At a CAGR of 8.7%, the global robotic vision market is expected to grow from USD 3.29 billion in 2025 to USD 4.99 billion in 2030. 3D robotic systems greatly benefit from 3D vision technology, which offers flexibility for various functions like bin picking, inspection, and measurement. This advanced technology can identify and locate objects based on their shape, allowing for reliable detection of objects with low contrast or complex geometries.
Scope of the Report
Years Considered for the Study
2021-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
Value (USD Billion)
Segments
By Type, Component, Industry, and Region
Regions covered
North America, Europe, APAC, RoW
As cameras improve in resolution and prices decrease, combined with new microprocessors capable of handling large data sets in real time, 3D vision is expanding the robotic vision market and becoming more attractive for robotic applications.
"2D vision systems will capture a prominent share of the robotic vision market"
A two-dimensional (2D) vision system uses a digital camera to capture an image and processes it into an x-y plane. 2D vision systems create flat, two-dimensional maps of reflected intensity or contrast, making lighting a crucial factor for these cameras. Usually mounted overhead, these systems look down on industrial robots and help in creating program paths for the robots. A 2D vision system captures the processed 2D image at various resolutions. The main advantage of a 2D system over a 3D system is that it is more economical and convenient. These systems are increasingly used in the food and beverage industry as well as in healthcare.
"Electronics & semiconductors will hold the second-largest market share in the robotic vision market, by industry, throughout the forecast period"
Robotic vision systems have the potential to transform production by increasing throughput, quality, and productivity in the electronics and semiconductors industry. Material handling and automated inspection are the most common applications of vision systems. These systems have revolutionized the inspection of electronic components, including semiconductors. Applications such as welding, packaging, and palletizing also rely on the high precision provided by robotic vision systems. Additionally, electronic chips and components are produced in various sizes, which requires micro-level precision in welding and palletizing.
"Industrial automation and growth concerns will position Europe as the third-largest market for robotic vision solutions"
The robotic vision market in Europe is growing as the region encompasses many active industries and companies. The European industry has strong technical and commercial expertise in the robotic vision sector in several Member States-especially France, Germany, Italy, Spain, Switzerland, the Netherlands, the Nordics, and the UK. It has developed skills for large manufacturing users. These strengths could now be redirected toward emerging robotic vision markets. Growth has also been seen in small and medium-sized enterprises (SMEs), creating a significant opportunity for the robotic vision market to expand. The European Machine Vision Association (EMVA) has supported the success of the machine vision industry in Europe and forecasts a positive outlook for this market. The EMVA continues to support robotic vision technology by offering more member benefits and serving as the voice of the machine vision community in Europe.
Breakdown of Primaries
Various executives from key organizations operating in the robotic vision market, including CEOs, marketing directors, and innovation and technology directors, were interviewed in-depth.
By Company Type: Tier 1 - 40%, Tier 2 - 35%, and Tier 3 - 25%
By Designation: Directors - 33%, C-level - 48%, and Others - 19%
By Region: North America - 35%, Europe - 18%, Asia Pacific - 40%, and RoW - 7%
Major players profiled in this report are Cognex Corporation (US), KEYENCE CORPORATION (Japan), Teledyne Technologies Inc. (US), Omron Corporation (Japan), FANUC CORPORATION (Japan), Basler AG (Germany), SICK AG (Germany), Atlas Copco AB (Sweden), Emerson Electric Co. (US), Zebra Technologies Corp. (US), Hexagon AB (Sweden), Advantech Co., Ltd.(Taiwan), ABB (Switzerland), Qualcomm Technologies, Inc. (US), Qualitas Technologies (India), Baumer (Switzerland), Tordivel AS (Norway), Optotune (Switzerland), MVTec Software Gmbh (Germany), Industrial Vision Systems (UK), IDS Imaging Development Systems GmbH (Germany), Wenglor ( Germany), Zivid (Norway), ADLINK Technology Inc. (Taiwan), and LMI TECHNOLOGIES INC.(Canada). These leading companies possess a broad portfolio of products and establish a prominent presence in established and emerging markets.
The study provides a detailed competitive analysis of these key players in the robotic vision market, presenting their company profiles, most recent developments, and key market strategies.
Research Coverage
This report segments the robotic vision market based on deployment (robotic guidance systems and robotic cells), detection algorithm (counter-based, correlation-based, feature extraction, and cloud of point), application (welding and soldering; material handling; packaging and palletizing; painting; assembling and disassembling; cutting, pressing, grinding, and deburring; measurement, inspection, and testing), type (2D and 3D vision systems) and industry (automotive, electronics & semiconductors, rubber & plastics, metals & machinery, logistics, food & beverages, healthcare, and other industries). The market has been segmented into four regions-North America, Asia Pacific, Europe, and the Rest of the World (RoW).
Reasons to Buy the Report
The report will assist leaders and new entrants in this market by providing estimates of revenue figures for the overall market and its subsegments. It will also help stakeholders understand the competitive landscape and gain insights to better position their businesses and develop effective go-to-market strategies. Additionally, the report offers insights into the robotic vision market's current dynamics and covers key market drivers, restraints, challenges, and opportunities.
Key Benefits of Buying the Report
Analysis of key drivers (increasing demand for automated robotic vision systems in quality inspection, growing adoption of 3D vision systems in industrial robotics, growing need for safety and high-quality products in industrial sector, rising adoption of smart cameras in robotic vision systems), restraints (high cost of installation, difficulty in accommodating a wide range of applications, limited awareness of robotic vision systems), opportunities (rising implementation of robotic vision systems in the food and beverage industry, government-driven programs to enhance industrial automation, incorporation of AI and deep learning technologies into robotic vision systems, personalization of robotic vision solutions), and challenges (challenges in producing robotic vision systems, configuring advanced inspection operations) influencing the growth of the robotic vision market
Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and product launches in the robotic vision market
Market Development: Comprehensive information about lucrative markets, including the analysis of the robotic vision market across varied regions
Market Diversification: Exhaustive information about new products/services, untapped geographies, recent developments, and investments in robotic vision solutions
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, including Cognex Corporation (US), KEYENCE CORPORATION (Japan), Teledyne Technologies Inc. (US), Omron Corporation (Japan), and FANUC CORPORATION (Japan)
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
2.6 RISK ANALYSIS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ROBOTIC VISION MARKET
4.2 ROBOTIC VISION MARKET, BY COMPONENT
4.3 ROBOTIC VISION MARKET, BY INDUSTRY
4.4 ROBOTIC VISION MARKET IN NORTH AMERICA, BY INDUSTRY AND COUNTRY
4.5 ROBOTIC VISION MARKET, BY GEOGRAPHY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rising emphasis on machine automation to enhance industrial operations
5.2.1.2 Growing adoption of 3D vision systems in industrial robotics
5.2.1.3 Increasing need for safe and high-quality products in industrial sectors
5.2.1.4 Rising integration of smart cameras into robotic systems
5.2.2 RESTRAINTS
5.2.2.1 High initial installation costs
5.2.2.2 Complexities in creating standard vision systems for different manufacturing applications
5.2.2.3 Limited awareness of robotic vision systems
5.2.3 OPPORTUNITIES
5.2.3.1 Rising implementation of robotic vision systems in food & beverages industry
5.2.3.2 Government-driven programs to enhance industrial automation
5.2.3.3 Incorporation of AI and deep learning technologies into robotic vision systems
5.2.3.4 Growing demand for personalized robotic vision systems
5.2.4 CHALLENGES
5.2.4.1 Complexities in integrating robots into vision systems
5.2.4.2 Issues related to complex inspections involving deviation and unpredictable defects
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 PRICING ANALYSIS
5.4.1 PRICING RANGE OF ROBOTIC VISION SYSTEMS OFFERED BY KEY PLAYERS, BY COMPONENT, 2024
5.4.2 AVERAGE SELLING PRICE TREND OF ROBOTIC VISION SYSTEMS, BY HARDWARE COMPONENT, 2021-2024
5.4.3 AVERAGE SELLING PRICE TREND OF ROBOTIC VISION HARDWARE COMPONENTS, 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 Artificial intelligence
5.8.1.2 Deep learning
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 Hyperspectral imaging
5.8.2.2 Edge computing
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 Cloud computing
5.8.3.2 5G
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 MWES DESIGNS KAWASAKI RS007L ROBOTS FITTED WITH VACUUM GRIPPERS TO HELP CLIENT REDUCE DEPENDENCE ON HUMAN LABOR
5.12.2 PRESCRIPTIVE DATA USES TELEDYNE FLIR'S 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 LENSES
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 ROBOTIC VISION MARKET
5.16.1 INTRODUCTION
5.16.2 IMPACT OF AI/GEN AI ON KEY 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 ROBOTIC VISION ECOSYSTEM
5.17 IMPACT OF 2025 US TARIFF ON ROBOTIC 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 INDUSTRIES
6 AREAS OF ROBOTIC VISION SYSTEM DEPLOYMENT
6.1 INTRODUCTION
6.2 ROBOTIC GUIDANCE SYSTEMS
6.3 ROBOTIC CELLS
7 DETECTION ALGORITHMS FOR ROBOTIC VISION SYSTEMS
7.1 INTRODUCTION
7.2 CONTOUR-BASED
7.3 CORRELATION-BASED
7.4 FEATURE EXTRACTION
7.5 CLOUD OF POINTS
8 ROBOTIC VISION MARKET, BY COMPONENT
8.1 INTRODUCTION
8.2 CAMERAS
8.2.1 BY FORMAT
8.2.1.1 Line scan
8.2.1.2 Area scan
8.2.2 BY SENSOR
8.2.2.1 CMOS
8.2.2.2 CCD
8.2.3 BY IMAGING SPECTRUM
8.2.3.1 Visible
8.2.3.1.1 Increasing use for discrete part inspection and other robotic vision applications to fuel segmental growth
8.2.3.2 Visible + IR
8.2.3.2.1 Rising application in large industrial sectors to contribute to segmental growth
8.3 LED LIGHTING SYSTEMS
8.3.1 BURGEONING DEMAND FOR STRUCTURED LIGHTING TO AUGMENT SEGMENTAL GROWTH
8.4 OPTICS
8.4.1 INCREASING INTEGRATION WITH CAMERAS FOR IMAGE ACQUISITION TO BOLSTER SEGMENTAL GROWTH
8.5 PROCESSORS & CONTROLLERS
8.5.1 HIGH COMPLEXITY IN VISION ALGORITHMS TO ACCELERATE SEGMENTAL GROWTH
8.5.2 FPGA
8.5.3 DSP
8.5.4 MICROCONTROLLERS & MICROPROCESSORS
8.5.5 VPU
8.6 FRAME GRABBERS
8.6.1 RISING INTEGRATION WITH DIGITAL CAMERAS TO ACHIEVE HIGH PROCESSING SPEEDS AND RESOLUTIONS TO DRIVE MARKET
8.7 OTHER HARDWARE COMPONENTS
8.8 SOFTWARE
8.8.1 FLEXIBILITY AND TRAIN CUSTOMIZED NEURAL NETWORKS TO EXPEDITE SEGMENTAL GROWTH
9 ROBOTIC VISION MARKET, BY TYPE
9.1 INTRODUCTION
9.2 2D VISION SYSTEMS
9.2.1 COST-EFFECTIVENESS AND CONVENIENT ATTRIBUTES TO BOOST SEGMENTAL GROWTH
9.3 3D VISION SYSTEMS
9.3.1 ADAPTABILITY AND FLEXIBILITY TO CHANGES TO ACCELERATE SEGMENTAL GROWTH
9.3.2 SINGLE- AND MULTI-CAMERA TRIANGULATION
9.3.3 STRUCTURED LIGHT
9.3.4 TIME-OF-FLIGHT (TOF)
9.3.5 STEREO VISION
9.3.6 LASER-BASED
10 ROBOTIC VISION APPLICATIONS
10.1 INTRODUCTION
10.2 WELDING & SOLDERING
10.3 MATERIAL HANDLING
10.4 PACKAGING & PALLETIZING
10.5 PAINTING
10.6 ASSEMBLING & DISASSEMBLING
10.7 CUTTING, PRESSING, GRINDING & DEBURRING
10.8 MEASUREMENT, INSPECTION & TESTING
11 ROBOTIC VISION MARKET, BY INDUSTRY
11.1 INTRODUCTION
11.2 AUTOMOTIVE
11.2.1 SHORTAGE OF SKILLED LABORERS AND LOW MANUFACTURING COSTS TO BOOST SEGMENTAL GROWTH
11.3 ELECTRONICS & SEMICONDUCTORS
11.3.1 DEMAND FOR ENHANCED QUALITY CONTROL AND OBJECT RECOGNITION TO DRIVE MARKET
11.4 RUBBER & PLASTICS
11.4.1 APPLICATION IN MATERIAL HANDLING AND INSPECTION TASKS TO BOOST DEMAND FOR ROBOTIC VISION SYSTEMS
11.5 METALS & MACHINERY
11.5.1 INTEGRATION OF ROBOTIC VISION SYSTEMS INTO MANUFACTURING SYSTEMS TO ENHANCE PRODUCTION QUALITY TO FUEL SEGMENTAL GROWTH
11.6 FOOD & BEVERAGES
11.6.1 FOCUS ON ENHANCING SANITATION AND MATERIAL HANDLING OPERATIONS TO ACCELERATE SEGMENTAL GROWTH
11.7 HEALTHCARE
11.7.1 REQUIREMENT FOR HIGH LEVEL OF SCRUTINY TO CONTRIBUTE TO SEGMENTAL GROWTH
11.8 LOGISTICS
11.8.1 NEED FOR FASTER, SMARTER, AND MORE RELIABLE OPERATIONS TO FUEL SEGMENTAL GROWTH
11.9 OTHER INDUSTRIES
12 ROBOTIC 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 Increasing need for improved product inspection and quality control in manufacturing sector to drive market
12.2.3 CANADA
12.2.3.1 Rising adoption of automated inspection and monitoring solutions to augment market growth
12.2.4 MEXICO
12.2.4.1 Growing emphasis on manufacturing automation to contribute to market growth
12.3 EUROPE
12.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
12.3.2 GERMANY
12.3.2.1 Rising vehicle production and factory operations to bolster market growth
12.3.3 UK
12.3.3.1 Increasing focus on improving product quality and minimizing waste in automotive sector to fuel market growth
12.3.4 FRANCE
12.3.4.1 Rising deployment of electric and hybrid vehicles to drive market
12.3.5 ITALY
12.3.5.1 Growing emphasis on factory automation to contribute to market growth
12.3.6 SPAIN
12.3.6.1 Increasing government incentives for purchasing EVs and HEVs to foster market growth
12.3.7 NETHERLANDS
12.3.7.1 Rising adoption in logistics and electronics sectors to expedite market growth
12.3.8 SWITZERLAND
12.3.8.1 High expertise in precision engineering and high-tech manufacturing to boost market growth
12.3.9 NORDICS
12.3.9.1 Strong focus on predictive maintenance, quality assurance, and AI-based inspection to accelerate market growth
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 Rising manufacturing of electronics & semiconductor components and commercial vehicles to drive market
12.4.3 JAPAN
12.4.3.1 Increasing export of robots to contribute to market growth
12.4.4 SOUTH KOREA
12.4.4.1 Thriving electronics industry and demand for automation to augment market growth
12.4.5 INDIA
12.4.5.1 Growing focus on automation and digitalization to stimulate market growth
12.4.6 AUSTRALIA
12.4.6.1 Expanding applications in electronics and food & beverages industries to bolster market growth
12.4.7 INDONESIA
12.4.7.1 Rising need for efficiency, consistency, and quality in production processes to spur robotic vision system adoption
12.4.8 SINGAPORE
12.4.8.1 Rapid technological advances and well-developed infrastructure to foster market growth
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 Growing emphasis on smart manufacturing, automation, and digital transformation to accelerate market growth
12.5.2.2 UAE
12.5.2.2.1 Rising initiatives to promote automation technology adoption to expedite market growth
12.5.2.3 Bahrain
12.5.2.3.1 National strategies to support industrial automation to accelerate market growth
12.5.2.4 Kuwait
12.5.2.4.1 Growing focus on modernizing manufacturing sector to contribute to market growth
12.5.2.5 Oman
12.5.2.5.1 High preference for smart manufacturing practices to bolster market growth
12.5.2.6 Qatar
12.5.2.6.1 Escalating adoption of smart automation technologies to fuel market growth
12.5.2.7 Rest of Middle East
12.5.3 SOUTH AMERICA
12.5.3.1 Brazil
12.5.3.1.1 Increasing investment in industrial automation and smart manufacturing technologies to drive market
12.5.3.2 Argentina
12.5.3.2.1 Rising emphasis on modernizing manufacturing facilities to boost market growth
12.5.3.3 Other South American countries
12.5.4 AFRICA
12.5.4.1 South Africa
12.5.4.1.1 Increasing focus on enhancing manufacturing competitiveness to fuel market growth
12.5.4.2 Other African countries
13 COMPETITIVE LANDSCAPE
13.1 OVERVIEW
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
13.3 REVENUE ANALYSIS, 2020-2024
13.4 MARKET SHARE ANALYSIS, 2024
13.5 PRODUCT COMPARISON
13.6 COMPANY VALUATION AND FINANCIAL METRICS
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
13.7.1 STARS
13.7.2 EMERGING LEADERS
13.7.3 PERVASIVE PLAYERS
13.7.4 PARTICIPANTS
13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
13.7.5.1 Company footprint
13.7.5.2 Region footprint
13.7.5.3 Type footprint
13.7.5.4 Component footprint
13.7.5.5 Industry footprint
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024