邊緣 AI 軟體市場規模、佔有率和成長分析（按組件、應用、設備類型、垂直行業和地區）- 2025-2032 年行業預測

2023 年邊緣 AI 軟體市場規模價值 21 億美元，預計將從 2024 年的 26.5 億美元成長到 2032 年的 173 億美元，預測期間（2025-2032 年）的複合年成長率為 26.4%。

邊緣 AI 軟體正在透過實現即時資料創建和決策同時延長穿戴式裝置的電池壽命來改變各種行業。邊緣 AI 軟體的雲端功能可最大限度地減少串流媒體問題並增強資料隱私。該軟體相容於多重雲端環境，使其成為電訊和企業領域必不可少的軟體，並能夠快速部署先進的人工智慧分析。汽車產業將從邊緣人工智慧的創新中受益匪淺，尤其是隨著自動駕駛汽車的預期成長，邊緣運算將發揮關鍵作用。專家預測，邊緣AI將在資料管治、成本效率和洞察速度方面超越4G網路，從而釋放新的機會。此外，減少資料傳輸的需求可以降低通訊成本，而不會透過本地處理損害資料隱私。

目錄

介紹

• 調查目的
• 研究範圍
• 定義

調查方法

• 資訊採購
• 次要和主要資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 細分機會分析

市場動態及展望

• 市場概況
• 市場規模
• 市場動態
  • 促進因素和機會
  • 限制與挑戰
• 波特的分析

主要市場考察

• 關鍵成功因素
• 競爭程度
• 主要投資機會
• 市場生態系統
• 市場吸引力指數（2024 年）
• PESTEL 分析
• 宏觀經濟指標
• 價值鏈分析
• 定價分析

邊緣 AI 軟體市場規模（按組件和複合年成長率） (2025-2032)

• 市場概況
• 硬體
• 軟體
• 邊緣雲端基礎設施服務

邊緣 AI 軟體市場規模（按應用和複合年成長率） (2025-2032)

• 市場概況
• 視訊監控
• 存取管理
• 自動駕駛汽車
• 能源管理
• 其他

邊緣 AI 軟體市場規模（按設備類型和複合年成長率） (2025-2032)

• 市場概況
• 智慧型手機
• 相機
• 機器人
• 穿戴式裝置
• 智慧音箱
• 監視錄影機
• 邊緣伺服器
• 智慧鏡子
• 其他

邊緣 AI 軟體市場規模（依垂直產業分類）及複合年成長率（2025-2032 年）

• 市場概況
• 車
• 製造業
• 衛生保健
• 能源和公用事業
• 消費品
• 資訊科技和通訊
• 其他（零售）

邊緣 AI 軟體市場規模（按地區）及複合年成長率（2025-2032）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲國家
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前 5 家公司對比
• 主要企業市場定位（2024年）
• 主要市場參與者所採用的策略
• 近期市場趨勢
• 公司市場佔有率分析（2024 年）
• 主要企業簡介
  • 公司詳細資訊
  • 產品系列分析
  • 公司分部佔有率分析
  • 收益與前一年同期比較對比（2022-2024 年）

主要企業簡介

• 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）

結論和建議

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