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市場調查報告書
商品編碼
1433014

霧網:市場佔有率分析、產業趨勢與統計、成長預測(2024-2029)

Fog Networking - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

霧網路市場規模預計到 2024 年為 19 億美元,預計到 2029 年將達到 38 億美元,在預測期內(2024-2029 年)複合年成長率為 14.75%。

霧網路市場

霧網路對於科技市場來說是新事物,但它已經在市場上站穩了腳步。

主要亮點

  • 霧網路將雲端運算技術擴展到網路邊緣,使其成為物聯網、5G、人工智慧和許多其他需要更快即時分析資料的技術的理想選擇。例如,花旗銀行利用信標技術了解ATM用戶的購買行為,並為客戶在當地使用花旗卡進行交易提供獎勵。
  • 霧節點靠近終端設備放置,充當智慧處理器,能夠分析即時資料並提供即時結果。
  • 從個人穿戴裝置和家用電器到工業感測器,設備會產生大量資料,必須對這些數據進行處理才能獲得見解。霧網路不僅提供低延遲和即時分析,還解決了雲端運算中普遍存在的安全性問題。
  • 霧網路在許多需要低延遲的應用中非常有用,例如聯網汽車、連線健診和交通管理。例如,如果延遲太長,智慧交通將不起作用。

霧聯網市場趨勢

智慧電錶實現高成長

  • 智慧電錶是一種記錄電能消費量並將其傳送給供應商公司的電子設備。
  • 全球許多電力公司正計劃部署智慧電錶來遠端監控消費者的能源消耗情況並防止能源消耗詐欺。此外,智慧能源和計量解決方案在企業和家庭中變得越來越普及。
  • 智慧電錶收集的資料足以推斷消費者行為、睡眠週期、家庭佔用、用餐習慣等。然而,為了使其有意義,必須即時分析資料。
  • 在家庭層級收集的資料可供各種組織使用。例如,電力公司可以根據消耗的能源單位銷售產品和服務。
  • 智慧電錶會產生大量資料,即使使用雲端運算也很難處理和分析,因此我們提供一個地方來收集、計算和儲存智慧電錶資料,然後再將其發送到雲端,這就需要霧運算。

北美佔最大市場佔有率

  • 北美地區佔據了最大的市場佔有率,因為大多數霧網路公司都位於那裡。此外,該地區營運的大多數雲端處理供應商已經開始提供霧網路硬體和軟體解決方案,並且與該技術相容。
  • OpenFog聯盟由思科、戴爾、英特爾、微軟等公司組成,是聯盟,旨在標準化和普及各種能力和領域的霧運算。更多的公司正在加入這個聯盟,以深入了解霧計算。
  • 北美地區也是物聯網和 5G 技術的領導者,產生大量必須即時處理的資料。
  • 隨著該地區聯網汽車的出現,預計該市場將顯著成長,因為車輛不僅需要相互通訊。此外,這些車輛需要即時分析資料才能準確運作。

霧網產業概況

霧網路市場本質上與許多國際公司競爭激烈。市場集中,各跨國公司紛紛採取產品創新、併購等策略來擴大影響力,在競爭中生存。

  • 2018 年 4 月 - Amazon 開發技術,透過 AWS Greengrass 將機器學習的智慧引入邊緣運算。最新版本(v1.5.0)可以在基於NVIDIA Jetson TX2和Intel Atom架構的邊緣設備上本地運行Apache MXNet和TensorFlow Lite。

其他福利:

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究成果
  • 調查先決條件
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場動態

  • 市場概況
  • 市場促進因素與市場約束因素介紹
  • 市場促進因素
    • 即時運算的需求不斷成長
    • 由於物聯網設備的普及,資料迅速增加
  • 市場限制因素
    • 結構和安全問題
  • 產業吸引力-波特五力分析
    • 新進入者的威脅
    • 買家/消費者的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭公司之間敵對關係的強度

第5章技術藍圖

第6章市場區隔

  • 按成分
    • 硬體
    • 軟體和服務
  • 按最終用戶應用程式
    • 智慧電錶
    • 建築/家庭自動化
    • 智慧製造
    • 連網型醫療保健
    • 連網型車輛
    • 其他最終用戶應用程式
  • 地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 世界其他地區

第7章 競爭形勢

  • 公司簡介
    • Amazon Web Services, Inc.
    • Cisco Systems, Inc.
    • Dell Inc.
    • IBM Corporation
    • Intel Corporation
    • Microsoft Corporation
    • Nebbiolo Technologies
    • Nokia Corporation
    • Qualcomm Corporation
    • Tata Consultancy Services Limited

第8章投資分析

第9章 市場機會及未來趨勢

簡介目錄
Product Code: 58738

The Fog Networking Market size is estimated at USD 1.9 billion in 2024, and is expected to reach USD 3.80 billion by 2029, growing at a CAGR of 14.75% during the forecast period (2024-2029).

Fog Networking - Market

Although fog networking is a new technology in the technological market, it is, however, already making its mark in the market.

Key Highlights

  • Fog networking enlarges the technology of cloud computing to the network edge, and thus makes it ideal for IoT, 5G, AI, and many more technologies that require real-time analysis of data, at a faster pace. For instance, Citi Bank uses beacon technology to understand ATM users' purchasing behavior and provides incentives to customers to use Citi cards in local areas for transactions.
  • Fog nodes are deployed close to end devices, and they act as smart processors that have the capability to analyze real-time data and give instant results.
  • Devices, ranging from personal wearables and home appliances to industrial sensors, generate a vast amount of data that needs to be processed, in order to gain insights. Fog networking not only provides real-time analysis with low latency, but also addresses security concerns that prevail in cloud computing.
  • Fog networking is useful in applications like connected vehicles, connected healthcare, traffic management, and many other that require low latency. For instance, smart traffic will not work if the latency is too high.

Fog Networking Market Trends

Smart Meter to Witness Higher Growth

  • A smart meter is an electronic device that records the consumption of electrical energy units and communicates it to the power company from which the power is supplied.
  • Many power companies across the world are planning to adopt smart meters to remotely monitor consumers' energy consumptions and to prevent fraudulent energy consumption. Moreover, smart energy and metering solutions are becoming more prevalent in both businesses and households.
  • The data collected by smart meters is sufficient to draw inferences, such as the behavior, sleeping cycle, home occupancy, eating routines, etc. of the consumers. However, for it to make sense, the data needs to be analyzed in real-time.
  • The data collected per household can be used by various organizations. For instance, an electric or power company can sell its products or services based on energy units consumed.
  • As smart meters produce a tremendous amount of data, which is hard to process and analyze, even with cloud computing, there is a need for fog computing, which offers a place for collecting, computing, and storing smart meter data before transmitting it to the cloud.

North America Occupies the Largest Market Share

  • The North American region occupies the largest share in the market, as most fog networking enterprises are based out of North America. Moreover, most cloud computing providers working in this region have already started offering fog networking hardware and software solutions, to stay up to date with the technology.
  • The OpenFog Consortium, which is a consortium of high tech companies and academic institutions across the world, aiming at the standardization and promotion of fog computing in various capacities and fields, including companies like Cisco, Dell, Intel, and Microsoft, is also headquartered in the United States. More companies are joining this consortium, to gain insights about fog computing.
  • The North American region is also the leader in IoT and 5G technology, which generates a huge amount of data to be processed in real time.
  • With the emergence of connected cars in the region, the market is expected to witness huge growth, as the cars will need to communicate with not only each other but also traffic lights, where traffic lights will act as fog nodes. Moreover, these cars will require real-time analysis of data to function accurately.

Fog Networking Industry Overview

The fog networkingmarket is competitive in nature, with many international players. The market is concentrated, with the presence of various multinationals focusing on strategies like product innovation, mergers, and acquisitions, to expand their reach and stay ahead of the competition.

  • April 2018 - Amazon developed a technology tobring machine learning smarts to edge computing, through AWS Greengrass. The latest version (v1.5.0) can run Apache MXNet and TensorFlow Lite models locally on edge devices based on NVIDIA Jetson TX2 and Intel Atom architectures.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Growing Demand for Real-time Computing
    • 4.3.2 Proliferation of IoT Devices, Leading to an Exponential Increase in Data
  • 4.4 Market Restraints
    • 4.4.1 Structural and Security Issues
  • 4.5 Industry Attractiveness - Porter's Five Force Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 TECHNOLOGY ROADMAP

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Hardware
    • 6.1.2 Software and Service
  • 6.2 By End-user Application
    • 6.2.1 Smart Meter
    • 6.2.2 Building and Home Automation
    • 6.2.3 Smart Manufacturing
    • 6.2.4 Connected Healthcare
    • 6.2.5 Connected Vehicle
    • 6.2.6 Other End-user Applications
  • 6.3 Geography
    • 6.3.1 North America
    • 6.3.2 Europe
    • 6.3.3 Asia-Pacific
    • 6.3.4 Rest of the World

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Amazon Web Services, Inc.
    • 7.1.2 Cisco Systems, Inc.
    • 7.1.3 Dell Inc.
    • 7.1.4 IBM Corporation
    • 7.1.5 Intel Corporation
    • 7.1.6 Microsoft Corporation
    • 7.1.7 Nebbiolo Technologies
    • 7.1.8 Nokia Corporation
    • 7.1.9 Qualcomm Corporation
    • 7.1.10 Tata Consultancy Services Limited

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS