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邊緣分析市場 - 全球產業規模、佔有率、趨勢、機會和預測。 2018-2028F 按元件、類型、按應用、部署模式、最終用戶、地區、競爭細分
市場調查報告書
商品編碼
1355075

邊緣分析市場 - 全球產業規模、佔有率、趨勢、機會和預測。 2018-2028F 按元件、類型、按應用、部署模式、最終用戶、地區、競爭細分

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個工作天內

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簡介目錄

隨著私部門網路設備的激增，對即時洞察的需求不斷成長，邊緣分析市場正在不斷成長。邊緣分析是一種分析系統非中心部分（例如感測器、交換器和不同連結設備）的資料的分析。對即時洞察的需求不斷成長，政府在ICT 方面的舉措不斷增多，物聯網(IoT)、人工智慧(AI) 和雲端運算技術的日益普及，以及物聯網設備的成長和邊緣分析適應性的不斷提高，預計將推動邊緣分析市場的擴張。邊緣分析正成為中小型企業管理日益成長的資料流行度的基礎技術模型。許多企業正在採用邊緣分析作為經濟高效的解決方案，以滿足近即時處理大量資料、暗資料和提供自動化解決方案的需求。隨著監管框架、工作習慣和客戶期望的快速變化，即時分析技術被認為是政府和機構在簡化營運時不斷成長的投資領域。此外，市場的成長得益於基於 IoT 的邊緣分析工具的輕鬆可用性，例如 AWS IoT GreenGrass、IBM Watson IoT Edge Analytics、Microsoft Azure IoT Edge、Oracle Edge Analytics (OEA) 等。由於技術的不斷進步，過去幾年已經使多家供應商能夠整合傳統的製造和作業流程。科技已成為卓越的關鍵推動力，企業正在快速實施感測器和智慧設備，再加上邊緣分析系統，逐漸實現更快的資料分析。對安全法規的日益關注、國家監管機構與安全機構之間合作的迅速擴大預計將在預測期內進一步推動全球邊緣分析市場的發展。

物聯網 (IoT) 的出現以及連網設備帶來的大量資料激增

公眾以及政府機構大規模採用邊緣分析應用程式來進行資料監控、監視和其他用例問題，刺激了全球邊緣分析市場的成長。隨著物聯網的出現，企業正在將邊緣分析與物聯網整合，並使用它們來監控其生產系統。物聯網邊緣分析最適合需要快速資料週轉來驅動功能的系統、收集大量資料的物聯網系統以及出於遠端部署和資料安全原因而離線運行的物聯網設備。此外，不同國家的企業正在整合基於物聯網的邊緣分析解決方案，以在本地收集資訊，而不會因通訊鏈路的不規則性和頻寬成本的降低而丟失任何資訊。例如，為了應對在偏遠地區部署軍用無人機的挑戰，政府、安全部隊和其他企業正在採用物聯網邊緣分析來有效獲取即時回饋，從而使近乎真實的解決方案確保安全任務。這種整合在技術上幫助無人機透過衛星通訊到達外界。此外，根據國際數據公司 (IDC) 的數據，到 2025 年，物聯網設備數量將達到約 416 億個，能夠產生 79.4 ZB 的資料。因此，物聯網的出現以及透過連接設備產生的大量資料的激增進一步允許邊緣分析解決方案的實施，支持全球邊緣分析市場的成長。

市場概況
預測期 2024-2028
2022 年市場規模 102億美元
2028 年市場規模 452.8億美元
2023-2028 年複合年成長率 28.15%
成長最快的細分市場 製造業
最大的市場 北美洲

私營部門對規範性和預測性分析的需求激增

消費性電子、製造、物流等私營部門對規範性和預測性分析的需求不斷增加，可能會推動邊緣分析市場在預測期內的擴張。預測性分析和規範分析正在像羽毛一樣共同發展。在預測潛在結果後，企業使用規範性分析來幫助控制這些結果，從長遠來看，這對業務有利。它可協助企業確定最佳行動方案，以便企業能夠實現降低成本、客戶滿意度、獲利能力等業務目標。例如，像 IBM Decision Optimization 這樣的規範性分析解決方案透過提供工具來實現對複雜問題的準確決策用於建構和部署作為業務問題的數學表示的最佳化模型。因此，企業對這些解決方案的需求很大，並且擴大融入私營部門。此外，企業越來越專注於利用先進解決方案的巨大優勢來消除表現不佳的管道、提高效率、管理風險管理、建立可重複和可擴展的流程以及實現更高的敏捷性。因此，對預測性和規範性分析解決方案不斷成長的需求預計將在預測期內推動全球邊緣分析市場的成長。

數據傳輸的低延遲和高頻寬問題推動邊緣分析市場

新技術的最新進步以及與邊緣運算世界的融合，為許多組織的經濟和社會成長帶來了許多可能性。隨著資料量的不斷增加，以及大量智慧型裝置和網路服務的採用，正在減慢請求並顯著降低處理速度。邊緣分析是流行的新興解決方案之一，它能夠以卓越的速度處理資料，並增強用戶端的體驗，為資料傳輸過程中的高頻寬和低延遲問題提供靈活性。例如，根據研究，到 2022 年，只有 10% 的資料產生是由邊緣創建和處理的。此外，預計到 2025 年，近 75% 的資料將位於邊緣，傳統資料中心將無法使用和雲端儲存。金融和銀行領域的行業正在採用邊緣解決方案來處理銀行演算法，更快地執行流程，並顯著提高整體利潤。此外，媒體和娛樂產業等服務供應商正在利用高頻寬和低延遲功能的優勢，確保觀眾獲得無縫的串流體驗，從而使各種組織能夠採用邊緣解決方案，並推動邊緣分析市場的成長預測期。

市場參與者

全球邊緣分析市場的主要市場參與者包括IBM公司、思科系統公司、戴爾公司、Equinix公司、Greenwave系統公司、惠普公司、Iguazio有限公司、英特爾公司、微軟公司、甲骨文公司。

可用的客製化：

全球邊緣分析市場報告根據給定的市場資料，技術科學研究根據公司的具體需求提供客製化服務。該報告可以使用以下自訂選項：

公司資訊

  • 其他市場參與者（最多五個）的詳細分析和概況分析。

目錄

第 1 章：服務概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 考慮學習的年份
    • 主要市場區隔

第 2 章：研究方法

  • 研究目的
  • 基線方法
  • 主要產業夥伴
  • 主要協會和二手資料來源
  • 預測方法
  • 數據三角測量與驗證
  • 假設和限制

第 3 章：COVID-19 對全球邊緣分析市場的影響

第 4 章：執行摘要

第 5 章：客戶之聲

第 6 章：全球邊緣分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（解決方案和服務）
    • 按類型（描述性分析、預測性分析、規範性分析和診斷性分析）
    • 按應用（行銷、銷售、營運、財務、人力資源）
    • 按部署模式（本地和雲端）
    • 按最終用戶（醫療保健與生命科學、BFSI、零售與消費品、製造、IT 與電信、運輸與物流、媒體與娛樂、能源與公用事業、政府與國防、旅遊與酒店等）
    • 按地區（北美、歐洲、亞太地區、南美、中東和非洲 (MEA)）
  • 按公司分類 (2022)
  • 市場地圖

第 7 章：北美邊緣分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按類型
    • 按應用
    • 按部署模式
    • 按最終用戶
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 8 章：亞太地區邊緣分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按類型
    • 按應用
    • 按部署模式
    • 按最終用戶
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 日本
    • 韓國
    • 印度
    • 澳洲

第 9 章：歐洲邊緣分析市場展望

  • 市場規模及預測
    • 按組件
    • 按類型
    • 按應用
    • 按部署模式
    • 按最終用戶
    • 按國家/地區
  • 歐洲：國家分析
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙

第 10 章：南美洲邊緣分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按類型
    • 按應用
    • 按部署模式
    • 按最終用戶
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 11 章：中東和非洲邊緣分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按類型
    • 按應用
    • 按部署模式
    • 按最終用戶
    • 按國家/地區
  • 中東和非洲：國家分析
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非

第 12 章：市場動態

  • 動力
    • 物聯網 (IoT) 的出現以及連網設備帶來的大量資料激增
    • 私營部門對規範性和預測性分析的需求激增
    • 低延遲資料傳輸速度
  • 挑戰
    • 與安全和安保相關的問題
    • 缺乏普遍接受的標準

第 13 章：市場趨勢與發展

  • 汽車產業對邊緣分析的需求激增
  • 需求增加和新興邊緣運算技術
  • 增加研發項目投資
  • Covid-19 推動採用，業務需求不斷成長

第 14 章：公司簡介

  • IBM公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 思科系統公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 戴爾公司
    • 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
  • 綠波系統公司
    • 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
  • 伊瓜齊奧有限公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 英特爾公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 微軟公司
    • 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：策略建議

第 16 章：關於我們與免責聲明

（註：公司名單可依客戶要求客製化。）

簡介目錄
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.)