巨量資料即服務市場 - 全球產業規模、佔有率、趨勢、機會和預測，2018-2028F - 按解決方案類型、按部署模型、按組織規模、按行業垂直、按地區和競爭

全球大資料即服務市場預計將在預測期內蓬勃發展。大型企業擴大採用基於雲端的高階分析以及電子商務平台數量的增加是全球大資料即服務市場的主要驅動力。對技術複雜的大資料解決方案來儲存、評估、收集、視覺化和預測海量資料中的資訊的需求不斷增加，同時確保良好的資料品質和在組織中提供通道化資料流的必要性也隨之增加。由於基於雲端的資料分析解決方案的使用增加，預計大資料即服務的全球市場將在未來幾年快速擴張。

數據數量和種類的增加推動市場成長

市場概況
預測期	2024-2028
2022 年市場規模	215.2億美元
2028 年市場規模	1328.4億美元
2023-2028 年年複合成長率	35.41%
成長最快的細分市場	混合雲端端端端端
最大的市場	北美洲

BDaaS 背景下資料的數量和種類不斷增加，這意味著各種來源產生的資料呈指數級成長且具有多樣性。資料激增是由企業數位轉型、連網設備激增以及線上服務廣泛採用等因素推動的。

資料量已達到前所未有的水平，組織累積了大量的結構化和非結構化資料。這包括客戶互動、交易記錄、社交媒體貼文、感測器資料、日誌檔案等。同時，資料的種類也不斷擴展，涵蓋了不同的格式，例如文字、圖像、音訊、視訊和即時串流資料。此外，BDaaS 供應商在管理大量且多樣化的資料並從中提取價值方面發揮著至關重要的作用。它們提供可擴展的基礎設施、儲存、處理和分析功能來處理不斷成長的資料量。它們使組織能夠有效地儲存和處理資料、執行複雜的分析並得出可行的見解。有效處理大量和各種資料的能力使組織能夠全面了解其營運、客戶和市場趨勢。它使他們能夠做出數據驅動的決策、最佳化流程、改善客戶體驗、發現新的商機並推動創新。

BDaaS 參與者不斷發展其平台，以適應不斷成長的資料量和種類。它們整合了機器學習和即時分析等先進技術，以從資料中釋放有價值的見解。這使組織能夠充分利用大資料的潛力並利用它來獲得戰略優勢，從而在以數據為中心的世界中保持競爭力。

大型企業擴大採用基於雲端的高階分析來幫助成長

基於雲端的高階分析支援的大資料技術服務的開發是全球大資料即服務業主要公司的首要重點。機器學習、視覺化、資料/文字探勘、預測、情感和語義分析、多元統計、網路和叢集分析、圖形分析、複雜事件處理等應用程式都包含在基於雲端的高級分析中。進階分析工具進一步保護組織的網站和相關資料免受惡意網路攻擊和不安全腳本的侵害。例如，2019 年 6 月，Oracle 公司和 Microsoft 公司聯手協助使用者跨 Microsoft Azure 雲端和 Oracle 雲端提供的高階分析行動和運行關鍵任務業務。在未來幾年中，該聯盟將為 BDaaS 提供者的廣泛前景提供幫助。

增加電子商務平台數量以促進成長

全球連網設備數量不斷增加是推動全球大資料即服務市場成長的主要驅動力之一。終端用戶產業正在採用連網設備進行商業和生產營運，包括政府、媒體和娛樂、零售、BFSI 和製造業。物聯網 (IoT) 生態系統包括互聯設備，這些設備會產生大量資料。許多分析應用程式，包括資料/文字探勘、複雜事件處理、多元統計、神經網路等，都使用這些收集和儲存的資料。福布斯媒體有限責任公司的一項研究。 2018 年 5 月發布的研究發現，平均每天產生 2.5 兆位元組的資料。由於連結設備的激增，預計在預測期內對 BDaaS 的需求將會增加。

安全漏洞的增加和熟練專業人員的缺乏阻礙了市場的成長

儘管 BDaaS 提供了廣泛的優勢，例如端到端解決方案、改進的儲存和可處理性，但該解決方案仍存在一些限制。安全缺陷、部署和可操作性問題以及合格專家的短缺是主要的市場限制因素之一。此外，尋找並留住技術工人來創建複雜的 BDaaS 也是阻礙成長的障礙。

隨著 BDaaS 平台中儲存和處理的資料量和價值的增加，安全漏洞的風險也隨之升級。網路犯罪分子不斷改進他們的技術來利用漏洞並獲得對敏感資料的未經授權的存取。 BDaaS 平台中的任何安全漏洞都可能造成嚴重後果，包括財務損失、聲譽損害和法律責任。這些違規行為削弱了客戶對 BDaaS 提供者的信任和信心，阻礙了市場成長。為了應對這項挑戰，BDaaS 提供者必須優先考慮資料安全並採取強力的安全措施。這包括實施強大的加密技術、存取控制和身份驗證機制。定期安全審計、漏洞評估和事件回應計畫對於主動識別和解決潛在威脅也至關重要。

克服這些挑戰對於全球大資料即服務市場的永續成長至關重要。 BDaaS 供應商必須展現對資料安全的堅定承諾，投資尖端安全技術，並積極參與人才發展計畫。透過因應這些挑戰，全球大資料即服務市場可以培養客戶之間的信任，加速採用，並為各行業的組織釋放大資料分析的全部潛力。

市場區隔

全球大資料即服務市場根據解決方案類型、部署模型、組織規模、垂直產業和區域進行細分。根據解決方案類型，市場分為hadoop即服務、資料即服務和資料分析即服務。根據部署模式，市場分為公有雲、私有雲和混合雲端端端端端。根據組織規模，市場分為中小企業和大型企業。根據垂直行業，市場分為 BFSI、零售和電子商務、IT 和電信、醫療保健、政府、製造業等。按地區分類，市場進一步分為北美、亞太地區、歐洲、南美、中東和非洲。

市場參與者

全球大資料即服務市場的主要市場參與者包括微軟公司、甲骨文公司、Google有限責任公司、惠普企業開發有限公司、埃森哲、Teradata公司、Sap SE、Sas Institute Inc.、亞馬遜網路服務公司和International商業機器公司。

報告範圍：

在本報告中，除了以下詳細介紹的產業趨勢外，全球大資料即服務市場也分為以下幾類。

巨量資料即服務市場，依解決方案類型：

• Hadoop 即服務
• 數據即服務
• 數據分析即服務

巨量資料即服務市場，依部署模型：

• 公有雲
• 私有雲
• 混合雲端端端端端

巨量資料即服務市場，依組織規模分類：

• 中小企業
• 大型企業

巨量資料即服務市場，依產業垂直分類：

• BFSI
• 零售與電子商務
• 資訊科技與電信
• 衛生保健
• 政府
• 製造業
• 其他

巨量資料即服務市場（按地區）：

• 北美洲
• 美國
• 加拿大
• 墨西哥
• 亞太
• 中國
• 印度
• 日本
• 韓國
• 澳洲
• 歐洲
• 德國
• 英國
• 法國
• 西班牙
• 義大利
• 南美洲
• 巴西
• 阿根廷
• 哥倫比亞
• 中東
• 沙烏地阿拉伯
• 南非
• 阿拉伯聯合大公國

競爭格局

• 公司簡介：對全球大資料即服務市場中主要公司的詳細分析。

可用的客製化：

• 根據給定的市場資料，Tech Sci Research 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
  • 研究年份
  • 主要市場區隔

第 2 章：研究方法

• 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：執行摘要

第 4 章：客戶之聲

第 5 章：全球巨量資料即服務市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 依解決方案類型（Hadoop 即服務、資料即服務和資料分析即服務）
  • 依部署模型（公有雲、私有雲和混合雲端端端端端）
  • 按組織規模（中小企業和大型企業）
  • 按行業垂直（BFSI、零售和電子商務、IT 和電信、醫療保健、政府、製造業等）
  • 按地區
• 按公司分類 (2022)
• 市場地圖

第 6 章：北美巨量資料即服務市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按解決方案類型
  • 按部署模型
  • 按組織規模
  • 按行業分類
  • 按國家/地區
• 北美：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第 7 章：亞太地區巨量資料即服務市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按解決方案類型
  • 按部署模型
  • 按組織規模
  • 按行業分類
  • 按國家/地區
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第 8 章：歐洲巨量資料即服務市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按解決方案類型
  • 按部署模型
  • 按組織規模
  • 按行業分類
  • 按國家/地區
• 歐洲：國家分析
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙

第 9 章：南美洲巨量資料即服務市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按解決方案類型
  • 按部署模型
  • 按組織規模
  • 按行業分類
  • 按國家/地區
• 南美洲：國家分析
  • 巴西
  • 阿根廷
  • 哥倫比亞

第 10 章：中東和非洲巨量資料即服務市場展望

• 市場規模及預測
  • 按價值
• 市佔率及預測
  • 按解決方案類型
  • 按部署模型
  • 按組織規模
  • 按行業分類
  • 按國家/地區
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 南非
  • 阿拉伯聯合大公國

第 11 章：市場動態

• 促進要素
• 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

• 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
• 谷歌有限責任公司
  • Business Overview
  • Key Revenue and Financials
  • Recent Developments
  • Key Personnel
  • Key Product/Services
• 惠普企業開發有限公司
  • Business Overview
  • Key Revenue and Financials
  • Recent Developments
  • Key Personnel
  • Key Product/Services
• 埃森哲
  • Business Overview
  • Key Revenue and Financials
  • Recent Developments
  • Key Personnel
  • Key Product/Services
• 天睿公司
  • Business Overview
  • Key Revenue and Financials
  • Recent Developments
  • Key Personnel
  • Key Product/Services
• 薩普SE
  • Business Overview
  • Key Revenue and Financials
  • Recent Developments
  • Key Personnel
  • Key Product/Services
• Sas研究所公司
  • 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
• 國際商業機器公司 (IBM)
  • Business Overview
  • Key Revenue and Financials
  • Recent Developments
  • Key Personnel
  • Key Product/Services

第 14 章：策略建議

第 15 章：關於我們與免責聲明

Global big data as a service market is expected to thrive during the forecast period. Rising adoption of cloud-based advanced analytics by large enterprises and increasing number of ecommerce platforms are the main drivers of the global big data as a service market. The need for technologically sophisticated big data solutions to store, evaluate, gather, visualize, and anticipate information from massive data volumes has increased along with the necessity to ensure good data quality and provide a channelized data flow in organizations. The global market for big data as a service is anticipated to experience rapid expansion in the ensuing years due to the increased usage of cloud-based data analytics solutions.

The global big data as a service market refers to the industry that provides cloud-based services for managing and analyzing large volumes of data. Big data as a service (BDaaS) is a model where organizations outsource their big data needs to service providers who offer infrastructure, storage, processing, and analytics capabilities in the cloud.

Increasing Volume and Variety of Data Drives Market Growth

Market Overview
Forecast Period	2024-2028
Market Size 2022	USD 21.52 Billion
Market Size 2028	USD 132.84 Billion
CAGR 2023-2028	35.41%
Fastest Growing Segment	Hybrid Cloud
Largest Market	North America

The increasing volume and variety of data in the context of BDaaS signifies the exponential growth and diverse nature of data being generated by various sources. This surge in data is driven by factors such as the digital transformation of businesses, the proliferation of connected devices, and the widespread adoption of online services.

The volume of data has reached unprecedented levels, with organizations accumulating vast amounts of structured and unstructured data. This includes customer interactions, transactional records, social media posts, sensor data, log files, and more. Simultaneously, the variety of data has expanded, encompassing different formats, such as text, images, audio, video, and real-time streaming data. Additionally, BDaaS providers play a crucial role in managing and extracting value from this massive and varied data. They offer scalable infrastructure, storage, processing, and analytics capabilities to handle the growing data volumes. They enable organizations to store and process data efficiently, perform complex analytics, and derive actionable insights. The ability to effectively handle the volume and variety of data allows organizations to gain a comprehensive understanding of their operations, customers, and market trends. It empowers them to make data-driven decisions, optimize processes, improve customer experiences, identify new business opportunities, and drive innovation.

BDaaS players continually evolve their platforms to accommodate the increasing data volume and variety. They integrate advanced technologies such as machine learning and real-time analytics to unlock valuable insights from the data. This enables organizations to stay competitive in a data-centric world by harnessing the full potential of big data and leveraging it for strategic advantages.

Increasing Adoption of Cloud-based Advanced Analytics by Large Enterprises to Aid Growth

The development of big data technology services supported by cloud-based advanced analytics is the primary emphasis of major companies in the big data as a service industry across the world. Applications for machine learning, visualization, data/text mining, forecasting, sentiment and semantic analysis, multivariate statistics, network and cluster analysis, graph analysis, complex event processing, and others are all included in cloud-based advanced analytics. The organization's websites and associated data library are further protected by the advanced analytics tools from malicious cyberattacks and unsafe scripts. As an illustration, in June 2019, Oracle Corporation and Microsoft Corporation teamed to help users move and run mission-critical business across advanced analytics, made available by the Microsoft Azure Cloud and the Oracle Cloud. In the upcoming years, this alliance will assist a wide range of prospects for BDaaS providers.

Increasing Number of Ecommerce Platforms to Bolster Growth

The growing number of connected devices across the world is one of the main drivers propelling the growth of the global big data as a service market. Connected devices are being adopted by end-user industries for their commercial and production operations, including government, media & entertainment, retail, BFSI, and manufacturing. The internet of things (IoT) ecosystem includes connected gadgets, which produce enormous volumes of data. Numerous analytical applications, including data/text mining, complex event processing, multivariate statistics, neural networks, and others, use this data, which is gathered and stored. A study by Forbes Media LLC. published in May 2018 found that 2.5 quintillion bytes of data are produced daily on average. The need for BDaaS is anticipated to increase during the forecast period due to the proliferation of linked devices.

Rising Security Breaches and Lack of Skilled Professionals Hamper Market Growth

Although BDaaS offers a wide range of advantages such end-to-end solutions, improved storage, and tractability, the solutions have a few limitations. Security flaws, deployment and operability problems, and a shortage of qualified specialists are a few of the major market constraints. In addition, finding and keeping skilled workers to create complex BDaaS is a barrier impeding growth.

As the volume and value of data stored and processed in BDaaS platforms increase, the risk of security breaches also escalates. Cybercriminals are constantly evolving their techniques to exploit vulnerabilities and gain unauthorized access to sensitive data. Any security breach in BDaaS platforms can have severe consequences, including financial losses, reputational damage, and legal liabilities. These breaches erode customer trust and confidence in BDaaS providers, hindering market growth. To mitigate this challenge, BDaaS providers must prioritize data security and adopt robust security measures. This includes implementing strong encryption techniques, access controls, and authentication mechanisms. Regular security audits, vulnerability assessments, and incident response plans are also crucial to identify and address potential threats proactively.

Overcoming these challenges is critical for the sustainable growth of the global big data as a service market. BDaaS providers must demonstrate a strong commitment to data security, invest in cutting-edge security technologies, and actively participate in talent development initiatives. By addressing these challenges, the global big data as a service market can foster trust among customers, accelerate adoption, and unlock the full potential of big data analytics for organizations across industries.

Market Segmentation

The global big data as a service market is segmented on the basis of solution type, deployment model, organization size, industry vertical, and region. Based on solution type, the market is divided into hadoop-as-a-service, data-as-a-service, and data analytics-as-a-service. Based on deployment model, the market is divided into public cloud, private cloud, and hybrid cloud. Based on organization size, the market is divided into small & medium enterprises and large enterprises. Based on industry vertical, the market is divided into BFSI, retail and e-commerce, IT & telecom, healthcare, government, manufacturing, and others. Based on region, the market is further bifurcated into North America, Asia-Pacific, Europe, South America, and Middle East & Africa.

Market players

Major market players in the global big data as a service market are Microsoft Corporation, Oracle Corporation, Google LLC, Hewlett Packard Enterprise Development LP, Accenture, Teradata Corporation, Sap SE, Sas Institute Inc., Amazon Web Services, Inc., and International Business Machines Corporation.

Report Scope:

In this report, the global big data as a service market has been segmented into the following categories, in addition to the industry trends which have also been detailed below.

Big Data as a Service Market, By Solution Type:

• Hadoop-as-a-Service
• Data-as-a-Service
• Data Analytics-as-a-Service

Big Data as a Service Market, By Deployment Model:

• Public Cloud
• Private Cloud
• Hybrid Cloud

Big Data as a Service Market, By Organization Size:

• Small & Medium Enterprises
• Large Enterprises

Big Data as a Service Market, By Industry Vertical:

• BFSI
• Retail and E-Commerce
• IT & Telecom
• Healthcare
• Government
• Manufacturing
• Others

Big Data as a Service Market, By Region:

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

Competitive Landscape

• Company Profiles: Detailed analysis of the major companies present in the global big data as a service market.

Available Customizations:

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

3. Executive Summary

4. Voice of Customers

5. Global Big Data as a Service Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Solution Type (Hadoop-as-a-Service, Data-as-a-Service, and Data Analytics-as-a-Service)
  • 5.2.2. By Deployment Model (Public Cloud, Private Cloud, and Hybrid Cloud)
  • 5.2.3. By Organization Size (Small & Medium Enterprises and Large Enterprises)
  • 5.2.4. By Industry Vertical (BFSI, Retail and E-Commerce, IT & Telecom, Healthcare, Government, Manufacturing, and Others)
  • 5.2.5. By Region
• 5.3. By Company (2022)
• 5.4. Market Map

6. North America Big Data as a Service Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Solution Type
  • 6.2.2. By Deployment Model
  • 6.2.3. By Organization Size
  • 6.2.4. By Industry Vertical
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Big Data as a Service Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Solution Type
      • 6.3.1.2.2. By Deployment Model
      • 6.3.1.2.3. By Organization Size
      • 6.3.1.2.4. By Industry Vertical
  • 6.3.2. Canada Big Data as a Service Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Solution Type
      • 6.3.2.2.2. By Deployment Model
      • 6.3.2.2.3. By Organization Size
      • 6.3.2.2.4. By Industry Vertical
  • 6.3.3. Mexico Big Data as a Service Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Solution Type
      • 6.3.3.2.2. By Deployment Model
      • 6.3.3.2.3. By Organization Size
      • 6.3.3.2.4. By Industry Vertical

7. Asia-Pacific Big Data as a Service Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Solution Type
  • 7.2.2. By Deployment Model
  • 7.2.3. By Organization Size
  • 7.2.4. By Industry Vertical
  • 7.2.5. By Country
• 7.3. Asia-Pacific: Country Analysis
  • 7.3.1. China Big Data as a Service 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 Solution Type
      • 7.3.1.2.2. By Deployment Model
      • 7.3.1.2.3. By Organization Size
      • 7.3.1.2.4. By Industry Vertical
  • 7.3.2. India Big Data as a Service Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Size & Forecast
      • 7.3.2.2.1. By Solution Type
      • 7.3.2.2.2. By Deployment Model
      • 7.3.2.2.3. By Organization Size
      • 7.3.2.2.4. By Industry Vertical
  • 7.3.3. Japan Big Data as a Service Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Size & Forecast
      • 7.3.3.2.1. By Solution Type
      • 7.3.3.2.2. By Deployment Model
      • 7.3.3.2.3. By Organization Size
      • 7.3.3.2.4. By Industry Vertical
  • 7.3.4. South Korea Big Data as a Service Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Size & Forecast
      • 7.3.4.2.1. By Solution Type
      • 7.3.4.2.2. By Deployment Model
      • 7.3.4.2.3. By Organization Size
      • 7.3.4.2.4. By Industry Vertical
  • 7.3.5. Australia Big Data as a Service Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Solution Type
      • 7.3.5.2.2. By Deployment Model
      • 7.3.5.2.3. By Organization Size
      • 7.3.5.2.4. By Industry Vertical

8. Europe Big Data as a Service Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Solution Type
  • 8.2.2. By Deployment Model
  • 8.2.3. By Organization Size
  • 8.2.4. By Industry Vertical
  • 8.2.5. By Country
• 8.3. Europe: Country Analysis
  • 8.3.1. Germany Big Data as a Service 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 Solution Type
      • 8.3.1.2.2. By Deployment Model
      • 8.3.1.2.3. By Organization Size
      • 8.3.1.2.4. By Industry Vertical
  • 8.3.2. United Kingdom Big Data as a Service 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 Solution Type
      • 8.3.2.2.2. By Deployment Model
      • 8.3.2.2.3. By Organization Size
      • 8.3.2.2.4. By Industry Vertical
  • 8.3.3. France Big Data as a Service 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 Solution Type
      • 8.3.3.2.2. By Deployment Model
      • 8.3.3.2.3. By Organization Size
      • 8.3.3.2.4. By Industry Vertical
  • 8.3.4. Italy Big Data as a Service 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 Solution Type
      • 8.3.4.2.2. By Deployment Model
      • 8.3.4.2.3. By Organization Size
      • 8.3.4.2.4. By Industry Vertical
  • 8.3.5. Spain Big Data as a Service 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 Solution Type
      • 8.3.5.2.2. By Deployment Model
      • 8.3.5.2.3. By Organization Size
      • 8.3.5.2.4. By Industry Vertical

9. South America Big Data as a Service Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Solution Type
  • 9.2.2. By Deployment Model
  • 9.2.3. By Organization Size
  • 9.2.4. By Industry Vertical
  • 9.2.5. By Country
• 9.3. South America: Country Analysis
  • 9.3.1. Brazil Big Data as a Service Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Solution Type
      • 9.3.1.2.2. By Deployment Model
      • 9.3.1.2.3. By Organization Size
      • 9.3.1.2.4. By Industry Vertical
  • 9.3.2. Argentina Big Data as a Service Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Solution Type
      • 9.3.2.2.2. By Deployment Model
      • 9.3.2.2.3. By Organization Size
      • 9.3.2.2.4. By Industry Vertical
  • 9.3.3. Colombia Big Data as a Service Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Solution Type
      • 9.3.3.2.2. By Deployment Model
      • 9.3.3.2.3. By Organization Size
      • 9.3.3.2.4. By Industry Vertical

10. Middle East & Africa Big Data as a Service Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Solution Type
  • 10.2.2. By Deployment Model
  • 10.2.3. By Organization Size
  • 10.2.4. By Industry Vertical
  • 10.2.5. By Country
• 10.3. Middle East & Africa: Country Analysis
  • 10.3.1. Saudi Arabia Big Data as a Service 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 Solution Type
      • 10.3.1.2.2. By Deployment Model
      • 10.3.1.2.3. By Organization Size
      • 10.3.1.2.4. By Industry Vertical
  • 10.3.2. South Africa Big Data as a Service 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 Solution Type
      • 10.3.2.2.2. By Deployment Model
      • 10.3.2.2.3. By Organization Size
      • 10.3.2.2.4. By Industry Vertical
  • 10.3.3. UAE Big Data as a Service 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 Solution Type
      • 10.3.3.2.2. By Deployment Model
      • 10.3.3.2.3. By Organization Size
      • 10.3.3.2.4. By Industry Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

• 13.1. Microsoft Corporation
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services
• 13.2. Oracle Corporation
  • 13.2.1. Business Overview
  • 13.2.2. Key Revenue and Financials
  • 13.2.3. Recent Developments
  • 13.2.4. Key Personnel
  • 13.2.5. Key Product/Services
• 13.3. Google LLC
  • 13.3.1. Business Overview
  • 13.3.2. Key Revenue and Financials
  • 13.3.3. Recent Developments
  • 13.3.4. Key Personnel
  • 13.3.5. Key Product/Services
• 13.4. Hewlett Packard Enterprise Development LP
  • 13.4.1. Business Overview
  • 13.4.2. Key Revenue and Financials
  • 13.4.3. Recent Developments
  • 13.4.4. Key Personnel
  • 13.4.5. Key Product/Services
• 13.5. Accenture
  • 13.5.1. Business Overview
  • 13.5.2. Key Revenue and Financials
  • 13.5.3. Recent Developments
  • 13.5.4. Key Personnel
  • 13.5.5. Key Product/Services
• 13.6. Teradata Corporation
  • 13.6.1. Business Overview
  • 13.6.2. Key Revenue and Financials
  • 13.6.3. Recent Developments
  • 13.6.4. Key Personnel
  • 13.6.5. Key Product/Services
• 13.7. Sap SE
  • 13.7.1. Business Overview
  • 13.7.2. Key Revenue and Financials
  • 13.7.3. Recent Developments
  • 13.7.4. Key Personnel
  • 13.7.5. Key Product/Services
• 13.8. Sas Institute Inc.
  • 13.8.1. Business Overview
  • 13.8.2. Key Revenue and Financials
  • 13.8.3. Recent Developments
  • 13.8.4. Key Personnel
  • 13.8.5. Key Product/Services
• 13.9. Amazon Web Services, Inc.
  • 13.9.1. Business Overview
  • 13.9.2. Key Revenue and Financials
  • 13.9.3. Recent Developments
  • 13.9.4. Key Personnel
  • 13.9.5. Key Product/Services
• 13.10. International Business Machines Corporation (IBM)
  • 13.10.1. Business Overview
  • 13.10.2. Key Revenue and Financials
  • 13.10.3. Recent Developments
  • 13.10.4. Key Personnel
  • 13.10.5. Key Product/Services

14. Strategic Recommendations

15. About Us & Disclaimer