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大数据即服务市场 - 全球产业规模、份额、趋势、机会和预测，2018-2028F - 按解决方案类型、按部署模型、按组织规模、按行业垂直、按地区和竞争

Big Data as a Service Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F - By Solution Type, By Deployment Model, By Organization Size, and By Industry Vertical, and By Region and Competition
出版日期: | 出版商: TechSci Research | 英文 190 Pages | 商品交期: 2-3个工作天内

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简介目录

全球大资料即服务市场预计将在预测期内蓬勃发展。大型企业越来越多地采用基于云端的高阶分析以及电子商务平台数量的增加是全球大资料即服务市场的主要驱动力。对技术复杂的大资料解决方案来储存、评估、收集、视觉化和预测海量资料中的资讯的需求不断增加，同时确保良好的资料品质和在组织中提供通道化资料流的必要性也随之增加。由于基于云端的资料分析解决方案的使用增加，预计大资料即服务的全球市场将在未来几年快速扩张。

数据数量和种类的增加推动市场成长

市场概况
预测期 2024-2028
2022 年市场规模 215.2亿美元
2028 年市场规模 1328.4亿美元
2023-2028 年复合年增长率 35.41%
成长最快的细分市场 混合云
最大的市场 北美洲

BDaaS 背景下资料的数量和种类不断增加，这意味着各种来源产生的资料呈指数级增长且具有多样性。资料激增是由企业数位转型、连网设备激增以及线上服务广泛采用等因素推动的。

资料量已达到前所未有的水平，组织累积了大量的结构化和非结构化资料。这包括客户互动、交易记录、社交媒体贴文、感测器资料、日誌檔案等。同时，资料的种类也不断扩展，涵盖了不同的格式，例如文字、图像、音讯、视讯和即时串流资料。此外，BDaaS 供应商在管理大量且多样化的资料并从中提取价值方面发挥着至关重要的作用。它们提供可扩展的基础设施、储存、处理和分析功能来处理不断增长的资料量。它们使组织能够有效地储存和处理资料、执行复杂的分析并得出可行的见解。有效处理大量和各种资料的能力使组织能够全面了解其营运、客户和市场趋势。它使他们能够做出数据驱动的决策、优化流程、改善客户体验、发现新的商机并推动创新。

BDaaS 参与者不断发展其平台，以适应不断增长的资料量和种类。它们整合了机器学习和即时分析等先进技术，以从资料中释放有价值的见解。这使组织能够充分利用大资料的潜力并利用它来获得战略优势，从而在以数据为中心的世界中保持竞争力。

大型企业越来越多地采用基于云端的高阶分析来帮助成长

基于云端的高阶分析支援的大资料技术服务的开发是全球大资料即服务业主要公司的首要重点。机器学习、视觉化、资料/文字探勘、预测、情感和语义分析、多元统计、网路和丛集分析、图形分析、复杂事件处理等应用程式都包含在基于云端的高级分析中。进阶分析工具进一步保护组织的网站和相关资料免受恶意网路攻击和不安全脚本的侵害。例如，2019 年 6 月，Oracle 公司和 Microsoft 公司联手协助使用者跨 Microsoft Azure 云端和 Oracle 云端提供的高阶分析行动和运行关键任务业务。在未来几年中，该联盟将为 BDaaS 提供者的广泛前景提供帮助。

增加电子商务平台数量以促进成长

全球连网设备数量不断增加是推动全球大资料即服务市场成长的主要驱动力之一。终端用户产业正在采用连网设备进行商业和生产运营，包括政府、媒体和娱乐、零售、BFSI 和製造业。物联网 (IoT) 生态系统包括互联设备，这些设备会产生大量资料。许多分析应用程序，包括资料/文字探勘、复杂事件处理、多元统计、神经网路等，都使用这些收集和储存的资料。福布斯媒体有限责任公司的一项研究。 2018 年 5 月发布的研究发现，平均每天产生 2.5 兆位元组的资料。由于连结设备的激增，预计在预测期内对 BDaaS 的需求将会增加。

安全漏洞的增加和熟练专业人员的缺乏阻碍了市场的成长

儘管 BDaaS 提供了广泛的优势，例如端到端解决方案、改进的储存和可处理性，但该解决方案仍存在一些限制。安全缺陷、部署和可操作性问题以及合格专家的短缺是主要的市场限制因素之一。此外，寻找并留住技术工人来创建复杂的 BDaaS 也是阻碍成长的障碍。

随着 BDaaS 平台中储存和处理的资料量和价值的增加，安全漏洞的风险也随之升级。网路犯罪分子不断改进他们的技术来利用漏洞并获得对敏感资料的未经授权的存取。 BDaaS 平台中的任何安全漏洞都可能造成严重后果，包括财务损失、声誉损害和法律责任。这些违规行为削弱了客户对 BDaaS 提供者的信任和信心，阻碍了市场成长。为了应对这项挑战，BDaaS 提供者必须优先考虑资料安全并采取强有力的安全措施。这包括实施强大的加密技术、存取控制和身份验证机制。定期安全审计、漏洞评估和事件回应计画对于主动识别和解决潜在威胁也至关重要。

克服这些挑战对于全球大资料即服务市场的永续成长至关重要。 BDaaS 供应商必须展现对资料安全的坚定承诺，投资尖端安全技术，并积极参与人才发展计画。透过因应这些挑战，全球大资料即服务市场可以培养客户之间的信任，加速采用，并为各行业的组织释放大资料分析的全部潜力。

市场区隔

全球大资料即服务市场根据解决方案类型、部署模型、组织规模、垂直产业和区域进行细分。根据解决方案类型，市场分为hadoop即服务、资料即服务和资料分析即服务。根据部署模式，市场分为公有云、私有云和混合云。根据组织规模，市场分为中小企业和大型企业。根据垂直行业，市场分为 BFSI、零售和电子商务、IT 和电信、医疗保健、政府、製造业等。按地区划分，市场进一步分为北美、亚太地区、欧洲、南美、中东和非洲。

市场参与者

全球大资料即服务市场的主要市场参与者包括微软公司、甲骨文公司、Google有限责任公司、惠普企业开发有限公司、埃森哲、Teradata公司、Sap SE、Sas Institute Inc.、亚马逊网路服务公司和International商业机器公司。

报告范围：

在本报告中，除了以下详细介绍的产业趋势外，全球大资料即服务市场也分为以下几类。

大数据即服务市场，依解决方案类型：

  • Hadoop 即服务
  • 数据即服务
  • 数据分析即服务

大数据即服务市场，依部署模型：

  • 公有云
  • 私有云
  • 混合云

大数据即服务市场，依组织规模划分：

  • 中小企业
  • 大型企业

大数据即服务市场，依产业垂直划分：

  • BFSI
  • 零售与电子商务
  • 资讯科技与电信
  • 卫生保健
  • 政府
  • 製造业
  • 其他的

大数据即服务市场（按地区）：

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 亚太
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲
  • 欧洲
  • 德国
  • 英国
  • 法国
  • 西班牙
  • 义大利
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚
  • 中东
  • 沙乌地阿拉伯
  • 南非
  • 阿联酋

竞争格局

  • 公司简介：对全球大资料即服务市场中主要公司的详细分析。

可用的客製化：

  • 根据给定的市场资料，Tech Sci Research 根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：
  • 公司资讯
  • 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：服务概述

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

第 2 章：研究方法

  • 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：执行摘要

第 4 章：客户之声

第 5 章：全球大数据即服务市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依解决方案类型（Hadoop 即服务、资料即服务和资料分析即服务）
    • 依部署模型（公有云、私有云和混合云）
    • 按组织规模（中小企业和大型企业）
    • 按行业垂直（BFSI、零售和电子商务、IT 和电信、医疗保健、政府、製造业等）
    • 按地区
  • 按公司划分 (2022)
  • 市场地图

第 6 章：北美大数据即服务市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按解决方案类型
    • 按部署模型
    • 按组织规模
    • 按行业分类
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 7 章：亚太地区大数据即服务市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按解决方案类型
    • 按部署模型
    • 按组织规模
    • 按行业分类
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第 8 章：欧洲大数据即服务市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按解决方案类型
    • 按部署模型
    • 按组织规模
    • 按行业分类
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙

第 9 章：南美洲大数据即服务市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按解决方案类型
    • 按部署模型
    • 按组织规模
    • 按行业分类
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 10 章：中东和非洲大数据即服务市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按解决方案类型
    • 按部署模型
    • 按组织规模
    • 按行业分类
    • 按国家/地区
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 南非
    • 阿联酋

第 11 章：市场动态

  • 司机
  • 挑战

第 12 章：市场趋势与发展

第 13 章：公司简介

  • 微软公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 甲骨文公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 谷歌有限责任公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 惠普企业开发有限公司
    • 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
  • 萨普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
  • 亚马逊网路服务公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 国际商业机器公司 (IBM)
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services

第 14 章：策略建议

第 15 章：关于我们与免责声明

简介目录
Product Code: 15734

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 Period2024-2028
Market Size 2022USD 21.52 Billion
Market Size 2028USD 132.84 Billion
CAGR 2023-202835.41%
Fastest Growing SegmentHybrid Cloud
Largest MarketNorth 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