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市场调查报告书
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1896013
电脑视觉人工智慧 (AI) 市场规模、份额和成长分析(按机器学习模型、产品、功能、技术、应用、垂直产业和地区划分)—产业预测 (2026-2033)Artificial Intelligence (AI) 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 2026-2033 |
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预计到 2024 年,电脑视觉领域的人工智慧 (AI) 市场规模将达到 279.3 亿美元,到 2025 年将成长至 342.1 亿美元,到 2033 年将成长至 1735 亿美元,在预测期(2026-2033 年)内复合年增长率为 22.5%。
人工智慧 (AI) 已成为电脑视觉的核心要素,尤其是在利用深度学习演算法驱动先进的CCTV系统和预测性维护系统方面,能够在各种应用中实现精准的故障识别。影像感测器和智慧摄影机的广泛应用推动了人工智慧在消费品、医疗保健和製造业等多个行业的重要性。电脑视觉技术的兴起正在重塑教育、机器人、零售和安防等行业,在这些行业中,即时视觉数据处理发挥关键作用。脸部辨识和生物识别扫描等创新技术对于资产保护和身分验证至关重要,并已广泛应用于智慧型手机和高安全环境中。此外,策略合作伙伴关係正在推动人工智慧与电脑视觉的整合,以提高效率并应对关键的安全挑战,尤其是在自动驾驶领域。
电脑视觉领域的人工智慧 (AI) 市场驱动因素
人工智慧演算法的持续进步,尤其是在深度学习和神经网路领域,显着提升了电脑视觉系统的效能。这些进步使得影像和影片的处理更加精准高效,从而促进了人工智慧在众多行业电脑视觉应用中的广泛应用。随着各行业逐渐意识到这些技术在提升营运效率和决策流程的巨大潜力,对先进电脑视觉解决方案的需求持续增长,进一步加速了人工智慧在该领域的市场发展。
电脑视觉领域人工智慧(AI)市场面临的限制因素
将人工智慧应用于电脑视觉系统通常会产生高昂的成本,这构成了一项重大障碍,尤其对于中小企业而言。购置必要的硬体、软体和专业人员所带来的经济负担可能会阻碍企业采用这些先进技术。因此,高成本可能会限制人工智慧在各行业电脑视觉应用中的普及和集成,最终影响整体市场成长和创新。在考虑用于电脑视觉的人工智慧解决方案时,此经济负担是相关人员应重点考虑的因素。
电脑视觉领域人工智慧(AI)市场趋势
人工智慧驱动的电脑视觉与物联网 (IoT) 的融合是关键的市场趋势,它透过智慧视觉识别和分析增强了互联设备的功能。这种协同效应正在推动智慧城市、工业自动化、家庭安防和零售分析等众多领域的创新应用,产生即时洞察,从而提高营运效率和用户体验。随着企业利用这种整合来获取可执行数据并改善决策,这正在推动对人工智慧技术的进一步投资,并扩大电脑视觉应用这一不断发展领域的成长机会。
Artificial Intelligence (AI) in Computer Vision Market size was valued at USD 27.93 Billion in 2024 and is poised to grow from USD 34.21 Billion in 2025 to USD 173.5 Billion by 2033, growing at a CAGR of 22.5% during the forecast period (2026-2033).
Artificial Intelligence (AI) has become a pivotal component in computer vision, particularly enhancing predictive maintenance systems through advanced CCTV and deep learning algorithms for precise fault identification across various applications. Its significance spans multiple industries, including consumer goods, healthcare, and manufacturing, driven by the proliferation of image sensors and smart cameras. The rise of computer vision technologies is reshaping sectors such as education, robotics, retail, and security, where real-time visual data processing plays a crucial role. Innovations like facial recognition and biometric scanning are essential for asset and identity protection, commonly utilized in smartphones and high-security environments. Additionally, strategic partnerships are fostering the integration of AI in computer vision, aiming to improve efficiencies and address critical safety concerns, particularly in autonomous driving.
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 continuous evolution of artificial intelligence algorithms, particularly in the realms of deep learning and neural networks, is significantly enhancing the performance of computer vision systems. These advancements allow for precise and efficient processing of images and videos, fueling the widespread integration of AI in computer vision applications across numerous sectors. As industries recognize the potential of these technologies to improve operational efficiency and decision-making processes, the demand for sophisticated computer vision solutions continues to rise, further accelerating the growth of the AI market within this domain.
Restraints in the Artificial Intelligence (AI) in Computer Vision Market
The implementation of artificial intelligence in computer vision systems often incurs significant expenses, presenting a substantial obstacle, particularly for small and medium-sized enterprises. The financial burden associated with acquiring the necessary hardware, software, and specialized personnel can deter organizations from adopting these advanced technologies. As a result, the high costs may limit accessibility and slow the integration of AI into computer vision applications across various sectors, ultimately impacting the overall growth and innovation within the market. This financial strain is a critical factor that stakeholders need to consider when exploring AI solutions for computer vision.
Market Trends of the Artificial Intelligence (AI) in Computer Vision Market
The convergence of AI-driven computer vision with the Internet of Things (IoT) stands as a significant market trend, enhancing the capabilities of connected devices through intelligent visual recognition and analysis. This synergy fosters innovative applications across various sectors, including smart cities, industrial automation, home security, and retail analytics, thereby generating real-time insights that improve operational efficiency and user experience. As businesses seek to leverage this integration for actionable data and improved decision-making, it is catalyzing further investment in AI technologies and expanding the opportunities for growth within the ever-evolving landscape of computer vision applications.