The global healthcare ERP market size is expected to reach around US$ 11.6 billion by 2030 and is expected to grow at an impressive double-digit rate of 5.96% from 2022 to 2030.
The study includes drivers and restraints of this market. The study provides an analysis of the global healthcare ERP market for the period 2017-2030, wherein 2022 to 2030 is the forecast period and 2021 is considered as the base year.
Report Highlights
- Based on the function, the patient relationship management is estimated to be the fastest-growing segment. This is attributed to the quality patient care and personalized services offered by the ERP systems that boosts and enhances the interaction between t5he clinicians and patients.
- Based on the deployment, the cloud is estimated to be the most opportunistic segment during the forecast period. The rising adoption of the cloud computing due to the conveniences associated with the storage, access, and transfer of the patient data over the internet is expected to boost the growth of this segment.
- Based on the end user, the hospitals segment dominated the market in 2020. This is attributable to the government and corporate investments to develop smart hospitals by equipping the hospitals with the latest and advanced technologies. The healthcare ERP is extensively used in the hospitals owing to the huge number of patients and higher number of hospital admissions across the globe.
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Report Scope of the Healthcare ERP Market
Report Coverage | Details |
Market Size by 2030 | USD 11.6 Billion |
Growth Rate from 2022 to 2030 | CAGR of 5.96% |
North America Market Share in 2021 | 35% |
On-premise Segment Market Share in 2021 | 80% |
Base Year | 2021 |
Forecast Period | 2022 to 2030 |
Market Dynamics
Driver
Rising prevalence of chronic diseases
According to the International Agency for Research on Cancer,around 28.4 million new cancer cases will be recorded in 2040, globally.According to the World Health Organization, the cardiovascular diseases results in around 17.9 million or 32% of the global deaths and it is a leading cause of death across the globe. As per the International Diabetes Federation, the global diabetic population is estimated to reach at 783 million by 2045. The increased prevalence of the diseases will generate huge volume of patient data along with the rising number of hospital admissions. To efficiently handle the patients and the patient-related data, the demand for the ERP systems is expected to rise in the forthcoming years.
Restraint
Lack of professional knowledge in handling the ERP systems
The lack of knowledge among the healthcare professionals in handling the healthcare ERP systems forces the healthcare units to adopt the third-party services, which results in increased cost. Thus, this is a major restraining factor that may hinder the growth of the market.
Opportunity
Rising adoption of the cloud computing
The cloud computing has gained rapid traction across the globe owing to the developed telecommunications and IT infrastructure. Moreover, the increasing penetration of the internet has fostered the adoption of the cloud computing based healthcare ERP systems that can store data on the cloud that is easily accessible through the internet.
Challenge
Data breach and cybersecurity
With rising adoption of the internet and the digital technologies, the threat of cyberattacks and data breach has significantly increased. The cyberattacks may cause a severe financial losses to the healthcare units. This is the major threat to the healthcare ERP market.
Research Methodology
A unique research methodology has been utilized to conduct comprehensive research on the growth of the global healthcare ERP market and arrive at conclusions on the future growth prospects of the market. This research methodology is a combination of primary and secondary research, which helps analysts warrant the accuracy and reliability of the draw conclusions. Secondary sources referred to by analysts during the production of the global market report include statistics from company annual reports, SEC filings, company websites, World Bank database, investor presentations, regulatory databases, government publications, and industry white papers. Analysts have also interviewed senior managers, product portfolio managers, CEOs, VPs, and market intelligence managers, who contributed to the production of our study on the market as a primary source.
These primary and secondary sources provided exclusive information during interviews, which serves as a validation from mattress topper industry leaders. Access to an extensive internal repository and external proprietary databases allows this report to address specific details and questions about the global healthcare ERP market with accuracy. The study also uses the top-down approach to assess the numbers for each segment and the bottom-up approach to counter-validate them. This has helped to estimates the future prospects of the global market more reliable and accurate.
Why should you invest in this report?
If you are aiming to enter the global healthcare ERP market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for healthcare ERP are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030, so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
Some of the prominent players in the global healthcare ERP market include:
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- McKesson Corporation
- Sage Group Plc.
- Infor, Inc.
- Odoo
- QAD, Inc.
- Aptean
- Epicor Software Corporation
Market Segmentation:
By Function
- Supply Chain & Logistics
- Finance & Billing
- Inventory Management
- Patient Relationship Management
- Others
By Deployment
- On Premise
- Cloud
By End User
- Hospitals
- Clinics
- Nursing Homes
- Others
Regional Analysis:
The geographical analysis of the global healthcare ERP market has been done for North America, Europe, Asia-Pacific, and the Rest of the World.
The North American Market is again segmented into the US, Canada, and Mexico. Coming to the European Market, it can be segmented further into the UK, Germany, France, Italy, Spain, and the rest. Coming to the Asia-Pacific, the global healthcare ERP Market is segmented into China, India, Japan, and Rest of Asia Pacific. Among others, the market is segmented into the Middle East and Africa, (GCC, North Africa, South Africa and Rest of the Middle East & Africa).
Key Questions Answered by the Report:
- What will be the size of the global healthcare ERP market in 2030?
- What is the expected CAGR for the healthcare ERP market between 2021 and 2030?
- Which are the top players active in this global market?
- What are the key drivers of this global market?
- How will the market situation change in the coming years?
- Which region held the highest market share in this global market?
- What are the common business tactics adopted by players?
- What is the growth outlook of the global healthcare ERP market?
TABLE OF CONTENT
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 Healthcare ERP Market
5.1. COVID-19 Landscape: Healthcare ERP 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 Healthcare ERP Market, By Function
8.1. Healthcare ERP Market, by Function Type, 2022-2030
8.1.1. Supply Chain & Logistics
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Finance & Billing
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Inventory Management
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Patient Relationship Management
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Others
8.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Healthcare ERP Market, By Deployment
9.1. Healthcare ERP Market, by Deployment, 2022-2030
9.1.1. On Premise
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Healthcare ERP Market, By End User
10.1. Healthcare ERP Market, by End User, 2022-2030
10.1.1. Hospitals
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Clinics
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Nursing Homes
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 Healthcare ERP Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Function (2017-2030)
11.1.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.3. Market Revenue and Forecast, by End User (2017-2030)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Function (2017-2030)
11.1.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.4.3. Market Revenue and Forecast, by End User (2017-2030)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Function (2017-2030)
11.1.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.5.3. Market Revenue and Forecast, by End User (2017-2030)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Function (2017-2030)
11.2.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.3. Market Revenue and Forecast, by End User (2017-2030)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Function (2017-2030)
11.2.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.4.3. Market Revenue and Forecast, by End User (2017-2030)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Function (2017-2030)
11.2.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.5.3. Market Revenue and Forecast, by End User (2017-2030)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Function (2017-2030)
11.2.6.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.6.3. Market Revenue and Forecast, by End User (2017-2030)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Function (2017-2030)
11.2.7.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.7.3. Market Revenue and Forecast, by End User (2017-2030)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Function (2017-2030)
11.3.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.3. Market Revenue and Forecast, by End User (2017-2030)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Function (2017-2030)
11.3.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.4.3. Market Revenue and Forecast, by End User (2017-2030)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Function (2017-2030)
11.3.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.5.3. Market Revenue and Forecast, by End User (2017-2030)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Function (2017-2030)
11.3.6.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.6.3. Market Revenue and Forecast, by End User (2017-2030)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Function (2017-2030)
11.3.7.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.7.3. Market Revenue and Forecast, by End User (2017-2030)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Function (2017-2030)
11.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.3. Market Revenue and Forecast, by End User (2017-2030)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Function (2017-2030)
11.4.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.4.3. Market Revenue and Forecast, by End User (2017-2030)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Function (2017-2030)
11.4.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.5.3. Market Revenue and Forecast, by End User (2017-2030)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Function (2017-2030)
11.4.6.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.6.3. Market Revenue and Forecast, by End User (2017-2030)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Function (2017-2030)
11.4.7.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.7.3. Market Revenue and Forecast, by End User (2017-2030)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Function (2017-2030)
11.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.3. Market Revenue and Forecast, by End User (2017-2030)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Function (2017-2030)
11.5.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.4.3. Market Revenue and Forecast, by End User (2017-2030)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Function (2017-2030)
11.5.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.5.3. Market Revenue and Forecast, by End User (2017-2030)
Chapter 12. Company Profiles
12.1. Microsoft Corporation
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Oracle Corporation
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. SAP SE
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. McKesson Corporation
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Sage Group Plc.
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Infor, Inc.
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Odoo
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. QAD, Inc.
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Aptean
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Epicor Software Corporation
12.10.1. Company Overview
12.10.2. Product 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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