フォグコンピューティングの市場規模、シェア、成長分析、タイプ別、用途別、地域別 - 産業予測、2024年～2031年

世界のフォグコンピューティングの市場規模は、2022年に8,550万米ドルとなり、2023年の1億2,666万米ドルから、2031年までには43億1,438万米ドルに成長し、予測期間（2024年～2031年）のCAGRは48％で成長する見通しです。

フォグコンピューティング市場は、データセキュリティに対する意識の高まり、帯域幅の制約、既存のIoTシステム内のシンプルなアプリケーションへの依存度の高まりなど、さまざまな要因が重なって力強い成長を遂げています。データ量の多いIoTデバイスの普及に伴い、特にデータストリーミングによるシステムのレスポンスタイム向上とセキュリティ対策の強化が求められています。フォグコンピューティングは、拡張現実（AR）やIoTアプリケーションのネットワーク遅延を最小化し、リアルタイムのデータ処理を容易にすると同時に、解析のために大規模なデータセットをクラウドに転送する必要性を低減する能力を特徴としています。この分散型アプローチは、コンピューティングリソースをデータ生成デバイスに近づけることで、接続されるIoTデバイスの増加に伴い、データ処理における近接性への要求が高まることに対応します。しかし、標準化されたプロトコルや専門知識がないため、エンドユーザーがデータの検索や統合を効果的に管理する能力が低いなど、市場は大きな課題に直面しています。さらに、フォグデバイスは公共の場に設置されることが多く、干渉の影響を受けやすいです。さらに、不十分な分析、エッジデバイスへの計算能力拡張の制限、接続性、遅延、帯域幅をめぐる問題などの障害が、市場の成長をさらに制約します。空調に関する信頼性とコスト効率も懸念材料となります。市場情勢が進化するにつれ、潜在能力を最大限に引き出し、持続的な市場拡大を達成するためには、これらの課題に対処することが重要になります。

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
• 二次データと一次データの方法
• 市場規模推定
• 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
• 供給と需要のトレンド分析
• 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
• ポーター分析と影響
  • 競争企業間の敵対関係
  • 代替品の脅威
  • 買い手の交渉力
  • 新規参入業者の脅威
  • 供給企業の交渉力

主要な市場の考察

• 主要な成功要因
• 競合の程度
• 主要な投資機会
• 市場エコシステム
• 技術の進歩
• 規制情勢
• 特許分析
• ケーススタディ分析
• PESTEL分析
• スタートアップ分析
• 市場の魅力指数

世界のフォグコンピューティングの市場規模：タイプ別・CAGR（2024年～2031年）

• ハードウェア
  • ゲートウェイ
  • ルーター・スイッチ
  • IPビデオカメラ
  • センサー
  • マイクロデータセンサー
• ソフトウェア

世界のフォグコンピューティングの市場規模：用途別・CAGR（2024年～2031年）

• コネクテッドカー
• スマートグリッド
• スマートシティ
• コネクテッドヘルスケア
• スマート製造
• その他

世界のフォグコンピューティングの市場規模：地域別・CAGR（2024年～2031年）

• 北米（タイプ別、用途別）
  • 米国
  • カナダ
• 欧州（タイプ別、用途別）
  • 英国
  • ドイツ
  • スペイン
  • フランス
  • イタリア
  • その他欧州地域
• アジア太平洋（タイプ別、用途別）
  • 中国
  • インド
  • 日本
  • 韓国
  • その他アジア太平洋
• ラテンアメリカ（タイプ別、用途別）
  • ブラジル
  • その他ラテンアメリカ地域
• 中東・アフリカ（タイプ別、用途別）
  • 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（2023年）
• 主要な市場企業が採用した戦略
• 市場の最近の動向
• 企業の市場シェア分析（2023年）
• 主要企業の企業プロファイル
  • 会社概要
  • 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（2021年～2023年）

主要企業プロファイル

• Cisco Systems Inc.
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• ARM Holdings PLC（SoftBank）
• Fujitsu Limited
• Dell Technologies Inc.
• Schneider Electric SE
• GE Digital
• Toshiba Corporation
• ADLINK Technology Inc
• Cradlepoint Inc.
• MachineShop Inc
• Zebra Technologies Corporation
• Hitachi Vantara Corporation

結論と提言

Global Fog Computing Market size was valued at USD 85.5 million in 2022 and is poised to grow from USD 126.66 million in 2023 to USD 4314.38 million by 2031, growing at a CAGR of 48% in the forecast period (2024-2031).

The fog computing market is experiencing robust growth driven by a confluence of factors, including heightened awareness of data security, bandwidth constraints, and a rising reliance on simple applications within existing IoT systems. The proliferation of data-intensive IoT devices necessitates improved system response times and fortified security measures, particularly through data streaming. Fog computing is characterized by its ability to minimize network latency for augmented reality (AR) and IoT applications, facilitating real-time data processing while reducing the need to transfer large datasets to the cloud for analysis. This decentralized approach brings computing resources closer to data-generating devices, thereby addressing the increasing demand for proximity in data processing as the number of connected IoT devices expands. However, the market faces significant challenges, including the absence of standardized protocols and expert knowledge, which hamper end-user capability to effectively manage data retrieval and integration. Moreover, fog devices are often deployed in public settings, leaving them vulnerable to interference. Additionally, obstacles such as inadequate analytics, limitations in extending computational capacities to edge devices, and issues surrounding connectivity, latency, and bandwidth further constrain market growth. Reliability and cost efficiencies related to air conditioning also pose concerns. As the fog computing landscape evolves, addressing these challenges will be critical for maximizing its potential and achieving sustained market expansion.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Fog Computing 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.

Global Fog Computing Market Segmental Analysis

Global Fog Computing Market is segmented by Type, by Application, and by Region. Based on Type, the market is segmented into Hardware, and Software. Based on application, the market is segmented into Connected Vehicle, Building & Home Automation, Smart Energy, Smart Manufacturing, Connected health, Securities & emergencies, and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.

Driver of the Global Fog Computing Market

The fog computing market is experiencing significant growth fueled by the rising demand for real-time data processing, especially within IoT (Internet of Things) applications. Traditional cloud computing, while effective for various tasks, often struggles with latency and bandwidth limitations, particularly in scenarios requiring immediate data analysis and response. Fog computing mitigates these challenges by enhancing response times, reducing latency, and optimizing bandwidth usage, making it particularly suitable for critical applications such as autonomous vehicles, industrial automation, and smart city initiatives. As businesses increasingly recognize the importance of real-time decision-making and operational efficiency, the adoption of fog computing solutions continues to expand steadily.

Restraints in the Global Fog Computing Market

The global fog computing market faces several restraints, with security and privacy concerns being a major challenge. Issues such as data breaches and unauthorized access can hinder the widespread adoption of fog computing solutions. Furthermore, stringent legal regulations regarding data privacy, including GDPR and HIPAA, impose significant compliance requirements, complicating the implementation of these solutions. Since data is processed and stored at the network's edge, the number of potential access points for cyberattacks rises, necessitating organizations to adopt comprehensive security measures. This complex landscape necessitates careful navigation to ensure both security and compliance while leveraging fog computing technologies.

Market Trends of the Global Fog Computing Market

The Global Fog Computing market is witnessing a significant shift towards edge analytics and intelligence, driven by the integration of machine learning and artificial intelligence into data processing solutions. This trend enables businesses to enhance their data analysis capabilities, facilitating predictive maintenance and real-time monitoring, especially in sectors like manufacturing. The ability to generate immediate insights and responses contributes to improved operational efficiency and minimized downtime, positioning edge analytics as a critical component of modern fog computing infrastructures. As industries increasingly recognize the value of these capabilities, the demand for advanced edge-based solutions is anticipated to grow, further propelling the fog computing market.

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
  • Driver & Opportunities
  • Restraints & Challenges
• Porters Analysis & Impact
  • 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
• Technological Advancement
• Regulatory Landscape
• Patent Analysis
• Case Study Analysis
• PESTEL Analysis
• Startup Analysis
• Market Attractiveness Index

Global Fog Computing Market Size by Type & CAGR (2024-2031)

• Hardware
  • Gateways
  • Routers & Switches
  • IP Video Cameras
  • Sensors
  • Micro Data Sensors
• Software

Global Fog Computing Market Size by Application & CAGR (2024-2031)

• Connected vehicles
• Smart Grids
• Smart Cities
• Connected Healthcare
• Smart manufacturing
• Others

Global Fog Computing Market Size by Region & CAGR (2024-2031)

• North America, (by Type, by Application)
  • US
  • Canada
• Europe, (by Type, by Application)
  • UK
  • Germany
  • Spain
  • France
  • Italy
  • Rest of Europe
• Asia-Pacific, (by Type, by Application)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America, (by Type, by Application)
  • Brazil
  • Rest of Latin America
• Middle East & Africa, (by Type, by Application)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2023
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2023
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

• Cisco Systems Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ARM Holdings PLC (SoftBank)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Fujitsu Limited
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Dell Technologies Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Schneider Electric SE
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• GE Digital
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Toshiba Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ADLINK Technology Inc
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cradlepoint Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• MachineShop Inc
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Zebra Technologies Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Hitachi Vantara Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendation