헬스케어 분야 로봇 프로세스 자동화 시장 예측(-2030년) : 전개 모델별, 구성요소별, 운영별, 프로세스 유형별, 용도별, 최종사용자별, 지역별 세계 분석

According to Stratistics MRC, the Global Robotic Process Automation In Healthcare Market is accounted for $2.1 billion in 2024 and is expected to reach $7.8 billion by 2030, growing at a CAGR of 24.1% during the forecast period. Robotic Process Automation (RPA) in healthcare refers to the use of software robots to automate repetitive, rule-based tasks, improving efficiency and accuracy in administrative, clinical, and operational processes. RPA streamlines functions like patient scheduling, billing, claims processing, medical documentation, and inventory management. By reducing manual effort, RPA enhances productivity, minimizes errors, and enables healthcare providers to focus more on patient care while optimizing resource management and ensuring regulatory compliance.

According to a study cited by Blue & Co., LLC, processing a single insurance claim manually takes an average of 85 seconds, whereas RPA solutions can complete it in just 12 seconds.

Market Dynamics:

Driver:

Improved patient care

RPA technologies enable healthcare providers to automate routine administrative tasks, allowing medical professionals to dedicate more time to direct patient care. This automation reduces errors in data entry and processing, leading to more accurate patient records and improved treatment outcomes. RPA can streamline appointment scheduling, claims processing, and medication management, enhancing the overall patient experience. By automating repetitive tasks, healthcare staff can focus on more complex, patient-centric activities, leading to faster response times and personalized care, ultimately contributing to improved health outcomes and patient satisfaction.

Restraint:

High initial implementation costs

The upfront expenses associated with implementing RPA solutions, including software licenses, infrastructure upgrades, and staff training, can be substantial. Many healthcare organizations, particularly smaller clinics and hospitals, may find these costs prohibitive, delaying or preventing adoption. The complexity of integrating RPA with existing legacy systems in healthcare settings can further increase implementation costs. Additionally, the needs for specialized expertise to design, implement, and maintain RPA solutions add to the overall expense. These high initial costs can slow market growth, especially in regions or sectors with limited financial resources.

Opportunity:

Expansion into telemedicine

As telemedicine adoption accelerates, RPA can play a crucial role in streamlining virtual healthcare delivery. RPA can automate patient scheduling, pre-appointment questionnaires, and post-visit follow-ups, enhancing the efficiency of telehealth services. In telemedicine, RPA can facilitate seamless integration of patient data from various sources, ensuring healthcare providers have comprehensive information during virtual consultations. Automated chatbots powered by RPA can handle initial patient inquiries, triage cases, and provide basic health information, improving the scalability of telemedicine services. RPA can also assist in remote patient monitoring by automating data collection and analysis from wearable devices. This integration of RPA with telemedicine can lead to new service offerings, improved patient engagement, and expanded access to healthcare, driving market growth.

Threat:

Competition from AI-driven Solutions

As artificial intelligence technologies advance, they offer increasingly sophisticated capabilities that can potentially surpass traditional RPA in certain applications. AI-driven solutions can handle more complex, cognitive tasks and adapt to changing scenarios, potentially making them more attractive for healthcare organizations seeking comprehensive automation. The ability of AI to learn and improve over time may provide a competitive edge over rule-based RPA systems. Healthcare providers might opt for integrated AI solutions that offer both process automation and advanced analytics, potentially reducing the demand for standalone RPA products. The blurring lines between RPA and AI technologies could lead to market confusion and impact RPA adoption rates.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of RPA in healthcare. As healthcare systems faced unprecedented pressures, RPA provided crucial support in managing increased administrative workloads, patient data processing, and resource allocation. RPA solutions helped in automating COVID-19 testing workflows, patient screening, and vaccine distribution logistics. The crisis highlighted the importance of automation in enhancing healthcare system resilience and efficiency, driving long-term interest in RPA adoption across the sector.

The software segment is expected to be the largest during the forecast period

The software segment is anticipated to dominate the RPA in the healthcare market due to its central role in automating healthcare processes. RPA software provides the core functionality for automating repetitive tasks, data processing, and workflow management across various healthcare operations. The flexibility and scalability of RPA software allow healthcare organizations to customize solutions to their specific needs, from patient registration to claims processing. As healthcare providers increasingly recognize the benefits of automation, the demand for sophisticated RPA software solutions is growing. The continuous development of more advanced features, including AI integration and analytics capabilities, further drives the growth of this segment.

The data analytics and predictive modeling segment is expected to have the highest CAGR during the forecast period

The data analytics and predictive modeling segment is projected to experience the highest CAGR in the RPA in the healthcare market due to its potential to transform healthcare decision-making and patient care. RPA combined with advanced analytics capabilities enables healthcare providers to process and analyze vast amounts of patient data quickly and accurately. This integration supports predictive modeling for patient outcomes, resource allocation, and disease trends, enhancing proactive healthcare management. The growing emphasis on data-driven decision-making in healthcare is driving demand for RPA solutions with robust analytics features. These capabilities allow for improved population health management, personalized treatment plans, and early intervention strategies.

Region with largest share:

The North America region is anticipated to be the largest during the forecast period. The region has a well-established healthcare infrastructure and a high adoption rate of advanced technologies. Stringent regulatory requirements and the need for improved operational efficiency drive healthcare providers to implement RPA solutions. The presence of major RPA vendors and a robust ecosystem of healthcare IT companies contribute to market growth. Additionally, the region's focus on reducing healthcare costs and improving patient outcomes aligns well with the benefits offered by RPA. The increasing digitization of healthcare records and the push for interoperability in the U.S. healthcare system further fuel the demand for RPA solutions.

Region with highest CAGR:

The Asia Pacific region is expected to witness the highest CAGR in the RPA in Healthcare market due to several growth factors. Rapid digitalization of healthcare systems, particularly in countries like China and India, is creating opportunities for RPA adoption. The region's large and growing population, coupled with increasing healthcare expenditure, drives the need for efficient healthcare delivery systems. Government initiatives to modernize healthcare infrastructure and improve access to care are promoting the adoption of innovative technologies like RPA. The shortage of healthcare professionals in many Asian countries makes automation solutions particularly attractive. Additionally, the region's emerging economies are investing in healthcare IT infrastructure, creating a favorable environment for RPA implementation and contributing to the high growth rate in the Asia Pacific market.

Key players in the market

Some of the key players in Robotic Process Automation In Healthcare Market include UiPath, SS&C Blue Prism, Automation Anywhere, Pegasystems, NICE Systems, FeatSystems, EnterBridge, T-impact, Element5, CloudMedx, Microsoft, IBM, and Appian.

Key Developments:

In August 2024, Pegasystems Inc., the leading enterprise AI decisioning and workflow automation platform provider, announced it is expanding its relationship with Amazon Web Services (AWS). Pega is among the initial companies to reveal it will leverage the recently announced AWS European Sovereign Cloud to deliver the Pega EU Service Boundary - a solution that will help customers meet their most stringent digital sovereignty goals within the European Union (EU). The Pega EU Service Boundary is set to launch alongside the AWS European Sovereign Cloud at the end of 2025.

In March 2024, UiPath, a leading enterprise automation and AI software company, announced the general availability of UiPath Automation Cloud(TM) on Microsoft Azure in the UK, driven by high customer demand for local data residency and a growing need for AI and automation from UiPath. The expansion enables private and public-sector customers to strategically position their infrastructure, applications, and data to better comply with local data residency laws.

In May 2023, SS&C Technologies Holdings, Inc. has launched SS&C Blue Prism Process Intelligence 2.0, the next-generation AI-powered process and task mining solution. Powered by ABBYY Timeline 6.0, the solution accelerates process discovery and identification time by up to 80%. Integration with SS&C Blue Prism Chorus business process management (BPM) enables continuous process optimization and rapid scalability. The enhancements enable businesses to better manage and optimize processes for maximum business results.

Deployment Models Covered:

• On-Premises
• Cloud-Based
• Hybrid

Components Covered:

• Software
• Services

Operations Covered:

• Rule-Based
• Knowledge-Based

Process Types Covered:

• Administrative Processes
• Clinical Processes
• Operational Processes
• Compliance Processes

Applications Covered:

• Claims Processing
• Appointment Scheduling
• Billing and Revenue Cycle Management
• Workflow Automation
• Data Analytics and Predictive Modeling
• Patient Engagement
• Clinical Trial Management

End Users Covered:

• Healthcare Providers
• Healthcare Payers
• Pharmaceutical and Biotechnology Companies
• Research Institutions
• Diagnostic Centers

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 End User Analysis
• 3.7 Emerging Markets
• 3.8 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Robotic Process Automation In Healthcare Market, By Deployment Model

• 5.1 Introduction
• 5.2 On-Premises
• 5.3 Cloud-Based
• 5.4 Hybrid

6 Global Robotic Process Automation In Healthcare Market, By Component

• 6.1 Introduction
• 6.2 Software
• 6.3 Services
  • 6.3.1 Consulting Services
  • 6.3.2 Implementation Services
  • 6.3.3 Training and Support Services

7 Global Robotic Process Automation In Healthcare Market, By Operations

• 7.1 Introduction
• 7.2 Rule-Based
• 7.3 Knowledge-Based

8 Global Robotic Process Automation In Healthcare Market, By Process Type

• 8.1 Introduction
• 8.2 Administrative Processes
  • 8.2.1 Patient Registration
  • 8.2.2 Human Resources Management
• 8.3 Clinical Processes
  • 8.3.1 Medical Coding
  • 8.3.2 Clinical Documentation Improvement (CDI)
  • 8.3.3 Diagnostics Assistance
• 8.4 Operational Processes
  • 8.4.1 Supply Chain Management
  • 8.4.2 Inventory Control
  • 8.4.3 Performance Analytics
• 8.5 Compliance Processes
  • 8.5.1 Regulatory Reporting
  • 8.5.2 Audit Management

9 Global Robotic Process Automation In Healthcare Market, By Application

• 9.1 Introduction
• 9.2 Claims Processing
• 9.3 Appointment Scheduling
• 9.4 Billing and Revenue Cycle Management
• 9.5 Workflow Automation
• 9.6 Data Analytics and Predictive Modeling
• 9.7 Patient Engagement
• 9.8 Clinical Trial Management

10 Global Robotic Process Automation In Healthcare Market, By End User

• 10.1 Introduction
• 10.2 Healthcare Providers
  • 10.2.1 Hospitals
  • 10.2.2 Clinics and Ambulatory Care Centers
• 10.3 Healthcare Payers
• 10.4 Pharmaceutical and Biotechnology Companies
• 10.5 Research Institutions
• 10.6 Diagnostic Centers

11 Global Robotic Process Automation In Healthcare Market, By Geography

• 11.1 Introduction
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 Italy
  • 11.3.4 France
  • 11.3.5 Spain
  • 11.3.6 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 Japan
  • 11.4.2 China
  • 11.4.3 India
  • 11.4.4 Australia
  • 11.4.5 New Zealand
  • 11.4.6 South Korea
  • 11.4.7 Rest of Asia Pacific
• 11.5 South America
  • 11.5.1 Argentina
  • 11.5.2 Brazil
  • 11.5.3 Chile
  • 11.5.4 Rest of South America
• 11.6 Middle East & Africa
  • 11.6.1 Saudi Arabia
  • 11.6.2 UAE
  • 11.6.3 Qatar
  • 11.6.4 South Africa
  • 11.6.5 Rest of Middle East & Africa

12 Key Developments

• 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 12.2 Acquisitions & Mergers
• 12.3 New Product Launch
• 12.4 Expansions
• 12.5 Other Key Strategies

13 Company Profiling

• 13.1 UiPath
• 13.2 SS&C Blue Prism
• 13.3 Automation Anywhere
• 13.4 Pegasystems
• 13.5 NICE Systems
• 13.6 FeatSystems
• 13.7 EnterBridge
• 13.8 T-impact
• 13.9 Element5
• 13.10 CloudMedx
• 13.11 Microsoft
• 13.12 IBM
• 13.13 Appian