컴퓨터 비전용 인공지능(AI) 시장 규모는 2023년에 228억 달러로 평가되며, 예측 기간(2025-2032년)에 CAGR 22.5%로 성장하며, 2024년 279억 3,000만 달러에서 2032년에는 1,416억 3,000만 달러로 성장할 전망입니다.
인공지능(AI)은 소비재, 헬스케어 등 다양한 분야에서 정확한 고장 감지를 위해 CCTV와 딥러닝 알고리즘을 활용하는 컴퓨터 비전내 예지보전 시스템에서 매우 중요한 역할을 하고 있습니다. 이미지 센서와 스마트 카메라의 통합은 이러한 시스템의 채택을 촉진하고 시장 확대와 혁신을 촉진하고 있습니다. 기존 산업뿐만 아니라 소비자용 드론, 자율주행차, 교육, 소매, 보안 등에도 적용이 확대되고 있습니다. 얼굴 인식과 생체인식 스캔과 같은 기술은 스마트폰과 안전한 시설에서 자산 보호를 보장합니다. 원격의료 개선을 위한 TachyHealth의 파트너십과 같은 전략적 협업은 AI 프로바이더와 업계 전문가의 시너지 효과를 입증하고 업무 효율성을 향상시킬 수 있습니다. 교통사고가 전 세계에서 계속 우려되는 가운데, 자율주행에서 AI의 역할은 교통안전, 특히 교통 약자를 위한 유망한 해결책을 제공합니다.
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.