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Asia-Pacific Data Classification Market Size, Share & Trends Analysis Report by Component, Application, Classification, Vertical, Country and Growth Forecast, 2024-2031

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    Report

  • 131 Pages
  • September 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6014272
The Asia Pacific Data Classification Market is expected to witness market growth of 35.0% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific Data Classification Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $1.01 billion by 2031. The Japan market is registering a CAGR of 34.2% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 35.9% during 2024-2031.



The adoption of these solutions is increasing as organizations recognize the critical need for effective data management and security in an evolving digital landscape. These solutions enhance operational efficiency by automating data organization, retrieval, and management processes. This reduces the time and effort required to manage data manually, leading to more streamlined operations. By categorizing data according to its importance and utilization, classification enables organizations to allocate resources more effectively and reduce unnecessary expenditures, optimizing storage costs.

Growing concerns about data privacy have driven organizations to adopt these solutions to protect personal and sensitive information. Classification ensures that data is handled according to privacy policies and regulatory requirements. These solutions increasingly incorporate features for data masking and anonymization, which help protect sensitive data while enabling its use for analysis and business processes.

With the expansion of the BFSI sector in India, there is a heightened focus on data security due to increasing cyber threats. To safeguard sensitive financial information and guarantee compliance with security regulations, these solutions are indispensable in India. The BFSI sector in India must comply with stringent data protection regulations, such as the Reserve Bank of India (RBI) guidelines and the Information Technology Act. In addition, the expansion of China’s telecom sector supports the proliferation of IoT devices, generating large volumes of data.

Data classification is essential in China for managing and securing data generated by IoT devices connected through telecom networks. Emerging sectors such as big data, cloud computing, and the Internet of Things continued to post strong performances, with total revenue climbing 19.1% year on year in 2023. In conclusion, the expansion of the BFSI sector and the increasing telecom industry in the region are driving the market's growth.

List of Key Companies Profiled

  • IBM Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC (Alphabet Inc.)
  • Microsoft Corporation
  • Fortra, LLC (HGGC)
  • Open Text Corporation
  • Forcepoint LLC (Francisco Partners)
  • Netwrix Corporation
  • Spirion, LLC
  • Varonis Systems, Inc.

Market Report Segmentation

By Component

  • Solution
  • Services

By Application

  • GRC
  • Centralized Management
  • Web, Mobile and Email Protection
  • Access Control

By Classification

  • User-Based Classification
  • Content-Based Classification
  • Context-Based Classification

By Vertical

  • BFSI
  • Defense and Government
  • Healthcare and Life Sciences
  • Telecom
  • Education
  • Media and Entertainment
  • Other Vertical

By Country

  • China
  • Japan
  • India
  • South Korea
  • Australia
  • 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 Data Classification Market, by Component
1.4.2 Asia Pacific Data Classification Market, by Application
1.4.3 Asia Pacific Data Classification Market, by Classification
1.4.4 Asia Pacific Data Classification Market, by Vertical
1.4.5 Asia Pacific Data Classification 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 The 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)
4.5 Porter Five Forces Analysis
Chapter 5. Asia Pacific Data Classification Market by Component
5.1 Asia Pacific Solution Market by Country
5.2 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific Data Classification Market by Application
6.1 Asia Pacific GRC Market by Country
6.2 Asia Pacific Centralized Management Market by Country
6.3 Asia Pacific Web, Mobile & Email Protection Market by Country
6.4 Asia Pacific Access Control Market by Country
Chapter 7. Asia Pacific Data Classification Market by Classification
7.1 Asia Pacific User-Based Classification Market by Country
7.2 Asia Pacific Content-Based Classification Market by Country
7.3 Asia Pacific Context-Based Classification Market by Country
Chapter 8. Asia Pacific Data Classification Market by Vertical
8.1 Asia Pacific BFSI Market by Country
8.2 Asia Pacific Defense & Government Market by Country
8.3 Asia Pacific Healthcare & Life Sciences Market by Country
8.4 Asia Pacific Telecom Market by Country
8.5 Asia Pacific Education Market by Country
8.6 Asia Pacific Media & Entertainment Market by Country
8.7 Asia Pacific Other Vertical Market by Country
Chapter 9. Asia Pacific Data Classification Market by Country
9.1 China Data Classification Market
9.1.1 China Data Classification Market by Component
9.1.2 China Data Classification Market by Application
9.1.3 China Data Classification Market by Classification
9.1.4 China Data Classification Market by Vertical
9.2 Japan Data Classification Market
9.2.1 Japan Data Classification Market by Component
9.2.2 Japan Data Classification Market by Application
9.2.3 Japan Data Classification Market by Classification
9.2.4 Japan Data Classification Market by Vertical
9.3 India Data Classification Market
9.3.1 India Data Classification Market by Component
9.3.2 India Data Classification Market by Application
9.3.3 India Data Classification Market by Classification
9.3.4 India Data Classification Market by Vertical
9.4 South Korea Data Classification Market
9.4.1 South Korea Data Classification Market by Component
9.4.2 South Korea Data Classification Market by Application
9.4.3 South Korea Data Classification Market by Classification
9.4.4 South Korea Data Classification Market by Vertical
9.5 Australia Data Classification Market
9.5.1 Australia Data Classification Market by Component
9.5.2 Australia Data Classification Market by Application
9.5.3 Australia Data Classification Market by Classification
9.5.4 Australia Data Classification Market by Vertical
9.6 Malaysia Data Classification Market
9.6.1 Malaysia Data Classification Market by Component
9.6.2 Malaysia Data Classification Market by Application
9.6.3 Malaysia Data Classification Market by Classification
9.6.4 Malaysia Data Classification Market by Vertical
9.7 Rest of Asia Pacific Data Classification Market
9.7.1 Rest of Asia Pacific Data Classification Market by Component
9.7.2 Rest of Asia Pacific Data Classification Market by Application
9.7.3 Rest of Asia Pacific Data Classification Market by Classification
9.7.4 Rest of Asia Pacific Data Classification 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 Partnerships, Collaborations, and Agreements
10.1.5 SWOT Analysis
10.2 Google LLC (Alphabet Inc.)
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Recent Strategies and Developments
10.2.5.1 Product Launches and Product Expansions
10.2.6 SWOT Analysis
10.3 Microsoft Corporation
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent Strategies and Developments
10.3.5.1 Product Launches and Product Expansions
10.3.6 SWOT Analysis
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional & Segmental 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 Acquisition and Mergers
10.4.6 SWOT Analysis
10.5 Fortra, LLC. (HGGC)
10.5.1 Company Overview
10.5.2 Recent Strategies and Developments
10.5.2.1 Acquisition and Mergers
10.6 Open Text Corporation
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 SWOT Analysis
10.7 Forcepoint LLC (Francisco Partners)
10.7.1 Company Overview
10.7.2 Recent Strategies and Developments
10.7.2.1 Acquisition and Mergers
10.7.3 SWOT Analysis
10.8 Netwrix Corporation
10.8.1 Company Overview
10.9 Spirion, LLC
10.9.1 Company Overview
10.9.2 Recent Strategies and Developments
10.9.2.1 Product Launches and Product Expansions
10.10. Varonis Systems, Inc.
10.10.1 Company Overview

Companies Mentioned

Some of the key companies profiled in this Asia-Pacific Data Classification market report include:
  • IBM Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC (Alphabet Inc.)
  • Microsoft Corporation
  • Fortra, LLC (HGGC)
  • Open Text Corporation
  • Forcepoint LLC (Francisco Partners)
  • Netwrix Corporation
  • Spirion, LLC
  • Varonis Systems, Inc.

Methodology

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