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エッジコンピューティングにおけるAIの世界市場：2025年～2032年

Global AI in Edge Computing Market - 2025-2032

出版日
ページ情報
英文 180 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
エッジコンピューティングにおけるAIの世界市場：2025年～2032年
出版日: 2025年03月20日
発行: DataM Intelligence
ページ情報: 英文 180 Pages
納期: 即日から翌営業日
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  • 概要
  • 目次
概要

世界のエッジコンピューティングにおけるAIの市場規模は、2024年に165億4,000万米ドルとなりました。同市場は、2032年には838億6,000万米ドルに達すると予測され、予測期間の2025年～2032年のCAGRは22.50％となる見込みです。

世界のエッジコンピューティングにおける人工知能（AI）市場は、リアルタイムのデータ処理に対する需要の高まりとモノのインターネット（IoT）デバイスの普及によって、急速な成長を遂げています。エッジデバイスへのAI機能の統合は、データ生成元でのリアルタイム分析と意思決定を可能にすることで、産業を変革しています。例えば、McDonaldはAIを搭載したドライブスルーシステムやインターネットに接続された厨房機器を導入し、顧客サービスと業務効率を高めています。

IoTデバイスの急激な増加は、エッジコンピューティングにおけるAIの重要な推進力です。より多くのデバイスが相互接続されるようになると、生成されるデータ量が大幅に増加し、効率的なデータ処理方法が必要になります。エッジコンピューティングは、より発生源に近い場所でデータ分析を可能にし、待ち時間と帯域幅の要件を削減することで、このニーズに対応します。

AIの統合により、実用的な洞察をリアルタイムで導き出す能力がさらに強化され、自律走行車、スマートシティ、産業オートメーションなどのアプリケーションに不可欠となります。

当レポートでは、世界のエッジコンピューティングにおけるAI市場について調査し、市場の概要とともに、コンポーネント別、展開タイプ別、組織規模別、技術別、用途別、最終用途産業別、地域別動向、競合情勢、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 調査手法と範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
    • 抑制要因
    • 機会
    • 影響分析

第5章 業界分析

第6章 コンポーネント別

  • ハードウェア
  • ソリューション
  • サービス

第7章 展開タイプ別

  • オンプレミス
  • クラウドベース

第8章 組織規模別

  • 大企業
  • 中小企業

第9章 技術別

  • 機械学習
  • 自然言語処理（NLP）
  • コンテキスト認識コンピューティング
  • その他

第10章 用途別

  • 産業IoT
  • リモートモニタリング
  • コンテンツ配信
  • ビデオ分析
  • AR&VR
  • その他

第11章 最終用途産業別

  • 銀行、金融サービス、保険
  • 小売
  • 政府・防衛
  • 製造業
  • 企業
  • ヘルスケア
  • 自動車・輸送
  • その他

第12章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他
  • 南米
    • ブラジル
    • アルゼンチン
    • その他
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他
  • 中東・アフリカ

第13章 競合情勢

第14章 企業プロファイル

  • NVIDIA
  • Amazon Web Services, Inc.
  • Arctic Wolf Networks Inc.
  • Tata Consultancy Services
  • Microsoft Corporation
  • Infosys
  • IBM Corporation
  • Intel Corporation
  • Cisco Systems, Inc.
  • Nokia

第15章 付録

目次
Product Code: ICT9300

Global AI in Edge Computing Market reached US$ 16.54 billion in 2024 and is expected to reach US$ 83.86 billion by 2032, growing with a CAGR of 22.50% during the forecast period 2025-2032.

The global Artificial Intelligence (AI) in Edge Computing market is experiencing rapid growth, driven by the increasing demand for real-time data processing and the proliferation of Internet of Things (IoT) devices. The integration of AI capabilities into edge devices is transforming industries by enabling real-time analytics and decision-making at the source of data generation. For instance, McDonald's has implemented AI-powered drive-through systems and internet-connected kitchen equipment to enhance customer service and operational efficiency.

Dynamics

Driver - Proliferation of IoT Devices

The exponential growth of IoT devices is a significant driver for AI in edge computing. As more devices become interconnected, the volume of data generated increases substantially, necessitating efficient data processing methods. Edge computing addresses this need by enabling data analysis closer to the source, reducing latency and bandwidth requirements.

The integration of AI further enhances the ability to derive actionable insights in real-time, making it essential for applications like autonomous vehicles, smart cities, and industrial automation.

Restraint - High Initial Investment and Infrastructure Challenges

Implementing AI in edge computing requires substantial initial investments in hardware, software, and network infrastructure. Organizations may face challenges in upgrading existing systems to support edge computing capabilities, and the costs associated with deploying and maintaining these systems can be prohibitive.

Additionally, ensuring data security and compliance with regulatory standards adds complexity to the implementation process, potentially hindering the widespread adoption of AI in edge computing solutions.

Segment Analysis

The global AI in Edge Computing market is segmented based on component, deployment type, organization size, technology, application, end-use industry, and region.

Industrial Internet of Things (IIoT) represent the largest application segment in the global market.

The Industrial Internet of Things (IIoT) represents the largest segment within the AI in edge computing market, as industries increasingly adopt connected devices to enhance operational efficiency, safety, and productivity. In the energy sector, edge computing facilitates efficient management of distributed energy resources. General Electric employs edge computing techniques to estimate the lifespan of components in heat recovery steam generators, which are subject to extreme conditions, thereby optimizing maintenance schedules and improving reliability. Furthermore, the transportation industry benefits from edge computing through enhanced vehicle-to-infrastructure communication. In Ulm, Germany, a project involving Bosch and the University of Ulm integrates sensors into traffic infrastructure to assist autonomous vehicles in navigating complex urban environments.

Geographical Penetration

North America leads the AI in edge computing market, attributed to its advanced technological infrastructure, significant investments in AI research and development, and a robust ecosystem of tech companies.

The region's emphasis on maintaining leadership in AI has led to substantial investments in infrastructure. For instance, Microsoft and BlackRock announced a $30 billion fund to invest in AI infrastructure include data centers and energy project, focusing on enhancing AI capabilities in the United States. The U.S. government has also prioritized self-sufficiency in semiconductor production, as highlighted by the 2022 CHIPS Act, to reduce reliance on foreign manufacturing and bolster domestic AI capabilities.

Moreover, North American companies are at the forefront of integrating AI into edge computing. Qualcomm, for example, is expanding beyond mobile handsets into automotive and IoT sectors, leveraging its Snapdragon platform to deliver AI capabilities at the edge. The company projects its automotive revenue to reach $4 billion by fiscal 2026 and $8 billion by 2029, with IoT revenue expected to grow to $14 billion, reflecting the region's dynamic market landscape.

Technology Roadmap

The global AI in Edge Computing market is expected to evolve significantly over the coming years, driven by advancements in network infrastructure, the expansion of IoT, and the increasing adoption of artificial intelligence (AI) at the edge. Government initiatives, regulatory frameworks, and private sector investments are set to accelerate AI adoption in cybersecurity across multiple industries.

Competitive Landscape

The major Global players in the market include NVIDIA, Amazon Web Services, Inc., Arctic Wolf Networks Inc., Tata Consultancy Services, Microsoft Corporation, Infosys, IBM Corporation, Intel Corporation, Cisco Systems, Inc., and Nokia.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Deployment Type
  • 3.3. Snippet by Organization Size
  • 3.4. Snippet by Technology
  • 3.5. Snippet by Application
  • 3.6. Snippet by End-Use Industry
  • 3.7. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Proliferation of IoT Devices
    • 4.1.2. Restraints
      • 4.1.2.1. High Initial Investment and Infrastructure Challenges
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Value Chain Analysis
  • 5.4. Pricing Analysis
  • 5.5. Regulatory and Compliance Analysis
  • 5.6. AI & Automation Impact Analysis
  • 5.7. R&D and Innovation Analysis
  • 5.8. Sustainability & Green Technology Analysis
  • 5.9. Cybersecurity Analysis
  • 5.10. Next Generation Technology Analysis
  • 5.11. Technology Roadmap
  • 5.12. DMI Opinion

6. By Component

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 6.1.2. Market Attractiveness Index, By Component
  • 6.2. Hardware*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Solutions
  • 6.4. Services

7. By Deployment Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 7.1.2. Market Attractiveness Index, By Deployment Type
  • 7.2. On-premises*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Cloud-based

8. By Organization Size

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 8.1.2. Market Attractiveness Index, By Organization Size
  • 8.2. Large enterprises*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Small & Medium Sized Enterprises

9. By Technology

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.1.2. Market Attractiveness Index, By Technology
  • 9.2. Machine Learning*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Natural Language Processing (NLP)
  • 9.4. Context-aware computing
  • 9.5. Others

10. By Application

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.1.2. Market Attractiveness Index, By Application
  • 10.2. IIoT*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Remote Monitoring
  • 10.4. Content Delivery
  • 10.5. Video Analytics
  • 10.6. AR&VR
  • 10.7. Others

11. By End-Use Industry

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 11.1.2. Market Attractiveness Index, By End-Use Industry
  • 11.2. Banking, Financial Services and Insurance*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Retail
  • 11.4. Government & Defense
  • 11.5. Manufacturing
  • 11.6. Enterprise
  • 11.7. Healthcare
  • 11.8. Automotive & Transportation
  • 11.9. Others

12. By Region

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2. Market Attractiveness Index, By Region
  • 12.2. North America
    • 12.2.1. Introduction
    • 12.2.2. Key Region-Specific Dynamics
    • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.9.1. US
      • 12.2.9.2. Canada
      • 12.2.9.3. Mexico
  • 12.3. Europe
    • 12.3.1. Introduction
    • 12.3.2. Key Region-Specific Dynamics
    • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.9.1. Germany
      • 12.3.9.2. UK
      • 12.3.9.3. France
      • 12.3.9.4. Italy
      • 12.3.9.5. Spain
      • 12.3.9.6. Rest of Europe
  • 12.4. South America
    • 12.4.1. Introduction
    • 12.4.2. Key Region-Specific Dynamics
    • 12.4.3. Key Region-Specific Dynamics
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.4.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.4.10. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.10.1. Brazil
      • 12.4.10.2. Argentina
      • 12.4.10.3. Rest of South America
  • 12.5. Asia-Pacific
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry
    • 12.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.9.1. China
      • 12.5.9.2. India
      • 12.5.9.3. Japan
      • 12.5.9.4. Australia
      • 12.5.9.5. Rest of Asia-Pacific
  • 12.6. Middle East and Africa
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Use Industry

13. Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

  • 14.1. NVIDIA*
    • 14.1.1. Company Overview
    • 14.1.2. Product Portfolio and Description
    • 14.1.3. Financial Overview
    • 14.1.4. Key Developments
  • 14.2. Amazon Web Services, Inc.
  • 14.3. Arctic Wolf Networks Inc.
  • 14.4. Tata Consultancy Services
  • 14.5. Microsoft Corporation
  • 14.6. Infosys
  • 14.7. IBM Corporation
  • 14.8. Intel Corporation
  • 14.9. Cisco Systems, Inc.
  • 14.10. Nokia

LIST NOT EXHAUSTIVE

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us