With a CAGR of 8.3%, the worldwide machine vision market is expected to rise from USD 15.83 billion in 2025 to USD 23.63 billion by 2030. The manufacturing sector is witnessing a new wave of technological revolution, boosting the adoption of artificial intelligence (AI) in manufacturing and non-manufacturing applications. AI-based solutions are being adopted in manufacturing facilities to improve productivity by maximizing asset utilization, minimizing downtime, and improving machine efficiency.
Scope of the Report
Years Considered for the Study
2020-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
Value (USD Million)
Segments
By Component, Type, Deployment, Vision Type and Region
Regions covered
North America, Europe, APAC, RoW
"Optics segment to secure significant market share during forecast period"
A camera lens is an optical lens, or an assembly of lenses used in conjunction with a camera body, with a mechanism to capture images of objects. The images can be captured on a photographic film or other media capable of storing an image chemically or electronically. The lens delivers the captured image through the image sensor present in the camera to the end user. The two main types of lenses used in machine vision systems are fixed and interchangeable lenses. As part of a standalone vision system, the fixed lens could be a mechanical or liquid lens, which can focus automatically. Typically, autofocus lenses have a fixed field of view. Except for the detailed design and construction of lenses, there are no major differences between a lens used for a still camera, a video camera, a telescope, a microscope, or other apparatus.
"Automotive segment to account for third-largest market share during forecast period"
The automotive industry plays a vital role in the manufacturing sector. Machine vision technology has a range of applications in the automotive industry, such as gauging and inspecting sealant beads, error-proofing thread presence, verifying piston assembly, inspecting rivet staking heights, inspecting dashboard graphics, verifying airbag assembly, color sorting door handles, identifying tires and wheels, error-proofing component assembly, reading 2D matrix codes, as well as for robotic guidance and assembly. Machine vision systems are used to detect defects and align and assemble parts. These systems are also used for painting and robotics guidance. They improve accuracy in critical activities, including bin picking and positioning parts, such as doors and panels, for assembly. Due to the shortage of skilled laborers, automobile companies focus more on automation in their production processes. The automotive industry is an early adopter of machine vision technology in production.
"North America to account for second-largest market share during forecast period"
North America is estimated to account for the second-largest share of the global machine vision market, primarily due to its strong presence of the healthcare sector, where machine vision systems are widely adopted. The healthcare sector in the region is characterized by stringent regulatory mandates, standard protocols, and comprehensive quality controls. There is an increasing integration of machine vision with artificial intelligence (AI) and edge computing in the region, which enables real-time decision-making in production floors. This development helps manufacturers to cope with labor shortages by simplifying quality control.
Breakdown of primaries
A variety of executives from key organizations operating in the machine vision market were interviewed in-depth, including CEOs, marketing directors, and innovation and technology directors.
By Company Type: Tier 1 -40%, Tier 2 - 25%, and Tier 3 - 35%
By Designation: C-level Executives - 48%, Directors - 33%, and Others - 19%
By Region: North America - 35%, Europe - 18%, Asia Pacific - 40%, and RoW - 7%
Major players profiled in this report include Cognex Corporation (US), KEYENCE CORPORATION (Japan), Teledyne Technologies Inc. (US), Basler AG (Germany), Omron Corporation (Japan), and others. These leading companies possess a wide portfolio of products, ensuring a prominent presence in established as well as emerging markets.
The study provides a detailed competitive analysis of these key players in the machine vision market, presenting their company profiles, most recent developments, and key market strategies.
Key Market Players
Key players operating in the machine vision market are as follows:
1. Cognex Corporation (US)
2. Basler AG (Germany)
3. KEYENCE CORPORATION (Japan)
4. Teledyne Technologies Inc. (US)
5. TKH (Netherlands)
6. Omron Corporation (Japan)
7. SICK AG (Germany)
8. Sony Group Corporation (Japan)
9. Texas Instruments Incorporated (US)
10. Atlas Copco AB (Sweden)
11. AMETEK.Inc. (US)
12. Emerson Electric Co. (US)
13. Canon Inc. (Japan)
14. Zebra Technologies Corp. (US)
15. Qualitas Technologies (India)
16. Baumer (Switzerland)
17. Tordivel AS (Norway)
18. MVTec Software GmbH (Germany)
19. JAI A/S (Denmark)
20. Industrial Vision Systems (UK)
21. IVISYS (Sweden)
22. USS Vision LLC (US)
23. Optotune (Switzerland)
24. IDS Imaging Development Systems GmbH (Germany)
25. Intelgic Inc. (India)
Study Coverage
In this report, the machine vision market has been segmented based on application, vision type, deployment, component, system type, industry, and region. Application segments include quality assurance and inspection, positioning and guidance, measurement, identification, and predictive maintenance. Vision type segments include 1D vision system, 2D vision system, and 3D vision system. Deployment segments include general and robotic cell. Component segments include cameras, optics, frame grabbers, LED lighting, processors, other hardware components, and software. System type segments include PC based and smart camera-based machine vision systems. Industry segments include automotive, consumer products, electronics & semiconductors, printing, metals, food & beverages, logistics, healthcare, rubber & plastics, machinery, solar panel manufacturing, and other industries. The market has been segmented into four regions: North America, Asia Pacific, Europe, and RoW.
Key Benefits of Buying the Report
Analysis of key drivers (Increasing demand for quality assurance and automated inspection in the manufacturing industry, rising adoption of vision-guided robotic systems across multiple industries, growing emphasis on safety and improved product quality in the industrial sector), restraints (Cyber vulnerabilities in industrial robotic systems, lack of skilled workforce to operate machine vision systems in the manufacturing industry), opportunities (Rising implementation of machine vision systems in the food and beverage industry, government-backed initiatives aimed to support industrial automation, growing adoption of AI-powered systems across manufacturing and non-manufacturing sectors, emergence of compact smart cameras and processors, surging market demand for hybrid and EVs), and challenges (Complexities in integrating diverse machine vision components across application sites, lack of awareness and high cost associated with machine vision systems) influencing the growth of the machine vision market.
Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the machine vision market.
Market Development: Comprehensive information about lucrative markets-the report analyses the machine vision market across various regions.
Market Diversification: Exhaustive information about new products/services, untapped geographies, recent developments, and investments in the machine vision market.
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Cognex Corporation (US), KEYENCE CORPORATION (Japan), Teledyne Technologies Inc. (US), Basler AG (Germany), Omron Corporation (Japan), and others.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY AND PRIMARY RESEARCH
2.1.2 SECONDARY DATA
2.1.2.1 List of key secondary sources
2.1.2.2 Key data from secondary sources
2.1.3 PRIMARY DATA
2.1.3.1 List of primary interview participants
2.1.3.2 Key data from primary sources
2.1.3.3 Key industry insights
2.1.3.4 Breakdown of primaries
2.2 MARKET SIZE ESTIMATION METHODOLOGY
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to derive market size using bottom-up analysis (demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to derive market size using top-down analysis (supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN MACHINE VISION MARKET
4.2 MACHINE VISION MARKET, BY COMPONENT
4.3 MACHINE VISION MARKET, BY INDUSTRY
4.4 MACHINE VISION MARKET IN NORTH AMERICA, BY INDUSTRY AND COUNTRY
4.5 MACHINE VISION MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increasing demand for quality assurance and automated inspection in manufacturing industry
5.2.1.2 Rising adoption of vision-guided robotic systems across multiple industries
5.2.1.3 Growing emphasis on safety and improved product quality
5.2.1.4 Growing adoption of AI-powered systems across industries
5.2.2 RESTRAINTS
5.2.2.1 Lack of awareness and high cost associated with machine vision systems
5.2.3 OPPORTUNITIES
5.2.3.1 Rising adoption in food & beverage industry
5.2.3.2 Government-backed initiatives to support industrial automation
5.2.3.3 Emergence of compact smart cameras and processors
5.2.3.4 Surging demand for hybrid and EVs
5.2.4 CHALLENGES
5.2.4.1 Complexities in integrating diverse machine vision components with traditional systems
5.2.4.2 Cyber vulnerabilities in industrial robotic systems
5.2.4.3 Lack of skilled workforce to operate machine vision systems
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 PRICING ANALYSIS
5.4.1 INDICATIVE PRICING OF MACHINE VISION KEY COMPONENT (CAMERA), BY KEY PLAYERS, 2024
5.4.2 AVERAGE SELLING PRICE TREND OF MACHINE VISION HARDWARE COMPONENT, 2021-2024
5.4.3 AVERAGE SELLING PRICE TREND OF MACHINE VISION HARDWARE COMPONENT, BY REGION, 2021-2024
5.5 VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 Robotic vision
5.8.1.2 AI in machine vision
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 5G
5.8.2.2 Edge computing
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 Cloud computing
5.9 PATENT ANALYSIS
5.10 TRADE ANALYSIS
5.10.1 IMPORT SCENARIO (HS CODE 852580)
5.10.2 EXPORT SCENARIO (HS CODE 852580)
5.11 KEY CONFERENCES AND EVENTS, 2025-2026
5.12 CASE STUDY
5.12.1 PANPASS TECHNOLOGY CO., LTD. AND COGNEX CORPORATION TRANSFORM YUNMEN WINE GROUP'S TRACEABILITY THROUGH MACHINE VISION AND AI-BASED OCR
5.12.2 PRESCRIPTIVE DATA USES TELEDYNE FLIR'S MACHINE VISION SENSORS TO DELIVER ACCURATE OCCUPANCY DATA FOR SMART BUILDINGS
5.12.3 LEADING AUTOMOTIVE SUPPLIER IMPROVES INSPECTION EFFICIENCY WITH FUJIFILM'S 4D HIGH RESOLUTION MACHINE VISION LENSES
5.12.4 ADVANCED DIMENSIONAL AND QUALITY CONTROL WITH 3D MACHINE VISION AT SIDENOR STEEL MILL
5.13 REGULATORY LANDSCAPE
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.13.2 STANDARDS
5.14 PORTER'S FIVE FORCES ANALYSIS
5.14.1 THREAT OF NEW ENTRANTS
5.14.2 THREAT OF SUBSTITUTES
5.14.3 BARGAINING POWER OF SUPPLIERS
5.14.4 BARGAINING POWER OF BUYERS
5.14.5 INTENSITY OF COMPETITIVE RIVALRY
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.15.2 BUYING CRITERIA
5.16 IMPACT OF AI/GEN AI ON MACHINE VISION MARKET
5.16.1 INTRODUCTION
5.16.2 IMPACT OF AI/GEN AI ON KEY END-USE INDUSTRIES
5.16.2.1 Electronics & semiconductors
5.16.2.2 Food & beverages
5.16.3 AI USE CASES
5.16.4 FUTURE OF AI/GEN AI IN MACHINE VISION ECOSYSTEM
5.17 IMPACT OF 2025 US TARIFF ON MACHINE VISION MARKET
5.17.1 INTRODUCTION
5.17.2 KEY TARIFF RATES
5.17.3 PRICE IMPACT ANALYSIS
5.17.4 IMPACT ON COUNTRIES/REGIONS
5.17.4.1 US
5.17.4.2 Europe
5.17.4.3 Asia Pacific
5.17.5 IMPACT ON END-USE INDUSTRIES
6 APPLICATIONS OF MACHINE VISION
6.1 INTRODUCTION
6.2 QUALITY ASSURANCE AND INSPECTION
6.3 POSITIONING AND GUIDANCE
6.4 MEASUREMENT
6.5 IDENTIFICATION
6.6 PREDICTIVE MAINTENANCE
7 MACHINE VISION MARKET, BY COMPONENT
7.1 INTRODUCTION
7.2 CAMERAS
7.2.1 EMERGENCE OF 3D CAMERAS WITH HIGH-PRECISION VISION TO DRIVE MARKET
7.2.2 INTERFACE STANDARDS
7.2.2.1 USB 2.0
7.2.2.2 USB 3.0
7.2.2.3 Camera Link
7.2.2.4 Camera Link HS
7.2.2.5 GigE
7.2.2.6 10 GigE & 25 GigE bandwidth over GigE Vision
7.2.2.7 Others
7.2.3 IMAGING SPECTRUM
7.2.3.1 Visible light
7.2.3.2 Visible + IR/IR
7.2.4 FRAME RATE
7.2.4.1 Less than 25 frames per second
7.2.4.2 25-125 frames per second
7.2.4.3 More than 125 frames per second
7.2.5 FORMAT
7.2.5.1 Line scan
7.2.5.2 Area scan
7.2.6 SENSOR
7.2.6.1 Complementary Metal Oxide Semiconductor (CMOS)
7.2.6.2 Charged-Coupled Device (CCD)
7.3 FRAME GRABBERS
7.3.1 INCREASING ADOPTION IN HIGH-SPEED AND LARGE-SCALE MACHINE VISION SYSTEMS TO DRIVE MARKET
7.4 LED LIGHTING
7.4.1 INCREASING ADOPTION OF STRUCTURED LIGHTING SOLUTIONS TO FUEL DEMAND
7.5 OPTICS
7.5.1 GROWING INTEGRATION WITH CAMERA BODIES FOR OBJECT IMAGE CAPTURE TO FUEL DEMAND
7.6 PROCESSORS
7.6.1 ADOPTION OF ADVANCED VISION SYSTEMS FUELING DEMAND FOR HIGH-PERFORMANCE PROCESSORS
7.6.2 FIELD-PROGRAMMABLE GATE ARRAY (FPGA)
7.6.3 DIGITAL SIGNAL PROCESSOR (DSP)
7.6.4 MICROCONTROLLER AND MICROPROCESSOR
7.6.5 VISION PROCESSING UNIT
7.7 OTHER HARDWARE COMPONENTS
7.7.1 NEED TO ENHANCE SYSTEM RELIABILITY AND PERFORMANCE TO FUEL SEGMENTAL GROWTH
7.8 SOFTWARE
7.8.1 AI-BASED MACHINE VISION SOFTWARE
8 MACHINE VISION MARKET, BY VISION TYPE
8.1 INTRODUCTION
8.2 1D VISION SYSTEMS
8.2.1 APPLICATION IN PRECISE LINEAR INSPECTION IN MANUFACTURING TO DRIVE DEMAND
8.3 2D VISION SYSTEMS
8.3.1 ADVANCEMENTS IN EMBEDDED VISION AND SMART CAMERA TECHNOLOGIES TO SUPPORT MARKET GROWTH
8.4 3D VISION SYSTEMS
8.4.1 RISING ADOPTION IN DEPTH ANALYSIS AND SURFACE INSPECTION TO FUEL DEMAND
9 MACHINE VISION MARKET, BY DEPLOYMENT
9.1 INTRODUCTION
9.2 GENERAL
9.2.1 RISING DEMAND FOR AUTOMATED INSPECTIONS TO DRIVE MARKET GROWTH
9.3 ROBOTIC CELL
9.3.1 RISING AUTOMATION AND TECHNOLOGICAL ADVANCEMENTS TO PROPEL MACHINE VISION ADOPTION
10 MACHINE VISION MARKET, BY SYSTEM TYPE
10.1 INTRODUCTION
10.2 PC-BASED
10.2.1 ADVANCED PROCESSING WITH MULTI-CAMERA SUPPORT TO DRIVE ADOPTION OF PC-BASED VISION SYSTEMS
10.3 SMART CAMERA-BASED
10.3.1 RISING ADOPTION OF SMART CAMERA IN IMAGING AND SECURITY APPLICATIONS TO DRIVE MARKET
11 MACHINE VISION MARKET, BY INDUSTRY
11.1 INTRODUCTION
11.2 AUTOMOTIVE
11.2.1 NEED FOR ENHANCING ACCURACY AND PRODUCTIVITY TO INCREASE ADOPTION
11.3 ELECTRONICS & SEMICONDUCTORS
11.3.1 RISING NEED TO IMPROVE ELECTRONIC MANUFACTURING BY IDENTIFYING DEFECTS AND ENHANCING SEMICONDUCTOR PRODUCTION
11.4 CONSUMER PRODUCTS
11.4.1 GROWING DEMAND FOR AUTOMATED INSPECTION TO IMPROVE ELECTRONIC ASSEMBLY TO DRIVE MARKET
11.5 METALS
11.5.1 SHORTAGE OF SKILLED LABOR FUELING ADOPTION OF MACHINE VISION SYSTEMS TO BOOST PRODUCT QUALITY
11.6 HEALTHCARE
11.6.1 STRINGENT GOVERNMENT REGULATION AND GROWING NEED TO COMBAT COUNTERFEIT PRODUCTS TO DRIVE MARKET
11.7 FOOD & BEVERAGES
11.7.1 FOOD
11.7.1.1 Need to reduce labor cost and enhance food processing fueling adoption
11.7.2 BEVERAGES
11.7.2.1 Need to ensure quality and hygiene in beverage production to fuel market growth
11.8 RUBBER & PLASTICS
11.8.1 INCREASING CONSUMPTION OF PLASTICS IN VARIOUS INDUSTRIAL SECTORS TO SUPPORT MARKET GROWTH
11.9 PRINTING
11.9.1 MACHINE VISION SYSTEMS INCREASINGLY USED TO MAINTAIN QUALITY IN PRINTING OPERATIONS
11.10 MACHINERY
11.10.1 GROWING NEED TO ENHANCE MACHINERY PERFORMANCE AND SAFETY TO FUEL DEMAND
11.11 SOLAR PANEL MANUFACTURING
11.11.1 NEED FOR INCREASED PRODUCTION AND QUALITY OF SOLAR PANELS TO BOOST MARKET GROWTH
11.12 LOGISTICS
11.12.1 GROWING DEMAND FOR AUTOMATED SORTING AND TRACKING TO DRIVE MARKET
11.13 OTHER INDUSTRIES
11.13.1 INCREASING ADOPTION OF MACHINE VISION FOR DEFECT DETECTION AND QUALITY CONTROL TO SUPPORT MARKET GROWTH
12 MACHINE VISION MARKET, BY REGION
12.1 INTRODUCTION
12.2 NORTH AMERICA
12.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
12.2.2 US
12.2.2.1 Expanding role of machine vision in healthcare and automotive applications to drive market
12.2.3 CANADA
12.2.3.1 Increasing adoption in automotive, electronics, and healthcare industries to boost demand
12.2.4 MEXICO
12.2.4.1 Growing emphasis on high-quality standards and operational efficiency to fuel adoption
12.3 EUROPE
12.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
12.3.2 GERMANY
12.3.2.1 Increasing adoption to enhance operational efficiency and precision in industrial applications to drive market
12.3.3 UK
12.3.3.1 Rising adoption in automotive and manufacturing sectors to fuel market growth
12.3.4 FRANCE
12.3.4.1 Growth in electric vehicle market and portable electronics driving machine vision adoption
12.3.5 ITALY
12.3.5.1 Government initiatives driving adoption of advanced manufacturing technologies
12.3.6 SPAIN
12.3.6.1 Growth of consumer electronics and pharmaceutical industries fueling machine vision adoption
12.3.7 NETHERLANDS
12.3.7.1 Rising adoption in logistics, food processing, and electronics sectors to drive market
12.3.8 SWITZERLAND
12.3.8.1 Increased integration of machine vision in precision manufacturing and pharmaceutical automation to boost market
12.3.9 NORDICS
12.3.9.1 Strong push for industrial automation fueling demand across manufacturing and energy sectors
12.3.10 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
12.4.2 CHINA
12.4.2.1 Expanding deployment of machine vision systems for higher productivity and quality enhancement
12.4.3 JAPAN
12.4.3.1 Increasing adoption in consumer electronics sector to boost market growth
12.4.4 SOUTH KOREA
12.4.4.1 Adoption of machine vision systems expanding in key sectors to ensure quality compliance
12.4.5 INDIA
12.4.5.1 Government initiatives driving factory automation growth
12.4.6 INDONESIA
12.4.6.1 Emerging industrial base and rising automation needs driving machine vision adoption
12.4.7 SINGAPORE
12.4.7.1 Technological leadership and advanced infrastructure supporting market growth
12.4.8 AUSTRALIA
12.4.8.1 Expanding applications in food & beverages and electronics industries to drive demand
12.4.9 REST OF ASIA PACIFIC
12.5 ROW
12.5.1 MACROECONOMIC OUTLOOK FOR ROW
12.5.2 MIDDLE EAST
12.5.2.1 Saudi Arabia
12.5.2.1.1 Vision 2030 reforms fueling demand for industrial automation and machine vision systems
12.5.2.2 UAE
12.5.2.2.1 Rapid digital transformation and smart factory initiatives to fuel market growth
12.5.2.3 Bahrain
12.5.2.3.1 Increasing investment in smart manufacturing technologies to drive machine vision adoption
12.5.2.4 Kuwait
12.5.2.4.1 Rising implementation of smart factories accelerating demand for machine vision technologies
12.5.2.5 Oman
12.5.2.5.1 Strategic focus on industrial modernization fostering machine vision system adoption
12.5.2.6 Qatar
12.5.2.6.1 Strategic focus on automation and vision technologies to enhance industrial capabilities