세계의 AI 비전 시장(-2029년) : 비전 소프트웨어(API, SDK), 비전 플랫폼, 행동 분석, OCR, 공간 분석, 이미지 인식, 히트맵 분석, 머신러닝, 딥러닝, CNN, 생성형 AI별
AI Vision Market by Vision Software (API, SDK), Vision Platform, Behavioral Analysis, Optical Character Recognition, Spatial Analysis, Image Recognition, Heatmap Analysis, Machine Learning, Deep Learning, CNN, Generative AI - Global Forecast to 2029
상품코드:1655430
리서치사:MarketsandMarkets
발행일:2025년 02월
페이지 정보:영문 250 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
AI 비전 시장 규모는 2024년 148억 5,000만 달러에서 예측 기간 동안 23.7%의 CAGR로 2029년에는 430억 2,000만 달러 규모로 성장할 것으로 예상됩니다.
AI 비전 시장은 클라우드 컴퓨팅, 머신러닝(ML), 딥러닝의 높은 도입률로 인해 가속화된 성장세를 보이고 있습니다. 엣지 컴퓨팅의 발전은 자동차 및 제조 산업에서 실시간 분석에 대한 수요를 증가시키고 있습니다. 그러나 이 시장은 법적 리스크, 평판 리스크, 보장된 수준의 정확성을 확보하는 데 필요한 데이터 품질 등의 문제에 직면해 있습니다. 따라서 AI를 차세대 비전 솔루션에 통합하는 것은 소매, 제조, 헬스케어 등 다양한 산업에서 새로운 비즈니스 기회를 창출하며 시장을 주도하고 있습니다.
조사 범위
조사 대상 연도
2020-2029년
기준 연도
2023년
예측 기간
2024-2029년
단위
금액(달러)
부문별
제공, 서비스 유형, 기술, 운영 방식, 산업, 지역별
대상 지역
북미, 유럽, 아시아태평양, 기타 지역
"산업별로는 헬스케어 부문이 예측 기간 동안 시장을 주도할 것으로 예상"
AI 비전은 전방위적인 진단 정확도, 맞춤형 치료 계획, 지속적인 환자 모니터링 지원 및 신속한 의사결정을 제공함으로써 의료 산업에 영향을 미치며, AI 비전은 효율성을 개선하고 병원 비용을 절감할 수 있습니다. 의료 전문가들은 암 발견 및 수술 지원과 같은 중요한 작업에서 AI 비전에 대한 의존도를 높이고 있으며, 이러한 기술에 대한 수요는 계속 증가할 것으로 예상됩니다.
"비전 소프트웨어 부문은 시장에서 두 번째로 높은 CAGR로 성장할 것으로 예상"
비전 소프트웨어는 헬스케어, 제조, 소매 등 다양한 산업에서 확장 가능하고 효율적인 AI 솔루션에 대한 수요가 증가함에 따라 상당한 성장이 예상되며, AI와 머신러닝의 지속적인 발전과 함께 이러한 도구는 소매업의 고객 추적, 제조의 운영 효율성 향상과 같은 작업에 필수적인 도구가 되고 있습니다. 제조업의 고객 추적 및 업무 효율성 향상과 같은 업무에 필수적인 도구가 되고 있습니다. 기업들이 전략적 의사결정에 시각적 데이터를 활용하고자 하는 경향이 높아짐에 따라, 비전 소프트웨어의 채택은 계속 확대될 것이며, AI 비전 시장의 중요한 구성요소로 자리매김할 것으로 보입니다.
"북미가 두 번째 시장 점유율을 차지할 것으로 예상"
기술 발전과 헬스케어, 제조업, 소매업에서의 대대적인 도입으로 북미는 AI 비전 시장에서 2위를 차지하고 있으며, Microsoft Corporation(미국), NVIDIA Corporation(미국), Alphabet, Inc(미국) 등 주요 기술 기업들이 시장을 주도하고 있습니다. 등의 주요 기술 기업들이 시장을 주도하고 있습니다. 동시에 AI 연구개발에 대한 정부의 자금 지원도 이 산업에 대한 추가적인 지원으로 작용하고 있습니다. 캐나다는 컴퓨팅 인프라와 책임감 있는 AI 연구 역량 강화에 주력하고 있으며, 이는 이 지역의 강점을 더욱 강화하는 데 기여하고 있습니다. 멕시코는 지속적으로 인프라를 업그레이드하고 AI 관련 비즈니스를 지원하기 위해 노력하고 있습니다. 이러한 모든 요소들이 결합되어 혁신을 촉진하고 북미 전역에 AI 비전 솔루션의 통합을 보장하는 역동적인 환경을 조성하고 있습니다.
세계 AI 비전 시장을 조사했으며, 시장 개요, 시장 성장에 영향을 미치는 각종 영향요인 분석, 기술·특허 동향, 규제 환경, 사례 연구, 시장 규모 추정 및 예측, 각종 부문별·지역별·주요 국가별 상세 분석, 경쟁 상황, 주요 기업 프로파일 등의 정보를 정리하여 전해드립니다.
목차
제1장 소개
제2장 조사 방법
제3장 주요 요약
제4장 주요 인사이트
제5장 시장 개요
시장 역학
성장 촉진요인
성장 억제요인
기회
과제
밸류체인 분석
생태계 분석
고객의 사업에 영향을 미치는 동향/디스럽션
가격 분석
기술 분석
Porter's Five Forces 분석
주요 이해관계자와 구입 기준
사례 연구 분석
투자와 자금 조달 시나리오
무역 분석
특허 분석
주요 회의와 이벤트
규제 상황
제6장 AI 비전 이용 사례
자율주행차
증강현실 디바이스
로봇 비전 시스템
3D 프린터
의료 영상 솔루션
교통 감시 시스템
자동 번호판 인식 시스템
보안 및 감시 시스템
디지털 자산 관리 솔루션
제7장 AI 비전 시장 : 제공별
비전 플랫폼
비전 소프트웨어
API
소프트웨어 개발 키트
맞춤형 솔루션
제8장 AI 비전 시장 : 서비스 유형별
행동 분석
안면 인식
OCR
공간 분석
모션 검출
침입 감지
주위 감시
이미지 인식
히트맵 분석
군중 밀도 분석
제9장 AI 비전 시장 : 기술별
머신러닝
딥러닝
합성곱 신경망
생성형 AI
제10장 AI 비전 시장 : 운영 방식별
엣지 추론
클라우드 기반 학습
제11장 AI 비전 시장 : 산업별
운송·물류
소매
헬스케어
제조
농업
석유 및 가스
건설
기타
제12장 AI 비전 시장 : 지역별
북미
거시경제 요인
미국
캐나다
멕시코
유럽
거시경제 요인
독일
영국
프랑스
이탈리아
기타
아시아태평양
거시경제 요인
중국
일본
한국
기타
기타 지역
거시경제 요인
중동
아프리카
남미
제13장 경쟁 구도
개요
주요 진출 기업 전략/강점
매출 분석
시장 점유율 분석
기업 가치 평가와 재무 지표
브랜드/제품 비교
기업 평가 매트릭스 : 주요 기업
기업 평가 매트릭스 : 스타트업/중소기업
경쟁 시나리오
제14장 기업 개요
주요 기업
NVIDIA CORPORATION
MICROSOFT CORPORATION
INTEL CORPORATION
ALPHABET INC.
AMAZON.COM, INC.
IBM
ORACLE
COGNEX CORPORATION
QUALCOMM TECHNOLOGIES, INC.
STMICROELECTRONICS
AVNET, INC.
AVEVA GROUP LIMITED
기타 기업
SYMPHONYAI
APERA AI
CHOOCH
IRONYUN INC.
KYUNGWOO SYSTECH, INC.
LANDINGAI
ML6
OPENSISTEMAS
ROBOVISION BV
SENSETIME
SEVENLAB
SOLOMON TECHNOLOGY CORPORATION
VISO.AI
ZEBRA TECHNOLOGIES
AI VISION TECHNOLOGIES LLC
HELLBENDER
MVISION AI
제15장 부록
KSM
영문 목차
영문목차
The global AI vision market is expected to reach USD 43.02 billion in 2029 from USD 14.85 billion in 2024, at a CAGR of 23.7% during the forecast period. The AI vision market is experiencing accelerated growth due to the high adoption of cloud computing, machine learning (ML), and deep learning (DL). Advancements in edge computing boost the demand for real-time analytics in the automotive and manufacturing sectors. However, the market faces challenges from legal as well as reputational risks and the quality of data that is required to produce a guaranteed level of accuracy. As such, the integration of AI into the next-generation vision solution is driving the market forward with some new opportunities that have emerged across various industries, such as retail, manufacturing, and healthcare.
Scope of the Report
Years Considered for the Study
2020-2029
Base Year
2023
Forecast Period
2024-2029
Units Considered
Value (USD Billion)
Segments
By Offering, By Service Type, By Technology, By mode of Operation, By Vertical, and Region
Regions covered
North America, Europe, APAC, RoW
"Healthcare vertical segment is expected to dominate during the forecast period."
The healthcare vertical is expected to dominate the AI vision market. This segment has the highest impact on medical diagnostics and patient care. AI vision influences the healthcare vertical by providing all-around diagnosis accuracy, individualized treatment plans, support for continuous patient monitoring, and faster decision-making. It improves efficiency and reduces hospital costs. As medical professionals increasingly rely on AI vision for critical tasks like cancer detection and surgery assistance, the demand for these technologies will continue to grow.
"Vision software segment is expected to grow at second highest CAGR in AI vision market."
The vision software segment has the second-highest growth rate in the AI vision market. Vision software is expected to experience substantial growth as it addresses the rising demand for scalable and efficient AI solutions across various verticals, such as healthcare, manufacturing, retail, and others. With continuous advancements in artificial intelligence and machine learning, these tools are becoming indispensable for tasks such as customer tracking in retail and enhancing operational efficiency in manufacturing. As organizations increasingly aim to utilize visual data for strategic decision-making, the adoption of vision software will continue to expand, solidifying its role as a vital component of the AI vision market.
"North America is projected to hold the second largest market share in the AI vision market."
North American region will hold the second largest share in the AI vision market during the forecast period. With increased technological advancements and substantial adoption in the healthcare, manufacturing, and retail industries, North America ranks as the second-largest AI vision market. Major technology companies such as Microsoft Corporation (US), NVIDIA Corporation (US), and Alphabet, Inc (US) are driving the market. At the same time, government funding for research and development in AI takes on the added support provided to this industry. Canada's focus on improving its computing infrastructure and responsible AI research capability also adds to the region's strength. Mexico is continually trying to upgrade its infrastructure and support businesses involved in AI. All these combined factors strengthen a dynamic environment that promotes innovation and ensures the integration of AI vision solutions across North America.
By Company Type: Tier 1 - 25%, Tier 2 - 40%, and Tier 3 - 35%
By Designation: C-level Executives - 28%, Directors - 30%, and Others - 42%
By Region: North America- 37%, Europe - 15%, Asia Pacific- 43% and RoW- 5%
NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), IBM (US), Oracle (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), STMicroelectronics (Switzerland) are some of the key players in the AI vision market.
The study includes an in-depth competitive analysis of these key players in the AI vision market, as well as their company profiles, recent developments, and key market strategies.
Research Coverage
This research report categorizes the AI vision market by offering (Vision Software, Vision Platforms, and Custom Solutions), by service type (Behavioral Analysis, Optical Character Recognition, Spatial Analysis, Image Recognition, and Heatmap Analysis), by technology (Machine Learning (Deep Learning, and Convolutional Neural Networks), and Generative AI), by mode of operation (Edge Inferencing and Cloud-based Learning), by vertical (Transportation & Logistics, Retail, Healthcare, Manufacturing, Agriculture, Oil & Gas, Construction, and Other Verticals (Telecommunications, Automotive, Energy & Power, and Robotics)), and by region (North America, Europe, Asia Pacific, and RoW). The report's scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI vision market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; new product & service launches, mergers and acquisitions; and recent developments associated with the AI vision market. This report covers the competitive analysis of upcoming startups in the AI vision market ecosystem.
Reasons to buy this report
The report will help market leaders and new entrants with information on the closest approximations of the revenue numbers for the overall AI vision market and its subsegments. It will also 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.
The report provides insights on the following pointers:
Analysis of key drivers (growing inclination toward cloud computing, integration of ML and DL technologies into next-generation vision solutions, increasing adoption of edge computing, surging need for real-time analytics across automotive and manufacturing sectors), restraints (legal and reputational risks, dependence on high-quality data for accurate results), opportunities (rapid innovations in healthcare, growing demand for optical character recognition technology from AI vision system providers, increasing number of smart city projects), and challenges (complexities associated with maintenance and upgrades, high data storage and management costs, training AI vision models effectively for optimal performance) influencing the growth of the AI vision market
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI vision market
Market Development: The report provides comprehensive information about lucrative markets and analyses the AI vision market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI vision market
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the AI vision market, such as NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), IBM (US), Oracle (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), and STMicroelectronics (Switzerland), among others in the AI vision market.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 INCLUSIONS AND EXCLUSIONS
1.3.2 MARKETS COVERED AND REGIONAL SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 LIMITATIONS
1.6 MARKET STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of major secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 Breakdown of primaries
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.1.3.1 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis (supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ASSESSMENT
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI VISION MARKET
4.2 AI VISION MARKET IN NORTH AMERICA, BY COUNTRY AND VERTICAL
5.2.1.2 Integration of ML and DL technologies into next-generation vision solutions
5.2.1.3 Increasing adoption of edge computing
5.2.1.4 Surging need for real-time analytics across automotive and manufacturing sectors
5.2.2 RESTRAINTS
5.2.2.1 Legal and reputational risks
5.2.2.2 Dependence on high-quality data for accurate results
5.2.3 OPPORTUNITIES
5.2.3.1 Rapid innovations in healthcare
5.2.3.2 Growing demand for optical character recognition technology from AI vision system providers
5.2.3.3 Increasing number of smart city projects
5.2.3.4 Enhancing proactive monitoring with AI vision in security and surveillance
5.2.4 CHALLENGES
5.2.4.1 Complexities associated with system maintenance and upgrades
5.2.4.2 High data storage and management costs
5.2.4.3 Training AI vision models effectively for optimal performance
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.6 PRICING ANALYSIS
5.6.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING
5.6.2 AVERAGE SELLING PRICE TREND OF VISION PLATFORMS OFFERED BY KEY PLAYERS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Edge computing
5.7.1.2 Machine learning
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Internet of Things (IoT)
5.7.2.2 5G connectivity
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Deep learning
5.7.3.2 Augmented natural language processing (NLP)
5.8 PORTER'S FIVE FORCES ANALYSIS
5.8.1 INTENSITY OF COMPETITIVE RIVALRY
5.8.2 BARGAINING POWER OF SUPPLIERS
5.8.3 BARGAINING POWER OF BUYERS
5.8.4 THREAT OF SUBSTITUTES
5.8.5 THREAT OF NEW ENTRANTS
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.9.2 BUYING CRITERIA
5.10 CASE STUDY ANALYSIS
5.10.1 WATER UTILITY COMPANY IMPLEMENTED IRONYUN'S VAIDIO AI VISION PLATFORM TO AVOID FALSE ALERTS
5.10.2 MIDWEST POLICE DEPARTMENT DEPLOYED IRONYUN'S VAIDIO LPR AND VIDEO SEARCH SOLUTIONS FOR FASTER CRIME DETECTION AND INVESTIGATION
5.10.3 BENGALURU AIRPORT EMPLOYED INDUSTRY.AI'S VISION AI PLATFORM AND NVIDIA'S AI TOOLS TO ENSURE REAL-TIME MONITORING AND EFFECTIVE TERMINAL MANAGEMENT
5.10.4 PEPSICO IMPLEMENTED KOIREADER TECHNOLOGIES' AI-POWERED MACHINE VISION TECHNOLOGY TO ENHANCE LABEL AND BARCODE SCANNING ACCURACY
5.10.5 MULTINATION PHARMA COMPANY DEPLOYED SOLOMON'S SOLVISION AI TO DETECT DEFECTIVE TABLETS IN REAL TIME
5.11 INVESTMENT AND FUNDING SCENARIO
5.12 TRADE ANALYSIS
5.12.1 IMPORT DATA (HS CODE 852580)
5.12.2 EXPORT DATA (HS CODE 852580)
5.13 PATENT ANALYSIS
5.14 KEY CONFERENCES AND EVENTS, 2024-2026
5.15 REGULATORY LANDSCAPE
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.15.2 STANDARDS AND REGULATIONS
6 USE CASES FOR AI VISION
6.1 INTRODUCTION
6.2 AUTONOMOUS VEHICLES
6.3 AUGMENTED REALITY DEVICES
6.4 ROBOTIC VISION SYSTEMS
6.5 3D PRINTERS
6.6 MEDICAL IMAGING SOLUTIONS
6.7 TRAFFIC MONITORING SYSTEMS
6.8 AUTOMATED LICENSE PLATE RECOGNITION SYSTEMS
6.9 SECURITY AND SURVEILLANCE SYSTEMS
6.10 DIGITAL ASSET MANAGEMENT SOLUTIONS
7 AI VISION MARKET, BY OFFERING
7.1 INTRODUCTION
7.2 VISION PLATFORMS
7.2.1 PRESSING NEED FOR REAL-TIME DATA ANALYSIS TO DRIVE SEGMENTAL GROWTH
7.3 VISION SOFTWARE
7.3.1 APPLICATION PROGRAMMING INTERFACES
7.3.1.1 Growing demand for cloud services to accelerate segmental growth
7.3.2 SOFTWARE DEVELOPMENT KITS
7.3.2.1 Increasing investments in AI and ML technologies to fuel segmental growth
7.4 CUSTOM SOLUTIONS
7.4.1 ADVANCEMENTS IN EDGE COMPUTING TO SUPPORT MARKET GROWTH
8 AI VISION MARKET, BY SERVICE TYPE
8.1 INTRODUCTION
8.2 BEHAVIORAL ANALYSIS
8.2.1 GROWING NEED TO MONITOR CROWD BEHAVIOR IN PUBLIC PLACES TO ACCELERATE MARKET GROWTH
8.2.2 FACIAL RECOGNITION
8.3 OPTICAL CHARACTER RECOGNITION
8.3.1 INCREASING AUTOMATION IN DATA PROCESSING AND DOCUMENT MANAGEMENT TO BOOST MARKET GROWTH
8.4 SPATIAL ANALYSIS
8.4.1 MOTION DETECTION
8.4.1.1 Elevating deployment of smart home and home automation devices to boost segmental growth
8.4.2 INTRUSION DETECTION
8.4.2.1 Increasing cyberattacks and rising security threats to drive market
8.4.3 MONITORING SURROUNDINGS
8.4.3.1 Increasing smart city projects to foster market growth
8.5 IMAGE RECOGNITION
8.5.1 GOVERNMENT INVESTMENTS TO MINIMIZE RETAIL CRIMES TO SUPPORT MARKET GROWTH
8.6 HEATMAP ANALYSIS
8.6.1 INCREASING DEMAND FOR ADVANCED CROWD MANAGEMENT SOLUTIONS TO DRIVE MARKET
8.6.2 CROWD DENSITY ANALYSIS
9 AI VISION MARKET, BY TECHNOLOGY
9.1 INTRODUCTION
9.2 MACHINE LEARNING
9.2.1 DEEP LEARNING
9.2.1.1 Government and private sector funding for R&D in AI and DL to foster market growth
9.2.2 CONVOLUTIONAL NEURAL NETWORKS
9.2.2.1 Increasing use of automation across several industries to boost segmental growth
9.3 GENERATIVE AI
9.3.1 RISING NEED FOR SOPHISTICATED CONTENT CREATION TO SUPPORT MARKET GROWTH
10 AI VISION MARKET, BY MODE OF OPERATION
10.1 INTRODUCTION
10.2 EDGE INFERENCING
10.2.1 EASY SETUP AND TRAINING PROCESS TO BOOST ADOPTION
10.3 CLOUD-BASED LEARNING
10.3.1 RISING DEMAND FOR SCALABLE, EFFICIENT, AND ACCESSIBLE AI SOLUTIONS TO DRIVE MARKET
11 AI VISION MARKET, BY VERTICAL
11.1 INTRODUCTION
11.2 TRANSPORTATION & LOGISTICS
11.2.1 INVESTMENT IN ADVANCED LOGISTICS HUBS AND WAREHOUSES TO BOOST SEGMENTAL GROWTH
11.3 RETAIL
11.3.1 GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET
11.4 HEALTHCARE
11.4.1 PRESSING NEED FOR ACCURATE AND EFFICIENT MEDICAL DIAGNOSTICS AND IMPROVED PATIENT CARE TO ACCELERATE DEMAND
11.5 MANUFACTURING
11.5.1 ABILITY OF AI VISION TO DETECT MINUTE DEFECTS AND ENSURE COMPLIANCE WITH QUALITY STANDARDS TO STIMULATE DEMAND
11.6 AGRICULTURE
11.6.1 INVESTMENTS IN ADVANCED AGRICULTURAL TECHNOLOGIES TO BOOST SEGMENT GROWTH
11.7 OIL & GAS
11.7.1 RISING FOCUS OF OIL AND GAS COMPANIES ON AUTOMATING COMPLEX PROCESSES TO FUEL MARKET GROWTH
11.8 CONSTRUCTION
11.8.1 ESCALATING REQUIREMENT TO TRACK PROGRESS AGAINST PROJECT TIMELINES TO CREATE OPPORTUNITIES
11.9 OTHER VERTICALS
12 AI VISION MARKET, BY REGION
12.1 INTRODUCTION
12.2 NORTH AMERICA
12.2.1 MACROECONOMIC FACTORS FOR NORTH AMERICA
12.2.2 US
12.2.2.1 Increasing investments by government and technology giants in cutting-edge technologies to drive market
12.2.3 CANADA
12.2.3.1 Strategic government investments in AI infrastructure development to fuel market growth
12.2.4 MEXICO
12.2.4.1 Surging adoption of AI-powered solutions in manufacturing sector to boost market growth
12.3 EUROPE
12.3.1 MACROECONOMIC FACTORS FOR EUROPE
12.3.2 GERMANY
12.3.2.1 Increasing number of AI startups to contribute to market growth
12.3.3 UK
12.3.3.1 Commitment to becoming global leader in artificial intelligence to accelerate market growth
12.3.4 FRANCE
12.3.4.1 Robust research and strategic investments in establishing AI startups to fuel market growth
12.3.5 ITALY
12.3.5.1 Significant focus on developing and scaling AI vision technologies to create growth opportunities
12.3.6 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 MACROECONOMIC FACTORS FOR ASIA PACIFIC
12.4.2 CHINA
12.4.2.1 Ventures between research institutions and entrepreneurs to drive market
12.4.3 JAPAN
12.4.3.1 Investment in digital skilling programs to accelerate market growth
12.4.4 SOUTH KOREA
12.4.4.1 Startup Koria policy and government investment in AI development to support market growth
12.4.5 REST OF ASIA PACIFIC
12.5 ROW
12.5.1 MACROECONOMIC FACTORS FOR ROW
12.5.2 MIDDLE EAST
12.5.2.1 Strategic investments in digital transformation and innovation to spike demand
12.5.2.2 GCC countries
12.5.2.3 Rest of Middle East & Africa
12.5.3 AFRICA
12.5.3.1 International collaborations funding AI projects to boost market growth
12.5.4 SOUTH AMERICA
12.5.4.1 Increasing public-private sector investments in AI technology to fuel market growth
13 COMPETITIVE LANDSCAPE
13.1 OVERVIEW
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2024
13.3 REVENUE ANALYSIS, 2019-2023
13.4 MARKET SHARE ANALYSIS, 2023
13.5 COMPANY VALUATION AND FINANCIAL METRICS
13.6 BRAND/PRODUCT COMPARISON
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
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, 2023
13.7.5.1 Company footprint
13.7.5.2 Mode of operation footprint
13.7.5.3 Technology footprint
13.7.5.4 Offering footprint
13.7.5.5 Vertical footprint
13.7.5.6 Region footprint
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
