邊緣人工智慧軟體市場規模、佔有率和成長分析（按組件、應用、設備類型、垂直產業和地區分類）－2026-2033年產業預測

預計到 2024 年，邊緣人工智慧軟體市場規模將達到 26.5 億美元，到 2025 年將成長至 33.5 億美元，到 2033 年將成長至 218.3 億美元，在預測期（2026-2033 年）內，複合年成長率為 26.4%。

邊緣人工智慧軟體透過實現即時數據生成和決策，正在革新即時運作。其整合可延長製造過程中穿戴式裝置的電池續航時間，同時支援雲端大規模資料存儲，從而緩解串流傳輸問題並增強資料隱私。由於其對多重雲端環境的支援以及快速執行高級人工智慧分析的能力，這項技術正在通訊業和企業領域迅速普及。汽車產業也受惠於邊緣人工智慧的創新，尤其是在快速發展的自動駕駛汽車市場。與傳統網路技術相比，透過邊緣運算增強的資料管治能夠改善資料管理，降低營運成本，並更快提供洞察。此外，本地資料處理可在不損害資料隱私的前提下最大限度地降低通訊成本，從而在各行業釋放巨大的潛力。

邊緣人工智慧軟體市場促進因素

邊緣人工智慧軟體市場的發展動力源於企業日益認知到遠距辦公能夠顯著節省基礎設施和辦公空間成本。許多員工在家工作時工作效率顯著提高，這推動了對遠距辦公解決方案的需求。為了促進分散式團隊之間的協作，企業正在增加對先進遠距辦公技術的投資，例如計劃管理工具、雲端文件共用系統和虛擬會議應用程式。此外，隨著遠端辦公的廣泛應用，確保企業網路和資料安全存取所需的強大網路安全措施變得日益重要，這也進一步促進了市場成長。

邊緣人工智慧軟體市場面臨的限制因素

邊緣人工智慧軟體市場面臨一些限制，主要源自於智慧型手機、物聯網設備和邊緣伺服器等邊緣設備的限制。與雲端系統相比，這些設備的運算能力往往較低，這會限制邊緣人工智慧演算法的複雜性和擴充性。因此，這種限制會對邊緣人工智慧軟體解決方案的效能和功能產生負面影響，阻礙其在即時數據處理和分析方面的有效性。因此，在當前情況下，如何在邊緣人工智慧應用中實現最佳效能仍然是一項重大挑戰。

邊緣人工智慧軟體市場趨勢

邊緣人工智慧軟體市場正經歷邊緣運算與雲端運算的顯著融合，這催生了向整合解決方案發展的重大趨勢。這些先進的邊緣人工智慧軟體產品能夠實現本地和雲端基礎架構之間的無縫協作，從而實現高效的資料傳輸、模型訓練和即時推理。隨著各組織機構日益認知到利用邊緣和雲端能力的優勢，從醫療保健到製造業等各行業對強大的邊緣人工智慧解決方案的需求都在激增。這種協同效應正在提升營運效率、降低延遲並增強資料安全性，使邊緣人工智慧成為未來數位轉型的基礎技術。

目錄

介紹

• 調查目標
• 調查範圍
• 定義

調查方法

• 資訊收集
• 二手資料和一手資料方法
• 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
• 細分市場機會分析

市場動態與展望

• 市場規模
• 市場動態
  • 促進因素和機遇
  • 限制與挑戰
• 波特分析

關鍵市場考察

• 關鍵成功因素
• 競爭程度
• 關鍵投資機會
• 市場生態系統
• 市場吸引力指數（2025）
• PESTEL 分析
• 總體經濟指標
• 價值鏈分析
• 定價分析

全球邊緣人工智慧軟體市場規模（按組件和複合年成長率分類）（2026-2033 年）

• 硬體
• 軟體
• 邊緣雲端基礎設施服務

全球邊緣人工智慧軟體市場規模（按應用領域及複合年成長率分類）（2026-2033 年）

• 視訊監控
• 存取管理
• 自動駕駛汽車
• 能源管理
• 其他

全球邊緣人工智慧軟體市場規模（按設備類型和複合年成長率分類）（2026-2033 年）

• 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
• 其他

全球邊緣人工智慧軟體市場規模（按產業垂直領域分類）及複合年成長率（2026-2033 年）

• 車
• 製造業
• 衛生保健
• 能源與公共產業
• 消費品
• 資訊科技/通訊
• 其他（零售）

全球邊緣人工智慧軟體市場規模及複合年成長率（2026-2033）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 亞太其他地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 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

• 前五大公司對比
• 主要企業的市場定位（2025 年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市佔率分析（2025 年）
• 主要企業公司簡介
  • 公司詳情
  • 產品系列分析
  • 依業務板塊進行公司股票分析
  • 2023-2025年營收年比比較

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）

結論與建議

Edge AI Software Market size was valued at USD 2.65 Billion in 2024 and is poised to grow from USD 3.35 Billion in 2025 to USD 21.83 Billion by 2033, growing at a CAGR of 26.4% during the forecast period (2026-2033).

Edge AI software is revolutionizing real-time operations by facilitating immediate data creation and decision-making. Its integration enhances wearable gadget battery life during manufacturing while simultaneously enabling substantial data storage in the cloud, mitigating streaming issues and bolstering data privacy. This technology is gaining traction across telecom and enterprise sectors due to its support for multi-cloud environments and its capability to execute sophisticated AI analytics promptly. The automotive industry is also benefiting from edge AI innovations, particularly in the rapidly evolving autonomous vehicle market. Enhanced by edge computing, data governance improves, operational costs decrease, and insights become faster compared to previous network technologies. Furthermore, localized data processing minimizes communication costs without compromising data privacy, unlocking significant potential across various industries.

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 Mirrorsand 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 propelled by a growing recognition among businesses that remote work offers significant cost savings tied to infrastructure and office space. Many employees have realized enhanced productivity while working from home, which fuels the demand for remote employment solutions. Companies are increasingly investing in advanced remote work technologies, such as project management tools, cloud-based file-sharing systems, and virtual meeting applications to facilitate collaboration among distributed teams. Additionally, as the prevalence of remote work rises, the need for robust cybersecurity measures to ensure secure access to company networks and data becomes increasingly critical, further driving market growth.

Restraints in the Edge AI Software Market

The Edge AI Software market faces certain limitations primarily due to the constraints of edge devices, including smartphones, IoT devices, and edge servers. These devices typically possess lower computational power when compared to cloud-based systems, which can restrict the complexity and scalability of AI algorithms functioning at the edge. As a result, this limitation can adversely affect both the performance and capabilities of Edge AI software solutions, hindering their effectiveness in processing and analyzing data in real-time. Thus, achieving optimal performance in Edge AI applications remains a significant challenge in the current landscape.

Market Trends of the Edge AI Software Market

The Edge AI software market is witnessing a remarkable convergence of edge computing and cloud computing, driving a significant trend towards integrated solutions. These advanced Edge AI software offerings enable seamless interaction between local and cloud infrastructures, facilitating efficient data transfer, model training, and real-time inferencing. As organizations increasingly recognize the benefits of leveraging both edge and cloud capabilities, the demand for robust Edge AI solutions is surging across diverse sectors, ranging from healthcare to manufacturing. This synergy enhances operational efficiency, reduces latency, and bolsters data security, positioning Edge AI as a cornerstone technology for future digital transformations.

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, 2025
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis

Global Edge AI Software Market Size by Component & CAGR (2026-2033)

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

Global Edge AI Software Market Size by Application & CAGR (2026-2033)

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

Global Edge AI Software Market Size by Device type & CAGR (2026-2033)

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

Global Edge AI Software Market Size by Industry & CAGR (2026-2033)

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

Global Edge AI Software Market Size & CAGR (2026-2033)

• 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, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

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