市场调查报告书
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1499604
影像识别市场:按组件、技术、部署模式、应用划分 - 2024-2030 年全球预测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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预计2023年影像识别市场规模为347.2亿美元,2024年将达399.1亿美元,2030年将达到946.9亿美元,复合年增长率为15.41%。
影像识别是一种允许电脑和其他数位设备识别影像中的物体、人物、地点和其他元素的技术。这个过程分析图像的视觉内容并将其分配给一个或多个类别和标籤。影像识别是电脑视觉的一个子集,旨在使机器能够以模仿人类视觉的方式理解和解释视觉讯息。具有先进影像处理功能的智慧型手机的普及使得将影像识别整合到消费性应用中变得更加容易。此外,影像识别技术越来越多地部署在安全系统中进行生物识别,从而增强公共和私人安全基础设施。然而,使用影像识别进行监视和资料收集会引起严重的隐私问题并导致监管挑战。开发、客製化和维护先进的影像识别系统需要大量投资,这对于中小型企业 (SME) 来说可能难以承受。此外,人工智慧和深度学习演算法的不断研究和创新,显着提高了影像识别系统的准确性。
主要市场统计 | |
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基准年[2023] | 347.2亿美元 |
预测年份 [2024] | 399.1亿美元 |
预测年份 [2030] | 946.9亿美元 |
复合年增长率(%) | 15.41% |
区域洞察
美洲,特别是美国和加拿大,因其在技术进步和支持创新的强大生态系统方面的先锋作用而受到认可。美国是技术创新中心,也是一些全球最大公司的所在地,这些公司在安全、医疗保健和社交媒体等多个行业中引领影像识别技术的开发和应用。欧盟 (EU) 国家正积极努力平衡技术进步与隐私议题,GDPR 就是一个例子。这里的重点是人工智慧在公共服务、医疗保健和零售领域中应用的道德使用。中东,特别是阿联酋和沙乌地阿拉伯,正在投资智慧城市计划和监控技术,整合影像识别以提高安全和城市生活水准。包括中国、日本和印度等充满活力的经济体在内的亚太地区正在见证影像识别技术的快速采用。在庞大的人口基础、蓬勃发展的电子商务产业以及积极的政府技术倡议的推动下,这些国家处于创新和应用的前沿。中国在人工智慧和机器学习领域的大规模投资处于领先地位,其中影像识别是一个关键的重点领域。由于重点关注监控和公共,该国已大规模采用脸部辨识技术。日本对消费者便利性和自动化技术表现出浓厚的兴趣,将影像识别应用于零售、汽车和医疗保健。印度已成为科技Start-Ups的温床,许多企业都在探索影像识别在金融、零售和农业领域的应用。
FPNV定位矩阵
FPNV 定位矩阵对于评估供应商在影像识别市场的定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可对影像识别市场中供应商的现状进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该行业竞争性质的宝贵见解,包括在研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在影像识别市场中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[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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