エッジAIの市場規模、シェア、成長分析：コンポーネント別、ハードウェア別、ソフトウェア別、最終用途産業別、地域別 - 産業予測、2024-2031年

エッジAIの市場規模は、2022年に156億米ドルと評価され、2023年の205億5,000万米ドルから2031年には1,859億5,000万米ドルに達し、予測期間（2024年～2031年）のCAGRは31.7％で成長すると予測されています。

「エッジAI」とは、データソースの近くにある組み込みシステム、スマートフォン、モノのインターネット（IoT）デバイスなどのエッジデバイスに人工知能アルゴリズムを実装することを指します。従来のクラウドベースのAIとは異なり、エッジAIはローカルでデータを処理するため、集中型サーバーとの間で継続的にデータをやり取りする必要がないです。このアプローチには、待ち時間の短縮、帯域幅の最小化、プライバシーの強化、運用効率の向上など、いくつかの利点があります。より広範なAI・IoT分野の中で、エッジAI業界は、分散型AIアプリケーション、低遅延処理、エネルギー効率の高い計算に対する需要の高まりに後押しされ、急成長を遂げています。エッジAI市場は、いくつかの重要な要因と機会により、大幅な拡大が見込まれています。IoTデバイスの普及、AIと機械学習技術の進歩、リアルタイムのデータ処理と分析に対する需要の高まりが、この成長の主な原動力となっています。接続されたデバイスによって生成されるデータの急激な増加は、遅延と帯域幅の消費を軽減するために効率的なローカル処理を必要とし、特にスマートシティインフラ、ヘルスケアモニタリング、自律走行車などのリアルタイム意思決定を必要とするアプリケーションにとって極めて重要です。さらに、5G技術の導入により接続性とデータ転送速度が向上し、エッジAIシステムの実行可能性と効率がさらに高まります。

目次

イントロダクション

• 調査の目的
• 定義
• 市場範囲

調査手法

• 情報調達
• 二次データソースと一次データソース
• 市場規模予測
• 市場の想定と制限

エグゼクティブサマリー

• 市場概要見通し
• 供給需要動向分析
• セグメント別機会分析

市場力学と見通し

• 市場力学
  • 促進要因
  • 機会
  • 抑制要因
  • 課題
• ポーターの分析

主な市場の考察

• 技術分析
• 価格分析
• バリューチェーン分析
• ケーススタディ分析
• 市場のエコシステム
• 貿易分析
• サプライチェーン分析
• バリューチェーン分析
• 特許分析
• スタートアップ分析
• 顧客と購買基準の分析
• 規制情勢
• イノベーションマトリクス
• 主な投資の分析
• 主な成功要因
• 競合の程度

エッジAI市場：コンポーネント別

• 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
• サービス

エッジAI市場：ハードウェア別

• 市場概要
• デバイス別
  • スマートフォン
  • 監視カメラ
  • ロボット
  • ウェアラブル
  • エッジサーバー
  • スマートスピーカー
  • 自動車
  • その他のデバイス
• 消費電力
  • 1W未満
  • 1～3W
  • 3～5W
  • 5～10W
  • 10W以上
• プロセッサー
  • CPU
  • GPU
  • ASIC
  • その他
• 関数
  • トレーニング
  • 推論

エッジAI市場：ソフトウェア別

• 市場概要
• ソリューション
  • タイプ
  • スタンドアロン
  • 統合型
  • 展開
  • オンプレミス
  • クラウド
• サービス
  • プロフェッショナルサービス
  • トレーニングとコンサルティング
  • システム統合とテスト
  • サポートとメンテナンス
  • マネージドサービス
• データタイプ
  • ビデオと画像データ
  • 物体検出と認識
  • 顔認識
  • 外観検査
  • その他のビデオ・画像データアプリケーション
  • 音声データテキスト・言語データ
  • 音声認識
  • 音の異常検出
  • 音声アシスタント
  • その他のオーディオデータアプリケーション
• テキストと言語データ
  • 自然言語処理
  • 感情分析
  • チャットボットとバーチャルアシスタント
  • その他のテキスト・言語データアプリケーション
• 環境・位置データ
  • 地理空間分析
  • 天気予報
  • 空気質モニタリング
  • その他の環境・位置データアプリケーション
• 生体認証データ
  • 指紋認識
  • 虹彩と網膜のスキャン
  • 生体認証
  • その他の生体認証データアプリケーション
• マルチモーダルデータ
  • センサーの統合
  • テキストとビジュアルデータの統合
  • その他のマルチモーダルデータアプリケーション

エッジAI市場：最終用途産業別

• 市場概要
• コンシューマーエレクトロニクス
  • スマートフォン
  • ウェアラブル
  • エンターテインメントロボット
• スマートホームデバイス
  • スマートスピーカー
  • スマートカメラ
  • 家庭用ロボット
• 自動車・輸送機器
  • 自動車部品
  • 監視カメラ
  • 物流ロボット
  • その他の自動車・輸送機器
• ヘルスケア機器
  • 医療用ロボット
  • ウェアラブル
  • その他のヘルスケア機器
• 産業機器
  • 産業用ロボット
  • ドローン
  • MVカメラ
• 航空宇宙・防衛機器
  • サービスロボット
  • その他の航空宇宙・防衛機器
• 建設機器
  • サービスロボット
  • ドローン
• その他の業種
  • デバイス別
    • 監視カメラ
    • プロフェッショナルサービスロボット
    • ウェアラブル
    • 他のデバイス
  • エッジサーバー
  • ドローン

エッジAI市場：地域別

• 市場概要
• 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（MEA）
  • GCC諸国
  • 南アフリカ
  • その他中東・アフリカ地域

競合情勢

• 上位5社の比較
• 主要企業の市場ポジショニング（2023年）
• 主な市場企業が採用した戦略
• 市場における最近の活動
• 主要企業の市場シェア（2023年）

主要企業プロファイル

• Hewlett Packard Enterprise（HPE）（US）
• Samsung Electronics Co., Ltd.（South Korea）
• Siemens AG（Germany）
• NEC Corporation（Japan）
• Advanced Micro Devices, Inc.（AMD）（US）
• Huawei Technologies Co., Ltd.（China）
• NVIDIA Corporation（US）
• Amazon Web Services（AWS）（US）
• Baidu, Inc.（China）
• Cisco Systems, Inc.（US）
• Minima Ltd.（UK）
• Accenture PLC（Ireland）
• MediaTek Inc.（Taiwan）
• Dell Technologies Inc.（US）
• SAP SE（Germany）
• Xilinx, Inc.（US）
• Fujitsu Limited（Japan）
• Intel Corporation（US）
• Qualcomm Inc.（US）
• Renesas Electronics Corporation（Japan）

Edge Artificial Intelligence (AI) Market size was valued at USD 15.60 Billion in 2022 and is projected to grow from USD 20.55 Billion in 2023 to reach USD 185.95 Billion by 2031, growing at a CAGR of 31.7% in the forecast period (2024-2031).

"Edge AI" refers to the implementation of artificial intelligence algorithms on edge devices such as embedded systems, smartphones, and Internet of Things (IoT) devices located near data sources. Unlike traditional cloud-based AI, Edge AI processes data locally, eliminating the need for continuous data transfer to and from a centralized server. This approach offers several advantages, including reduced latency, minimized bandwidth usage, enhanced privacy, and improved operational efficiency. Within the broader AI and IoT sectors, the Edge AI industry is witnessing rapid growth, driven by increasing demand for decentralized AI applications, low-latency processing, and energy-efficient computation. The Edge AI market is poised for significant expansion due to several key factors and opportunities. The proliferation of IoT devices, advancements in AI and machine learning technologies, and rising demand for real-time data processing and analysis are the primary drivers of this growth. The exponential increase in data generated by connected devices necessitates efficient local processing to mitigate latency and bandwidth consumption, particularly crucial for applications requiring real-time decision-making, such as smart city infrastructure, healthcare monitoring, and autonomous vehicles. Additionally, the deployment of 5G technology enhances connectivity and data transmission rates, further enhancing the viability and efficiency of Edge AI systems.

Top-down and bottom-up approaches were used to estimate and validate the size of the Edge Artificial Intelligence (AI) 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 Artificial Intelligence (AI) Market Segmental Analysis

The edge artificial intelligence (AI) market is segmented based on component, end use industry, and regional type. In terms of components, the market is segmented into Hardware (Device [Smartphone, Surveillance Cameras, Robots, Wearables, Edge Servers, Smart Speakers, Automobiles, Other Devices]). Power Consumption [Less Than 1W, 1-3W, 3-5W, 5-10W, More Than 10W], Processor [CPU, GPU, ASIC, Other]). (Function [Training, Inference]). Software (Offerings [Solutions {By type (Standalone, Integrated), {By Deployment (On-premises, Cloud)}, [Services {Professional Services (Training & consulting, System integration & testing, Support & maintenance}, Managed Services. (Data Type [Video and Image Data Object Detection & Recognition, Facial Recognition, Visual Inspection, Other Video & Image Data Applications], Audio Data Text & Language Data [Speech Recognition, Sound Anomaly Detection, Voice Assistants, Other Audio Data Applications], Text & Language Data [Natural Language Processing, Sentiment Analysis, Chatbots & Virtual Assistants, Other Text & Language Data Applications] Environmental & Location Data [Geospatial Analysis, Weather Prediction , Air Quality Monitoring , Other Environmental & Location Data Applications]Biometric Data [Fingerprint Recognition, Iris & Retina Scanning, Biometric Authentication, Other Biometric Data Applications], Multi-Modal Data [Integration Of Sensors, Integration Of Text & Visual Data, Other Multi-modal Data Applications], Edge Cloud Infrastructure, Services. In terms of end use industry, the market is segmented into Consumer Electronics (By Device [smartphones, wearables, entertainment robots, Smart Homes [By Device {smart speakers, smart cameras, domestic robots, Automotive & Transportation [By Device {automobile parts, surveillance cameras, logistics robots, other automotive & transportation devices], Government [By Device {surveillance cameras, drones}, Healthcare [By Device, {Medical Robots, Wearables, Other Healthcare Devices}, Industrial [By Device {Industrial robots, Drones, Mv Cameras}, Aerospace & Defense [By Device {Service Robots, Other Aerospace & Defense Devices}, Construction [By Device, Service Robots, Drones], Other Verticals [By Device,{Surveillance Cameras, Professional Service Robots, Wearables, Other Devices},[Edge Servers, Drones]. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

Drivers of the Edge Artificial Intelligence (AI) Market

Security vulnerabilities and the threat of malware infiltration pose significant obstacles to the seamless operation of Edge AI applications. Given the sensitivity of the data they manage and store, these apps are susceptible to various security risks. Despite being a relatively newer development, the lack of experience and comprehension across industries exacerbates these vulnerabilities. Moreover, edge computing relies heavily on standardized units and hardware, making the prototype construction labor-intensive and time-consuming to integrate into production. Additionally, substantial investments are required for training, personnel, and research and development efforts. Edge AI encounters challenges such as computing constraints, data privacy concerns, and security issues. The limited computational capacity of edge devices, compared to cloud servers, constrains the complexity and scale of AI models that can be deployed. Processing data locally on distributed edge devices raises significant apprehensions regarding data privacy and security, necessitating robust security measures to safeguard sensitive data.

Restraints in the Edge Artificial Intelligence (AI) Market

The significant expense associated with setting up and maintaining equipment poses challenges for the adoption of technologies such as Edge Artificial Intelligence (AI)s. Procuring Edge Artificial Intelligence (AI)s and the necessary tools incurs substantial costs, leading to overall increased expenses. Consequently, only companies and firms with high turnovers and strong competitiveness in the market can afford to integrate these Edge Artificial Intelligence (AI)s. This situation is expected to dampen the growth of the global Edge Artificial Intelligence (AI) market throughout the forecast period.

Market Trends of the Edge Artificial Intelligence (AI) Market

The escalating reliance on digital technologies, particularly Edge Artificial Intelligence (AI), within Industry 4.0 signifies a pivotal transformation in design and industrial production. Organizations are increasingly integrating advanced technologies like AI, Internet of Things (IoT), cloud computing, and automation to facilitate the creation of smart factories. This shift towards Industry 4.0 emphasizes the importance of Edge AI, which involves processing data closer to its source with minimal reliance on centralized areas like data centers or cloud premises. Edge AI plays a vital role in Industry 4.0 by addressing various needs such as reducing latency, facilitating instantaneous information processing to enhance real-time insights, and automating network activities. The Edge AI market is undergoing a revolutionary phase characterized by notable trends that significantly impact its growth and development. One such trend is the rising demand for rapid and efficient response through real-time analysis and decision-making across diverse organizational sectors. This trend places considerable pressure on technologies like Edge AI solutions, enabling swift reactions with minimal latency. Additionally, the convergence of cloud services and edge computing emerges as a significant trend offering enhanced scalability and resource utilization.

Table of Contents

Introduction

• Objectives of the Study
• Definitions
• Market Scope

Research Methodology

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

Executive Summary

• Market Overview Outlook
• Supply Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Dynamics
  • Drivers
  • Opportunities
  • Restraints
  • Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of Substitute Products
  • Bargaining Power of Buyers
  • Threat of New Entrants
  • Bargaining Power of Suppliers

Key Market Insights

• Technology Analysis
• Pricing Analysis
• Value Chain Analysis
• Case Study Analysis
  • Imagimob integrated motion intelligence into a fitness tracker to provide more detailed analysis of daily activities.
  • Anagog's JedAI 4.0 supported banking institutions in monitoring and predicting changes in customers' lifestyles.
  • Bytelake developed a starter kit for rapid creation and deployment of innovative computer vision systems in grocery retail stores.
• Ecosystem of the Market
• Trade Analysis
• Supply chain Analysis
• Value chain Analysis
• Patent Analysis
• Start-up Analysis
• Customer & Buying Criteria Analysis
• Regulatory Landscape
• Innovation Matrix
• Top Investment Analysis
• Key Success Factor
• Degree of Competition

Edge Artificial Intelligence Market by Component

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

Edge Artificial Intelligence Market by Hardware

• Market Overview
• By Device
  • Smartphones
  • Surveillance Cameras
  • Robots
  • Wearables
  • Edge Servers
  • Smart Speakers
  • Automobiles
  • Other Devices
• Power Consumption
  • Less Than 1W
  • 1-3W
  • 3-5W
  • 5-10W
  • More Than 10W
• Processor
  • CPU
  • GPU
  • ASIC
  • Other
• Function
  • Training
  • Inference

Edge Artificial Intelligence Market by Software

• Market Overview
• Solutions
  • Type
  • Standalone
  • Integrated
  • Deployment
  • On-premises
  • Cloud
• Services
  • Professional Services
  • Training & consulting
  • System integration & testing
  • Support & maintenance
  • Managed Services
• Data Type
  • Video and Image Data
  • Object Detection & Recognition
  • Facial Recognition
  • Visual Inspection
  • Other Video & Image Data Applications
  • Audio Data Text and Language Data
  • Speech Recognition
  • Sound Anomaly Detection
  • Voice Assistants
  • Other Audio Data Applications
• Text & Language Data
  • Natural Language Processing
  • Sentiment Analysis
  • Chatbots & Virtual Assistants
  • Other Text & Language Data Applications
• Environmental and Location Data
  • Geospatial Analysis
  • Weather Prediction
  • Air Quality Monitoring
  • Other Environmental & Location Data Applications
• Biometric Data
  • Fingerprint Recognition
  • Iris & Retina Scanning
  • Biometric Authentication
  • Other Biometric Data Applications
• Multi-Modal Data
  • Integration Of Sensors
  • Integration Of Text & Visual Data
  • Other Multi-modal Data Applications

Edge Artificial Intelligence Market by End Use Industry

• Market Overview
• Consumer Electronics Device
  • Smartphones
  • Wearables
  • Entertainment Robots
• Smart Homes Devices
  • Smart Speakers
  • Smart Cameras
  • Domestic Robots
• Automotive & Transportation Devices
  • Automobile Parts
  • Surveillance Cameras
  • Logistics Robots
  • Other Automotive & Transportation Devices
• Healthcare Devices
  • Medical Robots
  • Wearables
  • Other Healthcare Devices
• Industrial Devices
  • Industrial robots
  • Drones
  • Mv Cameras
• Aerospace & Defence Device
  • Service Robots
  • Other Aerospace & Defense Devices
• Construction Devices
  • Service Robots
  • Drones
• Other Verticals
  • By Device
    • Surveillance Cameras
    • Professional Service Robots
    • Wearables
    • Other Devices
  • Edge Servers
  • Drones

Edge Artificial Intelligence Market Size by Region

• Market Overview
• North America
  • USA
  • Canada
• Europe
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America
  • Brazil
  • Rest of Latin America
• Middle East & Africa (MEA)
  • GCC Countries
  • South Africa
  • Rest of MEA

Competitive Landscape

• Top 5 Player Comparison
• Market Positioning of Key Players, 2023
• Strategies Adopted by Key Market Players
• Recent Activities in the Market
• Key Companies Market Share (%), 2023

Key Company Profiles

• Hewlett Packard Enterprise (HPE) (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Samsung Electronics Co., Ltd. (South Korea)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Siemens AG (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NEC Corporation (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Advanced Micro Devices, Inc. (AMD) (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Huawei Technologies Co., Ltd. (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA Corporation (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services (AWS) (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Baidu, Inc. (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cisco Systems, Inc. (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Minima Ltd. (UK)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Accenture PLC (Ireland)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• MediaTek Inc. (Taiwan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Dell Technologies Inc. (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP SE (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Xilinx, Inc. (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Fujitsu Limited (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel Corporation (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qualcomm Inc. (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Renesas Electronics Corporation (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments