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市场调查报告书
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1642131

电脑视觉：市场占有率分析、产业趋势与统计、成长预测（2025-2030 年）

Computer Vision - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

电脑视觉市场规模在 2025 年预计为 203.1 亿美元，预计到 2030 年将达到 459.1 亿美元，预测期内（2025-2030 年）的复合年增长率为 17.72%。

电脑视觉-市场-IMG1

借助数位相机和视频，透过应用深度机器学习演算法，电脑视觉可以准确识别系统中的任何缺陷。

主要亮点

  • 电脑视觉技术中的人工智慧在各种使用案例中变得越来越普遍，包括用于消费级无人机以及自动和半自动汽车的电脑视觉解决方案。影像感测器、高效能摄影机和深度学习技术的最新进展使得电脑视觉系统在许多领域的应用日益广泛，包括教育、医疗保健、机器人、消费性电子、零售、製造以及安全和监控。
  • 电脑视觉系统使用脸部辨识和生物识别扫描来更好地保护宝贵资产。智慧型手机安全是脸部辨识技术最常见的应用，因为电脑视觉系统能够辨识人类视网膜和虹膜中的各种模式。
  • 此外，脸部辨识的更高级应用包括使用受试者的生理特征来验证其身分的商业或家庭安全系统。银行金库房和实验室等高度安全的场所也使用指纹分析进行存取控制。
  • 例如，2022 年 8 月，总部位于杜拜、为医院和医疗机构开发人工智慧解决方案的公司 TachyHealth 与为患者提供远端医疗咨询的 Medical Refill 合作。此次合作旨在让临床团队能够获得电脑视觉和人工智慧等技术解决方案。
  • 此外，根据世界卫生组织统计，每年有125万人死于道路交通事故。此外，根据世界卫生组织的数据，到2030年，这种趋势将使其成为第七大死因，超过心臟病。大多数道路事故都涉及弱势道路使用者（VRU），例如骑自行车的人和行人。因此，可以推定大多数交通事故都是由人为错误引起的。因此，推动电脑视觉市场发展的一项新技术是无人驾驶汽车。
  • 然而，整合电脑视觉系统的复杂性以及围绕云端基础的影像处理日益增长的安全性问题是限制市场扩展的主要挑战。此外，对高素质和经验丰富的专业人员的高需求以及对用户资料隐私和安全的担忧也是限制市场成长的主要因素。

电脑视觉市场趋势

製造业预计将实现强劲成长

  • 机器人和自动化在製造业中应用最为广泛。随着製造设施走向全自动化製造，对更智慧的系统来监控工业流程和结果的需求日益增加。机器视觉是电脑视觉的一个分支，随着物联网改变製造业并使其更加自主，它正在进一步帮助改善工业运作。
  • 此外，製造商可以使用电脑视觉为钻机、管道、设施和油田的远端现场检查提供预测性维护。借助电脑视觉，可以密切监控包装和产品质量，减少缺陷产品的数量。
  • 例如，云端处理平台公司亚马逊网路服务公司 (Amazon Web Services, Inc.) 最近推出了一项视觉服务 Amazon Lookout，用于检查正在製造的产品。 Amazon Lookout 旨在透过消除建置、最佳化、训练、监控和部署电脑视觉模型的障碍，让更多製造场所更容易使用电脑视觉模型。它还帮助客户将电脑视觉应用到其设施的作业系统中。
  • 此外，电脑视觉和深度学习演算法将自动检查生产线上的每件产品。例如，2022 年 1 月，提供人工智慧视讯可追溯性和视讯分析的公司 Drishti Technologies, Inc. 将使用电脑视觉和深度学习来自动分析来自生产部门的现场视讯记录。本质上，该公司在生产线上安装摄影机来录製视频，然后使用行为识别、异常检测和物体检测进行分析。
  • 预测性维护部分预计将在预测期内扩大。预测性维护将机器学习演算法与物联网 (IoT) 设备结合，以监控来自机器和相关组件的资料。因此，预计该地区的市场也将受到数位技术日益普及以及与每个垂直行业高度相关的预测性维护偏好的推动。

亚太地区成长强劲

  • 包括中国和印度在内的亚太地区是世界上成长最快的经济体之一。中国是世界消费品和电子产品製造业领导者。电脑视觉在製造业中有着广泛的应用，「中国製造2025」目标是推动该领域市场成长的关键因素之一。
  • 中国专家开发了一种机器学习驱动的系统来解释电脑断层扫描和患者临床资料。当调查团队将系统的表现与中国专家的表现进行比较时，他们有了意想不到的发现。此组合模型成功识别了 70% 以上被医疗专业人员视为电脑断层扫描正常的患者的 COVID-19 感染。上述研究也发现，深度学习和电脑视觉技术可以帮助识别人眼看不见的复杂图案。
  • 此外，由于政府措施的加强，印度的医疗保健产业正在迅速扩张。为了促进印度成为医疗旅游中心，政府推出了一系列措施。这反过来可能会导致对最先进的诊断设施的大量资本投资，从而推动电脑视觉技术的应用和需求。
  • 此外，透过提供多功能网路架构，高效能硬体组件简化了视觉系统的安装并支援各种不同的应用。例如，2022 年 8 月，电脑视觉技术供应商 VisualCortex Pty Ltd 与公共安全监控供应商 i-PRO 合作，让在整个亚太地区从头到尾安装企业级视讯分析系统变得更加容易。

电脑视觉产业概览

电脑视觉技术市场参与者之间的竞争正在逐渐加剧。脸部辨识、手势姿态分析和增强安全性等最新技术进步正在彻底改变製造业、医疗保健等各个行业。这导致大量公司进入该市场。主要参与者包括英特尔公司、国家仪器公司、Keyence公司、德克萨斯公司和 SAS 研究所。其中一些进展包括：

2022 年 8 月，Vedanta Limited 与基于工业人工智慧创造最尖端科技的公司 Detect Technologies 合作。此次合作旨在部署 Detect Technologies 基于人工智慧的办公室软体 T-pulse。 T-Pulse 软体的 COVID-19 合规模块将帮助 Vedanta Limited 的工作空间满足所有必要的要求并保持最高的卫生标准。 T Computerpulse 的视觉技术也改进了数位安全监控系统。

2022年3月，AI电脑视觉平台Cogniac与美国科技公司Cisco公司（Cisco Meraki）最近建立了合作关係。此次合作将实现 Cogniak 的电脑视觉功能与CiscoMV 智慧摄影机和云端基础的平台的整合。这两个组织将创建机器学习模型，使用图像和影像资料来追踪行为，而无需任何新的基础设施或人工智慧专业知识。

其他福利：

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 调查结果
  • 调查前提
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场动态

  • 市场概况
  • 市场驱动因素与限制因素简介
  • 市场驱动因素
    • 对品质检测和自动化的需求日益增加
    • 对视觉引导机器人系统的需求不断增加
  • 市场限制
    • 整合电脑视觉系统的复杂性
  • 产业价值链分析
  • 产业吸引力-波特五力分析
    • 新进入者的威胁
    • 购买者/消费者的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争强度

第五章 市场区隔

  • 按组件
    • 硬体
    • 软体
  • 按最终用户产业
    • 生命科学
    • 製造业
    • 国防和安全
    • 汽车
    • 其他最终用户产业
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 世界其他地区

第六章 竞争格局

  • 公司简介
    • Intel Corporation
    • National Instruments Corporation
    • SAS Institute
    • Keyence Corporation
    • Texas Instruments Incorporated
    • Microsoft Corporation.
    • Omron Corporation
    • Sony Corporation
    • Cadence Design Systems, Inc.
    • Synopsys, Inc.

第七章 市场机会与未来趋势

  • 投资分析
简介目录
Product Code: 66885

The Computer Vision Market size is estimated at USD 20.31 billion in 2025, and is expected to reach USD 45.91 billion by 2030, at a CAGR of 17.72% during the forecast period (2025-2030).

Computer Vision - Market - IMG1

With the help of digital cameras or videos and applying deep machine learning algorithms, computer vision accurately identifies any defect in the system, thus, making it one of the critical components in predictive maintenance.

Key Highlights

  • AI in computer vision technology is becoming increasingly popular in various use cases, including computer vision solutions in consumer drones and autonomous & semi-autonomous cars. Due to recent advancements in image sensors, sophisticated cameras, and deep learning techniques, the application of computer vision systems has increased in many sectors, including education, healthcare, robotics, consumer electronics, retail, manufacturing, and security & surveillance.
  • Computer vision systems use facial recognition and biometric scanning to increase the protection of valuable assets. Due to computer vision systems' ability to distinguish various patterns in human retinas and irises, smartphone security is the most common application for facial recognition technology.
  • Additionally, more sophisticated applications of facial recognition include commercial or home security systems that confirm identity using the physiological characteristics of the subject. High-security locations like bank vaults and research labs are also subject to fingerprint analysis for access control.
  • For instance, in August 2022, TachyHealth, Inc., a Dubai-based developer of artificial intelligence solutions for hospitals and medical facilities, partnered with Medical Refill, a company that offers patients remote medical consultations. The alliance intends to give the clinical team access to technological solutions, including computer vision and artificial intelligence.
  • Additionally, according to the WHO, 1.25 million individuals pass away each year as a result of traffic accidents. Furthermore, according to the WHO, by 2030, this trend will overtake heart disease as the seventh biggest cause of death. The majority of traffic collisions can be linked to Vulnerable Road Users (VRUs), such as cyclists and pedestrians. Thus, it may be inferred that human mistake is to blame for the majority of traffic accidents. Consequently, a new technology that is pushing the market for computer vision is driverless vehicles.
  • However, the complexity of integrating computer vision systems and the growing security issues surrounding cloud-based image processing are some of the key challenges that are limiting the market's expansion. Additionally, the market's growth is primarily being constrained by the high demand for highly qualified and experienced professionals, as well as worries about the privacy and security of user data.

Computer Vision Market Trends

Manufacturing Sector is Expected to Register a Significant Growth

  • Robotics and automation are being used most heavily in the manufacturing sector. There is an increasing need for more intelligent systems to monitor industrial processes and outcomes as manufacturing facilities move toward completely automated manufacturing. Machine vision, a branch of computer vision, is further assisting in improving industrial operations as the IoT is transforming the manufacturing sector and making them more autonomous.
  • Additionally, manufacturers can use computer vision to provide predictive maintenance for remote site inspections of rigs, pipelines, facilities, and fields. With the aid of computer vision, packaging and product quality are closely monitored, and the number of defective products is also decreased.
  • For instance, cloud computing platform company Amazon Web Services, Inc. recently introduced Amazon Lookout, a vision service for checking products while they are being manufactured. Amazon Lookout aims to make computer vision models more accessible to many manufacturing facilities by removing barriers to building, optimizing computer vision models, training, monitoring, and deploying. It would also support its customers' deployment of computer vision into its operating systems inside of their facilities.
  • Additionally, every product in the production line can have its inspection automated thanks to computer vision and deep learning algorithms. For instance, in January 2022, Drishti Technologies, Inc., an AI-driven video traceability and video analytics provider, will automate the analysis of floor video recordings from production units using computer vision and deep learning. In essence, the company has installed cameras on manufacturing lines to record videos, which are afterwards analysed using action recognition, anomaly detection, and object detection.
  • Over the projected period, it is anticipated that the predictive maintenance segment will expand. To monitor the data of the machinery and associated components, predictive maintenance blends machine learning algorithms with IoT (Internet of Things) devices. Thus, it is anticipated that the region's market would also be driven by the increased adoption of digital technology and the preference for predictive maintenance that is more relevant to their industry.

Asia-Pacific to Witness the Significant Growth

  • One of the economies with the fastest growth rates in the world, including China and India, is found in the Asia-Pacific area. China is the global leader in manufacturing items like consumer goods or other electronic goods. Since computer vision has numerous applications in the manufacturing sector, the "Made in China 2025" aim is one of the key factors promoting market growth in the area.
  • Chinese experts developed an ML-driven system to interpret CT scans and patient clinical data. The researchers made an unexpected finding when they compared the system's performance to that of a Chinese expert. The combined model successfully identified COVID-19 infection in over 70% of patients with CT scans judged to be normal by medical professionals. The survey above also discovered that deep learning and computer vision technologies help recognize complex patterns that are invisible to the human eye.
  • Additionally, India's healthcare industry is expanding rapidly due to increased government initiatives. To promote India's emergence as a center of medical tourism, the government has put in place a number of measures. As a result, it increases the potential for substantial capital investments in cutting-edge diagnostic facilities, boosting the uptake and demand for computer vision technologies.
  • Additionally, by providing a variety of networking architectures, high-performance hardware components have simplified the installation of vision systems and serve a wide range of diverse applications. For instance, in August 2022, the provider of computer vision technology VisualCortex Pty Ltd, joined forces with the supplier of security surveillance for public safety, i-PRO, to make it easier to install enterprise-wide video analytics systems from beginning to finish in the Asia-Pacific area.

Computer Vision Industry Overview

In the computer vision technology market, the competition among the players is moderately increasing. Recent advancements in technologies such as facial recognition, gesture analysis, and enhanced security are revolutionizing different industries such as manufacturing, healthcare, etc. Therefore, different companies are entering the market. Some key players are Intel Corporation, National Instruments Corporation, Keyence Corporation, Texas Instruments Incorporated, and SAS Institute. Some of the developments are:

In August 2022, Vedanta Limited teamed with Detect Technologies, an organization based on industrial artificial intelligence that creates cutting-edge technology. The alliance aims to roll out T-pulse, Detect Technologies' AI-based office software. The COVID-19 compliance module of the T-pulse software will assist Vedanta Limited in ensuring that its workspaces meet all necessary requirements and uphold the highest sanitization standards. T-computer Pulse's vision technology would also improve the digital safety monitoring system.

In March 2022, the AI computer vision platform Cogniac and the American technology company Cisco Systems Inc. (Cisco Meraki) recently established a cooperation. The cooperation would enable the integration of Cogniac's computer vision capabilities with MV smart cameras from Cisco Systems Inc. and cloud-based platforms. Both organizations would create machine learning models that make use of picture and video data to track the actions without the requirement for new infrastructure or AI expertise.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Increasing Need for Quality Inspection and Automation
    • 4.3.2 Growing Demand for Vision-Guided Robotic Systems
  • 4.4 Market Restraints
    • 4.4.1 Complexity in Integrating Computer Vision Systems
  • 4.5 Industry Value Chain Analysis
  • 4.6 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.6.1 Threat of New Entrants
    • 4.6.2 Bargaining Power of Buyers/Consumers
    • 4.6.3 Bargaining Power of Suppliers
    • 4.6.4 Threat of Substitute Products
    • 4.6.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Components
    • 5.1.1 Hardware
    • 5.1.2 Software
  • 5.2 By End-user Industry
    • 5.2.1 Life science
    • 5.2.2 Manufacturing
    • 5.2.3 Defense & Security
    • 5.2.4 Automotive
    • 5.2.5 Other End User Industries
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.2 Europe
    • 5.3.3 Asia-Pacific
    • 5.3.4 Rest of World

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Intel Corporation
    • 6.1.2 National Instruments Corporation
    • 6.1.3 SAS Institute
    • 6.1.4 Keyence Corporation
    • 6.1.5 Texas Instruments Incorporated
    • 6.1.6 Microsoft Corporation.
    • 6.1.7 Omron Corporation
    • 6.1.8 Sony Corporation
    • 6.1.9 Cadence Design Systems, Inc.
    • 6.1.10 Synopsys, Inc.

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

  • 7.1 INVESTMENT ANALYSIS