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使用邊緣運算的臉部辨識市場：按組件、裝置類型和應用分類 - 2025-2030 年全球預測

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個工作天內

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2023年利用邊緣運算的人臉臉部辨識市場規模為16.2億美元，預計2024年將達到19.6億美元，複合年成長率為20.55%，2030年將達到600億美元。

由邊緣運算支援的臉部辨識整合了兩種最尖端科技，可直接在資料產生的地方提供即時資料處理和分析，從而提高速度和安全性。這種整合的需求源於對在相機和智慧型手機等設備上快速、高效、安全地處理臉部辨識任務的日益成長的需求。其應用範圍廣泛，包括安全和監控、零售分析、醫療保健和個人化服務。最終用戶主要包括執法、企業安全和消費性電子產品等領域。市場受到技術進步、安全問題日益嚴重以及物聯網設備激增等因素的影響。一個關鍵的成長要素是對即時處理的需求，以最大限度地減少延遲並增強決策能力。缺乏集中資料處理基礎設施的發展中地區存在大量機遇，這使得邊緣解決方案更加可行。此外，智慧城市的日益普及將為交通管理和城市安全的創新應用鋪平道路。然而，與雲端解決方案相比，市場面臨資料隱私問題、初始設定成本高以及邊緣設備處理能力有限等挑戰。有關資料使用和保護的監管障礙也構成了重大障礙。為了抓住新的商機，企業應專注於開發高效邊緣演算法和設備間通訊協定的創新，並確保採取強力的網路安全措施來緩解隱私問題。該研究探討了節能硬體和邊緣人工智慧的進步，以促進可擴展的部署。快速的技術發展和監管轉變加劇了市場的動態本質，使得持續的研究和適應變得至關重要。企業必須維持策略夥伴關係、投資研發並靈活應對市場變化，以確保能夠利用技術突破並有效遵守新標準。

主要市場統計
基準年[2023] 16.2億美元
預測年份 [2024] 19.6億美元
預測年份 [2030] 60.2億美元
複合年成長率（%） 20.55%

市場動態：針對使用邊緣運算快速發展的臉部辨識市場揭示的關鍵市場見解

使用邊緣運算的臉部辨識市場正在因供需的動態互動而轉變。了解這些不斷變化的市場動態可以幫助企業做出明智的投資決策、策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，並了解消費行為及其對製造成本的影響，並更清楚地了解對採購趨勢的影響。

  • 市場促進因素
    • 使用邊緣運算擴大臉部辨識的採用
    • 擴大採用範圍以解決臉部辨識應用中特定於延遲的問題
    • 為即時和智慧應用做好準備
  • 市場限制因素
    • 安全和用戶移動性問題
  • 市場機會
    • 無縫、個人化的體驗可改善業務流程
    • 增強與人工智慧無人機和視訊監控的整合
  • 市場挑戰
    • 嵌入式設備的技術與運算問題

波特五力：利用邊緣運算開拓臉部辨識市場的策略工具

波特的五力框架是了解邊緣運算驅動的臉部辨識辨識市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：利用邊緣運算了解臉部辨識市場的外部影響

外部宏觀環境因素在塑造邊緣運算驅動的臉部辨識市場的性能動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並幫助他們做出積極主動的決策。

市場佔有率分析 利用邊緣運算了解臉部辨識市場的競爭狀況

邊緣運算臉部辨識市場的詳細市場佔有率分析提供了對供應商績效的全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示自己的競爭定位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

利用FPNV定位矩陣邊緣運算對臉部辨識市場廠商進行績效評估

FPNV定位矩陣是評估邊緣運算驅動的臉部辨識市場供應商的重要工具。此矩陣允許業務組織根據商務策略和產品滿意度評估供應商，從而做出與其目標相符的明智決策。這四個象限使您能夠清晰、準確地分類供應商，以確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析和建議利用邊緣運算繪製臉部辨識市場的成功之路

使用邊緣運算對臉部辨識市場進行策略分析對於旨在加強其在全球市場的影響力的公司至關重要。透過考慮關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機，並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：對當前市場環境的詳細審查、主要企業的廣泛資料、對其在市場中的影響力和整體影響力的評估。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 使用邊緣運算增加臉部辨識的採用
      • 擴大採用解決臉部辨識應用中特定延遲問題
      • 支援即時智慧應用
    • 抑制因素
      • 安全和用戶移動性問題
    • 機會
      • 無縫、個人化的體驗可改善業務流程
      • 擴大人工智慧無人機和視訊監控的整合
    • 任務
      • 嵌入式設備的技術與運算問題
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章使用邊緣運算的臉部辨識市場：按組成部分

  • 硬體
  • 服務
  • 軟體

第 7 章按裝置類型分類的使用邊緣計算的臉部辨識市場

  • 融合的
  • 獨立的

第 8 章 使用邊緣運算的臉部辨識市場：依應用分類

  • 存取控制
  • 廣告
  • 考勤追蹤和監控
  • 電子學習
  • 情緒識別
  • 執法
  • 支付
  • 機器人技術

第9章美洲使用邊緣運算的臉部辨識市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第10章亞太地區使用邊緣運算的臉部辨識市場

  • 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11章歐洲、中東和非洲使用邊緣運算的臉部辨識市場

  • 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12章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
  • 戰略分析和建議

公司名單

  • 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