세계의 컴퓨터 비전용 AI 시장 예측(-2030년) : 용도별, 기능별, 기술별, 업계별, 오퍼링별, 지역별
AI in Computer Vision Market by Offering (Cameras, Frame Grabbers, Optics, LED Lighting, CPU, GPU, ASIC, FPGA, AI Vision Software, AI Platform), Technology (Machine Learning, GenAI), Function (Training, Inference), Application - Global Forecast to 2030
상품코드:1630476
리서치사:MarketsandMarkets
발행일:2024년 12월
페이지 정보:영문 280 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계의 컴퓨터 비전용 AI 시장 규모는 2025년 234억 2,000만 달러에서 2030년에는 634억 8,000만 달러에 달할 것으로 예측되고 있으며, 2025-2030년 CAGR은 22.1%에 달할 것으로 예측됩니다.
컴퓨터 비전용 AI 시장의 성장률은, 기계학습 알고리즘의 개선, 계산 능력의 향상, 고품질 영상 데이터의 확대에 의해 가속하고 있습니다.의료, 소매, 제조, 자동차 등의 업계에서 AI 비전 솔루션을 진단, 재고 관리, 품질관리, 자율주행차 등에 적용하려는 움직임이 가속화되고 있습니다. 그러나 도입 비용과 데이터 프라이버시에 대한 우려가 커지는 가운데, 자동화, 효율적인 운영, 실용적인 분석에 대한 요구가 이러한 성장을 촉진하고 있습니다. 엣지 컴퓨팅과 클라우드 서비스 및 5G 기술의 결합은 AI 비전 솔루션의 적응성과 속도를 높여 시장 성장을 더욱 촉진하고 있습니다.
조사 범위
조사 대상년
2021-2030년
기준년
2023년
예측 기간
2025-2030년
검토 단위
금액(10억 달러)
부문별
용도별, 기능별, 기술별, 업계별, 오퍼링별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 기타 지역
기계학습은 AI 기반 컴퓨터 비전의 성공을 지원하는 근간입니다. 딥러닝 및 컨볼루션 신경망과 같은 최신 기술을 통해 AI는 실시간으로 패턴을 인식하고, 물체를 감지하고, 장면을 해석할 수 있습니다. AI의 빠른 도입은 헬스케어 진단부터 제조업의 품질관리, 소매업의 고객 행동 분석에 이르기까지 다양한 산업을 변화시키고 있습니다. 스마트폰, 센서, 감시 카메라의 시각 데이터 증가는 컴퓨터 비전 분야의 AI 시장 성장을 더욱 가속화하고 있습니다. 엣지 기반 머신러닝의 새로운 혁신은 컴퓨터 비전 AI를 더 빠르고, 더 똑똑하고, 더 광범위하게 배포할 수 있게 함으로써 다양한 산업에서 기회의 창을 만들어내고 있습니다.
CE(Consumer Electronics) 분야의 컴퓨터 비전 AI 시장은 빠르게 성장할 것으로 예상됩니다. 더 많은 AI 기술이 스마트 기기에 통합되고 있기 때문입니다. 여기에는 스마트폰, 웨어러블, 가전제품 등이 포함됩니다. 이러한 기능을 통해 얼굴 인식, 물체 감지, 증강현실(AR), 자동 이미지 처리와 같은 고급 용도이 사용자 경험을 향상시킬 수 있습니다. 게임용 AR, 접근 수단으로서의 얼굴 인식, 스마트홈자동화와 같은 기능에 대한 수요 증가는 이 시장의 성장을 가속하는 요인으로 볼 수 있습니다.
스마트 커넥티드 디바이스의 높은 보급률과 IoT의 급속한 성장은 가전제품의 AI 기반 솔루션 및 기술 수용을 더욱 촉진하고 있으며, AI 기반 컴퓨터 비전은 스마트폰에서 로봇 청소기에 이르기까지 최종사용자와의 관계를 보다 스마트하고 직관적으로 개선할 수 있는 새로운 방법과 인사이트을 제공합니다. 사용자 경험을 보다 스마트하고 직관적으로 개선할 수 있는 새로운 방법과 인사이트을 제공합니다.
기술 발전에 따른 투자 확대가 이 산업을 주도하고 있으며, Phiar Technologies, Scandit 등은 AI를 활용한 컴퓨터 비전과 데이터 수집 프로세스 간소화를 기반으로 한 증강현실 내비게이션 솔루션을 개발하고 있습니다. 투자자들은 소비자 전자제품의 지속적 이고 지속적인 성장 잠재력을 인식하고 AI의 발전을 촉진하고 있습니다. 소비자 전자제품에 AI를 적용할 수 있는 새로운 기회는 앞으로도 계속 늘어날 것으로 예상됩니다.
세계의 컴퓨터 비전용 AI 시장에 대해 조사했으며, 용도별, 기능별, 기술별, 업계별, 오퍼링별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요
서론
시장 역학
밸류체인 분석
에코시스템 분석
고객 비즈니스에 영향을 미치는 동향/혼란
가격 분석
기술 분석
Porter's Five Forces 분석
주요 이해관계자와 구입 기준
사례 연구 분석
투자와 자금조달 시나리오
무역 분석
특허 분석
2024-2025년의 주요 컨퍼런스와 이벤트
규제 상황
제6장 컴퓨터 비전용 AI 사용 사례
서론
물체 탐지
영상 인식
얼굴 인식
동작 분석
머신 비전
제7장 AI 기반 컴퓨터 비전에서 사용되는 기계학습 모델
서론
지도 학습
비지도 학습
강화 학습
제8장 컴퓨터 비전용 AI 시장, 용도별
서론
품질 보증과 검사
측정
식별
예측 정비
포지셔닝과 가이던스
제9장 컴퓨터 비전용 AI 시장, 기능별
서론
트레이닝
추론
제10장 컴퓨터 비전용 AI 시장, 기술별
서론
기계학습
생성형 AI
제11장 컴퓨터 비전용 AI 시장, 업계별
서론
자동차
가전
헬스케어
소매
보안·감시
제조
농업
운송·물류
기타
제12장 컴퓨터 비전용 AI 시장, 오퍼링별
서론
카메라
프레임 그래버
광학
LED 조명
프로세서
AI 비전 소프트웨어
AI 플랫폼
제13장 컴퓨터 비전용 AI 시장, 지역별
서론
북미
북미의 거시경제 전망
미국
캐나다
멕시코
유럽
유럽의 거시경제 전망
영국
독일
프랑스
이탈리아
기타
아시아태평양
아시아태평양의 거시경제 전망
중국
일본
한국
인도
기타
기타 지역
기타 지역의 거시경제 전망
중동
데이터센터 및 AI 연구 프로젝트에 대한 투자 증가에 의해 수요가 급증
아프리카
남미
제14장 경쟁 구도
개요
주요 참여 기업의 전략/강점, 2020-2024년
매출 분석, 2019-2023년
시장 점유율 분석, 2023년
기업 가치 평가와 재무 지표
브랜드/제품 비교
기업 평가 매트릭스 : 주요 참여 기업, 2023년
기업 평가 매트릭스 : 스타트업/중소기업, 2023년
경쟁 시나리오
제15장 기업 개요
주요 참여 기업
NVIDIA CORPORATION
MICROSOFT CORPORATION
ALPHABET INC.
AMAZON.COM, INC.
INTEL CORPORATION
COGNEX CORPORATION
QUALCOMM TECHNOLOGIES, INC.
SONY GROUP CORPORATION
OMRON CORPORATION
KEYENCE CORPORATION
SICK AG
TELEDYNE TECHNOLOGIES INCORPORATED
TEXAS INSTRUMENTS INCORPORATED
BASLER AG
HAILO TECHNOLOGIES LTD
기타 기업
SIGHTHOUND, INC.
NEURALA, INC.
DATAGEN TECHNOLOGIES
GRAPHCORE
ROBOTIC VISION TECHNOLOGIES INC.
CUREMETRIX, INC.
SNORKEL AI, INC.
AMP
VISO.AI
LANDINGAI
제16장 부록
KSA
영문 목차
영문목차
The global AI in computer vision market is projected to reach USD 63.48 billion in 2030 from USD 23.42 billion in 2025; it is expected to grow at a CAGR of 22.1% from 2025 to 2030. Growth rates in the market for AI in computer vision are accelerating with improvements in machine learning algorithms, increasing computational power, and expansion of high-quality image data. Industries such as health care, retail, manufacturing, and automotive are increasingly applying AI vision solutions to diagnostics, inventory management, quality control, and autonomous vehicles. However, with rising concerns regarding costs associated with implementation or data privacy, demands for increased automation and efficient operation as well as actionable analysis are driving this growth. Edge computing coupled with cloud services and 5G technology increases the adaptability and speed of AI vision solutions, further boosting the market growth.
Scope of the Report
Years Considered for the Study
2021-2030
Base Year
2023
Forecast Period
2025-2030
Units Considered
Value (USD Billion)
Segments
By Component, Function, Application, End-use Industry.
Regions covered
North America, Europe, APAC, RoW
"Machine learning segment is expected to dominate during the forecast period."
Machine learning is the backbone to the success of AI-enabled computer vision. Modern techniques, such as deep learning and convolutional neural networks, enable AI to recognize patterns, detect objects, and interpret scenes in real-time. Its swift adoption is transforming various industries-from healthcare diagnostics, to quality control in manufacturing, to customer behavior analytics in retail-where no one will be relying on massive workforces. The increasing visual data from smartphones, sensors, and surveillance cameras, further accelerates the market growth in AI in computer vision. New breakthroughs in edge-based machine learning are enabling AI in computer vision to be faster, smarter, and more widely deployable, creating a window of opportunity across various industries.
continue to grow.
"Consumer electronics segment is expected to hold the largest market share in AI in computer vision market."
The market for AI in computer vision in consumer electronics is expected to grow rapidly. This is because more and more AI technology is being integrated into smart devices. These include smartphones, wearables, and home appliances. With such capabilities, advanced applications such as facial recognition, object detection, augmented reality, and automated image processing enhance user experience. The increasing demand for such features as AR for gaming, facial recognition as an access method, and automation for smart homes can be considered as the factors that are responsible for pushing the growth of this market.
The high penetration of smart connected devices and the rapid growth of IoT further support this case in the acceptance of AI-based solutions and technologies in consumer electronics. Computer vision powered with AI gives new ways and insights to improve how devices from smartphones to robotic vacuums engage with end-users-more smartly and intuitively.
Growing investments alongside technological advancements are driving this industry. Phiar Technologies, Scandit, and others are creating augmented reality navigation solutions based on AI-enabled computer vision and simplification of data capture processes. Investors recognize the sustained, ever-expanding potential of consumer electronics, boosting advancements in AI. New opportunities will keep coming up for applying AI in consumer electronics therefore further solidifying its strong hold for the future of connected life.
"North America is projected to hold the second largest market share in the AI in computer vision market."
In the North American region, AI in computer vision market holds a second-largest share because of rapid advancements in technology, a robust innovation ecosystem, and high-scale adoption across industries. Major investments in the US, including AI research institutes and rising collaborations between startups and high-tech companies, have promoted innovation and strengthened the AI infrastructure. Severed companies like Google, Microsoft, and Amazon have influenced the private sector in launching the initiatives to develop AI-based solutions in terms of industries related to healthcare, manufacturing, retail, and others. Within this important aspect, the Canadian government has a focus on responsible AI development and has given a considerable amount of funding for AI infrastructure development and AI research. Mexico is growing its use of AI technologies due to investment in manufacturing automation and cloud infrastructure, which enables small and medium-sized businesses to use AI-powered solutions to improve operational efficiency.
Moreover, strategic partnerships and initiatives like AI integration in Mexico's manufacturing as well as advanced facility construction of AI computing components further develop the region's capabilities. In this way, strong government and private sectors' support for advanced computing resources fuels the AI in computer vision market in North America. Further market growth is facilitated by increased AI infrastructure adoption across industries as well as improvement in AI technologies.
By Company Type: Tier 1 - 45%, Tier 2 - 30%, and Tier 3 - 25%
By Designation: C-level Executives - 30%, Directors - 32%, and Others - 38%
By Region: North America- 32%, Europe - 20%, Asia Pacific- 43% and RoW- 5%
NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), Sony Group Corporation (Japan), OMRON Corporation (Japan), KEYENCE CORPORATION (Japan), SICK AG (Germany), Teledyne Technologies (US), Texas Instruments Incorporated (US), Basler AG (Germany), Hailo Technologies Ltd. (Israel). are some of the key players in the AI in computer vision market.
The study includes an in-depth competitive analysis of these key players in the AI in computer vision market, as well as their company profiles, recent developments, and key market strategies.
Research Coverage
This research report categorizes the AI in computer vision market by various machine learning models (Supervised Learning, Unsupervised Learning, Reinforcement Learning), by use case (Object Detection, Image Recognition, Facial Recognition, Motion Analysis, and Machine Vision), by offering (Cameras, Frame Grabbers, Optics, LED Lighting, Processors, AI Vision Software, and AI Platforms), by technology (Machine Learning (Deep Learning, and Convolutional Neural Networks), and Generative AI), by function (Training, and Inference), by application (Quality Assurance & Inspection, Measurement, Identification, Predictive Maintenance, Positioning & Guidance), by end-user (Automotive, Consumer Electronics, Healthcare, retail, Security & Surveillance, Manufacturing, Agriculture, Transportation & Logistics, and Others), 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 in computer 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 in computer vision market. This report covers the competitive analysis of upcoming startups in the AI in computer 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 in computer 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 (Advancements in hardware such as GPUs, TPUs, and edge devices, Growing role of cloud computing in enhancing computer vision capabilities, Increasing adoption of edge computing), restraints (Data privacy and security concerns), opportunities (Rapid innovations in healthcare, Automation in manufacturing and industry 4.0), and challenges (High data storage and management costs, Integrating AI within existing systems) influencing the growth of the AI in computer vision market
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in computer vision market
Market Development: The report provides comprehensive information about lucrative markets and analyses the AI in computer vision market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in computer vision market
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the AI in computer vision market, such as NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), Sony Group Corporation (Japan), OMRON Corporation (Japan), KEYENCE CORPORATION (Japan), SICK AG (Germany), Teledyne Technologies (US), Texas Instruments Incorporated (US), Basler AG (Germany), and Hailo Technologies Ltd. (Israel), among others in the AI in computer 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 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 MARKET STAKEHOLDERS
1.8 SUMMARY OF CHANGES
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 ANALYSIS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN COMPUTER VISION MARKET
4.2 AI IN COMPUTER VISION MARKET IN NORTH AMERICA, BY COUNTRY AND VERTICAL
4.3 AI IN COMPUTER VISION MARKET IN ASIA PACIFIC, BY VERTICAL
4.4 AI IN COMPUTER VISION MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rapid advances in graphics processing units and edge devices
5.2.1.2 Growing awareness about role of cloud platforms in enhancing computer vision capabilities
5.2.1.3 Rising emphasis on edge inferencing
5.2.2 RESTRAINTS
5.2.2.1 Data privacy and security issues
5.2.3 OPPORTUNITIES
5.2.3.1 Increasing innovation in healthcare technology
5.2.3.2 Rapid digital transformation in manufacturing sector
5.2.4 CHALLENGES
5.2.4.1 High data storage and management costs
5.2.4.2 Complexities associated with integrating AI into existing technological infrastructure
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 OF KEY PLAYERS, BY OFFERING, 2024
5.6.2 AVERAGE SELLING PRICE TREND, BY AI CAMERA, 2021-2023
5.6.3 AVERAGE SELLING PRICE TREND OF AI CAMERAS, BY REGION, 2021-2023
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Edge inferencing
5.7.1.2 Machine learning
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Natural language processing
5.7.2.2 Internet of Things (IoT)
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Cloud computing
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 NOTA LEVERAGES NVIDIA CORPORATION'S EDGE GPUS AND DEEP LEARNING SDKS TO OPTIMIZE TRAFFIC FLOW
5.10.2 APP-TECHS INTEGRATES IRONYUN, INC.'S VAIDIO AI VISION PLATFORM TO ENHANCE CLIENT'S SECURITY SYSTEMS
5.10.3 SOLOMON TECHNOLOGY CORPORATION IMPLEMENTS SOLVISION AI-POWERED VISUAL INSPECTION TOOL TO DETECT DEFECTS IN BEARING THREATS
5.10.4 VELUX ADOPTS SICK AG'S APPSPACE PLATFORM-INTEGRATED DEEP LEARNING TECHNOLOGY TO AUTOMATE COMPLEX INSPECTION TASKS
5.10.5 SOLOMON TECHNOLOGY CORPORATION IMPLEMENTS SOLVISION TOOL TO IMPROVE TABLET INSPECTION ACCURACY AND EFFICIENCY
5.11 INVESTMENT AND FUNDING SCENARIO
5.12 TRADE ANALYSIS
5.12.1 IMPORT SCENARIO (HS CODE 8471)
5.12.2 EXPORT SCENARIO (HS CODE 8471)
5.13 PATENT ANALYSIS
5.14 KEY CONFERENCES AND EVENTS, 2024-2025
5.15 REGULATORY LANDSCAPE
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.15.2 STANDARDS AND REGULATIONS
6 USE CASES OF AI IN COMPUTER VISION
6.1 INTRODUCTION
6.2 OBJECT DETECTION
6.3 IMAGE RECOGNITION
6.4 FACIAL RECOGNITION
6.5 MOTION ANALYSIS
6.6 MACHINE VISION
7 MACHINE LEARNING MODELS USED IN AI-BASED COMPUTER VISION
7.1 INTRODUCTION
7.2 SUPERVISED LEARNING
7.3 UNSUPERVISED LEARNING
7.4 REINFORCEMENT LEARNING
8 AI IN COMPUTER VISION MARKET, BY APPLICATION
8.1 INTRODUCTION
8.2 QUALITY ASSURANCE & INSPECTION
8.2.1 RISING DEMAND FOR AUTOMATED QUALITY CHECKS TO DRIVE SEGMENTAL GROWTH
8.2.2 DEFECT DETECTION
8.2.3 SURFACE INSPECTION
8.2.4 CONTAINMENT DETECTION
8.2.5 PACKING & LABELLING INSPECTION
8.3 MEASUREMENT
8.3.1 ADVANCEMENTS IN 3D MEASUREMENT SYSTEMS TO DRIVE MARKET
8.3.2 3D MEASUREMENT & PROFILING
8.3.3 SITE MEASUREMENT & MONITORING
8.4 IDENTIFICATION
8.4.1 GROWING ADOPTION OF FACE RECOGNITION IN GOVERNMENT SERVICES TO ACCELERATE DEMAND
8.4.2 PERSON IDENTIFICATION
8.4.3 PRODUCT RECOGNITION
8.5 PREDICTIVE MAINTENANCE
8.5.1 ENHANCING EQUIPMENT RELIABILITY AND OPERATIONAL EFFICIENCY TO FUEL MARKET GROWTH
8.5.2 MACHINE HEALTH MONITORING
8.5.3 WEAR & TEAR DETECTION
8.6 POSITIONING & GUIDANCE
8.6.1 GROWING ADOPTION OF ROBOTIC ARMS WITH AI-POWERED COMPUTER VISION SYSTEMS TO DRIVE MARKET
8.6.2 ROBOTIC ARM GUIDANCE
8.6.3 AUTOMATED GUIDED VEHICLES
9 AI IN COMPUTER VISION MARKET, BY FUNCTION
9.1 INTRODUCTION
9.2 TRAINING
9.2.1 RISING DEMAND FOR HIGH-QUALITY TRAINING DATA TO ACCELERATE MARKET GROWTH
9.3 INFERENCE
9.3.1 RISING INVESTMENTS IN AI HARDWARE AND INFERENCE SOLUTIONS TO STIMULATE MARKET GROWTH
10 AI IN COMPUTER VISION MARKET, BY TECHNOLOGY
10.1 INTRODUCTION
10.2 MACHINE LEARNING
10.2.1 DEEP LEARNING
10.2.1.1 Rising investments in deep learning research to foster market growth
10.2.2 CONVOLUTIONAL NEURAL NETWORKS
10.2.2.1 Rising demand for edge-based AI solutions to boost segmental growth
10.3 GENERATIVE AI
10.3.1 RISING NEED FOR PERSONALIZED AND CUSTOM CONTENT TO SUPPORT MARKET GROWTH
11 AI IN COMPUTER VISION MARKET, BY VERTICAL
11.1 INTRODUCTION
11.2 AUTOMOTIVE
11.2.1 INTEGRATION OF AI IN ADVANCED DRIVER ASSISTANCE SYSTEMS TO BOOST DEMAND
11.2.2 ADAS
11.2.3 IN-VEHICLE MONITORING SYSTEMS
11.2.4 AUTONOMOUS VEHICLES
11.3 CONSUMER ELECTRONICS
11.3.1 INCREASING ADOPTION OF AUGMENTED REALITY IN CONSUMER ELECTRONICS TO DRIVE MARKET
11.3.2 SMARTPHONES AND TABLETS
11.3.3 SMART HOME DEVICES
11.3.4 AR/VR
11.4 HEALTHCARE
11.4.1 AI-DRIVEN PATIENT MONITORING AND OUTCOME PREDICTION TO ACCELERATE MARKET GROWTH
11.4.2 MEDICAL IMAGING
11.4.3 PATIENT MONITORING
11.4.4 SURGICAL ASSISTANCE
11.5 RETAIL
11.5.1 INCREASING FOCUS ON LOSS PREVENTION SOLUTIONS TO FUEL MARKET GROWTH
11.5.2 CUSTOMER EXPERIENCE MANAGEMENT
11.5.3 INVENTORY MANAGEMENT
11.6 SECURITY AND SURVEILLANCE
11.6.1 GROWING FOCUS OF RETAIL SECTOR ON INVENTORY MANAGEMENT AND CUSTOMER BEHAVIOR ANALYSIS TO DRIVE MARKET
11.6.2 CRIME DETECTION
11.6.3 INTRUSION DETECTION
11.6.4 LICENSE PLATE RECOGNITION
11.7 MANUFACTURING
11.7.1 INCREASING DEMAND FOR AUTOMATED ASSEMBLY LINE MONITORING SYSTEMS TO STIMULATE DEMAND
11.7.2 QUALITY INSPECTION
11.7.3 PREDICTIVE MAINTENANCE
11.8 AGRICULTURE
11.8.1 GROWING DEMAND FOR AI-DRIVEN CROP MONITORING SOLUTIONS TO FUEL SEGMENT GROWTH
11.8.2 CROP MONITORING
11.8.3 LIVESTOCK MANAGEMENT
11.8.4 PRECISION AGRICULTURE
11.9 TRANSPORTATION & LOGISTICS
11.9.1 GROWING NEED FOR AUTOMATION IN WAREHOUSING AND DISTRIBUTION HUBS TO BOOST SEGMENTAL GROWTH
11.9.2 FLEET MANAGEMENT
11.9.3 DRIVER BEHAVIOR ANALYSIS
11.9.4 ROUTE OPTIMIZATION
11.9.5 INVENTORY TRACKING
11.10 OTHER VERTICALS
12 AI IN COMPUTER VISION MARKET, BY OFFERING
12.1 INTRODUCTION
12.2 CAMERAS
12.2.1 INCREASING INTEGRATION OF AI TECHNOLOGY IN CAMERAS TO DRIVE SEGMENTAL GROWTH
12.3 FRAME GRABBERS
12.3.1 INCREASING USE OF FRAME GRABBERS FOR REAL-TIME IMAGE PROCESSING TO BOOST DEMAND
12.4 OPTICS
12.4.1 GROWING IMPORTANCE OF ADVANCED OPTICS IN AUTONOMOUS VEHICLES TO ACCELERATE MARKET GROWTH
12.5 LED LIGHTING
12.5.1 EXPANDING APPLICATIONS OF LED LIGHTING IN HEALTHCARE AND MANUFACTURING TO FUEL SEGMENTAL GROWTH
12.6 PROCESSORS
12.6.1 CPU
12.6.1.1 Rising integration of CPUs in edge AI devices to drive market
12.6.2 GPU
12.6.2.1 Rapid image processing feature to support market growth
12.6.3 ASIC
12.6.3.1 Growing role of ASICs in optimizing AI inference and training to stimulate market growth
12.6.4 FPGA
12.6.4.1 Surging adoption of FPGAs in edge computing to address latency-related challenges to fuel market growth
12.7 AI VISION SOFTWARE
12.7.1 INCREASING INVESTMENTS IN AI VISION STARTUPS TO DRIVE MARKET
12.8 AI PLATFORMS
12.8.1 RISING ADOPTION OF REAL-TIME DATA PROCESSING TECHNOLOGIES TO DRIVE SEGMENTAL GROWTH
13 AI IN COMPUTER VISION MARKET, BY REGION
13.1 INTRODUCTION
13.2 NORTH AMERICA
13.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
13.2.2 US
13.2.2.1 Increasing government-led investments and rising AI startups to drive market
13.2.3 CANADA
13.2.3.1 Strategic government investments in AI infrastructure to fuel market growth
13.2.4 MEXICO
13.2.4.1 Rising funding for AI infrastructure development to boost demand
13.3 EUROPE
13.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
13.3.2 UK
13.3.2.1 Strong government support in AI sector to accelerate market growth
13.3.3 GERMANY
13.3.3.1 Rising number of AI startups to contribute to market growth
13.3.4 FRANCE
13.3.4.1 Government investment in AI champions to fuel market growth
13.3.5 ITALY
13.3.5.1 Innovative investments and collaborations between companies to drive market
13.3.6 REST OF EUROPE
13.4 ASIA PACIFIC
13.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
13.4.2 CHINA
13.4.2.1 Government focus on building AI-based ecosystem to fuel market growth
13.4.3 JAPAN
13.4.3.1 Development of AI infrastructure and collaboration with tech giants to stimulate market growth
13.4.4 SOUTH KOREA
13.4.4.1 Innovation in AI software and hardware solutions to drive market growth
13.4.5 INDIA
13.4.5.1 Government-led AI policies and funding programs to support market growth
13.4.6 REST OF ASIA PACIFIC
13.5 ROW
13.5.1 MACROECONOMIC OUTLOOK FOR ROW
13.5.2 MIDDLE EAST
13.5.3 INCREASING INVESTMENTS IN DATA CENTERS AND AI RESEARCH PROJECTS TO SPIKE DEMAND
13.5.3.1 GCC countries
13.5.3.2 Rest of Middle East & Africa
13.5.4 AFRICA
13.5.4.1 Africa's launch of continental AI strategy to fuel market growth
13.5.5 SOUTH AMERICA
13.5.5.1 Growing number of AI-based computer vision startups to foster market growth
14 COMPETITIVE LANDSCAPE
14.1 OVERVIEW
14.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020-2024
14.3 REVENUE ANALYSIS, 2019-2023
14.4 MARKET SHARE ANALYSIS, 2023
14.5 COMPANY VALUATION AND FINANCIAL METRICS
14.6 BRAND/PRODUCT COMPARISON
14.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
14.7.1 STARS
14.7.2 EMERGING LEADERS
14.7.3 PERVASIVE PLAYERS
14.7.4 PARTICIPANTS
14.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
14.7.5.1 Company footprint
14.7.5.2 Region footprint
14.7.5.3 Offering footprint
14.7.5.4 Technology footprint
14.7.5.5 Function footprint
14.7.5.6 Application footprint
14.7.5.7 Vertical footprint
14.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
