市場調查報告書
商品編碼
1427172
電腦視覺領域人工智慧的全球市場規模、佔有率和成長分析(按類型和組成部分)—2023-2030 年產業預測Global AI in Computer Vision Market Size, Share, Growth Analysis, By Type(PC-based and Smart Camera-based), By Component(Hardware and software) - Industry Forecast 2023-2030 |
預計到2022年,電腦視覺領域人工智慧的全球市場規模將達到120.3億美元,從2023年的128.8億美元成長到2031年的128.8億美元,預測期內(2024-2031年)複合年成長率為7.1%。成長至223億美元。
由於影像感測器、先進相機和深度學習技術的廣泛應用和進步,電腦視覺技術領域的人工智慧 (AI) 全球市場在各個行業都出現了顯著成長。這項技術在教育、醫療保健、機器人、消費性電子、零售、製造和安全/監控等領域得到了廣泛認可。一個著名的例子是總部位於杜拜的 TachyHealth 和 Medical Refill,它們於 2022 年 8 月合作,利用電腦視覺、人工智慧和巨量資料分析來改善醫療服務。兩家公司之間的合作重點是將複雜的測試結果轉換為對患者更具互動性和吸引力的文字格式。電腦視覺系統透過整合生物辨識掃描和臉部辨識系統,有效地促進安全措施。臉部認證廣泛用於智慧型手機安全,使用電腦視覺來分析人類視網膜和虹膜的特徵模式。它擴大應用於商業和住宅安全系統中進行身份驗證。另一個例子是指紋分析,它控制對銀行金庫房和實驗室等高度安全位置的存取。 IDEMIA是一家專注於臉部辨識和電腦視覺軟體的跨國科技公司,已與美國國防安全保障部合作,使用臉部辨識工具識別犯罪嫌疑人,識別機場和檢查站的旅客,我們正在努力加強公共活動,包括簡化美國的安全工作。
本研究報告採用自上而下和自下而上的方法來預測和檢驗電腦視覺人工智慧的全球市場規模,並預測其他各個相關子市場的市場規模。用於估計市場規模的調查方法包括以下詳細資訊:用於確定市場主要企業的二次研究,以及用於確定每個地區的市場佔有率的主要和二次研究。整個過程包括研究主要企業的年度和財務報告以及廣泛的採訪,以獲得執行長、副總裁、董事和行銷負責人等行業領導者的重要見解。所有股份比率和細分均使用二手資訊確定並使用主要資訊檢驗。本研究涵蓋的所有可能影響市場的參數都經過廣泛而詳細的考慮,透過初步研究檢驗並進行分析,以獲得最終的定量和定性資料。
電腦視覺AI全球細分市場分析
電腦視覺人工智慧的全球市場按類型、組件和地區進行細分。依類型分為基於PC的電腦視覺系統和基於智慧相機的系統。根據組件,市場分為硬體和軟體。依地區分類,分為北美、歐洲、亞太地區、中東/非洲、拉丁美洲。
全球人工智慧電腦視覺市場的促進因素
推動人工智慧在電腦視覺市場擴張的主要因素是各行業對自動化和效率提高的需求不斷增加。組織正在轉向電腦視覺解決方案來自動化任務、簡化業務並提高生產力。人工智慧驅動的電腦視覺系統能夠即時分析大量視覺資料、識別模式並做出更好的決策,正在再形成、醫療保健、零售、安全等行業。對自動化和簡化操作不斷成長的需求是電腦視覺技術中採用人工智慧的主要驅動力。
電腦視覺領域人工智慧全球市場的限制因素
電腦視覺領域人工智慧市場的一個關鍵挑戰是資料隱私和安全問題。電腦視覺系統利用廣泛的資料,包括視覺內容和個人資訊,使它們越來越容易受到資料外洩和詐欺的存取的影響。保護敏感資料的隱私和安全具有挑戰性,尤其是在醫療保健和金融等行業。嚴格的法規和對強力的安全措施的要求是人工智慧在電腦視覺領域廣泛採用的障礙,組織必須有效解決這些隱私和安全問題。
電腦視覺領域人工智慧的全球市場趨勢
電腦視覺領域人工智慧市場的一個關鍵趨勢是邊緣運算的使用不斷增加,它可以實現視覺資料的即時處理和解釋。邊緣運算有利於靠近資料來源的資料處理和分析,從而最大限度地減少延遲並縮短回應時間。這一趨勢源於在連接有限的區域以及即時決策至關重要的場景中對快速有效的電腦視覺應用的需求。透過採用邊緣運算,企業可以加速洞察、改善隱私、減少對雲端基礎設施的依賴並提高整體系統效能。
Global AI in computer vision Market size was valued at USD 12.03 Billion in 2022 and is poised to grow from USD 12.88 Billion in 2023 to USD 22.30 Billion by 2031, at a CAGR of 7.1% during the forecast period (2024-2031).
The global market for Artificial Intelligence (AI) in computer vision technology is experiencing substantial growth across diverse industries due to its broad applications and advancements in image sensors, advanced cameras, and deep learning methods. This technology finds significant acceptance in sectors such as education, healthcare, robotics, consumer electronics, retail, manufacturing, and security & surveillance. A notable example is the partnership between TachyHealth, Inc., based in Dubai, and Medical Refill in August 2022, aiming to enhance medical services using computer vision, artificial intelligence, and big data analytics. Their collaboration focuses on converting complex laboratory results into a more interactive and patient-engaging text format. Computer vision systems contribute effectively to security measures by integrating biometric scanning and facial recognition systems. Facial recognition, widely employed in smartphone security, utilizes computer vision to analyze distinctive patterns in human retinas and irises. It's increasingly applied in business and residential security systems for identity verification. Another example is fingerprint analysis, controlling access to highly secure areas like bank vaults and research labs. IDEMIA, a multinational technology company specializing in facial recognition and computer vision software, partnered with the U.S. Department of Homeland Security to enhance public security activities, including criminal suspect identification, airport traveller verification, and streamlining security at checkpoints through facial recognition tools.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global 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 analysed to get the final quantitative and qualitative data.
Global AI in computer vision Market Segmental Analysis
Global AI in computer vision Market is segmented by type, component, and region. Based on type, the market can be segmented into PC-based computer vision systems, and smart camera-based. Based on component, the market is segmented into hardware, and software. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global AI in computer vision Market
A major factor driving the expansion of the AI in computer vision market is the rising requirement for automation and improved efficiency across diverse industries. Organizations are turning to computer vision solutions to automate tasks, streamline operations, and boost productivity. The capability of AI-driven computer vision systems to analyse extensive visual data in real-time, identify patterns, and render precise decisions is reshaping industries like manufacturing, healthcare, retail, and security. This increasing demand for automation and operational streamlining serves as a primary catalyst for the adoption of AI in computer vision technology.
Restraints in the Global AI in computer vision Market
A significant challenge in the AI in computer vision market is the apprehension regarding data privacy and security. Given that computer vision systems utilize extensive data, encompassing visual content and personal details, there's heightened vulnerability to data breaches and unauthorized entry. Safeguarding the privacy and security of sensitive data becomes particularly daunting, notably in industries like healthcare and finance. The demand for stringent regulations and robust security measures acts as a barrier to the extensive adoption of AI in computer vision, as organizations must effectively address these privacy and security apprehensions.
Market Trends of the Global AI in computer vision Market
A significant trend in the AI in computer vision market involves the growing utilization of edge computing to enable real-time processing and interpretation of visual data. Edge computing facilitates data processing and analysis closer to the data source, thereby minimizing latency and enhancing response times. This trend stems from the necessity for swift and effective computer vision applications in regions with restricted connectivity or scenarios where instantaneous decision-making is imperative. Through the adoption of edge computing, organizations can attain accelerated insights, heightened privacy, and diminished reliance on cloud infrastructure, resulting in enhanced overall system performance.