影像识别市场－全球产业规模、份额、趋势、机会及预测（按组件、技术、部署类型、应用、最终用户、地区和竞争格局划分），2021-2031年

全球影像识别市场预计将从2025年的386.3亿美元成长到2031年的1,266.2亿美元，复合年增长率（CAGR）为21.88%。该市场涵盖利用人工智慧（AI）和机器学习技术来识别、处理和分类数位影像和影片中的视觉内容的技术。主要成长要素包括製造业对自动化品质保证日益增长的需求，以及安全营运中对生物识别的迫切需求。这些功能性需求并非昙花一现的行业潮流，而是反映了其在医疗保健、汽车和零售等行业中持久而重要的效用。

然而，经济波动为市场带来了许多障碍，可能导致资本密集型创新进程受阻。在金融不稳定时期，工业部门往往会缩减自动化投资，从而限制短期市场成长。例如，德国机械设备製造业联合会（VDMA）机器视觉报告指出，由于製造业需求下降，预计2024年欧洲机器视觉产业的销售额将下降10%。这一事实凸显了宏观经济的脆弱性如何成为影像识别解决方案稳步普及的重大障碍。

市场驱动因素

影像分析技术在医学诊断中的应用正在透过提高疾病检测的准确性和优化临床工作流程来变革医疗保健。特别是放射学，正越来越多地利用人工智慧演算法来解读复杂的影像数据，并识别肉眼可能遗漏的异常情况。监管数据也支持这一趋势：2025年4月，监管事务专业人员协会（RAPS）报告称，截至2024年8月，FDA核准的903种人工智慧医疗设备器材中，放射学应用占76.6%。如此广泛的应用凸显了影像识别在诊断系统中的关键作用及其处理日益增长的数位化医疗记录的能力。

同时，视觉搜寻在零售和电商领域的广泛应用，正透过实现直觉的影像驱动型产品发现，彻底改变消费者的体验。这项技术使消费者能够无缝地从店内产品发现过渡到线上交易，弥合了线上线下环境之间的鸿沟。根据 Imagga 2025 年 11 月的数据，Google镜头的使用量将达到每月约 200 亿次视觉搜寻，这标誌着搜寻习惯的重大转变。此外，整体自动化基础设施也不断扩展。自动化促进协会 (AAA) 在 2025 年 2 月宣布，2024 年食品和消费品行业的机器人订单增长了 65%，凸显了物流和品管领域对视觉引导系统的巨大需求。

市场挑战

经济波动是全球影像识别市场发展的主要障碍。资本密集的升级改造往往会延缓产业全面采用所需的投资。由于影像识别系统属于昂贵的基础设施投资，在经济情势不明朗时期，企业往往优先考虑流动性而非技术发展。这种财务谨慎态度导致自动化计划被推迟或取消，直接减缓了汽车和重工业等关键产业对视觉检测和识别硬体的采用。

这种犹豫不决的后果体现在主要工业地区的采购量下降，预算冻结阻碍了新型视觉引导机器人的整合。根据自动化促进协会 (AAA) 的数据，2024 年上半年，北美汽车零件产业（机器视觉技术的主要用户）的机器人订单减了约 39%。如此显着的下降表明，宏观经济的敏感性导致工业相关人员推迟现代化改造计划，从而直接导致影像识别供应商的收入成长放缓。

市场趋势

多模态人工智慧和大规模视觉模型的兴起正在重塑市场的技术范式，使其摆脱单一任务演算法的局限，转向能够处理文字和图像资料的通用基础模型。这项进步使得企业能够部署更灵活的感知系统，减少针对特定任务的调整，从而加速其在复杂、非结构化环境中的应用，而传统电脑视觉在这些环境中往往面临挑战。这种技术重点的转变也体现在技能发展上。 O'Reilly Media 于 2025 年 1 月发布的《2025 年技术趋势》报告指出，对生成式人工智慧培训内容的需求年增了 289%，凸显了向这些先进能力的显着转变。

同时，在模型训练中使用合成资料正在解决资料稀缺的难题，无需高成本人工标註成本即可实现高效能识别。透过使用电脑生成的影像模拟罕见或危险场景，开发人员可以使用数量少得多的真实世界资料来训练可靠的模型，从而有效地将效能与物理资料的可用性解耦。这种效率正在改变开发平臺。根据 Roboflow 于 2025 年 3 月发布的《2025 年视觉 AI 趋势报告》，43% 的企业模型使用少于 1000 张图像的资料集进行训练，这表明该行业正在减少对海量真实世界资料收集的依赖。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球影像识别市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按组件（软体、硬体、服务）
  • 透过技术（数位影像处理、程式码辨识、人脸脸部辨识、物体辨识、模式辨识、光学字元辨识）
  • 依部署类型（本机部署、云端部署）
  • 按应用领域（扫描/成像、安全性/监控、图像搜寻、扩增实境、行销、广告）
  • 按最终用户划分（IT与电信、政府、零售、汽车、医疗保健、媒体与娱乐、银行、金融服务和保险、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章 北美影像识别市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章 欧洲影像识别市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章 亚太地区影像识别市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章 中东和非洲影像识别市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章 南美洲影像识别市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球影像识别市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• Google LLC
• Microsoft Corporation
• IBM Corporation
• Amazon Web Services, Inc.
• Apple Inc.
• SenseTime Group Limited
• Clarifai, Inc.
• Cognex Corporation
• Hikvision Digital Technology Co., Ltd.
• NEC Corporation

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Image Recognition Market is projected to expand from USD 38.63 Billion in 2025 to USD 126.62 Billion by 2031, reflecting a CAGR of 21.88%. This market consists of technologies that leverage artificial intelligence and machine learning to identify, process, and classify visual content from digital images and videos. Key growth drivers include the rising necessity for automated quality assurance in manufacturing and the essential demand for biometric authentication in security operations. These functional needs represent a sustainable baseline of utility across the healthcare, automotive, and retail sectors, distinct from temporary industry fads.

However, the market confronts substantial hurdles stemming from economic volatility, which can postpone capital-heavy technology improvements. During periods of financial uncertainty, industrial sectors frequently curtail investments in automation, thereby limiting short-term market growth. For instance, VDMA Machine Vision reported that the European machine vision industry was expected to see a 10 percent decline in sales in 2024, attributed to lower demand from the manufacturing sector. This evidence underscores how macroeconomic sensitivity acts as a significant barrier to the steady implementation of image recognition solutions.

Market Driver

The application of image analysis in medical diagnostics is transforming healthcare by improving the accuracy of disease detection and optimizing clinical workflows. AI-powered algorithms are increasingly utilized to decode complex imaging data, especially within radiology, helping to spot anomalies that might be missed by human review. This integration is supported by regulatory data; the Regulatory Affairs Professionals Society reported in April 2025 that radiology applications made up 76.6% of the 903 FDA-cleared AI-enabled medical devices through August 2024. Such significant adoption highlights the essential role of image recognition in diagnostic systems and its ability to handle the growing volume of digital medical records.

concurrently, the adoption of visual search in retail and e-commerce is revolutionizing consumer interaction by facilitating intuitive, image-driven product discovery. This technology enables a seamless transition for shoppers from physical inspiration to digital transactions, bridging offline and online environments. According to Imagga in November 2025, Google Lens usage hit roughly 20 billion monthly visual searches, signaling a major change in search habits. Additionally, the broader automation infrastructure is expanding; the Association for Advancing Automation noted in February 2025 that robot orders in the food and consumer goods sector rose by 65% in 2024, indicating strong demand for vision-guided systems in logistics and quality control.

Market Challenge

Economic volatility serves as a major obstacle for the Global Image Recognition Market, frequently delaying the capital-intensive upgrades required for broad industry adoption. Since image recognition systems represent high-value infrastructure investments, corporations often prioritize liquidity over technological growth during times of financial instability. This fiscal caution leads to the postponement or cancellation of automation projects, directly stalling the deployment of visual inspection and recognition hardware in essential sectors such as automotive and heavy manufacturing.

The consequences of this hesitation are visible in reduced procurement figures from key industrial centers, where budget freezes impede the integration of new vision-guided robotics. Data from the Association for Advancing Automation reveals that in the first half of 2024, North American robot orders from the automotive component sector-a major user of machine vision technology-dropped by approximately 39 percent year-over-year. Such significant declines illustrate how macroeconomic sensitivity forces industrial players to defer modernization efforts, resulting in an immediate deceleration of revenue streams for image recognition vendors.

Market Trends

The rise of Multimodal AI and Large Vision Models is reshaping the market's technical framework, moving away from single-task algorithms toward versatile foundation models that can process both text and image data. This advancement enables organizations to deploy more flexible recognition systems that require less task-specific tuning, accelerating adoption in complex, unstructured environments where traditional computer vision struggled. This shift in technical focus is reflected in skill development; O'Reilly Media's 'Technology Trends for 2025' report from January 2025 noted a 289% year-over-year increase in demand for generative AI training content, highlighting a significant pivot toward these advanced capabilities.

Simultaneously, the use of Synthetic Data for Model Training is solving the challenge of data scarcity, allowing for high-performance recognition without the high costs of manual annotation. By using computer-generated imagery to simulate rare or dangerous scenarios, developers can train reliable models using much smaller volumes of real-world data, effectively decoupling performance from physical data availability. This efficiency is transforming development pipelines; Roboflow's '2025 Visual AI Trends Report' from March 2025 indicated that 43% of enterprise models were trained on datasets with fewer than 1,000 images, demonstrating the industry's decreasing reliance on massive real-world data collection.

Key Market Players

• Google LLC
• Microsoft Corporation
• IBM Corporation
• Amazon Web Services, Inc.
• Apple Inc.
• SenseTime Group Limited
• Clarifai, Inc.
• Cognex Corporation
• Hikvision Digital Technology Co., Ltd.
• NEC Corporation

Report Scope

In this report, the Global Image Recognition Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Image Recognition Market, By Component

• Software
• Hardware
• Services

Image Recognition Market, By Technology

• Digital Image Processing
• Code Recognition
• Facial Recognition
• Object Recognition
• Pattern Recognition
• Optical Character Recognition

Image Recognition Market, By Deployment

• On Premise
• On Cloud

Image Recognition Market, By Application

• Scanning and Imaging
• Security and Surveillance
• Image Search
• Augmented Reality
• Marketing
• Advertisement

Image Recognition Market, By End User

• IT & Telecom
• Government
• Retail
• Automobile
• Healthcare
• Media & Entertainment
• BFSI
• Others

Image Recognition Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Image Recognition Market.

Available Customizations:

Global Image Recognition Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Image Recognition Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Software, Hardware, Services)
  • 5.2.2. By Technology (Digital Image Processing, Code Recognition, Facial Recognition, Object Recognition, Pattern Recognition, Optical Character Recognition)
  • 5.2.3. By Deployment (On Premise, On Cloud)
  • 5.2.4. By Application (Scanning and Imaging, Security and Surveillance, Image Search, Augmented Reality, Marketing, Advertisement)
  • 5.2.5. By End User (IT & Telecom, Government, Retail, Automobile, Healthcare, Media & Entertainment, BFSI, Others)
  • 5.2.6. By Region
  • 5.2.7. By Company (2025)
• 5.3. Market Map

6. North America Image Recognition Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Technology
  • 6.2.3. By Deployment
  • 6.2.4. By Application
  • 6.2.5. By End User
  • 6.2.6. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Image Recognition Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Technology
      • 6.3.1.2.3. By Deployment
      • 6.3.1.2.4. By Application
      • 6.3.1.2.5. By End User
  • 6.3.2. Canada Image Recognition Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Technology
      • 6.3.2.2.3. By Deployment
      • 6.3.2.2.4. By Application
      • 6.3.2.2.5. By End User
  • 6.3.3. Mexico Image Recognition Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Technology
      • 6.3.3.2.3. By Deployment
      • 6.3.3.2.4. By Application
      • 6.3.3.2.5. By End User

7. Europe Image Recognition Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Technology
  • 7.2.3. By Deployment
  • 7.2.4. By Application
  • 7.2.5. By End User
  • 7.2.6. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Image Recognition Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Technology
      • 7.3.1.2.3. By Deployment
      • 7.3.1.2.4. By Application
      • 7.3.1.2.5. By End User
  • 7.3.2. France Image Recognition Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Technology
      • 7.3.2.2.3. By Deployment
      • 7.3.2.2.4. By Application
      • 7.3.2.2.5. By End User
  • 7.3.3. United Kingdom Image Recognition Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Technology
      • 7.3.3.2.3. By Deployment
      • 7.3.3.2.4. By Application
      • 7.3.3.2.5. By End User
  • 7.3.4. Italy Image Recognition Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Technology
      • 7.3.4.2.3. By Deployment
      • 7.3.4.2.4. By Application
      • 7.3.4.2.5. By End User
  • 7.3.5. Spain Image Recognition Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Technology
      • 7.3.5.2.3. By Deployment
      • 7.3.5.2.4. By Application
      • 7.3.5.2.5. By End User

8. Asia Pacific Image Recognition Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Technology
  • 8.2.3. By Deployment
  • 8.2.4. By Application
  • 8.2.5. By End User
  • 8.2.6. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Image Recognition Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Technology
      • 8.3.1.2.3. By Deployment
      • 8.3.1.2.4. By Application
      • 8.3.1.2.5. By End User
  • 8.3.2. India Image Recognition Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Technology
      • 8.3.2.2.3. By Deployment
      • 8.3.2.2.4. By Application
      • 8.3.2.2.5. By End User
  • 8.3.3. Japan Image Recognition Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Technology
      • 8.3.3.2.3. By Deployment
      • 8.3.3.2.4. By Application
      • 8.3.3.2.5. By End User
  • 8.3.4. South Korea Image Recognition Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Technology
      • 8.3.4.2.3. By Deployment
      • 8.3.4.2.4. By Application
      • 8.3.4.2.5. By End User
  • 8.3.5. Australia Image Recognition Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Technology
      • 8.3.5.2.3. By Deployment
      • 8.3.5.2.4. By Application
      • 8.3.5.2.5. By End User

9. Middle East & Africa Image Recognition Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Technology
  • 9.2.3. By Deployment
  • 9.2.4. By Application
  • 9.2.5. By End User
  • 9.2.6. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Image Recognition Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Technology
      • 9.3.1.2.3. By Deployment
      • 9.3.1.2.4. By Application
      • 9.3.1.2.5. By End User
  • 9.3.2. UAE Image Recognition Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Technology
      • 9.3.2.2.3. By Deployment
      • 9.3.2.2.4. By Application
      • 9.3.2.2.5. By End User
  • 9.3.3. South Africa Image Recognition Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Technology
      • 9.3.3.2.3. By Deployment
      • 9.3.3.2.4. By Application
      • 9.3.3.2.5. By End User

10. South America Image Recognition Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Technology
  • 10.2.3. By Deployment
  • 10.2.4. By Application
  • 10.2.5. By End User
  • 10.2.6. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Image Recognition Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Technology
      • 10.3.1.2.3. By Deployment
      • 10.3.1.2.4. By Application
      • 10.3.1.2.5. By End User
  • 10.3.2. Colombia Image Recognition Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Technology
      • 10.3.2.2.3. By Deployment
      • 10.3.2.2.4. By Application
      • 10.3.2.2.5. By End User
  • 10.3.3. Argentina Image Recognition Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Technology
      • 10.3.3.2.3. By Deployment
      • 10.3.3.2.4. By Application
      • 10.3.3.2.5. By End User

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Image Recognition Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Google LLC
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Microsoft Corporation
• 15.3. IBM Corporation
• 15.4. Amazon Web Services, Inc.
• 15.5. Apple Inc.
• 15.6. SenseTime Group Limited
• 15.7. Clarifai, Inc.
• 15.8. Cognex Corporation
• 15.9. Hikvision Digital Technology Co., Ltd.
• 15.10. NEC Corporation

16. Strategic Recommendations

17. About Us & Disclaimer