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市场调查报告书
商品编码
1687593
电脑视觉人工智慧市场规模、份额及成长分析(机器学习模型、功能、技术、应用、最终用途及地区)-2025-2032 年产业预测Artificial Intelligence in Computer Vision Market Size, Share, and Growth Analysis, By Machine Learning Models, By Offering, By Function, By Technology, By Application, By Vertical, By Region - Industry Forecast 2025-2032 |
预计电脑视觉中的人工智慧 (AI) 市场规模将在 2023 年达到 228 亿美元,并从 2024 年的 279.3 亿美元增长到 2032 年的 1416.3 亿美元,预测期内(2025-2032 年)的复合年增长率为 22.5%。
人工智慧 (AI) 在预测维修系统中变得越来越重要,利用CCTV中的电脑视觉和深度学习演算法在消费品和医疗保健等不同领域进行准确的故障检测。影像感测器和智慧相机的整合正在加速这些系统的采用,推动市场扩张和创新。应用范围正在从传统产业扩展到消费无人机、自动驾驶汽车、教育、零售、安全等。脸部辨识和生物识别扫描等技术可确保智慧型手机和安全设施中的资产保护。 TachyHealth 为改善远端医疗建立的伙伴关係等策略合作展示了人工智慧提供者和行业专家之间的协同效应,以提高业务效率。由于道路交通事故持续受到全球关注,人工智慧在自动驾驶中的作用为道路安全,特别是对于弱势道路使用者而言,提供了一个有希望的解决方案。
Artificial Intelligence (AI) in Computer Vision Market size was valued at USD 22.8 billion in 2023 and is poised to grow from USD 27.93 billion in 2024 to USD 141.63 billion by 2032, growing at a CAGR of 22.5% during the forecast period (2025-2032).
Artificial Intelligence (AI) has become crucial in predictive maintenance systems within computer vision, utilizing CCTV and deep learning algorithms for precise fault detection across diverse sectors, including consumer goods and healthcare. The integration of image sensors and smart cameras has catalyzed the adoption of these systems, driving market expansion and innovation. Beyond traditional industries, applications now extend to consumer drones, autonomous vehicles, education, retail, and security. Technologies such as facial recognition and biometric scanning ensure asset protection in smartphones and secure facilities. Strategic collaborations, like TachyHealth's partnership for improved telemedicine, demonstrate the synergy between AI providers and industry experts, enhancing operational efficiency. As traffic accidents remain a global concern, AI's role in autonomous driving offers promising solutions for road safety, particularly for vulnerable users.
Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) In Computer Vision market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Artificial Intelligence (AI) In Computer Vision Market Segments Analysis
Global Artificial Intelligence (AI) in Computer Vision Market is segmented by Machine Learning Models, Offering, Function, Technology, Application, Vertical and region. Based on Machine Learning Models, the market is segmented into Supervised Learning, Unsupervised Learning and Reinforcement Learning. Based on Offering, the market is segmented into Cameras, Frame Grabbers, Optics, Led Lighting, Processors, AI Vision Software and AI Platforms. Based on Function, the market is segmented into Training and Inference. Based on Technology, the market is segmented into Machine Learning and Generative Ai. Based on Application, the market is segmented into Quality Assurance & Inspection, Measurement, Identification, Predictive Maintenance and Positioning & Guidance. Based on Vertical, the market is segmented into Automotive, Consumer Electronics, Healthcare, Retail, Security And Surveillance, Manufacturing, Agriculture, Transportation & Logistics and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Artificial Intelligence (AI) In Computer Vision Market
The Artificial Intelligence (AI) in Computer Vision market is being propelled by significant advancements in AI algorithms, deep learning techniques, and neural networks, which are dramatically enhancing the performance of computer vision systems. These technological breakthroughs facilitate precise and effective image and video analysis, leading to a greater integration of AI-driven solutions in numerous sectors. As a result, businesses are increasingly recognizing the value of AI in computer vision, further fueling its adoption and application across various industries, thereby driving the growth of this dynamic market.
Restraints in the Artificial Intelligence (AI) In Computer Vision Market
The adoption of Artificial Intelligence (AI) in the Computer Vision market faces significant challenges due to the high costs associated with implementation. This financial barrier can particularly impact small and medium-sized enterprises (SMEs), which may struggle to secure the necessary investments in hardware, software, and specialized talent. These substantial expenses can deter organizations from integrating AI technologies into their operations, ultimately restricting the widespread adoption of computer vision solutions. Consequently, the financial burden remains a critical factor that limits the potential growth and utilization of AI in the computer vision sector across various industries.
Market Trends of the Artificial Intelligence (AI) In Computer Vision Market
The Artificial Intelligence (AI) in Computer Vision market is witnessing a significant trend toward the integration of AI with the Internet of Things (IoT), enhancing the synergy between the physical and digital realms. This convergence fosters innovative applications across various sectors, including smart cities, industrial automation, home security, and retail analytics, as intelligent, real-time insights from connected devices become increasingly essential. The market is fueled by the growing demand for data-driven decision-making and automation, spurring companies to leverage AI-enabled computer vision solutions to improve operational efficiency and customer experiences. As a result, this trend is expected to propel substantial growth and transformation in the industry.