Master Data Management Market Size, Key Master Data Management Market Players, SWOT, Revenue Growth Analysis Forecast 2030

Table of Contents

The Global Master Data Management Market research report added by Emergen Research is an extensive study of the industry and includes a study of several factors that impact the growth of the market. The report is formulated by taking into consideration the government policies, market landscape, technologies, market risks, opportunities, and challenges faced by the market. The report further analyzes historical data, current and future market trends, recent technological developments, key competitors, and regional bifurcation.

The latest report is updated with the impact analysis of the current COVID-19 pandemic on the market. The rapidly changing dynamics of the market and current and future growth potential of the market are covered in the report. The report offers crucial information about the initial and future assessment of the impact of the COVID-19 crisis on the overall market.

The global master data management market size was USD 14.83 Billion in 2021 and is expected to register a revenue CAGR of 15.5% during the forecast period, according to latest analysis by Emergen Research. Rising incorporation of advanced technologies, such as big data and Artificial Intelligence (AI) with Master Data Management (MDM), is driving revenue growth of the market. AI and Machine Learning (ML) are data-hungry processes that are changing the industry. A cloud-based MDM applies AI and ML to automate data stewardship processes and provides actionable insights to business users. As data volume continues to grow, cloud MDM has to leverage AI and ML techniques to make data management process more convenient. For instance, Semarchy offers a master data management solution called xDM, which uses ML algorithms and provides stewardship and advanced matching, survivorship, curation, and classification.

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Furthermore, the report includes an in-depth analysis of the competitive landscape. The segment covers a comprehensive overview of the company profiles along with the product profiles, production capacities, products/services, pricing analysis, profit margins, and manufacturing process developments. The report also covers strategic business measures undertaken by the companies to gain substantial market share.

The major companies studied in the report include:

International Business Machines (IBM) Corporation, Oracle, SAS Institute Inc., TIBCO Software Inc., Mindtree, Informatica, Syndigo LLC., Cloudera, Inc., Broadcom, PiLog Group, Pimcore, and Ataccama

The report provides insightful information about recent mergers and acquisitions, product launches, collaborations, joint ventures, partnerships, agreements, and government deals.

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Along with these details, the report also covers the segmentation of the market based on types, applications, end-user industry, and others. Analysis of each market segment, along with projections up to, is offered in the report. The report includes profitability, gross margins, global demand, sales volume, and growth prospects of each market segment.

The report further discusses in detail the market segmentation based on types and applications:

Component Outlook (Revenue, USD Billion; 2019–2030)
- Services
  1. Consulting
  2. Training & Support
  3. Others
- Solution
  1. Integration
  2. Others

Deployment Outlook (Revenue, USD Billion; 2019–2030)
- On-premises
- Cloud

Organization Size Outlook (Revenue, USD Billion; 2019–2030)
- Large Enterprises
- Small and Medium-Sized Enterprises (SMEs)

Regional Segmentation:

Based on the geographical spread, the Master Data Management industry is segmented into North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The regional analysis of the Master Data Management market provides an insight into the regions expected to hold the largest share in the market. Additionally, the report provides valuable data about distribution, production, consumption patterns, export/import, and demand and supply ratio.

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