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市场调查报告书
商品编码
1558325

到 2030 年医疗保健市场的机器人流程自动化预测：按部署模型、组件、业务、流程类型、应用程式、最终用户和地区进行的全球分析

Robotic Process Automation in Healthcare Market Forecasts to 2030 - Global Analysis By Deployment Model (On-Premises, Cloud-Based and Hybrid), Component (Software and Services), Operations, Process Type, Application, End User and Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2024 年全球医疗保健机器人流程自动化市场规模将达到 21 亿美元，预计到 2030 年将达到 78 亿美元，预测期内复合年增长率为 24.1%。

医疗保健领域的机器人流程自动化 (RPA) 是指使用软体机器人自动执行重复性、基于规则的任务，以提高管理、临床和业务流程的效率和准确性。 RPA 简化了病患安排、申请、申请处理、医疗文件和库存管理等功能。透过减少手动任务，RPA 提高了工作效率并最大限度地减少了错误，使医疗保健提供者能够更多地关注患者照护，同时优化资源管理并确保法规遵从性。

根据 Blue &Co., LLC 引用的研究，手动处理单一保险申请平均需要 85 秒，而 RPA 解决方案只需 12 秒。

改善患者照护

RPA 技术使医疗保健提供者能够自动化日常管理业务，使医疗保健专业人员能够花更多时间直接照顾患者。这种自动化减少了资料输入和处理错误，从而获得更准确的患者记录并改善治疗结果。 RPA 可以简化预约安排、申请、药物管理，并改善整体患者体验。自动化重复性任务使医护人员能够专注于更复杂、以患者为中心的活动，从而实现更快的回应和个人化护理，最终有助于改善健康结果和患者满意度。

初始实施成本高

实施 RPA 解决方案相关的初始成本可能很高，包括软体许可证、基础设施升级和员工培训。对于许多医疗机构，尤其是小型诊所和医院来说，这些成本可能很高且缓慢，甚至阻碍了实施。此外，将 RPA 与现有旧有系统整合的复杂性可能会进一步增加实施成本。此外，RPA 解决方案需要专业知识来设计、实施和维护，从而增加了整体成本。这些高昂的初始成本可能会减缓市场成长，特别是在财政资源有限的地区和产业。

扩展到远端医疗

随着远端医疗采用的加速，RPA 可以在简化虚拟医疗保健服务方面发挥关键作用。 RPA 可以自动化患者安排、访视前问捲和访视后随访，从而提高远端医疗服务的效率。在远端医疗中，RPA 有助于无缝整合各种来源的患者资料，使医疗保健提供者能够在虚拟就诊期间获得全面的资讯。由 RPA 支援的自动化聊天机器人可以处理初始患者询问、对病例进行分类、提供基本健康资讯并提高远端医疗服务的可扩展性。 RPA 还可以透过从穿戴式装置自动收集和分析资料来协助远端患者监护。 RPA 和远端医疗的整合可以透过提供新服务、提高病人参与和扩大医疗保健覆盖范围来推动市场成长。

与人工智慧驱动的解决方案的竞争

随着人工智慧技术的进步，越来越多的应用程式正在提供可能超越传统 RPA 的先进功能。人工智慧驱动的解决方案可以处理更复杂的认知任务并适应不断变化的场景，这使得它们对于寻求全面自动化的医疗保健组织来说可能更具吸引力。人工智慧随着时间的推移学习和改进的能力可以提供比基于规则的 RPA 系统的竞争优势。医疗保健提供者可能会选择提供流程自动化和进阶分析的整合人工智慧解决方案，从而可能减少对独立 RPA 产品的需求。 RPA 和人工智慧技术之间的界线变得模糊，可能会混淆市场并影响 RPA 采用率。

COVID-19 的影响：

COVID-19 大流行加速了 RPA 在医疗保健领域的采用。由于医疗保健系统面临前所未有的压力，RPA 在管理增加的行政业务、病患资料处理和资源分配方面提供了关键支援。 RPA 解决方案可协助实现 COVID-19 测试工作流程、病患筛检和疫苗配送物流的自动化。这场危机凸显了自动化在提高医疗保健系统的弹性和效率方面的重要性，并激发了整个产业对采用 RPA 的长期兴趣。

预计软体产业在预测期内将是最大的产业

软体产业预计将主导医疗保健领域的 RPA 市场，因为它在自动化医疗保健流程中发挥核心作用。 RPA 软体提供了在各种医疗保健业务中自动执行重复任务、资料处理和工作流程管理的核心功能。 RPA 软体的灵活性和扩充性使医疗保健组织能够根据其特定需求量身定制解决方案，从患者登记到申请处理。随着医疗保健提供者越来越认识到自动化的好处，对先进 RPA 软体解决方案的需求不断增加。人工智慧整合和分析功能等更先进功能的持续开发正在进一步推动该细分市场的成长。

资料分析和预测建模产业预计在预测期内复合年增长率最高

资料分析和预测建模领域预计将在医疗保健市场的 RPA 中实现最高的复合年增长率，因为它有潜力改变医疗保健决策和患者照护。将 RPA 与高级分析功能相结合，使医疗保健提供者能够快速、准确地处理和分析大量患者资料。这种整合支援对患者结果、资源分配和疾病趋势进行预测建模，以增强主动的医疗保健管理。医疗保健领域对资料主导决策的日益重视正在推动对具有强大分析功能的 RPA 解决方案的需求。这些功能可以改善人口健康管理、个人化治疗计划和早期疗育策略。

比最大的地区

预计北美地区在预测期内将占据最大份额。该地区拥有完善的医疗基础设施和先进技术的高采用率。严格的监管要求和对业务效率的需求正在推动医疗保健提供者采用 RPA 解决方案。领先的 RPA 供应商和强大的医疗保健 IT 公司生态系统的存在正在促进市场成长。此外，该地区对降低医疗成本和改善患者治疗效果的关注与 RPA 提供的优势是一致的。医疗记录的日益数位化和美国医疗保健系统互通性的推动进一步推动了对 RPA 解决方案的需求。

复合年增长率最高的地区：

由于多种成长要素，预计亚太地区的 RPA 市场复合年增长率最高。医疗保健系统的快速数位化，特别是在中国和印度等国家，正在为 RPA 的实施创造机会。该地区不断增长的人口和不断上升的医疗保健成本增加了对高效医疗保健服务系统的需求。政府致力于实现医疗基础设施现代化和改善医疗服务的可近性，正在推动 RPA 等创新技术的采用。许多亚洲国家医疗保健专业人员的短缺使得自动化解决方案特别有吸引力。此外，该地区新兴经济体正在投资医疗IT基础设施，为RPA实施创造有利环境，为亚太市场的高成长率做出贡献。

提供免费客製化

订阅此报告的客户将收到以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章医疗保健市场中的全球机器人流程自动化：按部署模型

  • 本地
  • 云端基础
  • 混合

第六章全球医疗保健市场机器人流程自动化：按组成部分

  • 软体
  • 服务
    • 咨询服务
    • 实施服务
    • 培训和支援服务

第七章全球医疗保健市场机器人流程自动化：依营运划分

  • 规则库
  • 知识库

第八章医疗保健市场中的全球机器人流程自动化：按流程类型

  • 管理流程
    • 病人登记
    • 人力资源管理
  • 临床过程
    • 医疗编码
    • 临床文件改进 (CDI)
    • 诊断支持
  • 操作流程
    • 供应链管理
    • 库存管理
    • 绩效分析
  • 合规流程
    • 监管报告
    • 审核管理

第九章全球医疗保健市场机器人流程自动化：按应用分类

  • 申请处理
  • 预约时间表
  • 申请和收益周期管理
  • 工作流程自动化
  • 资料分析和预测建模
  • 病人参与
  • 临床试验管理

第 10 章 医疗保健市场中的全球机器人流程自动化：按最终用户分类

  • 医疗服务提供方
    • 医院
    • 诊所及门诊护理中心
  • 医疗保健付款人
  • 製药和生物技术公司
  • 研究所
  • 诊断中心

第十一章全球医疗保健市场机器人流程自动化：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十二章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章 公司概况

  • UiPath
  • SS&C Blue Prism
  • Automation Anywhere
  • Pegasystems
  • NICE Systems
  • FeatSystems
  • EnterBridge
  • T-impact
  • Element5
  • CloudMedx
  • Microsoft
  • IBM
  • Appian
Product Code: SMRC27196

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

List of Tables

  • Table 1 Global Robotic Process Automation In Healthcare Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Robotic Process Automation In Healthcare Market Outlook, By Deployment Model (2022-2030) ($MN)
  • Table 3 Global Robotic Process Automation In Healthcare Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 4 Global Robotic Process Automation In Healthcare Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 5 Global Robotic Process Automation In Healthcare Market Outlook, By Hybrid (2022-2030) ($MN)
  • Table 6 Global Robotic Process Automation In Healthcare Market Outlook, By Component (2022-2030) ($MN)
  • Table 7 Global Robotic Process Automation In Healthcare Market Outlook, By Software (2022-2030) ($MN)
  • Table 8 Global Robotic Process Automation In Healthcare Market Outlook, By Services (2022-2030) ($MN)
  • Table 9 Global Robotic Process Automation In Healthcare Market Outlook, By Consulting Services (2022-2030) ($MN)
  • Table 10 Global Robotic Process Automation In Healthcare Market Outlook, By Implementation Services (2022-2030) ($MN)
  • Table 11 Global Robotic Process Automation In Healthcare Market Outlook, By Training and Support Services (2022-2030) ($MN)
  • Table 12 Global Robotic Process Automation In Healthcare Market Outlook, By Operations (2022-2030) ($MN)
  • Table 13 Global Robotic Process Automation In Healthcare Market Outlook, By Rule-Based (2022-2030) ($MN)
  • Table 14 Global Robotic Process Automation In Healthcare Market Outlook, By Knowledge-Based (2022-2030) ($MN)
  • Table 15 Global Robotic Process Automation In Healthcare Market Outlook, By Process Type (2022-2030) ($MN)
  • Table 16 Global Robotic Process Automation In Healthcare Market Outlook, By Administrative Processes (2022-2030) ($MN)
  • Table 17 Global Robotic Process Automation In Healthcare Market Outlook, By Patient Registration (2022-2030) ($MN)
  • Table 18 Global Robotic Process Automation In Healthcare Market Outlook, By Human Resources Management (2022-2030) ($MN)
  • Table 19 Global Robotic Process Automation In Healthcare Market Outlook, By Clinical Processes (2022-2030) ($MN)
  • Table 20 Global Robotic Process Automation In Healthcare Market Outlook, By Medical Coding (2022-2030) ($MN)
  • Table 21 Global Robotic Process Automation In Healthcare Market Outlook, By Clinical Documentation Improvement (CDI) (2022-2030) ($MN)
  • Table 22 Global Robotic Process Automation In Healthcare Market Outlook, By Diagnostics Assistance (2022-2030) ($MN)
  • Table 23 Global Robotic Process Automation In Healthcare Market Outlook, By Operational Processes (2022-2030) ($MN)
  • Table 24 Global Robotic Process Automation In Healthcare Market Outlook, By Supply Chain Management (2022-2030) ($MN)
  • Table 25 Global Robotic Process Automation In Healthcare Market Outlook, By Inventory Control (2022-2030) ($MN)
  • Table 26 Global Robotic Process Automation In Healthcare Market Outlook, By Performance Analytics (2022-2030) ($MN)
  • Table 27 Global Robotic Process Automation In Healthcare Market Outlook, By Compliance Processes (2022-2030) ($MN)
  • Table 28 Global Robotic Process Automation In Healthcare Market Outlook, By Regulatory Reporting (2022-2030) ($MN)
  • Table 29 Global Robotic Process Automation In Healthcare Market Outlook, By Audit Management (2022-2030) ($MN)
  • Table 30 Global Robotic Process Automation In Healthcare Market Outlook, By Application (2022-2030) ($MN)
  • Table 31 Global Robotic Process Automation In Healthcare Market Outlook, By Claims Processing (2022-2030) ($MN)
  • Table 32 Global Robotic Process Automation In Healthcare Market Outlook, By Appointment Scheduling (2022-2030) ($MN)
  • Table 33 Global Robotic Process Automation In Healthcare Market Outlook, By Billing and Revenue Cycle Management (2022-2030) ($MN)
  • Table 34 Global Robotic Process Automation In Healthcare Market Outlook, By Workflow Automation (2022-2030) ($MN)
  • Table 35 Global Robotic Process Automation In Healthcare Market Outlook, By Data Analytics and Predictive Modeling (2022-2030) ($MN)
  • Table 36 Global Robotic Process Automation In Healthcare Market Outlook, By Patient Engagement (2022-2030) ($MN)
  • Table 37 Global Robotic Process Automation In Healthcare Market Outlook, By Clinical Trial Management (2022-2030) ($MN)
  • Table 38 Global Robotic Process Automation In Healthcare Market Outlook, By End User (2022-2030) ($MN)
  • Table 39 Global Robotic Process Automation In Healthcare Market Outlook, By Healthcare Providers (2022-2030) ($MN)
  • Table 40 Global Robotic Process Automation In Healthcare Market Outlook, By Hospitals (2022-2030) ($MN)
  • Table 41 Global Robotic Process Automation In Healthcare Market Outlook, By Clinics and Ambulatory Care Centers (2022-2030) ($MN)
  • Table 42 Global Robotic Process Automation In Healthcare Market Outlook, By Healthcare Payers (2022-2030) ($MN)
  • Table 43 Global Robotic Process Automation In Healthcare Market Outlook, By Pharmaceutical and Biotechnology Companies (2022-2030) ($MN)
  • Table 44 Global Robotic Process Automation In Healthcare Market Outlook, By Research Institutions (2022-2030) ($MN)
  • Table 45 Global Robotic Process Automation In Healthcare Market Outlook, By Diagnostic Centers (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.