머신비전 시장 보고서 : 제품별, 구성요소별, 용도별, 산업별, 지역별(2025-2033년)

The global machine vision market size reached USD 14.1 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 26.7 Billion by 2033, exhibiting a growth rate (CAGR) of 6.97% during 2025-2033. The increasing demand for automation and quality control in manufacturing industries, numerous advancements in artificial intelligence and deep learning algorithms, and the rising need for efficient inspection are some of the major factors propelling the market.

Machine vision, also known as computer vision, is a field of artificial intelligence (AI) and image processing that enables machines, typically computers, to interpret and understand visual information from the world. It involves the development of algorithms and techniques that allow machines to analyze, process, and extract meaningful insights from images or videos. Machine vision systems utilize cameras or other imaging devices to capture visual data and then use various computational methods to detect patterns, recognize objects, track movements, and perform tasks that require visual understanding. As a result, machine vision technology finds applications in diverse industries, such as robotics, autonomous vehicles, quality control, and medical imaging.

The rising adoption of machine vision systems due to the increasing demand for automation and quality control across industries, including manufacturing, automotive, electronics, and pharmaceuticals, will stimulate the growth of the market during the forecast period. These systems enhance production efficiency, reduce errors, and ensure consistent product quality. Moreover, the advent of artificial intelligence (AI) and deep learning technologies that empower machine vision to achieve greater accuracy and versatility in image analysis and pattern recognition tasks has accelerated the product adoption rate. Furthermore, the widespread integration of machine vision for real-time monitoring and threat detection owing to the escalating need for safety and surveillance in various applications, such as smart cities, transportation, and healthcare, is propelling the market growth. Additionally, the decreasing costs of cameras, sensors, and processing hardware that makes machine vision solutions more affordable and accessible to a broader range of businesses has catalyzed the market growth.

Machine Vision Market Trends/Drivers:

Advancements in artificial intelligence and deep learning

The continuous advancements in artificial intelligence (AI) and deep learning have significantly boosted the capabilities of machine vision systems. AI algorithms, especially deep learning techniques like convolutional neural networks (CNNs), have revolutionized image processing and pattern recognition. With the ability to learn from vast datasets, machine vision systems can now accurately identify and categorize objects, faces, and scenes. This progress has led to remarkable improvements in applications such as facial recognition, autonomous vehicles, medical imaging, and security surveillance. As AI continues to evolve, machine vision is expected to become more sophisticated, adaptable, and capable of tackling even more complex visual challenges, further driving growth and innovation in the machine vision landscape.

Advent of Industry 4.0 and automation

The advent of Industry 4.0 and the widespread adoption of automation across different industries represent the major factors fueling the market growth.. In the era of smart manufacturing, businesses strive to optimize their production processes, ensure consistent product quality, and minimize defects. Machine vision technology plays a crucial role in achieving these objectives by providing automated inspection, precise defect detection, and real-time quality control throughout the manufacturing workflow. By integrating machine vision with robotic systems and the Internet of Things (IoT) devices, companies can streamline operations, decrease human errors, and enhance overall efficiency. The relentless pursuit of improved productivity and reduced operational costs continues to propel the demand for machine vision solutions in the industrial sector.

Expansion of applications and industry verticals

Machine vision's versatility has led to its widespread adoption in an expanding array of applications and industry verticals. Beyond its traditional use in manufacturing, machine vision now finds applications in diverse sectors such as agriculture, healthcare, retail, and entertainment. In the agriculture industry, it aids in crop monitoring, yield prediction, and precision farming. In healthcare, machine vision assists with medical diagnostics, image analysis, and robotic-assisted surgeries. In the retail sector, it facilitates cashier-less checkout systems, inventory management, and customer analytics. Furthermore, machine vision is increasingly being employed in entertainment and gaming for gesture recognition and augmented reality (AR) experiences. The technology's ability to enhance processes, provide valuable insights, and improve decision-making across various domains will stimulate the growth of the market for machine vision.

Machine Vision Industry Segmentation:

Breakup by Product:

• Vision Systems
• Cameras
• Others

Vision systems dominate the market

Vision systems, also known as machine vision systems, are sophisticated technologies that enable machines to perceive and interpret visual information from the surrounding environment. These systems consist of cameras or other imaging devices, image processing software, and advanced algorithms that analyze and extract meaningful data from images or videos. Vision systems can perform various tasks, including object recognition, defect detection, measurement, sorting, and tracking. By providing machines with the ability to "see" and understand the world, vision systems aid in revolutionizing industries across the board.

Furthermore, they enhance automation and quality control in manufacturing, optimize processes in logistics and packaging, improve medical diagnostics and healthcare, and bolster security and surveillance systems. The increasing demand for intelligent, data-driven solutions to boost productivity, accuracy, and efficiency will propel the growth of the market as vision systems become indispensable tools for businesses across diverse sectors.

Breakup by Component:

• Hardware
• Software

Hardware holds the largest share in the market

Hardware refers to the physical components and devices used to capture, process, and transmit visual data. It typically includes cameras, lenses, image sensors, lighting systems, frame grabbers, processing units (such as GPUs or specialized vision processors), and communication interfaces. These hardware components form the foundation of machine vision systems, enabling the acquisition of visual information from the environment. The performance, accuracy, and capabilities of the hardware directly impact the overall effectiveness and efficiency of machine vision applications.

As hardware technology advances, with improvements in sensor resolution, faster processing speeds, and higher data throughput, machine vision systems become more powerful, versatile, and accessible. Upgraded hardware allows real-time processing, higher-quality imaging, and more complex algorithms, which in turn favors the expansion of machine vision into new industries and applications, making it a major driving force behind the growth of the market.

Breakup by Application:

• Positioning
• Identification
• Verification
• Measurement
• Flaw Detection
• Others

Flaw detection represents the leading application segment

Flaw detection refers to the process of identifying defects, imperfections, or abnormalities in products or materials during manufacturing or quality control processes. Machine vision systems use advanced imaging techniques and algorithms to analyze visual data and compare it against predefined standards to detect flaws accurately and efficiently. Flaw detection plays a crucial role in ensuring product quality, reducing waste, and maintaining consistent standards in various industries such as manufacturing, automotive, electronics, and pharmaceuticals. As industries increasingly prioritize quality control and automation, the demand for reliable flaw detection solutions has grown significantly. Machine vision's ability to provide fast, non-destructive, and precise flaw detection has become a driving force behind the adoption of machine vision technology. As the market recognizes the potential of machine vision in flaw detection to optimize production processes, enhance product reliability, and reduce costs, its growth and integration across industries continue to accelerate.

Breakup by Industry:

• Electronics and Semiconductor
• Automotive
• Medical and Pharmaceutical
• Food, Packaging and Printing
• Security and Surveillance
• Intelligent Traffic System
• Others

Electronics and semiconductor account for the majority of the share in the market

The electronics and semiconductor industry significantly contributes to the market growth due to its rigorous demand for high-quality production and precision manufacturing processes. In this industry, the miniaturization of components and the complexity of integrated circuits require meticulous inspection and defect detection at microscopic levels. Machine vision systems offer a reliable and efficient solution for inspecting semiconductor wafers, PCBs, electronic components, and assembly processes. They ensure consistent product quality, reduce defects, and improve overall manufacturing efficiency. As technological advancements continue to push the boundaries of electronics and semiconductors, the need for advanced machine vision solutions becomes even more critical. The ability of machine vision to perform high-speed, accurate inspection and analysis enables electronics and semiconductor manufacturers to stay competitive and meet the ever-increasing demands for quality and innovation. Therefore, the growth of the electronics and semiconductor industry goes hand in hand with the expansion of the machine vision market.

Breakup by Region:

• Asia Pacific
• Europe
• North America
• Middle East and Africa
• Latin America

Asia Pacific exhibits a clear dominance in the market

The report has also provided a comprehensive analysis of all the major regional markets, which include North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. According to the report, Asia Pacific accounted for the largest market share.

Asia Pacific is a significant driving force behind the growth of the machine vision market due to several key factors. Firstly, the region's thriving manufacturing industries, particularly in countries like China, Japan, South Korea, and India, are increasingly adopting automation and robotics to improve productivity and product quality. Machine vision plays a vital role in these processes by providing precise inspection, defect detection, and assembly verification. Secondly, the rising demand for consumer electronics, automotive, and semiconductor products in the Asia Pacific region fuels the need for stringent quality control, which further boosts the adoption of machine vision systems.

Additionally, the increasing focus on industrial automation, Industry 4.0 initiatives, and smart manufacturing practices in the region drive the integration of machine vision technologies to optimize production processes and enhance efficiency. The rapid technological advancements and the presence of major machine vision solution providers in Asia Pacific also contribute to its driving role in the expansion of the global machine vision industry.

Competitive Landscape:

The market is experiencing a lower-than-anticipated demand compared to pre-pandemic levels. However, this is likely to witness a paradigm shift over the next decade with the growing integration of machine vision with edge computing and IoT devices, enabling real-time analysis and decision-making at the edge of networks, leading to reduced latency and improved responsiveness in various applications. Additionally, key players are developing 3D machine vision technologies that enable precise depth perception and object reconstruction, revolutionizing applications such as robot guidance and augmented reality. Furthermore, ongoing advancements in multispectral and hyperspectral imaging have enhanced the ability to capture and analyze data beyond the visible spectrum, leading to new possibilities in fields such as precision agriculture, medical diagnostics, and materials inspection. We also expect the market to witness new entrants, consolidation of portfolio and increased collaborations among key players to drive healthy competition within the machine vision domain.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

• Cognex Corporation
• Basler AG
• Omron Corporation
• National Instruments Corporation
• Keyence Corporation
• Sony Corporation
• Teledyne Technologies, Inc.
• Texas Instruments, Inc,
• Allied Vision Technologies GmbH
• Intel Corporation
• Baumer Optronic GmbH
• Jai A/S

Key Questions Answered in This Report

• 1.What was the size of the global machine vision market in 2024?
• 2.What is the expected growth rate of the global machine vision market during 2025-2033?
• 3.What are the key factors driving the global machine vision market?
• 4.What has been the impact of COVID-19 on the global machine vision market?
• 5.What is the breakup of the global machine vision market based on the product?
• 6.What is the breakup of the global machine vision market based on the component?
• 7.What is the breakup of the global machine vision market based on the application?
• 8.What is the breakup of the global machine vision market based on the industry?
• 9.What are the key regions in the global machine vision market?
• 10.Who are the key players/companies in the global machine vision market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Machine Vision Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Breakup by Product
• 5.5 Market Breakup by Component
• 5.6 Market Breakup by Application
• 5.7 Market Breakup by Industry
• 5.8 Market Breakup by Region
• 5.9 Market Forecast
• 5.10 SWOT Analysis
  • 5.10.1 Overview
  • 5.10.2 Strengths
  • 5.10.3 Weaknesses
  • 5.10.4 Opportunities
  • 5.10.5 Threats
• 5.11 Value Chain Analysis
• 5.12 Porters Five Forces Analysis
  • 5.12.1 Overview
  • 5.12.2 Bargaining Power of Buyers
  • 5.12.3 Bargaining Power of Suppliers
  • 5.12.4 Degree of Competition
  • 5.12.5 Threat of New Entrants
  • 5.12.6 Threat of Substitutes
• 5.13 Price Analysis

6 Market Breakup by Product

• 6.1 Vision Systems
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Cameras
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast
• 6.3 Others
  • 6.3.1 Market Trends
  • 6.3.2 Market Forecast

7 Market Breakup by Component

• 7.1 Hardware
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Software
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Application

• 8.1 Positioning
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Identification
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Verification
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast
• 8.4 Measurement
  • 8.4.1 Market Trends
  • 8.4.2 Market Forecast
• 8.5 Flaw Detection
  • 8.5.1 Market Trends
  • 8.5.2 Market Forecast
• 8.6 Others
  • 8.6.1 Market Trends
  • 8.6.2 Market Forecast

9 Market Breakup by Industry

• 9.1 Electronics and Semiconductor
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Automotive
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast
• 9.3 Medical and Pharmaceutical
  • 9.3.1 Market Trends
  • 9.3.2 Market Forecast
• 9.4 Food, Packaging and Printing
  • 9.4.1 Market Trends
  • 9.4.2 Market Forecast
• 9.5 Security and Surveillance
  • 9.5.1 Market Trends
  • 9.5.2 Market Forecast
• 9.6 Intelligent Traffic System
  • 9.6.1 Market Trends
  • 9.6.2 Market Forecast
• 9.7 Others
  • 9.7.1 Market Trends
  • 9.7.2 Market Forecast

10 Market Breakup by Region

• 10.1 Asia Pacific
  • 10.1.1 Market Trends
  • 10.1.2 Market Forecast
• 10.2 Europe
  • 10.2.1 Market Trends
  • 10.2.2 Market Forecast
• 10.3 North America
  • 10.3.1 Market Trends
  • 10.3.2 Market Forecast
• 10.4 Middle East and Africa
  • 10.4.1 Market Trends
  • 10.4.2 Market Forecast
• 10.5 Latin America
  • 10.5.1 Market Trends
  • 10.5.2 Market Forecast

11 Competitive Landscape

• 11.1 Market Structure
• 11.2 Key Players
• 11.3 Profiles of Key Players
  • 11.3.1 Cognex Corporation
  • 11.3.2 Basler AG
  • 11.3.3 Omron Corporation
  • 11.3.4 National Instruments Corporation
  • 11.3.5 Keyence Corporation
  • 11.3.6 Sony Corporation
  • 11.3.7 Teledyne Technologies, Inc.
  • 11.3.8 Texas Instruments, Inc
  • 11.3.9 Allied Vision Technologies GmbH
  • 11.3.10 Intel Corporation
  • 11.3.11 Baumer Optronic GmbH
  • 11.3.12 Jai A/S