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Asia Pacific Data Discovery Market Size, Share & Industry Trends Analysis Report By Offering (Solutions, and Services), By Deployment (On-premises, and Cloud), By Application, By End-use, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 144 Pages
  • December 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5922612
The Asia Pacific Data Discovery Market would witness market growth of 16.1 % CAGR during the forecast period (2023-2030).

Integrating Natural Language Processing (NLP) in data discovery tools is gaining prominence. NLP enables users to interact with data using natural language queries, making the analysis process more intuitive and accessible. Users can ask queries in plain language, and the tools will react with relevant visualizations and insights. This trend adds to data analytics democratizing by allowing a greater range of individuals to interact with and extract insights from data. Cloud-based data discovery solutions offer scalability, flexibility, and accessibility, allowing organizations to efficiently manage and analyse vast datasets without needing extensive on-premises infrastructure. This trend aligns with the broader industry movement towards cloud adoption, enabling businesses to leverage the benefits of it in a more agile and cost-effective manner. The increasing use of AI and machine learning in data discovery has raised awareness of Explainable AI (XAI). Organizations seek transparency in AI models to understand how algorithms arrive at specific conclusions. XAI in its tools gives users insights into the logic and reasoning behind AI-generated recommendations, enhancing trust and facilitating more informed decision-making.

The DataOps methodology is gaining traction in data discovery. DataOps emphasizes collaboration and communication between engineers, scientists, and stakeholders to streamline the end-to-end data lifecycle. Agile data management practices, inspired by agile software development, are being applied to enhance the agility and efficiency of data-related processes, including data discovery. Continuous intelligence involves real-time streaming data analysis to provide insights and enable immediate action. In the market, there is a growing demand for solutions that support continuous intelligence, allowing organizations to make data-driven decisions in near real-time. This trend is particularly relevant in finance, healthcare, and IoT industries, where timely insights are critical.

Adopting Electronic Health Records (HER) systems in India is a key driver for data discovery. Healthcare providers in India generate significant data on patient vitals, health trends, and treatment adherence due to the growth of telemedicine and remote patient monitoring technologies. The tools help analyze remote monitoring data for proactive healthcare management. IoT devices and wearables in healthcare provide real-time patient data in India. As per Invest India, India's healthcare industry is expanding at a rapid rate due to its expanding coverage, services, and rising expenditures by both public and private players. In FY17, the hospital industry in India was worth $ 61.79 billion, and it is projected to reach $ 132 billion by 2023. Telemedicine is the eHealth industry with the greatest growth potential in India, with a projected value of $5.40 billion by 2025. Due to these aspects, the market will expand across the Asia Pacific region in upcoming years.

The China market dominated the Asia Pacific Data Discovery Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,087.9 million by 2030. The Japan market is exhibiting a CAGR of 15.4% during (2023 - 2030). Additionally, The India market would experience a CAGR of 16.9% during (2023 - 2030).

Based on Offering, the market is segmented into Solutions, and Services. Based on Deployment, the market is segmented into On-premises, and Cloud. Based on Application, the market is segmented into Security Risk Management, Asset Management, Sales Marketing Management, Supply Chain Management, and Others. Based on End-use, the market is segmented into BFSI, Retail E-commerce, Media Entertainment, IT Telecommunication, Government, Healthcare Lifesciences, Transportation Logistics, 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 stakeholders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Oracle Corporation, Salesforce, Inc., SAS Institute Inc., Google LLC (Alphabet Inc.), Amazon Web Services, Inc. (Amazon.Com, Inc.), Open Text Corporation, MicroStrategy, Inc. and Cloudera, Inc.

Scope of the Study

Market Segments Covered in the Report:

By Offering

  • Solutions
  • Services

By Deployment

  • On-premise
  • Cloud

By Application

  • Security Risk Management
  • Asset Management
  • Sales Marketing Management
  • Supply Chain Management
  • Others

By End-use

  • BFSI
  • Retail E-commerce
  • Media Entertainment
  • IT Telecommunication
  • Government
  • Healthcare Lifesciences
  • Transportation Logistics
  • Others

By Country

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

Key Market Players

List of Companies Profiled in the Report:

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Salesforce, Inc.
  • SAS Institute Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.Com, Inc.)
  • Open Text Corporation
  • MicroStrategy, Inc.
  • Cloudera, 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 Discovery Market, by Offering
1.4.2 Asia Pacific Data Discovery Market, by Deployment
1.4.3 Asia Pacific Data Discovery Market, by Application
1.4.4 Asia Pacific Data Discovery Market, by End-use
1.4.5 Asia Pacific Data Discovery 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 Market Share Analysis, 2022
4.2 Porter Five Forces Analysis
Chapter 5. Asia Pacific Data Discovery Market by Offering
5.1 Asia Pacific Solutions Market by Country
5.2 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific Data Discovery Market by Deployment
6.1 Asia Pacific On-premise Market by Country
6.2 Asia Pacific Cloud Market by Country
Chapter 7. Asia Pacific Data Discovery Market by Application
7.1 Asia Pacific Security & Risk Management Market by Country
7.2 Asia Pacific Asset Management Market by Country
7.3 Asia Pacific Sales & Marketing Management Market by Country
7.4 Asia Pacific Supply Chain Management Market by Country
7.5 Asia Pacific Others Market by Country
Chapter 8. Asia Pacific Data Discovery Market by End-use
8.1 Asia Pacific BFSI Market by Country
8.2 Asia Pacific Retail & E-commerce Market by Country
8.3 Asia Pacific Media & Entertainment Market by Country
8.4 Asia Pacific IT & Telecommunication Market by Country
8.5 Asia Pacific Government Market by Country
8.6 Asia Pacific Healthcare & Lifesciences Market by Country
8.7 Asia Pacific Transportation & Logistics Market by Country
8.8 Asia Pacific Others Market by Country
Chapter 9. Asia Pacific Data Discovery Market by Country
9.1 China Data Discovery Market
9.1.1 China Data Discovery Market by Offering
9.1.2 China Data Discovery Market by Deployment
9.1.3 China Data Discovery Market by Application
9.1.4 China Data Discovery Market by End-use
9.2 Japan Data Discovery Market
9.2.1 Japan Data Discovery Market by Offering
9.2.2 Japan Data Discovery Market by Deployment
9.2.3 Japan Data Discovery Market by Application
9.2.4 Japan Data Discovery Market by End-use
9.3 India Data Discovery Market
9.3.1 India Data Discovery Market by Offering
9.3.2 India Data Discovery Market by Deployment
9.3.3 India Data Discovery Market by Application
9.3.4 India Data Discovery Market by End-use
9.4 South Korea Data Discovery Market
9.4.1 South Korea Data Discovery Market by Offering
9.4.2 South Korea Data Discovery Market by Deployment
9.4.3 South Korea Data Discovery Market by Application
9.4.4 South Korea Data Discovery Market by End-use
9.5 Singapore Data Discovery Market
9.5.1 Singapore Data Discovery Market by Offering
9.5.2 Singapore Data Discovery Market by Deployment
9.5.3 Singapore Data Discovery Market by Application
9.5.4 Singapore Data Discovery Market by End-use
9.6 Malaysia Data Discovery Market
9.6.1 Malaysia Data Discovery Market by Offering
9.6.2 Malaysia Data Discovery Market by Deployment
9.6.3 Malaysia Data Discovery Market by Application
9.6.4 Malaysia Data Discovery Market by End-use
9.7 Rest of Asia Pacific Data Discovery Market
9.7.1 Rest of Asia Pacific Data Discovery Market by Offering
9.7.2 Rest of Asia Pacific Data Discovery Market by Deployment
9.7.3 Rest of Asia Pacific Data Discovery Market by Application
9.7.4 Rest of Asia Pacific Data Discovery Market by End-use
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional & Segmental 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 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Oracle Corporation
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 SWOT Analysis
10.4 Salesforce, Inc.
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional Analysis
10.4.4 Research & Development Expense
10.4.5 SWOT Analysis
10.5 SAS Institute, Inc.
10.5.1 Company Overview
10.5.2 SWOT Analysis
10.6 Google LLC (Alphabet Inc.)
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 Partnerships, Collaborations, and Agreements:
10.6.6 SWOT Analysis
10.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental Analysis
10.7.4 SWOT Analysis
10.8 Open Text Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 SWOT Analysis
10.9 MicroStrategy, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional Analysis
10.9.4 Research & Development Expenses
10.9.5 SWOT Analysis
10.10. Cloudera, Inc.
10.10.1 Company Overview
10.10.2 SWOT Analysis

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Salesforce, Inc.
  • SAS Institute Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.Com, Inc.)
  • Open Text Corporation
  • MicroStrategy, Inc.
  • Cloudera, Inc.

Methodology

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