Robotic Process Automation in Healthcare Market (By Solution: Software, Services, Implementation, Support and Maintenance, Training and Consulting; By Operations: Rule-based Operation, Knowledge-based Operation; By Application: Claims Management, Claims Management, Billing and Compliance Management, Appointment Scheduling, Workflow Management) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032
The global robotic process automation in healthcare market size was evaluated at USD 1.4 billion in 2022 and is expected to hit around USD 14.18 billion by 2032 with a registered CAGR of 26.1% from 2023 to 2032.
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Robotic process automation (RPA) is a type of automation that makes use of software to do backend tasks that would often be performed by humans, including completing forms, extracting data, and transferring files. To connect and perform monotonous operations across corporate and productivity apps, it mixes APIs as well as user interface interactions. RPA solutions use scripts that simulate human operations to execute a variety of jobs, activities, and transactions through not linked software platforms.
RPA frequently automates decisions on the basis of pre-established rules and circumstances using a business rules solution. Additionally, it automates processes using logic and structured data. RPA has the characteristics to manage unstructured data, but only when a bot gathers the data and converts it to structured data using techniques like character recognition as well as natural language processing. Intelligent automation often referred to as cognitive automation, is made when an RPA system and AI are coupled. This type of automation typically employs bots in an effort to closely match human skills and activities. In the healthcare industry, there are a lot of delicate client interactions as well as time-consuming, boring labor and administrative responsibilities that don't require specialized expertise. RPA may automate tasks for the whole company, from front-end office duties to operational procedures to patient involvement and bill collection.
The worldwide pandemic has had an effect on business operations both inside and outside. Healthcare facilities were being overburdened by the increased number of Covid-19 cases, while business was falling in the retail, manufacturing, and IT & Telecom industries. Both the front-end and back-end office operations were impacted by this rare occurrence, which resulted in things like extended response times, worker fatigue, a backlog of documents, and disruptions in the distribution network, among other things. An automated solution must be used in order to save costs, expedite customer service, and make testing and reporting easier. Additionally, COVID-19 has increased the demand for a digital workplace across industries, opening up additional opportunities for RPA suppliers to gain market share. After the pandemic, employment will likely be determined by automation as businesses go through structural changes and more people work from home. The benefits of using RPA during a recession brought on by a pandemic are anticipated to boost demand for the technology following the epidemic and propel market expansion.
The handling of claims and patient scheduling are only two examples of the numerous taxing activities and tight restrictions that healthcare systems involve. This causes inefficiencies, expensive operating expenses, and sluggish procedures. Healthcare practitioners may solve these problems, speed up healthcare operations, increase patient satisfaction overall, and make healthcare systems more efficient by utilizing automation and RPA. Treatment providers may avoid expensive, time-consuming digital transformation implementation projects with automation and quick implementation projects, made possible by RPA and intelligent automation. This allows them to focus more resources on providing healthcare. The market is expanding as a result of all these factors.
Report Coverage | Details |
Market Size in 2023 | USD 1.76 Billion |
Market Size by 2032 | USD 14.18 Billion |
Growth Rate from 2023 to 2032 | CAGR of 26.1% |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Segments Covered |
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Regions Covered |
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Key Market Drivers
Robotic process automation is becoming more prevalent in healthcare
RPA in healthcare industry to grow, driven by AI, algorithms, and cloud adoption
Key Market Challenges
Key Market Opportunities
Growth in innovations in RPA to accommodate changing consumer demands
The increasing need to manage unstructured data
Due to its wide range of applications, the software sector led the worldwide market in 2022, and this trend is anticipated to continue over the coming years. Recently, the Asia Pacific area has emerged as a major worldwide center for this software and services as a result of rising urbanization and technological innovation. Due to rising client awareness, consulting services now represent the bulk of the market value. Organizations in emerging markets are now looking for technological options that are more affordable. Therefore, the most in-demand service category is consulting services that inform firms about robotic process automation.
The second-largest service sector is training stakeholders in the technical skill set needed to properly employ robotic process automation. Organizations are spending more money on training and developing industry 4.0 skill sets to increase employee productivity and, therefore, income. Throughout the projected period, it is anticipated that the training sector will continue to hold the second-largest service segment position.
The market is divided into Rule-based and Knowledge-based segments depending on operations. A new foundation for effective decision-making in the logistics and warehousing sectors is provided by knowledge-based operations. By providing interactive monitoring and hybrid technique-based flow optimization for logistical tasks, it empowers users.
The segment's greatest contribution to the worldwide market in 2022 was clinical documentation, billing, and workflow management, and it is very expected that this trend will persist over the forecast period. At every healthcare company, managing routine workflow encompasses a number of activities, including but not limited to patient care, inventory management, follow-ups, resource use, and much more. It is undoubtedly a time-consuming, error-prone, and ineffective strategy to manage them all manually. By automating these fundamental operations, resources will be used more effectively and attention will be paid to crucial tasks.
In recent years, other applications have developed and grown rapidly in South Asian nations, attracting the attention of several American and European MNCs. Without human participation, the appointment scheduling procedure is made quick and easy by automating it. Customers feel appreciated and significant when they receive timely notifications and are reminded of their appointments. To prevent misunderstanding and inconvenience, any modifications to the timetable caused by the doctor's absence can also be promptly communicated. Consequently, it is expanding quickly within the predicted period.
Due to the growing implementation of sophisticated, self-regulatory technologies like AI and machine learning, North America is anticipated to have the biggest market share in the worldwide robotic process automation in the healthcare market throughout the course of the projected period. In order to motivate private healthcare companies to implement automated solutions for efficient workflow, the US government is sponsoring and running initiatives.
For instance, the US government implemented new RPA initiatives that resulted in the creation of 1,000 robotic automation solutions and the release of 1.5 million hours of capacity. The growing use of automation software, procedures, and solutions by businesses and government organizations in this area support market expansion. In order to better serve American citizens, the US Federal government allotted a budget in March 2019 that supports the deployment of RPA and AI.
Segments Covered in the Report
By Solution
By Operations
By Application
By Geography
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 Robotic Process Automation In Healthcare Market
5.1. COVID-19 Landscape: Robotic Process Automation In Healthcare 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 Robotic Process Automation In Healthcare Market, By Solution
8.1. Robotic Process Automation In Healthcare Market, by Solution, 2023-2032
8.1.1 Software
8.1.1.1. Market Revenue and Forecast (2021-2032)
8.1.2. Services
8.1.2.1. Market Revenue and Forecast (2021-2032)
8.1.3. Implementation
8.1.3.1. Market Revenue and Forecast (2021-2032)
8.1.4. Support and Maintenance
8.1.4.1. Market Revenue and Forecast (2021-2032)
8.1.5. Training and Consulting
8.1.5.1. Market Revenue and Forecast (2021-2032)
Chapter 9. Global Robotic Process Automation In Healthcare Market, By Operations
9.1. Robotic Process Automation In Healthcare Market, by Operations, 2023-2032
9.1.1. Rule-based Operation
9.1.1.1. Market Revenue and Forecast (2021-2032)
9.1.2. Knowledge-based Operation
9.1.2.1. Market Revenue and Forecast (2021-2032)
Chapter 10. Global Robotic Process Automation In Healthcare Market, By Application
10.1. Robotic Process Automation In Healthcare Market, by Application, 2023-2032
10.1.1. Claims Management
10.1.1.1. Market Revenue and Forecast (2021-2032)
10.1.2. Clinical Documentation
10.1.2.1. Market Revenue and Forecast (2021-2032)
10.1.3. Billing and Compliance Management
10.1.3.1. Market Revenue and Forecast (2021-2032)
10.1.4. Appointment Scheduling
10.1.4.1. Market Revenue and Forecast (2021-2032)
10.1.5. Workflow Management
10.1.5.1. Market Revenue and Forecast (2021-2032)
Chapter 11. Global Robotic Process Automation In Healthcare Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Solution (2021-2032)
11.1.2. Market Revenue and Forecast, by Operations (2021-2032)
11.1.3. Market Revenue and Forecast, by Application (2021-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Solution (2021-2032)
11.1.4.2. Market Revenue and Forecast, by Operations (2021-2032)
11.1.4.3. Market Revenue and Forecast, by Application (2021-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Solution (2021-2032)
11.1.5.2. Market Revenue and Forecast, by Operations (2021-2032)
11.1.5.3. Market Revenue and Forecast, by Application (2021-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Solution (2021-2032)
11.2.2. Market Revenue and Forecast, by Operations (2021-2032)
11.2.3. Market Revenue and Forecast, by Application (2021-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Solution (2021-2032)
11.2.4.2. Market Revenue and Forecast, by Operations (2021-2032)
11.2.4.3. Market Revenue and Forecast, by Application (2021-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Solution (2021-2032)
11.2.5.2. Market Revenue and Forecast, by Operations (2021-2032)
11.2.5.3. Market Revenue and Forecast, by Application (2021-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Solution (2021-2032)
11.2.6.2. Market Revenue and Forecast, by Operations (2021-2032)
11.2.6.3. Market Revenue and Forecast, by Application (2021-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Solution (2021-2032)
11.2.7.2. Market Revenue and Forecast, by Operations (2021-2032)
11.2.7.3. Market Revenue and Forecast, by Application (2021-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Solution (2021-2032)
11.3.2. Market Revenue and Forecast, by Operations (2021-2032)
11.3.3. Market Revenue and Forecast, by Application (2021-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Solution (2021-2032)
11.3.4.2. Market Revenue and Forecast, by Operations (2021-2032)
11.3.4.3. Market Revenue and Forecast, by Application (2021-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Solution (2021-2032)
11.3.5.2. Market Revenue and Forecast, by Operations (2021-2032)
11.3.5.3. Market Revenue and Forecast, by Application (2021-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Solution (2021-2032)
11.3.6.2. Market Revenue and Forecast, by Operations (2021-2032)
11.3.6.3. Market Revenue and Forecast, by Application (2021-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Solution (2021-2032)
11.3.7.2. Market Revenue and Forecast, by Operations (2021-2032)
11.3.7.3. Market Revenue and Forecast, by Application (2021-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Solution (2021-2032)
11.4.2. Market Revenue and Forecast, by Operations (2021-2032)
11.4.3. Market Revenue and Forecast, by Application (2021-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Solution (2021-2032)
11.4.4.2. Market Revenue and Forecast, by Operations (2021-2032)
11.4.4.3. Market Revenue and Forecast, by Application (2021-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Solution (2021-2032)
11.4.5.2. Market Revenue and Forecast, by Operations (2021-2032)
11.4.5.3. Market Revenue and Forecast, by Application (2021-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Solution (2021-2032)
11.4.6.2. Market Revenue and Forecast, by Operations (2021-2032)
11.4.6.3. Market Revenue and Forecast, by Application (2021-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Solution (2021-2032)
11.4.7.2. Market Revenue and Forecast, by Operations (2021-2032)
11.4.7.3. Market Revenue and Forecast, by Application (2021-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Solution (2021-2032)
11.5.2. Market Revenue and Forecast, by Operations (2021-2032)
11.5.3. Market Revenue and Forecast, by Application (2021-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Solution (2021-2032)
11.5.4.2. Market Revenue and Forecast, by Operations (2021-2032)
11.5.4.3. Market Revenue and Forecast, by Application (2021-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Solution (2021-2032)
11.5.5.2. Market Revenue and Forecast, by Operations (2021-2032)
11.5.5.3. Market Revenue and Forecast, by Application (2021-2032)
Chapter 12. Company Profiles
12.1. Blue Prism
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. UiPath
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Automation Anywhere
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Kofax
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Jidoka
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Kryon Systems
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. EdgeVerve Systems
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. PegaSystems
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Another Monday
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. 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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