DESCRIPTION
"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 the 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
1.1. OBJECTIVES OF THE STUDY
1.2. MARKET DEFINITION
1.3. STUDY SCOPE
1.3.1. MARKETS COVERED
1.3.2. YEARS CONSIDERED FOR THE STUDY
1.4. CURRENCY
1.5. LIMITATIONS
1.6. PACKAGE SIZE
1.7. STAKEHOLDERS
2. RESEARCH METHODOLOGY
2.1. RESEARCH DATA
2.1.1. SECONDARY DATA
2.1.1.1. Key data from secondary sources
2.1.2. PRIMARY DATA
2.1.2.1. Key data from primary sources
2.1.2.2. Key industry insights
2.1.2.3. Breakdown of primaries
2.2. FACTOR ANALYSIS
2.2.1. DEMAND SIDE
2.2.1.1. Regulatory mandates for food, pharma, and automotive sectors
2.2.1.2. Increasing demand for industrial control and factory automation
2.2.2. SUPPLY-SIDE ANALYSIS
2.2.2.1. Growing adoption of artificial intelligence
2.2.2.2. Shift from CCD-based sensors to CMOS-based image sensors
2.3. MARKET SIZE ESTIMATION
2.3.1. BOTTOM-UP APPROACH
2.3.2. TOP-DOWN APPROACH
2.4. MARKET BREAKDOWN AND DATA TRIANGULATION
2.5. RESEARCH ASSUMPTIONS
3. EXECUTIVE SUMMARY
4. PREMIUM INSIGHTS
4.1. ATTRACTIVE MARKET OPPORTUNITIES IN THE MACHINE VISION MARKET
4.2. MACHINE VISION MARKET, BY VERTICAL (2016-2022)
4.3. MACHINE VISION MARKET, BY APPLICATION (2016-2022)
4.4. MACHINE VISION MARKET, BY REGION AND APPLICATION
4.5. MACHINE VISION MARKET, BY GEOGRAPHY (2016-2022)
4.6. LIFE CYCLE ANALYSIS, BY REGION
5. MARKET OVERVIEW
5.1. INTRODUCTION
5.2. MARKET EVOLUTION
5.3. MARKET SEGMENTATION
5.3.1. BY COMPONENT
5.3.2. BY PRODUCT
5.3.3. BY APPLICATION
5.3.4. BY VERTICAL
5.3.5. BY GEOGRAPHY
5.4. MARKET DYNAMICS
5.4.1. DRIVERS
5.4.1.1. Increasing need for quality inspection and automation
5.4.1.2. Growing demand for vision-guided robotic systems
5.4.1.3. Growing demand for application-specific machine vision systems
5.4.1.4. Increasing adoption of 3D machine vision systems
5.4.2. RESTRAINTS
5.4.2.1. Varying end-user requirements
5.4.2.2. Lack of flexible machine vision solutions
5.4.3. OPPORTUNITIES
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
5.4.3.2. Advancements in vision technology and industrial expansion
5.4.3.3. Growing adoption of machine vision technology in unmanned aerial vehicle (UAV) drones
5.4.4. CHALLENGES
5.4.4.1. Complexity in integrating machine vision systems
5.4.4.2. Lack of user awareness about rapidly changing machine vision technology
6. INDUSTRY TRENDS
6.1. INTRODUCTION
6.2. VALUE CHAIN ANALYSIS
6.2.1. R&D
6.2.2. MACHINE VISION COMPONENT MANUFACTURERS
6.2.3. ORIGINAL EQUIPMENT MANUFACTURERS (OEMS)
6.2.4. SYSTEM INTEGRATORS
6.2.5. RESELLERS AND DISTRIBUTORS
6.2.6. END USERS
6.3. INDUSTRY AND TECHNOLOGY TRENDS
6.4. PORTER'S FIVE FORCES ANALYSIS
6.4.1. THREAT OF NEW ENTRANTS
6.4.2. THREAT OF SUBSTITUTES
6.4.3. BARGAINING POWER OF SUPPLIERS
6.4.4. BARGAINING POWER OF BUYERS
6.4.5. INTENSITY OF COMPETITIVE RIVALRY
7. MACHINE VISION MARKET, BY COMPONENT
7.1. INTRODUCTION
7.2. HARDWARE
7.2.1. CAMERA
7.2.1.1. Interface standards
7.2.1.1.1. Camera link
7.2.1.1.2. GigE
7.2.1.1.3. USB 3.0
7.2.1.1.4. CoaXPress
7.2.1.1.5. Others
7.2.1.2. By frame rate
7.2.1.2.1. <25. fps
7.2.1.2.2. 25-125. fps
7.2.1.2.3. >125. fps
7.2.1.3. By format
7.2.1.3.1. Line scan
7.2.1.3.2. Area scan
7.2.1.4. By sensor type
7.2.1.4.1. CMOS
7.2.1.4.2. CCD
7.2.2. FRAME GRABBER
7.2.3. OPTICS
7.2.4. LED LIGHTING
7.2.5. PROCESSOR
7.2.5.1. FPGA
7.2.5.2. DSP
7.2.5.3. Microcontroller and Microprocessor
7.3. SOFTWARE
7.3.1. APPLICATION SPECIFIC
7.3.2. DEEP LEARNING SOFTWARE
8. MACHINE VISION MARKET, BY PRODUCT
8.1. INTRODUCTION
8.2. PC-BASED MACHINE VISION SYSTEM
8.3. SMART CAMERA-BASED VISION SYSTEM
9. MACHINE VISION MARKET, BY APPLICATION
9.1. INTRODUCTION
9.2. QUALITY ASSURANCE & INSPECTION
9.3. POSITIONING AND GUIDANCE
9.4. MEASUREMENT
9.5. IDENTIFICATION
10. MACHINE VISION MARKET, BY VERTICAL
10.1. INTRODUCTION
10.2. INDUSTRIAL VERTICAL
10.2.1. AUTOMOTIVE
10.2.2. ELECTRONICS AND SEMICONDUCTOR
10.2.3. CONSUMER ELECTRONICS
10.2.4. GLASS
10.2.5. METALS
10.2.6. WOOD AND PAPER
10.2.7. PHARMACEUTICAL
10.2.8. FOOD AND PACKAGING
10.2.9. RUBBER AND PLASTIC
10.2.10. PRINTING
10.2.11. MACHINERY
10.2.12. SOLAR PANEL MANUFACTURING
10.3. NONINDUSTRIAL VERTICAL
10.3.1. HEALTHCARE
10.3.2. POSTAL AND LOGISTICS
10.3.3. SECURITY AND SURVEILLANCE
10.3.4. INTELLIGENT TRANSPORTATION SYSTEMS
10.3.5. AGRICULTURE
10.3.6. CONSUMER ELECTRONICS
10.3.7. AUTONOMOUS CARS
11. GEOGRAPHIC ANALYSIS
11.1. INTRODUCTION
11.2. NORTH AMERICA
11.2.1. U.S.
11.2.2. CANADA
11.2.3. MEXICO
11.3. EUROPE
11.3.1. GERMANY
11.3.2. U.K.
11.3.3. FRANCE
11.3.4. ITALY
11.3.5. SPAIN
11.3.6. REST OF EUROPE (ROE)
11.4. ASIA-PACIFIC (APAC)
11.4.1. CHINA
11.4.2. JAPAN
11.4.3. SOUTH KOREA
11.4.4. INDIA
11.4.5. REST OF APAC (ROAPAC)
11.5. REST OF THE WORLD (ROW)
11.5.1. SOUTH AMERICA
11.5.2. MIDDLE EAST
11.5.3. AFRICA
12. COMPETITIVE LANDSCAPE
12.1. OVERVIEW
12.2. KEY PLAYERS IN THE MACHINE VISION MARKET
12.3. COMPETITIVE SITUATIONS AND TRENDS
12.3.1. NEW PRODUCT DEVELOPMENTS
12.3.2. PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS
12.3.3. MERGERS & ACQUISITIONS
12.3.4. OTHER DEVELOPMENTS
12.3.5. EXPANSIONS
13. COMPANY PROFILES (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, Ratio Analysis, MnM View)*
13.1. INTRODUCTION
13.2. COGNEX CORPORATION
13.3. BASLER AG
13.4. OMRON CORPORATION
13.5. NATIONAL INSTRUMENTS CORPORATION
13.6. KEYENCE CORPORATION
13.7. SONY CORPORATION
13.8. TELEDYNE TECHNOLOGIES, INC.
13.9. TEXAS INSTRUMENTS, INC
13.10. ALLIED VISION TECHNOLOGIES GMBH
13.11. INTEL CORPORATION
13.12. BAUMER OPTRONIC GMBH
13.13. JAI A/S
*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
14.1. INSIGHTS OF INDUSTRY EXPERTS
14.2. DISCUSSION GUIDE
14.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
14.4. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
14.5. AVAILABLE CUSTOMIZATIONS
14.6. RELATED REPORTS
14.7. AUTHOR DETAILS
LIST OF TABLES
TABLE 1: CURRENCY TABLE
TABLE 2: MACHINE VISION MARKET: MARKET SIZE IN TERMS OF VALUE, 2014-2022
TABLE 3: MACHINE VISION MARKET, BY CAMERA, 2014-2022
TABLE 4: MACHINE VISION MARKET, BY COMPONENT, 2014-2022 (USD MILLION)
TABLE 5: MACHINE VISION MARKET, BY HARDWARE, 2014-2022 (USD MILLION)
TABLE 6: MACHINE VISION MARKET, BY CAMERA, 2014-2022 (MILLION UNITS & USD MILLION)
TABLE 7: MARKET FOR CAMERAS, BY INTERFACE STANDARDS, 2014-2022 (USD MILLION)
TABLE 8: MARKET FOR CAMERAS, BY FRAME RATE, 2014-2022 (USD MILLION)
TABLE 9: MARKET FOR CAMERAS, BY FORMAT, 2014-2022 (USD MILLION)
TABLE 10: MARKET FOR CAMERAS, BY SENSOR TYPE, 2014-2022 (USD MILLION)
TABLE 11: MARKET FOR CAMERAS, BY PROCESSOR, 2014-2022 (USD MILLION)
TABLE 12: MACHINE VISION CAMERA MARKET, BY SOFTWARE, 2014-2022 (USD MILLION)
TABLE 13: MACHINE VISION CAMERA MARKET, BY PRODUCT, 2014-2022 (USD MILLION)
TABLE 14: PC-BASED MACHINE VISION PRODUCT MARKET, BY REGION, 2014-2022 (USD MILLION)
TABLE 15: MACHINE VISION MARKET FOR PC-BASED PRODUCTS, BY INDUSTRIAL VERTICAL, 2014-2022 (USD MILLION)
TABLE 16: PC-BASED MACHINE VISION PRODUCT MARKET FOR AUTOMOTIVE VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 17: PC-BASED MACHINE VISION PRODUCT MARKET FOR CONSUMER ELECTRONICS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 18: PC-BASED PRODUCT MACHINE VISION MARKET FOR ELECTRONICS AND SEMICONDUCTOR VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 19: PC-BASED MACHINE VISION PRODUCT MARKET FOR PRINTING VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 20: MARKET FOR PC-BASED MACHINE VISION PRODUCT MARKETS FOR METALS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 21: PC-BASED MACHINE VISION PRODUCT MARKET FOR WOOD AND PAPER VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 22: PC-BASED MACHINE VISION PRODUCT MARKET FOR FOOD AND PACKAGING VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 23: PC-BASED MACHINE VISION PRODUCT MARKET FOR RUBBER AND PLASTIC VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 24: PC-BASED MACHINE VISION PRODUCT MARKET FOR PHARMACEUTICAL VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 25: PC-BASED MACHINE VISION PRODUCT MARKET FOR GLASS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 26: PC-BASED MACHINE VISION PRODUCT MARKET FOR MACHINERY VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 27: PC-BASED MACHINE VISION PRODUCT MARKET FOR SOLAR PANEL MANUFACTURING VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 28: MACHINE VISION MARKET FOR PC-BASED PRODUCTS, BY NONINDUSTRIAL VERTICAL, 2014-2022 (USD MILLION)
TABLE 29: PC-BASED MACHINE VISION PRODUCT MARKET FOR HEALTHCARE AND MEDICAL IMAGING VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 30: PC-BASED MACHING VISION PRODUCT MARKET FOR POSTAL AND LOGISTICS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 31: PC-BASED MACHINE VISION PRODUCT MARKET FOR ITS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 32: PC-BASED MACHINE VISION PRODUCT MARKET FOR SECURITY AND SURVEILLANCE VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 33: PC-BASED MACHINE VISION PRODUCT MARKET FOR AGRICULTURE VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 34: MACHINE VISION MARKET FOR SMART CAMERA-BASED PRODUCTS, BY REGION, 2014-2022 (USD MILLION)
TABLE 35: MACHINE VISION MARKET FOR SMART-CAMERA BASED PRODUCTS, BY INDUSTRIAL VERTICAL, 2014-2022 (USD MILLION)
TABLE 36: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR AUTOMOTIVE VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 37: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR CONSUMER ELECTRONICS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 38: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR ELECTRONICS AND SEMICONDUCTOR VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 39: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR PRINTING VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 40: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR METAL VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 41: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR WOOD & PAPER, BY REGION, 2014-2022 (USD MILLION)
TABLE 42: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR FOOD AND PACKAGING VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 43: CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR RUBBER AND PLASTIC VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 44: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR PHARMACEUTICAL VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 45: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR GLASS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 46: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR MACHINERY VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 47: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR SOLAR PANEL MANUFACTURING VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 48: MACHINE VISION MARKET FOR SMART CAMERA-BASED PRODUCTS, BY NONINDUSTRIAL VERTICAL, 2014-2022 (USD MILLION)
TABLE 49: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR HEALTHCARE VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 50: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR POSTAL AND LOGISTICS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 51: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR ITS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 52: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR SECURITY AND SURVEILLANCE VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 53: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR AGRICULTURE VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 54: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR CONSUMER ELECTRONICS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 55: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR AUTONOMOUS CARS VERTICAL, BY REGION, 2014-2022 (USD MILLION)
TABLE 56: MACHINE VISION MARKET FOR CAMERAS, BY APPLICATION, 2014-2022 (USD MILLION)
TABLE 57: MARKET FOR QUALITY ASSURANCE AND INSPECTION APPLICATION OF CAMERA, BY PRODUCT, 2014-2022 (USD MILLION)
TABLE 58: MARKET FOR POSITIONING AND GUIDANCE APPLICATION OF CAMERAS, BY PRODUCT, 2014-2022 (USD MILLION)
TABLE 59: MARKET FOR MEASUREMENT APPLICATION OF CAMERAS, BY PRODUCT, 2014-2022 (USD MILLION)
TABLE 60: MARKET FOR IDENTIFICATION APPLICATION OF CAMERAS, BY PRODUCT, 2014-2022 (USD MILLION)
TABLE 61: MACHINE VISION MARKET, BY VERTICAL, 2014-2022 (USD MILLION)
TABLE 62: MACHINE VISION MARKET, BY INDUSTRIAL VERTICAL, 2014-2022 (USD MILLION)
TABLE 63: MACHINE VISION MARKET, BY NONINDUSTRIAL VERTICAL, 2014-2022 (USD MILLION)
TABLE 64: MACHINE VISION MARKET, BY REGION, 2014-2022 (USD MILLION)
TABLE 65: MACHINE VISION MARKET IN NORTH AMERICA, BY COUNTRY, 2014-2022 (USD MILLION)
TABLE 66: MACHINE VISION MARKET IN NORTH AMERICA, BY VERTICAL, 2014-2022 (USD MILLION)
TABLE 67: MACHINE VISION MARKET IN EUROPE, BY COUNTRY, 2014-2022 (USD MILLION)
TABLE 68: MACHINE VISION MARKET IN EUROPE, BY VERTICAL, 2014-2022 (USD MILLION)
TABLE 69: MACHINE VISION MARKET IN APAC, BY COUNTRY, 2014-2022 (USD MILLION)
TABLE 70: MACHINE VISION MARKET IN APAC, BY VERTICAL, 2014-2022 (USD MILLION)
TABLE 71: MACHINE VISION MARKET IN ROW, BY REGION, 2014-2022 (USD MILLION)
TABLE 72: MACHINE VISION MARKET IN ROW, BY VERTICAL, 2014-2022 (USD MILLION)
TABLE 73: COMPANY REVENUES OF MAJOR PLAYERS, USD BILLION (2013-2015)
TABLE 74: TOP 5 PLAYERS IN THE MACHINE VISION MARKET, 2015
TABLE 75: NEW PRODUCT DEVELOPMENTS (2014-2016)
TABLE 76: PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS (2014-2016)
TABLE 77: MERGERS & ACQUISITIONS (2016)
TABLE 78: OTHER DEVELOPMENTS (2015)
TABLE 79: EXPANSIONS (2014-2016)
LIST OF FIGURES
FIGURE 1: MACHINE VISION MARKET SEGMENTATION
FIGURE 2: MACHINE VISION MARKET: RESEARCH DESIGN
FIGURE 3: RESEARCH FLOW
FIGURE 4: GLOBAL INDUSTRIAL CONTROL AND FACTORY AUTOMATION MARKET (2013-2022)
FIGURE 5: GLOBAL ARTIFICIAL INTELLIGENCE MARKET (2013-2022)
FIGURE 6: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
FIGURE 7: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
FIGURE 8: DATA TRIANGULATION
FIGURE 9: MACHINE VISION MARKET (2014-2022)
FIGURE 10: MACHINE VISION MARKET FOR IDENTIFICATION APPLICATION EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022
FIGURE 11: MARKET FOR SMART CAMERA-BASED MACHINE VISION SYSTEMS EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
FIGURE 12: HARDWARE COMPONENT EXPECTED TO HOLD THE LARGEST SIZE OF THE OVERALL MACHINE VISION MARKET DURING THE FORECAST PERIOD
FIGURE 13: MARKET FOR NONINDUSTRIAL VERTICAL EXPECTED TO GROW AT A HIGHER RATE DURING THE FORECAST PERIOD
FIGURE 14: APAC HELD THE LARGEST SIZE OF THE MACHINE VISION MARKET IN 2015
FIGURE 15: MACHINE VISION MARKET EXPECTED TO GROW AT A SIGNIFICANT RATE OWING TO INCREASING NEED FOR QUALITY INSPECTION BETWEEN 2016 AND 2022
FIGURE 16: INDUSTRIAL VERTICAL EXPECTED TO HOLD THE LARGEST SIZE OF THE OVERALL MACHINE VISION MARKET DURING THE FORCAST PERIOD
FIGURE 17: MACHINE VISION MARKET FOR IDENTIFICATION APPLICATION EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022
FIGURE 18: APAC EXPECTED TO HOLD THE LARGEST SHARE OF THE MACHINE VISION MARKET IN 2016
FIGURE 19: MACHINE VISION MARKET IN CHINA EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
FIGURE 20: APAC EXPECTED TO DOMINATE THE OVERALL MACHINE VISION MARKET BETWEEN 2016 AND 2022
FIGURE 21: EVOLUTION OF MACHINE VISION TECHNOLOGY
FIGURE 22: MACHINE VISION MARKET, BY GEOGRAPHY
FIGURE 23: INCREASING ADOPTION OF 3D MACHINE VISION SYSTEMS IS DRIVING THE GROWTH OF THE MACHINE VISION MARKET
FIGURE 24: GROWTH OF INDUSTRIAL ROBOTICS IN TERMS OF SHIPMENT BETWEEN 2010 AND 2015
FIGURE 25: AVERAGE YEARLY WAGES IN THE MANUFACTURING SECTOR IN CHINA
FIGURE 26: GROWING MARKET FOR UAV DRONES FOR INSPECTION AND MONITORING APPLICATION (2013-2020)
FIGURE 27: VALUE CHAIN ANALYSIS: MAXIMUM VALUE ADDED DURING COMPONENT AND EQUIPMENT MANUFACTURING AND SYSTEM INTEGRATION STAGES
FIGURE 28: INCREASING ADOPTION OF CLOUD COMPUTING TECHNIQUE IS A LEADING TREND IN THE MACHINE VISION MARKET
FIGURE 29: PORTER'S FIVE FORCES ANALYSIS, 2015
FIGURE 30: PORTER FIVE FORCE ANALYSIS, 2015
FIGURE 31: MACHINE VISION MARKET: THREAT OF NEW ENTRANTS
FIGURE 32: MACHINE VISION MARKET: THREAT OF SUBSTITUTES
FIGURE 33: MACHINE VISION MARKET: BARGAINING POWER OF SUPPLIERS
FIGURE 34: MACHINE VISION MARKET: BARGAINING POWER OF BUYERS
FIGURE 35: MACHINE VISION MARKET: INTENSITY OF COMPETITIVE RIVALRY
FIGURE 36: MACHINE VISION MARKET FOR SOFTWARE COMPONENT EXPECTED TO GROW AT A HIGHER RATE DURING THE FORECAST PERIOD
FIGURE 37: CAMERA LINK INTERFACE STANDARD EXPECTED TO HOLD THE LARGEST SIZE OF THE MACHINE VISION MARKET FOR HARDWARE COMPONENT DURING THE FORECAST PERIOD
FIGURE 38: THE MACHINE VISION MARKET FOR CAMERAS BASED ON AREA SCAN FORMAT EXPECTED TO GROW AT A HIGHER RATE DURING THE FORECAST PERIOD
FIGURE 39: THE MACHINE VISION MARKET BY FPGA PROCESSOR EXPECTED TO HOLD THE LARGEST MARKET SIZE BETWEEN 2016 AND 2022
FIGURE 40: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET EXPECTED TO GROW AT A HIGHER RATE DURING THE FORECAST PERIOD
FIGURE 41: PHARMACEUTICAL INDUSTRY VERTICAL EXPECTED TO HOLD THE LARGEST SHARE OF MACHINE VISION MARKET FOR PC-BASED PRODUCTS DURING THE FORECAST PERIOD
FIGURE 42: MACHINE VISION MARKET IN APAC FOR PC-BASED PRODUCTS EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
FIGURE 43: HEALTHCARE AND IMAGING VERTICAL EXPECTED TO HOLD THE LARGEST SIZE OF THE MACHINE VISION MARKET FOR PC-BASED PRODUCTS BY 2022
FIGURE 44: MACHINE VISION MARKET IN APAC FOR SMART CAMERA-BASED PRODUCTS EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
FIGURE 45: SMART CAMERA-BASED MACHINE VISION PRODUCT MARKET FOR AUTONOMOUS CARS EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
FIGURE 46: THE SMART CAMERA-BASED TMACHINE VISION PRODUCT MARKET IN APAC FOR CONSUMER ELECTRONICS VERTICAL EXPECTED TO HOLD THE LARGEST SHARE BY 2022
FIGURE 47: MACHINE VISION MARKET FOR IDENTIFICATION APPPLICATION EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
FIGURE 48: SMART CAMERA-BASED PRODUCTS EXPECTED TO GROW AT A HIGHER RATE IN THE MARKET FOR POSITIONING AND GUIDANCE APPLICATION OF CAMERAS DURING THE FORECAST PERIOD
FIGURE 49: SMART CAMERA-BASED PRODUCTS EXPECTED TO HOLD A LARGER SIZE IN THE MARKET FOR IDENTIFICATION APPLICATION OF CAMERAS DURING THE FORECAST PERIOD
FIGURE 50: INDUSTRIAL VERTICAL LIKELY TO HOLD THE LARGEST SIZE OF THE MACHINE VISION MARKET BETWEEN 2016 AND 2022
FIGURE 51: GEOGRAPHIC SNAPSHOT OF THE MACHINE VISION MARKET (2016-2022)
FIGURE 52: SNAPSHOT OF THE MACHINE VISION MARKET IN NORTH AMERICA
FIGURE 53: GERMANY EXPECTED TO HOLD THE LARGEST SIZE OF THE MACHINE VISION MARKET IN EUROPE BY 2022
FIGURE 54: SNAPSHOT OF THE MACHINE VISION MARKET IN APAC
FIGURE 55: MACHINE VISION MARKET FOR NONINDUSTRIAL VERTICAL IN ROW EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022
FIGURE 56: COMPANIES ADOPTED NEW PRODUCT LAUNCH AND DEVELOPMENT AS THE KEY GROWTH STRATEGY BETWEEN 2012 AND 2016
FIGURE 57: COGNEX CORPORATION REGISTERED THE HIGHEST GROWTH RATE IN TERMS OF REVENUE BETWEEN 2013 AND 2015
FIGURE 58: MARKET EVOLUTION FRAMEWORK - NEW PRODUCT DEVELOPMENTS AS THE MAJOR STRATEGY ADOPTED BY KEY PLAYERS (2012-2016)
FIGURE 59: BATTLE FOR MARKET RANKING: NEW PRODUCT DEVELOPMENTS AS THE KEY GROWTH STRATEGY
FIGURE 60: GEOGRAPHIC REVENUE MIX OF MAJOR MARKET PLAYERS
FIGURE 61: COGNEX CORPORATION: COMPANY SNAPSHOT
FIGURE 62: COGNEX CORPORATION: SWOT ANALYSIS
FIGURE 63: BASLER AG: COMPANY SNAPSHOT
FIGURE 64: BASLER AG: SWOT ANALYSIS
FIGURE 65: OMRAN CORPORATION: COMPANY SNAPSHOT
FIGURE 66: OMRON CORPORATION: SWOT ANALYSIS
FIGURE 67: NATIONAL INSTRUMENTS CORPORATION: COMPANY SNAPSHOT
FIGURE 68: NATIONAL INSTRUMENTS CORPORATION: SWOT ANALYSIS
FIGURE 69: KEYENCE CORPORATION: SWOT ANALYSIS
FIGURE 70: SONY CORPORATION: COMPANY SNAPSHOT
FIGURE 71: TELEDYNE TECHNOLOGIES, INC.: COMPANY SNAPSHOT
FIGURE 72: TEXAS INSTRUMENTS, INC.: COMPANY SNAPSHOT
FIGURE 73: INTEL CORPORATION: COMPANY SNAPSHOT
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