Machine Vision Market by Component (Hardware (Camera, Frame Grabber, Optics, Processor) and Software (Deep Learning and Application Specific)), Product (PC Systems and Smart Camera Systems), Application, Vertical, and Geography - Global Forecast to 2022

 Published On: Jan, 2017 |    No of Pages: 181 |  Published By: MarketsandMarkets | Format: PDF
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The machine vision market is expected to grow at a CAGR of 8.15% between 2016 and 2022

The overall machine vision market was valued at USD 8.12 billion in 2015 and is expected to reach USD 14.43 billion by 2022, growing at a CAGR of 8.15% between 2016 and 2022. The growth of this market is propelled by the rising need for quality inspection and automation across various industries. The increasing demand for vision-guided robotic systems and application-specific machine vision systems is facilitating the rapid growth of this market. Increasing adoption of 3D machine vision systems is also contributing to the market growth.

In the hardware component-based market, the camera segment is expected to hold the largest market size during the forecast period

Smart and digital cameras are an important part of machine vision systems. Various features incorporated within these cameras would further improve the inspection and quality assurance of the objects under test. Latest standards have also been introduced to make the cameras compatible with third-party software developers. Smart camera-based machine vision systems can accomplish the task of decoding algorithms and traceability applications such as ID code reading, quality assessment, text verification, and label inspection. The industrial vertical is expected to hold the largest market share, while the market for the nonindustrial vertical is expected to grow at the highest rate during the forecast period.

Machine vision market in APAC is expected to grow at the highest rate during the forecast period

APAC is expected to be the fastest-growing market. The market in APAC is segmented into India, China, Japan, South Korea, and Rest of APAC. APAC is a major market for various sectors such as consumer electronics, automobiles, and healthcare. This region has become a global focal point for large investments and business expansion opportunities. Moreover, food and packaging is among the major industries contributing toward the growth of the market in the APAC region.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews have been conducted with key industry experts. The breakup of the profiles of primary participants is given below:

• By Company Type: Tier 1—20%, Tier 55%, and Tier 25%
• By Designation: C-Level Executives—50%, Directors—25%, and Managers—25%
• By Geography: North America—60%, Europe—20%, APAC—10%, and RoW—10%

Companies that provide a range of customized solutions are expected to emerge as the game changers as customers find it easier to sync up with such devices for use in a specific industry.

The key market players profiled in this report are:

• Cognex Corporation (U.S.)
• Basler AG (Germany)
• Omron Corporation (Japan)
• National Instruments Corporation (U.S.)
• Keyence Corporation (Japan)
• Sony Corporation (Japan)
• Teledyne Technologies, Inc. (U.S.)
• Texas Instruments, Inc. (U.S.)
• Allied Vision Technologies GmbH (Germany)
• Intel Corporation (U.S.)
• Baumer Optronic GmbH (Germany)
• JAI A/S (Denmark)

Research Coverage:

• In terms of market by the hardware component, segments such as camera, frame grabber, optics, LED lighting, and processor, and others are covered. Camera under the hardware component comprehensively covers standard, frame rate, format, and sensor. Under the software component, deep learning and application-specific software are considered.
• Major applications for machine vision systems are quality control and inspection, positioning and guidance, measurement, identification, and recognition.
• On the basis of vertical, the market has been segmented into industrial vertical (automotive, electronics and semiconductor, consumer electronics, glass, metals, wood and paper, pharmaceutical, food and packaging, rubber and plastics, printing, machinery, and solar panel manufacturing) and nonindustrial vertical (healthcare and medical imaging, postal and logistics, intelligent transportation system, security and surveillance, agriculture, consumer electronics, and autonomous cars)
• The geographic analysis is done with regard to four major regions, namely, North America, Europe, APAC, and RoW (South America and Middle East and Africa)

Reasons to Buy This Report:

From an insight perspective, this research report has focused on various levels of analysis—industry analysis (industry trends), market ranking analysis of top players, value chain analysis; company profiles which discuss the basic views on the competitive landscape, emerging and high-growth segments of the machine vision market, high-growth regions, and market dynamics such as drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

• Market penetration: Comprehensive information on machine vision systems offered by the top players in the overall machine vision market
• Product development/innovation: Detailed insights regarding R&D activities, emerging technologies, and new product launches in the machine vision market
• Market development: Comprehensive information about lucrative emerging markets—the report analyses the markets for machine vision across regions
• Market diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the overall machine vision market
• Competitive assessment: In-depth assessment of market ranking analysis, strategies, products, and manufacturing capabilities of the leading players in the machine vision market
TABLE OF CONTENTS

1 INTRODUCTION 17
1.1 OBJECTIVES OF THE STUDY 17
1.2 MARKET DEFINITION 17
1.3 STUDY SCOPE 18
1.3.1 MARKETS COVERED 18
1.3.2 YEARS CONSIDERED FOR THE STUDY 18
1.4 CURRENCY 19
1.5 LIMITATIONS 19
1.6 PACKAGE SIZE 19
1.7 STAKEHOLDERS 19

2 RESEARCH METHODOLOGY 20
2.1 RESEARCH DATA 20
2.1.1 SECONDARY DATA 22
2.1.1.1 Key data from secondary sources 22
2.1.2 PRIMARY DATA 23
2.1.2.1 Key data from primary sources 23
2.1.2.2 Key industry insights 24
2.1.2.3 Breakdown of primaries 24
2.2 FACTOR ANALYSIS 25
2.2.1 DEMAND SIDE 25
2.2.1.1 Regulatory mandates for food, pharma, and automotive sectors 25
2.2.1.2 Increasing demand for industrial control and factory automation 26
2.2.2 SUPPLY-SIDE ANALYSIS 26
2.2.2.1 Growing adoption of artificial intelligence 27
2.2.2.2 Shift from CCD-based sensors to CMOS-based image sensors 27
2.3 MARKET SIZE ESTIMATION 28
2.3.1 BOTTOM-UP APPROACH 28
2.3.2 TOP-DOWN APPROACH 29
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION 30
2.5 RESEARCH ASSUMPTIONS 31

3 EXECUTIVE SUMMARY 32

4 PREMIUM INSIGHTS 38
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE MACHINE VISION MARKET 38
4.2 MACHINE VISION MARKET, BY VERTICAL (2016–2022) 38
4.3 MACHINE VISION MARKET, BY APPLICATION (2016–2022) 39
4.4 MACHINE VISION MARKET, BY REGION AND APPLICATION 39
4.5 MACHINE VISION MARKET, BY GEOGRAPHY (2016–2022) 40
4.6 LIFE CYCLE ANALYSIS, BY REGION 41

5 MARKET OVERVIEW 42
5.1 INTRODUCTION 43
5.2 MARKET EVOLUTION 43
5.3 MARKET SEGMENTATION 44
5.3.1 BY COMPONENT 44
5.3.2 BY PRODUCT 44
5.3.3 BY APPLICATION 44
5.3.4 BY VERTICAL 45
5.3.5 BY GEOGRAPHY 45
5.4 MARKET DYNAMICS 46
5.4.1 DRIVERS 47
5.4.1.1 Increasing need for quality inspection and automation 47
5.4.1.2 Growing demand for vision-guided robotic systems 47
5.4.1.3 Growing demand for application-specific machine vision systems 48
5.4.1.4 Increasing adoption of 3D machine vision systems 48
5.4.2 RESTRAINTS 49
5.4.2.1 Varying end-user requirements 49
5.4.2.2 Lack of flexible machine vision solutions 49
5.4.3 OPPORTUNITIES 50
5.4.3.1 Rise in factory wages and increase in profit margins leading to huge investments in vision-guided industrial robots and other automation technologies in China 50
5.4.3.2 Advancements in vision technology and industrial expansion 50
5.4.3.3 Growing adoption of machine vision technology in unmanned aerial vehicle (UAV) drones 51
5.4.4 CHALLENGES 52
5.4.4.1 Complexity in integrating machine vision systems 52
5.4.4.2 Lack of user awareness about rapidly changing machine vision technology 52

6 INDUSTRY TRENDS 53
6.1 INTRODUCTION 53
6.2 VALUE CHAIN ANALYSIS 53
6.2.1 R&D 53
6.2.2 MACHINE VISION COMPONENT MANUFACTURERS 53
6.2.3 ORIGINAL EQUIPMENT MANUFACTURERS (OEMS) 54
6.2.4 SYSTEM INTEGRATORS 54
6.2.5 RESELLERS AND DISTRIBUTORS 54
6.2.6 END USERS 54
6.3 INDUSTRY AND TECHNOLOGY TRENDS 55
6.4 PORTER’S FIVE FORCES ANALYSIS 56
6.4.1 THREAT OF NEW ENTRANTS 57
6.4.2 THREAT OF SUBSTITUTES 58
6.4.3 BARGAINING POWER OF SUPPLIERS 59
6.4.4 BARGAINING POWER OF BUYERS 60
6.4.5 INTENSITY OF COMPETITIVE RIVALRY 61

7 MACHINE VISION MARKET, BY COMPONENT 62
7.1 INTRODUCTION 63
7.2 HARDWARE 64
7.2.1 CAMERA 65
7.2.1.1 Interface standards 65
7.2.1.1.1 Camera link 65
7.2.1.1.2 GigE 65
7.2.1.1.3 USB 3.0 66
7.2.1.1.4 CoaXPress 66
7.2.1.1.5 Others 66
7.2.1.2 By frame rate 68
7.2.1.2.1 <25 fps 68
7.2.1.2.2 25–125 fps 68
7.2.1.2.3 >125 fps 68
7.2.1.3 By format 69
7.2.1.3.1 Line scan 69
7.2.1.3.2 Area scan 69
7.2.1.4 By sensor type 70
7.2.1.4.1 CMOS 70
7.2.1.4.2 CCD 70
7.2.2 FRAME GRABBER 71
7.2.3 OPTICS 71
7.2.4 LED LIGHTING 71
7.2.5 PROCESSOR 71
7.2.5.1 FPGA 72
7.2.5.2 DSP 72
7.2.5.3 Microcontroller and microprocessor 72
7.3 SOFTWARE 73
7.3.1 APPLICATION SPECIFIC 74
7.3.2 DEEP LEARNING SOFTWARE 74

8 MACHINE VISION MARKET, BY PRODUCT 75
8.1 INTRODUCTION 76
8.2 PC-BASED MACHINE VISION SYSTEMS 77
8.3 SMART CAMERA-BASED VISION SYSTEMS 89

9 MACHINE VISION MARKET, BY APPLICATION 102
9.1 INTRODUCTION 103
9.2 QUALITY ASSURANCE & INSPECTION 104
9.3 POSITIONING AND GUIDANCE 105
9.4 MEASUREMENT 106
9.5 IDENTIFICATION 107

10 MACHINE VISION MARKET, BY VERTICAL 108
10.1 INTRODUCTION 109
10.2 INDUSTRIAL VERTICAL 110
10.2.1 AUTOMOTIVE 111
10.2.2 ELECTRONICS AND SEMICONDUCTOR 111
10.2.3 CONSUMER ELECTRONICS 111
10.2.4 GLASS 111
10.2.5 METALS 111
10.2.6 WOOD AND PAPER 111
10.2.7 PHARMACEUTICAL 112
10.2.8 FOOD AND PACKAGING 112
10.2.9 RUBBER AND PLASTIC 112
10.2.10 PRINTING 112
10.2.11 MACHINERY 113
10.2.12 SOLAR PANEL MANUFACTURING 113
10.3 NONINDUSTRIAL VERTICAL 113
10.3.1 HEALTHCARE 114
10.3.2 POSTAL AND LOGISTICS 114
10.3.3 SECURITY AND SURVEILLANCE 114
10.3.4 INTELLIGENT TRANSPORTATION SYSTEMS 114
10.3.5 AGRICULTURE 114
10.3.6 CONSUMER ELECTRONICS 115
10.3.7 AUTONOMOUS CARS 115

11 GEOGRAPHIC ANALYSIS 116
11.1 INTRODUCTION 117
11.2 NORTH AMERICA 119
11.2.1 US 120
11.2.2 CANADA 120
11.2.3 MEXICO 120
11.3 EUROPE 121
11.3.1 GERMANY 122
11.3.2 UK 122
11.3.3 FRANCE 122
11.3.4 ITALY 123
11.3.5 SPAIN 123
11.3.6 REST OF EUROPE (ROE) 123
11.4 ASIA PACIFIC (APAC) 124
11.4.1 CHINA 125
11.4.2 JAPAN 125
11.4.3 SOUTH KOREA 126
11.4.4 INDIA 126
11.4.5 REST OF APAC (ROAPAC) 126
11.5 REST OF THE WORLD (ROW) 127
11.5.1 SOUTH AMERICA 127
11.5.2 MIDDLE EAST 127
11.5.3 AFRICA 127

12 COMPETITIVE LANDSCAPE 129
12.1 OVERVIEW 129
12.2 KEY PLAYERS IN THE MACHINE VISION MARKET 131
12.3 COMPETITIVE SITUATIONS AND TRENDS 133
12.3.1 PRODUCT LAUNCHES AND DEVELOPMENTS 134
12.3.2 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS 135
12.3.3 MERGERS & ACQUISITIONS 136
12.3.4 OTHER DEVELOPMENTS 136
12.3.5 EXPANSIONS 136

13 COMPANY PROFILES 137 (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, Ratio Analysis, MnM View)*
13.1 INTRODUCTION 137
13.2 COGNEX CORPORATION 138
13.3 BASLER AG 141
13.4 OMRON CORPORATION 145
13.5 NATIONAL INSTRUMENTS CORPORATION 149
13.6 KEYENCE CORPORATION 152
13.7 SONY CORPORATION 155
13.8 TELEDYNE TECHNOLOGIES, INC. 157
13.9 TEXAS INSTRUMENTS, INC 159
13.10 ALLIED VISION TECHNOLOGIES GMBH 161
13.11 INTEL CORPORATION 163
13.12 BAUMER OPTRONIC GMBH 165
13.13 JAI A/S 167

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

14 APPENDIX 169
14.1 INSIGHTS OF INDUSTRY EXPERTS 169
14.2 DISCUSSION GUIDE 170
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 174
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 176
14.5 AVAILABLE CUSTOMIZATIONS 178
14.6 RELATED REPORTS 178
14.7 AUTHOR DETAILS 179

LIST OF TABLES

TABLE 1 CURRENCY TABLE 19
TABLE 2 MACHINE VISION MARKET: MARKET SIZE IN TERMS OF VALUE, 2014–2022 33
TABLE 3 MACHINE VISION MARKET, BY CAMERA, 2014–2022 33
TABLE 4 MACHINE VISION MARKET, BY COMPONENT, 2014–2022 (USD MILLION) 63
TABLE 5 MACHINE VISION MARKET, BY HARDWARE, 2014–2022 (USD MILLION) 64
TABLE 6 MACHINE VISION MARKET, BY CAMERA, 2014–2022 (MILLION UNITS & USD MILLION) 64
TABLE 7 MARKET FOR CAMERAS, BY INTERFACE STANDARDS, 2014–2022 (USD MILLION) 67
TABLE 8 MARKET FOR CAMERAS, BY FRAME RATE, 2014–2022 (USD MILLION) 68
TABLE 9 MARKET FOR CAMERAS, BY FORMAT, 2014–2022 (USD MILLION) 70
TABLE 10 MARKET FOR CAMERAS, BY SENSOR TYPE, 2014–2022 (USD MILLION) 70
TABLE 11 MARKET FOR CAMERAS, BY PROCESSOR, 2014–2022 (USD MILLION) 73
TABLE 12 MACHINE VISION CAMERA MARKET, BY SOFTWARE, 2014–2022 (USD MILLION) 73
TABLE 13 MACHINE VISION CAMERA MARKET, BY PRODUCT, 2014–2022 (USD MILLION) 76
TABLE 14 PC-BASED MACHINE VISION PRODUCT MARKET, BY REGION, 2014–2022 (USD MILLION) 77
TABLE 15 MACHINE VISION MARKET FOR PC-BASED PRODUCTS, BY INDUSTRIAL VERTICAL, 2014–2022 (USD MILLION) 78
TABLE 16 PC-BASED MACHINE VISION PRODUCT MARKET FOR AUTOMOTIVE VERTICAL, BY REGION, 2014–2022 (USD MILLION) 79
TABLE 17 PC-BASED MACHINE VISION PRODUCT MARKET FOR CONSUMER ELECTRONICS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 79
TABLE 18 PC-BASED PRODUCT MACHINE VISION MARKET FOR ELECTRONICS AND SEMICONDUCTOR VERTICAL, BY REGION, 2014–2022 (USD MILLION) 80
TABLE 19 PC-BASED MACHINE VISION PRODUCT MARKET FOR PRINTING VERTICAL, BY REGION, 2014–2022 (USD MILLION) 80
TABLE 20 MARKET FOR PC-BASED MACHINE VISION PRODUCT MARKETS FOR METALS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 81
TABLE 21 PC-BASED MACHINE VISION PRODUCT MARKET FOR WOOD AND PAPER VERTICAL, BY REGION, 2014–2022 (USD MILLION) 81
TABLE 22 PC-BASED MACHINE VISION PRODUCT MARKET FOR FOOD AND PACKAGING VERTICAL, BY REGION, 2014–2022 (USD MILLION) 82
TABLE 23 PC-BASED MACHINE VISION PRODUCT MARKET FOR RUBBER AND PLASTIC VERTICAL, BY REGION, 2014–2022 (USD MILLION) 83
TABLE 24 PC-BASED MACHINE VISION PRODUCT MARKET FOR PHARMACEUTICAL VERTICAL, BY REGION, 2014–2022 (USD MILLION) 83
TABLE 25 PC-BASED MACHINE VISION PRODUCT MARKET FOR GLASS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 84
TABLE 26 PC-BASED MACHINE VISION PRODUCT MARKET FOR MACHINERY VERTICAL, BY REGION, 2014–2022 (USD MILLION) 84
TABLE 27 PC-BASED MACHINE VISION PRODUCT MARKET FOR SOLAR PANEL MANUFACTURING VERTICAL, BY REGION, 2014–2022 (USD MILLION) 85
TABLE 28 MACHINE VISION MARKET FOR PC-BASED PRODUCTS, BY NONINDUSTRIAL VERTICAL, 2014–2022 (USD MILLION) 86
TABLE 29 PC-BASED MACHINE VISION PRODUCT MARKET FOR HEALTHCARE AND MEDICAL IMAGING VERTICAL, BY REGION, 2014–2022 (USD MILLION) 86
TABLE 30 PC-BASED MACHINE VISION PRODUCT MARKET FOR POSTAL AND LOGISTICS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 87
TABLE 31 PC-BASED MACHINE VISION PRODUCT MARKET FOR ITS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 87
TABLE 32 PC-BASED MACHINE VISION PRODUCT MARKET FOR SECURITY AND SURVEILLANCE VERTICAL, BY REGION, 2014–2022 (USD MILLION) 88
TABLE 33 PC-BASED MACHINE VISION PRODUCT MARKET FOR AGRICULTURE VERTICAL, BY REGION, 2014–2022 (USD MILLION) 88
TABLE 34 MACHINE VISION MARKET FOR SMART CAMERA-BASED PRODUCTS, BY REGION, 2014–2022 (USD MILLION) 89
TABLE 35 SMART CAMERA-BASED PRODUCT MACHINE VISION MARKET, BY INDUSTRIAL VERTICAL, 2014–2022 (USD MILLION) 90
TABLE 36 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR AUTOMOTIVE VERTICAL, BY REGION, 2014–2022 (USD MILLION) 91
TABLE 37 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR CONSUMER ELECTRONICS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 91
TABLE 38 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR ELECTRONICS AND SEMICONDUCTOR VERTICAL, BY REGION, 2014–2022 (USD MILLION) 92
TABLE 39 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR PRINTING VERTICAL, BY REGION, 2014–2022 (USD MILLION) 92
TABLE 40 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR METAL VERTICAL, BY REGION, 2014–2022 (USD MILLION) 93
TABLE 41 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR WOOD & PAPER, BY REGION, 2014–2022 (USD MILLION) 93
TABLE 42 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR FOOD & PACKAGING VERTICAL, BY REGION, 2014–2022 (USD MILLION) 94
TABLE 43 CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR RUBBER & PLASTIC VERTICAL, BY REGION, 2014–2022 (USD MILLION) 94
TABLE 44 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR PHARMACEUTICAL VERTICAL, BY REGION, 2014–2022 (USD MILLION) 95
TABLE 45 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR GLASS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 95
TABLE 46 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR MACHINERY VERTICAL, BY REGION, 2014–2022 (USD MILLION) 96
TABLE 47 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR SOLAR PANEL MANUFACTURING VERTICAL, BY REGION, 2014–2022 (USD MILLION) 96
TABLE 48 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET, BY NONINDUSTRIAL VERTICAL, 2014–2022 (USD MILLION) 97
TABLE 49 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR HEALTHCARE VERTICAL, BY REGION, 2014–2022 (USD MILLION) 98
TABLE 50 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR POSTAL & LOGISTICS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 98
TABLE 51 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR ITS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 99
TABLE 52 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR SECURITY AND SURVEILLANCE VERTICAL, BY REGION, 2014–2022 (USD MILLION) 99
TABLE 53 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR AGRICULTURE VERTICAL, BY REGION, 2014–2022 (USD MILLION) 100
TABLE 54 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR CONSUMER ELECTRONICS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 101
TABLE 55 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR AUTONOMOUS CARS VERTICAL, BY REGION, 2014–2022 (USD MILLION) 101
TABLE 56 MACHINE VISION MARKET FOR CAMERAS, BY APPLICATION, 2014–2022 (USD MILLION) 103
TABLE 57 MACHINE VISION CAMERA MARKET FOR QUALITY ASSURANCE AND INSPECTION APPLICATION, BY PRODUCT, 2014–2022 (USD BILLION) 104
TABLE 58 MACHINE VISION CAMERA MARKET FOR POSITIONING AND GUIDANCE APPLICATION, BY PRODUCT, 2014–2022 (USD MILLION) 106
TABLE 59 MACHINE VISION CAMERA MARKET FOR MEASUREMENT APPLICATION, BY PRODUCT, 2014–2022 (USD MILLION) 106
TABLE 60 MACHINE VISION CAMERA MARKET FOR IDENTIFICATION APPLICATION, BY PRODUCT, 2014–2022 (USD MILLION) 107
TABLE 61 MACHINE VISION MARKET, BY VERTICAL, 2014–2022 (USD BILLION) 109
TABLE 62 MACHINE VISION MARKET, BY INDUSTRIAL VERTICAL, 2014–2022 (USD MILLION) 110
TABLE 63 MACHINE VISION MARKET, BY NONINDUSTRIAL VERTICAL, 2014–2022 (USD MILLION) 113
TABLE 64 MACHINE VISION MARKET, BY REGION, 2014–2022 (USD MILLION) 118
TABLE 65 MACHINE VISION MARKET IN NORTH AMERICA, BY COUNTRY, 2014–2022 (USD MILLION) 120
TABLE 66 MACHINE VISION MARKET IN NORTH AMERICA, BY VERTICAL, 2014–2022 (USD MILLION) 121
TABLE 67 MACHINE VISION MARKET IN EUROPE, BY COUNTRY, 2014–2022 (USD MILLION) 122
TABLE 68 MACHINE VISION MARKET IN EUROPE, BY VERTICAL, 2014–2022 (USD MILLION) 123
TABLE 69 MACHINE VISION MARKET IN APAC, BY COUNTRY, 2014–2022 (USD MILLION) 125
TABLE 70 MACHINE VISION MARKET IN APAC, BY VERTICAL, 2014–2022 (USD MILLION) 126
TABLE 71 MACHINE VISION MARKET IN ROW, BY REGION, 2014–2022 (USD MILLION) 127
TABLE 72 MACHINE VISION MARKET IN ROW, BY VERTICAL, 2014–2022 (USD MILLION) 128
TABLE 73 COMPANY REVENUES OF MAJOR PLAYERS, USD BILLION (2013–2015) 130
TABLE 74 TOP 5 PLAYERS IN THE MACHINE VISION MARKET, 2015 131
TABLE 75 PRODUCT LAUNCHES AND DEVELOPMENTS (2014–2016) 134
TABLE 76 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS (2014–2016) 135
TABLE 77 MERGERS & ACQUISITIONS (2016) 136
TABLE 78 OTHER DEVELOPMENTS (2015) 136
TABLE 79 EXPANSIONS (2014–2016) 136

LIST OF FIGURES

FIGURE 1 MACHINE VISION MARKET SEGMENTATION 18
FIGURE 2 MACHINE VISION MARKET: RESEARCH DESIGN 20
FIGURE 3 RESEARCH FLOW 21
FIGURE 4 GLOBAL INDUSTRIAL CONTROL AND FACTORY AUTOMATION MARKET (2013–2022) 26
FIGURE 5 GLOBAL ARTIFICIAL INTELLIGENCE CHIPSET MARKET (2013–2022) 27
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 28
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 29
FIGURE 8 DATA TRIANGULATION 30
FIGURE 9 MACHINE VISION MARKET (2014–2022) 33
FIGURE 10 MACHINE VISION MARKET FOR IDENTIFICATION APPLICATION EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022 34
FIGURE 11 MARKET FOR SMART CAMERA-BASED MACHINE VISION SYSTEMS EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 34
FIGURE 12 HARDWARE COMPONENT EXPECTED TO HOLD THE LARGEST SIZE OF THE OVERALL MACHINE VISION MARKET DURING THE FORECAST PERIOD 35
FIGURE 13 MARKET FOR NONINDUSTRIAL VERTICAL EXPECTED TO GROW AT A HIGHER RATE DURING THE FORECAST PERIOD 36
FIGURE 14 APAC HELD THE LARGEST SIZE OF THE MACHINE VISION MARKET IN 2015 37
FIGURE 15 MACHINE VISION MARKET EXPECTED TO GROW AT A SIGNIFICANT RATE OWING TO INCREASING NEED FOR QUALITY INSPECTION BETWEEN 2016 AND 2022 38
FIGURE 16 INDUSTRIAL VERTICAL EXPECTED TO HOLD THE LARGEST SIZE OF THE OVERALL MACHINE VISION MARKET DURING THE FORECAST PERIOD 38
FIGURE 17 MACHINE VISION MARKET FOR IDENTIFICATION APPLICATION EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022 39
FIGURE 18 APAC EXPECTED TO HOLD THE LARGEST SHARE OF THE MACHINE VISION MARKET IN 2016 39
FIGURE 19 MACHINE VISION MARKET IN CHINA EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 40
FIGURE 20 APAC EXPECTED TO DOMINATE THE OVERALL MACHINE VISION MARKET BETWEEN 2016 AND 2022 41
FIGURE 21 EVOLUTION OF MACHINE VISION TECHNOLOGY 43
FIGURE 22 MACHINE VISION MARKET, BY GEOGRAPHY 45
FIGURE 23 INCREASING ADOPTION OF 3D MACHINE VISION SYSTEMS IS DRIVING THE GROWTH OF THE MACHINE VISION MARKET 46
FIGURE 24 GROWTH OF INDUSTRIAL ROBOTICS IN TERMS OF SHIPMENT BETWEEN 2010 AND 2015 48
FIGURE 25 AVERAGE YEARLY WAGES IN THE MANUFACTURING SECTOR IN CHINA 50
FIGURE 26 GROWING MARKET FOR UAV DRONES FOR INSPECTION AND MONITORING APPLICATION (2013–2020) 51
FIGURE 27 VALUE CHAIN ANALYSIS: MAXIMUM VALUE ADDED DURING COMPONENT AND EQUIPMENT MANUFACTURING AND SYSTEM INTEGRATION STAGES 53
FIGURE 28 INCREASING ADOPTION OF CLOUD COMPUTING TECHNIQUE IS A LEADING TREND IN THE MACHINE VISION MARKET 55
FIGURE 29 PORTER’S FIVE FORCES ANALYSIS, 2015 56
FIGURE 30 PORTER FIVE FORCE ANALYSIS, 2015 57
FIGURE 31 MACHINE VISION MARKET: THREAT OF NEW ENTRANTS 57
FIGURE 32 MACHINE VISION MARKET: THREAT OF SUBSTITUTES 58
FIGURE 33 MACHINE VISION MARKET: BARGAINING POWER OF SUPPLIERS 59
FIGURE 34 MACHINE VISION MARKET: BARGAINING POWER OF BUYERS 60
FIGURE 35 MACHINE VISION MARKET: INTENSITY OF COMPETITIVE RIVALRY 61
FIGURE 36 MACHINE VISION MARKET FOR SOFTWARE COMPONENT EXPECTED TO GROW AT A HIGHER RATE DURING THE FORECAST PERIOD 63
FIGURE 37 CAMERA LINK INTERFACE STANDARD EXPECTED TO HOLD THE LARGEST SIZE OF THE MACHINE VISION MARKET FOR HARDWARE COMPONENT DURING THE FORECAST PERIOD 67
FIGURE 38 THE MACHINE VISION MARKET FOR CAMERAS BASED ON AREA SCAN FORMAT EXPECTED TO GROW AT A HIGHER RATE DURING THE FORECAST PERIOD 69
FIGURE 39 FPGA PROCESSOR-BASED CAMERAS TO LEAD THE MACHINE VISION MARKET BETWEEN 2016 AND 2022 72
FIGURE 40 SMART CAMERA-BASED MACHINE VISION SYSTEMS EXPECTED TO DOMINATE THE MARKET DURING THE FORECAST PERIOD 76
FIGURE 41 PHARMACEUTICAL INDUSTRIAL VERTICAL EXPECTED TO HOLD THE LARGEST SIZE OF THE MACHINE VISION MARKET FOR PC-BASED PRODUCTS BY 2022 78
FIGURE 42 MACHINE VISION MARKET IN APAC FOR PC-BASED PRODUCTS EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 82
FIGURE 43 HEALTHCARE & MEDICAL IMAGING VERTICAL EXPECTED TO DOMINATE THE MACHINE VISION MARKET FOR PC-BASED PRODUCTS BETWEEN 2016 AND 2022 85
FIGURE 44 APAC TO LEAD THE MARKET FOR SMART CAMERA-BASED MACHINE VISION PRODUCTS DURING 2016–2022 89
FIGURE 45 SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR AUTONOMOUS CARS EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 97
FIGURE 46 THE SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET IN APAC FOR CONSUMER ELECTRONICS VERTICAL EXPECTED TO HOLD THE LARGEST SIZE BY 2022 100
FIGURE 47 MACHINE VISION MARKET FOR IDENTIFICATION APPLICATION EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 103
FIGURE 48 SMART CAMERA-BASED PRODUCT MARKET FOR POSITIONING AND GUIDANCE APPLICATION EXPECTED TO GROW AT A HIGHER RATE DURING THE FORECAST PERIOD 105
FIGURE 49 SMART CAMERA-BASED PRODUCTS EXPECTED TO HOLD A LARGER MARKET SIZE FOR IDENTIFICATION APPLICATION DURING THE FORECAST PERIOD 107
FIGURE 50 INDUSTRIAL VERTICAL LIKELY TO HOLD A LARGER SIZE OF THE MACHINE VISION MARKET BETWEEN 2016 AND 2022 109
FIGURE 51 GEOGRAPHIC SNAPSHOT OF THE MACHINE VISION MARKET (2016–2022) 117
FIGURE 52 SNAPSHOT OF THE MACHINE VISION MARKET IN NORTH AMERICA 119
FIGURE 53 GERMANY EXPECTED TO HOLD THE LARGEST SIZE OF THE EUROPEAN MACHINE VISION MARKET BY 2022 121
FIGURE 54 SNAPSHOT OF THE MACHINE VISION MARKET IN APAC 124
FIGURE 55 MACHINE VISION MARKET FOR NONINDUSTRIAL VERTICAL IN ROW EXPECTED TO GROW AT A HIGHER RATE BETWEEN 2016 AND 2022 128
FIGURE 56 COMPANIES ADOPTED PRODUCT LAUNCHES AND DEVELOPMENTS AS THE KEY GROWTH STRATEGY BETWEEN 2012 AND 2016 129
FIGURE 57 COGNEX CORPORATION REGISTERED THE HIGHEST CAGR IN TERMS OF REVENUE BETWEEN 2013 AND 2015 130
FIGURE 58 MARKET EVOLUTION FRAMEWORK —PRODUCT LAUNCHES AND DEVELOPMENTS AS THE MAJOR STRATEGY ADOPTED BY KEY PLAYERS (2013–2016) 133
FIGURE 59 BATTLE FOR MARKET RANKING: PRODUCT LAUNCHES AND DEVELOPMENTS AS THE KEY GROWTH STRATEGY 134
FIGURE 60 GEOGRAPHIC REVENUE MIX OF MAJOR MARKET PLAYERS 137
FIGURE 61 COGNEX CORPORATION: COMPANY SNAPSHOT 138
FIGURE 62 COGNEX CORPORATION: SWOT ANALYSIS 140
FIGURE 63 BASLER AG: COMPANY SNAPSHOT 141
FIGURE 64 BASLER AG: SWOT ANALYSIS 144
FIGURE 65 OMRON CORPORATION: COMPANY SNAPSHOT 145
FIGURE 66 OMRON CORPORATION: SWOT ANALYSIS 148
FIGURE 67 NATIONAL INSTRUMENTS CORPORATION: COMPANY SNAPSHOT 149
FIGURE 68 NATIONAL INSTRUMENTS CORPORATION: SWOT ANALYSIS 151
FIGURE 69 KEYENCE CORPORATION: SWOT ANALYSIS 154
FIGURE 70 SONY CORPORATION: COMPANY SNAPSHOT 155
FIGURE 71 TELEDYNE TECHNOLOGIES, INC.: COMPANY SNAPSHOT 157
FIGURE 72 TEXAS INSTRUMENTS, INC.: COMPANY SNAPSHOT 159
FIGURE 73 INTEL CORPORATION: COMPANY SNAPSHOT 163

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