by According to Vision Research Report, during the forecast period of 2022 to 2030, the global Healthcare Software As A Service market is estimated to develop at a compound annual growth rate (CAGR) of 20.5%. The global Healthcare Software As A Service market was valued at USD 12.2 Billion in 2021, and it is predicted to exceed USD 60.7 Billion by 2030. The study investigates several elements and their consequences on the growth of the Healthcare Software As A Service market.
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Growth Factors
The growing adoption of cloud computing in the healthcare industry is driving the growth. Software as a Service (SaaS) is the largest service segment in the cloud computing industry. Healthcare providers and payers are rapidly adopting SaaS in the EHR systems, clinical information systems, remote patient monitoring systems, storage, archiving, PACS, population health management, revenue cycle management, analytics, patient-facing web, supply chain management, disaster recovery, and precision medicine.
The growing adoption of cloud technologies and growing digitalization in healthcare are major parameters driving the growth of the healthcare Software as a Service (SaaS) market during the forecast period. According to the Right Scale report published in 2019, a software service company, 94% of the enterprises use the cloud. It also suggests that around 21% of enterprises are planning to install cloud in near future.
Report Coverage
| Report Scope | Details |
| Market Size | US$ 60.7 billion by 2030 |
| Growth Rate | CAGR of 20.5% From 2022 to 2030 |
| Largest Market | North America |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segments Covered | Application, Deployment model, End user |
| Regional Scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Companies Mentioned | Microsoft; Salesforce; Adobe; SAP; Oracle; CISCO; Google; IBM; ServiceNow; Workday |
By Application Analysis
The patient portal segment held the highest revenue share of 17.1% in 2020. The rising adoption of patient portal software and the availability of a large number of patient portals and software are contributing to the high revenue share of the segment. Increasing demand for digital tools such as a portal for patient engagement is expected to drive the adoption of patient portals. For instance, according to an article published by DocASAP, 54% of the patients prefer digital tools over the phone for appointments reminders and communication.
The telemedicine segment is expected to register the fastest growth over the forecast period. High adoption of telemedicine during the COVID-19 pandemic and increasing preference for these services are the key contributing factors driving the growth of the segment.
By End-user Analysis
The provider segment held the largest revenue share of over 70% in 2020 and is estimated to be the fastest-growing segment during the forecast period, owing to the high adoption rate of cloud computing and software as a service technology, by hospitals.
Many hospitals are installing and updating digital technologies to cater to challenges such as shortage of skilled workforce and limited resources, thereby driving the growth. For instance, St. Thomas Elgin General Hospital from Canada implemented SaaS technology for medical imaging referral management, in November 2021.
The payer segment is estimated to witness lucrative growth during the forecast period. Health insurance companies have started adopting SaaS technology for various applications such as medical billing, ERP, and other portal systems.
By Deployment Model Analysis
The hybrid segment held the highest revenue share of 50.2% in the global healthcare software as a service market. It is attributed to the high adoption of hybrid SaaS by all industries, including healthcare as it offers a combination of public and private cloud.
The hybrid deployment model offers benefits, including flexibility to support a remote workforce, better security and data control at reduced costs, improved scalability, enhanced innovation, improved security, and easy risk management.
The public deployment model is estimated to witness lucrative growth during the forecast period. According to a study conducted by HIMMS in Germany, the majority of the hospitals in Germany use the public cloud.
By Regional Analysis
North America accounted for the highest revenue share of 47.7%. The high market presence of major players such as IBM, Google, SAP, and Microsoft in the U.S. and Canada is a major contributor to the high revenue share.
Asia Pacific is anticipated to witness the fastest CAGR during the forecast period, attributed to various initiatives undertaken by key stakeholders. For instance, in November 2021, Augnito.ai, an artificial intelligence-based voice solution provider, introduced The Big Diwali SaaS Fest to offer and promote digitalization for clinical documentation among doctors in India.
Key Players
- Microsoft
- Salesforce
- Adobe
- SAP
- Oracle
- CISCO
- IBM
- ServiceNow
- Workday
Market Segmentation
- By Application
- Patient Portal
- Telemedicine
- Mobile Communication
- ePrescribing
- EHR Systems
- ERP & HR Portal
- Medical Billing
- Others
- By Deployment Model
- Private
- Hybrid
- Public
- By End-use
- Provider
- Payers
- Regional
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Italy
- Spain
- Russia
- Asia Pacific
- Japan
- China
- India
- Australia
- South Korea
- Latin America
- Mexico
- Brazil
- Argentina
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
- North America
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 Distribution Channel 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 Software As A Service Market, By Application
7.1. Healthcare Software As A Service Market, by Application, 2021-2030
7.1.1. Patient Portal
7.1.1.1. Market Revenue and Forecast (2019-2030)
7.1.2. Telemedicine
7.1.2.1. Market Revenue and Forecast (2019-2030)
7.1.3. Mobile Communication
7.1.3.1. Market Revenue and Forecast (2019-2030)
7.1.4. ePrescribing
7.1.4.1. Market Revenue and Forecast (2019-2030)
7.1.5. EHR Systems
7.1.5.1. Market Revenue and Forecast (2019-2030)
7.1.6. ERP & HR Portal
7.1.6.1. Market Revenue and Forecast (2019-2030)
7.1.7. Medical Billing
7.1.7.1. Market Revenue and Forecast (2019-2030)
Chapter 8. Global Healthcare Software As A Service Market, By Deployment Model
8.1. Healthcare Software As A Service Market, by Deployment Model, 2021-2030
8.1.1. Private
8.1.1.1. Market Revenue and Forecast (2019-2030)
8.1.2. Hybrid
8.1.2.1. Market Revenue and Forecast (2019-2030)
8.1.3. Public
8.1.3.1. Market Revenue and Forecast (2019-2030)
Chapter 9. Global Healthcare Software As A Service Market, By End User
9.1. Healthcare Software As A Service Market, by End User, 2021-2030
9.1.1. Provider
9.1.1.1. Market Revenue and Forecast (2019-2030)
9.1.2. Payers
9.1.2.1. Market Revenue and Forecast (2019-2030)
Chapter 10. Global Healthcare Software As A Service Market, Regional Estimates and Trend Forecast
10.1. North America
10.1.1. Market Revenue and Forecast, by Application (2019-2030)
10.1.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.1.3. Market Revenue and Forecast, by End User (2019-2030)
10.1.4. U.S.
10.1.4.1. Market Revenue and Forecast, by Application (2019-2030)
10.1.4.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.1.4.3. Market Revenue and Forecast, by End User (2019-2030)
10.1.5. Rest of North America
10.1.5.1. Market Revenue and Forecast, by Application (2019-2030)
10.1.5.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.1.5.3. Market Revenue and Forecast, by End User (2019-2030)
10.2. Europe
10.2.1. Market Revenue and Forecast, by Application (2019-2030)
10.2.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.2.3. Market Revenue and Forecast, by End User (2019-2030)
10.2.4. UK
10.2.4.1. Market Revenue and Forecast, by Application (2019-2030)
10.2.4.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.2.4.3. Market Revenue and Forecast, by End User (2019-2030)
10.2.5. Germany
10.2.5.1. Market Revenue and Forecast, by Application (2019-2030)
10.2.5.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.2.5.3. Market Revenue and Forecast, by End User (2019-2030)
10.2.6. France
10.2.6.1. Market Revenue and Forecast, by Application (2019-2030)
10.2.6.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.2.6.3. Market Revenue and Forecast, by End User (2019-2030)
10.2.7. Rest of Europe
10.2.7.1. Market Revenue and Forecast, by Application (2019-2030)
10.2.7.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.2.7.3. Market Revenue and Forecast, by End User (2019-2030)
10.3. APAC
10.3.1. Market Revenue and Forecast, by Application (2019-2030)
10.3.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.3.3. Market Revenue and Forecast, by End User (2019-2030)
10.3.4. India
10.3.4.1. Market Revenue and Forecast, by Application (2019-2030)
10.3.4.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.3.4.3. Market Revenue and Forecast, by End User (2019-2030)
10.3.5. China
10.3.5.1. Market Revenue and Forecast, by Application (2019-2030)
10.3.5.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.3.5.3. Market Revenue and Forecast, by End User (2019-2030)
10.3.6. Japan
10.3.6.1. Market Revenue and Forecast, by Application (2019-2030)
10.3.6.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.3.6.3. Market Revenue and Forecast, by End User (2019-2030)
10.3.7. Rest of APAC
10.3.7.1. Market Revenue and Forecast, by Application (2019-2030)
10.3.7.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.3.7.3. Market Revenue and Forecast, by End User (2019-2030)
10.4. MEA
10.4.1. Market Revenue and Forecast, by Application (2019-2030)
10.4.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.4.3. Market Revenue and Forecast, by End User (2019-2030)
10.4.4. GCC
10.4.4.1. Market Revenue and Forecast, by Application (2019-2030)
10.4.4.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.4.4.3. Market Revenue and Forecast, by End User (2019-2030)
10.4.5. North Africa
10.4.5.1. Market Revenue and Forecast, by Application (2019-2030)
10.4.5.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.4.5.3. Market Revenue and Forecast, by End User (2019-2030)
10.4.6. South Africa
10.4.6.1. Market Revenue and Forecast, by Application (2019-2030)
10.4.6.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.4.6.3. Market Revenue and Forecast, by End User (2019-2030)
10.4.7. Rest of MEA
10.4.7.1. Market Revenue and Forecast, by Application (2019-2030)
10.4.7.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.4.7.3. Market Revenue and Forecast, by End User (2019-2030)
10.5. Latin America
10.5.1. Market Revenue and Forecast, by Application (2019-2030)
10.5.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.5.3. Market Revenue and Forecast, by End User (2019-2030)
10.5.4. Brazil
10.5.4.1. Market Revenue and Forecast, by Application (2019-2030)
10.5.4.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.5.4.3. Market Revenue and Forecast, by End User (2019-2030)
10.5.5. Rest of LATAM
10.5.5.1. Market Revenue and Forecast, by Application (2019-2030)
10.5.5.2. Market Revenue and Forecast, by Deployment Model (2019-2030)
10.5.5.3. Market Revenue and Forecast, by End User (2019-2030)
Chapter 11. Company Profiles
11.1. Microsoft
11.1.1. Company Overview
11.1.2. Product Offerings
11.1.3. Financial Performance
11.1.4. Recent Initiatives
11.2. Salesforce
11.2.1. Company Overview
11.2.2. Product Offerings
11.2.3. Financial Performance
11.2.4. Recent Initiatives
11.3. Adobe
11.3.1. Company Overview
11.3.2. Product Offerings
11.3.3. Financial Performance
11.3.4. Recent Initiatives
11.4. SAP
11.4.1. Company Overview
11.4.2. Product Offerings
11.4.3. Financial Performance
11.4.4. Recent Initiatives
11.5. Oracle
11.5.1. Company Overview
11.5.2. Product Offerings
11.5.3. Financial Performance
11.5.4. Recent Initiatives
11.6. CISCO
11.6.1. Company Overview
11.6.2. Product Offerings
11.6.3. Financial Performance
11.6.4. Recent Initiatives
11.7. Google
11.7.1. Company Overview
11.7.2. Product Offerings
11.7.3. Financial Performance
11.7.4. Recent Initiatives
11.8. IBM
11.8.1. Company Overview
11.8.2. Product Offerings
11.8.3. Financial Performance
11.8.4. Recent Initiatives
11.9. ServiceNow
11.9.1. Company Overview
11.9.2. Product Offerings
11.9.3. Financial Performance
11.9.4. Recent Initiatives
11.10. Workday
11.10.1. Company Overview
11.10.2. Product Offerings
11.10.3. Financial Performance
11.10.4. Recent Initiatives
Chapter 12. Research Methodology
12.1. Primary Research
12.2. Secondary Research
12.3. Assumptions
Chapter 13. Appendix
13.1. About Us
Glossary of Terms
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