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Asia-Pacific 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 Country and Growth Forecast, 2024 - 2031

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    Report

  • 164 Pages
  • October 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6020519
The Asia Pacific Big Data as a Service Market is expected to witness market growth of 20.1% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific Big Data as a Service Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $8.49 billion by 2031. The Japan market is registering a CAGR of 19.3% during 2024-2031. Additionally, the India market is expected to obtain a CAGR of 21% during 2024-2031.



Energy providers can use BDaaS to forecast energy demand and analyze historical consumption data, weather patterns, and economic indicators. This forecasting enables more efficient energy production and distribution, ensuring stability in supply. BDaaS supports smart grid data management, allowing energy companies to analyze usage patterns and optimize energy distribution in real time. This application enhances energy efficiency and facilitates the integration of renewable energy sources.

Law enforcement agencies use BDaaS to analyze crime data and social factors to predict and prevent criminal activities. This application supports resource allocation and helps develop community-focused policing strategies. Governments can analyze citizen feedback from various platforms, such as social media and surveys, to understand public sentiment and improve services. BDaaS enables collecting and analyzing diverse data sources to inform policy decisions.

India's BFSI sector has undergone significant transformation and growth, establishing itself as one of the world's most robust and dynamic markets. This sector's expansion is a major driver for the growth of the big data as a service market in India. India's banking sector has demonstrated remarkable stability and growth over the past few years. The population with bank accounts increased from 53% in FY 2016 to 78% in FY 2021. This expansion has led to a substantial increase in the volume of financial transactions and customer data, necessitating advanced data analytics solutions to manage and leverage this data efficiently. The extensive network of over 1.6 lakh bank branches and 2.17 lakh ATMs, with a significant presence in rural and semi-urban areas, generates vast amounts of data that require sophisticated analytics tools provided by BDaaS.

Also, the BFSI sector's reliance on data-driven decision-making is increasing. Banks and financial institutions leverage big data analytics to gain insights into customer behaviour, optimize operations, detect fraud, and ensure regulatory compliance. BDaaS provides the necessary infrastructure and tools to handle large datasets, perform complex analyses, and derive actionable insights. This capability is crucial for the BFSI sector to improve efficiency, reduce risks, and enhance customer satisfaction.

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 Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

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 Asia Pacific Big Data as a Service Market, by Deployment
1.4.2 Asia Pacific Big Data as a Service Market, by Solution
1.4.3 Asia Pacific Big Data as a Service Market, by Enterprise Size
1.4.4 Asia Pacific Big Data as a Service Market, by End Use
1.4.5 Asia Pacific Big Data as a Service Market, by Country
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. Asia Pacific Big Data as a Service Market by Deployment
5.1 Asia Pacific Public Cloud Market by Country
5.2 Asia Pacific Hybrid Cloud Market by Country
5.3 Asia Pacific Private Cloud Market by Country
Chapter 6. Asia Pacific Big Data as a Service Market by Solution
6.1 Asia Pacific Data Analytics-as-a-Service Market by Country
6.2 Asia Pacific Hadoop-as-a-Service Market by Country
6.3 Asia Pacific Data-as-a-Service Market by Country
Chapter 7. Asia Pacific Big Data as a Service Market by Enterprise Size
7.1 Asia Pacific Large Enterprise Market by Country
7.2 Asia Pacific Small & Medium-sized business Market by Country
Chapter 8. Asia Pacific Big Data as a Service Market by End Use
8.1 Asia Pacific BFSI Market by Country
8.2 Asia Pacific IT & Telecommunication Market by Country
8.3 Asia Pacific Manufacturing Market by Country
8.4 Asia Pacific Retail Market by Country
8.5 Asia Pacific Government Market by Country
8.6 Asia Pacific Healthcare Market by Country
8.7 Asia Pacific Media & Entertainment Market by Country
8.8 Asia Pacific Other End Use Market by Country
Chapter 9. Asia Pacific Big Data as a Service Market by Country
9.1 China Big Data as a Service Market
9.1.1 China Big Data as a Service Market by Deployment
9.1.2 China Big Data as a Service Market by Solution
9.1.3 China Big Data as a Service Market by Enterprise Size
9.1.4 China Big Data as a Service Market by End Use
9.2 Japan Big Data as a Service Market
9.2.1 Japan Big Data as a Service Market by Deployment
9.2.2 Japan Big Data as a Service Market by Solution
9.2.3 Japan Big Data as a Service Market by Enterprise Size
9.2.4 Japan Big Data as a Service Market by End Use
9.3 India Big Data as a Service Market
9.3.1 India Big Data as a Service Market by Deployment
9.3.2 India Big Data as a Service Market by Solution
9.3.3 India Big Data as a Service Market by Enterprise Size
9.3.4 India Big Data as a Service Market by End Use
9.4 South Korea Big Data as a Service Market
9.4.1 South Korea Big Data as a Service Market by Deployment
9.4.2 South Korea Big Data as a Service Market by Solution
9.4.3 South Korea Big Data as a Service Market by Enterprise Size
9.4.4 South Korea Big Data as a Service Market by End Use
9.5 Singapore Big Data as a Service Market
9.5.1 Singapore Big Data as a Service Market by Deployment
9.5.2 Singapore Big Data as a Service Market by Solution
9.5.3 Singapore Big Data as a Service Market by Enterprise Size
9.5.4 Singapore Big Data as a Service Market by End Use
9.6 Malaysia Big Data as a Service Market
9.6.1 Malaysia Big Data as a Service Market by Deployment
9.6.2 Malaysia Big Data as a Service Market by Solution
9.6.3 Malaysia Big Data as a Service Market by Enterprise Size
9.6.4 Malaysia Big Data as a Service Market by End Use
9.7 Rest of Asia Pacific Big Data as a Service Market
9.7.1 Rest of Asia Pacific Big Data as a Service Market by Deployment
9.7.2 Rest of Asia Pacific Big Data as a Service Market by Solution
9.7.3 Rest of Asia Pacific Big Data as a Service Market by Enterprise Size
9.7.4 Rest of Asia Pacific 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

Companies Mentioned

Some of the key companies profiled in this Asia Pacific 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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