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市場調查報告書
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1801136

2025 年至 2033 年影像辨識市場規模、佔有率、趨勢及預測（按組件、技術、應用、部署類型、最終用途行業和地區）

Image Recognition Market Size, Share, Trends and Forecast by Component, Technology, Application, Deployment Type, End Use Industry, and Region, 2025-2033
出版日期: | 出版商: IMARC | 英文 122 Pages | 商品交期: 2-3個工作天內

價格

2024年，全球影像辨識市場規模為471.4億美元。預計到2033年，該市場規模將達到1,614.3億美元，2025-2033年期間的複合年成長率為13.92%。北美目前佔據市場主導地位，2024年將佔據約35.0%的市場。人工智慧 (AI) 和機器學習 (ML) 技術在各行各業的廣泛應用推動了影像辨識市場的發展。此外，對即時影像處理、臉部偵測和物體偵測的需求也推動了影像辨識在智慧型裝置和監控系統中的應用。此外，電子商務和數位廣告中對視覺訊息的更多利用也擴大了圖像識別的市場佔有率。

該市場主要受神經網路最佳化技術的進步所驅動，這些技術能夠在各種應用中實現更高的準確度和更快的處理速度。此外，邊緣運算與影像分析的日益融合進一步增強了即時處理能力，尤其是在遠端和安全關鍵型環境中。此外，製造業和醫療保健業對自動化品質檢測的需求不斷成長，這也擴大了電腦視覺應用的範圍。根據產業報告，未來十年物聯網 (IoT) 設備的總數將增加一倍以上，從 2025 年的約 198 億增加到 2034 年的 406 億以上。這種支援物聯網的智慧型裝置的激增導致了大量視覺資料的生成，從而刺激了對可擴展影像識別解決方案的需求。

在美國，市場受益於成熟的技術創新者生態系統、強大的研發 (R&D) 基礎設施以及各行業早期採用的先進人工智慧技術。此外，新興的圖像辨識市場趨勢之一是公共和私營部門對人工智慧人才培養的投資增加。此外，該國對自主系統和智慧監控的強大監管支持正在推動交通、國防和執法領域的實施。根據產業報告，數位身分驗證檢查預計將在 2025 年達到 860 億，反映出全球採用的迅速成長。在美國，這一趨勢在金融領域尤其明顯。銀行和行動平台對生物辨識技術的日益依賴極大地推動了臉部辨識技術的部署。此外，基於影像的分析在智慧零售和精準農業中的整合也反映出對行業特定應用日益成長的需求。

影像辨識市場趨勢：

各行各業擴大採用基於人工智慧的系統

人工智慧系統的廣泛應用是推動市場成長的關鍵因素。根據一份行業報告，全球 78% 的公司報告在其業務中使用人工智慧。人工智慧 (AI) 與影像辨識技術的融合正在改變從醫療保健、汽車到零售和安全等行業的營運能力。人工智慧驅動的模型，特別是深度學習和卷積神經網路 (CNN)，以前所未有的精度增強了物體檢測、臉部辨識和模式分析。這種轉變允許即時資料處理和自主決策，這對於醫療診斷、監控和工業自動化等應用至關重要。對人工智慧平台的依賴性日益增強，正在加速自動化並減少人為錯誤，從而最佳化生產力。這種整體應用有望成為影像辨識市場成長的主要驅動力，尤其是在投資人工智慧研發 (R&D) 活動和智慧基礎設施的地區。

電子商務和零售平台中的視覺搜尋整合

視覺搜尋功能正在重新定義電商和零售領域的客戶體驗，它允許用戶使用圖像而非文字搜尋商品。視覺搜尋採用先進的圖像辨識演算法，提升了商品的可發現性，實現了精準的搜尋結果，並縮短了買家的購物旅程。一份產業報告預測，到2025年，視覺搜尋可使線上零售收入成長高達30%。早期採用者可望提升客戶體驗並獲得競爭優勢。例如，Pinterest Lens 能夠識別超過25億個物體，對於時尚和家居裝飾領域的產品發現尤其有效。零售商將視覺搜尋整合到行動應用程式和網站中，以實現直覺的瀏覽體驗，尤其針對青睞無縫圖像互動的Z世代和千禧世代消費者。此外，智慧型手機、高速網路和人工智慧產品推薦引擎的日益普及，也進一步對數位商務中的影像辨識市場前景產生了正面影響。

增加對數位基礎設施和智慧技術的投資

世界各國政府和企業正在加快對數位基礎設施的投資，以支援 5G、物聯網和人工智慧等先進技術。截至 2025 年 1 月，國際電信聯盟估計需要 1.6 兆美元的投資來彌補全球數位基礎設施缺口，重點是連結性、創新融資和包容性數位發展。這些投資至關重要，因為它們為跨產業部署和擴展影像辨識系統奠定了堅實的基礎。在城市規劃和智慧城市計畫中，影像辨識被用於交通監控、監視、臉部辨識門禁和環境管理。同時，數位孿生和機器視覺系統促進了影像辨識在智慧製造和預測性維護等工業環境中的整合。這些應用需要強大的網路連線、高資料吞吐量和安全的雲端平台，從而推動全球基礎設施的增強。基礎設施現代化與影像分析能力的結合是持續市場擴張的關鍵催化劑。

目錄

第1章：前言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 資料來源
    • 主要來源
    • 次要來源
  • 市場評估
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第3章：執行摘要

第4章：簡介

第5章：全球影像辨識市場

  • 市場概覽
  • 市場表現
  • COVID-19的影響
  • 市場預測

第6章：市場細分：按組成部分

  • 硬體
  • 軟體
  • 服務

第7章：市場區隔：依技術

  • 物體偵測
  • 2D碼/條碼識別
  • 臉部辨識
  • 模式識別
  • 光學字元辨識
  • 其他

第 8 章：市場區隔：按應用

  • 掃描和成像
  • 安全與監控
  • 圖片搜尋
  • 擴增實境
  • 行銷和廣告
  • 其他

第9章：市場區隔：依部署類型

  • 本地
  • 基於雲端

第10章：市場細分：依最終用途產業

  • 金融服務業
  • 媒體與娛樂
  • 資訊科技和電信
  • 政府
  • 衛生保健
  • 運輸和物流
  • 其他

第 11 章：市場區隔：按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲

第 12 章：SWOT 分析

第 13 章：價值鏈分析

第 14 章：波特五力分析

第 15 章：價格分析

第 16 章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • Amazon Web Services Inc. (Amazon.com Inc.)
    • Attrasoft Inc.
    • Google LLC (Alphabet Inc.)
    • Hitachi Ltd.
    • Honeywell International Inc.
    • International Business Machines Corporation
    • Microsoft Corporation
    • NEC Corporation
    • Qualcomm Technologies Inc. (Qualcomm Incorporated)
    • Slyce Inc.
    • Wikitude GmbH
Product Code: SR112025A2568

The global image recognition market size was valued at USD 47.14 Billion in 2024. The market is expected to reach USD 161.43 Billion by 2033, exhibiting a CAGR of 13.92% during 2025-2033. North America currently dominates the market, holding a significant market share of around 35.0% in 2024. The market is propelled by the expanding applications of artificial intelligence (AI) and machine learning (ML) technologies across various industries. Furthermore, the demand for real-time image processing, facial detection, and object detection is fueling the adoption of image recognition in smart devices and surveillance systems. Apart from this, the greater utilization of visual information within e-commerce and digital advertisement is also augmenting the image recognition market share.

The market is primarily driven by advancements in neural network optimization techniques that enable higher accuracy and faster processing across diverse applications. Additionally, the growing integration of edge computing with image analytics is further enhancing real-time processing capabilities, particularly in remote and security-critical environments. Moreover, rising demand for automated quality inspection in manufacturing and healthcare is expanding the scope of computer vision applications. According to industry reports, the total number of Internet of Things (IoT) devices is set to more than double over the next decade, rising from approximately 19.8 Billion in 2025 to over 40.6 Billion by 2034. This proliferation of IoT-enabled smart devices is contributing to the massive generation of visual data, which fuels the demand for scalable image recognition solutions.

In the United States, the market benefits from a mature ecosystem of tech innovators, robust research and development (R&D) infrastructure, and early adoption of advanced AI technologies across sectors. Also, one of the emerging image recognition market trends is the increased public-private investments in AI talent development. Furthermore, the country's strong regulatory support for autonomous systems and smart surveillance is driving implementation in transportation, defense, and law enforcement. As per industry reports, digital identity verification checks are projected to reach 86 Billion in 2025, reflecting rapid global adoption. In the United States, this trend is particularly evident in the financial sector. This growing reliance on biometrics in banking and mobile platforms is significantly driving the deployment of facial recognition technologies. Besides, integration of image-based analytics in smart retail and precision agriculture also reflects a growing demand for industry-specific applications.

Image Recognition Market Trends:

Increased Adoption of AI-Based Systems Across Industries

The widespread adoption of AI-based systems is a key factor driving the growth of the market. According to an industry report, 78% of global companies report using AI in their business. The integration of artificial intelligence (AI) into image recognition technologies is transforming the operational capabilities of sectors ranging from healthcare and automotive to retail and security. AI-driven models, particularly deep learning and convolutional neural networks (CNNs), enhance object detection, facial recognition, and pattern analysis with unprecedented accuracy. This transition allows for real-time data processing and autonomous decision-making, which is critical in applications such as medical diagnostics, surveillance, and industrial automation. The rising dependency on AI-enabled platforms is accelerating automation and reducing human error, thereby optimizing productivity. This overall adoption is poised to be a primary driver of image recognition market growth, particularly in regions investing in AI research and development (R&D) activities and smart infrastructure.

Visual Search Integration in E-Commerce and Retail Platforms

Visual search capabilities are redefining customer experience in the e-commerce and retail domains by allowing users to search products using images instead of text. Powered by sophisticated image recognition algorithms, visual search enhances product discoverability, enables accurate search results, and shortens the buyer's journey. An industry report projected that visual search could boost online retail revenue by up to 30% by 2025. Early adopters stand to improve customer experience and gain a competitive edge. As such, Pinterest Lens, which can recognize over 2.5 billion objects, is especially effective for product discovery in fashion and home decor. Retailers integrate visual search into mobile apps and websites to enable intuitive browsing, particularly targeting Gen Z and millennial consumers who favor seamless, image-based engagement. Besides, the growing penetration of smartphones, high-speed internet, and AI-enabled product recommendation engines further positively impacts the image recognition market outlook in digital commerce.

Increasing Investment in Digital Infrastructure and Smart Technologies

Governments and enterprises worldwide are accelerating investments in digital infrastructure to support advanced technologies such as 5G, IoT, and AI. As of January 2025, ITU estimates a USD 1.6 Trillion investment is needed to close the global digital infrastructure gap, focusing on connectivity, innovative financing, and inclusive digital development. These investments are crucial as they provide a strong foundation for the deployment and scalability of image recognition systems across industries. In urban planning and smart city initiatives, image recognition is being utilized for traffic monitoring, surveillance, facial recognition access control, and environmental management. Concurrently, the integration of image recognition in industrial settings-such as smart manufacturing and predictive maintenance-is facilitated by digital twins and machine vision systems. These applications require robust network connectivity, high data throughput, and secure cloud platforms, prompting infrastructure enhancements globally. The alignment of infrastructure modernization with image analytics capabilities is a key catalyst for sustained market expansion.

Image Recognition Industry Segmentation:

Analysis by Component:

  • Hardware
  • Software
  • Services

Hardware leads the market in 2024. The segment plays a vital part in processing and analyzing large amounts of visual information. Customized components like GPUs, CPUs, FPGAs, and ASICs play a crucial role in running complicated deep learning algorithms and real-time image analysis with accuracy and efficiency. As image recognition software usage extends across industries, from autonomous transport and facial recognition to industrial automation and healthcare diagnostics, there is increased demand for energy-efficient, high-performance hardware that can support AI workloads. Edge devices and embedded systems also underscore the need for smaller yet more powerful hardware to facilitate on-device processing and thus minimize latency and improve data privacy. The development of AI chipsets and hardware accelerators keeps pushing the innovation further with capabilities for quicker model training and inference. Also, stable hardware infrastructure is key to enabling the full potential of image recognition technologies.

Analysis by Technology:

  • Object Detection
  • QR/Barcode Recognition
  • Facial Recognition
  • Pattern Recognition
  • Optical Character Recognition
  • Others

Object detection leads the market in 2024. Object detection allows systems to find, detect, and classify a set of objects in an image or video stream. It serves as a foundational capability for a multitude of applications, from autonomous driving to surveillance, retail analytics, medical imaging, and robotics. In contrast to simple image classification, where a single tag is applied to an image, object detection delivers precise spatial clues by enclosing each detected object with bounding boxes. This improves contextual comprehension and facilitates real-time decision-making in dynamic settings. The development of deep learning architectures-like YOLO (You Only Look Once), Faster R-CNN, and SSD (Single Shot Detector)-has come a long way in accelerating and enhancing object detection systems' accuracy. As the need for smart vision systems increases in various sectors, object detection remains crucial in enabling more automation, safety, and user experience, making it an integral driving factor in the image recognition industry.

Analysis by Application:

  • Scanning and Imaging
  • Security and Surveillance
  • Image Searching
  • Augmented Reality
  • Marketing and Advertising
  • Others

Marketing and advertising lead the market in 2024. The segment is fueled by the demand for data-driven, individualized engagement solutions. Brands use image recognition technology to evaluate consumer behavior, monitor visual content performance, and serve targeted ads by visual preferences and visual engagement. With facial recognition, emotion detection, and product tagging, marketers can achieve better insights into customer reactions and adjust campaigns accordingly. In shopping malls, image recognition identifies shopper demographics and foot traffic patterns to better plan in-store promotions. On online platforms, it enables visual search and autonomous tagging of content to enhance discoverability and user engagement. With social media and e-commerce platforms increasingly based on visual content, image recognition becomes critical in making marketing more efficient and maximizing ROI. This technological fusion not only optimizes brand-customer relationships but also enables dynamic, real-time campaign refinement, making it an important asset in the contemporary advertising environment.

Analysis by Deployment Type:

  • On-premises
  • Cloud-based

Cloud-based leads the market with around 65.4% of market share in 2024. This mode of deployment provides scalable, adaptable, and affordable solutions to handle and analyze visual information. Cloud infrastructure enables organizations to process vast amounts of images and videos without having to invest in massive on-premises hardware. This is especially useful for applications that need to be processed in real-time, including surveillance, self-driving cars, or e-commerce sites, where speed inference and scalability are essential. Cloud platforms further provide smooth integration of higher-level AI and machine learning models, enabling companies to refresh or enhance recognition abilities quickly. In addition, the cloud facilitates collaborative workflows, remote working, and shared data management, which improves operational efficiency. With increasing demand for image-based analytics across verticals, cloud solutions are becoming the preferred choice due to their flexibility, reduced capital expenditures, and capacity to continually innovate, making them an important deployment option in the market.

Analysis by End Use Industry:

  • BFSI
  • Media and Entertainment
  • IT and Telecom
  • Government
  • Healthcare
  • Transportation and Logistics
  • Others

Media and entertainment lead the market in 2024. This segment utilizes image recognition technology to drive content creation, distribution, and audience engagement. Image recognition facilitates automatic tagging, indexing, and categorization of visual content, greatly simplifying content management and searchability across large media libraries. In video broadcasting and streaming, it assists in real-time object tracking, scene detection, and facial recognition that enhance recommendations and personalized content serving. It is also crucial in copyright protection and brand surveillance by identifying unauthorized use of visual content. Social media sites apply image recognition to screen content, add augmented reality (AR) effects, and enhance user interactions. As consumers seek more interactive and immersive experiences, AI-based image recognition's integration in media workflows is on the rise. This improves operational effectiveness and also affects audience targeting and content monetization.

Regional Analysis:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

In 2024, North America accounted for the largest market share of over 35.0%. The market in the region is propelled by increased technology adoption, solid infrastructure, and high investment in artificial intelligence and machine learning. The region, especially the United States, boasts large tech giants as well as innovative startups that are constantly working on sophisticated image recognition solutions across industries like healthcare, automotive, security, and retail. The use of smartphones, smart devices, and surveillance systems has also increased the need for image-based analytics and real-time recognition features. Further, the market expansion is supported by extensive government and private investment for AI research, with computer vision technology being encouraged through innovation. The established cloud ecosystem in the region is also able to support the scalable deployment of image recognition software. With more businesses embracing automation and data-driven decision-making, North America remains at the forefront of image recognition trends globally and is therefore an essential hub for the development of this revolutionary technology.

Key Regional Takeaways:

United States Image Recognition Market Analysis

In 2024, the United States holds a substantial share of around 88.80% of the image recognition market share in North America. The market is primarily driven by the rising deployment of visual AI in autonomous vehicles for real-time object detection and navigation accuracy. In line with this, the expanding use of drones in precision agriculture for crop monitoring and yield assessment is encouraging higher product adoption. The rapid integration of image-based biometric systems in banking and border security is enhancing authentication standards and operational efficiency, propelling market growth. The continual advancement of edge computing solutions is enabling faster, on-site image analysis, which is crucial for industries requiring low-latency decision-making. Furthermore, the proliferation of AI-assisted diagnostic tools in telemedicine is supporting the expansion of medical imaging applications. Additionally, the defense sector's increasing use of image recognition in surveillance and reconnaissance is supporting market demand. An industry report stated that over 100 U.S. police departments use facial recognition services. Recent polling also showed that 46% of American adults support its use by law enforcement for public safety. Moreover, the increasing investment in venture capital for computer vision startups is accelerating innovation and application development, thereby providing a significant impetus to the market.

Europe Image Recognition Market Analysis

The European market is experiencing growth due to the increasing integration of image recognition in smart city infrastructure for applications such as traffic monitoring and public safety. In accordance with this, the expansion of automated manufacturing across Germany, France, and Italy, which drives the adoption of visual AI in quality control and process optimization, is propelling market growth. Similarly, the continual adoption in the insurance sector of automating claims assessment and detecting fraud is reinforcing enterprise investment and expanding the market reach. The rise of augmented reality in retail and tourism is promoting demand for image recognition to deliver personalized, immersive experiences. According to an industry report, 72% of luxury fashion buyers in the UK are keen to integrate augmented reality (AR) into their online shopping experience. Additionally, nearly 90% of Gen Z consumers are receptive to using AR technology to see how furniture or home decor would look in their living spaces. Furthermore, the growing emphasis on GDPR compliance, which is prompting the development of privacy-conscious image-processing solutions, is fostering market expansion. The European automotive industry's increasing use of image-based driver assistance and monitoring systems is strengthening the adoption of these technologies. Besides this, favorable government digitization initiatives expanding investment in AI-enhanced administrative workflows are creating lucrative market opportunities.

Asia Pacific Image Recognition Market Analysis

The market in the Asia Pacific is primarily driven by the region's rapid advancements in AI and machine learning technologies. Additionally, the growing manufacturing sector in China and Japan is adopting image recognition for quality control, automation, and predictive maintenance, thereby promoting market demand. According to the China Organization Data Service, China had 6.03 million manufacturing enterprises as of August, representing a 5.53% increase from the previous year, with 8.55% (515,300) in strategic emerging industries. Similarly, the rise of smart retail solutions, such as visual search and customer behavior tracking, is significantly contributing to market growth. Furthermore, supportive government initiatives in China and India are integrating image recognition for security and surveillance purposes, which is accelerating its adoption. Additionally, its increasing application in healthcare for diagnostics is driving growth in the medical field and stimulating market appeal. Moreover, the heightened emphasis on smart cities, which fosters the integration of visual AI in infrastructure and public services, is strengthening the market presence.

Latin America Image Recognition Market Analysis

In Latin America, the image recognition market is advancing due to the growing adoption of AI technologies in retail and banking, which is improving customer experience and enhancing fraud prevention. Similarly, the increasing use of image recognition in transportation for traffic monitoring, as well as the development of autonomous vehicles, is driving market growth. Furthermore, the expansion of e-commerce is propelling the demand for visual search tools and enhancing product discovery for consumers. Industry analysis indicated that, in 2023, Brazil's e-commerce sector generated approximately BRL 186 Billion (around USD 33.4 Billion) in revenue, reflecting a 9.5% growth compared to 2022, indicating continued strong market expansion. Moreover, government initiatives aimed at enhancing public security through AI-driven surveillance systems are accelerating the integration of image recognition technologies across the region.

Middle East and Africa Image Recognition Market Analysis

The market in the Middle East and Africa is significantly driven by the increasing demand for advanced surveillance systems, particularly in urban areas, to enhance public security. Furthermore, the growing adoption of image recognition in healthcare, particularly for diagnostic imaging and patient monitoring, is driving market expansion. Additionally, the rise of smart retail solutions, such as visual search and personalized shopping experiences, is encouraging wider product adoption. Apart from this, the expanding automotive sector in the region, particularly for autonomous vehicles and driver assistance systems, is further accelerating the demand for image recognition technologies. As such, in the UAE, Dubai aims to make 25% of all transportation trips autonomous by 2030, supported by initiatives from the Roads and Transport Authority (RTA), including autonomous taxis and delivery bots.

Competitive Landscape:

The market competition is driven by accelerating technology innovation, strategic partnerships, and growing investment in AI-based visual intelligence technologies. Further, firms are working on advanced algorithms that improve recognition rates across diversified applications, including security, medical diagnostics, e-commerce, and auto systems. In addition, the market includes a combination of mature players and new entrants that compete on performance, scalability, and integration with wider digital ecosystems. Additionally, cloud-based deployment and edge computing are emerging as dominant trends, pushing real-time processing and decreasing latency in image analysis. Moreover, compliance with regulations, data privacy, and ethical use of facial recognition are becoming central to product differentiation and customer trust. Players are also extending their international presence through local tie-ups and tailored offerings for industry-specific requirements. As per the image recognition market forecast, the market is likely to expand significantly in the next few years, propelled by AI innovation, expanding automation, and expanding demand for smart visual analysis in business processes.

The report provides a comprehensive analysis of the competitive landscape in the image recognition market with detailed profiles of all major companies, including:

  • Amazon Web Services Inc. (Amazon.com Inc.)
  • Attrasoft Inc.
  • Google LLC (Alphabet Inc.)
  • Hitachi Ltd.
  • Honeywell International Inc.
  • International Business Machines Corporation
  • Microsoft Corporation
  • NEC Corporation
  • Qualcomm Technologies Inc. (Qualcomm Incorporated)
  • Slyce Inc.
  • Wikitude GmbH

Key Questions Answered in This Report

  • 1.How big is the image recognition market?
  • 2.What is the future outlook of the image recognition market?
  • 3.What are the key factors driving the image recognition market?
  • 4.Which region accounts for the largest image recognition market?
  • 5.Which are the leading companies in the global image recognition market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Image Recognition Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Hardware
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Software
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Technology

  • 7.1 Object Detection
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 QR/Barcode Recognition
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Facial Recognition
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Pattern Recognition
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Optical Character Recognition
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 Others
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Scanning and Imaging
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Security and Surveillance
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Image Searching
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Augmented Reality
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Marketing and Advertising
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Others
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast

9 Market Breakup by Deployment Type

  • 9.1 On-premises
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Cloud-based
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast

10 Market Breakup by End Use Industry

  • 10.1 BFSI
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 Media and Entertainment
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 IT and Telecom
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Government
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Healthcare
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Transportation and Logistics
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast
  • 10.7 Others
    • 10.7.1 Market Trends
    • 10.7.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 Amazon Web Services Inc. (Amazon.com Inc.)
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
      • 16.3.1.3 SWOT Analysis
    • 16.3.2 Attrasoft Inc.
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
    • 16.3.3 Google LLC (Alphabet Inc.)
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
      • 16.3.3.3 SWOT Analysis
    • 16.3.4 Hitachi Ltd.
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
      • 16.3.4.4 SWOT Analysis
    • 16.3.5 Honeywell International Inc.
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 Financials
      • 16.3.5.4 SWOT Analysis
    • 16.3.6 International Business Machines Corporation
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 Financials
      • 16.3.6.4 SWOT Analysis
    • 16.3.7 Microsoft Corporation
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
      • 16.3.7.3 Financials
      • 16.3.7.4 SWOT Analysis
    • 16.3.8 NEC Corporation
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
      • 16.3.8.3 Financials
      • 16.3.8.4 SWOT Analysis
    • 16.3.9 Qualcomm Technologies Inc. (Qualcomm Incorporated)
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
    • 16.3.10 Slyce Inc.
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
    • 16.3.11 Wikitude GmbH
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials

List of Figures

  • Figure 1: Global: Image Recognition Market: Major Drivers and Challenges
  • Figure 2: Global: Image Recognition Market: Sales Value (in Billion USD), 2019-2024
  • Figure 3: Global: Image Recognition Market: Breakup by Component (in %), 2024
  • Figure 4: Global: Image Recognition Market: Breakup by Technology (in %), 2024
  • Figure 5: Global: Image Recognition Market: Breakup by Application (in %), 2024
  • Figure 6: Global: Image Recognition Market: Breakup by Deployment Type (in %), 2024
  • Figure 7: Global: Image Recognition Market: Breakup by End Use Industry (in %), 2024
  • Figure 8: Global: Image Recognition Market: Breakup by Region (in %), 2024
  • Figure 9: Global: Image Recognition Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 10: Global: Image Recognition (Hardware) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 11: Global: Image Recognition (Hardware) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 12: Global: Image Recognition (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 13: Global: Image Recognition (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 14: Global: Image Recognition (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 15: Global: Image Recognition (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 16: Global: Image Recognition (Object Detection) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 17: Global: Image Recognition (Object Detection) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 18: Global: Image Recognition (QR/Barcode Recognition) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 19: Global: Image Recognition (QR/Barcode Recognition) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 20: Global: Image Recognition (Facial Recognition) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 21: Global: Image Recognition (Facial Recognition) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 22: Global: Image Recognition (Pattern Recognition) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 23: Global: Image Recognition (Pattern Recognition) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 24: Global: Image Recognition (Optical Character Recognition) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 25: Global: Image Recognition (Optical Character Recognition) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 26: Global: Image Recognition (Other Technologies) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 27: Global: Image Recognition (Other Technologies) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 28: Global: Image Recognition (Scanning and Imaging) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 29: Global: Image Recognition (Scanning and Imaging) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 30: Global: Image Recognition (Security and Surveillance) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 31: Global: Image Recognition (Security and Surveillance) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 32: Global: Image Recognition (Image Searching) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 33: Global: Image Recognition (Image Searching) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 34: Global: Image Recognition (Augmented Reality) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 35: Global: Image Recognition (Augmented Reality) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 36: Global: Image Recognition (Marketing and Advertising) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 37: Global: Image Recognition (Marketing and Advertising) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 38: Global: Image Recognition (Other Applications) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 39: Global: Image Recognition (Other Applications) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 40: Global: Image Recognition (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 41: Global: Image Recognition (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 42: Global: Image Recognition (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 43: Global: Image Recognition (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 44: Global: Image Recognition (BFSI) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 45: Global: Image Recognition (BFSI) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 46: Global: Image Recognition (Media and Entertainment) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 47: Global: Image Recognition (Media and Entertainment) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 48: Global: Image Recognition (IT and Telecom) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 49: Global: Image Recognition (IT and Telecom) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 50: Global: Image Recognition (Government) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 51: Global: Image Recognition (Government) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 52: Global: Image Recognition (Healthcare) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 53: Global: Image Recognition (Healthcare) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 54: Global: Image Recognition (Transportation and Logistics) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 55: Global: Image Recognition (Transportation and Logistics) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 56: Global: Image Recognition (Other End Use Industries) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 57: Global: Image Recognition (Other End Use Industries) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 58: North America: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 59: North America: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 60: United States: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 61: United States: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 62: Canada: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 63: Canada: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 64: Asia Pacific: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 65: Asia Pacific: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 66: China: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 67: China: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 68: Japan: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 69: Japan: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 70: India: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 71: India: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 72: South Korea: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 73: South Korea: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 74: Australia: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 75: Australia: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 76: Indonesia: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 77: Indonesia: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 78: Others: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 79: Others: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 80: Europe: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 81: Europe: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 82: Germany: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 83: Germany: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 84: France: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 85: France: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 86: United Kingdom: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 87: United Kingdom: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 88: Italy: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 89: Italy: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 90: Spain: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 91: Spain: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 92: Russia: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 93: Russia: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 94: Others: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 95: Others: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 96: Latin America: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 97: Latin America: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 98: Brazil: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 99: Brazil: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 100: Mexico: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 101: Mexico: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 102: Others: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 103: Others: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 104: Middle East and Africa: Image Recognition Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 105: Middle East and Africa: Image Recognition Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 106: Global: Image Recognition Industry: SWOT Analysis
  • Figure 107: Global: Image Recognition Industry: Value Chain Analysis
  • Figure 108: Global: Image Recognition Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Image Recognition Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: Image Recognition Market Forecast: Breakup by Component (in Million USD), 2025-2033
  • Table 3: Global: Image Recognition Market Forecast: Breakup by Technology (in Million USD), 2025-2033
  • Table 4: Global: Image Recognition Market Forecast: Breakup by Application (in Million USD), 2025-2033
  • Table 5: Global: Image Recognition Market Forecast: Breakup by Deployment Type (in Million USD), 2025-2033
  • Table 6: Global: Image Recognition Market Forecast: Breakup by End Use Industry (in Million USD), 2025-2033
  • Table 7: Global: Image Recognition Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 8: Global: Image Recognition Market Structure
  • Table 9: Global: Image Recognition Market: Key Players