Report Code: CMI20423

Published Date: November 2022

Pages: 220+

Category: Latin America

Report Snapshot

CAGR: 15.4%
15,200M
2021
17,200M
2022
32,400M
2030

Source: CMI

Study Period: 2024-2033
Fastest Growing Market: Latin America
Largest Market: Latin America

Major Players

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

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Reports Description

Our recently published report, “Latin America 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. Research shows that the master data management market was estimated at around USD 15,200 million in 2021 and is expected to reach USD 17,200 million in 2022 growing at a CAGR of nearly 15.4% from 2022-2030. The market is projected to reach approximately USD 32,400 million by 2030.

Latin America Master Data Management Market: Overview

Latin America Master data management (MDM) is the knowledge and/or technology that provides a consistent view of a company’s information and makes it conveniently available to other business functions. Master data is the core component of MDM; master data is an organization’s essential business data, which includes the product, supplier, and customer information. Master, data management solutions improve the accuracy and control of a company’s data across business systems such as ERP, CRM, product lifecycle management (PLM), enterprise performance management (EPM), and others.

Businesses may now gather and manage master data and utilize it for data analytics and intelligent decision-making, thanks to the introduction of MDM. MDM boosts organizational and operational efficiency and decision-making abilities. MDM simplifies data usage for multiple corporate operations to improve operational and business performance and deliver better customer service. MDM cloud usage lowers the total cost of ownership while improving business data storage capacity. Organizations prefer cloud-based MDM because it is faster to install, provides more agility, and has greater flexibility than on-premises solutions at a lower cost. These factors all contribute to the popularity of cloud-based MDM systems.

Master Data Management Market: COVID – 19 Impact Analysis

The COVID-19 epidemic has had a tremendous impact on every business, notably the IT industry in Latin America, with the hardware industry bearing the brunt of the damage. As a result of the lockdown in Latin American countries, the sector faced a significant slowdown in the fabrication and distribution of hardware components. In addition, the software and service industries also witnessed a considerable slowdown for a limited period. The utilisation of cloud-based technology, collaborative apps, security solutions, big data, and artificial intelligence (AI), on the other hand, assisted the IT industry both during and after the closure.

Since quarantine and other COVID-related processes were undertaken, the pandemic has impacted the Latin America master data management sector, impeding the market growth. With the limitations removed, the market is reverting to pre-COVID levels. Organizations cooperated with corporations to develop innovative quarantine solutions to reduce the danger of COVID-19 and the risk of the disease spreading in the workplace. Several master data management software suppliers have set up work-from-home centres and implemented work-from-home modules into their existing master data management systems, hastening the spread of the work-from-home culture.

Latin America Master Data Management Market: Growth Drivers

Increasing usage of data management tools

Substantial volumes of data generated across an enterprise are routed via master data management systems and services, allowing data to be kept in a single location while maintaining data security. To enhance operational effectiveness, increased data churning needs improved data quality systems. Improving data quality is the first step in deploying MDM, a powerful technology that allows businesses to track information flow and audit data transformation stages.

MDM systems automatically update records and delete incorrect data, while data quality technologies assured data accuracy. This has allowed businesses to use both MDM systems and data quality technology. Data integrity is critical for financial services companies. Data quality solutions reduce duplicate entries and rework while preserving authentic data records. Data unification is becoming increasingly essential for firms that understand the value of high-quality data. By rising demand for MDM solutions, this factor is propelling the Latin America master data management market ahead.

Introduction of advanced technologies with MDM solutions

The MDM sector is being propelled ahead by artificial intelligence (AI), big data, and machine learning (ML). This technology opens up new avenues for storage and processing, in addition to the accessibility of enormous datasets. Customers’ needs are diversifying as new technologies improve their ability to manage multi-domain and multi-faceted data. The most common request has been for MDM solutions to be connected with Big Data, analytics, and business intelligence technologies. As a result, duplicate records are found, and data quality is assured, solving two common master data issues. It also verifies documents using information from sources beyond the master data administration programme, such as data, CAD data, and transaction history.

Machine learning is becoming more popular in MDM, allowing fresh data to be reviewed while relying on previous data transfers. Organizations may utilise missing understanding to uncover patterns in data, as well as possible relationships and correlations, and to speed up integration from a source to an end-user. Businesses may use these technologies to combine eCRM, customisation, social commerce, and offline operations, resulting in a unified data source for all channels. Furthermore, forward-thinking companies like Amazon, Google, and Facebook combine MDM with other contemporary technologies to give complete, dependable, and accurate information across all channels to accelerate growth while protecting their brands.

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

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Latin America Master Data Management Market: Segmentation Analysis

The Latin America 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 organizations in Latin America are the primary users of MDM systems to process data, analyses it, and make choices based on the results. The MDM also eliminates erroneous and misleading data, which increases clarity and decreases complexity.

By deployment model, the cloud-based segment is anticipated to dominate the market during the forecast period. Cloud-based data allows for the insertion and deletion of data via online services managed by operating from remote regions. In addition, the growing prevalence of cloud-based databases is driving SMEs to embrace and migrate to cloud-based databases to boost efficiency.

By end user, the BFSI segment is anticipated to dominate the market during the forecast period. In Latin America, the BFSI sector has grown significantly during the last decade. As a result, the BFSI industry is the most likely to employ MDM solutions. The requirement for precision and continuous data analysis to get the desired results has increased MDM’s popularity in the BFSI industry. 

Report Scope

Feature of the Report Details
Market Size in 2021 USD 15,200 Million
Projected Market Size in 2030 USD 32,400 Million
Market Size in 2022 USD 17,200 Million
CAGR Growth Rate 15.4% 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 country, the Brazil region was the leading revenue generator in 2021.

Recent Development

  • In March 2021, IBM released InfoSphere, a master data management solution for organisations 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 their 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.

Latin America Master Data Management Market 2023–2032 (By Million)

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Country Landscape

Throughout the projection period, Brazil 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 Brazil. In addition, the increasing number of MDM market participants across Latin America 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.

Latin America 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 Latin America 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 Latin America Geography

  • 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 Latin America Master Data Management Market, (2022 – 2030) (USD Million)
    • 2.2 Latin America Master Data Management Market : snapshot
  • Chapter 3. Latin America Master Data Management Market – Industry Analysis
    • 3.1 Master Data Management Market: Market Dynamics
    • 3.2 Market Drivers
      • 3.2.1 Increasing usage of data management tools
      • 3.2.2 Increasing usage of data management tools
      • 3.2.3 Introduction of advanced technologies with MDM solutions
    • 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. Latin America Master Data Management Market- Competitive Landscape
    • 4.1 Company market share analysis
      • 4.1.1 Latin America 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. Latin America Master Data Management Market – Organization Type Analysis
    • 5.1 Latin America Master Data Management Market overview: By Organization Type
      • 5.1.1 Latin America Master Data Management Market share, By Organization Type, 2021 and 2030
    • 5.2 Small and Medium Sized Enterprises
      • 5.2.1 Latin America Master Data Management Market by Small and Medium Sized Enterprises, 2022 – 2030 (USD Million)
    • 5.3 Large Enterprises
      • 5.3.1 Latin America Master Data Management Market by Large Enterprises, 2022 – 2030 (USD Million)
  • Chapter 6. Latin America Master Data Management Market – Deployment Model Analysis
    • 6.1 Latin America Master Data Management Market overview: By Deployment Model
      • 6.1.1 Latin America Master Data Management Market share, By Deployment Model, 2021 and 2030
    • 6.2 On premise
      • 6.2.1 Latin America Master Data Management Market by On premise, 2022 – 2030 (USD Million)
    • 6.3 Cloud-based
      • 6.3.1 Latin America Master Data Management Market by Cloud-based, 2022 – 2030 (USD Million)
  • Chapter 7. Latin America Master Data Management Market – End User Analysis
    • 7.1 Latin America Master Data Management Market overview: By End User
      • 7.1.1 Latin America Master Data Management Market share, By End User, 2021 and 2030
    • 7.2 BFSI
      • 7.2.1 Latin America Master Data Management Market by BFSI, 2022 – 2030 (USD Million)
    • 7.3 Healthcare
      • 7.3.1 Latin America Master Data Management Market by Healthcare, 2022 – 2030 (USD Million)
    • 7.4 IT and Telecommunication
      • 7.4.1 Latin America Master Data Management Market by IT and Telecommunication, 2022 – 2030 (USD Million)
    • 7.5 Retail
      • 7.5.1 Latin America Master Data Management Market by Retail, 2022 – 2030 (USD Million)
    • 7.6 Others
      • 7.6.1 Latin America Master Data Management Market by Others, 2022 – 2030 (USD Million)
  • Chapter 8. Master Data Management Market – Regional Analysis
    • 8.1 Latin America Master Data Management Market Regional Overview
    • 8.2 Latin America Master Data Management Market Share, by Region, 2021 & 2030 (USD Million)
  • 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 20

List Of Tables

Tables No 1 to 2

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

Brazil” country will lead the global Master Data Management market during the forecast period 2022 to 2030.

The key factors driving the market [Growth Factors].

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 15.4% during the forecast period (2022 to 2030).

The global Master Data Management market size was valued at USD 15,200 Million in 2021 and it is projected to reach around USD 32,400 Million by 2030.

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