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全球边缘人工智慧市场规模研究，按处理器、组件、来源、最终用途、应用和区域预测 2022-2032

Global Edge Artificial Intelligence Market Size Study, by Processor, by Component, by Source, by End-Use, by Application and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023年全球边缘人工智慧市场价值约为10.6亿美元，预计在2024-2032年预测期内将以超过24.80%的健康成长率成长。边缘人工智慧（AI）是指人工智慧演算法在硬体设备本地处理，无需依赖云端即可实现即时资料处理和决策的系统。这种去中心化的方法是透过将先进的人工智慧和机器学习功能直接整合到智慧型手机、物联网设备和自动驾驶汽车等边缘设备中来实现的，正在各个行业中获得关注。对低延迟处理和即时决策能力的需求激增正在推动边缘人工智慧技术的开发和采用。

物联网设备的激增以及在不使网路频宽过载的情况下从源头处理大量资料的需求进一步推动了对边缘人工智慧解决方案的需求。然而，资料安全和隐私问题等挑战，加上在边缘设备上部署和维护人工智慧模型的复杂性，可能会阻碍市场成长。儘管如此，在半导体技术进步和人工智慧研究投资增加的推动下，医疗保健、汽车和製造领域存在重大机会，从而带来更强大、更高效的边缘人工智慧解决方案。 ASIC 因其高效率和针对特定 AI 演算法的最佳化而受到青睐，使其成为需要即时处理的大容量嵌入式装置的理想选择。 CPU 作为通用处理器，具有灵活性，适合需要复杂决策能力的应用。 GPU 擅长并行处理任务，有利于深度学习、视讯分析和 AI 模型训练，增强其在边缘 AI 应用中的使用。然而，资料安全和隐私问题以及人工智慧模型部署的复杂性将抑制 2024-2032 年预测期内的市场成长。

边缘人工智慧能够即时处理生物辨识、行动、感测器、语音和视讯资料，显着减少延迟并增强隐私。汽车产业利用边缘人工智慧进行自动驾驶、预测性维护和增强用户体验。能源和公用事业利用边缘人工智慧进行电网运作和基础设施维护。在政府和公共部门，边缘人工智慧对于智慧城市计画、公共安全和交通系统至关重要。医疗保健透过病患监测、医学影像分析和医院物流从边缘人工智慧中受益。製造业利用边缘人工智慧进行品质控制、预测性维护和供应链优化，而电信营运商则将其用于网路优化和预测分析。

全球边缘人工智慧市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲、中东和非洲。从地区来看，由于技术创新和物联网设备的普及，北美在边缘人工智慧采用的市场份额中占据主导地位。欧洲、中东和非洲地区的成长是由严格的隐私法规和智慧城市计画推动的，特别是在欧洲和中东。在政府支援、技术进步以及采用边缘人工智慧进行即时流程优化的大型製造基地的推动下，亚太地区预计将出现最快的成长率。

目录

第 1 章：全球边缘人工智慧市场执行摘要

  • 全球边缘人工智慧市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按处理器
    • 按组件
    • 按来源
    • 按最终用途
    • 按申请
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球边缘人工智慧市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包容与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球边缘人工智慧市场动态

  • 市场驱动因素
    • 低延迟处理的需求增加
    • 物联网设备的激增
    • 即时决策能力
  • 市场挑战
    • 资料安全和隐私问题
    • AI模型部署的复杂性
  • 市场机会
    • 医疗保健、汽车和製造领域的智慧应用
    • 半导体技术的进步
    • 增加人工智慧研究的投资

第 4 章：全球边缘人工智慧市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的五力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：2022-2032 年全球边缘人工智慧市场规模及处理器预测

  • 细分仪表板
  • 全球边缘人工智慧市场：2022 年和 2032 年处理器收入趋势分析
    • 专用积体电路
    • 中央处理器
    • 图形处理器

第 6 章：2022-2032 年全球边缘人工智慧市场规模及组成部分预测

  • 细分仪表板
  • 全球边缘人工智慧市场：2022 年和 2032 年组件收入趋势分析
    • 服务
      • 支援与维护
      • 系统整合与测试
      • 培训与咨询
    • 解决方案
      • 平台
      • 软体工具

第 7 章：2022-2032 年全球边缘人工智慧市场规模及来源预测

  • 细分仪表板
  • 全球边缘人工智慧市场：2022 年和 2032 年来源收入趋势分析
    • 生物辨识数据
    • 行动数据
    • 感测器数据
    • 语音辨识
    • 视讯和图像识别

第 8 章：2022-2032 年全球边缘人工智慧市场规模及最终用途预测

  • 细分仪表板
  • 全球边缘人工智慧市场：2022 年和 2032 年最终用途收入趋势分析
    • 汽车
    • 能源和公用事业
    • 政府及公部门
    • 卫生保健
    • 製造业
    • 电信

第 9 章：2022-2032 年全球边缘人工智慧市场规模及应用预测

  • 细分仪表板
  • 全球边缘人工智慧市场：2022 年和 2032 年应用收入趋势分析
    • 存取管理
    • 自动驾驶汽车
    • 能源管理
    • 精准农业
    • 远端监控和预测性维护
    • 智慧型穿戴装置
    • 遥测
    • 视讯监控

第 10 章：2022-2032 年全球边缘人工智慧市场规模及地区预测

  • 北美边缘人工智慧市场
    • 美国边缘人工智慧市场
      • 2022-2032 年型别细分规模与预测
      • 2022-2032 年材料类型细分尺寸与预测
      • 2022-2032 年流量细分规模与预测
      • 2022-2032 年应用细分规模与预测
    • 加拿大边缘人工智慧市场
  • 欧洲边缘人工智慧市场
    • 德国边缘人工智慧市场
    • 英国边缘人工智慧市场
    • 法国边缘人工智慧市场
    • 义大利边缘人工智慧市场
    • 西班牙边缘人工智慧市场
    • 欧洲其他地区的边缘人工智慧市场
  • 亚太边缘人工智慧市场
    • 中国边缘人工智慧市场
    • 日本边缘人工智慧市场
    • 印度边缘人工智慧市场
    • 韩国边缘人工智慧市场
    • 澳洲边缘人工智慧市场
    • 亚太地区其他边缘人工智慧市场
  • 拉丁美洲边缘人工智慧市场
    • 巴西边缘人工智慧市场
    • 墨西哥边缘人工智慧市场
    • 拉丁美洲其他地区的边缘人工智慧市场
  • 中东和非洲边缘人工智慧市场
    • 沙乌地阿拉伯边缘人工智慧市场
    • 南非边缘人工智慧市场
    • LAMEA 边缘人工智慧市场的其余部分

第 11 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • Intel Corporation
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • Google LLC by Alphabet Inc.
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • Hewlett Packard Enterprise Company
    • Lenovo Group Ltd.
    • International Business Machines Corporation
    • NVIDIA Corporation
    • Qualcomm Technologies, Inc.
    • Synaptics Incorporated
    • Adlink Technology, Inc.
    • BrainChip Holdings Ltd.
    • Nutanix, Inc.
    • Cloudera, Inc.
    • EdgeConneX

第 12 章：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

The Global Edge Artificial Intelligence Market is valued approximately at USD 1.06 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 24.80% over the forecast period 2024-2032. Edge artificial intelligence (AI) refers to a system where AI algorithms are processed locally on hardware devices, enabling real-time data processing and decision-making without reliance on the cloud. This decentralized approach, achieved through integrating advanced AI and machine learning capabilities directly into edge devices like smartphones, IoT devices, and autonomous vehicles, is gaining traction across various industries. The surge in demand for low-latency processing and real-time decision-making capabilities is driving the development and adoption of edge AI technology.

The proliferation of IoT devices and the need to process vast amounts of data at the source without overloading network bandwidth further fuel the demand for edge AI solutions. However, challenges such as data security and privacy concerns, coupled with the complexity of deploying and maintaining AI models on edge devices, could impede market growth. Nonetheless, significant opportunities exist in the healthcare, automotive, and manufacturing sectors, driven by advancements in semiconductor technologies and increased investments in AI research, leading to more powerful and efficient edge AI solutions. ASICs are preferred for their high efficiency and optimization for specific AI algorithms, making them ideal for high-volume, embedded devices requiring real-time processing. CPUs, as general-purpose processors, offer flexibility and are suitable for applications needing complex decision-making capabilities. GPUs excel in parallel processing tasks, beneficial for deep learning, video analytics, and AI model training, enhancing their use in edge AI applications. However, data security and privacy concerns and complexity of ai model deployment would stifle the market growth during the forecast period 2024-2032.

Edge AI enables real-time processing of biometric, mobile, sensor, speech, and video data, significantly reducing latency and enhancing privacy. The automotive industry utilizes edge AI for autonomous driving, predictive maintenance, and enhancing user experiences. Energy and utilities employ edge AI for grid operations and infrastructure maintenance. In the government and public sector, edge AI is pivotal for smart city initiatives, public safety, and transportation systems. Healthcare benefits from edge AI through patient monitoring, medical imaging analysis, and hospital logistics. Manufacturing leverages edge AI for quality control, predictive maintenance, and supply chain optimization, while telecom operators use it for network optimization and predictive analytics.

The key regions considered for the Global Edge Artificial Intelligence Market study include Asia Pacific, North America, Europe, Latin America, and the Middle East and Africa. Regionally, the North America is dominating the market share in edge AI adoption due to technological innovation and the prevalence of IoT devices. EMEA's growth is driven by strict privacy regulations and smart city initiatives, particularly in Europe and the Middle East. APAC is expected to witness the fastest growth rate, propelled by government support, technological advancements, and a large manufacturing base incorporating edge AI for real-time process optimization.

Major market players included in this report are:

  • Intel Corporation
  • Google LLC by Alphabet Inc.
  • Microsoft Corporation
  • Amazon Web Services Inc.
  • Hewlett Packard Enterprise Company
  • Lenovo Group Ltd.
  • International Business Machines Corporation
  • NVIDIA Corporation
  • Qualcomm Technologies, Inc.
  • Synaptics Incorporated
  • Adlink Technology, Inc.
  • BrainChip Holdings Ltd.
  • Nutanix, Inc.
  • Cloudera, Inc.
  • EdgeConneX

The detailed segments and sub-segment of the market are explained below:

By Processor:

  • ASIC
  • CPU
  • GPU

By Component:

  • Services
  • Solution

By Source:

  • Biometric Data
  • Mobile Data
  • Sensor Data
  • Speech Recognition
  • Video & Image Recognition

By End-Use:

  • Automotive
  • Energy and Utilities
  • Government & Public Sector
  • Healthcare
  • Manufacturing
  • Telecom

By Application:

  • Access Management
  • Autonomous Vehicles
  • Energy Management
  • Precision Agriculture
  • Remote Monitoring & Predictive Maintenance
  • Smart Wearables
  • Telemetry
  • Video Surveillance

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia-Pacific
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East and Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East and Africa

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Edge Artificial Intelligence Market Executive Summary

  • 1.1. Global Edge Artificial Intelligence Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Processor
    • 1.3.2. By Component
    • 1.3.3. By Source
    • 1.3.4. By End-Use
    • 1.3.5. By Application
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Edge Artificial Intelligence Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Edge Artificial Intelligence Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increased Demand for Low-Latency Processing
    • 3.1.2. Proliferation of IoT Devices
    • 3.1.3. Real-Time Decision-Making Capabilities
  • 3.2. Market Challenges
    • 3.2.1. Data Security and Privacy Concerns
    • 3.2.2. Complexity of AI Model Deployment
  • 3.3. Market Opportunities
    • 3.3.1. Intelligent Applications in Healthcare, Automotive, and Manufacturing
    • 3.3.2. Advancements in Semiconductor Technologies
    • 3.3.3. Increased Investments in AI Research

Chapter 4. Global Edge Artificial Intelligence Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Edge Artificial Intelligence Market Size & Forecasts by Processor 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Edge Artificial Intelligence Market: Processor Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. ASIC
    • 5.2.2. CPU
    • 5.2.3. GPU

Chapter 6. Global Edge Artificial Intelligence Market Size & Forecasts by Component 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Edge Artificial Intelligence Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Services
      • 6.2.1.1. Support & Maintenance
      • 6.2.1.2. System Integration & Testing
      • 6.2.1.3. Training & Consulting
    • 6.2.2. Solution
      • 6.2.2.1. Platform
      • 6.2.2.2. Software Tools

Chapter 7. Global Edge Artificial Intelligence Market Size & Forecasts by Source 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Edge Artificial Intelligence Market: Source Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Biometric Data
    • 7.2.2. Mobile Data
    • 7.2.3. Sensor Data
    • 7.2.4. Speech Recognition
    • 7.2.5. Video & Image Recognition

Chapter 8. Global Edge Artificial Intelligence Market Size & Forecasts by End-Use 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global Edge Artificial Intelligence Market: End-Use Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. Automotive
    • 8.2.2. Energy and Utilities
    • 8.2.3. Government & Public Sector
    • 8.2.4. Healthcare
    • 8.2.5. Manufacturing
    • 8.2.6. Telecom

Chapter 9. Global Edge Artificial Intelligence Market Size & Forecasts by Application 2022-2032

  • 9.1. Segment Dashboard
  • 9.2. Global Edge Artificial Intelligence Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 9.2.1. Access Management
    • 9.2.2. Autonomous Vehicles
    • 9.2.3. Energy Management
    • 9.2.4. Precision Agriculture
    • 9.2.5. Remote Monitoring & Predictive Maintenance
    • 9.2.6. Smart Wearables
    • 9.2.7. Telemetry
    • 9.2.8. Video Surveillance

Chapter 10. Global Edge Artificial Intelligence Market Size & Forecasts by Region 2022-2032

  • 10.1. North America Edge Artificial Intelligence Market
    • 10.1.1. U.S. Edge Artificial Intelligence Market
      • 10.1.1.1. Type breakdown size & forecasts, 2022-2032
      • 10.1.1.2. Material Type breakdown size & forecasts, 2022-2032
      • 10.1.1.3. Flow Rate breakdown size & forecasts, 2022-2032
      • 10.1.1.4. Application breakdown size & forecasts, 2022-2032
    • 10.1.2. Canada Edge Artificial Intelligence Market
  • 10.2. Europe Edge Artificial Intelligence Market
    • 10.2.1. Germany Edge Artificial Intelligence Market
    • 10.2.2. U.K. Edge Artificial Intelligence Market
    • 10.2.3. France Edge Artificial Intelligence Market
    • 10.2.4. Italy Edge Artificial Intelligence Market
    • 10.2.5. Spain Edge Artificial Intelligence Market
    • 10.2.6. Rest of Europe Edge Artificial Intelligence Market
  • 10.3. Asia-Pacific Edge Artificial Intelligence Market
    • 10.3.1. China Edge Artificial Intelligence Market
    • 10.3.2. Japan Edge Artificial Intelligence Market
    • 10.3.3. India Edge Artificial Intelligence Market
    • 10.3.4. South Korea Edge Artificial Intelligence Market
    • 10.3.5. Australia Edge Artificial Intelligence Market
    • 10.3.6. Rest of Asia-Pacific Edge Artificial Intelligence Market
  • 10.4. Latin America Edge Artificial Intelligence Market
    • 10.4.1. Brazil Edge Artificial Intelligence Market
    • 10.4.2 Mexico Edge Artificial Intelligence Market
    • 10.4.3 Rest of Latin America Edge Artificial Intelligence Market
  • 10.5 Middle East and Africa Edge Artificial Intelligence Market
    • 10.5.1. Saudi Arabia Edge Artificial Intelligence Market
    • 10.5.2. South Africa Edge Artificial Intelligence Market
    • 10.5.3. Rest of LAMEA Edge Artificial Intelligence Market

Chapter 11. Competitive Intelligence

  • 11.1. Key Company SWOT Analysis
  • 11.2. Top Market Strategies
  • 11.3. Company Profiles
    • 11.3.1. Intel Corporation
      • 11.3.1.1. Key Information
      • 11.3.1.2. Overview
      • 11.3.1.3. Financial (Subject to Data Availability)
      • 11.3.1.4. Product Summary
      • 11.3.1.5. Market Strategies
    • 11.3.2. Google LLC by Alphabet Inc.
    • 11.3.3. Microsoft Corporation
    • 11.3.4. Amazon Web Services Inc.
    • 11.3.5. Hewlett Packard Enterprise Company
    • 11.3.6. Lenovo Group Ltd.
    • 11.3.7. International Business Machines Corporation
    • 11.3.8. NVIDIA Corporation
    • 11.3.9. Qualcomm Technologies, Inc.
    • 11.3.10. Synaptics Incorporated
    • 11.3.11. Adlink Technology, Inc.
    • 11.3.12. BrainChip Holdings Ltd.
    • 11.3.13. Nutanix, Inc.
    • 11.3.14. Cloudera, Inc.
    • 11.3.15. EdgeConneX

Chapter 12. Research Process

  • 12.1. Research Process
    • 12.1.1. Data Mining
    • 12.1.2. Analysis
    • 12.1.3. Market Estimation
    • 12.1.4. Validation
    • 12.1.5. Publishing
  • 12.2. Research Attributes