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市場調查報告書
商品編碼
1914575
影像識別市場-全球產業規模、佔有率、趨勢、機會及預測(按組件、技術、部署類型、應用、最終用戶、地區和競爭格局分類),2021-2031年Image Recognition Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Technology, By Deployment, By Application, By End User, By Region & Competition, 2021-2031F |
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全球影像識別市場預計將從2025年的386.3億美元成長到2031年的1,266.2億美元,複合年成長率(CAGR)為21.88%。該市場涵蓋利用人工智慧(AI)和機器學習技術來識別、處理和分類數位影像和影片中的視覺內容的技術。主要成長要素包括製造業對自動化品質保證日益成長的需求,以及安全營運中對生物識別的迫切需求。這些功能性需求並非曇花一現的行業潮流,而是反映了其在醫療保健、汽車和零售等行業中持久而重要的效用。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 386.3億美元 |
| 市場規模:2031年 | 1266.2億美元 |
| 複合年成長率:2026-2031年 | 21.88% |
| 成長最快的細分市場 | 數位影像處理 |
| 最大的市場 | 亞太地區 |
然而,經濟波動為市場帶來了許多障礙,可能導致資本密集型創新進程受阻。在金融不穩定時期,工業部門往往會縮減自動化投資,從而限制短期市場成長。例如,德國機械設備製造業聯合會(VDMA)機器視覺報告指出,由於製造業需求下降,預計2024年歐洲機器視覺產業的銷售額將下降10%。這一事實凸顯了宏觀經濟的脆弱性如何成為影像識別解決方案穩步普及的重大障礙。
影像分析技術在醫學診斷中的應用正在透過提高疾病檢測的準確性和最佳化臨床工作流程來變革醫療保健。特別是放射學,正擴大利用人工智慧演算法來解讀複雜的影像數據,並識別肉眼可能遺漏的異常情況。監管數據也支持這一趨勢:2025年4月,監管事務專業人員協會(RAPS)報告稱,截至2024年8月,FDA核准的903種人工智慧醫療設備器材中,放射學應用佔76.6%。如此廣泛的應用凸顯了影像識別在診斷系統中的關鍵作用及其處理日益成長的數位化醫療記錄的能力。
同時,視覺搜尋在零售和電商領域的廣泛應用,正透過實現直覺的影像驅動型產品發現,徹底改變消費者的體驗。這項技術使消費者能夠無縫地從店內產品發現過渡到線上交易,彌合了線上線下環境之間的鴻溝。根據 Imagga 2025 年 11 月的數據,Google鏡頭的使用量將達到每月約 200 億次視覺搜尋,這標誌著搜尋習慣的重大轉變。此外,整體自動化基礎設施也不斷擴展。自動化促進協會 (AAA) 在 2025 年 2 月宣布,2024 年食品和消費品行業的機器人訂單成長了 65%,凸顯了物流和品管領域對視覺引導系統的巨大需求。
經濟波動是全球影像識別市場發展的主要障礙。資本密集的升級改造往往會延緩產業全面採用所需的投資。由於影像識別系統屬於昂貴的基礎設施投資,在經濟情勢不明朗時期,企業往往優先考慮流動性而非技術發展。這種財務謹慎態度導致自動化計劃被推遲或取消,直接減緩了汽車和重工業等關鍵產業對視覺檢測和識別硬體的採用。
這種猶豫不決的後果體現在主要工業地區的採購量下降,預算凍結阻礙了新型視覺引導機器人的整合。根據自動化促進協會 (AAA) 的數據,2024 年上半年,北美汽車零件產業(機器視覺技術的主要用戶)的機器人訂單減了約 39%。如此顯著的下降表明,宏觀經濟的敏感性導致工業相關人員推遲現代化改造計劃,從而直接導致影像識別供應商的收入成長放緩。
多模態人工智慧和大規模視覺模型的興起正在重塑市場的技術範式,使其擺脫單一任務演算法的局限,轉向能夠處理文字和圖像資料的通用基礎模型。這項進步使得企業能夠部署更靈活的感知系統,減少針對特定任務的調整,從而加速其在複雜、非結構化環境中的應用,而傳統電腦視覺在這些環境中往往面臨挑戰。這種技術重點的轉變也體現在技能發展上。 O'Reilly Media 於 2025 年 1 月發布的《2025 年技術趨勢》報告指出,對生成式人工智慧培訓內容的需求年增了 289%,凸顯了向這些先進能力的顯著轉變。
同時,在模型訓練中使用合成資料正在解決資料稀缺的難題,無需高成本人工標註成本即可實現高效能識別。透過使用電腦生成的影像模擬罕見或危險場景,開發人員可以使用數量少得多的真實世界資料來訓練可靠的模型,從而有效地將效能與物理資料的可用性解耦。這種效率正在改變開發平臺。根據 Roboflow 於 2025 年 3 月發布的《2025 年視覺 AI 趨勢報告》,43% 的企業模型使用少於 1000 張圖像的資料集進行訓練,這表明該行業正在減少對海量真實世界資料收集的依賴。
The Global Image Recognition Market is projected to expand from USD 38.63 Billion in 2025 to USD 126.62 Billion by 2031, reflecting a CAGR of 21.88%. This market consists of technologies that leverage artificial intelligence and machine learning to identify, process, and classify visual content from digital images and videos. Key growth drivers include the rising necessity for automated quality assurance in manufacturing and the essential demand for biometric authentication in security operations. These functional needs represent a sustainable baseline of utility across the healthcare, automotive, and retail sectors, distinct from temporary industry fads.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 38.63 Billion |
| Market Size 2031 | USD 126.62 Billion |
| CAGR 2026-2031 | 21.88% |
| Fastest Growing Segment | Digital Image Processing |
| Largest Market | Asia Pacific |
However, the market confronts substantial hurdles stemming from economic volatility, which can postpone capital-heavy technology improvements. During periods of financial uncertainty, industrial sectors frequently curtail investments in automation, thereby limiting short-term market growth. For instance, VDMA Machine Vision reported that the European machine vision industry was expected to see a 10 percent decline in sales in 2024, attributed to lower demand from the manufacturing sector. This evidence underscores how macroeconomic sensitivity acts as a significant barrier to the steady implementation of image recognition solutions.
Market Driver
The application of image analysis in medical diagnostics is transforming healthcare by improving the accuracy of disease detection and optimizing clinical workflows. AI-powered algorithms are increasingly utilized to decode complex imaging data, especially within radiology, helping to spot anomalies that might be missed by human review. This integration is supported by regulatory data; the Regulatory Affairs Professionals Society reported in April 2025 that radiology applications made up 76.6% of the 903 FDA-cleared AI-enabled medical devices through August 2024. Such significant adoption highlights the essential role of image recognition in diagnostic systems and its ability to handle the growing volume of digital medical records.
concurrently, the adoption of visual search in retail and e-commerce is revolutionizing consumer interaction by facilitating intuitive, image-driven product discovery. This technology enables a seamless transition for shoppers from physical inspiration to digital transactions, bridging offline and online environments. According to Imagga in November 2025, Google Lens usage hit roughly 20 billion monthly visual searches, signaling a major change in search habits. Additionally, the broader automation infrastructure is expanding; the Association for Advancing Automation noted in February 2025 that robot orders in the food and consumer goods sector rose by 65% in 2024, indicating strong demand for vision-guided systems in logistics and quality control.
Market Challenge
Economic volatility serves as a major obstacle for the Global Image Recognition Market, frequently delaying the capital-intensive upgrades required for broad industry adoption. Since image recognition systems represent high-value infrastructure investments, corporations often prioritize liquidity over technological growth during times of financial instability. This fiscal caution leads to the postponement or cancellation of automation projects, directly stalling the deployment of visual inspection and recognition hardware in essential sectors such as automotive and heavy manufacturing.
The consequences of this hesitation are visible in reduced procurement figures from key industrial centers, where budget freezes impede the integration of new vision-guided robotics. Data from the Association for Advancing Automation reveals that in the first half of 2024, North American robot orders from the automotive component sector-a major user of machine vision technology-dropped by approximately 39 percent year-over-year. Such significant declines illustrate how macroeconomic sensitivity forces industrial players to defer modernization efforts, resulting in an immediate deceleration of revenue streams for image recognition vendors.
Market Trends
The rise of Multimodal AI and Large Vision Models is reshaping the market's technical framework, moving away from single-task algorithms toward versatile foundation models that can process both text and image data. This advancement enables organizations to deploy more flexible recognition systems that require less task-specific tuning, accelerating adoption in complex, unstructured environments where traditional computer vision struggled. This shift in technical focus is reflected in skill development; O'Reilly Media's 'Technology Trends for 2025' report from January 2025 noted a 289% year-over-year increase in demand for generative AI training content, highlighting a significant pivot toward these advanced capabilities.
Simultaneously, the use of Synthetic Data for Model Training is solving the challenge of data scarcity, allowing for high-performance recognition without the high costs of manual annotation. By using computer-generated imagery to simulate rare or dangerous scenarios, developers can train reliable models using much smaller volumes of real-world data, effectively decoupling performance from physical data availability. This efficiency is transforming development pipelines; Roboflow's '2025 Visual AI Trends Report' from March 2025 indicated that 43% of enterprise models were trained on datasets with fewer than 1,000 images, demonstrating the industry's decreasing reliance on massive real-world data collection.
Report Scope
In this report, the Global Image Recognition Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Image Recognition Market.
Global Image Recognition Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: