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暗分析市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按分析、产品、部署模式、最终用户、地区、竞争细分

Dark Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Analytics, By Offering, 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

由于数位化、物联网 (IoT)、即时行销分析的出现、工业革命 4.0 中自动化和资料交换的持续趋势以及复杂自主系统和技术（如无人​​机）的即时控制响应，全球暗分析市场正在不断增长系统（无人机）。随着数位化和安全相关风险的兴起，未开发资料和新兴技术的快速增长，监控行业和国家越来越注重透过即时资讯的即时分析来提取决策见解。银行、金融、行销和广告以及电子商务领域的采用扩大了分析作为决策工具的组合，预计这将在预测期内进一步推动全球暗分析市场的发展。

物联网 (IoT) 的出现以及连网设备带来的大量资料激增

市场概况
预测期 2024-2028
2022 年市场规模 12亿美元
2028 年市场规模 46.2亿美元
2023-2028 年复合年增长率 25.06%
成长最快的细分市场 零售
最大的市场 北美洲

推动全球暗分析市场成长的主要因素是数位化的出现，以及基于物联网（IoT）的设备和新兴技术（例如用于即时行销分析和其他的人工智慧（AI）和大资料）的大量采用。用途。物联网将感测器、设备和人员的连接结合起来，实现人与机器、软体和硬体之间自由流动的对话。由于物联网可以成为大资料的关键来源，可以对其进行分析以获得价值，并且开放资料可以由多个实体使用。将营运业务资料与感测器产生的资讯相结合，有可能提供创新的方法来推动每个行业的高效能和智慧决策。物联网设备每天都会高速即时产生大量不同格式的资料。由于无法控制存取并将这些资料与世界其他地方连接，这些资料仍然被困在私人基础设施中。此外，各国企业正在整合基于物联网的暗分析解决方案，以在本地收集信息，而不会因不规则链接而丢失任何信息，并减少非结构化资料。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，可产生79.4泽字节（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扩散进一步允许暗分析解决方案的实施，从而支持全球暗分析市场的成长。

零售和电子商务的需求成长

零售和电子商务领域的不断发展、线上购物数位媒体平台的出现以及全球服装、电子产品和其他商品零售和电子商务企业数量的增加，产生了大量未开发的资料。随着服务提供者之间的电子商务市场变得越来越敏感，企业正在进一步寻求先进的解决方案来了解未开发的资料矩阵，以保持在竞争中的地位。暗分析有助于零售和电子商务企业了解客户未经评估的原始资料，以深入了解客户的购买行为或特定产品在全球的整体销售情况。例如，Airbnb 正在采用此类分析解决方案来了解特定地区的市场并相应地比较对房产的需求。此外，服装公司打算根据客户情感资料洞察建立製造工厂，以优化营运并提高获利能力。因此，这些解决方案受到企业的强烈需求，并且越来越多地融入私营部门。此外，企业越来越关注利用先进解决方案的巨大优势来解决储存空间问题并帮助做出更好的策略决策。因此，零售和电子商务对整合此类分析解决方案的需求不断增长，预计将在预测期内成长暗分析市场。

医疗保健产业对预测分析的需求增加

医疗保健产业对预测分析的需求的成长正在推动全球暗分析市场的成长。医疗保健领域的预测分析显示医疗效益大幅增加，包括个人化的病患照护。随着电子健康记录 (EHR) 和其他众多预测分析工具越来越多地采用临床决策支持，医疗保健产业不断发展。暗分析是流行的新兴解决方案之一，它提供了处理资料的能力，从而改善患者的治疗结果、患者之间更一致的护理、营运效率和医疗保健成本节省机会。例如，根据败血症联盟的说法，败血症是医院死亡的主要原因。早期诊断和快速介入对于败血症治疗至关重要。由于脓毒症早期无症状患者的可能性很大，人眼可能无法注意到医疗记录中的资料与致命病症的早期指标之间的相关性。随着新兴的自然语言程式设计 (NLP) 技术的发展，这些电子健康记录中的资料对于触发警报系统、通知医生和护理师进行医疗干预的预测模型来说是一个重要因素。研究表明，在败血症发病的前 180 分钟内提供全面的治疗可以挽救 80% 的生命。

市场参与者

全球暗分析市场的主要市场参与者包括 SAP SE、IBM Corporation、Micro Focus International PLC.、Dell EMC、Gen Digital Inc.、Amazon Web Services, Inc.、Teradata Corporation Inc.、Microsoft Corporation、Datameer, Inc.、 Avepoint, Inc. 等。

可用的客製化：

科技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

服务概览

  • 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 对全球暗分析市场的影响

第 4 章：执行摘要

第 5 章：客户之声

第 6 章：全球暗分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过分析（预测性、规范性和描述性）
    • 透过提供（解决方案和服务）
    • 依部署模式（云端和本地）
    • 按最终用户（医疗保健与生命科学、BFSI、零售与电子商务、游戏、IT 与电信、媒体与娱乐、政府等）
    • 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：北美暗分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过分析
    • 透过提供
    • 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：亚太地区暗分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过分析
    • 透过提供
    • 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
    • 新加坡

第 9 章：欧洲暗分析市场展望

  • 市场规模及预测
    • 透过分析
    • 透过提供
    • 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

第 10 章：南美洲暗分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过分析
    • 透过提供
    • 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：中东和非洲暗分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过分析
    • 透过提供
    • 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
    • 物联网的出现以及透过连接设备产生的大量数据的激增
    • 零售和电子商务的需求成长
    • 医疗保健产业对预测分析的需求增加
  • 挑战
    • 大量原始数据和不同步数据
    • 解决方案成本高以及中小企业的预算限制

第 13 章：市场趋势与发展

  • 无人机技术在商业应用上的普及
  • 对新兴技术的需求增加
  • 中小企业增加对暗分析技术的投资
  • 大数据分析需求的成长

第 14 章：公司简介

  • SAP系统公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • IBM公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 微焦点国际股份有限公司。
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 戴尔易安信
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 世代数位公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 亚马逊网路服务公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • Teradata 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
  • 数据米尔公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 艾维波因特公司
    • 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: 15136

Global Dark Analytics Market is growing due to the advent of digitalization, internet of things (IoT), real-time marketing analytics, ongoing trends on automation & data exchange in Industry revolution 4.0 and instantaneous control response in complex autonomous systems and technology like unmanned aircraft systems (UAS). With rapid growth of untapped data and emerging new technologies with the rise of digitalization and risk associated with security, the surveillance industries and nations are concentrating more on extracting insights for decision making by instant analysis of real-time information. The adoption by banking, finance, marketing & advertising, and E-commerce sector has broadened the portfolio of using analytics as a tool in decision making, which is further expected to boost the global dark analytics market in the forecast period.

Data which is present in enormous amount which is unfamiliar is indicated as dark data. Dark analytics is a term used to analyze dark data which is precisely referred to as unstructured data or untapped information until it is used to determine insights for decision making process in business activities. Associations nowadays are realizing a huge risk related to losing serious edge in business and administrative issues that accompanies not analyzing and handling this data. Dark data is valuable as it tends to provide information that is not available in any other format. Due to dark analytics an increasing number of enterprises take advantage of valuable dark data, as it provides intelligent insights, creates new revenue opportunities, develops new partnerships, shifts businesses into the data-driven century.

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

Market Overview
Forecast Period2024-2028
Market Size 2022USD 1.2 Billion
Market Size 2028USD 4.62 Billion
CAGR 2023-202825.06%
Fastest Growing SegmentRetail
Largest MarketNorth America

The major factors driving the growth of global dark analytics market are the advent of digitalization along with massive adoption of Internet of Things (IoT) based devices and emerging technologies such as Artificial Intelligence (AI) and big data for real-time marketing analysis and other uses. IoT combines connectivity with sensors, devices, and people, enabling a form of a free-flowing conversation between human and machine, software, and hardware. As IoT can be a key source of big data that can be analyzed to capture value, and open data, which can be used by more than one entity. Combining operational business data with sensor-generated information has a potential to deliver innovative ways to drive high performance and intelligent decision-making in every industry. Every day, IoT devices generate vast amount of data in different formats in real-time at high velocity. These data remain trapped in private infrastructures, due to the inability to control access and to connect this data with the rest of the world. Moreover, the enterprises of varied nations are integrating IoT based dark analytics solutions to collect the information locally without missing anything due to irregular links and reduce the unstructured data. Furthermore, according to the International Data Corporation (IDC), there will be around 41.6 billion IoT devices in 2025, which can generate 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 dark analytics solutions, thereby supporting the growth of the dark analytics market globally.

Rise in Demand from Retail & E-commerce

The rising development in the retail and ecommerce sector, advent of digital media platforms for online shopping along with rise in number of retail and e-commerce enterprises across the world for apparel, electronics and other commodities has generated the enormous amount of untapped data. As the e-commerce market among service providers has become sensitive, the enterprises are further seeking an advanced solution to understand the matrix of untapped data to maintain their presence in the competition. Dark analytics helps retail and E-commerce enterprises to understand the unassessed raw data of the customers to provide insight upon the customer buying behavior or the overall sales of the specific products worldwide. For instance, Airbnb is adopting such analytics solutions to understand the market for the specific region and compare the demand for properties accordingly. Moreover, the apparel companies are intending to setup their manufacturing plants based on the customer sentimental data insights to optimize their operations and enhance the profitability. As a result, these solutions are in high demand by the enterprises and are becoming more integrated into the private sector. Furthermore, the enterprises are exponentially concerned more about utilizing such enormous benefits of advanced solutions for fixing the storage space issue and help make better strategic decisions. Thus, the rising demand from the retail and E-commerce for integrating such analytical solutions is expected to grow the dark analytics market in the forecast period.

Rise in Demand for Predictive Analysis in Healthcare Industry

The rise in demand for predictive analysis in healthcare industry is propelling the growth of dark analytics market globally. Predictive analytics in healthcare has shown a spike in medical benefits, including personalized patient care. As the healthcare industry is growing with the increasing adoption of clinical decision support in the electronic health records (EHR) and other numerous predictive analytics tools. Dark analytics is one of the trending emerging solutions which is offering the ability to process the data with improved patient outcomes, more consistent care among patients, operational efficiency and cost saving opportunity in healthcare. For instance, according to the Sepsis Alliance, sepsis is a leading cause of death in hospitals. The early diagnosis and rapid interventions are crucial in sepsis treatment. Due to heavy possibility of asymptomatic patients in the early stages of sepsis, the human eye may not be able to notice the correlation between data in medical records and early indicators of a deadly conditions. With the emerging technology of Natural Language Programming (NLP) to data in those electronic health records is a significant factor for predictive models that trigger alert systems, notifying doctors and nurses for medical intervention. Research has indicated that providing full medical treatment for sepsis in the first 180 minutes of onset can save 80 percent of the lives.

Market Segmentation

The global dark analytics market is segmented into analytics, offering, deployment mode end-user, region and competitive landscape. Based on analytics, the market is segmented into predictive, prescriptive, and descriptive. Based on offering, the market is bifurcated into solution and service. The deployment mode segment is further categorized into cloud and on-premises. The end-user segment is classified into healthcare & life sciences, BFSI, retail & E-commerce, gaming, IT & telecommunication, media & entertainment, government, and others.

Market Player

Major market players in the global dark analytics market are SAP SE, IBM Corporation, Micro Focus International PLC., Dell EMC, Gen Digital Inc., Amazon Web Services, Inc., Teradata Corporation Inc., Microsoft Corporation, Datameer, Inc., Avepoint, Inc., among others.

Report Scope

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

Dark Analytics Market, By Analytics:

  • Predictive
  • Prescriptive
  • Descriptive

Dark Analytics Market, By Offering:

  • Solution
  • Service

Dark Analytics Market, By Deployment Mode:

  • Cloud
  • On-Premises

Dark Analytics Market, By End-User:

  • Healthcare & Life Sciences
  • BFSI
  • Retail & E-Commerce
  • Gaming
  • IT & Telecommunication
  • Media & Entertainment
  • Government
  • Other

Dark Analytics Market, By Region:

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

Competitive Landscape

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

Available Customizations:

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

rvice 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 Dark Analytics Market

4. Executive Summary

5. Voice of Customers

6. Global Dark Analytics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Analytics (Predictive, Prescriptive, and Descriptive)
    • 6.2.2. By Offering (Solution and Service)
    • 6.2.3. By Deployment Mode (Cloud and On-Premises)
    • 6.2.4. By End-User (Healthcare & Life Sciences, BFSI, Retail & E-commerce, Gaming, IT & Telecommunication, Media & Entertainment, Government, and Others)
    • 6.2.5. 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 Dark Analytics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Analytics
    • 7.2.2. By Offering
    • 7.2.3. By Deployment Mode
    • 7.2.4. By End-User
    • 7.2.5. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Dark 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 Analytics
        • 7.3.1.2.2. By Offering
        • 7.3.1.2.3. By Deployment Mode
        • 7.3.1.2.4. By End-User
    • 7.3.2. Canada Dark 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 Analytics
        • 7.3.2.2.2. By Offering
        • 7.3.2.2.3. By Deployment Mode
        • 7.3.2.2.4. By End-User
    • 7.3.3. Mexico Dark 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 Analytics
        • 7.3.3.2.2. By Offering
        • 7.3.3.2.3. By Deployment Mode
        • 7.3.3.2.4. By End-User

8. Asia-Pacific Dark Analytics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Analytics
    • 8.2.2. By Offering
    • 8.2.3. By Deployment Mode
    • 8.2.4. By End-User
    • 8.2.5. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Dark 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 Analytics
        • 8.3.1.2.2. By Offering
        • 8.3.1.2.3. By Deployment Mode
        • 8.3.1.2.4. By End-User
    • 8.3.2. Japan Dark 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 Analytics
        • 8.3.2.2.2. By Offering
        • 8.3.2.2.3. By Deployment Mode
        • 8.3.2.2.4. By End-User
    • 8.3.3. South Korea Dark 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 Analytics
        • 8.3.3.2.2. By Offering
        • 8.3.3.2.3. By Deployment Mode
        • 8.3.3.2.4. By End-User
    • 8.3.4. India Dark 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 Analytics
        • 8.3.4.2.2. By Offering
        • 8.3.4.2.3. By Deployment Mode
        • 8.3.4.2.4. By End-User
    • 8.3.5. Australia Dark 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 Analytics
        • 8.3.5.2.2. By Offering
        • 8.3.5.2.3. By Deployment Mode
        • 8.3.5.2.4. By End-User
    • 8.3.6. Singapore Dark Analytics Market Outlook
      • 8.3.6.1. Market Size & Forecast
        • 8.3.6.1.1. By Value
      • 8.3.6.2. Market Share & Forecast
        • 8.3.6.2.1. By Analytics
        • 8.3.6.2.2. By Offering
        • 8.3.6.2.3. By Deployment Mode
        • 8.3.6.2.4. By End-User

9. Europe Dark Analytics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Analytics
    • 9.1.2. By Offering
    • 9.1.3. By Deployment Mode
    • 9.1.4. By End-User
    • 9.1.5. By Country
  • 9.2. Europe: Country Analysis
    • 9.2.1. United Kingdom Dark 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 Analytics
        • 9.2.1.2.2. By Offering
        • 9.2.1.2.3. By Deployment Mode
        • 9.2.1.2.4. By End-User
    • 9.2.2. Germany Dark 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 Analytics
        • 9.2.2.2.2. By Offering
        • 9.2.2.2.3. By Deployment Mode
        • 9.2.2.2.4. By End-User
    • 9.2.3. France Dark 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 Analytics
        • 9.2.3.2.2. By Offering
        • 9.2.3.2.3. By Deployment Mode
        • 9.2.3.2.4. By End-User
    • 9.2.4. Italy Dark 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 Analytics
        • 9.2.4.2.2. By Offering
        • 9.2.4.2.3. By Deployment Mode
        • 9.2.4.2.4. By End-User

10. South America Dark Analytics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Analytics
    • 10.2.2. By Offering
    • 10.2.3. By Deployment Mode
    • 10.2.4. By End-User
    • 10.2.5. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Dark 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 Analytics
        • 10.3.1.2.2. By Offering
        • 10.3.1.2.3. By Deployment Mode
        • 10.3.1.2.4. By End-User
    • 10.3.2. Argentina Dark 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 Analytics
        • 10.3.2.2.2. By Offering
        • 10.3.2.2.3. By Deployment Mode
        • 10.3.2.2.4. By End-User
    • 10.3.3. Colombia Dark 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 Analytics
        • 10.3.3.2.2. By Offering
        • 10.3.3.2.3. By Deployment Mode
        • 10.3.3.2.4. By End-User

11. Middle East & Africa Dark Analytics Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Analytics
    • 11.2.2. By Offering
    • 11.2.3. By Deployment Mode
    • 11.2.4. By End-User
    • 11.2.5. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. UAE Dark 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 Analytics
        • 11.3.1.2.2. By Offering
        • 11.3.1.2.3. By Deployment Mode
        • 11.3.1.2.4. By End-User
    • 11.3.2. Saudi Arabia Dark 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 Analytics
        • 11.3.2.2.2. By Offering
        • 11.3.2.2.3. By Deployment Mode
        • 11.3.2.2.4. By End-User
    • 11.3.3. South Africa Dark 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 Analytics
        • 11.3.3.2.2. By Offering
        • 11.3.3.2.3. By Deployment Mode
        • 11.3.3.2.4. By End-User

12. Market Dynamics

  • 12.1. Drivers
    • 12.1.1. Advent of IoT and Proliferation of Massive Amount of Data through Connected Devices
    • 12.1.2. Rise in Demand from Retail & E-commerce
    • 12.1.3. Rise in Demand for Predictive Analysis in Healthcare Industry
  • 12.2. Challenges
    • 12.2.1. High Volume of Raw & Unsynchronized Data
    • 12.2.2. High Cost of Solutions and Budgetary Constraints of SMEs

13. Market Trends & Developments

  • 13.1. Proliferation of Drone Technology in Commercial Applications
  • 13.2. Increase in Demand for Emerging Technology
  • 13.3. Increasing Investment in Dark Analytics Technology by SME's
  • 13.4. Rise in Demand for Big Data Analytics

14. Company Profiles

  • 14.1. SAP SE
    • 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. IBM Corporation
    • 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. Micro Focus International PLC.
    • 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. Dell EMC
    • 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. Gen Digital Inc.
    • 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. Amazon Web Services, 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. Teradata Corporation Inc.
    • 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. Microsoft 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. Datameer, Inc.
    • 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. Avepoint, Inc.
    • 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.)