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市場調査レポート
商品コード
1687593
コンピュータビジョンにおける人工知能市場規模、シェア、成長分析:機械学習モデル別、機能別、技術別、アプリケーション別、最終用途別、地域別 - 産業予測 2025~2032年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 |
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コンピュータビジョンにおける人工知能市場規模、シェア、成長分析:機械学習モデル別、機能別、技術別、アプリケーション別、最終用途別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年03月19日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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コンピュータビジョンにおける人工知能(AI)市場規模は、2023年に228億米ドルと評価され、予測期間(2025-2032年)にCAGR 22.5%で成長し、2024年の279億3,000万米ドルから2032年には1,416億3,000万米ドルに成長する見通しです。
人工知能(AI)は、消費財やヘルスケアなど多様な分野で正確な故障検出のためにCCTVやディープラーニング・アルゴリズムを活用するコンピュータビジョンの中の予知保全システムにおいて極めて重要になっています。画像センサーとスマートカメラの統合がこれらのシステムの採用を促進し、市場の拡大とイノベーションを促進しています。従来の産業だけでなく、消費者向けドローン、自律走行車、教育、小売、セキュリティなどにも応用が広がっています。顔認識や生体認証スキャンなどの技術は、スマートフォンや安全な施設での資産保護を確実にします。遠隔医療の向上を目指すTachyHealthのパートナーシップのような戦略的コラボレーションは、AIプロバイダーと業界専門家の相乗効果を実証し、業務効率を向上させる。交通事故が世界の懸念であり続けるなか、自律走行におけるAIの役割は、交通安全、特に交通弱者のための有望な解決策を提供します。
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.