Robotic Process Automation in Healthcare Market By Component (Software, Services, Implementation), Operations (Rule-based, Knowledge-based), Application (Claims Management, Clinical Documentation, Billing and Compliance Management), & Region for 2024-2031
Report ID: 58842|No. of Pages: 202
Robotic Process Automation in Healthcare Market Valuation – 2024-2031
The growing demand for robotic process automation (RPA) in the healthcare business stems from the need to improve operational efficiency and minimize administrative hassles. Healthcare firms are using RPA to automate repetitive and time-consuming operations including patient scheduling, billing, and claims processing. This automation enables healthcare personnel to focus on patient care rather than administrative tasks resulting in higher service quality and faster processing times by enabling the market to surpass a revenue of USD 1.28 Billion valued in 2024 and reach a valuation of around USD 2.04 Billion by 2031.
RPA helps to ensure regulatory compliance by providing precise and consistent data management, lowering the likelihood of errors associated with manual procedures. As healthcare organizations throughout the world focus more on digital transformation to improve patient outcomes and operational efficiency, RPA is becoming an essential tool by enabling the market to grow at a CAGR of 6% from 2024 to 2031.
Robotic Process Automation in Healthcare Market: Definition/ Overview
Robotic process automation (RPA) in healthcare is the use of software robots or “bots” to automate normal and repetitive operations, thereby reducing administrative and operational processes. Data entry, patient scheduling, billing, claims processing, and electronic health record management are all examples of such duties.
Robotic process automation (RPA) in healthcare is the use of software robots or “bots” to automate normal and repetitive operations, thereby reducing administrative and operational processes. Data entry, patient scheduling, billing, claims processing, and electronic health record management are all examples of such duties. By automating these repetitive activities, healthcare businesses can drastically minimize human error, increase efficiency, and save operating costs.
It is poised to improve healthcare by increasing operational efficiency and lowering administrative costs. In the future, RPA will automate a variety of regular processes including patient scheduling, invoicing, and claims processing. By automating these repetitive operations, healthcare practitioners can reduce errors and delays while providing more accurate and timely services.
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Will Improved Data Accuracy and Streamlined Workflows Drive the Robotic Process Automation in Healthcare Market?
Improved data accuracy and optimized workflows are important drivers of robotic process automation (RPA) in the healthcare market. According to a survey published by the Office of the National Coordinator for Health Information Technology (ONC), one in every ten patients who access their medical records online requests data changes. RPA can assist in reducing errors by automating data entry and validation operations.
Furthermore, research published in the Journal of the American Medical Informatics Association discovered that using RPA in a big hospital system resulted in a 90% reduction in processing time for key administrative activities like insurance verification and pre-authorization. The US Bureau of Labor Statistics predicts a 9% increase in medical records and health information technology employment between 2020 and 2030 indicating a growing demand for efficient data management technologies such as RPA.
Will the Infrastructure and Customization Issue Hamper the Robotic Process Automation in Healthcare Market?
Infrastructure and customization concerns pose significant challenges to the healthcare robotic process automation (RPA) sector. The integration of RPA technologies with current healthcare IT platforms is a common source of infrastructure problems. Many healthcare organizations use antiquated or fragmented IT systems implementing RPA solutions difficult and expensive. Furthermore, the lack of standardization across different healthcare platforms might make it challenging to ensure that RPA systems perform well across diverse environments.
Customization concerns worsen the RPA market’s challenges in healthcare. RPA systems frequently need to be customized to meet specific demands and workflows within a healthcare company. Customizing RPA solutions to meet different administrative processes, patient care regulations, and regulatory needs can be resource-intensive and time-consuming. Furthermore, the necessity for continuing maintenance and updates to suit changing healthcare standards and practices can tax resources and limit the scalability of RPA solutions.
Category-Wise Acumens
Will Accuracy and Cost Reduction in Healthcare Operations Drive Growth in the Component Segment?
Software is the dominant component as it automates repetitive and time-consuming operations. The software component of RPA solutions consists of tools and platforms for automating tasks like patient scheduling, claims processing, and data entry. The growing demand for efficiency, accuracy, and cost reduction in healthcare operations drives the adoption of RPA software. The software is also the foundation for integrating diverse healthcare systems and workflows making it an important investment sector.
While software dominates, the services segment which includes installation, support, and maintenance is equally important but secondary. Services are critical for ensuring that RPA software is seamlessly integrated with current systems and workflows. Implementation services assist with the customization and deployment of RPA solutions while support and maintenance services ensure that the software is functioning and up to date.
Will Minimizing Errors and Enhancing Operational Efficiency Drive the Application Segment?
Claims Management emerges as the dominant application. This dominance stems from the huge volume and complexity of claims processing in healthcare. Claims management automation provides considerable benefits in terms of faster processing, fewer errors, and increased operational efficiency. Automated systems can handle massive volumes of data, ensure proper claim submissions, and speed up reimbursements. This leads to significant cost reductions for both healthcare providers and payers making it a top priority for RPA implementation.
Billing and compliance management are other important applications of RPA in healthcare. This is owing to the necessity for exact billing methods and compliance with regulatory regulations which are both complex and time-consuming. RPA streamlines billing operations reduces manual entry errors, and ensures compliance with growing requirements.
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Country/Region-wise Acumens
Will the Established Infrastructure Drive the Market in the North American Region?
The North American region dominates the robotic process automation (RPA) in the healthcare market due to its established healthcare infrastructure and technological developments. This dominance arises from the region’s significant investment in healthcare information technology as well as the pressing need to increase operational efficiency in healthcare institutions. According to the Centers for Medicare & Medicaid Services (CMS), U.S. healthcare spending will total $4.1 trillion in 2020, accounting for 19.7% of the country’s GDP.
The need for value-based care models in North America is also driving RPA adoption. The United States Department of Health and Human Services (HHS) intends to tie 50% of Medicare payments to value-based care models by 2025. This transition needs better data management and administrative efficiency, two areas where RPA thrives. Furthermore, the COVID-19 epidemic has hastened digital change in healthcare. According to the American Hospital Association, 76% of hospitals in the United States will use or develop RPA systems by 2021, a significant rise from pre-pandemic levels.
Will the Increased Investment in Smart Technology and Rising Disposable Income Drive the Market in the Asia Pacific Region?
The Asia Pacific region is experiencing the greatest growth in robotic process automation (RPA) in the healthcare market owing to growing investment in smart technologies and rising disposable incomes. This rapid increase is driven by the region’s rapid technological adoption and rising demand for efficient healthcare services. The boom in smart technology investments in the Asia Pacific healthcare industry is a significant driver of RPA adoption.
According to the Asian Development Bank, healthcare spending in the region is expected to reach USD 2.4 Trillion by 2030 with a large chunk going toward digital health technologies. China, a prominent participant in the region has detailed plans to invest USD 1.4 Trillion in digital infrastructure between 2020 and 2025, according to the National Development and Reform. Rising disposable incomes in the region are also driving up healthcare spending and technological use. According to the World Bank, GDP per capita in East Asia and the Pacific increased from $10,110 in 2010 to $11,935 in 2020 showing an increasing capacity for healthcare expenditure. Furthermore, the COVID-19 pandemic has expedited the use of RPA in healthcare across Asia Pacific.
Competitive Landscape
The Robotic Process Automation in Healthcare Market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support. The organizations are focusing on innovating their product line to serve the vast population in diverse regions.
Some of the prominent players operating in the robotic process automation in the healthcare market include:
- UiPath
- Blue Prism
- Automation Anywhere
- Kofax
- WorkFusion
- Jidoka
- Kryon Systems
- EdgeVerve Systems
- PegaSystems
- Another Monday
Latest Developments
- In November 2023, qBotica, Inc., a leading provider of technology and automation solutions, made a strategic investment in Healthomation Inc., a healthcare automation company, to widen its portfolio of capabilities and increase its position in the healthcare sector. Healthomation, Inc. is at the cutting edge of healthcare process automation. This strategic cooperation brings together both organizations’ substantial and innovative skills to effect dramatic improvements in healthcare.
- In October 2023, LGI Healthcare Solutions, Inc. (LG), a Canadian leader in the development and implementation of healthcare IT solutions, announced that it had completed the acquisition of Boston Software Systems (BSS), a U.S.-based global provider of robotic process automation (RPA) solutions tailored to the healthcare industry’s specific challenges.
Report Scope
REPORT ATTRIBUTES | DETAILS |
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Study Period | 2021-2031 |
Growth Rate | CAGR of ~6% from 2024 to 2031 |
Base Year for Valuation | 2024 |
Historical Period | 2021-2023 |
Forecast Period | 2024-2031 |
Quantitative Units | Value in USD Billion |
Report Coverage | Historical and Forecast Revenue Forecast, Historical and Forecast Volume, Growth Factors, Trends, Competitive Landscape, Key Players, Segmentation Analysis |
Segments Covered |
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Regions Covered |
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Key Players | VendorProfiles, UiPath, Blue Prism, Automation Anywhere, Kofax, WorkFusion, Jidoka, Kryon Systems, EdgeVerve Systems, Pegasystems, and Another Monday. |
Customization | Report customization along with purchase available upon request |
Robotic Process Automation in Healthcare Market, By Category
Component:
- Software
- Services
- Implementation
- Support and Maintenance
- Training and Consulting
Operations:
- Rule-based
- Knowledge-based
Application:
- Claims Management
- Clinical Documentation
- Billing and Compliance Management
- Appointment Scheduling
- Workflow Management
Region:
- North America
- Europe
- Asia-Pacific
- South America
- Middle East & Africa
Research Methodology of Verified Market Research:
To know more about the Research Methodology and other aspects of the research study, kindly get in touch with our Sales Team at Verified Market Research.
Reasons to Purchase this Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
• 6-month post-sales analyst support
Customization of the Report
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Frequently Asked Questions
1 INTRODUCTION OF GLOBAL ROBOTIC PROCESS AUTOMATION IN HEALTHCARE MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources
4 GLOBAL ROBOTIC PROCESS AUTOMATION IN HEALTHCARE MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
5 GLOBAL ROBOTIC PROCESS AUTOMATION IN HEALTHCARE MARKET, BY COMPONENT
5.1 Overview
5.2 Software
5.3 Services
5.4 Implementation
5.5 Support and Maintenance
5.6 Training and Consulting
6 GLOBAL ROBOTIC PROCESS AUTOMATION IN HEALTHCARE MARKET, BY OPERATIONS
6.1 Overview
6.2 Rule-based
6.3 Knowledge-based
7 GLOBAL ROBOTIC PROCESS AUTOMATION IN HEALTHCARE MARKET, BY APPLICATION
7.1 Overview
7.2 Claims Management
7.3 Clinical Documentation
7.4 Billing and Compliance Management
7.5 Appointment Scheduling
7.6 Workflow Management
8 GLOBAL ROBOTIC PROCESS AUTOMATION IN HEALTHCARE MARKET, BY GEOGRAPHY
8.1 Overview
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 Germany
8.3.2 U.K.
8.3.3 France
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Rest of the World
8.5.1 South America
8.5.2 Middle East and Africa
9 GLOBAL ROBOTIC PROCESS AUTOMATION IN HEALTHCARE MARKET COMPETITIVE LANDSCAPE
9.1 Overview
9.2 Company Market Ranking
9.3 Key Development Strategies
10 COMPANY PROFILES
10.1 VendorProfiles
10.1.1 Overview
10.1.2 Financial Performance
10.1.3 Product Outlook
10.1.4 Key Developments
10.2 UiPath
10.2.1 Overview
10.2.2 Financial Performance
10.2.3 Product Outlook
10.2.4 Key Developments
10.3 Blue Prism
10.3.1 Overview
10.3.2 Financial Performance
10.3.3 Product Outlook
10.3.4 Key Developments
10.4 Automation Anywhere
10.4.1 Overview
10.4.2 Financial Performance
10.4.3 Product Outlook
10.4.4 Key Developments
10.5 Kofax
10.5.1 Overview
10.5.2 Financial Performance
10.5.3 Product Outlook
10.5.4 Key Developments
10.6 WorkFusion
10.6.1 Overview
10.6.2 Financial Performance
10.6.3 Product Outlook
10.6.4 Key Developments
10.7 Jidoka
10.7.1 Overview
10.7.2 Financial Performance
10.7.3 Product Outlook
10.7.4 Key Developments
10.8 Kryon Systems
10.8.1 Overview
10.8.2 Financial Performance
10.8.3 Product Outlook
10.8.4 Key Developments
10.9 EdgeVerve Systems
10.9.1 Overview
10.9.2 Financial Performance
10.9.3 Product Outlook
10.9.4 Key Developments
10.10 Pega Systems
10.10.1 Overview
10.10.2 Financial Performance
10.10.3 Product Outlook
10.10.4 Key Developments
10.11 Another Monday
10.11.1 Overview
10.11.2 Financial Performance
10.11.3 Product Outlook
10.11.4 Key Developments
11 Appendix
11.1 Related Research
Report Research Methodology
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Verified Market Research uses the latest researching tools to offer accurate data insights. Our experts deliver the best research reports that have revenue generating recommendations. Analysts carry out extensive research using both top-down and bottom up methods. This helps in exploring the market from different dimensions.
This additionally supports the market researchers in segmenting different segments of the market for analysing them individually.
We appoint data triangulation strategies to explore different areas of the market. This way, we ensure that all our clients get reliable insights associated with the market. Different elements of research methodology appointed by our experts include:
Exploratory data mining
Market is filled with data. All the data is collected in raw format that undergoes a strict filtering system to ensure that only the required data is left behind. The leftover data is properly validated and its authenticity (of source) is checked before using it further. We also collect and mix the data from our previous market research reports.
All the previous reports are stored in our large in-house data repository. Also, the experts gather reliable information from the paid databases.
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For understanding the entire market landscape, we need to get details about the past and ongoing trends also. To achieve this, we collect data from different members of the market (distributors and suppliers) along with government websites.
Last piece of the ‘market research’ puzzle is done by going through the data collected from questionnaires, journals and surveys. VMR analysts also give emphasis to different industry dynamics such as market drivers, restraints and monetary trends. As a result, the final set of collected data is a combination of different forms of raw statistics. All of this data is carved into usable information by putting it through authentication procedures and by using best in-class cross-validation techniques.
Data Collection Matrix
Perspective | Primary Research | Secondary Research |
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Demand side |
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Econometrics and data visualization model
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Our analysts offer market evaluations and forecasts using the industry-first simulation models. They utilize the BI-enabled dashboard to deliver real-time market statistics. With the help of embedded analytics, the clients can get details associated with brand analysis. They can also use the online reporting software to understand the different key performance indicators.
All the research models are customized to the prerequisites shared by the global clients.
The collected data includes market dynamics, technology landscape, application development and pricing trends. All of this is fed to the research model which then churns out the relevant data for market study.
Our market research experts offer both short-term (econometric models) and long-term analysis (technology market model) of the market in the same report. This way, the clients can achieve all their goals along with jumping on the emerging opportunities. Technological advancements, new product launches and money flow of the market is compared in different cases to showcase their impacts over the forecasted period.
Analysts use correlation, regression and time series analysis to deliver reliable business insights. Our experienced team of professionals diffuse the technology landscape, regulatory frameworks, economic outlook and business principles to share the details of external factors on the market under investigation.
Different demographics are analyzed individually to give appropriate details about the market. After this, all the region-wise data is joined together to serve the clients with glo-cal perspective. We ensure that all the data is accurate and all the actionable recommendations can be achieved in record time. We work with our clients in every step of the work, from exploring the market to implementing business plans. We largely focus on the following parameters for forecasting about the market under lens:
- Market drivers and restraints, along with their current and expected impact
- Raw material scenario and supply v/s price trends
- Regulatory scenario and expected developments
- Current capacity and expected capacity additions up to 2027
We assign different weights to the above parameters. This way, we are empowered to quantify their impact on the market’s momentum. Further, it helps us in delivering the evidence related to market growth rates.
Primary validation
The last step of the report making revolves around forecasting of the market. Exhaustive interviews of the industry experts and decision makers of the esteemed organizations are taken to validate the findings of our experts.
The assumptions that are made to obtain the statistics and data elements are cross-checked by interviewing managers over F2F discussions as well as over phone calls.
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Different members of the market’s value chain such as suppliers, distributors, vendors and end consumers are also approached to deliver an unbiased market picture. All the interviews are conducted across the globe. There is no language barrier due to our experienced and multi-lingual team of professionals. Interviews have the capability to offer critical insights about the market. Current business scenarios and future market expectations escalate the quality of our five-star rated market research reports. Our highly trained team use the primary research with Key Industry Participants (KIPs) for validating the market forecasts:
- Established market players
- Raw data suppliers
- Network participants such as distributors
- End consumers
The aims of doing primary research are:
- Verifying the collected data in terms of accuracy and reliability.
- To understand the ongoing market trends and to foresee the future market growth patterns.
Industry Analysis Matrix
Qualitative analysis | Quantitative analysis |
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