ヘルスケアにおけるロボティック・プロセス・オートメーション市場：コンポーネント別、業務別、用途別、地域別、2026-2032年

ヘルスケアにおけるロボティック・プロセス・オートメーション市場の評価、2026-2032年

ヘルスケアビジネスにおけるRPA（ロボティック・プロセス・オートメーション）の需要の高まりは、業務効率の向上と管理業務の煩わしさを最小限に抑える必要性に起因しています。ヘルスケア企業はRPAを利用して、患者のスケジューリング、請求、請求処理などの反復的で時間のかかる業務を自動化しています。この自動化により、ヘルスケアの担当者は管理業務よりも患者ケアに集中できるようになり、サービスの質の向上と処理時間の短縮が実現されるため、2024年の市場規模は12億8,000万米ドルを超え、2032年には約20億4,000万米ドルに達すると評価されています。

RPAは、正確で一貫性のあるデータ管理を提供し、手作業による手順に関連するエラーの可能性を低下させることで、規制遵守を確保するのに役立ちます。世界中のヘルスケア組織が患者の転帰と業務効率を改善するためにデジタルトランスフォーメーションに一層注力する中、RPAは2026年から2032年にかけてCAGR 6%で市場が成長することを可能にすることで、不可欠なツールになりつつあります。

ヘルスケアにおけるロボティック・プロセス・オートメーション市場定義/概要

ヘルスケアにおけるRPAとは、ソフトウェアロボットや「ボット」を使用して通常の反復作業を自動化し、管理・運営プロセスを削減することです。データ入力、患者スケジューリング、請求処理、電子カルテ管理などがその例です。

ヘルスケアにおけるRPAとは、通常の反復業務を自動化するためにソフトウェアロボットや「ボット」を使用することで、管理・運営プロセスを削減するものです。データ入力、患者スケジューリング、請求処理、電子カルテ管理などはすべてそのような業務の例です。このような繰り返し業務を自動化することで、ヘルスケアビジネスはヒューマンエラーを大幅に減らし、効率を高め、運営コストを削減することができます。

業務効率を高め、管理コストを下げることで、ヘルスケアを改善する態勢が整っています。将来的には、RPAは患者のスケジューリング、請求書発行、請求処理など、さまざまな定型的プロセスを自動化します。これらの繰り返し業務を自動化することで、ヘルスケア従事者はエラーや遅延を減らし、より正確でタイムリーなサービスを提供できるようになります。

データ精度の向上とワークフローの合理化は、ヘルスケアにおけるロボティック・プロセス・オートメーション市場を牽引するか？

データ精度の向上とワークフローの最適化は、ヘルスケア市場におけるロボティック・プロセス・オートメーション（RPA）の重要な促進要因です。Office of the National Coordinator for Health Information Technology（ONC）が発表した調査によると、医療記録にオンラインでアクセスする患者の10人に1人がデータの変更を要求しています。RPAは、データ入力や検証作業を自動化することで、エラーの削減を支援することができます。

さらに、Journal of the American Medical Informatics Associationに掲載された調査では、大病院のシステムでRPAを使用した結果、保険確認や事前承認のような主要な管理業務の処理時間が90％短縮されたことが判明しています。米国労働統計局は、2020年から2032年の間に医療記録と医療情報技術の雇用が9％増加すると予測しており、RPAのような効率的なデータ管理技術に対する需要が高まっていることを示しています。

インフラとカスタマイズの問題はヘルスケアにおけるロボティック・プロセス・オートメーション市場の妨げになるか？

ヘルスケアにおけるRPA分野には、インフラとカスタマイズの問題が大きな課題となっています。現在のヘルスケアITプラットフォームとRPAテクノロジーの統合は、インフラストラクチャ問題の一般的な原因となっています。多くのヘルスケア組織は、RPAソリューションの実装が困難で高価な、時代遅れのまたは断片的なITシステムを使用しています。

さらに、異なるヘルスケア・プラットフォーム間で標準化が進んでいないため、多様な環境でRPAシステムが良好に動作することを保証することが困難になっている可能性があります。

カスタマイズの懸念は、ヘルスケアにおけるRPA市場の課題を悪化させる。RPAシステムは、ヘルスケア企業内の特定の需要やワークフローに合わせてカスタマイズする必要が頻繁にあります。さまざまな管理プロセス、患者ケア規制、規制ニーズに対応するためにRPAソリューションをカスタマイズすることは、リソース集約的で時間がかかる可能性があります。さらに、変化する医療基準や慣行に合わせてメンテナンスやアップデートを継続的に行う必要があるため、リソースに負荷がかかり、RPAソリューションの拡張性が制限される可能性があります。

目次

第1章 ヘルスケアにおけるロボティック・プロセス・オートメーションの世界市場導入

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 ヘルスケアにおけるロボティック・プロセス・オートメーションの世界市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 ヘルスケアにおけるロボティック・プロセス・オートメーションの世界市場：コンポーネント別

• 概要
• ソフトウェア
• サービス
• インプリメンテーション
• サポートとメンテナンス
• トレーニングとコンサルティング

第6章 ヘルスケアにおけるロボティック・プロセス・オートメーションの世界市場：業務別

• 概要
• ルールベース
• ナレッジベース

第7章 ヘルスケアにおけるロボティック・プロセス・オートメーションの世界市場：用途別

• 概要
• 請求管理
• 臨床文書作成
• 請求管理およびコンプライアンス管理
• 予約スケジューリング
• ワークフロー管理

第8章 ヘルスケアにおけるロボティック・プロセス・オートメーションの世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • 南米
  • 中東・アフリカ

第9章 ヘルスケアにおけるロボティック・プロセス・オートメーションの世界市場競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第10章 企業プロファイル

• VendorProfiles
• UiPath
• Blue Prism
• Automation Anywhere
• Kofax
• WorkFusion
• Jidoka
• Kryon Systems
• EdgeVerve Systems
• Pega Systems
• Another Monday

第11章 付録

• 関連調査

Robotic Process Automation in Healthcare Market Valuation - 2026-2032

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 2032.

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 2026 to 2032.

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.

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 2032 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.

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 2032 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 2024, 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 2024, 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.

TABLE OF CONTENTS

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