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边缘分析市场 - 全球产业规模、份额、趋势、机会和预测。 2018-2028F 按元件、类型、按应用、部署模式、最终用户、地区、竞争细分
市场调查报告书
商品编码
1355075

边缘分析市场 - 全球产业规模、份额、趋势、机会和预测。 2018-2028F 按元件、类型、按应用、部署模式、最终用户、地区、竞争细分

Edge Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast. 2018-2028F Segmented By Component, By Type, By Application, By Deployment Mode, By End-User, By Region, Competition
出版日期: | 出版商: TechSci Research | 英文 188 Pages | 商品交期: 2-3个工作天内

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简介目录

随着私部门网路设备的激增，对即时洞察的需求不断增长，边缘分析市场正在不断增长。边缘分析是一种分析系统非中心部分（例如感测器、交换器和不同连结设备）的资料的分析。对即时洞察的需求不断增长，政府在ICT 方面的倡议不断增多，物联网(IoT)、人工智慧(AI) 和云端运算技术的日益普及，以及物联网设备的成长和边缘分析适应性的不断提高，预计将推动边缘分析市场的扩张。边缘分析正成为中小型企业管理日益增长的资料流行度的基础技术模型。许多企业正在采用边缘分析作为经济高效的解决方案，以满足近实时处理大量资料、暗资料和提供自动化解决方案的需求。随着监管框架、工作习惯和客户期望的快速变化，即时分析技术被认为是政府和机构在简化营运时不断增长的投资领域。此外，市场的成长得益于基于 IoT 的边缘分析工具的轻鬆可用性，例如 AWS IoT GreenGrass、IBM Watson IoT Edge Analytics、Microsoft Azure IoT Edge、Oracle Edge Analytics (OEA) 等。由于技术的不断进步，过去几年已经使多家供应商能够整合传统的製造和作业流程。科技已成为卓越的关键推动力，企业正在快速实施感测器和智慧设备，再加上边缘分析系统，逐渐实现更快的资料分析。对安全法规的日益关注、国家监管机构与安全机构之间合作的迅速扩大预计将在预测期内进一步推动全球边缘分析市场的发展。

物联网 (IoT) 的出现以及连网设备带来的大量资料激增

公众以及政府机构大规模采用边缘分析应用程式来进行资料监控、监视和其他用例问题，刺激了全球边缘分析市场的成长。随着物联网的出现，企业正在将边缘分析与物联网集成，并使用它们来监控其生产系统。物联网边缘分析最适合需要快速资料週转来驱动功能的系统、收集大量资料的物联网系统以及出于远端部署和资料安全原因而离线运行的物联网设备。此外，不同国家的企业正在整合基于物联网的边缘分析解决方案，以在本地收集信息，而不会因通讯链路的不规则性和频宽成本的降低而丢失任何资讯。例如，为了应对在偏远地区部署军用无人机的挑战，政府、安全部队和其他企业正在采用物联网边缘分析来有效获取即时回馈，从而使近乎真实的解决方案确保安全任务。这种整合在技术上帮助无人机透过卫星通讯到达外界。此外，根据国际数据公司 (IDC) 的数据，到 2025 年，物联网设备数量将达到约 416 亿个，能够产生 79.4 ZB 的资料。因此，物联网的出现以及透过连接设备产生的大量资料的激增进一步允许边缘分析解决方案的实施，支持全球边缘分析市场的成长。

市场概况
预测期 2024-2028
2022 年市场规模 102亿美元
2028 年市场规模 452.8亿美元
2023-2028 年复合年增长率 28.15%
成长最快的细分市场 製造业
最大的市场 北美洲

私营部门对规范性和预测性分析的需求激增

消费性电子、製造、物流等私营部门对规范性和预测性分析的需求不断增加，可能会推动边缘分析市场在预测期内的扩张。预测性分析和规范分析正在像羽毛一样共同发展。在预测潜在结果后，企业使用规范性分析来帮助控制这些结果，从长远来看，这对业务有利。它可协助企业确定最佳行动方案，以便企业能够实现降低成本、客户满意度、获利能力等业务目标。例如，像 IBM Decision Optimization 这样的规范性分析解决方案透过提供工具来实现对复杂问题的准确决策用于建构和部署作为业务问题的数学表示的最佳化模型。因此，企业对这些解决方案的需求很大，并且越来越多地融入私营部门。此外，企业越来越专注于利用先进解决方案的巨大优势来消除表现不佳的管道、提高效率、管理风险管理、建立可重复和可扩展的流程以及实现更高的敏捷性。因此，对预测性和规范性分析解决方案不断增长的需求预计将在预测期内推动全球边缘分析市场的成长。

数据传输的低延迟和高频宽问题推动边缘分析市场

新技术的最新进步以及与边缘运算世界的融合，为许多组织的经济和社会成长带来了许多可能性。随着资料量的不断增加，以及大量智慧型装置和网路服务的采用，正在减慢请求并显着降低处理速度。边缘分析是流行的新兴解决方案之一，它能够以卓越的速度处理资料，并增强用户端的体验，为资料传输过程中的高频宽和低延迟问题提供灵活性。例如，根据研究，到 2022 年，只有 10% 的资料产生是由边缘创建和处理的。此外，预计到 2025 年，近 75% 的资料将位于边缘，传统资料中心将无法使用和云端储存。金融和银行领域的行业正在采用边缘解决方案来处理银行演算法，更快地执行流程，并显着提高整体利润。此外，媒体和娱乐产业等服务供应商正在利用高频宽和低延迟功能的优势，确保观众获得无缝的串流体验，从而使各种组织能够采用边缘解决方案，并推动边缘分析市场的成长预测期。

市场参与者

全球边缘分析市场的主要市场参与者包括IBM公司、思科系统公司、戴尔公司、Equinix公司、Greenwave系统公司、惠普公司、Iguazio有限公司、英特尔公司、微软公司、甲骨文公司。

可用的客製化：

全球边缘分析市场报告根据给定的市场资料，技术科学研究根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：

公司资讯

  • 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：服务概述

  • 市场定义
  • 市场范围
    • 涵盖的市场
    • 考虑学习的年份
    • 主要市场区隔

第 2 章：研究方法

  • 研究目的
  • 基线方法
  • 主要产业伙伴
  • 主要协会和二手资料来源
  • 预测方法
  • 数据三角测量与验证
  • 假设和限制

第 3 章：COVID-19 对全球边缘分析市场的影响

第 4 章：执行摘要

第 5 章：客户之声

第 6 章：全球边缘分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件（解决方案和服务）
    • 按类型（描述性分析、预测性分析、规范性分析和诊断性分析）
    • 按应用（行销、销售、营运、财务、人力资源）
    • 按部署模式（本地和云端）
    • 按最终用户（医疗保健与生命科学、BFSI、零售与消费品、製造、IT 与电信、运输与物流、媒体与娱乐、能源与公用事业、政府与国防、旅游与酒店等）
    • 按地区（北美、欧洲、亚太地区、南美、中东和非洲 (MEA)）
  • 按公司划分 (2022)
  • 市场地图

第 7 章：北美边缘分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按类型
    • 按应用
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 8 章：亚太地区边缘分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按类型
    • 按应用
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 日本
    • 韩国
    • 印度
    • 澳洲

第 9 章：欧洲边缘分析市场展望

  • 市场规模及预测
    • 按组件
    • 按类型
    • 按应用
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 欧洲：国家分析
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙

第 10 章：南美洲边缘分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按类型
    • 按应用
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 11 章：中东和非洲边缘分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按类型
    • 按应用
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 中东和非洲：国家分析
    • 阿联酋
    • 沙乌地阿拉伯
    • 南非

第 12 章：市场动态

  • 司机
    • 物联网 (IoT) 的出现以及连网设备带来的大量资料激增
    • 私营部门对规范性和预测性分析的需求激增
    • 低延迟资料传输速度
  • 挑战
    • 与安全和安保相关的问题
    • 缺乏普遍接受的标准

第 13 章：市场趋势与发展

  • 汽车产业对边缘分析的需求激增
  • 需求增加和新兴边缘运算技术
  • 增加研发项目投资
  • Covid-19 推动采用，业务需求不断增长

第 14 章：公司简介

  • IBM公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 思科系统公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 戴尔公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • Equinix 公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 绿波系统公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 惠普公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 伊瓜齐奥有限公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 英特尔公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 微软公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 甲骨文公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services

第 15 章：策略建议

第 16 章：关于我们与免责声明

（註：公司名单可依客户要求客製化。）

简介目录
Product Code: 3594

Edge Analytics Market is driving on account of the increasing need for real-time insights with growing surge for network devices in private sector. Edge analytics is a type of analytics that analyzes data at non-central parts of the system, such as sensors, switches, and different linked devices. The rising need for real-time insights, the growing government initiatives in ICT, increasing popularity of Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing technologies along with the growth of IoT devices and rising adaptability for edge analytics is expected to fuel the expansion of edge analytics market. Edge analytics is becoming the foundational technology model for the small and medium enterprises for managing the increased data prevalence. Many enterprises are adopting edge analytics as a cost-effective solution to bolster the need to process enormous data, dark data in near real-time and providing automated resolution. With the rapid changes in regulatory frameworks, working habits and customer expectations, technology for real-time analysis is considered to be a growing area of investment for government and institutions as they streamline their operations. Additionally, the growth of the market is on account of the easy availability of IoT based edge analytics tools such as AWS IoT GreenGrass, IBM Watson IoT Edge Analytics, Microsoft Azure IoT Edge, Oracle Edge Analytics (OEA) and many more. Due to the continuous technological advancements, it has enabled several vendors to integrate traditional manufacturing and operation process in the past years. Technology has become the key enabler of excellence and businesses are rapidly implementing sensors and including smart devices, coupled with edge analytics systems, gradually allowing for speedier data analysis. The increasing attention to security regulations, rapid expansion in collaboration between national regulatory, and security institutions are further expected to boost the global edge analytics market in the forecast period.

Advent of Internet of Things (IoT) and Proliferation of Massive Amount of Data Through Connected Devices

The massive adoption of edge analytics applications in the public as well as in the government institutions for data monitoring, surveillance, and other use case concerns have spurred the growth in edge analytics market globally. With the advent of IoT, businesses are integrating edge analytics with IoT and using them to monitor their production systems. IoT edge analytics is best suited for systems that require rapid data turnover to drive functionality, IoT systems that collect large amounts of data, and IoT devices that function off-network for remote deployment and data security reasons. Moreover, the enterprises of varied countries are integrating IoT based edge analytics solutions to collect the information locally without missing anything due to irregularity in communication links and reduction in the bandwidth cost. For instance, to address the challenge of deploying military drones in remote locations, government, security forces and other enterprises are adapting IoT edge analytics to get the real-time feedback effectively, allowing near-real solutions ensure a safe mission. This integration is technically helping drones reach the outside world via satellite communication. Furthermore, according to the International Data Corporation (IDC), there will be around 41.6 billion IoT devices in 2025, which are capable of generating 79.4 zettabytes (ZB) of data. Thus, the advent of IoT and proliferation of massive amount of data through connected devices are further allowing the implementation of edge analytics solutions, supporting the growth of the edge analytics market globally.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 10.2 Billion
Market Size 2028USD 45.28 Billion
CAGR 2023-202828.15%
Fastest Growing SegmentManufacturing
Largest MarketNorth America

Surge in Demand for Prescriptive & Predictive Analytics in Private Sector

The increased demand for prescriptive as well as predictive analytics in the private sector such as consumer electronics, manufacturing, logistics is likely to drive the expansion of the edge analytics market over the forecast period. Predictive and prescriptive analytics are going and growing together like a bird of a feather. Post the prediction of potential outcomes, the enterprises use prescriptive analytics to help control those outcomes, which are beneficial to the business in the longer run. It aids businesses identify the best course of action so that enterprises can achieve business goals like cost reduction, customer satisfaction, profitability, etc. For instance, prescriptive analytics solution like IBM Decision Optimization, is enabling accurate decision-making for complex problems by providing tools for building and deploying optimization models that are mathematical representations of business problems. As a result, these solutions are high in demand by the enterprises and are becoming more integrated into the private sector. Furthermore, the enterprises are exponentially concerned more for utilizing such enormous benefits of advanced solutions for removing underperforming channels, increasing their efficiency, managing risk management, building repeatable and scalable process and achieving higher agility. Thus, the rising demand for predictive and prescriptive analytics solutions is expected to grow the edge analytics market globally in the forecast period.

Low Latency and High Bandwidth Issues of Data Transfer Driving the Edge Analytics Market

The recent advancements in new technologies along with integration into the edge-computing world, has opened many possibilities for economic and societal growth for many organizations. As the increasing volume of data, with the adoption of numerous smart devices and internet services, are slowing down the requests and reducing the speed of processing significantly. Edge analytics is one of the trending emerging solutions which is offering the ability to process the data with exceptional speeds and are enabling enhanced experience at the user end, providing the flexibility for high bandwidth and low latency issues during the data transfer. For instance, as per the study, only 10% of the data generation have been created and processed by the edge in 2022. Further, it is predicted that nearly 75% of the data will be on edge by 2025, leaving the traditional data centers and cloud storage. Industries within financial and banking sectors are adopting edge solutions to process the banking algorithms, executing the process quicker, and increasing overall profits significantly. Furthermore, service providers such as media & entertainments industries are leveraging the benefits of high bandwidth and low latency capabilities to ensure a seamless streaming experience for viewers, thus enabling the adoption of edge solutions in various organizations and is propelling the growth of edge analytics market in the forecast period.

Market Segmentation

The global edge analytics market is segmented into component, type, application, deployment mode, end-user, and region. Based on component, the market is segmented into solution and services. Based on type, the market is bifurcated into descriptive analytics, predictive analytics, prescriptive analytics and diagnostics analytics. Based on application, the market is categorized into marketing, sales, operations, finance, and human resources. By deployment mode type, the market is divided into on-premises and on-cloud. The end-user segment is further categorized into healthcare & life sciences, BFSI, retail & consumer goods, manufacturing, IT & telecommunication, transportation & logistics, media & entertainment, energy & utility, government & defence, travel & hospitality and others.

Market Player

Major market players in the global edge analytics market are IBM Corporation, Cisco Systems, Inc., Dell Inc., Equinix, Inc., Greenwave Systems, Hp Inc., Iguazio Ltd, Intel Corporation, Microsoft Corporation, Oracle Corporation.

Report Scope

In this report, the global edge analytics market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Edge Analytics Market, By Component:

  • Solution
  • Services

Edge Analytics Market, By Type:

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Diagnostics Analytics

Edge Analytics Market, By Application:

  • Marketing
  • Sales
  • Operations
  • Finance
  • Human Resources

Edge Analytics Market, By Deployment Mode:

  • On-Premises
  • On-Cloud

Edge Analytics Market, By End-User:

  • Healthcare & Life Sciences
  • BFSI
  • Retail & Consumer Goods
  • Manufacturing
  • IT & Telecommunication
  • Transportation & Logistics
  • Media & Entertainment
  • Energy & Utility
  • Government & Defense
  • Travel & Hospitality
  • Other

Edge Analytics Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • India
    • Australia
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East
    • UAE
    • Saudi Arabia
    • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Edge Analytics Market.

Available Customizations:

Global Edge Analytics Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Impact of COVID-19 on Global Edge Analytics Market

4. Executive Summary

5. Voice of Customers

6. Global Edge Analytics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component (Solution and Services)
    • 6.2.2. By Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics and Diagnostics Analytics)
    • 6.2.3. By Application (Marketing, Sales, Operations, Finance, Human Resources)
    • 6.2.4. By Deployment Mode (On-Premises and On-Cloud)
    • 6.2.5. By End-User (Healthcare & Life Sciences, BFSI, Retail & Consumer Goods, Manufacturing, IT & Telecommunication, Transportation & Logistics, Media & Entertainment, Energy & Utility, Government & Defence, Travel & Hospitality and Other)
    • 6.2.6. By Region (North America, Europe, Asia-Pacific, South America, Middle East & Africa (MEA))
  • 6.3. By Company (2022)
  • 6.4. Market Map

7. North America Edge Analytics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Type
    • 7.2.3. By Application
    • 7.2.4. By Deployment Mode
    • 7.2.5. By End-User
    • 7.2.6. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Edge Analytics Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Type
        • 7.3.1.2.3. By Application
        • 7.3.1.2.4. By Deployment Mode
        • 7.3.1.2.5. By End-User
    • 7.3.2. Canada Edge Analytics Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Type
        • 7.3.2.2.3. By Application
        • 7.3.2.2.4. By Deployment Mode
        • 7.3.2.2.5. By End-User
    • 7.3.3. Mexico Edge Analytics Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Type
        • 7.3.3.2.3. By Application
        • 7.3.3.2.4. By Deployment Mode
        • 7.3.3.2.5. By End-User

8. Asia-Pacific Edge Analytics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Type
    • 8.2.3. By Application
    • 8.2.4. By Deployment Mode
    • 8.2.5. By End-User
    • 8.2.6. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Edge Analytics Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Type
        • 8.3.1.2.3. By Application
        • 8.3.1.2.4. By Deployment Mode
        • 8.3.1.2.5. By End-User
    • 8.3.2. Japan Edge Analytics Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Type
        • 8.3.2.2.3. By Application
        • 8.3.2.2.4. By Deployment Mode
        • 8.3.2.2.5. By End-User
    • 8.3.3. South Korea Edge Analytics Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Type
        • 8.3.3.2.3. By Application
        • 8.3.3.2.4. By Deployment Mode
        • 8.3.3.2.5. By End-User
    • 8.3.4. India Edge Analytics Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Type
        • 8.3.4.2.3. By Application
        • 8.3.4.2.4. By Deployment Mode
        • 8.3.4.2.5. By End-User
    • 8.3.5. Australia Edge Analytics Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Type
        • 8.3.5.2.3. By Application
        • 8.3.5.2.4. By Deployment Mode
        • 8.3.5.2.5. By End-User

9. Europe Edge Analytics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Component
    • 9.1.2. By Type
    • 9.1.3. By Application
    • 9.1.4. By Deployment Mode
    • 9.1.5. By End-User
    • 9.1.6. By Country
  • 9.2. Europe: Country Analysis
    • 9.2.1. United Kingdom Edge Analytics Market Outlook
      • 9.2.1.1. Market Size & Forecast
        • 9.2.1.1.1. By Value
      • 9.2.1.2. Market Share & Forecast
        • 9.2.1.2.1. By Component
        • 9.2.1.2.2. By Type
        • 9.2.1.2.3. By Application
        • 9.2.1.2.4. By Deployment Mode
        • 9.2.1.2.5. By End-User
    • 9.2.2. Germany Edge Analytics Market Outlook
      • 9.2.2.1. Market Size & Forecast
        • 9.2.2.1.1. By Value
      • 9.2.2.2. Market Share & Forecast
        • 9.2.2.2.1. By Component
        • 9.2.2.2.2. By Type
        • 9.2.2.2.3. By Application
        • 9.2.2.2.4. By Deployment Mode
        • 9.2.2.2.5. By End-User
    • 9.2.3. France Edge Analytics Market Outlook
      • 9.2.3.1. Market Size & Forecast
        • 9.2.3.1.1. By Value
      • 9.2.3.2. Market Share & Forecast
        • 9.2.3.2.1. By Component
        • 9.2.3.2.2. By Type
        • 9.2.3.2.3. By Application
        • 9.2.3.2.4. By Deployment Mode
        • 9.2.3.2.5. By End-User
    • 9.2.4. Italy Edge Analytics Market Outlook
      • 9.2.4.1. Market Size & Forecast
        • 9.2.4.1.1. By Value
      • 9.2.4.2. Market Share & Forecast
        • 9.2.4.2.1. By Component
        • 9.2.4.2.2. By Type
        • 9.2.4.2.3. By Application
        • 9.2.4.2.4. By Deployment Mode
        • 9.2.4.2.5. By End-User
    • 9.2.5. Spain Edge Analytics Market Outlook
      • 9.2.5.1. Market Size & Forecast
        • 9.2.5.1.1. By Value
      • 9.2.5.2. Market Share & Forecast
        • 9.2.5.2.1. By Component
        • 9.2.5.2.2. By Type
        • 9.2.5.2.3. By Application
        • 9.2.5.2.4. By Deployment Mode
        • 9.2.5.2.5. By End-User

10. South America Edge Analytics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Type
    • 10.2.3. By Application
    • 10.2.4. By Deployment Mode
    • 10.2.5. By End-User
    • 10.2.6. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Edge Analytics Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Type
        • 10.3.1.2.3. By Application
        • 10.3.1.2.4. By Deployment Mode
        • 10.3.1.2.5. By End-User
    • 10.3.2. Argentina Edge Analytics Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Type
        • 10.3.2.2.3. By Application
        • 10.3.2.2.4. By Deployment Mode
        • 10.3.2.2.5. By End-User
    • 10.3.3. Colombia Edge Analytics Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Type
        • 10.3.3.2.3. By Application
        • 10.3.3.2.4. By Deployment Mode
        • 10.3.3.2.5. By End-User

11. Middle East & Africa Edge Analytics Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Type
    • 11.2.3. By Application
    • 11.2.4. By Deployment Mode
    • 11.2.5. By End-User
    • 11.2.6. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. UAE Edge Analytics Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Type
        • 11.3.1.2.3. By Application
        • 11.3.1.2.4. By Deployment Mode
        • 11.3.1.2.5. By End-User
    • 11.3.2. Saudi Arabia Edge Analytics Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Type
        • 11.3.2.2.3. By Application
        • 11.3.2.2.4. By Deployment Mode
        • 11.3.2.2.5. By End-User
    • 11.3.3. South Africa Edge Analytics Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Type
        • 11.3.3.2.3. By Application
        • 11.3.3.2.4. By Deployment Mode
        • 11.3.3.2.5. By End-User

12. Market Dynamics

  • 12.1. Drivers
    • 12.1.1. Advent of Internet of Things (IoT) and Proliferation of Massive Amount of Data Through Connected Devices
    • 12.1.2. Surge in Demand for Prescriptive & Predictive Analytics in Private Sector
    • 12.1.3. Low latency Speeds of Data Transfer
  • 12.2. Challenges
    • 12.2.1. Issues Pertaining to Safety and Security
    • 12.2.2. Lack of Universally Accepted Standards

13. Market Trends & Developments

  • 13.1. Surge in Demand for Edge Analytics in Automotive Industry
  • 13.2. Increase in Demand and Emerging Edge Computing Technology
  • 13.3. Increasing Investment in R&D Programs
  • 13.4. Growing Business needs due to Covid-19 Driving Adoption

14. Company Profiles

  • 14.1. IBM Corporation
    • 14.1.1. Business Overview
    • 14.1.2. Key Revenue and Financials
    • 14.1.3. Recent Developments
    • 14.1.4. Key Personnel
    • 14.1.5. Key Product/Services
  • 14.2. Cisco Systems Inc.
    • 14.2.1. Business Overview
    • 14.2.2. Key Revenue and Financials
    • 14.2.3. Recent Developments
    • 14.2.4. Key Personnel
    • 14.2.5. Key Product/Services
  • 14.3. Dell Inc.
    • 14.3.1. Business Overview
    • 14.3.2. Key Revenue and Financials
    • 14.3.3. Recent Developments
    • 14.3.4. Key Personnel
    • 14.3.5. Key Product/Services
  • 14.4. Equinix Inc.
    • 14.4.1. Business Overview
    • 14.4.2. Key Revenue and Financials
    • 14.4.3. Recent Developments
    • 14.4.4. Key Personnel
    • 14.4.5. Key Product/Services
  • 14.5. Greenwave Systems
    • 14.5.1. Business Overview
    • 14.5.2. Key Revenue and Financials
    • 14.5.3. Recent Developments
    • 14.5.4. Key Personnel
    • 14.5.5. Key Product/Services
  • 14.6. HP Inc.
    • 14.6.1. Business Overview
    • 14.6.2. Key Revenue and Financials
    • 14.6.3. Recent Developments
    • 14.6.4. Key Personnel
    • 14.6.5. Key Product/Services
  • 14.7. Iguazio Ltd
    • 14.7.1. Business Overview
    • 14.7.2. Key Revenue and Financials
    • 14.7.3. Recent Developments
    • 14.7.4. Key Personnel
    • 14.7.5. Key Product/Services
  • 14.8. Intel Corporation
    • 14.8.1. Business Overview
    • 14.8.2. Key Revenue and Financials
    • 14.8.3. Recent Developments
    • 14.8.4. Key Personnel
    • 14.8.5. Key Product/Services
  • 14.9. Microsoft Corporation
    • 14.9.1. Business Overview
    • 14.9.2. Key Revenue and Financials
    • 14.9.3. Recent Developments
    • 14.9.4. Key Personnel
    • 14.9.5. Key Product/Services
  • 14.10. Oracle Corporation
    • 14.10.1. Business Overview
    • 14.10.2. Key Revenue and Financials
    • 14.10.3. Recent Developments
    • 14.10.4. Key Personnel
    • 14.10.5. Key Product/Services

15. Strategic Recommendations

16. About Us & Disclaimer

(Note: The companies list can be customized based on the client requirements.)