边缘 AI 软体市场规模、份额和成长分析（按组件、应用、设备类型、垂直行业和地区）- 2025-2032 年行业预测

2023 年边缘 AI 软体市场规模价值 21 亿美元，预计将从 2024 年的 26.5 亿美元成长到 2032 年的 173 亿美元，预测期间（2025-2032 年）的复合年增长率为 26.4%。

边缘 AI 软体正在透过实现即时资料创建和决策同时延长穿戴式装置的电池寿命来改变各种行业。边缘 AI 软体的云端功能可最大限度地减少串流媒体问题并增强资料隐私。该软体相容于多重云端环境，使其成为电讯和企业领域必不可少的软体，并能够快速部署先进的人工智慧分析。汽车产业将从边缘人工智慧的创新中受益匪浅，尤其是随着自动驾驶汽车的预期成长，边缘运算将发挥关键作用。专家预测，边缘AI将在资料管治、成本效率和洞察速度方面超越4G网络，从而释放新的机会。此外，减少资料传输的需求可以降低通讯成本，而不会透过本地处理损害资料隐私。

目录

介绍

• 调查目的
• 研究范围
• 定义

调查方法

• 资讯采购
• 次要和主要资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分机会分析

市场动态及展望

• 市场概况
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特的分析

主要市场考察

• 关键成功因素
• 竞争程度
• 主要投资机会
• 市场生态系统
• 市场吸引力指数（2024 年）
• PESTEL 分析
• 宏观经济指标
• 价值链分析
• 定价分析

边缘 AI 软体市场规模（按组件和复合年增长率） (2025-2032)

• 市场概况
• 硬体
• 软体
• 边缘云端基础设施服务

边缘 AI 软体市场规模（按应用和复合年增长率） (2025-2032)

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

边缘 AI 软体市场规模（按设备类型和复合年增长率） (2025-2032)

• 市场概况
• 智慧型手机
• 相机
• 机器人
• 穿戴式装置
• 智慧音箱
• 监视录影机
• 边缘伺服器
• 智慧镜子
• 其他的

边缘 AI 软体市场规模（依垂直产业划分）及复合年增长率（2025-2032 年）

• 市场概况
• 车
• 製造业
• 卫生保健
• 能源和公用事业
• 消费品
• 资讯科技和通讯
• 其他（零售）

边缘 AI 软体市场规模（按地区）及复合年增长率（2025-2032）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲国家
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前 5 家公司对比
• 主要企业市场定位（2024年）
• 主要市场参与者所采用的策略
• 近期市场趋势
• 公司市场占有率分析（2024 年）
• 主要企业简介
  • 公司详细信息
  • 产品系列分析
  • 公司分部份额分析
  • 收益与前一年同期比较对比（2022-2024 年）

主要企业简介

• NVIDIA（US）
• Intel（US）
• Google（US）
• Microsoft（US）
• Amazon Web Services（AWS）（US）
• IBM（US）
• Qualcomm（US）
• Siemens（Germany）
• Bosch（Germany）
• Honeywell（US）
• Rockwell Automation（US）
• PTC（US）
• Edge Impulse（US）
• ClearBlade（US）
• Edge Tier（US）
• Run：ai（Israel）
• GreenWaves Technologies（France）
• Esper（US）
• Canonical（UK）

结论和建议

Edge AI Software Market size was valued at USD 2.1 billion in 2023 and is poised to grow from USD 2.65 billion in 2024 to USD 17.3 billion by 2032, growing at a CAGR of 26.4% during the forecast period (2025-2032).

Edge AI Software is transforming various industries by enabling real-time data creation and decision-making while enhancing battery life for wearable devices. Its cloud capabilities minimize streaming issues and bolster data privacy. The software's compatibility with multi-cloud environments makes it essential in telecom and enterprise sectors, allowing for rapid deployment of advanced AI analytics. The automotive industry stands to benefit significantly from edge AI innovations, particularly with the anticipated growth of autonomous vehicles, where edge computing will play a crucial role. Experts predict that edge AI will surpass 4G networks in data governance, cost efficiency, and speed of insights, unlocking new opportunities. Moreover, reduced data transmission needs can lower communication costs without compromising data privacy through local processing.

Top-down and bottom-up approaches were used to estimate and validate the size of the Edge AI Software market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Edge AI Software Market Segments Analysis

Global Edge AI Software Market is segmented by Component, Application, Device type, Industry and region. Based on Component, the market is segmented into Hardware, Software and Edge Cloud Infrastructure Services. Based on Application, the market is segmented into Video Surveillance, Access Management, Autonomous Vehicles, Energy Management and Others. Based on Device type, the market is segmented into Smartphones, Cameras, Robots, Wearables, Smart speakers, Surveillance Cameras, Edge Servers, Smart Mirrors and Others. Based on Industry, the market is segmented into Automotive, Manufacturing, Healthcare, Energy and Utility, Consumer Goods, IT & Telecom and Others (Retail). Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Edge AI Software Market

The Edge AI Software market is being driven by the growing recognition among businesses that remote work reduces costs associated with infrastructure and office space. Many employees have found they are more productive when working from home, which is fueling an increased demand for remote employment opportunities. As a result, companies are actively investing in remote work technologies, such as project management tools, cloud-based file-sharing platforms, and virtual meeting solutions to facilitate collaboration among remote workers. Additionally, with the rise of remote work, the need for robust cybersecurity measures to ensure secure access to company networks and data is becoming increasingly critical.

Restraints in the Edge AI Software Market

The Edge AI Software market faces a significant constraint due to the inherent limitations of edge devices like smartphones, IoT devices, and edge servers, which typically possess less computational power than cloud-based infrastructures. This restriction can hinder the deployment of more complex and scalable AI algorithms at the edge, ultimately affecting the performance and functionality of Edge AI Software solutions. As a result, companies may struggle to fully leverage AI capabilities in edge environments, which could restrict innovation and the potential applications of Edge AI technology across various industries.

Market Trends of the Edge AI Software Market

The Edge AI Software market is witnessing a significant upward trend, fueled by the growing convergence of edge and cloud computing technologies. Organizations are increasingly adopting Edge AI solutions that facilitate seamless data transfer and enable cloud-based model training alongside edge inferencing. This synergistic approach capitalizes on the strengths of both environments, enhancing the reliability and efficiency of AI applications across diverse industries. As businesses pursue real-time data processing and improved decision-making capabilities, the demand for innovative Edge AI Software is set to surge, positioning it as a critical component in the evolving landscape of intelligent systems and IoT applications.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis

Global Edge AI Software Market Size by Component & CAGR (2025-2032)

• Market Overview
• Hardware
• Software
• Edge Cloud Infrastructure Services

Global Edge AI Software Market Size by Application & CAGR (2025-2032)

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

Global Edge AI Software Market Size by Device type & CAGR (2025-2032)

• Market Overview
• Smartphones
• Cameras
• Robots
• Wearables
• Smart speakers
• Surveillance Cameras
• Edge Servers
• Smart Mirrors
• Others

Global Edge AI Software Market Size by Industry & CAGR (2025-2032)

• Market Overview
• Automotive
• Manufacturing
• Healthcare
• Energy and Utility
• Consumer Goods
• IT & Telecom
• Others (Retail)

Global Edge AI Software Market Size & CAGR (2025-2032)

• North America (Component, Application, Device type, Industry)
  • US
  • Canada
• Europe (Component, Application, Device type, Industry)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Application, Device type, Industry)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Application, Device type, Industry)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Application, Device type, Industry)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

• NVIDIA (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services (AWS) (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qualcomm (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Siemens (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Bosch (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Honeywell (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Rockwell Automation (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• PTC (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Edge Impulse (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ClearBlade (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Edge Tier (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Run:ai (Israel)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• GreenWaves Technologies (France)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Esper (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Canonical (UK)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations