, and issues related to bias and ethical AI usage present challenges. The market faces technical hurdles with real-time image processing accuracy and adapting AI models to diverse and unpredictable real-world scenarios. Potential opportunities reside in developing AI systems for personalized consumer interactions, enhancing AR/VR experiences, and improving diagnostic tools in healthcare. Companies can capitalize by investing in proprietary algorithms to enhance precision and efficiency, forming strategic partnerships for cross-industry solutions, and expanding into underserved markets. Innovation will likely focus on bias reduction in AI models, energy-efficient AI processes, and advancements in edge computing for quicker, localized data processing. The market is inherently dynamic, with a constant influx of technological improvements and evolving regulations, suggesting that businesses need to maintain flexibility and forward-thinking in their strategic planning to effectively capture growth opportunities.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving AI Image Recognition Market

The AI Image Recognition 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
  • Use of facial recognition in smart devices and across ecommerce platforms
  • Adoption of image recognition in medical and diagnostics sector
  • Government initiatives expanding deployment and awareness of AI image recognition
• Market Restraints
  • Inaccuracy & latency issues due to massive data generation
• Market Opportunities
  • R&D for improvements in image recognition technology
  • Emerging use of image recognition in smart cities
• Market Challenges
  • Privacy and security concerns related to AI in image recognition solutions

Porter's Five Forces: A Strategic Tool for Navigating the AI Image Recognition Market

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

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

A detailed market share analysis in the AI Image Recognition 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 AI Image Recognition Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the AI Image Recognition 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 AI Image Recognition Market

A strategic analysis of the AI Image Recognition 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 AI Image Recognition Market, highlighting leading vendors and their innovative profiles. These include AIRY3D, Amazon Web Services, Inc., Blippar Group Limited, Clarifai, Inc., Fritz Labs Inc., Google LLC by Alphabet Inc., Honeywell International Inc., Huawei Cloud Computing Technologies Co., Ltd., Infrrd Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Mirror AI, Monolith AI Ltd., NEC Corporation, Oracle Corporation, Qualcomm Technologies, Inc., Restb.ai, Snap2Insight Inc., Standard AI, Toshiba Corporation, Trax Technology Solutions Pte Ltd., Unispectral Ltd., Vispera Information Technologies, and Ximilar s.r.o..

Market Segmentation & Coverage

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

• Based on Type, market is studied across Hardware, Services, and Software.
• Based on Deployment, market is studied across On-Cloud and On-Premise.
• Based on End-User, market is studied across Automotive, BFSI, Healthcare, Retail, and Security.
• Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.
• 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. Use of facial recognition in smart devices and across ecommerce platforms
    • 5.1.1.2. Adoption of image recognition in medical and diagnostics sector
    • 5.1.1.3. Government initiatives expanding deployment and awareness of AI image recognition
  • 5.1.2. Restraints
    • 5.1.2.1. Inaccuracy & latency issues due to massive data generation
  • 5.1.3. Opportunities
    • 5.1.3.1. R&D for improvements in image recognition technology
    • 5.1.3.2. Emerging use of image recognition in smart cities
  • 5.1.4. Challenges
    • 5.1.4.1. Privacy and security concerns related to AI in image recognition solutions
• 5.2. Market Segmentation Analysis
• 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. AI Image Recognition Market, by Type

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Services
• 6.4. Software

7. AI Image Recognition Market, by Deployment

• 7.1. Introduction
• 7.2. On-Cloud
• 7.3. On-Premise

8. AI Image Recognition Market, by End-User

• 8.1. Introduction
• 8.2. Automotive
• 8.3. BFSI
• 8.4. Healthcare
• 8.5. Retail
• 8.6. Security

9. AI Image Recognition Market, by Organization Size

• 9.1. Introduction
• 9.2. Large Enterprises
• 9.3. Small & Medium Enterprises

10. Americas AI Image Recognition Market

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

11. Asia-Pacific AI Image Recognition 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 Image Recognition 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
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. AIRY3D
• 2. Amazon Web Services, Inc.
• 3. Blippar Group Limited
• 4. Clarifai, Inc.
• 5. Fritz Labs Inc.
• 6. Google LLC by Alphabet Inc.
• 7. Honeywell International Inc.
• 8. Huawei Cloud Computing Technologies Co., Ltd.
• 9. Infrrd Inc.
• 10. Intel Corporation
• 11. International Business Machines Corporation
• 12. Microsoft Corporation
• 13. Mirror AI
• 14. Monolith AI Ltd.
• 15. NEC Corporation
• 16. Oracle Corporation
• 17. Qualcomm Technologies, Inc.
• 18. Restb.ai
• 19. Snap2Insight Inc.
• 20. Standard AI
• 21. Toshiba Corporation
• 22. Trax Technology Solutions Pte Ltd.
• 23. Unispectral Ltd.
• 24. Vispera Information Technologies
• 25. Ximilar s.r.o.