Asia Pacific Artificial Intelligence (AI) Data Management Market (2023-2028)

RESEARCH METHODOLOGY

The research study for the AI data management market involved extensive secondary sources, directories, and several journals. Primary sources were mainly industry experts from the core and related industries, preferred AI data management software providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering AI data management platforms, software tools and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendor websites. Additionally, AI data management spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to platforms, software/tools, services, deployment mode, data type, technology, applications, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and AI data management expertise; related key executives from AI data management solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using AI data management, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of AI data management solutions and services, which would impact the overall AI data management market

The following is the breakup of primary profiles:

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Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the AI data management market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.

Market Size Estimation Methodology-Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering platform, software tools and services in the AI data management market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of platform, software/tools and services, deployment mode, data type, technology, applications, verticals, and regions. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of AI data management platform, software tools and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of AI data management solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the AI data management market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major AI data management solution providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall AI data management market size and segments’ size were determined and confirmed using the study.

Top-down and Bottom-up approaches

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Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

According to IBM, Data management systems and AI are synergistic. When AI becomes embedded within and throughout the data management system, it has the potential to improve database query accuracy and performance, and to optimize system resources.

According to HPE, AI Data Management involves strategically and methodically managing an organization's data assets using AI technology to improve data quality, analysis, and decision-making. It includes all the procedures, guidelines, and technical methods employed to collect, organize, store, and utilize data efficiently.

Stakeholders

• AI data management software vendors
• Managed service providers
• Support and maintenance service providers
• System Integrators (SIs)/migration service providers
• Value-added resellers (VARs) and distributors
• Distributors and value-added resellers (VARs)
• System integrators (SIs)
• Independent software vendors (ISV)
• Third-party providers
• Technology providers

Report Objectives

• To define, describe, and predict the AI data management market by offering type (platform, software tools and services) offering by deployment mode, data type, technology, application, vertical, and region
• To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
• To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
• To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
• To profile key players and comprehensively analyze their market rankings and core competencies
• To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the AI data management market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

• Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis as per Feasibility

• Further breakup of the North American AI data management Market
• Further breakup of the European Market
• Further breakup of the Asia Pacific Market
• Further breakup of the Middle East & Africa Market
• Further breakup of the Latin American Market

Company Information

• Detailed analysis and profiling of additional market players (up to five)