Healthcare Customer Data Platform Market – Global Industry Trends and Forecast 2022 to 2030

The global Healthcare Customer Data Platform market size is expected to be worth around US$ 3.6 billion by 2030, according to a new report by Vision Research Reports.

The global Healthcare Customer Data Platform market size was valued at US$ 225.4 million in 2020 and is anticipated to grow at a CAGR of 28.2% during forecast period 2021 to 2030.

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Report Coverage

Report Scope Details
Market Size US$ 3.6 Billion by 2030
Growth Rate CAGR of 28.2% From 2021 to 2030
Base Year 2021
Forecast Period 2021 to 2030
Segments Covered Component, Deployment Mode, Organization Size, Application
Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Mentioned Microsoft; Mercury Healthcare, Inc.; Tealium, Inc.; Innovaccer Inc.; Adobe; Treasure Data, Inc.; Skypoint Cloud Inc.; Solix Technologies, Inc.; Salesforece.com, Inc.;Reltio

Growth Factors

 Customer data platforms integrate a variety of information, structured as well as unstructured, and work with various data sets to transform the results into useful insights to drive the growth of the business. Customer data platforms draw out the insights with the help of sources such as personally identifiable information, third-party data, and streaming data of customer journey. The customer journey sources include user-level data, email cookies, contact numbers, social media profiles, purchase history, website trackers, emails, and CRM data.

Customer data platform offers potential solutions for businesses to recover from the impact of the pandemic. The pandemic has raised interest in information technology solutions to manage patient data. The social distancing and stay-at-home norms encouraged customer interactions B2B as well as B2C. Marketers are interested in technologies to collect customer data from digital channels. Customer data platforms work on the collection, unification, and workable data insights.

By Component Analysis

the software segment dominated the market and held the largest revenue share of 77.6%. The segment is anticipated to showcase the fastest CAGR over the forecast period from 2021 to 2028. Customer data platforms are packaged software that assembles a comprehensive view of each customer and unifies the data for analysis.

by acquiring fragments of customer data from various source channels. Some customer data platform systems go beyond just assembling customer data to include analysis and offer campaign functions of their own.

By Deployment Mode Analysis

The cloud-based deployment model dominated the market and accounted for the largest revenue share of 72.1% in 2020. The segment is likely to witness the fastest CAGR over the forecast period due to the quick access, higher flexibility, easier data back up, and lower handling costs.

By Application Analysis

the predictive analytics segment dominated the market and accounted for the largest revenue share of 25.9%. With the help of predictive modeling, customer data platforms can turn big volumes of data into usable insights that can guide business marketing decisions.

The personalized recommendations segment is anticipated to witness the fastest growth rate over the forecast period from 2021 to 2030. The delivery of meaningful, tailored, and relevant insights from customer data are crucial for brands to understand their customer preferences.

By Organization Size Analysis

the large enterprises segment dominated the market and held the largest revenue share of 65.2%. This is owing to the growing demand for data platforms by larger organizations. Larger enterprises, such as big hospitals, deal with a huge volume of patient data and they require data being tracked across various channels.

By Regional Analysis

North America dominated the healthcare customer data platform market and accounted for the largest revenue share of 51.0%. The segment is likely to maintain its position throughout the forecast period. The market growth can be attributed to the higher adoption of technology, growing digital literacy, development of information technology infrastructure, and the presence of key market players in the region.

Key Players

  • Microsoft
  • Mercury Healthcare, Inc.
  • Tealium, Inc.
  • Innovaccer Inc.
  • Adobe
  • Treasure Data, Inc.
  • Skypoint Cloud Inc.
  • Solix Technologies, Inc.
  • Salesforece.com, Inc.
  • Reltio

Market Segmentation

  • By Component
    • Software
    • Services
  • By Deployment Mode
    • On-premise
    • Cloud-based
  • By Organization Size
    • Large Enterprises
    • Small & Medium-sized Enterprises
  • By Application
    • Personalized Recommendations
    • Predictive Analytics
    • Marketing Data Segmentation
    • Customer Retention and Engagement
    • Security Management
    • Others
  • Regional
    • North America
      • U.S.
      • Canada
    • Europe
      • U.K.
      • Germany
      • France
      • Italy
      • Spain
    • Asia Pacific
      • Japan
      • China
      • India
      • Australia
      • South Korea
    • Latin America
      • Brazil
      • Mexico
      • Argentina
    • Middle East & Africa
      • South Africa
      • Saudi Arabia

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Reasons to Purchase this Report:

– Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
– Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
– Market value USD Million and volume Units Million data for each segment and sub-segment
– Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
– Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Table of Contents

Chapter 1.  Introduction

1.1.  Research Objective

1.2.  Scope of the Study

1.3.  Definition

Chapter 2.  Research Methodology

2.1.  Research Approach

2.2.  Data Sources

2.3.  Assumptions & Limitations

Chapter 3.  Executive Summary

3.1.  Market Snapshot

Chapter 4.  Market Variables and Scope

4.1.  Introduction

4.2.  Market Classification and Scope

4.3.  Industry Value Chain Analysis

4.3.1.    Raw Material Procurement Analysis

4.3.2.    Sales and Organization Size Analysis

4.3.3.    Downstream Buyer Analysis

Chapter 5.  Market Dynamics Analysis and Trends

5.1.  Market Dynamics

5.1.1.    Market Drivers

5.1.2.    Market Restraints

5.1.3.    Market Opportunities

5.2.  Porter’s Five Forces Analysis

5.2.1.    Bargaining power of suppliers

5.2.2.    Bargaining power of buyers

5.2.3.    Threat of substitute

5.2.4.    Threat of new entrants

5.2.5.    Degree of competition

Chapter 6.  Competitive Landscape

6.1.1.    Company Market Share/Positioning Analysis

6.1.2.    Key Strategies Adopted by Players

6.1.3.    Vendor Landscape

6.1.3.1.        List of Suppliers

6.1.3.2.        List of Buyers

Chapter 7.  Global Healthcare Customer Data Platform Market, By Component

7.1.  Healthcare Customer Data Platform Market, by Component, 2021-2030

7.1.1.    Software

7.1.1.1.        Market Revenue and Forecast (2017-2030)

7.1.2.    Services

7.1.2.1.        Market Revenue and Forecast (2017-2030)

Chapter 8.                                      Global Healthcare Customer Data Platform Market, By Deployment Mode

8.1.  Healthcare Customer Data Platform Market, by Form, 2021-2030

8.1.1.    On-premise

8.1.1.1.        Market Revenue and Forecast (2017-2030)

8.1.2.    Cloud-based

8.1.2.1.        Market Revenue and Forecast (2017-2030)

Chapter 9.  Global Healthcare Customer Data Platform Market, By Organization Size

9.1.  Healthcare Customer Data Platform Market, by Organization Size, 2021-2030

9.1.1.    Large Enterprises

9.1.1.1.        Market Revenue and Forecast (2017-2030)

9.1.2.    Small & Medium-sized Enterprises

9.1.2.1.        Market Revenue and Forecast (2017-2030)

Chapter 10.      Global Healthcare Customer Data Platform Market, By Application

10.1.        Healthcare Customer Data Platform Market, by Application, 2021-2030

10.1.1.  Personalized Recommendations

10.1.1.1.      Market Revenue and Forecast (2017-2030)

10.1.2.  Predictive Analytics

10.1.2.1.      Market Revenue and Forecast (2017-2030)

10.1.3.  Marketing Data Segmentation

10.1.3.1.      Market Revenue and Forecast (2017-2030)

10.1.4.  Customer Retention and Engagement

10.1.4.1.      Market Revenue and Forecast (2017-2030)

10.1.5.  Security Management

10.1.5.1.      Market Revenue and Forecast (2017-2030)

Chapter 11.      Global Healthcare Customer Data Platform Market, Regional Estimates and Trend Forecast

11.1.        North America

11.1.1.  Market Revenue and Forecast, by Component (2017-2030)

11.1.2.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.1.3.  Market Revenue and Forecast, by Organization Size (2017-2030)

11.1.4.  Market Revenue and Forecast, by Application (2017-2030)

11.1.5.  U.S.

11.1.5.1.      Market Revenue and Forecast, by Component (2017-2030)

11.1.5.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.1.5.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.1.5.4.      Market Revenue and Forecast, by Application (2017-2030)

11.1.6.  Rest of North America

11.1.6.1.      Market Revenue and Forecast, by Component (2017-2030)

11.1.6.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.1.6.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.1.6.4.      Market Revenue and Forecast, by Application (2017-2030)

11.2.        Europe

11.2.1.  Market Revenue and Forecast, by Component (2017-2030)

11.2.2.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.2.3.  Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.4.  Market Revenue and Forecast, by Application (2017-2030)

11.2.5.  UK

11.2.5.1.      Market Revenue and Forecast, by Component (2017-2030)

11.2.5.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.2.5.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.5.4.      Market Revenue and Forecast, by Application (2017-2030)

11.2.6.  Germany

11.2.6.1.      Market Revenue and Forecast, by Component (2017-2030)

11.2.6.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.2.6.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.6.4.      Market Revenue and Forecast, by Application (2017-2030)

11.2.7.  France

11.2.7.1.      Market Revenue and Forecast, by Component (2017-2030)

11.2.7.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.2.7.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.7.4.      Market Revenue and Forecast, by Application (2017-2030)

11.2.8.  Rest of Europe

11.2.8.1.      Market Revenue and Forecast, by Component (2017-2030)

11.2.8.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.2.8.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.8.4.      Market Revenue and Forecast, by Application (2017-2030)

11.3.        APAC

11.3.1.  Market Revenue and Forecast, by Component (2017-2030)

11.3.2.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.3.3.  Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.4.  Market Revenue and Forecast, by Application (2017-2030)

11.3.5.  India

11.3.5.1.      Market Revenue and Forecast, by Component (2017-2030)

11.3.5.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.3.5.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.5.4.      Market Revenue and Forecast, by Application (2017-2030)

11.3.6.  China

11.3.6.1.      Market Revenue and Forecast, by Component (2017-2030)

11.3.6.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.3.6.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.6.4.      Market Revenue and Forecast, by Application (2017-2030)

11.3.7.  Japan

11.3.7.1.      Market Revenue and Forecast, by Component (2017-2030)

11.3.7.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.3.7.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.7.4.      Market Revenue and Forecast, by Application (2017-2030)

11.3.8.  Rest of APAC

11.3.8.1.      Market Revenue and Forecast, by Component (2017-2030)

11.3.8.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.3.8.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.8.4.      Market Revenue and Forecast, by Application (2017-2030)

11.4.        MEA

11.4.1.  Market Revenue and Forecast, by Component (2017-2030)

11.4.2.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.4.3.  Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.4.  Market Revenue and Forecast, by Application (2017-2030)

11.4.5.  GCC

11.4.5.1.      Market Revenue and Forecast, by Component (2017-2030)

11.4.5.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.4.5.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.5.4.      Market Revenue and Forecast, by Application (2017-2030)

11.4.6.  North Africa

11.4.6.1.      Market Revenue and Forecast, by Component (2017-2030)

11.4.6.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.4.6.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.6.4.      Market Revenue and Forecast, by Application (2017-2030)

11.4.7.  South Africa

11.4.7.1.      Market Revenue and Forecast, by Component (2017-2030)

11.4.7.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.4.7.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.7.4.      Market Revenue and Forecast, by Application (2017-2030)

11.4.8.  Rest of MEA

11.4.8.1.      Market Revenue and Forecast, by Component (2017-2030)

11.4.8.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.4.8.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.8.4.      Market Revenue and Forecast, by Application (2017-2030)

11.5.        Latin America

11.5.1.  Market Revenue and Forecast, by Component (2017-2030)

11.5.2.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.5.3.  Market Revenue and Forecast, by Organization Size (2017-2030)

11.5.4.  Market Revenue and Forecast, by Application (2017-2030)

11.5.5.  Brazil

11.5.5.1.      Market Revenue and Forecast, by Component (2017-2030)

11.5.5.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.5.5.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.5.5.4.      Market Revenue and Forecast, by Application (2017-2030)

11.5.6.  Rest of LATAM

11.5.6.1.      Market Revenue and Forecast, by Component (2017-2030)

11.5.6.2.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

11.5.6.3.      Market Revenue and Forecast, by Organization Size (2017-2030)

11.5.6.4.      Market Revenue and Forecast, by Application (2017-2030)

Chapter 12.  Company Profiles

12.1.              Microsoft

12.1.1.  Company Overview

12.1.2.  Component Offerings

12.1.3.  Financial Performance

12.1.4.  Recent Initiatives

12.2.              Mercury Healthcare, Inc

12.2.1.  Company Overview

12.2.2.  Component Offerings

12.2.3.  Financial Performance

12.2.4.  Recent Initiatives

12.3.              Tealium, Inc.

12.3.1.  Company Overview

12.3.2.  Component Offerings

12.3.3.  Financial Performance

12.3.4.  Recent Initiatives

12.4.              Innovaccer Inc.

12.4.1.  Company Overview

12.4.2.  Component Offerings

12.4.3.  Financial Performance

12.4.4.  Recent Initiatives

12.5.              Adobe

12.5.1.  Company Overview

12.5.2.  Component Offerings

12.5.3.  Financial Performance

12.5.4.  Recent Initiatives

12.6.              Treasure Data, Inc.

12.6.1.  Company Overview

12.6.2.  Component Offerings

12.6.3.  Financial Performance

12.6.4.  Recent Initiatives

12.7.              Skypoint Cloud Inc.

12.7.1.  Company Overview

12.7.2.  Component Offerings

12.7.3.  Financial Performance

12.7.4.  Recent Initiatives

12.8.              Solix Technologies, Inc.

12.8.1.  Company Overview

12.8.2.  Component Offerings

12.8.3.  Financial Performance

12.8.4.  Recent Initiatives

12.9.              Salesforece.com, Inc.

12.9.1.  Company Overview

12.9.2.  Component Offerings

12.9.3.  Financial Performance

12.9.4.  Recent Initiatives

12.10.           Reltio

12.10.1.               Company Overview

12.10.2.               Component Offerings

12.10.3.               Financial Performance

12.10.4.               Recent Initiatives

Chapter 13.  Research Methodology

13.1.              Primary Research

13.2.              Secondary Research

13.3.              Assumptions

Chapter 14.  Appendix

14.1.              About Us

14.2.              Glossary of Terms

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