巨量资料即服务市场－全球产业规模、份额、趋势、机会、预测（依解决方案类型、部署模式、组织规模、产业垂直领域、地区和竞争格局划分，2021-2031）

全球巨量资料即服务市场预计将从 2025 年的 408.5 亿美元大幅成长至 2031 年的 1,794.1 亿美元，复合年增长率将达到 27.97%。

这种以云端为中心的交付模式使外部供应商能够提供资料管理、储存和分析功能，从而使企业摆脱维护庞大本地基础设施的负担。市场成长的主要驱动力是企业数据产生量的指数级增长，以及对可扩展、经济高效且能提供即时业务洞察的分析的迫切需求。正如经合组织2024年的报告指出，在巨量资料创新的推动下，资讯通信技术（ICT）产业的成长速度是整体经济的三倍，这凸显了易于取得的资讯服务在现代商业策略中发挥的关键作用。

然而，这种上升趋势也带来了与资料隐私和安全合规相关的重大挑战。将敏感资讯迁移到第三方云端平台，使得遵守诸如GDPR等严格的国际法规变得日益复杂且资源彙整资源。这些监管要求迫使服务提供者建立严格的管治框架，这可能会阻碍市场扩张，尤其是在那些对资料主权和共用云端环境中潜在的安全漏洞感到担忧的风险规避型企业中。

市场驱动因素

人工智慧 (AI) 和机器学习 (ML) 的融合正在从根本上重塑全球巨量资料即服务 (BaaS) 市场，催生了对强大且可扩展的基础设施的需求，以支援模型训练。随着企业寻求自动化核心流程并获得预测性洞察，它们越来越依赖云端託管资讯服务来满足这些工作负载所需的大量运算能力。这种融合使企业能够克服传统本地部署架构的局限性，并有效地处理海量资料集。根据 IBM 于 2024 年 1 月发布的《2023 年全球 AI 采用指数》，42% 的企业级组织正在积极采用 AI，这直接推动了资讯服务的消费，并促使供应商将 AI 功能整合到其 BDaaS 产品中。

同时，随着企业将敏捷性和成本效益置于首位，基于云端的分析技术的普及正在加速市场扩张。透过迁移到云端环境，企业可以利用弹性储存和运算能力，有效地将资本密集型成本转化为可控的营运支出。Oracle在2024年9月发布的第一季财报中突显了这一趋势，该财报显示云端基础设施营收年增45%至22亿美元，反映了企业向可扩展数据环境的快速转型。同样，CRN在2024年报道称，数据平台开发商Databricks的年增长率高达60%，进一步印证了市场对整合式云端交付数据智慧解决方案日益增长的需求。

市场挑战

严格的资料隐私和安全合规要求对全球巨量资料即服务市场的扩张构成重大障碍。随着企业加速将敏感资料集迁移到管治云端环境，它们面临遵守复杂国际法规的巨大压力。这种合规负担通常需要实施资源密集的治理框架，从而分散了企业用于采用新型分析服务的资金和精力。因此，受监管行业的公司往往会推迟或限制使用外部巨量资料解决方案，以避免因侵犯资料主权和潜在安全漏洞而带来的法律和声誉风险。

这些持续存在的安全隐患直接阻碍了市场对云端技术的接受度。当决策者意识到共用云端基础设施无法保证其资讯的绝对安全性时，即使云端模式效率更高，他们仍然选择将资料保留在本地。这种犹豫不决的情绪在业界是可以量化的：根据 ISC2 2024 年的一项调查，96% 的组织对公共云端环境的安全性表示了严重的担忧。这种普遍的担忧凸显了服务供应商在说服规避风险的企业将其关键数据完全委託给基于云端的交付模式方面所面临的困难，从而减缓了市场的整体成长速度。

市场趋势

资料湖仓库架构的出现正在改变市场格局，它将资料湖的柔软性与资料仓储的管理能力结合。这种架构转变使企业能够在低成本的云端储存上运行事务处理和管治，从而有效消除结构化资料和非结构化资料之间的营运孤岛。透过整合这些环境，BDaaS 供应商使企业能够在单一平台上运行商业智慧和机器学习工作负载，而无需复杂的资料复製。根据 Databricks 于 2024 年 5 月发布的《2024 年资料与人工智慧现况报告》，该公司 61% 的客户正在迁移到湖仓库架构，这显示他们对这种整合模式有着强烈的偏好。

随着企业从高延迟批次转向事件驱动架构，即时串流处理服务 (RSaaS) 的普及势头强劲。这一趋势的特点是采用託管平台，这些平台能够即时摄取、处理和分析来自物联网设备和数位互动的连续资料流。与传统方法不同，这些託管服务能够对关键业务事件（例如诈欺侦测和动态库存管理）做出即时回应，同时简化维护和管理串流基础架构的复杂性。根据 Confluent 于 2024 年 6 月发布的《2024 年资料流报告》，86% 的 IT 领导者将资料流列为首要策略重点，这表明即时功能在现代资料策略中至关重要。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球巨量资料即服务市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 依解决方案类型（Hadoop即服务、资料即服务、资料分析即服务）
  • 依部署模式（公共云端、私有云端、混合云端）
  • 依公司规模（中小企业、大型企业）
  • 按行业划分（银行、金融、保险、零售、电子商务、IT、通讯、医疗保健、政府、製造业、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章 北美巨量资料即服务市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

第七章 欧洲巨量资料即服务市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区巨量资料即服务市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章 中东和非洲巨量资料即服务市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章 南美洲巨量资料即服务市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球巨量资料即服务市场：SWOT分析

第十四章 波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• Microsoft Corporation
• Oracle Corporation
• Google LLC
• Hewlett Packard Enterprise Development LP
• Accenture Plc
• Teradata Corporation
• SAP SE
• Sas Institute Inc.
• Amazon Web Services, Inc.
• International Business Machines Corporation

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Big Data as a Service Market is projected to expand significantly, rising from USD 40.85 Billion in 2025 to USD 179.41 Billion by 2031, achieving a CAGR of 27.97%. This cloud-centric delivery model enables external providers to supply data management, storage, and analytical capabilities, thereby freeing organizations from the burden of maintaining massive on-premise infrastructure. The market's momentum is largely fueled by the exponential surge in enterprise data generation and the urgent need for scalable, cost-effective analytics that deliver immediate business insights. As noted by the OECD in 2024, the ICT sector, underpinned by big data innovations, grew at triple the rate of the general economy, highlighting the pivotal role of accessible data services in modern operational strategies.

However, this upward trajectory encounters significant hurdles related to data privacy and security compliance. Moving sensitive information to third-party cloud platforms makes adhering to strict international regulations, such as GDPR, increasingly complex and resource-intensive. These regulatory demands compel providers to establish rigorous governance frameworks, which can impede market expansion, particularly among risk-averse enterprises concerned about data sovereignty and the potential for security breaches within shared cloud environments.

Market Driver

The integration of Artificial Intelligence and Machine Learning is fundamentally reshaping the Global Big Data as a Service Market by creating a need for robust, scalable infrastructure to support model training. As enterprises seek to automate core processes and gain predictive insights, the reliance on cloud-hosted data services has intensified to meet the immense computational requirements of these workloads. This integration allows organizations to process vast datasets efficiently, overcoming the limitations of traditional on-premise architectures. According to IBM's 'Global AI Adoption Index 2023' released in January 2024, 42% of enterprise-scale organizations have actively deployed AI, directly fueling the consumption of data services and prompting vendors to embed AI capabilities into their BDaaS offerings.

Simultaneously, the widespread adoption of cloud-based analytics is accelerating market expansion as businesses prioritize agility and cost-efficiency. By migrating to cloud environments, companies can leverage elastic storage and computing power, effectively transforming capital-intensive costs into manageable operational expenditures. This trend is evidenced by Oracle's September 2024 'Q1 FY2025 Earnings Report', which showed a 45% year-over-year increase in Cloud Infrastructure revenue to $2.2 billion, reflecting a rapid shift toward scalable data environments. Similarly, CRN reported in 2024 that data platform developer Databricks achieved a 60% year-over-year growth rate, further underscoring the surging demand for unified, cloud-delivered data intelligence solutions.

Market Challenge

The rigorous demands of data privacy and security compliance represent a formidable barrier to the expansion of the Global Big Data as a Service Market. As organizations increasingly migrate sensitive datasets to third-party cloud environments, they encounter immense pressure to adhere to complex international regulations. This compliance burden often necessitates the implementation of resource-heavy governance frameworks, which diverts capital and attention away from adopting new analytical services. Consequently, enterprises in highly regulated sectors often delay or limit their use of external big data solutions to avoid the legal and reputational risks associated with data sovereignty violations or potential security breaches.

The persistence of these security anxieties directly reduces the velocity of market adoption. When decision-makers perceive that shared cloud infrastructures cannot guarantee absolute protection for their proprietary information, they opt to retain data on-premise despite the efficiency gains of the cloud model. This reluctance is quantifiable within the industry; according to ISC2 in 2024, 96% of organizations expressed significant concern regarding security within public cloud environments. This widespread apprehension underscores the difficulty service providers face in convincing risk-averse businesses to fully entrust their critical data to cloud-based delivery models, thereby stalling the overall growth trajectory of the market.

Market Trends

The emergence of Data Lakehouse architectures is transforming the market by unifying the flexibility of data lakes with the management features of data warehouses. This architectural shift enables organizations to perform transaction handling and governance on low-cost cloud storage, effectively eliminating the operational silos between structured and unstructured data. By converging these environments, BDaaS providers allow enterprises to run business intelligence and machine learning workloads on a single platform without complex data duplication. According to Databricks' '2024 State of Data + AI' report from May 2024, 61% of their customers are migrating to the Lakehouse architecture, indicating a strong preference for this unified model.

The shift toward Real-Time Stream Processing as a Service is gaining momentum as enterprises abandon high-latency batch processing for event-driven architectures. This trend is characterized by the adoption of managed platforms that ingest, process, and analyze continuous data flows from IoT devices and digital interactions instantaneously. Unlike traditional methods, these managed services enable immediate responsiveness to critical business events, such as fraud detection and dynamic inventory management, while abstracting the complexity of maintaining streaming infrastructure. According to Confluent's '2024 Data Streaming Report' from June 2024, 86% of IT leaders identified data streaming as a top strategic priority, reflecting the critical necessity of real-time capabilities in modern data strategies.

Key Market Players

• Microsoft Corporation
• Oracle Corporation
• Google LLC
• Hewlett Packard Enterprise Development LP
• Accenture Plc
• Teradata Corporation
• SAP SE
• Sas Institute Inc.
• Amazon Web Services, Inc.
• 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
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Big Data as a Service Market.

Available Customizations:

Global Big Data as a Service Market report with the given market data, TechSci 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. Product 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. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

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, Data Analytics-as-a-Service)
  • 5.2.2. By Deployment Model (Public Cloud, Private Cloud, Hybrid Cloud)
  • 5.2.3. By Organization Size (Small & Medium Enterprises, Large Enterprises)
  • 5.2.4. By Industry Vertical (BFSI, Retail and E-Commerce, IT & Telecom, Healthcare, Government, Manufacturing, Others)
  • 5.2.5. By Region
  • 5.2.6. By Company (2025)
• 5.3. 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. Europe 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. Europe: Country Analysis
  • 7.3.1. Germany 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. France 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 Share & 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. United Kingdom 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 Share & 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. Italy 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 Share & 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. Spain 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. Asia Pacific 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. Asia Pacific: Country Analysis
  • 8.3.1. China 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. India 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. Japan 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. South Korea 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. Australia 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. Middle East & Africa 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. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia 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. UAE 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. South Africa 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. South America 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. South America: Country Analysis
  • 10.3.1. Brazil 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. Colombia 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. Argentina 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

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Big Data as a Service Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Microsoft Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Oracle Corporation
• 15.3. Google LLC
• 15.4. Hewlett Packard Enterprise Development LP
• 15.5. Accenture Plc
• 15.6. Teradata Corporation
• 15.7. SAP SE
• 15.8. Sas Institute Inc.
• 15.9. Amazon Web Services, Inc.
• 15.10. International Business Machines Corporation

16. Strategic Recommendations

17. About Us & Disclaimer