세계의 머신 비전 시장 : 부품별, 제품별, 기술별, 용도별, 최종 이용 산업별 예측(2025-2030년)

The Machine Vision Market was valued at USD 13.96 billion in 2023, expected to reach USD 15.04 billion in 2024, and is projected to grow at a CAGR of 8.53%, to USD 24.78 billion by 2030.

Machine vision (MV) encompasses technologies and methods used to provide image-based automated inspection and analysis critical for applications like quality control, sorting, robot guidance, and more in industries such as manufacturing, automotive, consumer electronics, and healthcare. The necessity of MV arises from its ability to perform repetitive tasks with high accuracy, speed, and consistency, minimizing human error and operational costs. Its application spans varied industries where precision and accuracy are quintessential; from enabling self-driving cars and enhancing production lines to revolutionizing medical diagnostics with precise image analysis, its potential is vast. The growing need for efficiency, precision, and automation across industries is driving significant market growth, with advancements in artificial intelligence and machine learning further enhancing MV capabilities. Key growth factors include a surge in demand for smart factories equipped with Industry 4.0 technologies, coupled with decreasing hardware costs and enhanced computing abilities. However, challenges such as high initial investment costs, technical complexities, and a lack of standardization persist. Data privacy concerns, particularly in areas involving surveillance, further add to these challenges. Opportunities for growth lie in innovations like edge computing that reduce latency and improve real-time processing, further broadening MV's application scope. Additionally, industries are pushing toward developing MV systems with advanced machine learning algorithms for better defect detection and predictive maintenance. Companies are advised to focus on cross-industry collaborations and R&D investments in AI-driven MV systems to reap substantial benefits. To stay competitive, businesses should align themselves with evolving standards and regulatory requirements to address privacy and data security concerns while leveraging new technological trends. The market remains dynamic, with constant technological advancements offering avenues for increased efficiency and novel applications.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Machine Vision Market

The Machine Vision 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 demand for automation in manufacturing processes
  • Growth in industrial applications along with enhanced demand for quality assurance
• Market Restraints
  • High initial and operational costs of implementing machine vision systems
• Market Opportunities
  • Development and integration of 3D vision technologies
  • Rise of edge computing along with advancements in AI and deep learning
• Market Challenges
  • Technical complexity, along with data privacy concerns

Porter's Five Forces: A Strategic Tool for Navigating the Machine Vision Market

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

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

A detailed market share analysis in the Machine Vision 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 Machine Vision Market

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

A strategic analysis of the Machine Vision 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 Machine Vision Market, highlighting leading vendors and their innovative profiles. These include Allied Vision Technologies GmbH, Ametek Inc., Basler AG, Baumer Holding AG, Cognex Corporation, Datalogic S.p.A., Euresys SA, FLIR Systems, Inc., IDS Imaging Development Systems GmbH, Intel Corporation, ISRA Vision AG, JAI A/S, Keyence Corporation, LMI Technologies Inc., Machine Vision Products, Inc., Microscan Systems, Inc., MVTec Software GmbH, National Instruments Corporation, Omron Corporation, Optotune AG, Sick AG, Sony Corporation, Stemmer Imaging AG, Teledyne Technologies Incorporated, The MathWorks, Inc., Tordivel AS, ZEISS International, and Zivid Labs AS.

Market Segmentation & Coverage

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

• Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Cameras, Frame Grabbers, Image Sensors, Led Lighting, Optics, and Processors. The Services is further studied across Consulting, Installation, and Maintenance. The Software is further studied across Image Processing Tools and Pattern Recognition Tools.
• Based on Product, market is studied across PC-based and Smart camera-based.
• Based on Technology, market is studied across One-dimensional (1D), Three-dimensional (3D), and Two-dimensional (2D).
• Based on Application, market is studied across Defect Detection & Quality Assurance, Guidance & Navigation, Measurement & Inspection, and Object Recognition.
• Based on End-use Industry, market is studied across Automotive, Consumer Electronics, Food & Packaging, Healthcare, Industrial Manufacturing, and Security & Surveillance.
• 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. Increasing demand for automation in manufacturing processes
    • 5.1.1.2. Growth in industrial applications along with enhanced demand for quality assurance
  • 5.1.2. Restraints
    • 5.1.2.1. High initial and operational costs of implementing machine vision systems
  • 5.1.3. Opportunities
    • 5.1.3.1. Development and integration of 3D vision technologies
    • 5.1.3.2. Rise of edge computing along with advancements in AI and deep learning
  • 5.1.4. Challenges
    • 5.1.4.1. Technical complexity, along with data privacy concerns
• 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. Machine Vision Market, by Component

• 6.1. Introduction
• 6.2. Hardware
  • 6.2.1. Cameras
  • 6.2.2. Frame Grabbers
  • 6.2.3. Image Sensors
  • 6.2.4. Led Lighting
  • 6.2.5. Optics
  • 6.2.6. Processors
• 6.3. Services
  • 6.3.1. Consulting
  • 6.3.2. Installation
  • 6.3.3. Maintenance
• 6.4. Software
  • 6.4.1. Image Processing Tools
  • 6.4.2. Pattern Recognition Tools

7. Machine Vision Market, by Product

• 7.1. Introduction
• 7.2. PC-based
• 7.3. Smart camera-based

8. Machine Vision Market, by Technology

• 8.1. Introduction
• 8.2. One-dimensional (1D)
• 8.3. Three-dimensional (3D)
• 8.4. Two-dimensional (2D)

9. Machine Vision Market, by Application

• 9.1. Introduction
• 9.2. Defect Detection & Quality Assurance
• 9.3. Guidance & Navigation
• 9.4. Measurement & Inspection
• 9.5. Object Recognition

10. Machine Vision Market, by End-use Industry

• 10.1. Introduction
• 10.2. Automotive
• 10.3. Consumer Electronics
• 10.4. Food & Packaging
• 10.5. Healthcare
• 10.6. Industrial Manufacturing
• 10.7. Security & Surveillance

11. Americas Machine Vision Market

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

12. Asia-Pacific Machine Vision 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 Machine Vision 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. OMNIVISION revolutionizes machine vision with new CMOS sensors enhancing industrial automation and ITS applications
  • 14.3.2. ITIS Holdings' acquisition of VITRONIC Group expands machine vision solutions across multiple sectors
  • 14.3.3. CGI's AI-driven machine vision, revolutionizing real-time IoT data analysis and monitoring
• 14.4. Strategy Analysis & Recommendation
  • 14.4.1. Ametek Inc.

Companies Mentioned

• 1. Allied Vision Technologies GmbH
• 2. Ametek Inc.
• 3. Basler AG
• 4. Baumer Holding AG
• 5. Cognex Corporation
• 6. Datalogic S.p.A.
• 7. Euresys SA
• 8. FLIR Systems, Inc.
• 9. IDS Imaging Development Systems GmbH
• 10. Intel Corporation
• 11. ISRA Vision AG
• 12. JAI A/S
• 13. Keyence Corporation
• 14. LMI Technologies Inc.
• 15. Machine Vision Products, Inc.
• 16. Microscan Systems, Inc.
• 17. MVTec Software GmbH
• 18. National Instruments Corporation
• 19. Omron Corporation
• 20. Optotune AG
• 21. Sick AG
• 22. Sony Corporation
• 23. Stemmer Imaging AG
• 24. Teledyne Technologies Incorporated
• 25. The MathWorks, Inc.
• 26. Tordivel AS
• 27. ZEISS International
• 28. Zivid Labs AS