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Asia Pacific Data Lake Market Size, Share & Industry Trends Analysis Report By Component (Solution, and Services), By Enterprise Size, By Deployment Type (On-premise, and Cloud), By Vertical, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 153 Pages
  • September 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5903469
The Asia Pacific Data Lake Market would witness market growth of 20.9% CAGR during the forecast period (2023-2030).

The increase in digital payments is increasing banks' transactional data volume. Many banks invest in developing data lakes to enhance their analytical abilities and provide consumers with on-the-go solutions. New Zealand and Australia Banking Group and State Bank of India, among others, have already begun developing data lakes to integrate transactional data across domains and establish a centralized database. Thus, it enables banks to aggregate transactional data from all data pools across domains into a central database that anyone can access in real time.

A data lake is an affordable alternative to data warehousing for several businesses' information accumulation and storage applications. In addition, data warehousing necessitates additional information processing in the initial phases, unlike the data lake. In addition, the technology has lower maintenance costs than data warehousing due to the cost of creating a database and the number of operations in data warehousing. Similarly, the technology improves the analytical capabilities of businesses.

Japan's Ministry of Economy, Trade, and Industry (METI) published its annual eCommerce Market Survey in August 2022, revealing that business-to-consumer (B2C) eCommerce sales of merchandise increased by 8.6% in 2021 compared to the previous year, with the total B2C eCommerce sector estimated to be $188.1 billion. The survey also revealed that Japanese consumers engaged in $3.1 billion of cross-border online shopping from U.S. retailers in 2021, a 9.3% increase from the last year, indicating that Japanese consumers purchase from American and Japanese online stores. The growing e-commerce sector in Japan has indeed contributed to the growth of various technology and data-related industries, including data lakes. Thus, the region’s e-commerce and BFSI industries have experienced significant expansion, driven by multiple factors, which has directly impacted data lake adoption.

The China market dominated the Asia Pacific Data Lake Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $4,001.7 million by 2030. The Japan market is registering a CAGR of 20.1% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 21.6% during (2023 - 2030).

Based on Component, the market is segmented into Solution, and Services. Based on Enterprise Size, the market is segmented into Large Enterprises, Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On-premise, and Cloud. Based on Vertical, the market is segmented into IT, Media & Entertainment, Healthcare, BFSI, Manufacturing, Retail & Ecommerce, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc., Cloudera, Inc., Dremio Corporation, Informatica Inc., Microsoft Corporation, Oracle Corporation, SAS Institute Inc., Snowflake Inc., Teradata Corporation and Zaloni, Inc.

Scope of the Study

Market Segments Covered in the Report:

By Component
  • Solution
  • Services
By Enterprise Size
  • Large Enterprises
  • Small & Medium Enterprises
By Deployment Type
  • On-premise
  • Cloud
By Vertical
  • IT
  • Media & Entertainment
  • Healthcare
  • BFSI
  • Manufacturing
  • Retail & Ecommerce
  • Others
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:


  • Amazon Web Services, Inc
  • Cloudera, Inc.
  • Dremio Corporation
  • Informatica Inc.
  • Microsoft Corporation
  • Oracle Corporation
  • SAS Institute Inc.
  • Snowflake Inc.
  • Teradata Corporation
  • Zaloni, Inc.

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

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 Data Lake Market, by Component
1.4.2 Asia Pacific Data Lake Market, by Enterprise Size
1.4.3 Asia Pacific Data Lake Market, by Deployment Type
1.4.4 Asia Pacific Data Lake Market, by Vertical
1.4.5 Asia Pacific Data Lake 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
Chapter 4. Competition Analysis - Global
4.1 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 Top Winning Strategies
4.3.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2021, Oct - 2023, Sep) Leading Players
4.4 Porter Five Forces Analysis
Chapter 5. Asia Pacific Data Lake Market, By Component
5.1 Asia Pacific Solution Market, By Country
5.2 Asia Pacific Services Market, By Country
Chapter 6. Asia Pacific Data Lake Market, By Enterprise Size
6.1 Asia Pacific Large Enterprises Market, By Country
6.2 Asia Pacific Small & Medium Enterprises Market, By Country
Chapter 7. Asia Pacific Data Lake Market, By Deployment Type
7.1 Asia Pacific On-premise Market, By Country
7.2 Asia Pacific Cloud Market, By Country
Chapter 8. Asia Pacific Data Lake Market, By Vertical
8.1 Asia Pacific IT Market, By Country
8.2 Asia Pacific Media & Entertainment Market, By Country
8.3 Asia Pacific Healthcare Market, By Country
8.4 Asia Pacific BFSI Market, By Country
8.5 Asia Pacific Manufacturing Market, By Country
8.6 Asia Pacific Retail & Ecommerce Market, By Country
8.7 Asia Pacific Others Market, By Country
Chapter 9. Asia Pacific Data Lake Market, By Country
9.1 China Data Lake Market
9.1.1 China Data Lake Market, By Component
9.1.2 China Data Lake Market, By Enterprise Size
9.1.3 China Data Lake Market, By Deployment Type
9.1.4 China Data Lake Market, By Vertical
9.2 Japan Data Lake Market
9.2.1 Japan Data Lake Market, By Component
9.2.2 Japan Data Lake Market, By Enterprise Size
9.2.3 Japan Data Lake Market, By Deployment Type
9.2.4 Japan Data Lake Market, By Vertical
9.3 India Data Lake Market
9.3.1 India Data Lake Market, By Component
9.3.2 India Data Lake Market, By Enterprise Size
9.3.3 India Data Lake Market, By Deployment Type
9.3.4 India Data Lake Market, By Vertical
9.4 South Korea Data Lake Market
9.4.1 South Korea Data Lake Market, By Component
9.4.2 South Korea Data Lake Market, By Enterprise Size
9.4.3 South Korea Data Lake Market, By Deployment Type
9.4.4 South Korea Data Lake Market, By Vertical
9.5 Singapore Data Lake Market
9.5.1 Singapore Data Lake Market, By Component
9.5.2 Singapore Data Lake Market, By Enterprise Size
9.5.3 Singapore Data Lake Market, By Deployment Type
9.5.4 Singapore Data Lake Market, By Vertical
9.6 Malaysia Data Lake Market
9.6.1 Malaysia Data Lake Market, By Component
9.6.2 Malaysia Data Lake Market, By Enterprise Size
9.6.3 Malaysia Data Lake Market, By Deployment Type
9.6.4 Malaysia Data Lake Market, By Vertical
9.7 Rest of Asia Pacific Data Lake Market
9.7.1 Rest of Asia Pacific Data Lake Market, By Component
9.7.2 Rest of Asia Pacific Data Lake Market, By Enterprise Size
9.7.3 Rest of Asia Pacific Data Lake Market, By Deployment Type
9.7.4 Rest of Asia Pacific Data Lake Market, By Vertical
Chapter 10. Company Profiles
10.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental Analysis
10.1.4 Recent strategies and developments:
10.1.4.1 Product Launches and Product Expansions:
10.1.5 SWOT Analysis
10.2 Dremio Corporation
10.2.1 Company Overview
10.2.2 Recent strategies and developments:
10.2.2.1 Partnerships, Collaborations, and Agreements:
10.2.2.2 Product Launches and Product Expansions:
10.2.3 SWOT Analysis
10.3 Cloudera, Inc.
10.3.1 Company Overview
10.3.2 Recent strategies and developments:
10.3.2.1 Partnerships, Collaborations, and Agreements:
10.3.2.2 Product Launches and Product Expansions:
10.3.3 SWOT Analysis
10.4 Informatica Inc.
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.5.2 Product Launches and Product Expansions:
10.4.6 SWOT Analysis
10.5 Microsoft Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 Recent strategies and developments:
10.5.5.1 Product Launches and Product Expansions:
10.5.5.2 Acquisition and Mergers:
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 SAS Institute, Inc.
10.7.1 Company Overview
10.7.2 SWOT Analysis
10.8 Snowflake, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments:
10.8.5.1 Partnerships, Collaborations, and Agreements:
10.8.5.2 Product Launches and Product Expansions:
10.8.6 SWOT Analysis
10.9 Teradata Corporation
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental & Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments:
10.9.5.1 Product Launches and Product Expansions:
10.9.6 SWOT Analysis
10.10. Zaloni, Inc (Truist Financial Corporation)
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 SWOT Analysis

Companies Mentioned

  • Amazon Web Services, Inc
  • Cloudera, Inc.
  • Dremio Corporation
  • Informatica Inc.
  • Microsoft Corporation
  • Oracle Corporation
  • SAS Institute Inc.
  • Snowflake Inc.
  • Teradata Corporation
  • Zaloni, Inc.

Methodology

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