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暗分析市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按分析、產品、部署模式、最終用戶、地區、競爭細分

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個工作天內

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簡介目錄

由於數位化、物聯網 (IoT)、即時行銷分析的出現、工業革命 4.0 中自動化和資料交換的持續趨勢以及複雜自主系統和技術（如無人​​機）的即時控制響應，全球暗分析市場正在不斷成長系統（無人機）。隨著數位化和安全相關風險的興起，未開發資料和新興技術的快速成長，監控行業和國家越來越注重透過即時資訊的即時分析來提取決策見解。銀行、金融、行銷和廣告以及電子商務領域的採用擴大了分析作為決策工具的組合，預計這將在預測期內進一步推動全球暗分析市場的發展。

物聯網 (IoT) 的出現以及連網設備帶來的大量資料激增

市場概況
預測期 2024-2028
2022 年市場規模 12億美元
2028 年市場規模 46.2億美元
2023-2028 年複合年成長率 25.06%
成長最快的細分市場 零售
最大的市場 北美洲

推動全球暗分析市場成長的主要因素是數位化的出現，以及基於物聯網（IoT）的設備和新興技術（例如用於即時行銷分析和其他人工智慧（AI）和大資料）的大量採用。用途。物聯網將感測器、設備和人員的連接結合起來，實現人與機器、軟體和硬體之間自由流動的對話。由於物聯網可以成為大資料的關鍵來源，可以對其進行分析以獲得價值，並且開放資料可以由多個實體使用。將營運業務資料與感測器產生的資訊相結合，有可能提供創新的方法來推動每個行業的高效能和智慧決策。物聯網設備每天都會高速即時產生大量不同格式的資料。由於無法控制存取並將這些資料與世界其他地方連接，這些資料仍然被困在私人基礎設施中。此外，各國企業正在整合基於物聯網的暗分析解決方案，以在本地收集資訊，而不會因不規則鏈接而丟失任何資訊，並減少非結構化資料。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，可產生79.4澤字節（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擴散進一步允許暗分析解決方案的實施，從而支持全球暗分析市場的成長。

零售和電子商務的需求成長

零售和電子商務領域的不斷發展、線上購物數位媒體平台的出現以及全球服裝、電子產品和其他商品零售和電子商務企業數量的增加，產生了大量未開發的資料。隨著服務提供者之間的電子商務市場變得越來越敏感，企業正在進一步尋求先進的解決方案來了解未開發的資料矩陣，以保持在競爭中的地位。暗分析有助於零售和電子商務企業了解客戶未經評估的原始資料，以深入了解客戶的購買行為或特定產品在全球的整體銷售情況。例如，Airbnb 正在採用此類分析解決方案來了解特定地區的市場並相應地比較對房產的需求。此外，服裝公司打算根據客戶情感資料洞察建立製造工廠，以最佳化營運並提高獲利能力。因此，這些解決方案受到企業的強烈需求，並且擴大融入私營部門。此外，企業越來越關注利用先進解決方案的巨大優勢來解決儲存空間問題並幫助做出更好的策略決策。因此，零售和電子商務對整合此類分析解決方案的需求不斷成長，預計將在預測期內成長暗分析市場。

醫療保健產業對預測分析的需求增加

醫療保健產業對預測分析的需求的成長正在推動全球暗分析市場的成長。醫療保健領域的預測分析顯示醫療效益大幅增加，包括個人化的病患照護。隨著電子健康記錄 (EHR) 和其他眾多預測分析工具擴大採用臨床決策支持，醫療保健產業不斷發展。暗分析是流行的新興解決方案之一，它提供了處理資料的能力，從而改善患者的治療結果、患者之間更一致的護理、營運效率和醫療保健成本節省機會。例如，根據敗血症聯盟的說法，敗血症是醫院死亡的主要原因。早期診斷和快速介入對於敗血症治療至關重要。由於膿毒症早期無症狀患者的可能性很大，人眼可能無法注意到醫療記錄中的資料與致命病症的早期指標之間的相關性。隨著新興的自然語言程式設計 (NLP) 技術的發展，這些電子健康記錄中的資料對於觸發警報系統、通知醫生和護理師進行醫療干預的預測模型來說是一個重要因素。研究表明，在敗血症發病的前 180 分鐘內提供全面的治療可以挽救 80% 的生命。

市場參與者

全球暗分析市場的主要市場參與者包括 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

服務概覽

  • 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 對全球暗分析市場的影響

第 4 章：執行摘要

第 5 章：客戶之聲

第 6 章：全球暗分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過分析（預測性、規範性和描述性）
    • 透過提供（解決方案和服務）
    • 依部署模式（雲端和本地）
    • 按最終用戶（醫療保健與生命科學、BFSI、零售與電子商務、遊戲、IT 與電信、媒體與娛樂、政府等）
    • 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：北美暗分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過分析
    • 透過提供
    • 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：亞太地區暗分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過分析
    • 透過提供
    • 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
    • 新加坡

第 9 章：歐洲暗分析市場展望

  • 市場規模及預測
    • 透過分析
    • 透過提供
    • 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

第 10 章：南美洲暗分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過分析
    • 透過提供
    • 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：中東和非洲暗分析市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過分析
    • 透過提供
    • 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
    • 物聯網的出現以及透過連接設備產生的大量數據的激增
    • 零售和電子商務的需求成長
    • 醫療保健產業對預測分析的需求增加
  • 挑戰
    • 大量原始數據和不同步數據
    • 解決方案成本高以及中小企業的預算限制

第 13 章：市場趨勢與發展

  • 無人機技術在商業應用上的普及
  • 對新興技術的需求增加
  • 中小企業增加對暗分析技術的投資
  • 巨量資料分析需求的成長

第 14 章：公司簡介

  • SAP系統公司
    • 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
  • 微焦點國際股份有限公司。
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 戴爾易安信
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 世代數位公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 亞馬遜網路服務公司
    • 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
  • 微軟公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 數據米爾公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 艾維波因特公司
    • 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: 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.)