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Big Data as a Service Market Size, Share & Trends Analysis Report By Deployment (Public Cloud, Hybrid Cloud, and Private Cloud), By Solution, By Enterprise Size, By End Use, By Regional Outlook and Forecast, 2024 - 2031

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    Report

  • 485 Pages
  • October 2024
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6020419
The Global Big Data as a Service Market size is expected to reach $106.6 billion by 2031, rising at a market growth of 19.5% CAGR during the forecast period.

The BFSI industry generates vast amounts of data through transactions, customer interactions, and regulatory requirements, necessitating robust data management and analytics solutions. By leveraging BDaaS, financial institutions can analyze customer behaviour, assess credit risk, detect fraudulent activities, and comply with regulatory mandates more efficiently. In 2023, the BFSI segment registered nearly 1/4th revenue share in the market. This prominence can be attributed to the sector's increasing reliance on data analytics to drive decision-making, enhance customer experiences, and mitigate risks. As the competition in the BFSI sector intensifies, the demand for real-time analytics and insights continues to grow, further solidifying the segment's position within the BDaaS market.



The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In September, 2024, Amazon Web Services (AWS) has formed a strategic partnership with Oracle to improve cloud service integration and enhance customer experiences. This partnership aims to enable seamless migration of Oracle workloads to AWS, providing customers with greater flexibility and access to a broader range of cloud solutions. Additionally, In June, 2024, IBM Corporation teamed up with Telefónica Tech, an IT service management company to enhance AI, analytics, and data management solutions. This collaboration will deploy SHARK.X, a multi-cloud platform, and establish a use case office for client pilots. The initiative also includes training for digital transformation, aiming to deliver advanced generative AI solutions for business growth.

KBV Cardinal Matrix - Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Big Data as a Service Market. In September, 2024, Microsoft partnered with KT Corporation, to significantly advance artificial intelligence innovation in Korea. This partnership aims to accelerate the development and deployment of AI solutions tailored to meet the needs of local businesses and communities. Companies such as Amazon Web Services, Inc., Oracle Corporation, IBM Corporation are some of the key innovators in Big Data as a Service Market.



Market Growth Factors

Organizations increasingly require real-time data processing and analysis to stay competitive. The ability to quickly respond to market changes, customer needs, and operational challenges relies on timely insights derived from large datasets. BDaaS solutions provide the necessary capabilities to analyze data in real time, allowing businesses to make informed decisions swiftly and efficiently, thus propelling market growth. Therefore, rapid data volume and variety growth drive the market's growth.

Cloud computing facilitates the integration of various technologies, including artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT) devices. As businesses adopt these technologies to enhance their analytics capabilities, BDaaS solutions benefit from their synergistic effects. Processing and analyzing data from diverse sources in real time empowers organizations to derive deeper insights and make more informed decisions. Thus, the rising adoption of cloud computing worldwide drives the market's growth.

Market Restraining Factors

Transitioning to a new BDaaS platform may disrupt normal business operations, especially if the migration is not carefully planned and executed. Organizations may fear potential downtime or data loss during the transition could adversely affect their operations and customer satisfaction. This concern over operational risk adds to the hesitancy to invest in BDaaS, as organizations weigh the potential costs of disruptions against the benefits of adopting new technologies. In conclusion, the high costs of transitioning to BDaaS platforms are hampering the market's growth.

Driving and Restraining Factors

Drivers
  • Rapid Growth in Data Volume and Variety
  • Increased Demand for Data-Driven Decision-Making
  • Rising Adoption of Cloud Computing Worldwide
Restraints
  • High Costs of Transitioning to Bdaas Platforms
  • Performance and Scalability Limitations of Some Bdaas Solutions
Opportunities
  • Increasing Investment in AI and Machine Learning
  • Rising Collaborative Data Sharing Initiatives
Challenges
  • Limited Technical Expertise and Skills Gap in Data Management
  • Vendor Lock-in Risks with Bdaas Solutions

Deployment Outlook

Based on deployment, the market is divided into public cloud, private cloud, and hybrid cloud. The hybrid cloud segment attained 30% revenue share in the market in 2023. The hybrid model combines the advantages of both public and private clouds, allowing organizations to maintain sensitive data in a private environment while utilizing the public cloud for less critical operations. This approach offers enhanced flexibility and control over data management, making it particularly appealing to organizations with regulatory requirements or those needing to manage sensitive data.

Solution Outlook

On the basis of solution, the market is segmented into hadoop-as-a-service, data-as-a-service, and data analytics-as-a-service. In 2023, the data analytics-as-a-service segment attained 37% revenue share in the market. As organizations increasingly recognize the importance of data-driven decision-making, the demand for advanced analytics solutions continues to grow. Data Analytics-as-a-Service gives businesses access to sophisticated analytical tools and platforms, enabling them to analyze large datasets in real-time and derive actionable insights without investing heavily in on-premises solutions.

Enterprise Size Outlook

Based on enterprise size, the market is categorized into small & medium-sized business and large enterprise. The small & medium-sized business segment witnessed 38% revenue share in the market in 2023. The growth of the SMB segment in the big data as a service market can be attributed to several key factors. Firstly, the increasing affordability and accessibility of cloud-based solutions have made it easier for smaller organizations to implement big data analytics.



End Use Outlook

By end use, the market is divided into BFSI, manufacturing, retail, media & entertainment, healthcare, IT & telecommunication, and government. The manufacturing segment procured 17% revenue share in the market in 2023. As manufacturers increasingly embrace Industry 4.0 principles, the need for data-driven insights to optimize production processes, enhance supply chain management, and improve operational efficiency has become paramount. Big data solutions enable manufacturers to analyze data from IoT devices, production lines, and supply chains, facilitating predictive maintenance, quality control, and inventory optimization.

Market Competition and Attributes



The competition in the Big Data as a Service (BDaaS) Market is robust, driven by a diverse array of providers offering scalable solutions. Key factors influencing competition include the ability to handle vast data volumes, integration capabilities with existing systems, and the provision of advanced analytics tools. As organizations increasingly prioritize data-driven decision-making, the demand for flexible and cost-effective BDaaS solutions escalates. This dynamic landscape encourages continuous innovation and the development of customized offerings to cater to various industry needs.

By Regional Analysis

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed 35% revenue share in the market in 2023. This dominance can be attributed to several factors that position North America at the forefront of big data innovation. The region has numerous technology giants and a robust startup ecosystem that fosters big data analytics and cloud computing advancements. Additionally, North American enterprises have quickly adopted BDaaS solutions, leveraging them to enhance operational efficiencies, drive data-driven decision-making, and maintain a competitive edge.

Recent Strategies Deployed in the Market

  • Aug-2024: HPE completes acquisition of Morpheus Data, a leader in multi-cloud management. This acquisition strengthens HPE’s ability to simplify multi-cloud operations for its customers, providing a unified platform that streamlines cloud and hybrid IT environments.
  • Jun-2024: Oracle Corporation unveiled Oracle Fusion Cloud SCM customers will have access to Smart Operations, aimed at enhancing performance and decision-making for Oracle Cloud Manufacturing and Maintenance users. Key features include automated data capture workbenches for on-site workers and AI-driven anomaly detection with actionable recommendations.
  • Apr-2024: SAP SE unveiled new AI advancements in its supply chain solutions aimed at boosting productivity and efficiency in manufacturing. Real-time AI-driven insights will help companies optimize decisions, improve logistics, and enhance inventory management, addressing current disruptions. Future innovations, particularly generative AI, promise to transform supply chain operations significantly.
  • Nov-2023: Amazon Web Services, Inc. expanded its partnership with Salesforce, Inc., integrating products across data and AI and offering select Salesforce products on the AWS Marketplace. This simplifies data management and allows for the integration of advanced AI technologies into applications and workflows.
  • Oct-2023: Amazon Web Services, Inc. announced the launch of a sovereign cloud in Europe tailored for government and highly regulated industries. Data will be stored on EU servers, managed exclusively by EU-resident AWS employees. The service will initially launch in Germany before expanding to all European customers.

List of Key Companies Profiled

  • Hewlett Packard Enterprise Company
  • SAP SE
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • Oracle Corporation
  • Google LLC
  • IBM Corporation
  • Teradata Corporation
  • Dell Technologies, Inc.
  • Salesforce, Inc.

Market Report Segmentation

By Deployment
  • Public Cloud
  • Hybrid Cloud
  • Private Cloud
By Solution
  • Data Analytics-as-a-Service
  • Hadoop-as-a-Service
  • Data-as-a-Service
By Enterprise Size
  • Large Enterprise
  • Small & Medium-sized business
By End Use
  • BFSI
  • IT & Telecommunication
  • Manufacturing
  • Retail
  • Government
  • Healthcare
  • Media & Entertainment
  • Other End Use
By Geography
  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Big Data as a Service Market, by Deployment
1.4.2 Global Big Data as a Service Market, by Solution
1.4.3 Global Big Data as a Service Market, by Enterprise Size
1.4.4 Global Big Data as a Service Market, by End Use
1.4.5 Global Big Data as a Service Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2020, Jul - 2024, Sep) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Global Big Data as a Service Market by Deployment
5.1 Global Public Cloud Market by Region
5.2 Global Hybrid Cloud Market by Region
5.3 Global Private Cloud Market by Region
Chapter 6. Global Big Data as a Service Market by Solution
6.1 Global Data Analytics-as-a-Service Market by Region
6.2 Global Hadoop-as-a-Service Market by Region
6.3 Global Data-as-a-Service Market by Region
Chapter 7. Global Big Data as a Service Market by Enterprise Size
7.1 Global Large Enterprise Market by Region
7.2 Global Small & Medium-sized business Market by Region
Chapter 8. Global Big Data as a Service Market by End Use
8.1 Global BFSI Market by Region
8.2 Global IT & Telecommunication Market by Region
8.3 Global Manufacturing Market by Region
8.4 Global Retail Market by Region
8.5 Global Government Market by Region
8.6 Global Healthcare Market by Region
8.7 Global Media & Entertainment Market by Region
8.8 Global Other End Use Market by Region
Chapter 9. Global Big Data as a Service Market by Region
9.1 North America Big Data as a Service Market
9.1.1 North America Big Data as a Service Market by Deployment
9.1.1.1 North America Public Cloud Market by Country
9.1.1.2 North America Hybrid Cloud Market by Country
9.1.1.3 North America Private Cloud Market by Country
9.1.2 North America Big Data as a Service Market by Solution
9.1.2.1 North America Data Analytics-as-a-Service Market by Country
9.1.2.2 North America Hadoop-as-a-Service Market by Country
9.1.2.3 North America Data-as-a-Service Market by Country
9.1.3 North America Big Data as a Service Market by Enterprise Size
9.1.3.1 North America Large Enterprise Market by Country
9.1.3.2 North America Small & Medium-sized business Market by Country
9.1.4 North America Big Data as a Service Market by End Use
9.1.4.1 North America BFSI Market by Country
9.1.4.2 North America IT & Telecommunication Market by Country
9.1.4.3 North America Manufacturing Market by Country
9.1.4.4 North America Retail Market by Country
9.1.4.5 North America Government Market by Country
9.1.4.6 North America Healthcare Market by Country
9.1.4.7 North America Media & Entertainment Market by Country
9.1.4.8 North America Other End Use Market by Country
9.1.5 North America Big Data as a Service Market by Country
9.1.5.1 US Big Data as a Service Market
9.1.5.1.1 US Big Data as a Service Market by Deployment
9.1.5.1.2 US Big Data as a Service Market by Solution
9.1.5.1.3 US Big Data as a Service Market by Enterprise Size
9.1.5.1.4 US Big Data as a Service Market by End Use
9.1.5.2 Canada Big Data as a Service Market
9.1.5.2.1 Canada Big Data as a Service Market by Deployment
9.1.5.2.2 Canada Big Data as a Service Market by Solution
9.1.5.2.3 Canada Big Data as a Service Market by Enterprise Size
9.1.5.2.4 Canada Big Data as a Service Market by End Use
9.1.5.3 Mexico Big Data as a Service Market
9.1.5.3.1 Mexico Big Data as a Service Market by Deployment
9.1.5.3.2 Mexico Big Data as a Service Market by Solution
9.1.5.3.3 Mexico Big Data as a Service Market by Enterprise Size
9.1.5.3.4 Mexico Big Data as a Service Market by End Use
9.1.5.4 Rest of North America Big Data as a Service Market
9.1.5.4.1 Rest of North America Big Data as a Service Market by Deployment
9.1.5.4.2 Rest of North America Big Data as a Service Market by Solution
9.1.5.4.3 Rest of North America Big Data as a Service Market by Enterprise Size
9.1.5.4.4 Rest of North America Big Data as a Service Market by End Use
9.2 Europe Big Data as a Service Market
9.2.1 Europe Big Data as a Service Market by Deployment
9.2.1.1 Europe Public Cloud Market by Country
9.2.1.2 Europe Hybrid Cloud Market by Country
9.2.1.3 Europe Private Cloud Market by Country
9.2.2 Europe Big Data as a Service Market by Solution
9.2.2.1 Europe Data Analytics-as-a-Service Market by Country
9.2.2.2 Europe Hadoop-as-a-Service Market by Country
9.2.2.3 Europe Data-as-a-Service Market by Country
9.2.3 Europe Big Data as a Service Market by Enterprise Size
9.2.3.1 Europe Large Enterprise Market by Country
9.2.3.2 Europe Small & Medium-sized business Market by Country
9.2.4 Europe Big Data as a Service Market by End Use
9.2.4.1 Europe BFSI Market by Country
9.2.4.2 Europe IT & Telecommunication Market by Country
9.2.4.3 Europe Manufacturing Market by Country
9.2.4.4 Europe Retail Market by Country
9.2.4.5 Europe Government Market by Country
9.2.4.6 Europe Healthcare Market by Country
9.2.4.7 Europe Media & Entertainment Market by Country
9.2.4.8 Europe Other End Use business Market by Country
9.2.5 Europe Big Data as a Service Market by Country
9.2.5.1 Germany Big Data as a Service Market
9.2.5.1.1 Germany Big Data as a Service Market by Deployment
9.2.5.1.2 Germany Big Data as a Service Market by Solution
9.2.5.1.3 Germany Big Data as a Service Market by Enterprise Size
9.2.5.1.4 Germany Big Data as a Service Market by End Use
9.2.5.2 UK Big Data as a Service Market
9.2.5.2.1 UK Big Data as a Service Market by Deployment
9.2.5.2.2 UK Big Data as a Service Market by Solution
9.2.5.2.3 UK Big Data as a Service Market by Enterprise Size
9.2.5.2.4 UK Big Data as a Service Market by End Use
9.2.5.3 France Big Data as a Service Market
9.2.5.3.1 France Big Data as a Service Market by Deployment
9.2.5.3.2 France Big Data as a Service Market by Solution
9.2.5.3.3 France Big Data as a Service Market by Enterprise Size
9.2.5.3.4 France Big Data as a Service Market by End Use
9.2.5.4 Russia Big Data as a Service Market
9.2.5.4.1 Russia Big Data as a Service Market by Deployment
9.2.5.4.2 Russia Big Data as a Service Market by Solution
9.2.5.4.3 Russia Big Data as a Service Market by Enterprise Size
9.2.5.4.4 Russia Big Data as a Service Market by End Use
9.2.5.5 Spain Big Data as a Service Market
9.2.5.5.1 Spain Big Data as a Service Market by Deployment
9.2.5.5.2 Spain Big Data as a Service Market by Solution
9.2.5.5.3 Spain Big Data as a Service Market by Enterprise Size
9.2.5.5.4 Spain Big Data as a Service Market by End Use
9.2.5.6 Italy Big Data as a Service Market
9.2.5.6.1 Italy Big Data as a Service Market by Deployment
9.2.5.6.2 Italy Big Data as a Service Market by Solution
9.2.5.6.3 Italy Big Data as a Service Market by Enterprise Size
9.2.5.6.4 Italy Big Data as a Service Market by End Use
9.2.5.7 Rest of Europe Big Data as a Service Market
9.2.5.7.1 Rest of Europe Big Data as a Service Market by Deployment
9.2.5.7.2 Rest of Europe Big Data as a Service Market by Solution
9.2.5.7.3 Rest of Europe Big Data as a Service Market by Enterprise Size
9.2.5.7.4 Rest of Europe Big Data as a Service Market by End Use
9.3 Asia Pacific Big Data as a Service Market
9.3.1 Asia Pacific Big Data as a Service Market by Deployment
9.3.1.1 Asia Pacific Public Cloud Market by Country
9.3.1.2 Asia Pacific Hybrid Cloud Market by Country
9.3.1.3 Asia Pacific Private Cloud Market by Country
9.3.2 Asia Pacific Big Data as a Service Market by Solution
9.3.2.1 Asia Pacific Data Analytics-as-a-Service Market by Country
9.3.2.2 Asia Pacific Hadoop-as-a-Service Market by Country
9.3.2.3 Asia Pacific Data-as-a-Service Market by Country
9.3.3 Asia Pacific Big Data as a Service Market by Enterprise Size
9.3.3.1 Asia Pacific Large Enterprise Market by Country
9.3.3.2 Asia Pacific Small & Medium-sized business Market by Country
9.3.4 Asia Pacific Big Data as a Service Market by End Use
9.3.4.1 Asia Pacific BFSI Market by Country
9.3.4.2 Asia Pacific IT & Telecommunication Market by Country
9.3.4.3 Asia Pacific Manufacturing Market by Country
9.3.4.4 Asia Pacific Retail Market by Country
9.3.4.5 Asia Pacific Government Market by Country
9.3.4.6 Asia Pacific Healthcare Market by Country
9.3.4.7 Asia Pacific Media & Entertainment Market by Country
9.3.4.8 Asia Pacific Other End Use Market by Country
9.3.5 Asia Pacific Big Data as a Service Market by Country
9.3.5.1 China Big Data as a Service Market
9.3.5.1.1 China Big Data as a Service Market by Deployment
9.3.5.1.2 China Big Data as a Service Market by Solution
9.3.5.1.3 China Big Data as a Service Market by Enterprise Size
9.3.5.1.4 China Big Data as a Service Market by End Use
9.3.5.2 Japan Big Data as a Service Market
9.3.5.2.1 Japan Big Data as a Service Market by Deployment
9.3.5.2.2 Japan Big Data as a Service Market by Solution
9.3.5.2.3 Japan Big Data as a Service Market by Enterprise Size
9.3.5.2.4 Japan Big Data as a Service Market by End Use
9.3.5.3 India Big Data as a Service Market
9.3.5.3.1 India Big Data as a Service Market by Deployment
9.3.5.3.2 India Big Data as a Service Market by Solution
9.3.5.3.3 India Big Data as a Service Market by Enterprise Size
9.3.5.3.4 India Big Data as a Service Market by End Use
9.3.5.4 South Korea Big Data as a Service Market
9.3.5.4.1 South Korea Big Data as a Service Market by Deployment
9.3.5.4.2 South Korea Big Data as a Service Market by Solution
9.3.5.4.3 South Korea Big Data as a Service Market by Enterprise Size
9.3.5.4.4 South Korea Big Data as a Service Market by End Use
9.3.5.5 Singapore Big Data as a Service Market
9.3.5.5.1 Singapore Big Data as a Service Market by Deployment
9.3.5.5.2 Singapore Big Data as a Service Market by Solution
9.3.5.5.3 Singapore Big Data as a Service Market by Enterprise Size
9.3.5.5.4 Singapore Big Data as a Service Market by End Use
9.3.5.6 Malaysia Big Data as a Service Market
9.3.5.6.1 Malaysia Big Data as a Service Market by Deployment
9.3.5.6.2 Malaysia Big Data as a Service Market by Solution
9.3.5.6.3 Malaysia Big Data as a Service Market by Enterprise Size
9.3.5.6.4 Malaysia Big Data as a Service Market by End Use
9.3.5.7 Rest of Asia Pacific Big Data as a Service Market
9.3.5.7.1 Rest of Asia Pacific Big Data as a Service Market by Deployment
9.3.5.7.2 Rest of Asia Pacific Big Data as a Service Market by Solution
9.3.5.7.3 Rest of Asia Pacific Big Data as a Service Market by Enterprise Size
9.3.5.7.4 Rest of Asia Pacific Big Data as a Service Market by End Use
9.4 LAMEA Big Data as a Service Market
9.4.1 LAMEA Big Data as a Service Market by Deployment
9.4.1.1 LAMEA Public Cloud Market by Country
9.4.1.2 LAMEA Hybrid Cloud Market by Country
9.4.1.3 LAMEA Private Cloud Market by Country
9.4.2 LAMEA Big Data as a Service Market by Solution
9.4.2.1 LAMEA Data Analytics-as-a-Service Market by Country
9.4.2.2 LAMEA Hadoop-as-a-Service Market by Country
9.4.2.3 LAMEA Data-as-a-Service Market by Country
9.4.3 LAMEA Big Data as a Service Market by Enterprise Size
9.4.3.1 LAMEA Large Enterprise Market by Country
9.4.3.2 LAMEA Small & Medium-sized business Market by Country
9.4.4 LAMEA Big Data as a Service Market by End Use
9.4.4.1 LAMEA BFSI Market by Country
9.4.4.2 LAMEA IT & Telecommunication Market by Country
9.4.4.3 LAMEA Manufacturing Market by Country
9.4.4.4 LAMEA Retail Market by Country
9.4.4.5 LAMEA Government Market by Country
9.4.4.6 LAMEA Healthcare Market by Country
9.4.4.7 LAMEA Media & Entertainment Market by Country
9.4.4.8 LAMEA Other End Use Market by Country
9.4.5 LAMEA Big Data as a Service Market by Country
9.4.5.1 Brazil Big Data as a Service Market
9.4.5.1.1 Brazil Big Data as a Service Market by Deployment
9.4.5.1.2 Brazil Big Data as a Service Market by Solution
9.4.5.1.3 Brazil Big Data as a Service Market by Enterprise Size
9.4.5.1.4 Brazil Big Data as a Service Market by End Use
9.4.5.2 Argentina Big Data as a Service Market
9.4.5.2.1 Argentina Big Data as a Service Market by Deployment
9.4.5.2.2 Argentina Big Data as a Service Market by Solution
9.4.5.2.3 Argentina Big Data as a Service Market by Enterprise Size
9.4.5.2.4 Argentina Big Data as a Service Market by End Use
9.4.5.3 UAE Big Data as a Service Market
9.4.5.3.1 UAE Big Data as a Service Market by Deployment
9.4.5.3.2 UAE Big Data as a Service Market by Solution
9.4.5.3.3 UAE Big Data as a Service Market by Enterprise Size
9.4.5.3.4 UAE Big Data as a Service Market by End Use
9.4.5.4 Saudi Arabia Big Data as a Service Market
9.4.5.4.1 Saudi Arabia Big Data as a Service Market by Deployment
9.4.5.4.2 Saudi Arabia Big Data as a Service Market by Solution
9.4.5.4.3 Saudi Arabia Big Data as a Service Market by Enterprise Size
9.4.5.4.4 Saudi Arabia Big Data as a Service Market by End Use
9.4.5.5 South Africa Big Data as a Service Market
9.4.5.5.1 South Africa Big Data as a Service Market by Deployment
9.4.5.5.2 South Africa Big Data as a Service Market by Solution
9.4.5.5.3 South Africa Big Data as a Service Market by Enterprise Size
9.4.5.5.4 South Africa Big Data as a Service Market by End Use
9.4.5.6 Nigeria Big Data as a Service Market
9.4.5.6.1 Nigeria Big Data as a Service Market by Deployment
9.4.5.6.2 Nigeria Big Data as a Service Market by Solution
9.4.5.6.3 Nigeria Big Data as a Service Market by Enterprise Size
9.4.5.6.4 Nigeria Big Data as a Service Market by End Use
9.4.5.7 Rest of LAMEA Big Data as a Service Market
9.4.5.7.1 Rest of LAMEA Big Data as a Service Market by Deployment
9.4.5.7.2 Rest of LAMEA Big Data as a Service Market by Solution
9.4.5.7.3 Rest of LAMEA Big Data as a Service Market by Enterprise Size
9.4.5.7.4 Rest of LAMEA Big Data as a Service Market by End Use
Chapter 10. Company Profiles
10.1 Microsoft Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Product Launches and Product Expansions:
10.1.5.3 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 IBM Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Regional & Segmental Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.5.2 Product Launches and Product Expansions:
10.2.6 SWOT Analysis
10.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental Analysis
10.3.4 Recent strategies and developments:
10.3.4.1 Partnerships, Collaborations, and Agreements:
10.3.4.2 Product Launches and Product Expansions:
10.3.5 SWOT Analysis
10.4 Hewlett Packard Enterprise Company
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.5.2 Product Launches and Product Expansions:
10.4.5.3 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 SAP SE
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Partnerships, Collaborations, and Agreements:
10.5.5.2 Product Launches and Product Expansions:
10.5.6 SWOT Analysis
10.6 Oracle Corporation
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Product Launches and Product Expansions:
10.6.6 SWOT Analysis
10.7 Google LLC
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Partnerships, Collaborations, and Agreements:
10.7.6 SWOT Analysis
10.8 Teradata Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 SWOT Analysis
10.9 Dell Technologies, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 SWOT Analysis
10.10. Salesforce, Inc.
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Regional Analysis
10.10.4 Research & Development Expenses
10.10.5 SWOT Analysis
Chapter 11. Winning Imperatives of Big Data as a Service Market

Companies Mentioned

Some of the key companies profiled in this Big Data as a Service Market include:
  • Hewlett Packard Enterprise Company
  • SAP SE
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • Oracle Corporation
  • Google LLC
  • IBM Corporation
  • Teradata Corporation
  • Dell Technologies, Inc.
  • Salesforce, Inc.

Methodology

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