![]() |
市場調查報告書
商品編碼
1687593
電腦視覺人工智慧市場規模、佔有率及成長分析(機器學習模型、功能、技術、應用、最終用途及地區)-2025-2032 年產業預測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 |
預計電腦視覺中的人工智慧 (AI) 市場規模將在 2023 年達到 228 億美元,並從 2024 年的 279.3 億美元成長到 2032 年的 1416.3 億美元,預測期內(2025-2032 年)的複合年成長率為 22.5%。
人工智慧 (AI) 在預測維修系統中變得越來越重要,利用CCTV中的電腦視覺和深度學習演算法在消費品和醫療保健等不同領域進行準確的故障檢測。影像感測器和智慧相機的整合正在加速這些系統的採用,推動市場擴張和創新。應用範圍正在從傳統產業擴展到消費無人機、自動駕駛汽車、教育、零售、安全等。臉部辨識和生物識別掃描等技術可確保智慧型手機和安全設施中的資產保護。 TachyHealth 為改善遠端醫療建立的夥伴關係等策略合作展示了人工智慧提供者和行業專家之間的協同效應,以提高業務效率。由於道路交通事故持續受到全球關注,人工智慧在自動駕駛中的作用為道路安全,特別是對於弱勢道路使用者而言,提供了一個有希望的解決方案。
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.