제조 분야 컴퓨터 비전 시장 : 제품, 구성요소, 용도별 - 세계 예측(2025-2030년)

The Computer Vision in Manufacturing Market was valued at USD 6.95 billion in 2023, expected to reach USD 8.00 billion in 2024, and is projected to grow at a CAGR of 15.28%, to USD 18.83 billion by 2030.

Computer vision in manufacturing involves the use of machine vision systems and algorithms to automate and enhance the inspection, analysis, and control processes within production environments. This technology's necessity is underscored by its ability to increase production efficiency, enhance quality control, limit human error, and support predictive maintenance, making it invaluable for maintaining competitiveness in highly automated manufacturing environments. Applications range from defect detection and assembly verification to inventory management and product sorting. The end-use scope is diverse, spanning industries like automotive, electronics, pharmaceuticals, and food and beverage. Market growth is influenced by factors such as advancements in AI and deep learning, increasing demand for automation, and the need for quality assurance. However, limitations like high implementation costs, technical complexity, and issues related to system integration pose challenges, potentially restraining the market's rapid adoption. Innovators focusing on reducing costs and improving ease of use, possibly through software-as-a-service models or developing user-friendly interfaces, stand to gain a strategic advantage. Furthermore, recent developments in edge computing and IoT integration present fresh opportunities, enhancing real-time analytics and decision-making abilities. Recommendations for businesses include investing in R&D to develop adaptable models that cater to specific industry needs and forming strategic partnerships to expand technological capabilities and market reach. Companies should also explore emerging sectors, such as cybersecurity within computer vision systems and sustainability-driven manufacturing practices. While the market is competitive and rapidly evolving, the inherent nature favors organizations that can offer flexible, scalable, and secure solutions that address the nuanced requirements of different manufacturing sectors. To overcome challenges, businesses should focus on comprehensive training and education to better align technical teams with computer vision capabilities and reduce associated integration difficulties.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Computer Vision in Manufacturing Market

The Computer Vision in Manufacturing 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
  • Continuous expansion of the manufacturing industry across economies
  • Increasing government and private investments towards supply chain optimization
  • Growing adoption of Industry 4.0 with supportive policies
• Market Restraints
  • High cost of technology deployment and shortage of trained professionals
• Market Opportunities
  • Improvements in computer vision technologies with research and development efforts
  • Emergence of advanced robotics technology and investment in smart factories
• Market Challenges
  • Limited availability of high-quality datasets for effective operation of computer vision system

Porter's Five Forces: A Strategic Tool for Navigating the Computer Vision in Manufacturing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Computer Vision in Manufacturing 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 Computer Vision in Manufacturing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Computer Vision in Manufacturing 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 Computer Vision in Manufacturing Market

A detailed market share analysis in the Computer Vision in Manufacturing 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 Computer Vision in Manufacturing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Computer Vision in Manufacturing 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 Computer Vision in Manufacturing Market

A strategic analysis of the Computer Vision in Manufacturing 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 Computer Vision in Manufacturing Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Artemis Vision, Basler AG, Baumer Holding AG, Clarifai, Inc., Cognex Corporation, Fastec Imaging Corporation, Fujitsu Limited, General Electric Company, Google LLC by Alphabet, Inc., Heliovision, IFM Electronic GmbH, Industrial Video & Control Co., Intel Corporation, International Business Machines Corporation, ISRA VISION GmbH, Keyence Corporation, Microsoft Corporation, ML2Grow, Nexus Integra, NVIDIA Corporation, OMRON Corporation, Oracle Corporation, Sick AG, Siemens AG, Softengi, Teledyne Technologies Incorporated, Xometry Europe GmbH, and Zebra Technologies Corporation.

Market Segmentation & Coverage

This research report categorizes the Computer Vision in Manufacturing Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Product, market is studied across PC-based Machine Vision Systems and Smart Camera-Based Vision Systems.
• Based on Component, market is studied across Hardware and Software. The Hardware is further studied across Cameras, Frame Grabbers, Image Sensors, LED Lighting, Optics, and Processors.
• Based on Application, market is studied across Identification, Measurement, Positioning & Guidance, Predictive Maintenance, and Quality Assurance & Inspection.
• 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. Continuous expansion of the manufacturing industry across economies
    • 5.1.1.2. Increasing government and private investments towards supply chain optimization
    • 5.1.1.3. Growing adoption of Industry 4.0 with supportive policies
  • 5.1.2. Restraints
    • 5.1.2.1. High cost of technology deployment and shortage of trained professionals
  • 5.1.3. Opportunities
    • 5.1.3.1. Improvements in computer vision technologies with research and development efforts
    • 5.1.3.2. Emergence of advanced robotics technology and investment in smart factories
  • 5.1.4. Challenges
    • 5.1.4.1. Limited availability of high-quality datasets for effective operation of computer vision system
• 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. Computer Vision in Manufacturing Market, by Product

• 6.1. Introduction
• 6.2. PC-based Machine Vision Systems
• 6.3. Smart Camera-Based Vision Systems

7. Computer Vision in Manufacturing Market, by Component

• 7.1. Introduction
• 7.2. Hardware
  • 7.2.1. Cameras
  • 7.2.2. Frame Grabbers
  • 7.2.3. Image Sensors
  • 7.2.4. LED Lighting
  • 7.2.5. Optics
  • 7.2.6. Processors
• 7.3. Software

8. Computer Vision in Manufacturing Market, by Application

• 8.1. Introduction
• 8.2. Identification
• 8.3. Measurement
• 8.4. Positioning & Guidance
• 8.5. Predictive Maintenance
• 8.6. Quality Assurance & Inspection

9. Americas Computer Vision in Manufacturing Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Computer Vision in Manufacturing Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Computer Vision in Manufacturing Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
  • 12.3.1. Cognex : Launches Embedded AI-Based Vision System with Applications for OEMs in Life Sciences
  • 12.3.2. Landing AI's Visual Prompting Makes Building and Deploying Computer Vision Easy with NVIDIA Metropolis
  • 12.3.3. TKH Group acquires Machine Vision company Euresys
  • 12.3.4. Zebra Technologies to Acquire Matrox Imaging, Broadening Its Portfolio of Machine Vision Solutions
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. ABB Ltd.
• 2. Artemis Vision
• 3. Basler AG
• 4. Baumer Holding AG
• 5. Clarifai, Inc.
• 6. Cognex Corporation
• 7. Fastec Imaging Corporation
• 8. Fujitsu Limited
• 9. General Electric Company
• 10. Google LLC by Alphabet, Inc.
• 11. Heliovision
• 12. IFM Electronic GmbH
• 13. Industrial Video & Control Co.
• 14. Intel Corporation
• 15. International Business Machines Corporation
• 16. ISRA VISION GmbH
• 17. Keyence Corporation
• 18. Microsoft Corporation
• 19. ML2Grow
• 20. Nexus Integra
• 21. NVIDIA Corporation
• 22. OMRON Corporation
• 23. Oracle Corporation
• 24. Sick AG
• 25. Siemens AG
• 26. Softengi
• 27. Teledyne Technologies Incorporated
• 28. Xometry Europe GmbH
• 29. Zebra Technologies Corporation