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1717752

人工智慧影像識別市場（按組件、技術、應用、最終用戶產業和部署模式）—2025 年至 2030 年全球預測

AI Image Recognition Market by Component, Technology, Application, End User Industry, Deployment Mode - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 185 Pages | 商品交期: 最快1-2個工作天內

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AI影像識別市場預計2024年將達到247.2億美元，2025年將達到273.3億美元，複合年成長率為10.89%，到2030年將達到459.8億美元。

主要市場統計數據
基準年2024年 247.2億美元
預計2025年 273.3億美元
預測年份 2030 459.8億美元
複合年成長率（%） 10.89%

近年來，人工智慧和影像識別技術迅速發展，從根本上改變了組織解釋視覺數據的方式。隨著傳統影像處理技術讓位給先進的神經網路和機器學習，市場正經歷創新和能力的激增。這種演變不僅僅是提高準確性和速度；它代表了一種更廣泛的轉變，將數據分析、雲端處理和先進的硬體結合在一起，提供準確、即時的洞察。

現今的企業面臨著滿足消費者需求同時最佳化業務效率的壓力。從開拓行銷和監控領域的新收益來源到執行工業應用中的安全通訊協定，這些技術使企業能夠達到以前從未想過的精確度。本摘要深入探討了推動 AI影像識別領域變革的潛在趨勢、市場變化和策略舉措，為產業領導者和決策者提供了全面的視角。

突破性的技術進步、不斷降低的硬體成本以及新穎的應用正在融合，創造出一個成熟的顛覆環境。由於演算法的改進和支援技術生態系統的不斷發展，人工智慧主導的影像識別正在從實驗性的概念驗證轉變為強大、可擴展的解決方案。該領域所經歷的轉型得益於其跨學科的快速應用和專業服務的出現。從本質上講，從孤立的先導計畫到廣泛的商業部署的歷程標誌著一個新時代的開始，它將重塑企業的全球營運和競爭方式。

影像識別市場的變化動態

在過去的幾年裡，人工智慧影像識別領域發生了變革性的轉變，正在重新定義產業範式。這種動態演變的特點是新興技術的整合、經營模式的變化和監管變化，每個因素都在塑造市場動態發揮關鍵作用。

從傳統系統轉向整合的雲端對應平臺是最重大的變化之一。增強的連接性和資料處理能力使得即時分析變得更加容易，使企業能夠從大量影像資料中獲得可行的見解。商務策略正在不斷發展，重點關注更快的引進週期、更強的適應性和最佳化的業務效率。投資者和技術創新者都在押注能夠在日益激烈的市場競爭中提供快速擴充性和適應性的技術。

此外，複雜的機器學習模型的採用正在帶來模式識別和物體偵測等領域的突破。同時，硬體的進步，包括高解析度攝影機和專用處理器的廣泛普及，促進了更準確、更可靠的系統的部署。這些技術的整合迫使企業重新評估其資料安全、隱私和遵守不斷發展的全球標準的方法。

同樣，市場也在經歷支撐其部署策略的經濟模式的變化。與傳統的內部部署選項相比，雲端基礎的解決方案由於其提供的靈活性和降低的資本支出而迅速受到歡迎。這種轉變因需要更快、更迭代的更新而得到加強，這在不斷創新驅動的環境中至關重要。這些不斷發展的動態為老牌企業和敏捷的新興企業創造了肥沃的土壤，以佔領重要的市場佔有率，塑造了建立在持續改進和戰略敏捷性基礎上的競爭環境。

總而言之，重塑AI影像識別市場的變革性變化是多維的，涵蓋技術進步、新的經營模式和不斷發展的客戶期望。雲端功能、增強數據分析和新穎硬體解決方案的整合不僅重新定義了業務效率，也為下一個創新時代奠定了基礎。

跨元件、技術、應用程式、最終用戶和部署模式的關鍵細分洞察

AI影像識別市場的細分分析揭示出一個複雜的結構，推動著跨多個維度的創新和競爭差異化。按組件評估市場表明該行業涵蓋硬體、軟體和服務。在硬體執行領域，相機、處理器和感測器處於最前沿，每個都對整體系統性能做出貢獻。同樣重要的是該公司的諮詢、部署和整合服務部門，該部門在實施和客製化解決方案以滿足特定組織需求方面發揮關鍵作用。軟體產業由分析工具、影像處理軟體和機器學習演算法驅動，這些工具、影像處理軟體和機器學習演算法有助於將原始數據轉化為有意義的見解。

當你從技術角度而非僅僅從核心組件的角度來剖析它時，進一步的細微差別就會變得明顯。市場在各個領域都活躍起來，包括代碼識別、臉部辨識、物體辨識、光學字元辨識和模式辨識。這些技術不僅功能多樣，而且應用互補，從而能夠更全面地解決與成像相關的挑戰。例如，臉部辨識徹底改變了安全系統，而光學字元辨識為許多傳統行業的資料數位化鋪平了道路。

將焦點轉向應用領域，人工智慧影像識別的應用涵蓋了廣泛的領域，包括擴增實境、影像搜尋、行銷和廣告、掃描和成像、安全性和監控等。每個應用領域都利用這些技術的優勢來滿足特定的需求，例如改善客戶體驗、增強視覺敘事或加強安全通訊協定。這些應用程式如何利用底層技術的細微差別為不斷變化的市場重點和新興需求趨勢提供了見解。

根據最終用戶行業對市場進行評估進一步拓寬了視野。汽車、銀行、金融服務和保險、娛樂和媒體、醫療保健、製造和零售等行業正在積極採用人工智慧影像識別來提高效率和創新。這些產業採用的多樣性凸顯了影像識別技術的多功能性，同時也凸顯了客製化解決方案的機會，可以解決特定產業的挑戰和法規環境。

最後，當我們觀察部署模式時，雲端基礎和內部部署的解決方案之間的兩極化揭示了一些有趣的趨勢。雲端基礎的部署因其固有的優勢（例如可擴展性、成本效益和快速部署能力）而日益興起。在資料隱私和控制至關重要的領域，內部部署繼續發揮關鍵作用。這些細分提供了對市場的詳細了解，有助於策略決策和資源分配。

目錄

第1章 引言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 消費者對智慧家庭和物聯網設備的需求正在上升
      • 生物識別安全系統的採用日益增多
      • 加強AI影像識別與各產業的融合
    • 限制因素
      • 缺乏概要和可解釋性的問題
    • 機會
      • 深度學習演算法和技術的進展
      • 人工智慧透過先進的基於影像的監測技術在野生動物保護方面具有巨大潛力
    • 任務
      • 資料隱私和安全問題
  • 市場區隔分析
    • 建構模組：對提高人工智慧系統適應性的諮詢服務的興趣日益濃厚
    • 應用：人工智慧影像識別在行銷和廣告領域的應用日益廣泛
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會
    • 技術的
    • 合法的
    • 環境

第6章 AI影像識別市場（按組件）

  • 硬體
    • 相機
    • 處理器
    • 感應器
  • 服務
    • 諮詢服務
    • 實施服務
    • 整合服務
  • 軟體
    • 分析工具
    • 影像處理軟體
    • 機器學習演算法

第7章 AI影像識別市場（按技術）

  • 條碼識別
  • 臉部辨識
  • 物體辨識
  • 光學字元辨識
  • 模式識別

第8章 AI影像識別市場：按應用

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

第9章 AI影像識別市場（按最終用戶產業）

  • 車
  • 銀行、金融服務和保險
  • 娛樂和媒體
  • 衛生保健
  • 製造業
  • 零售

第 10 章 AI影像識別市場（依部署模式）

  • 雲端基礎
  • 本地

第 11 章美洲 AI影像識別市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第12章 亞太地區AI影像識別市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第13章 歐洲、中東和非洲的人工智慧影像識別市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第14章競爭格局

  • 2024年市場佔有率分析
  • 2024年FPNV定位矩陣
  • 競爭情境分析
  • 戰略分析與建議

公司名單

  • Airy3D Inc.
  • Amazon Web Services, Inc.
  • Anthropic PBC
  • Blippar Group Limited
  • Clarifai, Inc.
  • Cognitec Systems
  • DataRobot, Inc.
  • Delaware corporation
  • Fritz Labs Inc.
  • Google LLC by Alphabet Inc.
  • Honeywell International Inc.
  • Huawei Cloud Computing Technologies Co., Ltd.
  • Infrrd Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • iProov Ltd
  • MERCURIO PLATFORM, SL
  • Microsoft Corporation
  • Monolith AI Ltd.
  • NEC Corporation
  • Nvidia Corporation
  • Oracle Corporation
  • Panasonic Holdings Co., Ltd.
  • Qualcomm Technologies, Inc.
  • Snap2Insight Inc.
  • Standard Cognition, Corp
  • Toshiba Corporation
  • Trax Technology Solutions Pte Ltd.
  • Vispera Information Technologies
  • Ximilar sro
Product Code: MRR-B16853776A23

The AI Image Recognition Market was valued at USD 24.72 billion in 2024 and is projected to grow to USD 27.33 billion in 2025, with a CAGR of 10.89%, reaching USD 45.98 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 24.72 billion
Estimated Year [2025] USD 27.33 billion
Forecast Year [2030] USD 45.98 billion
CAGR (%) 10.89%

Artificial Intelligence and image recognition technologies have rapidly evolved over recent years, fundamentally changing the way organizations interpret visual data. As traditional imaging methodologies give way to advanced neural networks and machine learning, the market has experienced a surge in innovation and capacity. This evolution is not just about improved accuracy or speed; it represents a broader transformation that integrates data analytics, cloud computing, and sophisticated hardware to deliver precise, real-time insights.

Today's businesses are under increasing pressure to meet consumer demands while optimizing operational efficiency, a challenge that AI image recognition is uniquely positioned to address. From unlocking new revenue streams in marketing and surveillance to enhancing safety protocols in industrial applications, these technologies enable businesses to harness a level of precision previously deemed unattainable. This summary delves into the underlying trends, market shifts, and strategic maneuvers that are powering change in the AI image recognition landscape, providing a comprehensive view for industry leaders and decision-makers.

Technological breakthroughs, reduced hardware costs, and novel applications are converging to create an environment ripe for disruption. With improved algorithms and an expanding ecosystem of supportive technologies, AI-driven image recognition has moved from experimental proof-of-concept stages to robust, scalable solutions. The transformation witnessed in this arena is underscored by rapid adoption across varied sectors and the emergence of specialized service offerings. In essence, the journey from isolated pilot projects to widespread commercial deployments marks the dawn of a new era, reshaping how businesses operate and compete globally.

Transformative Shifts in Image Recognition Market Dynamics

Over the past several years, the landscape of AI image recognition has experienced transformative shifts that are redefining industry paradigms. This dynamic evolution is characterized by a convergence of advanced technologies, changing business models, and regulatory shifts, each playing a critical role in molding market dynamics.

The transition from legacy systems to integrated, cloud-enabled platforms is one of the most significant shifts. Improved connectivity and data processing capabilities have facilitated real-time analytics, enabling organizations to extract actionable insights from vast repositories of image data. Business strategies are evolving to focus on faster implementation cycles, enhanced adaptability, and optimization of operational efficiencies. Investors and tech innovators alike are placing their bets on technologies that offer rapid scalability and adaptability in an increasingly competitive market.

Furthermore, the adoption of sophisticated machine learning models has led to breakthroughs in areas such as pattern recognition and object detection. In parallel, hardware advancements, including the proliferation of high-definition cameras and specialized processors, have catalyzed the deployment of more accurate and reliable systems. Integration of these technologies is forcing companies to re-evaluate their approaches to data security, privacy, and compliance with evolving global standards.

Similarly, the market is witnessing a shift in the economic models underpinning deployment strategies. Cloud-based solutions are rapidly gaining ground, offering flexibility and reduced capital expenditure compared to traditional on-premise installations. This shift is augmented by the need for faster, iterative updates that are essential in a landscape driven by continuous innovation. These evolving dynamics are creating fertile ground for both established players and nimble startups to claim significant market share, thereby forging a competitive environment built on relentless improvement and strategic agility.

In sum, the transformative shifts that are reshaping the AI image recognition market are multi-dimensional, spanning technological advances, new business models, and evolving customer expectations. The integration of cloud capabilities, enhanced data analytics, and novel hardware solutions is not only redefining operational efficiencies but also setting the stage for the next era of innovation.

Key Segmentation Insights across Components, Technologies, Applications, End Users, and Deployment Modes

The segmentation analysis of the AI image recognition market unveils a complex structure that drives innovation and competitive differentiation across various dimensions. When evaluating the market by component, it becomes evident that the industry spans across hardware, software, and services. In the hardware execution domain, cameras, processors, and sensors are at the forefront, each contributing to the overall system performance. Equally critical, the services segment-comprising consulting, deployment, and integration-plays a vital role in implementing and customizing solutions that meet specific organizational needs. The software segment, driven by analytics tools, image processing software, and machine learning algorithms, is instrumental in transforming raw data into meaningful insights.

Beyond the core components, a technology-based dissection reveals further nuance. The market sees robust activity in various fields such as code recognition, facial recognition, object recognition, optical character recognition, and pattern recognition. These technologies are not only diverse in function but also complementary in application, enabling a more holistic approach to addressing image-related challenges. For instance, while facial recognition has revolutionized security systems, optical character recognition has paved the way for data digitization in numerous legacy industries.

Shifting focus to application segments, the adoption of AI image recognition spans a wide range of fields including augmented reality, image search, marketing and advertising, scanning and imaging, as well as security and surveillance. Each application area harnesses the strengths of these technologies to meet its specific demands, whether it is for enhancing customer experience, augmenting visual storytelling, or bolstering security protocols. The nuanced differences in how these applications leverage the underlying technology provide insight into the shifting market priorities and emerging demand trends.

Evaluation of the market based on the end user industry further broadens the perspective. Industries such as automotive, banking, financial services and insurance, entertainment and media, healthcare, manufacturing, and retail are actively integrating AI image recognition to drive efficiency and innovation. The diversity in adoption across these sectors underscores the versatile nature of image recognition technologies, while simultaneously highlighting the opportunity for tailored solutions that can cater to industry-specific challenges and regulatory environments.

Finally, considering the deployment mode, the dichotomy between cloud-based and on-premise solutions reveals interesting trends. Cloud-based deployments are on the rise due to their inherent benefits including scalability, cost-efficiency, and rapid deployment capabilities. On-premise installations continue to play a critical role in sectors where data sensitivity and control are paramount. Together, these segmentation dimensions provide a granular understanding of the market which is instrumental for strategic decision-making and resource allocation.

Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Cameras, Processors, and Sensors. The Services is further studied across Consulting Services, Deployment Services, and Integration Services. The Software is further studied across Analytics Tools, Image Processing Software, and Machine Learning Algorithms.

Based on Technology, market is studied across Code Recognition, Facial Recognition, Object Recognition, Optical Character Recognition, and Pattern Recognition.

Based on Application, market is studied across Augmented Reality, Image Search, Marketing & Advertising, Scanning & Imaging, and Security & Surveillance.

Based on End User Industry, market is studied across Automotive, Banking, Financial Services & Insurance, Entertainment & Media, Healthcare, Manufacturing, and Retail.

Based on Deployment Mode, market is studied across Cloud-Based and On-Premise.

Key Regional Insights Shaping the Global AI Image Recognition Market

An analysis of market regions uncovers significant variations in adoption rates, regulatory environments, and consumer behavior that are shaping the global landscape for AI image recognition. In the Americas, there is a robust surge in research and adoption of state-of-the-art imaging solutions, driven by a combination of technological innovation and strong capital investment. Companies in this region have been quick to integrate the latest advancements, achieving both scale and performance breakthroughs that set global standards.

In Europe, the Middle East, and Africa, the market exhibits a unique blend of regulatory evolution and rapid technological adoption. This diverse region is characterized by well-established regulatory frameworks that are designed to protect consumer privacy while still encouraging innovation. Here, businesses leverage AI image recognition not only to improve operational efficiencies but also to comply with stringent data protection laws, making it an ideal ground for cutting-edge, secure solutions. The interplay between regulation and innovation in these regions drives a competitive environment that champions both functionality and ethical considerations.

Across the Asia-Pacific, dynamic growth is observed as technology adoption continues to accelerate, supported by strong governmental initiatives and strategic investments in technology startups. Markets in this region are particularly focused on achieving scalability and innovation, with many companies implementing cloud-based solutions to tap into the region's vast pool of data and digital initiatives. This focus is complemented by a cultural shift towards embracing the digital transformation of traditional industries, thus fueling demand for advanced image recognition systems that can support rapid business expansion and operational resilience.

Collectively, these regional insights underline the fact that while the AI image recognition market is truly global, localized nuances significantly impact technology adoption, regulatory landscapes, and investment strategies. Each region presents unique opportunities and challenges, influencing how companies tailor their solutions to meet specific market requirements.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Leading Industry Players Driving Innovation in AI Image Recognition

A closer examination of the key companies in this sector reveals a vibrant ecosystem of innovation and competition. Innovators such as Airy3D Inc. and Amazon Web Services lead the charge with advanced hardware integrations and scalable cloud solutions, respectively, establishing them as pioneers in the field. Companies like Anthropic PBC and Blippar Group Limited are gaining recognition for their forward-thinking approaches to environmental and contextual image analysis, while Clarifai, Inc. is known for pushing the boundaries of deep learning and pattern recognition through innovative software solutions.

Other notable industry leaders such as Cognitec Systems and DataRobot, Inc. have carved niches by developing specialized applications that blend sophisticated algorithms with practical, real-world use cases. Delaware corporation and Fritz Labs Inc. are making significant strides in niche markets, offering bespoke consulting and integration services that cater to highly specialized operational needs. Global giants such as Google LLC by Alphabet Inc. and Honeywell International Inc. continue to set benchmarks for performance and reliability in image recognition, while Huawei Cloud Computing Technologies Co., Ltd. has increasingly become a major contributor to research and development in the field.

Similarly, Infrrd Inc. and Intel Corporation have been instrumental in refining hardware-software synergies that underpin high-performance imaging systems. The influence of established technology behemoths such as International Business Machines Corporation and Microsoft Corporation further underscores the market's increasing importance and maturity. iProov Ltd, along with MERCURIO PLATFORM, S.L., and other emerging players, are rapidly gaining traction by offering innovative security solutions. Additional leadership is seen from companies including Monolith AI Ltd., NEC Corporation, Nvidia Corporation, Oracle Corporation, Panasonic Holdings Co., Ltd., Qualcomm Technologies, Inc., and Snap2Insight Inc., each contributing to the overall market momentum.

Standard Cognition, Corp, Toshiba Corporation, Trax Technology Solutions Pte Ltd., Vispera Information Technologies, and Ximilar s.r.o. also play pivotal roles, collectively shaping the competitive landscape through parallel innovations in both technology and service delivery. The diverse expertise spanning from cloud integrations to cutting-edge hardware enhancements is driving the market forward, providing stakeholders with a rich tapestry of products and services that continue to redefine industry standards and client expectations.

The report delves into recent significant developments in the AI Image Recognition Market, highlighting leading vendors and their innovative profiles. These include Airy3D Inc., Amazon Web Services, Inc., Anthropic PBC, Blippar Group Limited, Clarifai, Inc., Cognitec Systems, DataRobot, Inc., Delaware corporation, Fritz Labs Inc., Google LLC by Alphabet Inc., Honeywell International Inc., Huawei Cloud Computing Technologies Co., Ltd., Infrrd Inc., Intel Corporation, International Business Machines Corporation, iProov Ltd, MERCURIO PLATFORM, S.L., Microsoft Corporation, Monolith AI Ltd., NEC Corporation, Nvidia Corporation, Oracle Corporation, Panasonic Holdings Co., Ltd., Qualcomm Technologies, Inc., Snap2Insight Inc., Standard Cognition, Corp, Toshiba Corporation, Trax Technology Solutions Pte Ltd., Vispera Information Technologies, and Ximilar s.r.o.. Actionable Recommendations for Industry Leaders to Capitalize on Emerging Opportunities

Industry leaders must strategically navigate the complex terrain of the AI image recognition market by adopting proactive measures that enhance both agility and innovation. It is essential to continuously invest in research and development, specifically in areas that combine hardware, software, and services to create comprehensive, scalable solutions. Organizations are encouraged to partner with technology experts and academic institutions in order to stay abreast of emerging trends and integrate state-of-the-art techniques into their product offerings.

Another key recommendation is to develop flexible deployment models that can cater to both on-premise and cloud-based needs. By leveraging hybrid models, businesses can maximize operational efficiency while ensuring high data security standards. Embracing modular development practices further ensures that systems remain adaptable to future technological advancements, thus safeguarding long-term investments.

Leaders should also focus on building ecosystems that encourage cross-industry collaboration. Developing strategic alliances with technology providers, consulting specialists, and regional market experts will enhance the overall value chain and accelerate innovation. Cultivating an environment where interdisciplinary approaches flourish is essential to creating solutions that are robust, versatile, and industry compliant.

Moreover, continual market segmentation analysis is invaluable for understanding evolving consumer behavior, regional regulatory shifts, and technology adoption trends. Decision-makers must consider tailored strategies that address the unique requirements of diverse sectors, such as automotive, healthcare, and retail. This targeted approach enables leaders to identify and tap into niche segments where AI image recognition can yield maximum impact.

In addition to internal strategy adjustments, investing in talent development and fostering a culture of innovation is paramount. Encouraging teams to adopt agile methodologies and remain open to iterative improvements can greatly enhance product development cycles. Ultimately, by aligning technological investments with long-term business goals, leading organizations can not only adapt to changing market dynamics but also set new benchmarks in performance and customer satisfaction.

Conclusion: Summarizing the Strategic Landscape of AI Image Recognition

In summary, the current landscape of AI image recognition reveals a market characterized by significant technological evolution, competitive innovation, and rigorous segmentation strategies. The journey from rudimentary imaging systems to sophisticated, integrated solutions highlights a transformative period marked by a relentless drive for enhanced precision and operational efficiency.

This analysis underscores the critical roles played by advanced hardware, innovative software, and specialized services, each contributing uniquely to the overall success of image recognition implementations. It paints a picture of a dynamic ecosystem where breakthrough technologies in code, facial, object, optical, and pattern recognition are constantly challenging traditional limits. The detailed segmentation across applications, from augmented reality to security and surveillance, reflects the broad applicability of these solutions across diverse industries such as automotive, finance, healthcare, and retail.

Regional trends emphasize the varied adoption rates and strategic priorities across the Americas, Europe, the Middle East and Africa, and the Asia-Pacific, while the competitive landscape is enriched by technology leaders who continue to raise the bar. In this rapidly transforming environment, organizations that invest in innovation, agile deployment models, and strategic partnerships will be best positioned to capture emerging opportunities while driving market advancements.

The insights drawn here serve as a valuable foundation for any stakeholder looking to understand the potential and challenges of the AI image recognition market. By synthesizing detailed segmentation data, actionable recommendations, and regional and company-specific trends, the discussion provides a holistic view that empowers decision-makers to make informed, strategic choices in a highly competitive industry.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing demand for smart homes and IoT devices among consumers
      • 5.1.1.2. Rising deployment in security systems for biometric identification
      • 5.1.1.3. Increased integration of AI image recognition across industries
    • 5.1.2. Restraints
      • 5.1.2.1. Lack of explainability & interpretability issues
    • 5.1.3. Opportunities
      • 5.1.3.1. Advancements in deep learning algorithms and techniques
      • 5.1.3.2. Widespread potential for AI in wildlife conservation through advanced image-based monitoring techniques
    • 5.1.4. Challenges
      • 5.1.4.1. Concerns regarding data privacy and security
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Proliferating preference for consulting services for enhancing adaptability of AI systems
    • 5.2.2. Application: Increased adoption of AI image recognition in the marketing & advertising sector
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. AI Image Recognition Market, by Component

  • 6.1. Introduction
  • 6.2. Hardware
    • 6.2.1. Cameras
    • 6.2.2. Processors
    • 6.2.3. Sensors
  • 6.3. Services
    • 6.3.1. Consulting Services
    • 6.3.2. Deployment Services
    • 6.3.3. Integration Services
  • 6.4. Software
    • 6.4.1. Analytics Tools
    • 6.4.2. Image Processing Software
    • 6.4.3. Machine Learning Algorithms

7. AI Image Recognition Market, by Technology

  • 7.1. Introduction
  • 7.2. Code Recognition
  • 7.3. Facial Recognition
  • 7.4. Object Recognition
  • 7.5. Optical Character Recognition
  • 7.6. Pattern Recognition

8. AI Image Recognition Market, by Application

  • 8.1. Introduction
  • 8.2. Augmented Reality
  • 8.3. Image Search
  • 8.4. Marketing & Advertising
  • 8.5. Scanning & Imaging
  • 8.6. Security & Surveillance

9. AI Image Recognition Market, by End User Industry

  • 9.1. Introduction
  • 9.2. Automotive
  • 9.3. Banking, Financial Services & Insurance
  • 9.4. Entertainment & Media
  • 9.5. Healthcare
  • 9.6. Manufacturing
  • 9.7. Retail

10. AI Image Recognition Market, by Deployment Mode

  • 10.1. Introduction
  • 10.2. Cloud-Based
  • 10.3. On-Premise

11. Americas AI Image Recognition Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific AI Image Recognition Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa AI Image Recognition Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2024
  • 14.2. FPNV Positioning Matrix, 2024
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. Amazon and Anthropic deepen strategic collaboration
    • 14.3.2. Clarifai partners with Crimson Phoenix to advance AI-driven data labeling for defense intelligence
    • 14.3.3. Samsung unveiled its 'AI for All' vision to enhance device connectivity
    • 14.3.4. Panasonic Holdings developed an innovative image recognition AI using a new classification algorithm
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Airy3D Inc.
  • 2. Amazon Web Services, Inc.
  • 3. Anthropic PBC
  • 4. Blippar Group Limited
  • 5. Clarifai, Inc.
  • 6. Cognitec Systems
  • 7. DataRobot, Inc.
  • 8. Delaware corporation
  • 9. Fritz Labs Inc.
  • 10. Google LLC by Alphabet Inc.
  • 11. Honeywell International Inc.
  • 12. Huawei Cloud Computing Technologies Co., Ltd.
  • 13. Infrrd Inc.
  • 14. Intel Corporation
  • 15. International Business Machines Corporation
  • 16. iProov Ltd
  • 17. MERCURIO PLATFORM, S.L.
  • 18. Microsoft Corporation
  • 19. Monolith AI Ltd.
  • 20. NEC Corporation
  • 21. Nvidia Corporation
  • 22. Oracle Corporation
  • 23. Panasonic Holdings Co., Ltd.
  • 24. Qualcomm Technologies, Inc.
  • 25. Snap2Insight Inc.
  • 26. Standard Cognition, Corp
  • 27. Toshiba Corporation
  • 28. Trax Technology Solutions Pte Ltd.
  • 29. Vispera Information Technologies
  • 30. Ximilar s.r.o.

LIST OF FIGURES

  • FIGURE 1. AI IMAGE RECOGNITION MARKET MULTI-CURRENCY
  • FIGURE 2. AI IMAGE RECOGNITION MARKET MULTI-LANGUAGE
  • FIGURE 3. AI IMAGE RECOGNITION MARKET RESEARCH PROCESS
  • FIGURE 4. AI IMAGE RECOGNITION MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 19. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 21. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 25. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. AI IMAGE RECOGNITION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 27. AI IMAGE RECOGNITION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. AI IMAGE RECOGNITION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. AI IMAGE RECOGNITION MARKET DYNAMICS
  • TABLE 7. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY CAMERAS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY PROCESSORS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY SENSORS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY INTEGRATION SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY ANALYTICS TOOLS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY IMAGE PROCESSING SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY CODE RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY OBJECT RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY OPTICAL CHARACTER RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY PATTERN RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY AUGMENTED REALITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY IMAGE SEARCH, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY MARKETING & ADVERTISING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY SCANNING & IMAGING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY SECURITY & SURVEILLANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 36. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 37. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY BANKING, FINANCIAL SERVICES & INSURANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 38. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY ENTERTAINMENT & MEDIA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 39. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 40. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 41. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 42. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 43. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 44. GLOBAL AI IMAGE RECOGNITION MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 45. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 46. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 47. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 48. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 49. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 50. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 51. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 52. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 53. AMERICAS AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 54. ARGENTINA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 55. ARGENTINA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 56. ARGENTINA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 57. ARGENTINA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 58. ARGENTINA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 59. ARGENTINA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 60. ARGENTINA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 61. ARGENTINA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 62. BRAZIL AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 63. BRAZIL AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 64. BRAZIL AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 65. BRAZIL AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 66. BRAZIL AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 67. BRAZIL AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 68. BRAZIL AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 69. BRAZIL AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 70. CANADA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 71. CANADA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 72. CANADA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 73. CANADA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 74. CANADA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 75. CANADA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 76. CANADA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 77. CANADA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 78. MEXICO AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 79. MEXICO AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 80. MEXICO AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 81. MEXICO AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 82. MEXICO AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 83. MEXICO AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 84. MEXICO AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 85. MEXICO AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 86. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 87. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 88. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 89. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 90. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 91. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 92. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 93. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 94. UNITED STATES AI IMAGE RECOGNITION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 95. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 96. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 97. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 98. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 99. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 100. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 102. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 103. ASIA-PACIFIC AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 104. AUSTRALIA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 105. AUSTRALIA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 106. AUSTRALIA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 107. AUSTRALIA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 108. AUSTRALIA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 109. AUSTRALIA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 110. AUSTRALIA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 111. AUSTRALIA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 112. CHINA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 113. CHINA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 114. CHINA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 115. CHINA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 116. CHINA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 117. CHINA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 118. CHINA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 119. CHINA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 120. INDIA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 121. INDIA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 122. INDIA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 123. INDIA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 124. INDIA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 125. INDIA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 126. INDIA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 127. INDIA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 128. INDONESIA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 129. INDONESIA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 130. INDONESIA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 131. INDONESIA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 132. INDONESIA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 133. INDONESIA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 134. INDONESIA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 135. INDONESIA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 136. JAPAN AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 137. JAPAN AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 138. JAPAN AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 139. JAPAN AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 140. JAPAN AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 141. JAPAN AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 142. JAPAN AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 143. JAPAN AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 144. MALAYSIA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 145. MALAYSIA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 146. MALAYSIA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 147. MALAYSIA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 148. MALAYSIA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 149. MALAYSIA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 150. MALAYSIA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 151. MALAYSIA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 152. PHILIPPINES AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 153. PHILIPPINES AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 154. PHILIPPINES AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 155. PHILIPPINES AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 156. PHILIPPINES AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 157. PHILIPPINES AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 158. PHILIPPINES AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 159. PHILIPPINES AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 160. SINGAPORE AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 161. SINGAPORE AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 162. SINGAPORE AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 163. SINGAPORE AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 164. SINGAPORE AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 165. SINGAPORE AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 166. SINGAPORE AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 167. SINGAPORE AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 168. SOUTH KOREA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 169. SOUTH KOREA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 170. SOUTH KOREA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 171. SOUTH KOREA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 172. SOUTH KOREA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 173. SOUTH KOREA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 174. SOUTH KOREA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 175. SOUTH KOREA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 176. TAIWAN AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 177. TAIWAN AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 178. TAIWAN AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 179. TAIWAN AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 180. TAIWAN AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 181. TAIWAN AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 182. TAIWAN AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 183. TAIWAN AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 184. THAILAND AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 185. THAILAND AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 186. THAILAND AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 187. THAILAND AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 188. THAILAND AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 189. THAILAND AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 190. THAILAND AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 191. THAILAND AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 192. VIETNAM AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 193. VIETNAM AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 194. VIETNAM AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 195. VIETNAM AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 196. VIETNAM AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 197. VIETNAM AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 198. VIETNAM AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 199. VIETNAM AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 200. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 201. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 202. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 203. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 204. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 205. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 206. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 207. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 208. EUROPE, MIDDLE EAST & AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 209. DENMARK AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 210. DENMARK AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 211. DENMARK AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 212. DENMARK AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 213. DENMARK AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 214. DENMARK AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 215. DENMARK AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 216. DENMARK AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 217. EGYPT AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 218. EGYPT AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 219. EGYPT AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 220. EGYPT AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 221. EGYPT AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 222. EGYPT AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 223. EGYPT AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 224. EGYPT AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 225. FINLAND AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 226. FINLAND AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 227. FINLAND AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 228. FINLAND AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 229. FINLAND AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 230. FINLAND AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 231. FINLAND AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 232. FINLAND AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 233. FRANCE AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 234. FRANCE AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 235. FRANCE AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 236. FRANCE AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 237. FRANCE AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 238. FRANCE AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 239. FRANCE AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 240. FRANCE AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 241. GERMANY AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 242. GERMANY AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 243. GERMANY AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 244. GERMANY AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 245. GERMANY AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 246. GERMANY AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 247. GERMANY AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 248. GERMANY AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 249. ISRAEL AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 250. ISRAEL AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 251. ISRAEL AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 252. ISRAEL AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 253. ISRAEL AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 254. ISRAEL AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 255. ISRAEL AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 256. ISRAEL AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 257. ITALY AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 258. ITALY AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 259. ITALY AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 260. ITALY AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 261. ITALY AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 262. ITALY AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 263. ITALY AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 264. ITALY AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 265. NETHERLANDS AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 266. NETHERLANDS AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 267. NETHERLANDS AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 268. NETHERLANDS AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 269. NETHERLANDS AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 270. NETHERLANDS AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 271. NETHERLANDS AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 272. NETHERLANDS AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 273. NIGERIA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 274. NIGERIA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 275. NIGERIA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 276. NIGERIA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 277. NIGERIA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 278. NIGERIA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 279. NIGERIA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 280. NIGERIA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 281. NORWAY AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 282. NORWAY AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 283. NORWAY AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 284. NORWAY AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 285. NORWAY AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 286. NORWAY AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 287. NORWAY AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 288. NORWAY AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 289. POLAND AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 290. POLAND AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 291. POLAND AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 292. POLAND AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 293. POLAND AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 294. POLAND AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 295. POLAND AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 296. POLAND AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 297. QATAR AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 298. QATAR AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 299. QATAR AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 300. QATAR AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 301. QATAR AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 302. QATAR AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 303. QATAR AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 304. QATAR AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 305. RUSSIA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 306. RUSSIA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 307. RUSSIA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 308. RUSSIA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 309. RUSSIA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 310. RUSSIA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 311. RUSSIA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 312. RUSSIA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 313. SAUDI ARABIA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 314. SAUDI ARABIA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 315. SAUDI ARABIA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 316. SAUDI ARABIA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 317. SAUDI ARABIA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 318. SAUDI ARABIA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 319. SAUDI ARABIA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 320. SAUDI ARABIA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 321. SOUTH AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 322. SOUTH AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 323. SOUTH AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 324. SOUTH AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 325. SOUTH AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 326. SOUTH AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 327. SOUTH AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 328. SOUTH AFRICA AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 329. SPAIN AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 330. SPAIN AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 331. SPAIN AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 332. SPAIN AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 333. SPAIN AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 334. SPAIN AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 335. SPAIN AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 336. SPAIN AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 337. SWEDEN AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 338. SWEDEN AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 339. SWEDEN AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 340. SWEDEN AI IMAGE RECOGNITION MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 341. SWEDEN AI IMAGE RECOGNITION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 342. SWEDEN AI IMAGE RECOGNITION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 343. SWEDEN AI IMAGE RECOGNITION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 344. SWEDEN AI IMAGE RECOGNITION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 345. SWITZERLAND AI IMAGE RECOGNITION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 346. SWITZERLAND AI IMAGE RECOGNITION MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 347. SWITZERLAND AI IMAGE RECOGNITION MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 348. SWITZERLAND