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市場調查報告書
商品編碼
1499604
影像識別市場:按組件、技術、部署模式、應用分類 - 2024-2030 年全球預測Image Recognition Market by Component (Hardware, Services, Software), Technology (Barcode/QR Code Recognition, Digital Image Processing, Facial Recognition), Deployment Mode, Application - Global Forecast 2024-2030 |
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預計2023年影像識別市場規模為347.2億美元,2024年將達399.1億美元,2030年將達到946.9億美元,複合年成長率為15.41%。
影像識別是一種允許電腦和其他數位設備識別影像中的物體、人物、地點和其他元素的技術。這個過程分析圖像的視覺內容並將其分配給一個或多個類別和標籤。影像識別是電腦視覺的一個子集,旨在使機器能夠以模仿人類視覺的方式理解和解釋視覺訊息。具有先進影像處理功能的智慧型手機的普及使得將影像識別整合到消費性應用中變得更加容易。此外,影像識別技術擴大部署在安全系統中進行生物識別,從而增強公共和私人安全基礎設施。然而,使用影像識別進行監視和資料收集會引起嚴重的隱私問題並導致監管挑戰。開發、客製化和維護先進的影像識別系統需要大量投資,這對於中小型企業 (SME) 來說可能難以承受。此外,人工智慧和深度學習演算法的不斷研究和創新,顯著提高了影像識別系統的準確性。
主要市場統計 | |
---|---|
基準年[2023] | 347.2億美元 |
預測年份 [2024] | 399.1億美元 |
預測年份 [2030] | 946.9億美元 |
複合年成長率(%) | 15.41% |
區域洞察
美洲,特別是美國和加拿大,因其在技術進步和支持創新的強大生態系統方面的先鋒作用而受到認可。美國是技術創新中心,也是一些全球最大公司的所在地,這些公司在安全、醫療保健和社交媒體等多個行業中引領影像識別技術的開發和應用。歐盟 (EU) 國家正積極努力平衡技術進步與隱私議題,GDPR 就是一個例子。這裡的重點是人工智慧在公共服務、醫療保健和零售領域中應用的道德使用。中東,特別是阿拉伯聯合大公國和沙烏地阿拉伯,正在投資智慧城市計劃和監控技術,整合影像識別以提高安全和城市生活水準。包括中國、日本和印度等充滿活力的經濟體在內的亞太地區正在見證影像識別技術的快速採用。在龐大的人口基礎、蓬勃發展的電子商務產業以及積極的政府技術舉措的推動下,這些國家處於創新和應用的前沿。中國在人工智慧和機器學習領域的大規模投資處於領先地位,其中影像識別是一個關鍵的重點領域。由於重點關注監控和公共,該國已大規模採用臉部辨識技術。日本對消費者便利性和自動化技術表現出濃厚的興趣,將影像識別應用於零售、汽車和醫療保健。印度已成為科技Start-Ups的溫床,許多企業都在探索影像識別在金融、零售和農業領域的應用。
FPNV定位矩陣
FPNV 定位矩陣對於評估供應商在影像識別市場的定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與業務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可對影像識別市場中供應商的現狀進行深入而詳細的評估。透過仔細比較和分析供應商的貢獻,您可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該行業競爭性質的寶貴見解,包括在研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在影像識別市場中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[198 Pages Report] The Image Recognition Market size was estimated at USD 34.72 billion in 2023 and expected to reach USD 39.91 billion in 2024, at a CAGR 15.41% to reach USD 94.69 billion by 2030.
Image recognition is a technology that permits computers and other digital devices to identify objects, people, places, and other elements within images. This process involves analyzing the visual content of an image and assigning it to one or more categories and labels. Image recognition, a subset of computer vision, is a field that aims to give machines the ability to understand and interpret visual information in a way that mimics human vision. The widespread use of smartphones equipped with advanced imaging capabilities has facilitated the integration of image recognition in consumer applications. Moreover, image recognition technology is increasingly being deployed in security systems for biometric identification, enhancing both public and private security infrastructures. However, the use of image recognition in surveillance and data collection raises significant privacy issues, leading to regulatory challenges. Developing, customizing, and maintaining advanced image recognition systems require substantial investment, which may be prohibitive for small and medium enterprises (SMEs). Furthermore, continuous research and innovations in AI and deep learning algorithms have substantially improved the accuracy of image recognition systems.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 34.72 billion |
Estimated Year [2024] | USD 39.91 billion |
Forecast Year [2030] | USD 94.69 billion |
CAGR (%) | 15.41% |
Regional Insights
The Americas, particularly the United States and Canada, are recognized for their pioneering role in technological advancement and a robust ecosystem supporting innovation. The United States is at the heart of technological innovation, home to global giants leading the development and application of image recognition technologies across various industries, including security, healthcare, and social media. European Union countries are proactively addressing the balance between technological advancement and privacy concerns, exemplified by GDPR. The focus here is on ethical AI use, with applications in public services, healthcare, and retail sectors. The Middle East, particularly the UAE and Saudi Arabia, is investing in smart city projects and surveillance technologies, integrating image recognition to enhance security and urban living standards. The Asia Pacific region, encompassing dynamic economies such as China, Japan, and India, is witnessing a surge in the adoption of image recognition technologies. Driven by a vast population base, a burgeoning e-commerce sector, and substantial government initiatives in technology, these nations are at the forefront of innovation and application. China is leading with significant investments in AI and machine learning, with image recognition being a pivotal focus area. The country's emphasis on surveillance and public security has directed the adoption of facial recognition technologies on a vast scale. Japan showcases a strong inclination towards consumer convenience and automation technologies, applying image recognition in retail, automotive, and healthcare. India is emerging as a hotbed for technological startups, with numerous ventures exploring image recognition applications in the financial services, retail, and agricultural sectors.
Market Insights
The market dynamics represent an ever-changing landscape of the Image Recognition Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Image Recognition Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Image Recognition Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Kayak Innovates with AI-Driven Tools to Enhance Travel Experience
Kayak has unveiled a suite of tools empowered by artificial intelligence (AI) with image recognition capability aimed at significantly enhancing the travel planning and booking process for its users. From offering real-time travel advice based on evolving global situations to providing personalized hotel recommendations and streamlined flight search capabilities, Kayak's new tools leverage AI to anticipate and meet the unique needs of each traveler. [Published On: 2024-03-05]
Panasonic's Advancements in Image Recognition Technology
Panasonic has introduced its image recognition technology to enhance performance in identifying and processing images with remarkable speed and accuracy. Deploying cutting-edge technologies, the company aims to revolutionize various applications across multiple industries, including security, automotive, and consumer electronics, by offering more reliable and efficient image recognition capabilities. [Published On: 2023-12-25]
Klarna Introduces Innovative AI-Powered Shopping Assistant
Klarna has launched its AI-powered image recognition feature to enhance the online shopping experience. This cutting-edge technology allows users to upload photos to find and purchase identical or similar items instantly within Klarna's extensive network of retail partners. Designed to streamline the shopping process and offer a more personalized user experience, this tool leverages advanced algorithms to analyze images and match them with products from thousands of brands. [Published On: 2023-10-11]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Image Recognition Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Image Recognition Market, highlighting leading vendors and their innovative profiles. These include Amazon.com, Inc., Argis Solutions, Inc., Attrasoft, Inc., Blippar Group Limited, Clarifai Inc., Docugami, Inc., EyeEm Vision, Fujitsu Limited, Google LLC, Honeywell International Inc., Huawei Technologies Co., Ltd., International Business Machines Corporation, Lily AI, Microsoft Corporation, Motorola Solutions, Inc., NEC Corporation, Oracle Corporation, Panasonic Holdings Corporation, ParallelDots, Qualcomm Technologies, Inc., Samsung Electronics Co., Ltd., SAP SE, Sony Corporation, Toshiba Corporation, and Vispera Information Technologies.
Market Segmentation & Coverage
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