Global Data Management Platforms Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global Data Management Platforms Market 2024 by Company, Regions, Type and Application, Forecast to 2030

A data management platforms (DMPs) is a software platform used for collecting and managing data. They allow businesses owners to identify audience segments, which can be used to target specific users and contexts in online advertising campaigns. DMPs may use big data and artificial intelligence algorithms to process and analyze large data sets about users from various sources. Some advantages of using DMPs include data organization, increased insight on audiences and markets, and effective advertisement budgeting. On the other hand, DMPs often have to deal with privacy concerns due to the integration of third-party software with private data.

According to our (Global Info Research) latest study, the global Data Management Platforms market size was valued at US$ million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of %during review period.

In Europe, Data Management Platforms key players include Oracle, Adobe, Neustar, Salesforce, Lotame, Verizon Media, Cloudera, SAS, OnAudience, Snowflake, Mapp, Nielsen, The ADEX, The Trade Desk, etc.

Germany is the largest market, with a share about 22%, followed by U.K., and France, both have a share about 30 percent.

In terms of product, Large Enterprises is the largest segment, with a share over 56%. And in terms of application, the largest application is Media and Entertainment.

This report is a detailed and comprehensive analysis for global Data Management Platforms market. Both quantitative and qualitative analyses are presented by company, by region & country, by End User and by Vertical Industry. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.

Key Features:

Global Data Management Platforms market size and forecasts, in consumption value ($ Million), 2019-2030

Global Data Management Platforms market size and forecasts by region and country, in consumption value ($ Million), 2019-2030

Global Data Management Platforms market size and forecasts, by End User and by Vertical Industry, in consumption value ($ Million), 2019-2030

Global Data Management Platforms market shares of main players, in revenue ($ Million), 2019-2024

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Data Management Platforms

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Data Management Platforms market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Oracle, Adobe, Neustar, Salesforce, Lotame, Verizon Media, Cloudera, SAS, OnAudience, Snowflake, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

Data Management Platforms market is split by End User and by Vertical Industry. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by End User and by Vertical Industry. This analysis can help you expand your business by targeting qualified niche markets.

Market segmentation

Data Management Platforms market is split by End User and by Vertical Industry. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by End User and by Vertical Industry. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by End User
SMEs
Large Enterprises

Market segment by Vertical Industry
BFSI
Travel and Hospitality
Retail and eCommerce
Media and Entertainment
Education
Others

Market segment by players, this report covers
Oracle
Adobe
Neustar
Salesforce
Lotame
Verizon Media
Cloudera
SAS
OnAudience
Snowflake
Mapp
Nielsen
The ADEX
The Trade Desk

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Data Management Platforms product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Data Management Platforms, with revenue, gross margin, and global market share of Data Management Platforms from 2019 to 2024.

Chapter 3, the Data Management Platforms competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by End User and by Vertical Industry, with consumption value and growth rate by End User, by Vertical Industry, from 2019 to 2030.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Data Management Platforms market forecast, by regions, by End User and by Vertical Industry, with consumption value, from 2024 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Data Management Platforms.

Chapter 13, to describe Data Management Platforms research findings and conclusion.