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市场调查报告书
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使用边缘运算的脸部辨识市场：按组件、装置类型和应用划分 - 2025-2030 年全球预测

Face Recognition using Edge Computing Market by Component (Hardware, Services, Software), Device Type (Integrated, Standalone), Application - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 197 Pages | 商品交期: 最快1-2个工作天内

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2023年利用边缘运算的人脸脸部辨识市场规模为16.2亿美元，预计2024年将达到19.6亿美元，复合年增长率为20.55%，2030年将达到600亿美元。

由边缘运算支援的脸部辨识整合了两种最尖端科技，可直接在资料产生的地方提供即时资料处理和分析，从而提高速度和安全性。这种整合的需求源于对在相机和智慧型手机等设备上快速、高效、安全地处理脸部辨识任务的日益增长的需求。其应用范围广泛，包括安全和监控、零售分析、医疗保健和个人化服务。最终用户主要包括执法、企业安全和消费性电子产品等领域。市场受到技术进步、安全问题日益严重以及物联网设备激增等因素的影响。一个关键的成长要素是对即时处理的需求，以最大限度地减少延迟并增强决策能力。缺乏集中资料处理基础设施的发展中地区存在大量机会，这使得边缘解决方案更加可行。此外，智慧城市的日益普及将为交通管理和城市安全的创新应用铺平道路。然而，与云端解决方案相比，市场面临资料隐私问题、初始设定成本高以及边缘设备处理能力有限等挑战。有关资料使用和保护的监管障碍也构成了重大障碍。为了抓住新的商机，企业应专注于开发高效边缘演算法和设备间通讯协定的创新，并确保采取强有力的网路安全措施来缓解隐私问题。该研究探讨了节能硬体和边缘人工智慧的进步，以促进可扩展的部署。快速的技术发展和监管转变加剧了市场的动态本质，使得持续的研究和适应变得至关重要。企业必须维持策略伙伴关係、投资研发并灵活应对市场变化，以确保能够利用技术突破并有效遵守新标准。

主要市场统计
基准年[2023] 16.2亿美元
预测年份 [2024] 19.6亿美元
预测年份 [2030] 60.2亿美元
复合年增长率（%） 20.55%

市场动态：针对使用边缘运算快速发展的脸部辨识市场揭示的关键市场见解

使用边缘运算的脸部辨识市场正在因供需的动态互动而转变。了解这些不断变化的市场动态可以帮助企业做出明智的投资决策、策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，并了解消费行为及其对製造成本的影响，并更清楚地了解对采购趋势的影响。

  • 市场驱动因素
    • 使用边缘运算扩大脸部辨识的采用
    • 扩大采用范围以解决脸部辨识应用中特定于延迟的问题
    • 为即时和智慧应用做好准备
  • 市场限制因素
    • 安全和用户移动性问题
  • 市场机会
    • 无缝、个人化的体验可改善业务流程
    • 增强与人工智慧无人机和视讯监控的集成
  • 市场挑战
    • 嵌入式设备的技术与运算问题

波特五力：利用边缘运算开拓脸部辨识市场的策略工具

波特的五力框架是了解边缘运算驱动的脸部辨识辨识市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：利用边缘运算了解脸部辨识市场的外部影响

外部宏观环境因素在塑造边缘运算驱动的脸部辨识市场的性能动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并帮助他们做出积极主动的决策。

市场占有率分析 利用边缘运算了解脸部辨识市场的竞争状况

边缘运算脸部辨识市场的详细市场占有率分析提供了对供应商绩效的全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示自己的竞争定位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

利用FPNV定位矩阵边缘运算对脸部辨识市场厂商进行绩效评估

FPNV定位矩阵是评估边缘运算驱动的脸部辨识市场供应商的重要工具。此矩阵允许业务组织根据商务策略和产品满意度评估供应商，从而做出与其目标相符的明智决策。这四个象限使您能够清晰、准确地划分供应商，以确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析和建议利用边缘运算绘製脸部辨识市场的成功之路

使用边缘运算对脸部辨识市场进行策略分析对于旨在加强其在全球市场的影响力的公司至关重要。透过考虑关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机，并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：对当前市场环境的详细审查、主要企业的广泛资料、对其在市场中的影响力和整体影响力的评估。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 使用边缘运算增加脸部辨识的采用
      • 越来越多地采用解决脸部辨识应用中特定延迟问题
      • 支援即时智慧应用
    • 抑制因素
      • 安全和用户移动性问题
    • 机会
      • 无缝、个人化的体验可改善业务流程
      • 扩大人工智慧无人机和视讯监控的集成
    • 任务
      • 嵌入式设备的技术与运算问题
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章使用边缘运算的脸部辨识市场：按组成部分

  • 硬体
  • 服务
  • 软体

第 7 章按装置类型分類的使用边缘计算的脸部辨识市场

  • 融合的
  • 独立的

第 8 章 使用边缘运算的脸部辨识市场：依应用分类

  • 存取控制
  • 广告
  • 考勤追踪和监控
  • 电子学习
  • 情绪识别
  • 执法
  • 支付
  • 机器人技术

第九章美洲使用边缘运算的脸部辨识市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第10章亚太地区使用边缘运算的脸部辨识市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十一章欧洲、中东和非洲使用边缘运算的脸部辨识市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十二章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
  • 战略分析和建议

公司名单

  • Alphabet, Inc.
  • Arm Holdings
  • Cisco Systems, Inc.
  • Clarifai, Inc.
  • Huawei Technologies Co., Ltd.
  • IDEMIA Group
  • IDEMIA NSS, LLC
  • Innovatrics
  • International Business Machines Corporation
  • Micron Technology, Inc.
  • Microsoft Corporation
  • NEC Corporation by AT&T Inc.
  • NVIDIA Corporation
  • Oosto by AnyVision Interactive Technologies Ltd.
  • Qualcomm Incorporated
  • Samsung Electronics Co., Ltd.
  • Xailient Inc.
Product Code: MRR-031CE94D9BF7

The Face Recognition using Edge Computing Market was valued at USD 1.62 billion in 2023, expected to reach USD 1.96 billion in 2024, and is projected to grow at a CAGR of 20.55%, to USD 6.02 billion by 2030.

Face recognition using edge computing merges two cutting-edge technologies to deliver real-time data processing and analysis directly where data is generated, enhancing speed and security. This integration's necessity arises from the increasing demand for rapid, efficient, and secure processing of facial recognition tasks on devices like cameras and smartphones. Its applications are widespread, spanning across security and surveillance, retail analytics, healthcare, and personalized services. End-users primarily include sectors like law enforcement, enterprise security, and consumer electronics. The market is influenced by factors such as technological advancements, rising security concerns, and the proliferation of IoT devices. A significant growth driver is the demand for real-time processing, which minimizes latency and enhances decision-making. Opportunities abound in developing regions where infrastructure for centralized data processing lags, making edge solutions more viable. Furthermore, the increasing adoption of smart cities paves the way for innovative applications in traffic management and urban security. However, the market faces challenges such as data privacy concerns, high initial setup costs, and limited processing power of edge devices compared to cloud solutions. Regulatory hurdles concerning data use and protection also pose significant barriers. To capture emerging opportunities, businesses should focus on innovation in the development of efficient edge algorithms and inter-device communication protocols, ensuring robust cybersecurity measures to mitigate privacy concerns. Research could explore energy-efficient hardware and edge AI advancements, facilitating scalable deployments. With the market's dynamic nature underscored by rapid tech evolution and regulatory shifts, ongoing research and adaptation are essential. Companies must maintain strategic partnerships, invest in R&D, and remain agile in responses to market transitions, enabling them to leverage technological breakthroughs and adhere to emerging standards effectively.

KEY MARKET STATISTICS
Base Year [2023] USD 1.62 billion
Estimated Year [2024] USD 1.96 billion
Forecast Year [2030] USD 6.02 billion
CAGR (%) 20.55%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Face Recognition using Edge Computing Market

The Face Recognition using Edge Computing Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Increasing adoption of facial recognition using edge computing
    • Growing adoption to resolve latency-specific issues in face recognition applications
    • Succoring real-time and intelligent applications
  • Market Restraints
    • Issues over security and user mobility
  • Market Opportunities
    • Seamless and personalized experience to improve business processes
    • Increasing integration with AI drones and video surveillance
  • Market Challenges
    • Technical and computational issues with embedded device

Porter's Five Forces: A Strategic Tool for Navigating the Face Recognition using Edge Computing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Face Recognition using Edge Computing Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Face Recognition using Edge Computing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Face Recognition using Edge Computing Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Face Recognition using Edge Computing Market

A detailed market share analysis in the Face Recognition using Edge Computing Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Face Recognition using Edge Computing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Face Recognition using Edge Computing Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Face Recognition using Edge Computing Market

A strategic analysis of the Face Recognition using Edge Computing Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Face Recognition using Edge Computing Market, highlighting leading vendors and their innovative profiles. These include Alphabet, Inc., Arm Holdings, Cisco Systems, Inc., Clarifai, Inc., Huawei Technologies Co., Ltd., IDEMIA Group, IDEMIA NSS, LLC, Innovatrics, International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, NEC Corporation by AT&T Inc., NVIDIA Corporation, Oosto by AnyVision Interactive Technologies Ltd., Qualcomm Incorporated, Samsung Electronics Co., Ltd., and Xailient Inc..

Market Segmentation & Coverage

This research report categorizes the Face Recognition using Edge Computing Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Component, market is studied across Hardware, Services, and Software.
  • Based on Device Type, market is studied across Integrated and Standalone.
  • Based on Application, market is studied across Access Control, Advertising, Attendance Tracking & Monitoring, E-Learning, Emotion Recognition, Law Enforcement, Payment, and Robotics.
  • 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.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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. Increasing adoption of facial recognition using edge computing
      • 5.1.1.2. Growing adoption to resolve latency-specific issues in face recognition applications
      • 5.1.1.3. Succoring real-time and intelligent applications
    • 5.1.2. Restraints
      • 5.1.2.1. Issues over security and user mobility
    • 5.1.3. Opportunities
      • 5.1.3.1. Seamless and personalized experience to improve business processes
      • 5.1.3.2. Increasing integration with AI drones and video surveillance
    • 5.1.4. Challenges
      • 5.1.4.1. Technical and computational issues with embedded device
  • 5.2. Market Segmentation Analysis
  • 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. Face Recognition using Edge Computing Market, by Component

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Services
  • 6.4. Software

7. Face Recognition using Edge Computing Market, by Device Type

  • 7.1. Introduction
  • 7.2. Integrated
  • 7.3. Standalone

8. Face Recognition using Edge Computing Market, by Application

  • 8.1. Introduction
  • 8.2. Access Control
  • 8.3. Advertising
  • 8.4. Attendance Tracking & Monitoring
  • 8.5. E-Learning
  • 8.6. Emotion Recognition
  • 8.7. Law Enforcement
  • 8.8. Payment
  • 8.9. Robotics

9. Americas Face Recognition using Edge Computing Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific Face Recognition using Edge Computing Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa Face Recognition using Edge Computing Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2023
  • 12.2. FPNV Positioning Matrix, 2023
  • 12.3. Competitive Scenario Analysis
  • 12.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Alphabet, Inc.
  • 2. Arm Holdings
  • 3. Cisco Systems, Inc.
  • 4. Clarifai, Inc.
  • 5. Huawei Technologies Co., Ltd.
  • 6. IDEMIA Group
  • 7. IDEMIA NSS, LLC
  • 8. Innovatrics
  • 9. International Business Machines Corporation
  • 10. Micron Technology, Inc.
  • 11. Microsoft Corporation
  • 12. NEC Corporation by AT&T Inc.
  • 13. NVIDIA Corporation
  • 14. Oosto by AnyVision Interactive Technologies Ltd.
  • 15. Qualcomm Incorporated
  • 16. Samsung Electronics Co., Ltd.
  • 17. Xailient Inc.

LIST OF FIGURES

  • FIGURE 1. FACE RECOGNITION USING EDGE COMPUTING MARKET RESEARCH PROCESS
  • FIGURE 2. FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 13. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 15. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. FACE RECOGNITION USING EDGE COMPUTING MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 21. FACE RECOGNITION USING EDGE COMPUTING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. FACE RECOGNITION USING EDGE COMPUTING MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. FACE RECOGNITION USING EDGE COMPUTING MARKET DYNAMICS
  • TABLE 7. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY INTEGRATED, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY STANDALONE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY ACCESS CONTROL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY ADVERTISING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY ATTENDANCE TRACKING & MONITORING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY E-LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY EMOTION RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY LAW ENFORCEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY PAYMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY ROBOTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 24. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 25. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 26. AMERICAS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 27. ARGENTINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 28. ARGENTINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 29. ARGENTINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 30. BRAZIL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 31. BRAZIL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 32. BRAZIL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 33. CANADA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 34. CANADA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 35. CANADA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 36. MEXICO FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 37. MEXICO FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 38. MEXICO FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 39. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 40. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 42. UNITED STATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 43. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 44. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 45. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 46. ASIA-PACIFIC FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 47. AUSTRALIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 48. AUSTRALIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. AUSTRALIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 50. CHINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 51. CHINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 52. CHINA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 53. INDIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 54. INDIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. INDIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 56. INDONESIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 57. INDONESIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 58. INDONESIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 59. JAPAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 60. JAPAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 61. JAPAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 62. MALAYSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 63. MALAYSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 64. MALAYSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 65. PHILIPPINES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 66. PHILIPPINES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 67. PHILIPPINES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 68. SINGAPORE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 69. SINGAPORE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 70. SINGAPORE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 71. SOUTH KOREA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 72. SOUTH KOREA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 73. SOUTH KOREA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 74. TAIWAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 75. TAIWAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 76. TAIWAN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 77. THAILAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 78. THAILAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 79. THAILAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 80. VIETNAM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 81. VIETNAM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. VIETNAM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 83. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 84. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 85. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 86. EUROPE, MIDDLE EAST & AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 87. DENMARK FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 88. DENMARK FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 89. DENMARK FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 90. EGYPT FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 91. EGYPT FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. EGYPT FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 93. FINLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 94. FINLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 95. FINLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 96. FRANCE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 97. FRANCE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 98. FRANCE FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 99. GERMANY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 100. GERMANY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 101. GERMANY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 102. ISRAEL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 103. ISRAEL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 104. ISRAEL FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 105. ITALY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 106. ITALY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 107. ITALY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 108. NETHERLANDS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 109. NETHERLANDS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 110. NETHERLANDS FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 111. NIGERIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 112. NIGERIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 113. NIGERIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 114. NORWAY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 115. NORWAY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 116. NORWAY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 117. POLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 118. POLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 119. POLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 120. QATAR FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 121. QATAR FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 122. QATAR FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 123. RUSSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 124. RUSSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 125. RUSSIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 126. SAUDI ARABIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 127. SAUDI ARABIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 128. SAUDI ARABIA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 129. SOUTH AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 130. SOUTH AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 131. SOUTH AFRICA FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 132. SPAIN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 133. SPAIN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 134. SPAIN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 135. SWEDEN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 136. SWEDEN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 137. SWEDEN FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 138. SWITZERLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 139. SWITZERLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 140. SWITZERLAND FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 141. TURKEY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 142. TURKEY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 143. TURKEY FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 144. UNITED ARAB EMIRATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 145. UNITED ARAB EMIRATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 146. UNITED ARAB EMIRATES FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 147. UNITED KINGDOM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 148. UNITED KINGDOM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY DEVICE TYPE, 2018-2030 (USD MILLION)
  • TABLE 149. UNITED KINGDOM FACE RECOGNITION USING EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 150. FACE RECOGNITION USING EDGE COMPUTING MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 151. FACE RECOGNITION USING EDGE COMPUTING MARKET, FPNV POSITIONING MATRIX, 2023