Germany Patient Engagement Solutions Market Analysis

Germany Patient Engagement Solutions Market Analysis


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The Germany patient engagement solutions market is projected to grow from $622.57 Mn in 2022 to $1373.85 Mn by 2030, registering a CAGR of 10.4% during the forecast period of 2022 - 2030. The main factors driving the growth would be the growing adoption of digital health solutions, increasing prevalence of chronic diseases, technological advancements, and government support. The market is segmented by component, delivery mode, application, therapeutic area, functionality, and by end-user. Some of the major players include SAP Health, Siemens Healthineers, IBM, Mckesson, and Oracle.

ID: IN10DEHS015 CATEGORY: Healthcare Services GEOGRAPHY: Germany AUTHOR: Neha Davda

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Germany Patient Engagement Solutions Market Executive Summary

The Germany patient engagement solutions market is projected to grow from $622.57 Mn in 2022 to $1373.85 Mn by 2030, registering a CAGR of 10.4% during the forecast period of 2022 - 2030. In comparison to the EU average of $3812, Germany spent $4874.39 per person on healthcare in 2019. Germany also spends the greatest percentage of its GDP (11.7%) on healthcare when compared to other EU nations. Just 12.7% of people in the country pay for their own healthcare, which is significantly less than the majority of other EU countries. This is due to the fact that the majority of health spending in the EU is funded by public sources.

A patient engagement solution is a cloud-based platform that allows healthcare professionals to improve patient satisfaction. In Germany, there are now an increasing variety of patient engagement options available. They include apps for collecting health data and managing chronic illnesses, patient portals for obtaining health information and corresponding with healthcare professionals, and platforms for patient education and self-management. These innovations have the potential to raise overall healthcare quality while lowering costs and enhancing patient outcomes.

germany patient engagement solutions market analysis

Market Dynamics

Market Growth Drivers

The German patient engagement solutions market is expected to be driven by factors such as the growing adoption of digital health solutions, the increasing prevalence of chronic diseases, technological advancements, and government support. Further, with a growing focus on client engagement and empowerment, the German healthcare system is transitioning towards a more patient-centric approach. Government programs like the National Health Strategy 2020, which strives to enhance patient care and results by putting the patient at the center of healthcare, are the driving force behind this.

Market Restraints

Patient engagement solutions that rely on patient data will be constrained by Germany's stringent data protection and privacy laws. Patients might be reluctant to disclose their private medical data, particularly if they are unaware of its intended use or who will have access to it.

Competitive Landscape

Key Players

  • SAP Health (DEU)
  • Siemens Healthineers (DEU)
  • IBM
  • Mckesson
  • Oracle

Notable Deals

April 2021: Accenture and SAP entered into an extended partnership. Accenture and SAP intend to co-innovate and co-develop SAP's new solution for responsible production and design through this expanded partnership. This solution includes capabilities that assist businesses in integrating sustainability metrics throughout their value and supply chains, with an emphasis on product design and manufacturing.

Healthcare Policies and Regulatory Landscape

The Federal Institute for Drugs and Medical Devices (BfArM), which is in charge of approving medical devices, including patient engagement solutions, is one of Germany's most important regulatory organizations. Strict safety and efficacy requirements must be met for these solutions to be authorized for usage in Germany. The Federal Ministry of Health, which establishes rules and regulations for healthcare providers and manages the execution of healthcare projects, is another significant regulatory organization. The ministry has established patient engagement as a top priority area and has started a number of projects to spread patient engagement solutions across the nation.

Reimbursement Scenario

Reimbursement policies for patient engagement solutions in Germany differ based on the type of service and the healthcare provider. In Germany, health insurance companies often do not offer direct reimbursement for patient engagement solutions. Yet, some patient engagement strategies might receive indirect payment via disease management plans, which are intended to raise the standard of care for people with long-term illnesses. The Diagnostic Related Groups (DRG) system, which reimburses hospitals for the patient services they provide, is one of the main reimbursement policies in Germany. The DRG system reimburses hospitals depending on the patient's diagnosis and care.

1. Executive Summary
1.1 Service Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Healthcare Services Market in Country
1.6 Recent Developments in the Country

2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)

3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints

4. Competitive Landscape
4.1 Major Market Share

4.2 Key Company Profile (Check all Companies in the Summary Section)

4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)

5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Services
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Patient Engagement Solutions Market Segmentation

By component (Revenue, USD Billion):

  • Hardware
  • Software
  • Standalone Software
  • Integrated Software
  • Services

By Delivery Mode (Revenue, USD Billion):

  • PREMISE Mode
  • CLOUD-BASED Mode

By Application (Revenue, USD Billion):

  • Health Management
  • Home Health Management
  • Social
  • Financial Health Management

By Therapeutic area (Revenue, USD Billion):

  • Chronic Diseases
  • Cardiovascular Diseases (CVD)
  • Diabetes
  • Obesity
  • Other chronic Diseases
  • Women's Health
  • Fitness
  • Other Therapeutic Areas

By Functionality (Revenue, USD Billion):

  • E-Prescribing
  • Virtual Consultation
  • Patient/Client Scheduling
  • Document Management

By End-user (Revenue, USD Billion):

  • Providers
  • Payers
  • Patients
  • Other End users

Methodology for Database Creation

Our database offers a comprehensive list of healthcare centers, meticulously curated to provide detailed information on a wide range of specialties and services. It includes top-tier hospitals, clinics, and diagnostic facilities across 30 countries and 24 specialties, ensuring users can find the healthcare services they need.​

Additionally, we provide a comprehensive list of Key Opinion Leaders (KOLs) based on your requirements. Our curated list captures various crucial aspects of the KOLs, offering more than just general information. Whether you're looking to boost brand awareness, drive engagement, or launch a new product, our extensive list of KOLs ensures you have the right experts by your side. Covering 30 countries and 36 specialties, our database guarantees access to the best KOLs in the healthcare industry, supporting strategic decisions and enhancing your initiatives.

How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

With many years of experience in the healthcare field, we have our own rich proprietary data from various past projects. This historical data serves as the foundation for our database. Our continuous process of gathering data involves:

  • Analyzing historical proprietary data collected from multiple projects.
  • Regularly updating our existing data sets with new findings and trends.
  • Ensuring data consistency and accuracy through rigorous validation processes.

With extensive experience in the field, we have developed a proprietary GenAI-based technology that is uniquely tailored to our organization. This advanced technology enables us to scan a wide array of relevant information sources across the internet. Our data-gathering process includes:

  • Searching through academic conferences, published research, citations, and social media platforms
  • Collecting and compiling diverse data to build a comprehensive and detailed database
  • Continuously updating our database with new information to ensure its relevance and accuracy

2. Primary Research

To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:

  • Collaborating with local healthcare providers, hospitals, and clinics to gather real-time data.
  • Conducting surveys, interviews, and field studies to collect fresh data directly from the source.
  • Continuously refreshing our database to ensure that the information remains current and reliable.
  • Validating secondary data through cross-referencing with primary data to ensure accuracy and relevance.

Combining Secondary and Primary Research

By integrating both secondary and primary research methodologies, we ensure that our database is comprehensive, accurate, and up-to-date. The combined process involves:

  • Merging historical data from secondary research with real-time data from primary research.
  • Conducting thorough data validation and cleansing to remove inconsistencies and errors.
  • Organizing data into a structured format that is easily accessible and usable for various applications.
  • Continuously monitoring and updating the database to reflect the latest developments and trends in the healthcare field.

Through this meticulous process, we create a final database tailored to each region and domain within the healthcare industry. This approach ensures that our clients receive reliable and relevant data, empowering them to make informed decisions and drive innovation in their respective fields.

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Last updated on: 24 February 2023
Updated by: Anish Swaminathan

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