이미지 인식 시장 : 시장 규모, 점유율 및 성장률, 산업 분석 - 유형별, 용도별, 지역별 인사이트 및 예측(2026-2034년)
Image Recognition Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2026-2034
상품코드:1930237
리서치사:Fortune Business Insights Pvt. Ltd.
발행일:2026년 01월
페이지 정보:영문 130 Pages
라이선스 & 가격 (부가세 별도)
한글목차
이미지 인식 시장의 성장 동인
세계 이미지 인식 시장은 인공지능(AI) 및 머신러닝(ML) 기술의 다양한 산업 분야에서의 빠른 보급을 배경으로 견조한 성장세를 보이고 있습니다. 보고서에 따르면, 2025년 세계 이미지 인식 시장 규모는 585억 6,000만 달러로 평가됩니다. 이 시장은 2026년 684억 6,000만 달러에 달할 것으로 예상되고, 2034년까지 2,127억 7,000만 달러까지 확대될 것으로 예상되며, 예측 기간 동안 15.20%의 연평균 복합 성장률(CAGR)을 나타낼 것으로 예측됩니다.
2025년 기준 북미가 세계 시장을 주도하며 32.10%의 점유율을 차지할 것으로 예측됩니다. 이는 AI 기반 솔루션의 조기 도입, 탄탄한 기술 인프라, 컴퓨터 비전 기술에 대한 막대한 투자가 뒷받침하고 있습니다. 미국의 이미지 인식 시장은 AI 기반 용도의 보급 확대를 배경으로 큰 폭의 성장이 예상되며, 2032년까지 191억 9,330만 달러에 달할 것으로 예측됩니다.
이미지 인식 기술은 AI와 머신러닝 알고리즘을 사용하여 디지털 이미지에서 물체, 로고, 인물, 패턴 등을 식별하고 분석할 수 있습니다. 이러한 기술의 지속적인 발전으로 정확성, 확장성, 비용 효율성이 향상되어 산업 전반에 걸쳐 광범위하게 도입되고 있습니다.
시장 정의 및 범위
이미지 인식은 이미지나 동영상에서 시각 데이터를 식별, 분류, 해석하는 컴퓨터 비전 기술을 말합니다. 이 기술은 딥러닝 모델, 신경망, 고급 이미지 처리 알고리즘을 활용하여 시각적 입력에서 의미 있는 지식을 추출합니다.
본 시장의 적용 범위는 소매, 미디어-엔터테인먼트, IT 및 통신, 은행, 금융서비스 및 보험(BFS), 의료, 정부기관, 자동차, 운송-물류 등의 산업에 도입된 이미지 인식 솔루션을 포괄합니다. 본 보고서에서는 이미지 인식 기술과 증강현실(AR), 자율주행차, 보안 시스템, 모바일 애플리케이션과의 통합이 진행되고 있는 점에 대해서도 평가했습니다.
시장 역학
성장 촉진요인
AI 기반 기술의 채택 확대는 이미지 인식 시장의 주요 촉진요인입니다. 얼굴 인식, 물체 감지, 시각적 검색 등 AI 기반 컴퓨터 비전 용도는 산업 전반의 업무 운영을 혁신적으로 변화시키고 있습니다. 보안 감시, 의료 진단, 자율주행차 등의 분야에서 자동 영상 분석에 대한 수요가 시장 성장을 크게 촉진하고 있습니다.
또한, 스마트폰과 고대역폭 데이터 서비스 이용 확대에 따라 이미지 기반 용도에 대한 수요가 증가하고 있습니다. 이미지 인식 기술을 통해 브로셔, 잡지 등 오프라인 컨텐츠와 동영상, AR 기능, 제품 정보 등 디지털 경험을 연계할 수 있게 되어 고객 인게이지먼트 향상으로 이어지고 있습니다.
트렌드
딥러닝과 컨볼루션 신경망(CNN)의 등장이 주요 시장 트렌드입니다. 이러한 기술을 통해 이미지/동이미지 인식의 고속화 및 정확도 향상을 실현하여 의료, 자동차, 게임, 전자상거래 분야에서 도입이 진행되고 있습니다. 주요 기술 제공업체들은 고급 신경망 아키텍처를 통합하여 이미지 인식 플랫폼을 지속적으로 강화하고 있습니다.
Amazon Rekognition과 같은 클라우드 기반 이미지 인식 API가 이미지 분류 및 시각적 검색에 활용되는 사례가 증가하면서 시장 확대에 더욱 박차를 가하고 있습니다.
억제요인
견조한 성장에도 불구하고, 시장은 정부 규제와 프라이버시 문제로 인한 문제에 직면해 있습니다. 미국, 유럽, 아시아태평양의 여러 지역에서 데이터 프라이버시 및 감시 우려로 인해 얼굴 인식 기술에 대한 규제가 도입되고 있습니다. 이러한 규제적 제약으로 인해 공공 감시 및 법 집행 기관을 위한 용도에서 이미지 인식 솔루션의 도입이 제한되고 있습니다.
코로나19의 영향
코로나19 팬데믹은 산업 전반의 디지털 전환을 가속화하고 첨단 인식 기술의 채택을 증가시켰습니다. 팬데믹 기간 동안 조직은 비접촉식 인증, 보안 모니터링, 디지털 결제를 위해 얼굴 인식 및 패턴 인식 시스템을 광범위하게 도입했습니다. 은행 및 금융기관은 얼굴인식 기반 모바일 결제 서비스를 점점 더 많이 채택하여 이 기간 동안 시장 성장을 뒷받침했습니다.
세분화 분석
구성요소별 시장 세분화에서 시장은 하드웨어, 소프트웨어, 서비스로 구분됩니다. 이 중 소프트웨어 분야가 시장을 주도하며 2026년에는 39.59%의 점유율을 차지할 것으로 예측됩니다. 이는 자동화, 인더스트리 4.0, 데이터 분석 용도에서 이미지 인식 알고리즘의 채택 증가가 주요 요인으로 작용하고 있습니다.
기술별로는 코드 인식, 얼굴 인식, 물체 인식, 패턴 인식, 광학식 문자 인식(OCR)으로 분류됩니다. 코드 인식은 재고 관리 및 데이터 입력에 광범위하게 사용되어 큰 시장 점유율을 차지하고 있습니다. 얼굴 인식 부문은 AI와 머신비전의 발전에 힘입어 괄목할 만한 성장률을 보이며 2026년에는 24.69%의 점유율을 차지할 것으로 예측됩니다.
용도별로는 보안 및 감시 분야가 주요 부문으로, 공공 안전에 대한 관심 증가와 생체 인식 시스템 도입 증가를 배경으로 2026년 23.52%의 시장 점유율을 차지할 것으로 예측됩니다. 증강현실(AR)은 가상착용 용도의 보급으로 인해 고성장 분야로 떠오르고 있습니다.
지역별 인사이트
북미는 조기 기술 도입과 자율주행차 개발에 힘입어 2025년 188억 5,000만 달러, 2026년 209억 1,000만 달러 시장 규모로 세계 시장을 선도하고 있습니다. 유럽에서는 꾸준한 성장세를 보이고 있지만, 얼굴인식 기술에 대한 규제적 제약이 도입에 영향을 미칠 수 있습니다. 아시아태평양은 AI 투자 증가와 의료 및 IT 부문의 성장에 힘입어 가장 높은 CAGR을 나타낼 것으로 예측됩니다. 라틴아메리카와 중동 및 아프리카은 디지털 전환 노력에 힘입어 완만한 성장세를 보이고 있습니다.
이 보고서는 세계 이미지 인식 시장에 대한 상세한 분석을 제공합니다. 2025년, 2026년, 2034년 시장 규모, 성장 동인, 동향, 억제요인, 부문 분석, 지역별 전망, 경쟁 구도, 시장 확대에 영향을 미치는 주요 개발 내용을 정리하여 전해드립니다.
목차
제1장 서론
제2장 주요 요약
제3장 시장 역학
제4장 경쟁 구도
제5장 세계의 이미지 인식 시장 규모 추정·예측, 부문별, 2021년-2034년
제6장 북미 이미지 인식 시장 규모 추정·예측, 부문별, 2021년-2034년
제7장 유럽 이미지 인식 시장 규모 추정·예측, 부문별, 2021년-2034년
제8장 아시아태평양 이미지 인식 시장 규모 추정·예측, 부문별, 2021년-2034년
제9장 중동 및 아프리카 이미지 인식 시장 규모 추정·예측, 부문별, 2021년-2034년
제10장 라틴아메리카 이미지 인식 시장 규모 추정·예측, 부문별, 2021년-2034년
제11장 주요 10개사 기업 개요
LSH
영문 목차
영문목차
Growth Factors of image recognition Market
The global image recognition market is witnessing robust growth, driven by the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across multiple industries. According to the report, the global image recognition market size was valued at USD 58.56 billion in 2025. The market is projected to reach USD 68.46 billion in 2026 and further expand to USD 212.77 billion by 2034, registering a CAGR of 15.20% during the forecast period.
North America dominated the global market in 2025, accounting for a 32.10% market share, supported by early adoption of AI-driven solutions, strong technological infrastructure, and significant investments in computer vision technologies. The U.S. image recognition market is expected to grow substantially, reaching USD 19,193.3 million by 2032, driven by the growing popularity of AI-based applications.
Image recognition technology enables the identification and analysis of objects, logos, people, and patterns from digital images using AI and ML algorithms. Continuous advancements in these technologies have improved accuracy, scalability, and cost efficiency, thereby supporting widespread adoption across industries.
Market Definition and Scope
Image recognition refers to computer vision technology that enables machines to identify, classify, and interpret visual data from images or videos. The technology relies on deep learning models, neural networks, and advanced image processing algorithms to extract meaningful insights from visual inputs.
The market scope covers image recognition solutions deployed across industries such as retail, media & entertainment, IT & telecommunications, BFSI, healthcare, government, automotive, and transportation & logistics. The report also evaluates the growing integration of image recognition with augmented reality (AR), autonomous vehicles, security systems, and mobile applications.
Market Dynamics
Drivers
The increasing adoption of AI-driven technologies is a major driver of the image recognition market. AI-powered computer vision applications such as facial recognition, object detection, and visual search are transforming business operations across industries. The demand for automated image analysis in areas such as security surveillance, medical diagnostics, and autonomous vehicles is significantly boosting market growth.
Additionally, the growing use of smartphones and high-bandwidth data services has increased the demand for image-based applications. Image recognition enables linking offline content such as brochures and magazines with digital experiences including videos, AR features, and product information, enhancing customer engagement.
Trends
The emergence of deep learning and convolutional neural networks (CNNs) is a key market trend. These technologies enable faster and more accurate image and video recognition, driving adoption across healthcare, automotive, gaming, and e-commerce sectors. Major technology providers are continuously enhancing their image recognition platforms by integrating advanced neural network architectures.
The increasing use of cloud-based image recognition APIs, such as Amazon Rekognition, for image classification and visual search is further supporting market expansion.
Restraints
Despite strong growth, the market faces challenges from government regulations and privacy concerns. Several regions across the U.S., Europe, and Asia Pacific have imposed restrictions on facial recognition technology due to data privacy and surveillance concerns. Such regulatory limitations are restraining the adoption of image recognition solutions in public surveillance and law enforcement applications.
Impact of COVID-19
The COVID-19 pandemic accelerated digital transformation across industries, increasing the adoption of advanced recognition technologies. During the pandemic, organizations widely implemented facial recognition and pattern recognition systems for contactless identification, security monitoring, and digital payments. Banking and financial institutions increasingly adopted face recognition-based mobile payment services, supporting market growth during this period.
Segmentation Analysis
By component, the market is segmented into hardware, software, and services. Among these, the software segment dominated the market, holding a 39.59% share in 2026, driven by rising adoption of image recognition algorithms in automation, Industry 4.0 initiatives, and data analytics applications.
By technology, the market is classified into code recognition, facial recognition, object recognition, pattern recognition, and optical character recognition (OCR). Code recognition holds a significant market share due to its extensive use in inventory management and data entry. The facial recognition segment is expected to grow at a notable rate, reaching a 24.69% share in 2026, supported by advancements in AI and machine vision.
By application, security and surveillance is the leading segment, accounting for 23.52% market share in 2026, driven by rising public safety concerns and increased deployment of biometric systems. Augmented reality is emerging as a high-growth segment due to the popularity of virtual try-on applications.
Regional Insights
North America led the market with a valuation of USD 18.85 billion in 2025 and USD 20.91 billion in 2026, supported by early technology adoption and autonomous vehicle development. Europe is witnessing steady growth, although regulatory restrictions on facial recognition may impact adoption. Asia Pacific is expected to record the highest CAGR, driven by increasing AI investments and growing healthcare and IT sectors. Latin America and the Middle East & Africa are experiencing gradual growth supported by digital transformation initiatives.
Competitive Landscape
The image recognition market is highly competitive, with key players focusing on innovation, partnerships, and platform expansion. Major companies include Amazon Web Services (AWS), NEC Corporation, NVIDIA Corporation, Google LLC, Microsoft Corporation, Huawei Cloud, Toshiba Corporation, and Blippar Ltd. Continuous product advancements are enabling companies to strengthen their market presence.
Report Coverage
The report provides an in-depth analysis of the global image recognition market, covering market size for 2025, 2026, and 2034, growth drivers, trends, restraints, segmentation analysis, regional outlook, competitive landscape, and key industry developments influencing market expansion.
Conclusion
The global image recognition market, growing from USD 58.56 billion in 2025 to USD 212.77 billion by 2034, is set for strong and sustained growth. Rapid advancements in AI and deep learning, expanding use of image-based applications across industries, and increasing investments in computer vision technologies will continue to drive long-term market expansion, despite regulatory challenges related to data privacy.
Segmentation By Component
Hardware
Software
Services
Implementation
Consulting and Training
Support and Maintenance
By Technology
Code Recognition
Facial Recognition
Object Recognition
Pattern Recognition
Optical Character Recognition
By Application
Scanning and Imaging
Security and Surveillance
Image Search
Augmented Reality
Marketing and Advertising
By Deployment
On-Premise
Cloud
By End-user
BFSI
Media and Entertainment
Retail and E-commerce
IT and Telecom
Government
Healthcare
Transportation and Logistics
Others
By Region
North America (By Component, By Technology, By Application, By Deployment, By End-user, and By Country)
U.S.
Canada
Europe (By Component, By Technology, By Application, By Deployment, By End-user, and By Country)
U.K.
Germany
France
Italy
Spain
Rest of Europe
Asia Pacific (By Component, By Technology, By Application, By Deployment, By End-user, and by Country)
China
Japan
India
Southeast Asia
Rest of Asia Pacific
Middle East & Africa (By Component, By Technology, By Application, By Deployment, By End-user, and By Country)
GCC
South Africa
Rest of the Middle East & Africa
Latin America (By Component, By Technology, By Application, By Deployment, By End-user, and By Country)
Brazil
Mexico
Argentina
Rest of Latin America
Table of Content
1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Image Recognition Key Players Market Share/Ranking, 2025
5. Global Image Recognition Market Size Estimates and Forecasts, By Segments, 2021-2034
5.1. Key Findings
5.2. By Component (USD)
5.2.1. Hardware
5.2.2. Software
5.2.3. Services
5.2.3.1. Implementation
5.2.3.2. Consulting and Training
5.2.3.3. Support and Maintenance
5.3. By Technology (USD)
5.3.1. Code Recognition
5.3.2. Facial Recognition
5.3.3. Object Recognition
5.3.4. Pattern Recognition
5.3.5. Optical Character Recognition
5.4. By Application (USD)
5.4.1. Scanning and Imaging
5.4.2. Security and Surveillance
5.4.3. Image Search
5.4.4. Augmented Reality
5.4.5. Marketing and Advertising
5.5. By Deployment (USD)
5.5.1. On-premise
5.5.2. Cloud
5.6. By End User (USD)
5.6.1. BFSI
5.6.2. Media and Entertainment
5.6.3. Retail and E-commerce
5.6.4. IT and Telecom
5.6.5. Government
5.6.6. Healthcare
5.6.7. Transportation and Logistics
5.6.8. Others (Agriculture, Automotive, etc.)
5.7. By Region (USD)
5.7.1. North America
5.7.2. Europe
5.7.3. Asia Pacific
5.7.4. Middle East & Africa
5.7.5. Latin America
6. North America Image Recognition Market Size Estimates and Forecasts, By Segments, 2021-2034
6.1. Key Findings
6.2. By Component (USD)
6.2.1. Hardware
6.2.2. Software
6.2.3. Services
6.2.3.1. Implementation
6.2.3.2. Consulting and Training
6.2.3.3. Support and Maintenance
6.3. By Technology (USD)
6.3.1. Code Recognition
6.3.2. Facial Recognition
6.3.3. Object Recognition
6.3.4. Pattern Recognition
6.3.5. Optical Character Recognition
6.4. By Application (USD)
6.4.1. Scanning and Imaging
6.4.2. Security and Surveillance
6.4.3. Image Search
6.4.4. Augmented Reality
6.4.5. Marketing and Advertising
6.5. By Deployment (USD)
6.5.1. On-premise
6.5.2. Cloud
6.6. By End User (USD)
6.6.1. BFSI
6.6.2. Media and Entertainment
6.6.3. Retail and E-commerce
6.6.4. IT and Telecom
6.6.5. Government
6.6.6. Healthcare
6.6.7. Transportation and Logistics
6.6.8. Others
6.7. By Country (USD)
6.7.1. U.S.
6.7.2. Canada
7. Europe Image Recognition Market Size Estimates and Forecasts, By Segments, 2021-2034
7.1. Key Findings
7.2. By Component (USD)
7.2.1. Hardware
7.2.2. Software
7.2.3. Services
7.2.3.1. Implementation
7.2.3.2. Consulting and Training
7.2.3.3. Support and Maintenance
7.3. By Technology (USD)
7.3.1. Code Recognition
7.3.2. Facial Recognition
7.3.3. Object Recognition
7.3.4. Pattern Recognition
7.3.5. Optical Character Recognition
7.4. By Application (USD)
7.4.1. Scanning and Imaging
7.4.2. Security and Surveillance
7.4.3. Image Search
7.4.4. Augmented Reality
7.4.5. Marketing and Advertising
7.5. By Deployment (USD)
7.5.1. On-premise
7.5.2. Cloud
7.6. By End User (USD)
7.6.1. BFSI
7.6.2. Media and Entertainment
7.6.3. Retail and E-commerce
7.6.4. IT and Telecom
7.6.5. Government
7.6.6. Healthcare
7.6.7. Transportation and Logistics
7.6.8. Others
7.7. By Country (USD)
7.7.1. U.K.
7.7.2. Germany
7.7.3. France
7.7.4. Italy
7.7.5. Spain
7.7.6. Rest of Europe
8. Asia Pacific Image Recognition Market Size Estimates and Forecasts, By Segments, 2021-2034
8.1. Key Findings
8.2. By Component (USD)
8.2.1. Hardware
8.2.2. Software
8.2.3. Services
8.2.3.1. Implementation
8.2.3.2. Consulting and Training
8.2.3.3. Support and Maintenance
8.3. By Technology (USD)
8.3.1. Code Recognition
8.3.2. Facial Recognition
8.3.3. Object Recognition
8.3.4. Pattern Recognition
8.3.5. Optical Character Recognition
8.4. By Application (USD)
8.4.1. Scanning and Imaging
8.4.2. Security and Surveillance
8.4.3. Image Search
8.4.4. Augmented Reality
8.4.5. Marketing and Advertising
8.5. By Deployment (USD)
8.5.1. On-premise
8.5.2. Cloud
8.6. By End User (USD)
8.6.1. BFSI
8.6.2. Media and Entertainment
8.6.3. Retail and E-commerce
8.6.4. IT and Telecom
8.6.5. Government
8.6.6. Healthcare
8.6.7. Transportation and Logistics
8.6.8. Others
8.7. By Country (USD)
8.7.1. China
8.7.2. Japan
8.7.3. India
8.7.4. Southeast Asia
8.7.5. Rest of Asia Pacific
9. Middle East & Africa Image Recognition Market Size Estimates and Forecasts, By Segments, 2021-2034
9.1. Key Findings
9.2. By Component (USD)
9.2.1. Hardware
9.2.2. Software
9.2.3. Services
9.2.3.1. Implementation
9.2.3.2. Consulting and Training
9.2.3.3. Support and Maintenance
9.3. By Technology (USD)
9.3.1. Code Recognition
9.3.2. Facial Recognition
9.3.3. Object Recognition
9.3.4. Pattern Recognition
9.3.5. Optical Character Recognition
9.4. By Application (USD)
9.4.1. Scanning and Imaging
9.4.2. Security and Surveillance
9.4.3. Image Search
9.4.4. Augmented Reality
9.4.5. Marketing and Advertising
9.5. By Deployment (USD)
9.5.1. On-premise
9.5.2. Cloud
9.6. By End User (USD)
9.6.1. BFSI
9.6.2. Media and Entertainment
9.6.3. Retail and E-commerce
9.6.4. IT and Telecom
9.6.5. Government
9.6.6. Healthcare
9.6.7. Transportation and Logistics
9.6.8. Others
9.7. By Country (USD)
9.7.1. GCC
9.7.2. South Africa
9.7.3. Rest of MEA
10. Latin America Image Recognition Market Size Estimates and Forecasts, By Segments, 2021-2034
10.1. Key Findings
10.2. By Component (USD)
10.2.1. Hardware
10.2.2. Software
10.2.3. Services
10.2.3.1. Implementation
10.2.3.2. Consulting and Training
10.2.3.3. Support and Maintenance
10.3. By Technology (USD)
10.3.1. Code Recognition
10.3.2. Facial Recognition
10.3.3. Object Recognition
10.3.4. Pattern Recognition
10.3.5. Optical Character Recognition
10.4. By Application (USD)
10.4.1. Scanning and Imaging
10.4.2. Security and Surveillance
10.4.3. Image Search
10.4.4. Augmented Reality
10.4.5. Marketing and Advertising
10.5. By Deployment (USD)
10.5.1. On-premise
10.5.2. Cloud
10.6. By End User (USD)
10.6.1. BFSI
10.6.2. Media and Entertainment
10.6.3. Retail and E-commerce
10.6.4. IT and Telecom
10.6.5. Government
10.6.6. Healthcare
10.6.7. Transportation and Logistics
10.6.8. Others
10.7. By Country (USD)
10.7.1. Brazil
10.7.2. Mexico
10.7.3. Argentina
10.7.4. Rest of Latin America
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Amazon Web Services (AWS) Inc.
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. V7Labs
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. NEC Corporation
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. NVIDIA Corporation
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Slyce Acquisition Inc.
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Clarifai, Inc.
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Google LLC
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Blippar Ltd.
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Toshiba Corporation
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Huawei Cloud
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
