Data Management Platform Market Synopsis:
According to Market Research Future (MRFR), the global data management platform market is expected to reach approximately USD 3 billion, with 15% CAGR from 2017 to 2023 (forecast period). The report presents a thorough summary of the current scenario, the economic situation, and the COVID-19 analysis of the overall industry.
TheData Management Platform Marketis an intelligent type of data warehouse. It gathers and stores data from sources such as mobile apps, mobile web, CRM, social networks, and offers valuable information to users such as advertising agencies, marketers, and publishers. The data management platform is primarily used to extend the audience’s segmentation by understanding the structure of the audience by device, application, and usage environment to improve the effectiveness of the audience engagements. It is also intended to track ad campaign strategies to identify points of conversion and even to personalize campaigns to enhance efficiency. The data management platform also supports end-users by analyzing data and matching consumers across different devices. It also allows marketers to increase the conversion at each stage.
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Major Key Players:
The global data management platform (DMP) market holds some of the key players and many emerging companies such as Adobe Systems Inc (U.S.), Oracle Corporation (U.S.), KBM Group LLC (U.S.), Neustar, Inc (U.S.), Rocket Fuel, Inc (U.S.), Krux Digital Inc (U.S.), SAP SE (Germany), Lotame Solutions Inc (U.S.), Turn Inc (U.S.), SAS Institute (U.S.), Cloudera Inc (U.S.) and Informatica (U.S.).
Market Dynamics:
The data management platform helps marketers and agencies to acquire accurate customer information in order to create tailored and strategically targeted advertisements for higher conversion levels, ROI, and customer retention.
The data management platform contains many features, such as data collection, data classification, data analysis, data transfer, and scalability, enabling users to target clients anytime and anywhere to execute real-time and long-term campaigns. Some of the advanced features provided by the data management platform include tag management, audience segmentation, media integration, campaign analysis, and audience analytics.
Market Segmentation:
The global data management platform has been segmented on the basis of data type, data source, and end-user.
- Based on data type, the global data management platform has been segmented into first party, second party, and third-party data. Among these, the first party data is the most important data since the data collection source has some sort of direct connection to the brand. They are either existing customers or prospective customers. Marketers use this type of data to turn potential users into customers and sell products to existing customers. The first party data has the largest market share. However, the share of third-party data continues to increase.
- Based on data source, the global data management platform has been segmented into web analytics tools, mobile web, POS data, mobile apps, CRM data, and social networks, among others. Out of these, social network, mobile apps, web analytics tools, and POS data demonstrate a large share of data collection. The market for data management platforms is primarily targeted at advertising agencies, marketers, and publishers as end-users.
- Based on end-user, the global data management platform has been segmented into Ad agencies, marketers, and publishers.
Regional Analysis:
Region-wise, the global data management platform market has been segmented into North America, Europe, Asia Pacific, and the Rest of the world.
North America is estimated to dominate the global data management platform market, followed by Asia pacific. This is mostly due to an increase in online customer and internet usage. As technological advances grow, the growth of connected devices increases the use of data sharing across various platforms.
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Table of Content
1 Market Introduction
1.1 Introduction
1.2 Scope of Study
1.2.1 Research objective
1.2.2 Assumptions
1.2.3 Limitations
1.3 Market Structure
Continued…
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