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市场调查报告书
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1444857

Edge Analytics - 市占率分析、产业趋势与统计、成长预测（2024 - 2029 年）

Edge Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3个工作天内

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简介目录

边缘分析市场规模预计到 2024 年为 138.8 亿美元，预计到 2029 年将达到 417.5 亿美元，在预测期内（2024-2029 年）CAGR为 24.64%。

边缘分析 - 市场

边缘分析是一项新兴技术，由于更接近资料来源，预计将减轻云端伺服器的负载。边缘分析可以即时分析资料，从而实现对云端服务的更高依赖。製造、医疗保健和零售等行业预计将从处理资料的即时可用性中获益最多，使他们能够利用即时决策实现更高的效率。

主要亮点

  • 边缘分析是一种资料收集和分析策略，其中对节点、网路交换器或另一个网路端点边缘的资料进行自动分析计算，而不是等待资料转发回集中式资料储存。
  • 网路和云端采用的增加为未来全球边缘分析产业提供了巨大的前景。此外，对自动化的需求不断增长推动了市场的成长。
  • 在连接设备的帮助下，大量资料的激增正在推动边缘分析市场的成长，即时智慧成为网路设备上边缘分析成长的催化剂，并采用边缘分析，提高可扩展性和成本优化。
  • 然而，缺乏安装和管理基于边缘的解决方案的熟练人员阻碍了市场发展。预计网路节点效率的提高将为整个预测年度扩大边缘分析市场规模提供利润丰厚的前景。
  • COVID-19 大流行对边缘分析市场产生了积极影响，由于远端工作趋势和员工在COVID-19 封锁期间无法工作，该市场在此期间表现出显着增长，这促使了对自动化和物联网解决方案的需求在此期间，协助边缘分析市场的成长。大流行后，随着数位化技术的日益采用，市场也在快速成长。

边缘分析市场趋势

互联设备上数据传播的增加推动了市场成长

  • 每天产生的大量资料储存在云端中，进一步推动了对边缘分析的需求。据思科系统公司称，2017 年拉丁美洲消费者管理的网际网路协定 (IP) 月流量资料为每月 0.7 艾字节，预计到 2022 年将成长至 1.92 艾字节。
  • 据 Errision 称，固定无线接入 (FWA) 的每月资料流量预计为2021 年的16.6 艾字节，高于2020 年的9.7 艾字节。预计未来几年将出现强劲增长，预计到2021 年每月FWA资料流量将达到近 130 艾字节。2028 年。FWA是一项透过5G、4G或3G实现固定宽频连接的技术，可在基础设施有限的地区提供宽频连线。到 2021 年，FWA资料流量将超过 5G 行动连线流量，但预计 5G 行动流量到 2024 年将超过 FWA 流量。
  • 此外，大量资料储存在边缘，希捷预计到 2025 年，物联网设备将产生超过 90 zetta位元组的资料。预计资料准备对于物联网、人工智慧和区块链等下一代技术至关重要。
  • 此外，即时收集资料的自动分析计算的边缘分析功能，而不是将资料发送回集中式资料存储或伺服器，将成为智慧城市等新概念的核心，因此增加了对智慧城市技术预计将推动边缘分析市场的发展，从而为最终用户提供更快、响应更快的服务。
  • 边缘运算在技术领域已经存在了一段时间，它极大地提高了网路效能。由于边缘运算，资料分析部分依赖网路频宽来将资料保存在靠近资料来源的地方。此外，边缘运算使资料的处理和储存远离孤岛设置，更接近最终用户，并在设备、雾层或边缘资料中心进行处理。

北美有望成为最大市场

  • 由于在政府法规和合规性的支持下，中小型企业对边缘分析的接受度不断提高，美国仍然是边缘分析的重要市场。此外，边缘分析市场的显着成长可归因于主要采用边缘分析服务的製造和电信产业的高度集中。对边缘分析的需求与云端流量直接相关。由于云端流量的大幅增加，可以观察到市场的显着成长。
  • 北美保险公司正在改变他们利用云端运算的方式。虽然财产和意外伤害保险公司以及人寿保险公司都采用云端来提高敏捷性、提高营运效率、吸引新人才并降低营运成本，但保险公司将云端视为业务资产的趋势正在显现。透过使用分散式边缘运算架构，可以显着降低云端运营成本，其中边缘设备共同处理云端设备无法独立处理的关键操作，从而减少对云端的依赖。
  • 此外，该地区还见证了感测器技术的显着增长。透过将感测器技术创新与降低硬体成本相结合，可以建立边缘到云端的范例。具有处理单元的感测器可以帮助在不一致的云端环境中采取关键操作，并随后与云端同步。
  • 众所周知，加拿大是新技术的早期采用者。目前大多数新技术都是资料密集的。它们创建、处理和传输大量资料，因此由资料中心和云端组成的当前基础设施正在逐渐接近其最大容量。
  • 鑑于目前产生和使用的新资料量，这些基础设施将无法支援客户的需求。在涉及的所有参数中，延迟将是业务最关键的因素。

边缘分析产业概述

边缘分析市场高度分散，主要参与者包括 Cisco Systems Inc.、Oracle Corporation、SAS Institute Inc.、IBM Corporation 和 Apigee Corporation。市场参与者正在采取合作伙伴关係、创新和收购等策略来增强其产品供应并获得可持续的竞争优势。

  • 2022 年 6 月 - IT 基础架构服务领先供应商之一 Kyndryl 与思科宣布建立技术合作伙伴关係，以协助企业客户加速向由思科解决方案和 Kyndryl 託管服务驱动的资料驱动型组织转型。
  • 2022 年 6 月 - 先锋合作伙伴 SAS 和 ClearBlade 正在协助製造、石油和天然气以及运输等资产密集型行业的运营经理通过以更简单的方式释放所有流资料的价值，最大限度地提高其运营技术(OT ) 设备的效率和成本效益的方式。合作伙伴正在物联网连接资产上利用人工智慧 (AI) 和机器学习，使 OT 管理人员能够在边缘和云端存取、分析流资料并采取行动，而无需依赖 IT 或资料科学家，从而缩短了从几个月到几週。

额外的好处：

  • Excel 格式的市场估算 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章：简介

  • 研究假设
  • 研究范围

第 2 章：研究方法

第 3 章：执行摘要

第 4 章：市场洞察

  • 市场概况
  • 产业吸引力 - 波特五力分析
    • 新进入者的威胁
    • 买家的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争激烈程度
  • 技术简介
    • 描述性分析
    • 预测分析
    • 规范性分析
    • 诊断分析
  • 产业价值链分析
  • COVID-19 对市场的影响

第 5 章：市场动态

  • 市场驱动因素
    • 物联网中连接设备数量的成长
    • 透过连接设备传播的数据不断增加
  • 市场限制
    • 新兴阶段采用边缘技术
    • 资料安全和安保的威胁

第 6 章：市场细分

  • 依部署类型
    • 本地部署
    • 云
  • 按组件
    • 解决方案
    • 服务（专业和託管服务）
  • 按最终用户产业
    • 银行、金融服务和保险 (BFSI)
    • 资讯科技和电信
    • 製造业
    • 卫生保健
    • 零售
    • 其他最终用户产业
  • 按地理
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 欧洲其他地区
    • 亚太地区
      • 日本
      • 中国
      • 印度
      • 亚太地区其他地区
    • 拉丁美洲
    • 中东和非洲

第 7 章：竞争格局

  • 公司简介
    • Cisco Systems Inc.
    • Oracle Corporation
    • SAS Institute Inc.
    • IBM Corporation
    • Apigee Corporation
    • Predixion Software
    • AGT International Inc.
    • Foghorn Systems
    • CGI Group Inc.
    • Intel Corporation
    • Greenwave Systems
    • Microsoft Corporation

第 8 章：投资分析

第 9 章：市场的未来

简介目录
Product Code: 62346

The Edge Analytics Market size is estimated at USD 13.88 billion in 2024, and is expected to reach USD 41.75 billion by 2029, growing at a CAGR of 24.64% during the forecast period (2024-2029).

Edge Analytics - Market

Edge Analytics is an emerging technology expected to ease the load on cloud servers as it is closer to the data source. Edge Analytics can analyze data in real-time, enabling higher dependencies on cloud services. Industries like Manufacturing, healthcare, and retail are expected to benefit the most from the real-time availability of processed data, enabling them to achieve higher efficiencies using real-time decision-making.

Key Highlights

  • Edge analytics is a data collecting and analysis strategy in which an automated analytical calculation is done on data at the edge of a node, network switch, or another network endpoint instead of waiting for the data to be relayed back to centralized data storage.
  • An increase in internet and cloud adoption offers enormous prospects for the global edge analytics industry in the future. Moreover, the rising need for automation boosts the market growth.
  • The proliferation of a large amount of data with the help of connected devices is driving the growth of the edge analytics market, with real-time intelligence acting as a catalyst for the growth of edge analytics on network devices and adopting edge analytics, increasing scalability and cost optimization.
  • However, the lack of skilled personnel to install and manage edge-based solutions hinders market development. The increasing network node efficiency is predicted to provide lucrative prospects for advancing the edge analytics market size throughout the forecast year.
  • The COVID-19 pandemic had a positive impact on the edge analytics market, which exhibited significant growth during the period, owing to remote working trends and employee unavailability during the period of COVID-19 lockdowns, which prompted the need for automation and IoT solutions during the period, assisting in the growth of the edge analytics market during the period. Post-pandemic also, the market is growing rapidly with the increased adoption of digitization technologies.

Edge Analytics Market Trends

Rising Propagation of Data Over Connected Devices Drives the Market Growth

  • The need for Edge Analytics is further driven by the massive amount of data generated on everyday, which is stored on the cloud. According to Cisco Systems, the data on consumer-managed Internet Protocol (IP) monthly traffic in Latin America was 0.7 exabytes per month in 2017, expected to grow to 1.92 exabytes in 2022.
  • According to Errision, Monthly data traffic through fixed wireless access (FWA) was measured at 16.6 exabytes in 2021, up from 9.7 exabytes in 2020. Strong growth is expected over the coming years, with monthly FWA data traffic forecast to reach almost 130 exabytes by 2028. FWA is a technology enabling a fixed broadband connection via 5G, 4G, or 3G and can provide broadband connections in areas with limited infrastructure. FWA data traffic outstripped that of 5G mobile connections in 2021, though 5G mobile traffic is expected to surpass FWA traffic by 2024.
  • Moreover, a large amount of data is stored on the Edge, and Seagate estimates that the IoT devices will generate more than 90 zettabytes of data by 2025. Data readiness is expected to be critical for next-generation technologies like IoT, AI, and blockchain.
  • Also, the edge analytics capabilities of automatic analytical computation of collected data in real-time, instead of sending the data back to the centralized data store or server, will be the core of new concepts, like smart cities, due to which increased investment in smart cities technology is expected to boost the market for edge analytics that will provide faster and responsive services to end user.
  • Edge Computing has been in the technological space for some time, surging network performance. Due to edge computing, data analytics partly relies on the network bandwidth to save data close to the data source. Also, edge computing makes data handled and stored away from the silo setup closer to end users, with processing in the device, the fog layer, or the edge data center.

North America is Expected to Register the Largest Market

  • The United States remains a prominent market for Edge Analytics due to the increasing acceptance of edge analytics among small and medium-scale firms, supported by government regulations and compliance. Additionally, the significant growth of the edge analytics market can be attributed to the high concentration of manufacturing and telecommunication industries that majorly adopt edge analytics services. The demand for edge analytics is directly related to cloud traffic. Due to the huge increase in cloud traffic, significant growth in the market can be observed.
  • North American Insurance companies are changing the way they utilize cloud computing. While both property & casualty and life insurers have employed the cloud to increase agility, increase operating efficiency, attract new talent and reduce operating costs, there is an emerging trend in insurers viewing the cloud as a business asset. Cloud operations cost can be significantly reduced by using a distributed edge computing architecture, where edge devices together process a critical operation, which a cloud device cannot process independently, thereby reducing cloud dependency.
  • Also, significant growth in sensor technology can be witnessed in the region. By combining sensor technology innovations with reducing hardware costs, the edge-to-cloud paradigm can be established. Sensors with processing units can help take critical actions in an inconsistent cloud environment and later synchronize with the cloud.
  • Canada is known to be an early adopter of new technologies. Most new technologies at present are data intensive. They create, process, and transfer large amounts of data, due to which the current infrastructure, consisting of data centers and the cloud, is inching toward its maximum capacity.
  • With the amount of new data generated and used at present, these infrastructures won't support the needs of their customers. Of all the parameters involved, latency will be the most crucial factor for the business.

Edge Analytics Industry Overview

The edge analytics market is highly fragmented with the presence of major players like Cisco Systems Inc., Oracle Corporation, SAS Institute Inc., IBM Corporation, and Apigee Corporation. Players in the market are adopting strategies such as partnerships, innovations, and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

  • June 2022 - Kyndryl, one of the leading providers of IT infrastructure services, and Cisco announced a technological partnership to assist corporate clients in accelerating their transition into data-driven organizations driven by Cisco solutions and Kyndryl managed services.
  • June 2022 - Pioneering partners SAS and ClearBlade are assisting operations managers in asset-intensive industries such as manufacturing, oil and gas, and transportation in maximizing the effectiveness of their operational technology (OT) equipment by unlocking the value of all streaming data in a simpler and cost-effective manner. The partners are leveraging artificial intelligence (AI) and machine learning on IoT-connected assets to enable OT executives to access, analyze, and act on streaming data at the Edge and in the Cloud without relying on IT or data scientists, shortening the process from months to weeks.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Force Analysis
    • 4.2.1 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Technology Snapshot
    • 4.3.1 Descriptive Analytics
    • 4.3.2 Predictive Analytics
    • 4.3.3 Prescriptive Analytics
    • 4.3.4 Diagnostic Analytics
  • 4.4 Industry Value Chain Analysis
  • 4.5 Impact of COVID-19 on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growth in Number of Connected Devices in IoT
    • 5.1.2 Rising Propagation of Data Over Connected Devices
  • 5.2 Market Restraints
    • 5.2.1 Adoption of Edge Technology in Nascent stage
    • 5.2.2 Threat of Data Safety and Security

6 MARKET SEGMENTATION

  • 6.1 By Deployment Type
    • 6.1.1 On-Premises
    • 6.1.2 Cloud
  • 6.2 By Component
    • 6.2.1 Solutions
    • 6.2.2 Services (Professional and Managed Services)
  • 6.3 By End User Industry
    • 6.3.1 Banking, Financial Services, and Insurance (BFSI)
    • 6.3.2 IT and Telecommunication
    • 6.3.3 Manufacturing
    • 6.3.4 Healthcare
    • 6.3.5 Retail
    • 6.3.6 Other End-user Industry
  • 6.4 By Geography
    • 6.4.1 North America
      • 6.4.1.1 United States
      • 6.4.1.2 Canada
    • 6.4.2 Europe
      • 6.4.2.1 United Kingdom
      • 6.4.2.2 Germany
      • 6.4.2.3 France
      • 6.4.2.4 Rest of Europe
    • 6.4.3 Asia Pacific
      • 6.4.3.1 Japan
      • 6.4.3.2 China
      • 6.4.3.3 India
      • 6.4.3.4 Rest of Asia Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Cisco Systems Inc.
    • 7.1.2 Oracle Corporation
    • 7.1.3 SAS Institute Inc.
    • 7.1.4 IBM Corporation
    • 7.1.5 Apigee Corporation
    • 7.1.6 Predixion Software
    • 7.1.7 AGT International Inc.
    • 7.1.8 Foghorn Systems
    • 7.1.9 CGI Group Inc.
    • 7.1.10 Intel Corporation
    • 7.1.11 Greenwave Systems
    • 7.1.12 Microsoft Corporation

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET