市場調查報告書
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電腦視覺領域的人工智慧 (AI) 市場 - 2024 年至 2029 年預測Artificial Intelligence (AI) in Computer Vision Market - Forecasts from 2024 to 2029 |
電腦視覺領域的人工智慧(AI)市場預計將以25.53%的複合年成長率擴張,到2029年市場規模將達到550.81億美元,而2024年的初始值為176.69億美元。
電腦視覺中的人工智慧(AI) 是人工智慧(AI) 的一個子類別,它利用人工智慧技術、深度機器學習和複雜的互連神經網路來處理數位視覺輸入並獲得重要的見解或實現所需的結果。在人工智慧輔助電腦視覺系統中,視覺輸入透過感測設備進行掃描,並在經過推理設備後產生輸出。
電腦視覺中的人工智慧 (AI) 可以執行多種屬性,例如臉部辨識、影像偵測、運動物體偵測、影像分組、物體分割、基於過去趨勢的未來預測以及觀察運動目標。電腦視覺中人工智慧 (AI) 的便利性和多功能性導致其在多個領域得到應用,包括醫療保健、農業、交通、金融、網路安全和零售。因此,考慮到人工智慧(AI)在電腦視覺領域的發展潛力以及在各個領域擴展其應用的潛力,預計該市場將在預測期內快速擴張。
電腦視覺人工智慧(AI)領域的發展將有助於改進創新農業技術軟體,以支援和提高農業部門的整體生產力。農業公司正在電腦視覺中採用人工智慧 (AI) 技術來預測天氣模式和作物水平並檢測農業問題。可以存取無人機和衛星的數位輸入來分析天氣模式並預測颶風等自然災害的發生。
此外,電腦視覺中的人工智慧 (AI) 可以透過檢測有害雜草和作物健康問題來幫助提高作物產量和生產力。該應用程式可以進一步分析新混合作物的顏色、質地和品質,並檢查它們與土壤的相容性。例如,笛卡爾實驗室和藍河科技等公司正在積極為農業相關企業提供電腦視覺領域的人工智慧(AI)服務,並投資擴大其在該領域的產品系列。
北美地區不斷推出旨在為客戶提供人工智慧電腦視覺服務的人工智慧新興企業,展現了市場潛力。例如,紐約的Ocrolus公司採用人工智慧電腦視覺技術和機器學習,為客戶提供金融資料分析和諮詢服務。另一家人工智慧Start-UpsOrbital Insights 也正在利用這項技術為能源和農業提供投入,利用衛星影像和其他來源提出建議。
此外,Google、微軟、IBM等科技巨頭正積極投資新型人工智慧軟體的開發,包括電腦視覺人工智慧。在美國和加拿大等北美國家,電腦視覺人工智慧在農業、製造、汽車和資訊科技等各個領域的採用正在增加。因此,在預測期內,北美電腦視覺領域的人工智慧(AI)市場規模將會增加。
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The AI in computer vision market is anticipated to expand at a CAGR of 25.53% to reach a market size of US$55.081 billion in 2029 from an initial value of US$17.669 billion in 2024.
Computer vision AI is a subcategory of artificial intelligence (AI) that utilizes AI technology, deep machine learning, and complex interconnected neural networks to process digital visual input to obtain crucial insights or to achieve a targeted result. In an AI-assisted computer vision system, visual input is scanned through a sensing device to produce an output after passing it through an inferring device.
AI in computer vision can perform numerous attributes such as face recognition, image detection, moving object detection, grouping of images, object segmentation, future prediction based on past trends, and observation of moving targets. The convenience and versatility of computer vision in AI result in its application in different sectors, such as healthcare, agriculture, transportation, finance, cybersecurity, and retail. Hence, after considering the potential of AI in computer vision to evolve and increase its applications in different sectors, it can be anticipated that this market will experience a rapid expansion in the forecast period.
The developments in the computer vision AI field help improve the agricultural technology software innovated to assist and enhance the overall productivity of the agricultural sector. Agricultural enterprises employ computer vision AI technology to predict weather patterns and harvest levels and detect agricultural concerns. Digital inputs from drones and satellites can be accessed to analyze weather patterns and predict the occurrence of natural calamities like hurricanes.
In addition, computer vision AI can assist in improving crop yield and productivity by detecting harmful weeds or issues with crop health. Its applications can further analyze new hybrid crops' color, texture, and quality to check their compatibility with the soil. For instance, companies like Descartes Labs and Blue River Technology are actively providing computer vision AI services to agricultural companies and investing in expanding their product portfolio in this field.
The rise in the launch of AI startup companies in North America targeting to provide AI computer vision services to its clients demonstrates its market potential. For instance, Ocrolus Company in New York adopts AI computer vision technology and machine learning to offer financial data analysis and consultancy services to its customers. Another AI startup, Orbital Insight, also uses this technology for input into energy and farming by leveraging satellite images and other sources to make recommendations.
In addition, giant technology companies like Google, Microsoft, and IBM are actively investing in developing new AI software, including computer vision AI. There is a rise in the adoption of computer vision AI across various sectors such as agriculture, manufacturing, automotive, and information technology in North American countries like the USA and Canada. This will result in an increase in the market size of North American computer vision AI over the forecast period.
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