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세계의 AI 기반 영상 분석 시장 예측(-2030년) : 기술별, 배포 형태별, 최종 용도 산업별, 지역별

AI-based Image Analysis Market by Deployment Mode (On-premises, Cloud-based), Technology (Deep Learning, Traditional Machine Learning, Hybrid & Other Al Technologies), End-use Industry and Region - Global Forecast to 2030
발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 224 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 AI 기반 영상 분석 시장 규모는 2025년 130억 7,000만 달러에서 2030년에는 363억 6,000만 달러로 성장하며, 2025-2030년까지 CAGR은 22.7%에 달할 것으로 예측됩니다.

이 시장의 성장은 ML과 DL 기술의 통합, 클라우드 컴퓨팅으로의 전환, 실시간 이미지 분석을 위한 엣지 컴퓨팅 솔루션에 대한 수요 증가에 기인합니다.

조사 범위
조사 대상연도 2021-2030년
기준연도 2024년
예측 기간 2025-2030년
검토 단위 금액(10억 달러)
부문별 기술별, 배포 형태별, 최종 용도 산업별, 지역별
대상 지역 북미, 유럽, 아시아태평양, 기타 지역

AI 기반 이미지 분석에 대한 수요는 자동차 산업과 제조업에서 빠르게 증가하고 있습니다. 자동차 산업에서는 AI 기반 이미지 분석이 자율주행 시스템에 활용되고 있으며, 실시간 물체 감지, 차선 식별, 운전자 모니터링을 위해서는 빠른 시각적 해석이 필요합니다.

Al-based Image Analysis Market-IMG1

딥러닝은 AI 기반 이미지 분석 시장의 주요 기술로, CNNS(Convolutional Neural Networks - 컨볼루션 신경망), 트랜스포머, GAN 등의 기술을 이용하여 사진에서 복잡한 특징을 제거합니다. 이 수동 기능을 통해 엔지니어링 없이도 물체 감지, 세분화, 패턴 인식 등의 호환성이 높은 기능을 구현할 수 있습니다. 딥러닝은 방사선 영상이나 병리 영상으로 진단하는 헬스케어, 제품의 품질을 자동으로 검사하는 제조업 등의 분야에서 특히 중요합니다. 또한 딥러닝 모델은 확장성, 끊임없는 학습, 복잡하고 불필요한 이미지 데이터와의 호환성 등의 장점이 있습니다. 엣지 AI(온디바이스 감염), 생성형 AI 모델(GAN 등), 트랜스포머 기반 비전 모델의 성장은 실제 AI 이미지 분석 용도에 대한 통합을 더욱 강화할 것입니다.

AI 기반 영상분석 기술은 품질관리, 조립검사, 설비 모니터링, 전자기기 검사를 증가시켜 제조업을 변화시키고 있습니다. 지난 7월, 미국 국립표준기술연구소(NIST)는 AI를 활용해 미국 제조업의 유연성을 높이는 데 초점을 맞춘 새로운 연구소를 설립하기 위해 7,000만 달러를 투자한다고 발표했습니다. 이 구상은 AI를 활용하여 제조업의 회복력을 강화하고, AI 기술 발전에 대한 미국 정부의 의지를 보여주며, 시장 성장을 가속하고, 미국을 AI 기반 이미지 분석 분야의 세계 리더로 확고히 하는 것을 목표로 하고 있습니다. 머신비전과 엣지 컴퓨팅의 발전으로 AI 이미지 분석은 스마트 팩토리와 로봇 시스템에 빠르게 통합되고 있습니다.

미국내 AI 기반 이미지 분석은 연방정부의 막대한 투자와 대기업의 혁신으로 빠르게 성장하고 있습니다. 2023년 5월, 미국 국립과학재단은 7개의 국립 인공지능 연구기관을 신설하기 위해 1억 4,000만 달러를 투자할 것이라고 발표했습니다. 이들 기관은 최첨단 AI 연구개발과 학계 간 협력을 추진합니다. Google, IBM, Microsoft, Oracle, Amazon, Cognex Corporation 등 주요 기업은 시장 성장을 지원하는 중요한 기술 혁신을 추진하고 있습니다. 2024년 7월, 미국 상무부 산하 NIST는 AI에 특화된 새로운 Manufacturing USA 연구소에 최대 7,000만 달러의 자금을 지원한다고 발표했습니다. 이 구상은 AI를 활용한 제조업의 강인성을 강화하고, AI 기술 발전과 시장 성장을 가속하며, 미국이 AI 기반 이미지 분석 분야의 세계 리더로서 입지를 확고히 하겠다는 미국 정부의 의지를 보여주는 것을 목표로 하고 있습니다.

세계의 AI 기반 영상 분석 시장에 대해 조사했으며, 기술별, 배포 형태별, 최종 용도 산업별, 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
  • 사례 연구 분석
  • 투자와 자금조달 시나리오
  • 특허 분석
  • 무역 분석
  • 주요 이해관계자와 구입 기준
  • Porter's Five Forces 분석
  • 2025-2026년의 주요 컨퍼런스와 이벤트
  • 규제 상황과 기준
  • 2025년 미국 관세가 AI 기반 영상 분석 시장에 미치는 영향

제6장 AI 기반 영상 분석 시장(기술별)

  • 서론
  • 딥러닝
  • 기존 기계학습
  • 하이브리드 및 기타 AI 테크놀러지

제7장 AI 기반 영상 분석 시장(배포 형태별)

  • 서론
  • 온프레미스
  • 클라우드 기반

제8장 AI 기반 영상 분석 시장(최종 용도 산업별)

  • 서론
  • 자동차·운송
  • 소매·E-Commerce
  • 헬스케어
  • 제조
  • 기타

제9장 AI 기반 영상 분석 시장(지역별)

  • 서론
  • 북미
    • 북미의 거시경제 전망
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 유럽의 거시경제 전망
    • 독일
    • 영국
    • 프랑스
    • 이탈리아
    • 스페인
    • 벨기에
    • 네덜란드
    • 기타
  • 아시아태평양
    • 아시아태평양의 거시경제 전망
    • 중국
    • 일본
    • 한국
    • 인도
    • 대만
    • 호주
    • 인도네시아
    • 기타
  • 기타 지역
    • 기타 지역의 거시경제 전망
    • 중동
    • 아프리카
    • 남미

제10장 경쟁 구도

  • 개요
  • 주요 참여 기업이 채택하는 전략(2021-2025년)
  • 매출 분석, 2022-2024년
  • 시장 점유율 분석, 2024년
  • 기업 평가와 재무 지표
  • 브랜드 비교
  • 평가 매트릭스, 주요 참여 기업, 2024년
  • 평가 매트릭스, 스타트업/중소기업, 2024년
  • 경쟁 시나리오

제11장 기업 개요

  • 주요 참여 기업
    • NVIDIA CORPORATION
    • MICROSOFT CORPORATION
    • INTEL CORPORATION
    • ALPHABET INC.
    • AMAZON.COM, INC.
    • IBM
    • ORACLE
    • COGNEX CORPORATION
    • CONTEXTVISION
    • GE HEALTHCARE
  • 기타 기업
    • CHOOCH
    • KYUNGWOO SYSTECH, INC.
    • LANDINGAI
    • ML6
    • SENSETIME
    • SEVENLAB
    • SOLOMON TECHNOLOGY CORPORATION
    • ZEBRA TECHNOLOGIES CORP.
    • MVISION AI
    • CLARIFAI, INC.
    • ARTELUS
    • ENLITIC, INC.
    • AIDOC
    • GAMAYA
    • AIFORIA

제12장 부록

KSA

The global AI-based image analysis market is projected to grow from USD 13.07 billion in 2025 to USD 36.36 billion by 2030, at a CAGR of 22.7% from 2025 to 2030. The growth of the market is attributed to the growing integration of ML and DL technologies, inclination toward cloud computing, and increasing demand for edge computing solutions for real-time image analysis.

Scope of the Report
Years Considered for the Study2021-2030
Base Year2024
Forecast Period2025-2030
Units ConsideredValue (USD Billion)
SegmentsBy Deployment Mode, Technology, End-Use Industry, and Region
Regions coveredNorth America, Europe, APAC, RoW

The demand for AI-based image analysis is rapidly increasing in the automotive and manufacturing sectors. In the automotive industry, AI-based image analysis is being leveraged for autonomous driving systems, where real-time object detection, lane identification, and driver monitoring require a high-speed visual interpretation.

Al-based Image Analysis Market - IMG1

"By technology, deep learning segment to account for largest market share in 2030"

Deep learning is a major technology in the AI-based image analysis market, which uses technology like Convolutional Neural Networks (CNNS), transformers, and GANs to remove complex features from pictures. This manual feature enables high-compatibility functions such as object detection, segmentation, and pattern recognition without the need for engineering. Deep learning is particularly important in areas such as healthcare, where it diagnoses with radiology and pathology images, and in manufacturing, where it automatically checks the quality of the product. In addition, deep learning models benefit from scalability, constant learning, and compatibility with complex and unnecessary image data. Edge AI (on-device infection), generative AI models (e.g., GANs), and the growth of transformer-based vision models further enhance its integration in real-world AI-image analysis applications.

"Manufacturing segment to capture largest share of AI-based image analysis market during forecast period"

AI-based image analysis techniques are changing manufacturing by increasing quality control, assembly inspection, equipment monitoring, and electronics inspections. In July, the National Institute of Standards and Technology (NIST) announced an investment of USD 70 million to establish a new institute that focuses on taking advantage of AI to increase the flexibility of American manufacturing. This initiative aims to enhance manufacturing resilience using AI and demonstrate the US government's commitment to advancing AI technology, boosting market growth and solidifying the US as a global leader in AI-based image analysis. With progress in machine vision and edge computing, AI image analysis is rapidly integrated into smart factories and robotic systems.

"US to be largest market for AI-based image analysis in North America."

AI-based image analysis in the US is growing rapidly due to significant federal investments and innovations by major companies. In May 2023, the US National Science Foundation announced an investment of USD 140 million to set up seven new National Artificial Intelligence Research Institutes. These institutions will promote state-of-the-art AI research and development and cooperation between academics. Major companies such as Google, IBM, Microsoft, Oracle, Amazon, and Cognex Corporation are making significant innovations that are supporting market growth. In July 2024, the US Department of Commerce's NIST announced a funding opportunity of up to USD 70 million for a new AI-focused Manufacturing USA institute. This initiative aims to enhance manufacturing resilience using AI and demonstrate the US government's commitment to advancing AI technology, boosting market growth and solidifying the US as a global leader in AI-based image analysis.

Extensive primary interviews were conducted with key industry experts in the AI-based image analysis market space to determine and verify the market size for various segments and subsegments of the market. The breakup of primary participants for the report is shown below: The study contains insights from various industry experts, from component suppliers to Tier 1

Companies and OEMs. The breakup of the primaries is as follows:

  • By Company Type: Tier 1 - 40%, Tier 2 - 35%, and Tier 3 - 25%
  • By Designation: C-level Executives - 45%, Directors - 35%, and Others - 20%
  • By Region: North America - 30%, Europe - 22%, Asia Pacific - 40%, and RoW - 8%

Note: Three tiers of companies are defined based on their total revenue as of 2024; tier 1: revenue more than or equal to USD 500 million, tier 2: revenue between USD 100 million and USD 500 million, and tier 3: revenue less than or equal to USD 100 million. Other designations include sales and marketing executives and researchers, as well as members of various AI-based image analysis organizations.

NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), IBM (US), Oracle (US), Cognex Corporation (US), ContextVision (Sweden), and GE Healthcare (US), among others, are the key players in the AI-based image analysis market.

The study includes an in-depth competitive analysis of these key players in the AI-based image analysis market, as well as their company profiles, recent developments, and key market strategies.

Research Coverage:

This research report categorizes the AI-based image analysis market based on technology (deep learning, traditional machine learning, and hybrid and other AI technologies), deployment mode (on-premises, cloud-based), end-use industry (healthcare, retail & e-commerce, automotive & transportation, manufacturing, and other end-use industries), and region (North America, Europe, Asia Pacific, and RoW). The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI-based image analysis market and forecasts the same till 2030. The report also consists of leadership mapping and analysis of all the companies included in the AI-based image analysis ecosystem.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in this market by providing information on the closest approximations of the revenue numbers for the overall AI-based image analysis market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Growing integration of ML and DL technologies and inclination toward cloud computing, Increasing demand of edge computing solutions for real-time image analysis, and Surging need for AI-based image analysis in automotive and manufacturing industries) restraints (Data privacy concerns and Dependence on high-quality data for accurate results), opportunities (Growing demand and technological innovations in healthcare and Growing demand for optical character recognition technology from AI image analysis providers) and challenges (High data storage and management costs) influencing the growth of the AI-based image analysis market
  • Product Development/Innovation: Detailed insights into upcoming technologies, research and development activities, and the latest product and service launches in the AI-based image analysis market
  • Market Development: Comprehensive information about lucrative markets - the report analyzes the AI-based image analysis market across varied regions.
  • Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the AI-based image analysis market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, 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), ContextVision (Sweden), GE Healthcare (US), Chooch (US), Kyungwoo Systech, Inc. (South Korea), LandingAI (US), ML6 (Belgium), and SenseTime (China) in the AI-based image analysis market

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 DEFINITION
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 LIMITATIONS
  • 1.6 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 List of primary interview participants
      • 2.1.2.2 Breakdown of primaries
      • 2.1.2.3 Key industry insights
    • 2.1.3 SECONDARY AND PRIMARY RESEARCH
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Approach to estimate market size using bottom-up analysis (demand side)
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to estimate 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-BASED IMAGE ANALYSIS MARKET
  • 4.2 AI-BASED IMAGE ANALYSIS MARKET, BY TECHNOLOGY
  • 4.3 AI-BASED IMAGE ANALYSIS MARKET, BY END-USE INDUSTRY
  • 4.4 AI-BASED IMAGE ANALYSIS MARKET, BY COUNTRY

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Growing integration of ML and DL technologies and inclination toward cloud computing
      • 5.2.1.2 Increasing demand for edge computing solutions for real-time image analysis
      • 5.2.1.3 Surging need for AI-based image analysis in automotive and manufacturing industries
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Data privacy concerns
      • 5.2.2.2 Dependence on high-quality data for accurate results
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Growing demand and technological innovations in healthcare
      • 5.2.3.2 Growing demand for optical character recognition technology from AI image analysis providers
    • 5.2.4 CHALLENGES
      • 5.2.4.1 High data storage and management costs
  • 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 AI-BASED IMAGE ANALYSIS PLATFORM, BY KEY PLAYERS
    • 5.6.2 AVERAGE SELLING PRICE TREND OF AI-BASED IMAGE ANALYSIS PLATFORM, BY REGION, 2021-2024
  • 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 CASE STUDY ANALYSIS
    • 5.8.1 WATER UTILITY COMPANY IMPLEMENTED IRONYUN'S VAIDIO AI VISION PLATFORM TO AVOID FALSE ALERTS
    • 5.8.2 MIDWEST POLICE DEPARTMENT DEPLOYED IRONYUN'S VAIDIO LPR AND VIDEO SEARCH SOLUTIONS FOR FASTER CRIME DETECTION AND INVESTIGATION
    • 5.8.3 PEPSICO IMPLEMENTED KOIREADER TECHNOLOGIES' AI-POWERED MACHINE VISION TECHNOLOGY TO ENHANCE LABEL AND BARCODE SCANNING ACCURACY
  • 5.9 INVESTMENT AND FUNDING SCENARIO
  • 5.10 PATENT ANALYSIS
  • 5.11 TRADE ANALYSIS
    • 5.11.1 IMPORT SCENARIO FOR HS CODE 852580-COMPLIANT PRODUCTS
    • 5.11.2 EXPORT SCENARIO FOR HS CODE 852580-COMPLIANT PRODUCTS
  • 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.12.2 BUYING CRITERIA
  • 5.13 PORTER'S FIVE FORCES ANALYSIS
    • 5.13.1 INTENSITY OF COMPETITIVE RIVALRY
    • 5.13.2 BARGAINING POWER OF SUPPLIERS
    • 5.13.3 BARGAINING POWER OF BUYERS
    • 5.13.4 THREAT OF SUBSTITUTES
    • 5.13.5 THREAT OF NEW ENTRANTS
  • 5.14 KEY CONFERENCES AND EVENTS, 2025-2026
  • 5.15 REGULATORY LANDSCAPE AND STANDARDS
    • 5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.15.2 STANDARDS
  • 5.16 2025 US TARIFF IMPACT ON AI-BASED IMAGE ANALYSIS MARKET
    • 5.16.1 INTRODUCTION
    • 5.16.2 KEY TARIFF RATES
    • 5.16.3 PRICE IMPACT ANALYSIS
    • 5.16.4 IMPACT ON COUNTRIES/REGIONS
      • 5.16.4.1 US
      • 5.16.4.2 Europe
      • 5.16.4.3 Asia Pacific
    • 5.16.5 IMPACT ON APPLICATIONS
      • 5.16.5.1 Healthcare
      • 5.16.5.2 Retail & E-commerce
      • 5.16.5.3 Automotive & Transportation
      • 5.16.5.4 Manufacturing

6 AI-BASED IMAGE ANALYSIS MARKET, BY TECHNOLOGY

  • 6.1 INTRODUCTION
  • 6.2 DEEP LEARNING
    • 6.2.1 INCREASING AVAILABILITY OF LABELED IMAGE DATASETS TO SUPPORT MARKET GROWTH
  • 6.3 TRADITIONAL MACHINE LEARNING
    • 6.3.1 CONTINUED RELEVANCE IN INDUSTRIAL AND RULE-BASED QUALITY CHECKS TO DRIVE DEMAND
  • 6.4 HYBRID AND OTHER AI TECHNOLOGIES
    • 6.4.1 NEED FOR INCREASED DATA EFFICIENCY AND ADAPTABILITY TO FUEL MARKET

7 AI-BASED IMAGE ANALYSIS MARKET, BY DEPLOYMENT MODE

  • 7.1 INTRODUCTION
  • 7.2 ON-PREMISES
    • 7.2.1 INCREASING AI AND DATA-INTENSIVE WORKLOADS TO DRIVE MARKET
  • 7.3 CLOUD-BASED
    • 7.3.1 GROWING EMPHASIS ON INTEGRATING AI CAPABILITIES SUPPORTING MARKET GROWTH

8 AI-BASED IMAGE ANALYSIS MARKET, BY END-USE INDUSTRY

  • 8.1 INTRODUCTION
  • 8.2 AUTOMOTIVE & TRANSPORTATION
    • 8.2.1 RISE IN CONNECTED VEHICLES AND NEED FOR REAL-TIME VISUAL DATA PROCESSING TO DRIVE MARKET
  • 8.3 RETAIL & E-COMMERCE
    • 8.3.1 GROWING FOCUS OF RETAIL & E-COMMERCE SECTOR ON INVENTORY MANAGEMENT TO DRIVE MARKET
  • 8.4 HEALTHCARE
    • 8.4.1 NEED FOR ACCURATE AND EFFICIENT MEDICAL DIAGNOSTICS AND IMPROVED PATIENT CARE TO ACCELERATE DEMAND
  • 8.5 MANUFACTURING
    • 8.5.1 ABILITY OF AI-BASED IMAGE ANALYSIS TO DETECT MINUTE DEFECTS AND ENSURE COMPLIANCE WITH QUALITY STANDARDS TO STIMULATE DEMAND
  • 8.6 OTHER END-USE INDUSTRIES
    • 8.6.1 INVESTMENTS IN ADVANCED AGRICULTURAL TECHNOLOGIES TO BOOST SEGMENT GROWTH

9 AI-BASED IMAGE ANALYSIS MARKET, BY REGION

  • 9.1 INTRODUCTION
  • 9.2 NORTH AMERICA
    • 9.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    • 9.2.2 US
      • 9.2.2.1 Increasing investments by government and technology giants in cutting-edge technologies to drive market
    • 9.2.3 CANADA
      • 9.2.3.1 Strategic government investments in AI infrastructure development to fuel market growth
    • 9.2.4 MEXICO
      • 9.2.4.1 Surging adoption of AI-powered solutions in manufacturing sector to boost market growth
  • 9.3 EUROPE
    • 9.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
    • 9.3.2 GERMANY
      • 9.3.2.1 Increasing number of AI startups to contribute to market growth
    • 9.3.3 UK
      • 9.3.3.1 Commitment to becoming global leader in artificial intelligence to accelerate market growth
    • 9.3.4 FRANCE
      • 9.3.4.1 Robust research and strategic investments in establishing AI startups to fuel market growth
    • 9.3.5 ITALY
      • 9.3.5.1 Significant focus on developing and scaling AI-based image analysis technologies to create growth opportunities
    • 9.3.6 SPAIN
      • 9.3.6.1 Deployment in healthcare sector to create growth opportunities
    • 9.3.7 BELGIUM
      • 9.3.7.1 Rising awareness of AI's capabilities and increasing cloud adoption to create growth opportunities
    • 9.3.8 NETHERLANDS
      • 9.3.8.1 Growing demand across healthcare, agriculture, and industrial sectors to create growth opportunities
    • 9.3.9 REST OF EUROPE
  • 9.4 ASIA PACIFIC
    • 9.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    • 9.4.2 CHINA
      • 9.4.2.1 Ventures between research institutions and entrepreneurs to drive market
    • 9.4.3 JAPAN
      • 9.4.3.1 Investment in digital skilling programs to accelerate market growth
    • 9.4.4 SOUTH KOREA
      • 9.4.4.1 Startup Korea policy and government investment in AI development to support market growth
    • 9.4.5 INDIA
      • 9.4.5.1 Strong government support to drive market growth
    • 9.4.6 TAIWAN
      • 9.4.6.1 Investment in smart medical innovation hubs to support market growth
    • 9.4.7 AUSTRALIA
      • 9.4.7.1 Strong emphasis on early disease detection to support market growth
    • 9.4.8 INDONESIA
      • 9.4.8.1 Development of healthcare sector to support market growth
    • 9.4.9 REST OF ASIA PACIFIC
  • 9.5 ROW
    • 9.5.1 MACROECONOMIC OUTLOOK FOR ROW
    • 9.5.2 MIDDLE EAST
      • 9.5.2.1 Strategic investments in digital transformation and innovation to fuel demand
      • 9.5.2.2 GCC countries
      • 9.5.2.3 Rest of Middle East
    • 9.5.3 AFRICA
      • 9.5.3.1 International collaborations funding AI projects to boost market growth
    • 9.5.4 SOUTH AMERICA
      • 9.5.4.1 Increasing public-private sector investments in AI technology to fuel market growth

10 COMPETITIVE LANDSCAPE

  • 10.1 OVERVIEW
  • 10.2 STRATEGIES ADOPTED BY KEY PLAYERS, 2021-2025
  • 10.3 REVENUE ANALYSIS, 2022-2024
  • 10.4 MARKET SHARE ANALYSIS, 2024
  • 10.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 10.6 BRAND COMPARISON
  • 10.7 COMPANY EVALUATION MATRIX, 2024
    • 10.7.1 STARS
    • 10.7.2 EMERGING LEADERS
    • 10.7.3 PERVASIVE PLAYERS
    • 10.7.4 PARTICIPANTS
    • 10.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
      • 10.7.5.1 Company footprint
      • 10.7.5.2 Region footprint
      • 10.7.5.3 Technology footprint
      • 10.7.5.4 Deployment mode footprint
      • 10.7.5.5 End-use industry footprint
  • 10.8 STARTUPS/SMALL- AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2024
    • 10.8.1 PROGRESSIVE COMPANIES
    • 10.8.2 RESPONSIVE COMPANIES
    • 10.8.3 DYNAMIC COMPANIES
    • 10.8.4 STARTING BLOCKS
    • 10.8.5 COMPETITIVE BENCHMARKING: KEY STARTUPS/SMES, 2024
      • 10.8.5.1 Detailed list of key startups/SMEs
      • 10.8.5.2 Competitive benchmarking of key startups/SMEs
  • 10.9 COMPETITIVE SCENARIO
    • 10.9.1 PRODUCT LAUNCHES
    • 10.9.2 DEALS
    • 10.9.3 EXPANSIONS

11 COMPANY PROFILES

  • 11.1 KEY PLAYERS
    • 11.1.1 NVIDIA CORPORATION
      • 11.1.1.1 Business overview
      • 11.1.1.2 Products/Solutions/Services offered
      • 11.1.1.3 Recent developments
        • 11.1.1.3.1 Product launches/developments
        • 11.1.1.3.2 Deals
      • 11.1.1.4 MnM view
        • 11.1.1.4.1 Key strengths
        • 11.1.1.4.2 Strategic choices
        • 11.1.1.4.3 Weaknesses and competitive threats
    • 11.1.2 MICROSOFT CORPORATION
      • 11.1.2.1 Business overview
      • 11.1.2.2 Products/Solutions/Services offered
      • 11.1.2.3 Recent developments
        • 11.1.2.3.1 Product launches/developments
        • 11.1.2.3.2 Deals
        • 11.1.2.3.3 Expansions
      • 11.1.2.4 MnM view
        • 11.1.2.4.1 Key strengths
        • 11.1.2.4.2 Strategic choices
        • 11.1.2.4.3 Weaknesses and competitive threats
    • 11.1.3 INTEL CORPORATION
      • 11.1.3.1 Business overview
      • 11.1.3.2 Products/Solutions/Services offered
      • 11.1.3.3 Recent developments
        • 11.1.3.3.1 Product launches/developments
      • 11.1.3.4 MnM view
        • 11.1.3.4.1 Key strengths
        • 11.1.3.4.2 Strategic choices
        • 11.1.3.4.3 Weaknesses and competitive threats
    • 11.1.4 ALPHABET INC.
      • 11.1.4.1 Business overview
      • 11.1.4.2 Products/Solutions/Services offered
      • 11.1.4.3 MnM view
        • 11.1.4.3.1 Key strengths
        • 11.1.4.3.2 Strategic choices
        • 11.1.4.3.3 Weaknesses and competitive threats
    • 11.1.5 AMAZON.COM, INC.
      • 11.1.5.1 Business overview
      • 11.1.5.2 Products/Solutions/Services offered
      • 11.1.5.3 Recent developments
        • 11.1.5.3.1 Product launches/developments
        • 11.1.5.3.2 Deals
      • 11.1.5.4 MnM view
        • 11.1.5.4.1 Key strengths
        • 11.1.5.4.2 Strategic choices
        • 11.1.5.4.3 Weaknesses and competitive threats
    • 11.1.6 IBM
      • 11.1.6.1 Business overview
      • 11.1.6.2 Products/Solutions/Services offered
      • 11.1.6.3 Recent developments
        • 11.1.6.3.1 Product launches/developments
    • 11.1.7 ORACLE
      • 11.1.7.1 Business overview
      • 11.1.7.2 Products/Solutions/Services offered
      • 11.1.7.3 Recent developments
        • 11.1.7.3.1 Deals
    • 11.1.8 COGNEX CORPORATION
      • 11.1.8.1 Business overview
      • 11.1.8.2 Products/Solutions/Services offered
      • 11.1.8.3 Recent developments
        • 11.1.8.3.1 Product launches/developments
    • 11.1.9 CONTEXTVISION
      • 11.1.9.1 Business overview
      • 11.1.9.2 Products/Solutions/Services offered
      • 11.1.9.3 Recent developments
        • 11.1.9.3.1 Deals
    • 11.1.10 GE HEALTHCARE
      • 11.1.10.1 Business overview
      • 11.1.10.2 Products/Solutions/Services offered
      • 11.1.10.3 Recent developments
        • 11.1.10.3.1 Deals
  • 11.2 OTHER PLAYERS
    • 11.2.1 CHOOCH
    • 11.2.2 KYUNGWOO SYSTECH, INC.
    • 11.2.3 LANDINGAI
    • 11.2.4 ML6
    • 11.2.5 SENSETIME
    • 11.2.6 SEVENLAB
    • 11.2.7 SOLOMON TECHNOLOGY CORPORATION
    • 11.2.8 ZEBRA TECHNOLOGIES CORP.
    • 11.2.9 MVISION AI
    • 11.2.10 CLARIFAI, INC.
    • 11.2.11 ARTELUS
    • 11.2.12 ENLITIC, INC.
    • 11.2.13 AIDOC
    • 11.2.14 GAMAYA
    • 11.2.15 AIFORIA

12 APPENDIX

  • 12.1 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.2 CUSTOMIZATION OPTIONS
  • 12.3 RELATED REPORTS
  • 12.4 AUTHOR DETAILS
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