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市场调查报告书
商品编码
1611938

人工智慧边缘运算市场：按组件、资料来源、应用程式和最终用户划分 - 2025-2030 年全球预测

AI Edge Computing Market by Component (Hardware, Services, Software), Data Source (Biometric Data, Mobile Data, Sensor Data), Application, End-User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 189 Pages | 商品交期: 最快1-2个工作天内

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2023年AI边缘运算市场规模预计为221.3亿美元，预计2024年将达到267.3亿美元，复合年增长率为21.44%，到2030年将达到862.4亿美元。

AI边缘运算是指在本地部署人工智慧应用程序，更靠近最终用户设备和资料来源，而不是依赖集中式云端处理。由于对即时资料处理、减少延迟和增强隐私的需求不断增加，这种方法至关重要。边缘人工智慧在自动驾驶汽车、医疗保健、智慧家庭和工业自动化等多个领域都有应用。製造、通讯和零售等最终用户产业正在大力投资边缘人工智慧技术，以利用增强资料主权和降低频宽成本等优势。该市场受到人工智慧演算法快速进步、物联网设备激增以及边缘设备运算能力不断增强等因素的显着推动。开发针对利基市场的客製化人工智慧解决方案存在机会，开发人员可以利用开放原始码人工智慧边缘平台或开发专用硬体来获得竞争优势。然而，市场面临人工智慧边缘解决方案与现有IT基础设施整合的复杂性、资料安全问题以及实施成本高等挑战。为了克服这些限制，企业应优先与 IT 和网路安全公司合作，以加强其边缘人工智慧网路。研究和开发应着重于提高人工智慧模型在受限边缘设备上的效率、增强互通性并确保强有力的资料保护措施。高能源效率处理器、边缘人工智慧硬体加速器和联邦学习框架的创新是有前景的业务成长领域。市场本质上是动态和竞争的，需要不断适应，因为新兴企业和老牌公司投入资源来开发尖端解决方案。企业需要随时了解这些技术进步和监管变化，才能有效利用新趋势。透过专注于个人化和可扩展的边缘人工智慧应用领域，公司可以在这个不断发展的领域中取得长期成功。

主要市场统计
基准年[2023] 221.3亿美元
预计年份 [2024] 267.3亿美元
预测年份 [2030] 862.4亿美元
复合年增长率（%） 21.44%

市场动态：揭示快速发展的人工智慧边缘运算市场的关键市场洞察

供需的动态交互作用正在改变人工智慧边缘运算市场。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，同时消费行为及其对製造成本的影响以及对采购趋势的影响。

  • 市场驱动因素
    • 消费者对智慧型设备的偏好不断增加
    • 全球数位基础设施中预测性维护的采用率不断增加
    • 企业需要提高成本和业务效率
  • 市场限制因素
    • 大量资料产生导致的延迟问题
  • 市场机会
    • 投资各终端用户产业的人工智慧边缘运算集成
    • 采用AI边缘运算实现智慧城市的智慧交通控制与停车通讯
  • 市场挑战
    • 与人工智慧边缘运算相关的资料隐私和安全问题

波特五力：驾驭人工智慧边缘运算市场的策略工具

波特五力框架是了解人工智慧边缘运算市场竞争格局的关键工具。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：了解AI边缘运算市场的外部影响

外部宏观环境因素在塑造AI边缘运算市场的效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 了解AI边缘运算市场竞争格局

对AI边缘运算市场的详细市场占有率分析可以对供应商绩效进行全面评估。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其竞争地位。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。

FPNV定位矩阵AI边缘运算市场厂商绩效评估

FPNV定位矩阵是评估AI边缘运算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，并确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析和建议描绘了人工智慧边缘运算市场的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对人工智慧边缘运算市场的策略分析至关重要。透过审查关键资源、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：详细检视当前市场环境、主要企业的广泛资料、评估其在市场中的影响力和整体影响力。

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，以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
      • 消费者对智慧型设备的偏好不断增加
      • 全球数位基础设施中预测性维护的采用不断增加
      • 企业对成本和业务效率的需求
    • 抑制因素
      • 大量资料产生导致的延迟问题
    • 机会
      • 将人工智慧边缘运算整合到各个最终用户产业的投资
      • 采用AI边缘运算实现智慧城市的智慧交通控制与停车通讯
    • 任务
      • 与人工智慧边缘运算相关的资料隐私和安全问题
  • 市场区隔分析
    • 组件：扩展软体组件的使用以进行即时分析
    • 资料来源：不断增长的行动资料需求

第 5 章 2.3. 应用：

    • 最终用户：增加 IT 和通讯部门的使用率，以优化网路运营并改善客户体验
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章人工智慧边缘运算市场：按组成部分

  • 硬体
  • 服务
  • 软体

第七章人工智慧边缘运算市场（按资料来源）

  • 生物识别资料
  • 行动资料
  • 感测器资料

第八章人工智慧边缘运算市场：按应用分类

  • 存取管理
  • 自动驾驶汽车
  • 能源管理
  • 远端监控和预测性维护
  • 遥测
  • 视讯监控

第 9 章 AI 边缘运算市场：依最终用户划分

  • 车
  • 能源/公共产业
  • 政府和公共
  • 卫生保健
  • 资讯科技和通讯
  • 製造业

第十章 美洲AI边缘运算市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十一章 亚太地区AI边缘运算市场

  • 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

第十二章欧洲、中东和非洲AI边缘运算市场

  • 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

第十三章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
    • EdgeCortix 筹集 2000 万美元用于技术开发和全球扩张
    • 联想提供边缘人工智慧，为资料带来下一代智能
    • Unigen推出紧凑型边缘AI运算解决方案
  • 战略分析和建议

公司名单

  • ABB Ltd.
  • ADLINK Technology Inc.
  • Advantech Co., Ltd.
  • Akamai Technologies, Inc.
  • Amazon Web Services, Inc.
  • Atos SE
  • Broadcom Inc.
  • Cisco Systems, Inc.
  • Cloudera, Inc.
  • Dell Inc.
  • EdgeConneX, Inc.
  • EdgeCortix, Inc.
  • Fastly, Inc.
  • General Electric Company
  • Hewlett Packard Enterprise Development LP
  • Honeywell International Inc.
  • Huawei Technologies Co., Ltd.
  • Intel Corporation
  • International Business Machines Corporation
  • Lenovo Group Limited
  • Microsoft Corporation
  • NVIDIA Corporation
  • Robert Bosch GmbH
  • Rockwell Automation, Inc.
  • SAP SE
  • Schneider Electric SE
  • Siemens AG
  • Sterlite Technologies Limited
  • Tata Elxsi Limited
  • Teksun Inc.
  • Telefonaktiebolaget LM Ericsson
  • Unigen Corporation
Product Code: MRR-742BD517A299

The AI Edge Computing Market was valued at USD 22.13 billion in 2023, expected to reach USD 26.73 billion in 2024, and is projected to grow at a CAGR of 21.44%, to USD 86.24 billion by 2030.

AI edge computing refers to the deployment of artificial intelligence applications locally on end-user devices or near data sources rather than relying on centralized cloud computing infrastructure. This approach is vital due to the growing demand for real-time data processing, reduced latency, and enhanced privacy. Edge AI finds applications in various sectors, including autonomous vehicles, healthcare, smart homes, and industrial automation. End-user sectors such as manufacturing, telecommunications, and retail are heavily investing in edge AI technologies to leverage benefits like increased data sovereignty and reduced bandwidth costs. The market is prominently driven by factors such as rapid advances in AI algorithms, the proliferation of IoT devices, and enhanced computing power of edge devices. Opportunities exist in developing tailored AI solutions that cater specifically to niche markets-developers can exploit open-source AI edge platforms or create specialized hardware to gain competitive advantage. However, the market faces challenges such as the complexity of integrating AI edge solutions with existing IT infrastructure, data security concerns, and the high cost of implementation. To overcome these limitations, businesses should prioritize partnerships with IT and cybersecurity firms to fortify edge AI networks. Research and development should focus on improving the efficiency of AI models on constrained edge devices, enhancing interoperability, and ensuring robust data protection measures. Innovations in power-efficient processors, edge AI hardware accelerators, and federated learning frameworks are promising areas for business growth. The market, inherently dynamic and competitive, requires continuous adaptation as new startups and established tech giants alike pour resources into developing cutting-edge edge solutions. Companies must stay updated with these tech advancements and regulatory changes to capitalize on emerging trends effectively. By concentrating on areas of personalized and scalable edge AI applications, businesses can steer toward long-term success in this evolving space.

KEY MARKET STATISTICS
Base Year [2023] USD 22.13 billion
Estimated Year [2024] USD 26.73 billion
Forecast Year [2030] USD 86.24 billion
CAGR (%) 21.44%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving AI Edge Computing Market

The AI 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
    • Growing customer inclination toward smart devices
    • Increasing adoption of predictive maintenance in digital infrastructure worldwide
    • Need for cost and operational efficiency in enterprises
  • Market Restraints
    • Latency issues due to massive data generation
  • Market Opportunities
    • Investments to integrate AI edge computing in various end-user industries
    • Adoption of AI edge computing in smart cities for intelligent traffic controls and parking communications
  • Market Challenges
    • Data privacy and security concerns associated with AI Edge computing

Porter's Five Forces: A Strategic Tool for Navigating the AI Edge Computing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the AI 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 AI Edge Computing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the AI 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 AI Edge Computing Market

A detailed market share analysis in the AI 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 AI Edge Computing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the AI 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 AI Edge Computing Market

A strategic analysis of the AI 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 AI Edge Computing Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., ADLINK Technology Inc., Advantech Co., Ltd., Akamai Technologies, Inc., Amazon Web Services, Inc., Atos SE, Broadcom Inc., Cisco Systems, Inc., Cloudera, Inc., Dell Inc., EdgeConneX, Inc., EdgeCortix, Inc., Fastly, Inc., General Electric Company, Hewlett Packard Enterprise Development LP, Honeywell International Inc., Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Lenovo Group Limited, Microsoft Corporation, NVIDIA Corporation, Robert Bosch GmbH, Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, Sterlite Technologies Limited, Tata Elxsi Limited, Teksun Inc., Telefonaktiebolaget LM Ericsson, and Unigen Corporation.

Market Segmentation & Coverage

This research report categorizes the AI 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 Data Source, market is studied across Biometric Data, Mobile Data, and Sensor Data.
  • Based on Application, market is studied across Access Management, Autonomous Vehicles, Energy Management, Remote Monitoring & Predictive Maintenance, Telemetry, and Video Surveillance.
  • Based on End-User, market is studied across Automotive, Energy & Utilities, Government & Public, Healthcare, IT & Telecom, and Manufacturing.
  • 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. Growing customer inclination toward smart devices
      • 5.1.1.2. Increasing adoption of predictive maintenance in digital infrastructure worldwide
      • 5.1.1.3. Need for cost and operational efficiency in enterprises
    • 5.1.2. Restraints
      • 5.1.2.1. Latency issues due to massive data generation
    • 5.1.3. Opportunities
      • 5.1.3.1. Investments to integrate AI edge computing in various end-user industries
      • 5.1.3.2. Adoption of AI edge computing in smart cities for intelligent traffic controls and parking communications
    • 5.1.4. Challenges
      • 5.1.4.1. Data privacy and security concerns associated with AI Edge computing
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Expanding usage of software components for real-time analytics
    • 5.2.2. Data Source: Increasing demand for mobile data to creat

5.2.3. Application:

    • 5.2.4. End-User: Growing utilization by IT and telecommunication sector to optimize network operations and enhance customer experience
  • 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 Edge Computing Market, by Component

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

7. AI Edge Computing Market, by Data Source

  • 7.1. Introduction
  • 7.2. Biometric Data
  • 7.3. Mobile Data
  • 7.4. Sensor Data

8. AI Edge Computing Market, by Application

  • 8.1. Introduction
  • 8.2. Access Management
  • 8.3. Autonomous Vehicles
  • 8.4. Energy Management
  • 8.5. Remote Monitoring & Predictive Maintenance
  • 8.6. Telemetry
  • 8.7. Video Surveillance

9. AI Edge Computing Market, by End-User

  • 9.1. Introduction
  • 9.2. Automotive
  • 9.3. Energy & Utilities
  • 9.4. Government & Public
  • 9.5. Healthcare
  • 9.6. IT & Telecom
  • 9.7. Manufacturing

10. Americas AI Edge Computing Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific AI Edge Computing Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa AI Edge Computing Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. EdgeCortix Raises USD 20 Million for Technology Development and Global Expansion
    • 13.3.2. Lenovo Delivers AI at the Edge, Bringing Next Generation Intelligence to Data
    • 13.3.3. Unigen Launches Compact Edge AI Computing Solutions
  • 13.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. ABB Ltd.
  • 2. ADLINK Technology Inc.
  • 3. Advantech Co., Ltd.
  • 4. Akamai Technologies, Inc.
  • 5. Amazon Web Services, Inc.
  • 6. Atos SE
  • 7. Broadcom Inc.
  • 8. Cisco Systems, Inc.
  • 9. Cloudera, Inc.
  • 10. Dell Inc.
  • 11. EdgeConneX, Inc.
  • 12. EdgeCortix, Inc.
  • 13. Fastly, Inc.
  • 14. General Electric Company
  • 15. Hewlett Packard Enterprise Development LP
  • 16. Honeywell International Inc.
  • 17. Huawei Technologies Co., Ltd.
  • 18. Intel Corporation
  • 19. International Business Machines Corporation
  • 20. Lenovo Group Limited
  • 21. Microsoft Corporation
  • 22. NVIDIA Corporation
  • 23. Robert Bosch GmbH
  • 24. Rockwell Automation, Inc.
  • 25. SAP SE
  • 26. Schneider Electric SE
  • 27. Siemens AG
  • 28. Sterlite Technologies Limited
  • 29. Tata Elxsi Limited
  • 30. Teksun Inc.
  • 31. Telefonaktiebolaget LM Ericsson
  • 32. Unigen Corporation

LIST OF FIGURES

  • FIGURE 1. AI EDGE COMPUTING MARKET RESEARCH PROCESS
  • FIGURE 2. AI EDGE COMPUTING MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL AI EDGE COMPUTING MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 17. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. AI EDGE COMPUTING MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 23. AI EDGE COMPUTING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. AI EDGE COMPUTING MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL AI EDGE COMPUTING MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. AI EDGE COMPUTING MARKET DYNAMICS
  • TABLE 7. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY BIOMETRIC DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY MOBILE DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY SENSOR DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY ACCESS MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY AUTONOMOUS VEHICLES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY ENERGY MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY REMOTE MONITORING & PREDICTIVE MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY TELEMETRY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY VIDEO SURVEILLANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY GOVERNMENT & PUBLIC, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY IT & TELECOM, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL AI EDGE COMPUTING MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 32. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 33. AMERICAS AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 36. ARGENTINA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 37. ARGENTINA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 39. BRAZIL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 40. BRAZIL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 41. BRAZIL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 42. CANADA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 43. CANADA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 44. CANADA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 45. CANADA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 46. MEXICO AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 47. MEXICO AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 48. MEXICO AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 49. MEXICO AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 50. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 51. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 52. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 53. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 54. UNITED STATES AI EDGE COMPUTING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 55. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 56. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 57. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 58. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 59. ASIA-PACIFIC AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 60. AUSTRALIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 61. AUSTRALIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 62. AUSTRALIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 63. AUSTRALIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 64. CHINA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 65. CHINA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 66. CHINA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 67. CHINA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 68. INDIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 69. INDIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 70. INDIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 71. INDIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 72. INDONESIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 73. INDONESIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 74. INDONESIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 75. INDONESIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 76. JAPAN AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 77. JAPAN AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 78. JAPAN AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 79. JAPAN AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 80. MALAYSIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 81. MALAYSIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 82. MALAYSIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 83. MALAYSIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 84. PHILIPPINES AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 85. PHILIPPINES AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 86. PHILIPPINES AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 87. PHILIPPINES AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 88. SINGAPORE AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 89. SINGAPORE AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 90. SINGAPORE AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 91. SINGAPORE AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 92. SOUTH KOREA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 93. SOUTH KOREA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 94. SOUTH KOREA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 95. SOUTH KOREA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 96. TAIWAN AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 97. TAIWAN AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 98. TAIWAN AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 99. TAIWAN AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 100. THAILAND AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 101. THAILAND AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 102. THAILAND AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 103. THAILAND AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 104. VIETNAM AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 105. VIETNAM AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 106. VIETNAM AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 107. VIETNAM AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 108. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 109. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 110. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 111. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 112. EUROPE, MIDDLE EAST & AFRICA AI EDGE COMPUTING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 113. DENMARK AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 114. DENMARK AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 115. DENMARK AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 116. DENMARK AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 117. EGYPT AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 118. EGYPT AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 119. EGYPT AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 120. EGYPT AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 121. FINLAND AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 122. FINLAND AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 123. FINLAND AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 124. FINLAND AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 125. FRANCE AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 126. FRANCE AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 127. FRANCE AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 128. FRANCE AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 129. GERMANY AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 130. GERMANY AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 131. GERMANY AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 132. GERMANY AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 133. ISRAEL AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 134. ISRAEL AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 135. ISRAEL AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 136. ISRAEL AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 137. ITALY AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 138. ITALY AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 139. ITALY AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 140. ITALY AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 141. NETHERLANDS AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 142. NETHERLANDS AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 143. NETHERLANDS AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 144. NETHERLANDS AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 145. NIGERIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 146. NIGERIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 147. NIGERIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 148. NIGERIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 149. NORWAY AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 150. NORWAY AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 151. NORWAY AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 152. NORWAY AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 153. POLAND AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 154. POLAND AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 155. POLAND AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 156. POLAND AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 157. QATAR AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 158. QATAR AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 159. QATAR AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 160. QATAR AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 161. RUSSIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 162. RUSSIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 163. RUSSIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 164. RUSSIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 165. SAUDI ARABIA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 166. SAUDI ARABIA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 167. SAUDI ARABIA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 168. SAUDI ARABIA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 169. SOUTH AFRICA AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 170. SOUTH AFRICA AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 171. SOUTH AFRICA AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 172. SOUTH AFRICA AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 173. SPAIN AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 174. SPAIN AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 175. SPAIN AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 176. SPAIN AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 177. SWEDEN AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 178. SWEDEN AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 179. SWEDEN AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 180. SWEDEN AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 181. SWITZERLAND AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 182. SWITZERLAND AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 183. SWITZERLAND AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 184. SWITZERLAND AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 185. TURKEY AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 186. TURKEY AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 187. TURKEY AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 188. TURKEY AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 189. UNITED ARAB EMIRATES AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 190. UNITED ARAB EMIRATES AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 191. UNITED ARAB EMIRATES AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 192. UNITED ARAB EMIRATES AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 193. UNITED KINGDOM AI EDGE COMPUTING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 194. UNITED KINGDOM AI EDGE COMPUTING MARKET SIZE, BY DATA SOURCE, 2018-2030 (USD MILLION)
  • TABLE 195. UNITED KINGDOM AI EDGE COMPUTING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 196. UNITED KINGDOM AI EDGE COMPUTING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 197. AI EDGE COMPUTING MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 198. AI EDGE COMPUTING MARKET, FPNV POSITIONING MATRIX, 2023