Report Code: CMI20422

Published Date: November 2022

Pages: 220+

Category: Technology

Report Snapshot

CAGR: 18.2%
5.55B
2021
7.55B
2022
23.8B
2030

Source: CMI

Study Period: 2024-2033
Fastest Growing Market: Asia-Pacific
Largest Market: Europe

Major Players

  • IBM Corporation
  • Tibco Software Inc
  • Oracle Corporation
  • Teradata Corporation
  • Riversand
  • SAS Institute
  • Others

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Reports Description

According to Custom Market Insights (CMI), The Global Master Data Management Market size was estimated at USD 5.55 Billion in 2021 and is expected to reach USD 7.55 Billion in 2022 and is expected to hit around USD 23.8 Billion by 2030, poised to grow at a compound annual growth rate (CAGR) of 18.2% from 2022 to 2030.

Our recently published report, “Master Data Management Market”, offers a comprehensive and deep evaluation of the market stature. Also, the market report estimates the market size, revenue, price, market share, market forecast, growth rate, and competitive analysis.

Master Data Management Market: Overview

Master data management (MDM) is the expertise and/or technology that gives a reliable perspective of a company’s information and renders that data easily accessible to other business operations. The primary component of MDM is master data; master data is indeed an organization’s critical business data, which includes product, supplier, and client information. Master data management solutions aid in the accuracy and governance of a company’s data across business applications such as enterprise resource planning (ERP), customer relationship management (CRM), product lifecycle management (PLM), enterprise performance management (EPM), others.

With the advent of MDM, businesses can now collect and manage master data and use it for data analytics and intelligent decision-making. MDM improves organizational and operational efficiency as well as decision-making skills. MDM makes it simple to use data for various corporate processes to enhance operational and business performance and provide better customer service. MDM cloud adoption reduces ownership costs while increasing enterprises’ data storage capacities. Cloud-based MDM is used by organizations because it is easier to implement, delivers agility, and has more flexibility than on-premises solutions at a lower cost. These reasons contribute to the rise of cloud-based MDM systems.

Master Data Management Market: COVID–19 Impact Analysis

The COVID-19 pandemic has significantly impacted every industry, particularly the IT industry, with the hardware industry suffering the most. The sector saw a considerable slowdown in the manufacture and delivery of hardware components due to the worldwide country-by-country shutdown. In addition, the software and service industries also experienced a significant downturn for a brief while. However, the use of cloud-based technology, collaborative apps, security solutions, big data, and artificial intelligence (AI) aided the IT sector during and after the shutdown.

The pandemic has impacted the master data management business since quarantine, and other COVID-related procedures were implemented, slowing market growth. With the controls lifted, the market is returning to its pre-COVID state. Organizations collaborated with companies to develop intelligent quarantine solutions to limit the risk of COVID-19 and the risk of the virus spreading in the workplace. In addition, several master data management software vendors have established work-from-home resource centres and integrated work-from-home modules into their current master data management systems, accelerating the expansion of the work-from-home culture. In response to COVID-19, for instance, NICE introduced a work-from-home module for its staff to assist them in coping with rising contact volumes and reduce query response time.

Master Data Management Market: Growth Drivers

Increasing usage of data management tools

Massive amounts of data created throughout an organization are channelled through master data management systems and services, allowing data to be stored in a single location while ensuring data security. Increased data churning necessitates advanced data quality systems to promote operational excellence.

The first step in implementing MDM, a powerful tool that allows organizations to follow the phases of information flow and audit data transformation, is to improve data quality. MDM systems automatically update records and remove inaccurate data, while data quality technology ensures data correctness. This has enabled enterprises to employ both MDM systems and data quality technology. Data integrity is crucial for firms in the financial services industry.

In Northern Europe, IT users consider master data and quality management critical parts of the business. Data quality technologies help in the reduction of data duplication and rework, as well as the preservation of valid data records. Data consolidation is becoming increasingly crucial for businesses that recognize the importance of data quality. This aspect drives the master data management market forward by increasing demand for MDM solutions.

Introduction of advanced technologies with MDM solutions

Artificial intelligence (AI), big data, and machine learning (ML) drive the MDM industry forward. This technology enables new technological possibilities for data storage and processing, as well as the availability of massive datasets. Customers’ requirements are becoming more diverse as new technologies’ capabilities in administering multi-domain and multi-faceted data have increased.

The most popular request has been for MDM systems to be integrated with technologies like Big Data, analytics, and business intelligence. Duplicate records are discovered, and data quality is ensured, addressing two typical master data problems. It also checks documents based on information from sources other than the master data administration application, such as data information, CAD data, and transaction history. Machine learning is increasingly being used in MDM, allowing new data to be examined while depending on prior data transfers.

Organizations may use missing knowledge to find patterns in data, as well as potential links and correlations, and accelerate data integration from a source to a client. With the aid of these technologies, businesses may connect the origins of eCRM, customization, social commerce, and offline operations, resulting in a single data source for all channels. Furthermore, innovative players such as Amazon, Google, and Facebook are merging MDM with other current technologies to provide complete, reliable, and accurate information throughout all channels to speed development without causing any harm to their brands.

Global Master Data Management Market 2023–2032 (By Deployment Model)

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Master Data Management Market: Segmentation Analysis

The master data management market is segmented into the organization type, deployment model and end user. Based on organization type, the demand for large enterprise segments is estimated to lead the market during the forecast period. Large enterprises are the prime customers who use MDM solutions to process the data, analyze and take decisions according to the analysis. The MDM also eradicates false and inaccurate data, which helps to bring in more clarity and reduces confusion.

By deployment model, the cloud-based segment is anticipated to dominate the market during the forecast period. Cloud-based data offers the addition and exclusion of data through web services controlled completely by operating from remote areas. The growing popularity of cloud-based databases encourages SMEs to adopt and shift to cloud-based databases as it will help increase efficiency.

By end user, the BFSI segment is anticipated to dominate the market during the forecast period. Over the past ten years, there has been markedly increased growth of BFSI. The use of MDM solutions is highest in the BFSI sector. The need for accuracy and constant data analysis to achieve the desired results has increased the popularity of MDM in the BFSI sector. 

Report Scope

Feature of the Report Details
Market Size in 2021 USD 5.55 Billion
Projected Market Size in 2030 USD 23.8 Billion
Market Size in 2022 USD 7.55 Billion
CAGR Growth Rate 18.2% CAGR (2022-2030)
Base Year 2023
Forecast Period 2024-2033
Prominent Players IBM Corporation, Tibco Software Inc, Oracle Corporation , Teradata Corporation, Riversand, SAS Institute, Informatica, Talend, Stibo System, SAP, and Others
Key Segment By Organization Type, Deployment Model, End User, and Region
Report Coverage Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends
Regional Scope North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America
Buying Options Request tailored purchasing options to fulfil your requirements for research.

Key Insights: 

  • Based on organization type segmentation, large enterprises are estimated to hold the largest market share during the forecast period.
  • Based on deployment model segmentation, the cloud-based is estimated to hold the largest market share during the forecast period.
  • Based on end-user segmentation, the BFSI segment is the leading revenue-generating category during the forecast period.
  • Based on geography/region, the North American area was the leading revenue generator in 2021.

Global Master Data Management Market 2023–2032 (By Billion)

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Recent Development

  • In March 2021, IBM released Infosphere, a master data management solution for organizations with significant master data performance, volume, and accuracy requirements. Infosphere Master Data Management assists clients in attaining a more comprehensive and precise 360-degree view of their most crucial domains, such as individuals, businesses, and accounts. The upgrade increases adherence support and the ability to make task resolution choices faster with machine-learning-aided leadership.
  • In March 2022, Oracle released an upgrade to its enterprise data management product. The cloud solution for Enterprise Data Management (EDM) enhances the system’s capabilities in several ways. These enhancements address crucial issues, including data integrity, transmission, and request tracking. As of the March update, validation errors may now be downloaded as an MS Excel file. This enables EDM users to receive assistance/feedback from others.

Regional Landscape

Throughout the projection period, North America is expected to continue to be among the most alluring markets and this region is accounted for the majority revenue share in the market. The rising technological improvements in the area are key factors supporting the growth of the MDM market in North America. In addition, the increasing number of MDM market participants across geographies is projected to boost market expansion further.

Competitive Landscape

Our report offers quantitative and qualitative insights into the MDM market, and the key players adopt significant development initiatives. Further, it provides competitive details and market share analysis. The report further includes relevant financial information, products and services offered, SWOT analysis, and the players’ recent developments.

Global Master Data Management Market 2023–2032 (By Organization Type)

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Prominent Players:

  • IBM Corporation
  • Tibco Software Inc
  • Oracle Corporation
  • Teradata Corporation
  • Riversand
  • SAS Institute
  • Informatica
  • Talend
  • Stibo System
  • SAP

The global master data management market is segmented as follows:

By Organization Type

  • Small and medium sized enterprises
  • Large enterprises

By Deployment Model

  • On premise
  • Cloud-based

By End User

  • BFSI
  • Healthcare
  • IT and telecommunication
  • Retail
  • Others

On the basis of Geography

North America

  • U.S.
  • Canada
  • Mexico
  • Rest of North America

Europe

  • Germany
  • France
  • U.K.
  • Italy
  • Spain
  • Rest of Europe

Asia Pacific

  • China
  • Japan
  • India
  • New Zealand
  • Australia
  • South Korea
  • Rest of Asia Pacific

The Middle East & Africa

  • Saudi Arabia
  • UAE
  • Egypt
  • Kuwait
  • South Africa
  • Rest of the Middle East & Africa

Latin America

  • Brazil
  • Argentina
  • Rest of Latin America

Table of Contents

  • Chapter 1. Preface
    • 1.1 Report Description and Scope
    • 1.2 Research scope
    • 1.3 Research methodology
      • 1.3.1 Market Research Type
      • 1.3.2 Market research methodology
  • Chapter 2. Executive Summary
    • 2.1 Global Master Data Management Market, (2022 – 2030) (USD Billion)
    • 2.2 Global Master Data Management Market : snapshot
  • Chapter 3. Global Master Data Management Market – Industry Analysis
    • 3.1 Master Data Management Market: Market Dynamics
    • 3.2 Market Drivers
      • 3.2.1 An increase in the use of data quality tools, the rising need for compliance accurately provide forecasts for faster decision-making
    • 3.3 Market Restraints
    • 3.4 Market Opportunities
    • 3.5 Market Challenges
    • 3.6 Porter’s Five Forces Analysis
    • 3.7 Market Attractiveness Analysis
      • 3.7.1 Market attractiveness analysis By Organization Type
      • 3.7.2 Market attractiveness analysis By Deployment Model
      • 3.7.3 Market attractiveness analysis By End User
  • Chapter 4. Global Master Data Management Market- Competitive Landscape
    • 4.1 Company market share analysis
      • 4.1.1 Global Master Data Management Market: company market share, 2021
    • 4.2 Strategic development
      • 4.2.1 Acquisitions & mergers
      • 4.2.2 New Product launches
      • 4.2.3 Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4 Research and development and Regional expansion
    • 4.3 Price trend analysis
  • Chapter 5. Global Master Data Management Market – Organization Type Analysis
    • 5.1 Global Master Data Management Market overview: By Organization Type
      • 5.1.1 Global Master Data Management Market share, By Organization Type, 2021 and 2030
    • 5.2 Small and medium sized enterprises
      • 5.2.1 Global Master Data Management Market by Small and medium sized enterprises, 2022 – 2030 (USD Billion)
    • 5.3 Large enterprises
      • 5.3.1 Global Master Data Management Market by Large enterprises, 2022 – 2030 (USD Billion)
  • Chapter 6. Global Master Data Management Market – Deployment Model Analysis
    • 6.1 Global Master Data Management Market overview: By Deployment Model
      • 6.1.1 Global Master Data Management Market share, By Deployment Model, 2021 and 2030
    • 6.2 On premise
      • 6.2.1 Global Master Data Management Market by On premise, 2022 – 2030 (USD Billion)
    • 6.3 Cloud-based
      • 6.3.1 Global Master Data Management Market by Cloud-based, 2022 – 2030 (USD Billion)
  • Chapter 7. Global Master Data Management Market – End User Analysis
    • 7.1 Global Master Data Management Market overview: By End User
      • 7.1.1 Global Master Data Management Market share, By End User, 2021 and 2030
    • 7.2 BFSI
      • 7.2.1 Global Master Data Management Market by BFSI, 2022 – 2030 (USD Billion)
    • 7.3 Healthcare
      • 7.3.1 Global Master Data Management Market by Healthcare, 2022 – 2030 (USD Billion)
    • 7.4 IT and telecommunication
      • 7.4.1 Global Master Data Management Market by IT and telecommunication, 2022 – 2030 (USD Billion)
    • 7.5 Retail
      • 7.5.1 Global Master Data Management Market by Retail, 2022 – 2030 (USD Billion)
  • Chapter 8. Master Data Management Market – Regional Analysis
    • 8.1 Global Master Data Management Market Regional Overview
    • 8.2 Global Master Data Management Market Share, by Region, 2021 & 2030 (USD Billion)
    • 8.3. North America
      • 8.3.1 North America Master Data Management Market, 2022 – 2030 (USD Billion)
        • 8.3.1.1 North America Master Data Management Market, by Country, 2022 – 2030 (USD Billion)
    • 8.4 North America Master Data Management Market, by Organization Type, 2022 – 2030
      • 8.4.1 North America Master Data Management Market, by Organization Type, 2022 – 2030 (USD Billion)
    • 8.5 North America Master Data Management Market, by Deployment Model, 2022 – 2030
      • 8.5.1 North America Master Data Management Market, by Deployment Model, 2022 – 2030 (USD Billion)
    • 8.6 North America Master Data Management Market, by End User, 2022 – 2030
      • 8.6.1 North America Master Data Management Market, by End User, 2022 – 2030 (USD Billion)
    • 8.7. Europe
      • 8.7.1 Europe Master Data Management Market, 2022 – 2030 (USD Billion)
        • 8.7.1.1 Europe Master Data Management Market, by Country, 2022 – 2030 (USD Billion)
    • 8.8 Europe Master Data Management Market, by Organization Type, 2022 – 2030
      • 8.8.1 Europe Master Data Management Market, by Organization Type, 2022 – 2030 (USD Billion)
    • 8.9 Europe Master Data Management Market, by Deployment Model, 2022 – 2030
      • 8.9.1 Europe Master Data Management Market, by Deployment Model, 2022 – 2030 (USD Billion)
    • 8.10 Europe Master Data Management Market, by End User, 2022 – 2030
      • 8.10.1 Europe Master Data Management Market, by End User, 2022 – 2030 (USD Billion)
    • 8.11. Asia Pacific
      • 8.11.1 Asia Pacific Master Data Management Market, 2022 – 2030 (USD Billion)
        • 8.11.1.1 Asia Pacific Master Data Management Market, by Country, 2022 – 2030 (USD Billion)
    • 8.12 Asia Pacific Master Data Management Market, by Organization Type, 2022 – 2030
      • 8.12.1 Asia Pacific Master Data Management Market, by Organization Type, 2022 – 2030 (USD Billion)
    • 8.13 Asia Pacific Master Data Management Market, by Deployment Model, 2022 – 2030
      • 8.13.1 Asia Pacific Master Data Management Market, by Deployment Model, 2022 – 2030 (USD Billion)
    • 8.14 Asia Pacific Master Data Management Market, by End User, 2022 – 2030
      • 8.14.1 Asia Pacific Master Data Management Market, by End User, 2022 – 2030 (USD Billion)
    • 8.15. Latin America
      • 8.15.1 Latin America Master Data Management Market, 2022 – 2030 (USD Billion)
        • 8.15.1.1 Latin America Master Data Management Market, by Country, 2022 – 2030 (USD Billion)
    • 8.16 Latin America Master Data Management Market, by Organization Type, 2022 – 2030
      • 8.16.1 Latin America Master Data Management Market, by Organization Type, 2022 – 2030 (USD Billion)
    • 8.17 Latin America Master Data Management Market, by Deployment Model, 2022 – 2030
      • 8.17.1 Latin America Master Data Management Market, by Deployment Model, 2022 – 2030 (USD Billion)
    • 8.18 Latin America Master Data Management Market, by End User, 2022 – 2030
      • 8.18.1 Latin America Master Data Management Market, by End User, 2022 – 2030 (USD Billion)
    • 8.19. The Middle-East and Africa
      • 8.19.1 The Middle-East and Africa Master Data Management Market, 2022 – 2030 (USD Billion)
        • 8.19.1.1 The Middle-East and Africa Master Data Management Market, by Country, 2022 – 2030 (USD Billion)
    • 8.20 The Middle-East and Africa Master Data Management Market, by Organization Type, 2022 – 2030
      • 8.20.1 The Middle-East and Africa Master Data Management Market, by Organization Type, 2022 – 2030 (USD Billion)
    • 8.21 The Middle-East and Africa Master Data Management Market, by Deployment Model, 2022 – 2030
      • 8.21.1 The Middle-East and Africa Master Data Management Market, by Deployment Model, 2022 – 2030 (USD Billion)
    • 8.22 The Middle-East and Africa Master Data Management Market, by End User, 2022 – 2030
      • 8.22.1 The Middle-East and Africa Master Data Management Market, by End User, 2022 – 2030 (USD Billion)
  • Chapter 9. Company Profiles
    • 9.1 IBM Corporation
      • 9.1.1 Overview
      • 9.1.2 Financials
      • 9.1.3 Product Portfolio
      • 9.1.4 Business Strategy
      • 9.1.5 Recent Developments
    • 9.2 Tibco Software Inc
      • 9.2.1 Overview
      • 9.2.2 Financials
      • 9.2.3 Product Portfolio
      • 9.2.4 Business Strategy
      • 9.2.5 Recent Developments
    • 9.3 Oracle Corporation
      • 9.3.1 Overview
      • 9.3.2 Financials
      • 9.3.3 Product Portfolio
      • 9.3.4 Business Strategy
      • 9.3.5 Recent Developments
    • 9.4 Teradata Corporation
      • 9.4.1 Overview
      • 9.4.2 Financials
      • 9.4.3 Product Portfolio
      • 9.4.4 Business Strategy
      • 9.4.5 Recent Developments
    • 9.5 Riversand
      • 9.5.1 Overview
      • 9.5.2 Financials
      • 9.5.3 Product Portfolio
      • 9.5.4 Business Strategy
      • 9.5.5 Recent Developments
    • 9.6 SAS Institute
      • 9.6.1 Overview
      • 9.6.2 Financials
      • 9.6.3 Product Portfolio
      • 9.6.4 Business Strategy
      • 9.6.5 Recent Developments
    • 9.7 Informatica
      • 9.7.1 Overview
      • 9.7.2 Financials
      • 9.7.3 Product Portfolio
      • 9.7.4 Business Strategy
      • 9.7.5 Recent Developments
    • 9.8 Talend
      • 9.8.1 Overview
      • 9.8.2 Financials
      • 9.8.3 Product Portfolio
      • 9.8.4 Business Strategy
      • 9.8.5 Recent Developments
    • 9.9 Stibo System
      • 9.9.1 Overview
      • 9.9.2 Financials
      • 9.9.3 Product Portfolio
      • 9.9.4 Business Strategy
      • 9.9.5 Recent Developments
    • 9.10 SAP
      • 9.10.1 Overview
      • 9.10.2 Financials
      • 9.10.3 Product Portfolio
      • 9.10.4 Business Strategy
      • 9.10.5 Recent Developments
List Of Figures

Figures No 1 to 24

List Of Tables

Tables No 1 to 77

Report Methodology

In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:

Preliminary Data Mining

On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.

Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.

Statistical Model

Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.

Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.

Some of the variables taken into account for forecasting are as follows:

• Industry drivers and constraints, as well as their current and projected impact

• The raw material case, as well as supply-versus-price trends

• Current volume and projected volume growth through 2030

We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.

Primary Validation

This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.

Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.

All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:

• Market leaders

• Suppliers of raw materials

• Suppliers of raw materials

• Buyers.

The following are the primary research objectives:

• To ensure the accuracy and acceptability of our data.

• Gaining an understanding of the current market and future projections.

Data Collection Matrix

Perspective Primary research Secondary research
Supply-side
  • Manufacturers
  • Technology distributors and wholesalers
  • Company reports and publications
  • Government publications
  • Independent investigations
  • Economic and demographic data
Demand-side
  • End-user surveys
  • Consumer surveys
  • Mystery shopping
  • Case studies
  • Reference customers


Market Analysis Matrix

Qualitative analysis Quantitative analysis
  • Industry landscape and trends
  • Market dynamics and key issues
  • Technology landscape
  • Market opportunities
  • Porter’s analysis and PESTEL analysis
  • Competitive landscape and component benchmarking
  • Policy and regulatory scenario
  • Market revenue estimates and forecast up to 2030
  • Market revenue estimates and forecasts up to 2030, by technology
  • Market revenue estimates and forecasts up to 2030, by application
  • Market revenue estimates and forecasts up to 2030, by type
  • Market revenue estimates and forecasts up to 2030, by component
  • Regional market revenue forecasts, by technology
  • Regional market revenue forecasts, by application
  • Regional market revenue forecasts, by type
  • Regional market revenue forecasts, by component

Prominent Players:

  • IBM Corporation
  • Tibco Software Inc
  • Oracle Corporation
  • Teradata Corporation
  • Riversand
  • SAS Institute
  • Informatica
  • Talend
  • Stibo System
  • SAP
  • Others

FAQs

The increased use of data quality tools for data management and the rising need for compliance accurately provides forecasts for faster decision making is also expected to drive the Master Data Management Market growth.

The key players operating in the Master Data Management market are IBM Corporation, Tibco Software Inc, Oracle Corporation , Teradata Corporation, Riversand, SAS Institute, Informatica, Talend, Stibo System, SAP

The global Master Data Management market is expanding growth with a CAGR of approximately 18.2% during the forecast period (2022 to 2030).

The global Master Data Management market size was valued at USD 7.55 billion in 2021 and it is projected to reach around USD 23.8 billion by 2030.

“North America” region will lead the global Master Data Management market during the forecast period 2022 to 2030.

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