エッジAIソフトウェアの市場規模、シェア、成長分析：コンポーネント別、用途別、デバイスタイプ別、産業別、地域別 - 産業予測 2025～2032年

エッジAIソフトウェア市場規模は2023年に21億米ドルと評価され、予測期間（2025-2032年）のCAGRは26.4%で、2024年の26億5,000万米ドルから2032年には173億米ドルに成長する見通しです。

エッジAIソフトウェアは、ウェアラブルデバイスのバッテリー寿命を向上させながら、リアルタイムのデータ作成と意思決定を可能にすることで、さまざまな業界に変革をもたらします。エッジAIソフトウェアのクラウド機能は、ストリーミングの問題を最小限に抑え、データプライバシーを強化します。このソフトウェアはマルチクラウド環境との互換性があるため、電気通信やエンタープライズ分野で不可欠であり、高度なAIアナリティクスの迅速な展開を可能にします。自動車業界は、エッジAIのイノベーションから大きな恩恵を受ける立場にあり、特にエッジコンピューティングが重要な役割を果たす自律走行車の成長が予想されます。専門家は、エッジAIはデータガバナンス、コスト効率、洞察のスピードにおいて4Gネットワークを凌駕し、新たな機会を解き放つだろうと予測しています。さらに、データトランスミッションの必要性を減らすことで、ローカル処理によるデータプライバシーを損なうことなく、通信コストを下げることができます。

目次

イントロダクション

• 調査の目的
• 調査範囲
• 定義

調査手法

• 情報調達
• 二次と一次データの方法
• 市場規模予測
• 市場の前提条件と制限

エグゼクティブサマリー

• 世界市場の見通し
• 供給と需要の動向分析
• セグメント別機会分析

市場力学と見通し

• 市場概要
• 市場規模
• 市場力学
  • 促進要因と機会
  • 抑制要因と課題
• ポーターの分析

主な市場の考察

• 重要成功要因
• 競合の程度
• 主な投資機会
• 市場エコシステム
• 市場の魅力指数（2024年）
• PESTEL分析
• マクロ経済指標
• バリューチェーン分析
• 価格分析

エッジAIソフトウェア市場規模：コンポーネント別& CAGR（2025-2032）

• 市場概要
• ハードウェア
• ソフトウェア
• エッジクラウドインフラストラクチャサービス

エッジAIソフトウェア市場規模：用途別& CAGR（2025-2032）

• 市場概要
• ビデオ監視
• アクセス管理
• 自動運転車
• エネルギー管理
• その他

エッジAIソフトウェア市場規模：デバイスタイプ別& CAGR（2025-2032）

• 市場概要
• スマートフォン
• カメラ
• ロボット
• ウェアラブル
• スマートスピーカー
• 監視カメラ
• エッジサーバー
• スマートミラー
• その他

エッジAIソフトウェア市場規模：産業別& CAGR（2025-2032）

• 市場概要
• 自動車
• 製造業
• ヘルスケア
• エネルギーとユーティリティ
• 消費財
• ITおよび通信
• その他（小売）

エッジAIソフトウェア市場規模：地域別& CAGR（2025-2032）

• 北米
  • 米国
  • カナダ
• 欧州
  • ドイツ
  • スペイン
  • フランス
  • 英国
  • イタリア
  • その他欧州地域
• アジア太平洋地域
  • 中国
  • インド
  • 日本
  • 韓国
  • その他アジア太平洋地域
• ラテンアメリカ
  • ブラジル
  • その他ラテンアメリカ地域
• 中東・アフリカ
  • GCC諸国
  • 南アフリカ
  • その他中東・アフリカ

競合情報

• 上位5社の比較
• 主要企業の市場ポジショニング（2024年）
• 主な市場企業が採用した戦略
• 最近の市場動向
• 企業の市場シェア分析（2024年）
• 主要企業の企業プロファイル
  • 企業の詳細
  • 製品ポートフォリオ分析
  • 企業のセグメント別シェア分析
  • 収益の前年比比較（2022-2024）

主要企業プロファイル

• 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）

結論と提言

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