Patient Referral Management Software Market Size, Growth, Trends | Report 2022-2030
The global patient referral management software market was surpassed at USD 7.02 billion in 2021 and is expected to hit around USD 36.22 billion by 2030, growing at a CAGR of 20.0% from 2022 to 2030.
Report Highlights
Some of the key factors driving the demand for patient referral software are the rising need for patient engagement, reduction in the likeliness of errors, decrease in administrative burden, and budgetary allocation for healthcare, especially in developing countries. Medical errors can result in tremendous losses in terms of finances and patient care. For instance, as per the Canadian Patient Safety Institute, medical errors account for approximately 28,000 deaths per year in Canada.
The business strategies undertaken by the players to strengthen their presence are fuelling the market growth. Collaborations between the market players and the healthcare providers, new product launches, technological advancements, and customization of patient referral software are expected to fuel market growth. For instance, companies such as Cerner Corporation and ReferralMD have come up with innovative features of providing patients with the flexibility of direct appointment booking. This provides the care coordinators with a platform that includes patient engagement solutions and also allows the patients and the healthcare providers to search for specialists and schedule appointments from the web portal.
The supportive government regulations to promote the adoption of healthcare IT solutions are boosting the penetration of medical referral software. For instance, the program "Healthy China 2030" seeks to increase health coverage and promotion of patient referral software. Moreover, the Ministry of Health in Argentina introduced a nationwide digital health network in April 2020 to enable care facilities to securely access patient data through standardized integration in order to enhance patient interactions. The initiative is likely to enable close to 45 million individuals to have access to free public healthcare.
Scope of The Report
| Report Coverage | Details |
| Market Size in 2021 | USD 7.02 billion |
| Revenue Forecast by 2030 | USD 36.22 billion |
| Growth rate from 2022 to 2030 | CAGR of 20.0% |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segmentation | Type, deployment mode, end-use, region |
| Companies Covered |
Allscripts Healthcare Solutions, Inc.; Athena Health; Cerner Corporation; Eceptionist, Inc.; Ehealth Technologies; Insync Healthcare |
Type Insights
The inbound segment accounted for the largest revenue share of over 75.05% in 2021 and is expected to expand at the fastest CAGR over the forecast period. The inbound referrals are received from multiple sources such as fax, emails, phone, and walk-ins in a single attempt. For instance, Referral MD software provides features such as incoming referrals, patient engagement tools, and direct patient scheduling. The helping analytical tools provide metrics of the patient’s ongoing process and historical data, which can be re-targeted in containing the patients, improving their satisfaction, and inviting new clients.
The growing need for reduced referral processing time, improved communication among healthcare providers, and digitalization is anticipated to drive the adoption of inbound referrals. Continuously bringing in new patients is important for increasing the revenue of medical practices. Building a trustworthy referral network is a great strategy to attract new clients in addition to advertising and networking with insurance companies. Referral patients are more satisfied and profitable than normal patients. It implies that a referral program should be a part of any medical practice's marketing plan toolkit. The most important advantage of a physician referral scheme is that it generates a steady flow of new patients.
Deployment Mode Insights
The cloud and web-based segment dominated the market with a revenue share of over 70.11% in 2021 and is likely to grow at the fastest rate over the forecast period owing to its flexible deployment and its ability to reduce the costs related to IT infrastructure. The referral marketing software uses phone applications and social communication tools that are easily collaborated with the cloud system. In addition, the increasing availability of cloud solutions is likely to drive the cloud and web-based segment in the market.
The cloud-based solutions provide on-demand self-serving insights, minimal upfront capital investment for hardware, and exceptional capacity flexibility, among others. This sector has witnessed rapid expansion. A database in cloud is a real-time database that synchronizes data to every connected client. The use of a cloud-based referral platform enables two-way communication among healthcare practitioners and the healthcare community. In August 2019, Researchers at Moorfields Eye Hospital developed a cloud-based solution in collaboration with Big Picture, which measures whether patients require referral to a hospital.
End-use Insights
In 2021, the providers segment held the largest share of over 50.23% owing to the growing burden of patient referrals. The healthcare providers attend to the majority of patients as they provide the first point of consultation for a range of general and specialized health issues. Therefore, providers hold a large pool of patients with them for referring to different hospitals and segments. In July 2020, ReferralMD collaborated with the Athena health marketplace initiative program to offer referral management and a patient access platform. This partnership provides ReferralMD with Athena’s health network of healthcare providers to easily engage with the patients.
The patients segment is anticipated to expand at the fastest CAGR of 20.7% over the forecast period. The rising geriatric population and an increase in the rate of chronic illnesses are driving the use of patient referral systems. The patients are evaluated by the healthcare providers on the basis of necessary diagnostic measures and then they are transferred to specialists depending on the care requirements.
Regional Insights
In 2021, North America dominated the market with a share of over 55.3% owing to rising technological advancements in healthcare IT and the growing adoption of patient referral software systems. The COVID-19 pandemic has sparked improvements in cloud computing and patient monitoring. For instance, in April 2020, GE Healthcare introduced a cutting-edge cloud-based remote monitoring solution that is designed to help doctors with COVID-19 patients. In addition, in June 2022, Think Research Corporation, a provider of healthcare software solutions based in Canada, announced that it has expanded its Ontario eReferral Program with Caredove. The eReferral interoperability is expected to help in connecting clinical users with more than 100 community support services and homes.
Asia Pacific is expected to grow at the fastest rate of 20.5% over the forecast period owing to a rapidly aging population base in the region, growing demand for affordable healthcare, and an increase in the prevalence of chronic diseases. In addition, the pandemic has fueled the demand for better patient management. Supportive government initiatives to boost the adoption of healthcare IT are likely to fuel growth. The referral system will aid in improving patient demands and developing the healthcare IT infrastructure in the region.
Key Players
Market Segmentation
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 Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Patient Referral Management Software Market
5.1. COVID-19 Landscape: Patient Referral Management Software Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Patient Referral Management Software Market, By Type
8.1. Patient Referral Management Software Market, by Type, 2022-2030
8.1.1 Inbound
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Outbound
8.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Patient Referral Management Software Market, By Deployment Mode
9.1. Patient Referral Management Software Market, by Deployment Mode, 2022-2030
9.1.1. Cloud & Web-based
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. On-premise
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Patient Referral Management Software Market, By End-use
10.1. Patient Referral Management Software Market, by End-use, 2022-2030
10.1.1. Providers
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Payers
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Patients
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Others
10.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Patient Referral Management Software Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Type (2017-2030)
11.1.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.1.3. Market Revenue and Forecast, by End-use (2017-2030)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Type (2017-2030)
11.1.4.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.1.4.3. Market Revenue and Forecast, by End-use (2017-2030)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Type (2017-2030)
11.1.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.1.5.3. Market Revenue and Forecast, by End-use (2017-2030)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Type (2017-2030)
11.2.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.2.3. Market Revenue and Forecast, by End-use (2017-2030)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Type (2017-2030)
11.2.4.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.2.4.3. Market Revenue and Forecast, by End-use (2017-2030)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Type (2017-2030)
11.2.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.2.5.3. Market Revenue and Forecast, by End-use (2017-2030)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Type (2017-2030)
11.2.6.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.2.6.3. Market Revenue and Forecast, by End-use (2017-2030)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Type (2017-2030)
11.2.7.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.2.7.3. Market Revenue and Forecast, by End-use (2017-2030)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Type (2017-2030)
11.3.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.3.3. Market Revenue and Forecast, by End-use (2017-2030)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Type (2017-2030)
11.3.4.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.3.4.3. Market Revenue and Forecast, by End-use (2017-2030)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Type (2017-2030)
11.3.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.3.5.3. Market Revenue and Forecast, by End-use (2017-2030)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Type (2017-2030)
11.3.6.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.3.6.3. Market Revenue and Forecast, by End-use (2017-2030)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Type (2017-2030)
11.3.7.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.3.7.3. Market Revenue and Forecast, by End-use (2017-2030)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Type (2017-2030)
11.4.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.4.3. Market Revenue and Forecast, by End-use (2017-2030)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Type (2017-2030)
11.4.4.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.4.4.3. Market Revenue and Forecast, by End-use (2017-2030)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Type (2017-2030)
11.4.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.4.5.3. Market Revenue and Forecast, by End-use (2017-2030)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Type (2017-2030)
11.4.6.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.4.6.3. Market Revenue and Forecast, by End-use (2017-2030)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Type (2017-2030)
11.4.7.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.4.7.3. Market Revenue and Forecast, by End-use (2017-2030)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Type (2017-2030)
11.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.5.3. Market Revenue and Forecast, by End-use (2017-2030)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Type (2017-2030)
11.5.4.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.5.4.3. Market Revenue and Forecast, by End-use (2017-2030)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Type (2017-2030)
11.5.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
11.5.5.3. Market Revenue and Forecast, by End-use (2017-2030)
Chapter 12. Company Profiles
12.1. Allscripts Healthcare Solutions, Inc.
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Athena Health
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Cerner Corporation
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Eceptionist, Inc.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Ehealth Technologies
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Insync Healthcare
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. 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
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers