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市场调查报告书
商品编码
1574142

全球边缘人工智慧市场－2024年至2029年预测

Global Edge AI Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 120 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

全球边缘人工智慧市场预计复合年增长率为20.54%，市场规模从2024年的235.71亿美元增加到2029年的599.78亿美元。

边缘AI是边缘运算与人工智慧（AI）技术结合而产生的。借助该解决方案，多种具有边缘运算能力的人工智慧演算法可以在设备上本地运行，以实现关键应用。此解决方案允许本地设备在没有网路连线的情况下即时处理资料。汽车、製造、医疗保健、能源和公共事业、消费品、IT 和电信领域的公司正在利用这些小工具。边缘人工智慧可实现高速资料处理，进而实现物联网设备中的即时资讯处理。 Edge AI 不会将其储存在云端中，而是将在本地设备或附近的伺服器上应用 AI 所需的资料储存起来。

多访问边缘运算架构在靠近最终用户和装置的网路边缘提供网路、储存和处理功能。在 MEC Edge AI使用案例中，虚拟设备（而不是真正的边缘电脑）用于透过 5G 连接处理摄影机的视讯串流。例如，2023年2月，欧洲都柏林城市大学与欧洲无线通讯基础设施供应商Cellnex Ireland合作开发了支援5G的智慧校园。作为此次合作的一部分，Cellnex 将在园区内安装各种通讯基础设施，以实现行动边缘运算 (MEC) 功能并确保整个主园区的 5G 覆盖范围。

全球边缘人工智慧市场驱动因素：

  • 医疗保健产业对边缘人工智慧的需求不断增长预计将推动市场成长

医疗保健产业正在见证人工智慧应用程式的使用迅速增加。应用包括电疗、机器人辅助手术、影像分析、虚拟诊断等。这些设备允许医生远端咨询患者并帮助医疗机构分析健康资料。此外，还采用基于边缘的网路安全来保护个人医疗资讯。

主要市场公司正在努力组织和创造新的技术进步。此外，医疗保健产业可能会受益于该技术整合所提供的高效能和加速。例如，NVIDIA 于 2022 年 9 月扩大了边缘 AI 技术在机器人和医疗保健领域的使用。 Nvidia IGX 平台旨在提高效能并获得即时洞察，以用于工业和医疗使用案例。

全球边缘人工智慧市场地理展望

  • 北美在预测期内将经历指数级增长

北美市场的快速扩张得益于该地区企业采用人工智慧和机器学习等先进技术。此外，人工智慧技术已受到美国政府的全国重视并作为首要目标。例如，2024年3月，AI解决方案供应商宜鼎国际在美国NVIDIA GTC上展示了其在边缘AI整合方面的专业知识。宜鼎国际专注于提供可跨产业使用的客製化人工智慧解决方案，积极在全球共用其研究成果和现实世界的边缘人工智慧实施。该公司透过展示其相机模组如何与 NVIDIA 专业的 AI 视觉技术无缝集成，重点介绍了整个行业的有用应用。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中释放新的业务流和收益。
  • 面向广大受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介（策略、产品、财务资讯、主要动态等）

全球边缘AI市场細項分析如下：

按成分

  • 服务
  • 解决方案

按资料来源

  • 行动资料
  • 感测器资料
  • 生物识别资料
  • 音讯、影像、影像识别

按用途

  • 视讯监控
  • 存取管理
  • 自动驾驶汽车
  • 能源管理
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • 以色列
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章全球边缘人工智慧市场：按组成部分

  • 介绍
  • 服务
  • 解决方案

第六章 全球边缘人工智慧市场：按资料来源划分

  • 介绍
  • 行动资料
  • 感测器资料
  • 生物识别资料
  • 音讯、影像、影像识别

第七章 全球边缘人工智慧市场：依应用分类

  • 介绍
  • 视讯监控
  • 存取管理
  • 自动驾驶汽车
  • 能源管理
  • 其他的

第八章全球边缘人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 按成分
    • 按发展
    • 按用途
    • 按国家/地区
  • 南美洲
    • 按成分
    • 按发展
    • 按用途
    • 按国家/地区
  • 欧洲
    • 按成分
    • 按发展
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 按成分
    • 按发展
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 按成分
    • 按发展
    • 按用途
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Microsoft Corporation
  • Alphabet Inc.
  • Amazon
  • IBM Corporation
  • Apple
  • Intel
  • Anagog Ltd.
  • Nutanix
  • Octonion SA.
  • Synaptics Incorporated
简介目录
Product Code: KSI061614137

The global edge AI market is expected to grow at a CAGR of 20.54%, reaching a market size of US$59.978 billion in 2029 from US$23.571 billion in 2024.

Edge computing and artificial intelligence (AI) technology are combined to create edge AI. With the help of this solution, several AI algorithms with edge computing capabilities can operate locally on devices for vital applications. Without internet access, this solution enables local devices to process data in real-time. Company sectors such as automotive, manufacturing, healthcare, energy and utility, consumer goods, IT, and telecom are making use of these gadgets. Edge AI enables fast data processing, leading to real-time information processing on the Internet of Things gadgets. Instead of being stored in the cloud, edge AI stores the data required to apply AI locally on the device or a nearby server.

Multi-Access Edge Computing architecture provides networking, storage, and processing capabilities at the edge of the network, near end users and end devices. Virtual devices, as opposed to actual edge computers, are utilized in MEC Edge AI use cases to process camera video streams over a 5G connection. For instance, in February 2023, Dublin City University in Europe and Cellnex Ireland, a European provider of wireless telecom infrastructure, worked together to develop a 5G-enabled smart campus. Cellnex installs a range of telecommunication infrastructure on the campuses as part of this partnership to enable Mobile Edge Computing (MEC) capabilities and guarantee 5G coverage throughout the main campus.

Global Edge AI Market Drivers:

  • Increasing demand for edge AI in the healthcare industry is anticipated to propel the market growth

The healthcare industry is seeing a sharp rise in the use of artificial intelligence applications because these technologies yield accurate results. Applications include electroceuticals, robotics-assisted surgery, image analysis, and virtual diagnostics. These instruments enable doctors to consult with patients remotely and assist healthcare organizations in analyzing health data. Additionally, edge-based cybersecurity is employed to protect private medical information.

The major market players are attempting to organize and create new technological advancements. Furthermore, the healthcare sector will benefit from the high performance and acceleration provided by the integration of this technology. For instance, Nvidia extended the use of its Edge Artificial Intelligence technology for robotics and healthcare in September 2022. The Nvidia IGX Platform aims to accelerate performance and extract real-time insights for use in both industrial and medical use cases.

Global Edge AI Market Geographical Outlook

  • North America is witnessing exponential growth during the forecast period

The rapid expansion of North American markets can be attributed to companies in the region adopting sophisticated technologies like artificial intelligence and machine learning. Moreover, AI technology is getting national attention from the U.S. government as its main goal. For example, in March 2024, the AI solutions provider Innodisk demonstrated its expertise in integrating edge AI at NVIDIA GTC in the United States. With a focus on delivering customizable AI solutions available to various industries, Innodisk actively shares its research and real-world edge AI implementations globally. The company highlights useful applications across industries by showcasing how its camera modules seamlessly integrate with NVIDIA's specialized AI visual technology.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Global Edge AI market is segmented and analyzed as follows:

By Component

  • Services
  • Solutions

By Data Sources

  • Mobile Data
  • Sensor Data
  • Biometric Data
  • Speech, Video, and Image Recognition

By Application

  • Video Surveillance
  • Access Management
  • Autonomous Vehicles
  • Energy Management
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. GLOBAL EDGE AI MARKET BY COMPONENT

  • 5.1. Introduction
  • 5.2. Services
  • 5.3. Solutions

6. GLOBAL EDGE AI MARKET BY DATA SOURCES

  • 6.1. Introduction
  • 6.2. Mobile Data
  • 6.3. Sensor Data
  • 6.4. Biometric Data
  • 6.5. Speech, Video, and Image Recognition

7. GLOBAL EDGE AI MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Video Surveillance
  • 7.3. Access Management
  • 7.4. Autonomous Vehicles
  • 7.5. Energy Management
  • 7.6. Others

8. GLOBAL EDGE AI MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Component
    • 8.2.2. By Deployment
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Component
    • 8.3.2. By Deployment
    • 8.3.3. By Application
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Component
    • 8.4.2. By Deployment
    • 8.4.3. By Application
    • 8.4.4. By Country
      • 8.4.4.1. UK
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Component
    • 8.5.2. By Deployment
    • 8.5.3. By Application
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. Israel
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Component
    • 8.6.2. By Deployment
    • 8.6.3. By Application
    • 8.6.4. By Country
      • 8.6.4.1. Japan
      • 8.6.4.2. China
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Microsoft Corporation
  • 10.2. Alphabet Inc.
  • 10.3. Amazon
  • 10.4. IBM Corporation
  • 10.5. Apple
  • 10.6. Intel
  • 10.7. Anagog Ltd.
  • 10.8. Nutanix
  • 10.9. Octonion SA.
  • 10.10. Synaptics Incorporated