Report Thumbnail
Product Code MM0913017467SH
Published Date 2023/7/10
English267 PagesGlobal

Robotic Vision Market by Type (2D Vision, 3D Vision Systems), Hardware (Cameras, Lighting, Optics, Processors & Controllers, Frame Grabbers), Software(Traditional software, Deep Learning Software), Application, Industry, Region - Global Forecast to 2028Telecom_Media_ICT_Digital Market


Report Thumbnail
Product Code MM0913017467SH◆The Jul 2025 edition is also likely available. We will check with the publisher immediately.
Published Date 2023/7/10
English 267 PagesGlobal

Robotic Vision Market by Type (2D Vision, 3D Vision Systems), Hardware (Cameras, Lighting, Optics, Processors & Controllers, Frame Grabbers), Software(Traditional software, Deep Learning Software), Application, Industry, Region - Global Forecast to 2028Telecom_Media_ICT_Digital Market



Abstract


Summary

The global Robotic Vision market is expected to grow from USD 2.6 billion in 2023 to USD 4.0 billion by 2028, registering a CAGR of 9.1%. Robotic vision is experiencing rapid growth due to technological advancements, increasing automation, demand for quality control, object recognition, safety enhancement, and improved cost efficiency. These factors collectively drive the adoption and development of robotic vision systems, enabling robots to perceive and interact with their environment more precisely and efficiently. “2D Vision Systems segment accounted for the largest share of the Robotic Vision market in 2022.” The 2D Vision Systems segment is experiencing robust growth in the market. The demand for 2D robotic vision systems is surging as industries increasingly prioritize automation, quality control, object recognition, safety, and cost-effectiveness. These systems empower robots to perceive their surroundings, detect defects, track objects, and leverage advanced camera technology and artificial intelligence. Their ability to enhance operational efficiency, accuracy, and adaptability propels the growing adoption of 2D robotic vision systems across various sectors. “Hardware segment accounted for the largest share of the Robotic Vision market in 2022.” The demand for robotic vision hardware is experiencing a significant upswing driven by multiple factors. Industries are increasingly adopting automation, spurring the need for advanced hardware components such as cameras, sensors, and processors. Technological advancements have led to enhanced performance, cost-effectiveness, and miniaturization of robotic vision hardware. The diverse applications across industries, integration with cutting-edge technologies like AI and machine learning, and the crucial role in achieving accurate perception and ensuring safety contribute to the escalating demand for innovative robotic vision hardware solutions. “Electrical & Electronics Industry to account for the largest market size in 2022” Robotic vision is rapidly expanding in the electric and electronics industry, finding increasing applications in various areas. Its growth in the industry is driven by factors such as improved quality control, automated assembly and manufacturing processes, efficient testing and validation, optimized packaging and logistics, and enhanced product customization. Robotic vision systems bring advantages like heightened productivity, superior product quality, reduced errors, and increased efficiency to the industry. As technology advances further, the adoption of robotic vision is set to continue growing, fostering innovation and transformation within the electric and electronics sector. “Asia Pacific to account for the largest market size in 2022” The robotic vision market in the Asia Pacific region is experiencing substantial growth, driven by increasing industrial automation, rising labor costs, technological advancements, a strong manufacturing sector, and government support. This technology, which combines robotics and computer vision, is being widely adopted in countries like China, Japan, South Korea, and India across various industries. Robotic vision enables robots to perform complex tasks based on visual perception and interpretation, enhancing productivity and efficiency. As the region continues to embrace automation and robotics, the demand for robotic vision systems is expected to rise further. The break-up of the profiles of primary participants: • By Company Type – Tier 1 – 35%, Tier 2 – 30%, and Tier 3 – 35% • By Designation – C-level Executives – 45%, Directors – 35%, and Others – 20% • By Region – North America - 35%, Asia Pacific – 30%, Europe – 25%, RoW- 10% The major players in the market are Cognex Corporation (US), Basler AG (Germany), OMRON Corporation (Japan), National Instruments Corporation (US), Keyence Corporation (Japan) Research Coverage: The Robotic Vision market has been segmented into type, component, industry, and region. The Robotic Vision market was studied in North America, Europe, Asia Pacific, and the Rest of the World (RoW). The report describes the major drivers, restraints, challenges, and opportunities of the Robotic Vision market and forecasts the same till 2028. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the Robotic Vision ecosystem. Key Benefits of Buying the Report: The report will help market leaders/new entrants with information on the closest approximations of the revenue numbers for the Robotic Vision market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities. • Analysis of Key Drivers (Growing need for quality inspection with automated robotic vision, Rapid adoption of 3D vision systems in industrial robotics, Increasing demand for safety as well as quality products in the industrial sector, Increase in use of smart cameras in robotic vision), restraints (High initial cost of installation, Varying applications of industrial and end-user industries, Limited awareness of robotic vision systems), Opportunities (Government initiatives boosting industrial automation, AI and deep learning driving advancement of robotic vision, Increasing customization of robotic vision systems), Challenges (Difficulties in manufacturing of overall robotic vision systems, Programming of complex inspection tasks). • Product Development/Innovation: Detailed insights on research & development activities and new product launches in the Robotic Vision market. • Market Development: Comprehensive information about lucrative markets – the report analyses the Robotic Vision market across varied regions. • Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Robotic Vision market. • Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players like Cognex Corporation (US), Basler AG (Germany), OMRON Corporation (Japan), National Instruments Corporation (US), Keyence Corporation (Japan), Teledyne DALSA (Canada), Sick AG (Germany), Torvidel AS (Norway), Hexagon AB (Sweden), Advantech (Taiwan), Yaskawa America, Inc. (Japan), ISRA VISION (Germany), FANUC CORPORATION (Japan), ABB (Switzerland), Qualcomm Incorporated (US) among others in the Robotic Vision market.

Table of Contents

  • 1 INTRODUCTION 31

    • 1.1 STUDY OBJECTIVES 31
    • 1.2 MARKET DEFINITION 31
    • 1.3 INCLUSIONS AND EXCLUSIONS 32
    • 1.4 STUDY SCOPE 32
      • 1.4.1 MARKETS COVERED 32
      • 1.4.2 YEARS CONSIDERED 33
    • 1.5 CURRENCY CONSIDERED 33
    • 1.6 LIMITATIONS 33
    • 1.7 STAKEHOLDERS 33
    • 1.8 SUMMARY OF CHANGES 34
      • 1.8.1 IMPACT OF RECESSION 34
  • 2 RESEARCH METHODOLOGY 35

    • 2.1 RESEARCH DATA 35
      • 2.1.1 SECONDARY DATA 36
        • 2.1.1.1 List of major secondary sources 36
        • 2.1.1.2 Key data from secondary sources 36
      • 2.1.2 PRIMARY DATA 37
        • 2.1.2.1 Breakdown of primaries 37
        • 2.1.2.2 Key data from primary sources 37
      • 2.1.3 SECONDARY AND PRIMARY RESEARCH 38
        • 2.1.3.1 Key industry insights 38
    • 2.2 MARKET SIZE ESTIMATION 39
      • 2.2.1 BOTTOM-UP APPROACH 40
        • 2.2.1.1 Approach to arrive at market size using bottom-up analysis 40
      • 2.2.2 TOP-DOWN APPROACH 41
        • 2.2.2.1 Approach to arrive at market size using top-down analysis 41
    • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 42
    • 2.4 RESEARCH ASSUMPTIONS 43
    • 2.5 APPROACH TO ANALYZE IMPACT OF RECESSION 43
    • 2.6 RISK ASSESSMENT 44
  • 3 EXECUTIVE SUMMARY 45

  • 4 PREMIUM INSIGHTS 49

    • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ROBOTIC VISION MARKET 49
    • 4.2 ROBOTIC VISION MARKET, BY TYPE 49
    • 4.3 ROBOTIC VISION MARKET, BY COMPONENT 50
    • 4.4 ROBOTIC VISION MARKET, BY INDUSTRY 50
    • 4.5 ROBOTIC VISION MARKET, BY REGION 51
    • 4.6 ROBOTIC VISION MARKET, BY COUNTRY 51
  • 5 MARKET OVERVIEW 52

    • 5.1 INTRODUCTION 52
    • 5.2 MARKET DYNAMICS 53
      • 5.2.1 DRIVERS 53
        • 5.2.1.1 Growing need for quality inspection using automated robotic vision systems 53
        • 5.2.1.2 Rising use of 3D vision systems in industrial robotics 54
        • 5.2.1.3 Increasing demand for safety and high-quality products in industrial sector 54
        • 5.2.1.4 Increasing use of smart cameras in robotic vision systems 55
      • 5.2.2 RESTRAINTS 55
        • 5.2.2.1 High installation cost 55
        • 5.2.2.2 Limited adaptability in different applications 56
        • 5.2.2.3 Less awareness regarding robotic vision systems 56
      • 5.2.3 OPPORTUNITIES 57
        • 5.2.3.1 Government-led initiatives for boosting industrial automation 57
        • 5.2.3.2 Integration of AI and deep learning technologies into robotic vision systems 58
        • 5.2.3.3 Customization of robotic vision systems 58
      • 5.2.4 CHALLENGES 59
        • 5.2.4.1 Difficulties in manufacturing robotic vision systems 59
        • 5.2.4.2 Programming of complex inspection tasks 60
    • 5.3 VALUE CHAIN ANALYSIS 60
    • 5.4 ECOSYSTEM ANALYSIS 62
    • 5.5 PRICING ANALYSIS 64
      • 5.5.1 AVERAGE SELLING PRICE (ASP) OF ROBOTIC VISION SYSTEM COMPONENTS OFFERED BY THREE KEY PLAYERS 64
    • 5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 66
    • 5.7 TECHNOLOGY ANALYSIS 66
      • 5.7.1 3D VISION SYSTEM 66
      • 5.7.2 HYPERSPECTRAL IMAGING 67
      • 5.7.3 ARTIFICIAL INTELLIGENCE (AI) IN ROBOTIC VISION SYSTEM 67
      • 5.7.4 LIQUID LENSES IN ROBOTIC VISION SYSTEM 67
      • 5.7.5 4D VISION SYSTEM 68
    • 5.8 PORTER’S FIVE FORCES ANALYSIS 68
      • 5.8.1 THREAT OF NEW ENTRANTS 68
      • 5.8.2 THREAT OF SUBSTITUTES 69
      • 5.8.3 BARGAINING POWER OF SUPPLIERS 69
      • 5.8.4 BARGAINING POWER OF BUYERS 69
      • 5.8.5 INTENSITY OF COMPETITIVE RIVALRY 69
    • 5.9 KEY STAKEHOLDERS AND BUYING CRITERIA 70
      • 5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS 70
      • 5.9.2 BUYING CRITERIA 71
    • 5.10 CASE STUDY ANALYSIS 72
      • 5.10.1 AEROBOTIX DEVELOPED AUTOMATED PART LOCATION AND VERIFICATION (APLV) SYSTEM TO SIMPLIFY PROCESS OF UPDATING ROBOT PATHS IN VERSATILE, EVER-CHANGING WORK ENVIRONMENTS 72
      • 5.10.2 MWES ENGINEERED SYSTEMS DEVELOPED TWO WALL-MOUNTED KAWASAKI RS007L ROBOTS EQUIPPED WITH VACUUM GRIPPERS 72
      • 5.10.3 VARTA USED VISIONPRO 3D TO ACHIEVE HIGH PRODUCTION SPEED AND PRODUCT QUALITY 73
    • 5.11 TRADE ANALYSIS 73
    • 5.12 PATENT ANALYSIS 75
      • 5.12.1 LIST OF MAJOR PATENTS 76
    • 5.13 KEY CONFERENCES AND EVENTS, 2023-2024 78
    • 5.14 REGULATIONS 80
      • 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 80
    • 5.15 STANDARDS 82
      • 5.15.1 INTERFACE/CONNECTIVITY 83
        • 5.15.1.1 GigE Vision 83
        • 5.15.1.2 USB3 Vision 83
        • 5.15.1.3 CoaXPress (CXP) 83
      • 5.15.2 CAMERA 83
        • 5.15.2.1 EMVA 1288 83
        • 5.15.2.2 ASTM E57 83
        • 5.15.2.3 LENS 84
        • 5.15.2.4 Japan Industrial Imaging Association (JIAA) 84
      • 5.15.3 PROGRAMMING INTERFACE 84
        • 5.15.3.1 GenICam 84
  • 6 ROBOTIC VISION MARKET, BY DEPLOYMENT 86

    • 6.1 INTRODUCTION 86
      • 6.1.1 ROBOTIC GUIDANCE SYSTEMS 86
        • 6.1.1.1 Ability to manipulate and assemble objects of any size and shape to support use of robotic guidance systems 86
      • 6.1.2 ROBOTIC CELLS 87
        • 6.1.2.1 Rising adoption in tasks with defined target position and orientation to drive demand for robotic cells 87
  • 7 ROBOTIC VISION MARKET, BY DETECTION ALGORITHM 88

    • 7.1 INTRODUCTION 88
    • 7.2 CONTOUR-BASED 88
    • 7.3 CORRELATION-BASED 89
    • 7.4 FEATURE EXTRACTION 89
    • 7.5 CLOUD OF POINT 90
  • 8 ROBOTIC VISION MARKET, BY APPLICATION 91

    • 8.1 INTRODUCTION 91
    • 8.2 WELDING AND SOLDERING 92
      • 8.2.1 NEED TO MAXIMIZE WELDING AND SOLDERING EFFICIENCY TO DRIVE MARKET 92
    • 8.3 MATERIAL HANDLING 93
      • 8.3.1 OPTIMIZING MATERIAL HANDLING AND ENHANCING EFFICIENCY, ACCURACY, AND SAFETY OF WORKPLACES TO PROPEL MARKET 93
    • 8.4 PACKAGING AND PALLETIZING 93
      • 8.4.1 PACKAGING NEEDS IN FOOD & BEVERAGE INDUSTRY TO DRIVE ADOPTION OF ROBOTIC VISION 93
    • 8.5 PAINTING 94
      • 8.5.1 COST-EFFECTIVENESS IN PAINTING AND COATING APPLICATIONS TO BOOST MARKET 94
    • 8.6 ASSEMBLING AND DISASSEMBLING 96
      • 8.6.1 DEMAND FOR ENHANCING PRODUCTIVITY AND PRECISION IN ASSEMBLING PROCESSES TO DRIVE MARKET 96
    • 8.7 CUTTING, PRESSING, GRINDING, AND DEBURRING 96
      • 8.7.1 NEED TO ELIMINATE RISKS IN CUTTING, PRESSING, GRINDING, AND DEBURRING PROCESSES TO DRIVE USE OF ROBOTIC VISION SYSTEMS 96
    • 8.8 MEASUREMENT, INSPECTION, AND TESTING 97
      • 8.8.1 PRECISE MEASUREMENT, INSPECTION, AND TESTING TASKS TO SUPPORT MARKET GROWTH 97
  • 9 ROBOTIC VISION MARKET, BY TYPE 98

    • 9.1 INTRODUCTION 99
    • 9.2 2D VISION SYSTEMS 100
      • 9.2.1 INCREASED DEPLOYMENT IN CONVENTIONAL APPLICATIONS TO DRIVE GROWTH OF 2D VISION SYSTEMS 100
    • 9.3 3D VISION SYSTEMS 103
      • 9.3.1 SINGLE- AND MULTI-CAMERA TRIANGULATION 103
        • 9.3.1.1 Growth in robotics field to drive adoption of single and multi-camera triangulation 103
      • 9.3.2 STRUCTURED LIGHT 104
        • 9.3.2.1 Accurate object-mapping feature to boost use of structured light 104
      • 9.3.3 TIME-OF-FLIGHT (TOF) 104
        • 9.3.3.1 Implementation in vision-guided solutions in large workspaces to drive market 104
      • 9.3.4 STEREO VISION 104
        • 9.3.4.1 Suitability for 3D construction to drive demand for stereo vision 104
      • 9.3.5 LASER-BASED 105
        • 9.3.5.1 Utilization in extracting geometric information of objects to propel laser-based vision market 105
  • 10 ROBOTIC VISION MARKET, BY COMPONENT 107

    • 10.1 INTRODUCTION 108
    • 10.2 HARDWARE 109
      • 10.2.1 CAMERAS 111
        • 10.2.1.1 Smart cameras combine image capture and processing in one system 111
        • 10.2.1.2 Format 112
          • 10.2.1.2.1 Line scan 112
            • 10.2.1.2.1.1 Line scan cameras used for rapid data capturing 112
          • 10.2.1.2.2 Area scan 112
            • 10.2.1.2.2.1 Area scan cameras capture images in fast-moving scenes 112
          • 10.2.1.2.3 CMOS 112
            • 10.2.1.2.3.1 CMOS sensors based on photoelectric effect 112
          • 10.2.1.2.4 CCD 113
            • 10.2.1.2.4.1 CCDs capable of creating high-quality images 113
        • 10.2.1.3 Imaging spectrum 113
          • 10.2.1.3.1 Visible light 113
            • 10.2.1.3.1.1 Robotic vision systems in visible spectrum have wavelengths between 400 and 700 nm 113
          • 10.2.1.3.2 Visible + IR 113
            • 10.2.1.3.2.1 Visible + IR cameras use NIR LEDs for visible + NIR imaging 113
      • 10.2.2 LIGHTING 114
        • 10.2.2.1 Lighting guides cameras to function properly and precisely 114
      • 10.2.3 OPTICS 115
        • 10.2.3.1 Optical lens defines field of view for vision cameras 115
      • 10.2.4 PROCESSORS AND CONTROLLERS 115
        • 10.2.4.1 Processors perform arithmetic operations on external data sources 115
        • 10.2.4.2 FPGA 115
        • 10.2.4.3 DSP 116
          • 10.2.4.3.1 DSPs help fetch multiple data and instructions simultaneously 116
        • 10.2.4.4 Microcontrollers and microprocessors 116
          • 10.2.4.4.1 Microcontrollers and microprocessors are specifically designed for real-time applications 116
        • 10.2.4.5 VPU 116
          • 10.2.4.5.1 VPUs fulfill need for faster processing in vision-related applications 116
      • 10.2.5 FRAME GRABBERS 116
        • 10.2.5.1 Frame grabbers process, store, and visualize multiple images simultaneously 116
      • 10.2.6 OTHERS 117
    • 10.3 SOFTWARE 117
      • 10.3.1 TRADITIONAL SOFTWARE 118
        • 10.3.1.1 Traditional software provide framework for developing robotic vision applications 118
      • 10.3.2 DEEP LEARNING SOFTWARE 118
        • 10.3.2.1 Deep learning frameworks offer high flexibility for program developers 118
  • 11 ROBOTIC VISION MARKET, BY INDUSTRY 119

    • 11.1 INTRODUCTION 120
    • 11.2 AUTOMOTIVE 122
      • 11.2.1 AUTOMATED MANUFACTURING PROCESSES TO DRIVE MARKET 122
    • 11.3 ELECTRICAL & ELECTRONICS 124
      • 11.3.1 NEED FOR IMPROVED QUALITY CONTROL, AUTOMATION, AND OBJECT RECOGNITION TO PROPEL MARKET 124
    • 11.4 CHEMICALS, RUBBER, & PLASTICS 127
      • 11.4.1 USE IN MATERIAL HANDLING AND INSPECTION TASKS TO SUPPORT DEMAND FOR ROBOTIC VISION 127
    • 11.5 METALS & MACHINERY 130
      • 11.5.1 SHORTAGE OF SKILLED LABOR TO FUEL MARKET GROWTH 130
    • 11.6 FOOD & BEVERAGES 132
      • 11.6.1 NEED TO MAINTAIN PRODUCT CONSISTENCY AND FOOD & BEVERAGE SAFETY TO FUEL ADOPTION OF VISION-GUIDED ROBOTS 132
    • 11.7 PRECISION ENGINEERING & OPTICS 135
      • 11.7.1 GROWING REQUIREMENT FOR SUPPLY OF PRECISION-ENGINEERED COMPONENTS TO MAJOR INDUSTRIES TO PROPEL MARKET 135
    • 11.8 PHARMACEUTICALS & COSMETICS 137
      • 11.8.1 CRUCIAL INSPECTION TASKS IN PHARMACEUTICAL PLANTS TO BOOST DEMAND FOR ROBOTIC VISION 137
    • 11.9 OTHERS 139
  • 12 ROBOTIC VISION MARKET, BY REGION 142

    • 12.1 INTRODUCTION 143
    • 12.2 NORTH AMERICA 145
      • 12.2.1 IMPACT OF RECESSION ON ROBOTIC VISION MARKET IN NORTH AMERICA 145
      • 12.2.2 US 148
        • 12.2.2.1 Automotive industry to offer lucrative opportunities 148
      • 12.2.3 CANADA 148
        • 12.2.3.1 Government initiatives to favor market growth 148
      • 12.2.4 MEXICO 149
        • 12.2.4.1 Growing focus of manufacturing sector on automation to boost market 149
    • 12.3 EUROPE 150
      • 12.3.1 IMPACT OF RECESSION ON ROBOTIC VISION MARKET IN EUROPE 150
      • 12.3.2 GERMANY 154
        • 12.3.2.1 Established industrial robot market to boost demand 154
      • 12.3.3 UK 154
        • 12.3.3.1 Incorporation of vision systems into automobiles to improve product quality to drive market 154
      • 12.3.4 FRANCE 155
        • 12.3.4.1 Growing focus of food & beverage giants on automation to develop market 155
      • 12.3.5 ITALY 155
        • 12.3.5.1 Growing industrial automation to propel market 155
      • 12.3.6 SPAIN 155
        • 12.3.6.1 Encouragement from government to purchase EVs and HEVs to benefit market 155
      • 12.3.7 REST OF EUROPE 156
    • 12.4 ASIA PACIFIC 156
      • 12.4.1 IMPACT OF RECESSION ON ROBOTIC VISION MARKET IN ASIA PACIFIC 156
      • 12.4.2 CHINA 160
        • 12.4.2.1 Electronics and semiconductor industries to generate significant demand 160
      • 12.4.3 JAPAN 160
        • 12.4.3.1 Presence of prominent vision sensor manufacturers to boost demand 160
      • 12.4.4 SOUTH KOREA 161
        • 12.4.4.1 Robust manufacturing sector to benefit market 161
      • 12.4.5 TAIWAN 161
        • 12.4.5.1 Development of smart factories, machinery, technology, and transport infrastructure to benefit market 161
      • 12.4.6 INDIA 162
        • 12.4.6.1 High import tariffs on automobiles and electronics to fuel market 162
      • 12.4.7 REST OF ASIA PACIFIC 162
    • 12.5 ROW 163
      • 12.5.1 IMPACT OF RECESSION ON ROBOTIC VISION MARKET IN ROW 163
      • 12.5.2 MIDDLE EAST & AFRICA 166
        • 12.5.2.1 Rising adoption of robotic vision systems in plastic and food & beverage industry to develop market 166
      • 12.5.3 SOUTH AMERICA 166
        • 12.5.3.1 Ongoing economic reforms to offer lucrative growth opportunities 166
  • 13 COMPETITIVE LANDSCAPE 167

    • 13.1 INTRODUCTION 167
    • 13.2 REVENUE ANALYSIS OF TOP FIVE COMPANIES 170
    • 13.3 MARKET SHARE ANALYSIS, 2022 170
    • 13.4 KEY COMPANY EVALUATION MATRIX, 2022 173
      • 13.4.1 STARS 173
      • 13.4.2 EMERGING LEADERS 173
      • 13.4.3 PERVASIVE PLAYERS 173
      • 13.4.4 PARTICIPANTS 173
    • 13.5 STARTUPS/SMES EVALUATION MATRIX, 2022 174
      • 13.5.1 PROGRESSIVE COMPANIES 174
      • 13.5.2 RESPONSIVE COMPANIES 174
      • 13.5.3 DYNAMIC COMPANIES 175
      • 13.5.4 STARTING BLOCKS 175
    • 13.6 COMPETITIVE BENCHMARKING 176
      • 13.6.1 ROBOTIC VISION MARKET FOOTPRINT 178
    • 13.7 COMPETITIVE SCENARIOS AND TRENDS 182
      • 13.7.1 PRODUCT LAUNCHES 182
      • 13.7.2 DEALS 185
      • 13.7.3 OTHERS 188
  • 14 COMPANY PROFILES 189

    • 14.1 KEY PLAYERS 189
      • 14.1.1 COGNEX CORPORATION 189
      • 14.1.2 BASLER AG 193
      • 14.1.3 OMRON CORPORATION 199
      • 14.1.4 NATIONAL INSTRUMENTS CORP 203
      • 14.1.5 KEYENCE CORPORATION 207
      • 14.1.6 TELEDYNE DALSA 210
      • 14.1.7 SICK AG 214
      • 14.1.8 TORDIVEL AS 218
      • 14.1.9 HEXAGON AB 220
      • 14.1.10 ADVANTECH CO., LTD 223
      • 14.1.11 YASKAWA AMERICA, INC 227
      • 14.1.12 ISRA VISION 230
      • 14.1.13 FANUC CORPORATION 234
      • 14.1.14 ABB 237
      • 14.1.15 QUALCOMM TECHNOLOGIES, INC 241
    • 14.2 OTHER PLAYERS 244
      • 14.2.1 LMI TECHNOLOGIES INC 244
      • 14.2.2 INDUSTRIAL VISION SYSTEMS 245
      • 14.2.3 VITRONIC 246
      • 14.2.4 MATROX ELECTRONIC SYSTEMS LTD 247
      • 14.2.5 ADLINK TECHNOLOGY INC 248
      • 14.2.6 ZIVID 249
      • 14.2.7 STEMMER IMAGING LTD 250
      • 14.2.8 MVTEC SOFTWARE GMBH 251
      • 14.2.9 WENGLOR SENSORIC GMBH 252
      • 14.2.10 AQUIFI 253
      • 14.2.11 IDS IMAGING DEVELOPMENT SYSTEMS GMBH 253
  • 15 ADJACENT AND RELATED MARKET 254

    • 15.1 INTRODUCTION 254
    • 15.2 LIMITATIONS 254
    • 15.3 COLLABORATIVE ROBOT MARKET, BY COMPONENT 254
    • 15.4 HARDWARE 256
      • 15.4.1 ROBOTIC ARMS 258
        • 15.4.1.1 Robotic arm design defined by ISO/TS 15066 standard 258
      • 15.4.2 END EFFECTORS OR END-OF-ARM TOOLS (EOATS) 258
        • 15.4.2.1 Welding guns 258
          • 15.4.2.1.1 Hand guidance feature of collaborative robots to make welding tasks easier 258
        • 15.4.2.2 Grippers 259
          • 15.4.2.2.1 Pneumatic 260
            • 15.4.2.2.1.1 Pneumatic grippers require external air supply to operate 260
          • 15.4.2.2.2 Electric 260
            • 15.4.2.2.2.1 Electric grippers are easiest to program and operate compared with other grippers 260
          • 15.4.2.2.3 Dexterous robotic hands 261
            • 15.4.2.2.3.1 4-finger robotic hand may be used without robotic arms 261
            • 15.4.2.2.3.2 5-finger robotic hands used in combination with industrial and collaborative robotic arms 261
          • 15.4.2.2.4 Vacuum 262
            • 15.4.2.2.4.1 Vacuum grippers can easily handle uneven and large area workpieces 262
          • 15.4.2.2.5 Magnetic 262
            • 15.4.2.2.5.1 Magnetic grippers less popular as other types of grippers 262
        • 15.4.2.3 Robotic screwdrivers 263
          • 15.4.2.3.1 Robotic screwdrivers apply consistent torque during screwdriving 263
        • 15.4.2.4 Sanding and deburring tools 263
          • 15.4.2.4.1 Sanding and deburring tools used for material removal 263
        • 15.4.2.5 Others 263
      • 15.4.3 DRIVES 263
        • 15.4.3.1 Drives convert electrical energy into mechanical energy 263
      • 15.4.4 CONTROLLERS 264
        • 15.4.4.1 Controllers carry out necessary instructions required to operate cobots 264
      • 15.4.5 SENSORS 264
        • 15.4.5.1 Sensors help measure and translate information into meaningful data 264
      • 15.4.6 POWER SUPPLY 265
        • 15.4.6.1 Most cobots operate at 24 or 48 V 265
      • 15.4.7 MOTORS 265
        • 15.4.7.1 Cobots fitted with light but powerful motors 265
      • 15.4.8 OTHERS 265
    • 15.5 SOFTWARE 266
      • 15.5.1 MANUFACTURERS TO INVEST SUBSTANTIAL EFFORTS TO DEVELOP INTUITIVE PROGRAMMING SOFTWARE 266
  • 16 APPENDIX 267

    • 16.1 INSIGHTS FROM INDUSTRY EXPERTS 267
    • 16.2 DISCUSSION GUIDE 267
    • 16.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 270
    • 16.4 CUSTOMIZATION OPTIONS 272
    • 16.5 RELATED REPORTS 272
    • 16.6 AUTHOR DETAILS 273
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