아시아태평양의 로보틱 프로세스 자동화 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the Asia-Pacific robotic process automation market size is expected to grow from USD 1.21 billion in 2025 to USD 1.61 billion in 2026 and is forecast to reach USD 6.83 billion by 2031 at 33.45% CAGR over 2026-2031.

This report is Segmented by Solution (Software and Services), Enterprise Size (Small and Medium Enterprises, and Large Enterprises), Deployment Mode (On-Premises, and Cloud), End-User Industry (BFSI, IT and Telecom, Healthcare and Life Sciences, and More), and Country. The Market Forecasts are Provided in Terms of Value (USD).

Asia-Pacific Robotic Process Automation Market Trends and Insights

Rising Digitization Mandates

Singapore's Digital Enterprise Blueprint enforces workflow digitization for government suppliers, Japan's Digital Agency funds municipal RPA pilots, and China's AI Plus roadmap embeds automation targets into five-year plans, moving the Asia-Pacific robotic process automation market from ROI-led adoption to policy-driven compliance. Procurement cycles now start with regulatory checklists, favoring vendors that offer in-country cloud zones and template libraries matching statutory forms. Local system integrators benefit as ministries demand domestic data residency, while global providers open regional data centers to remain eligible for public projects. Collectively, these directives lift baseline demand and standardize minimum automation footprints across industries.

Accelerated Post-COVID Cost-Take-Out Programs

Factories that digitized paperwork during 2020 disruptions have operationalized quick wins into multiyear automation roadmaps. RPA use cases have expanded from invoice posting to full order-management flows, shrinking average transaction time by over 90% in pilot sites. Boards now treat automation as a hedging tool against future supply-chain shocks, ensuring sustained investment even after immediate crisis memories fade. Regional conglomerates bundle automation in zero-based budgeting exercises, linking executive bonuses to bot-driven savings that offset wage inflation and help meet margin targets.

Scarcity of Certified RPA Talent in Tier-2 Asian Cities

Automation expertise remains concentrated in metro hubs like Bengaluru, Shanghai, and Ho Chi Minh City. Enterprises expanding to cost-efficient tier-2 locations confront extended recruitment cycles, forcing them to adopt hub-and-spoke delivery or remote-deployment models that inflate project overheads. Although vendors run fast-track academies, ramp-up time averages six months, prolonging the supply-demand imbalance.

Other drivers and restraints analyzed in the detailed report include:

1. Growing SME Demand for SaaS Bots
2. Integration of Gen-AI-Powered Autonomous Agents
3. Fragmented Data-Privacy Laws Across APAC

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Services revenue climbed faster than software even though licenses still represented 71.85% of the Asia-Pacific robotic process automation market share in 2025. Enterprises advancing from task-level bots to enterprise-wide digital-worker programs need consulting for process redesign, governance frameworks, and hybrid-cloud security reviews. Over 45% of new projects now include a change-management work-stream that positions service providers alongside internal HR teams.

Training and support constitute the fastest-growing services sub-segment, fueled by partnerships such as UiPath and Indonesia's Indosat that certify thousands of citizen developers yearly. As more bots interact with enterprise knowledge graphs, ongoing model reinforcement services emerge, creating recurrent revenue. Conversely, software growth moderates as perpetual licenses give way to subscription bundles, flattening peak-year inflows yet improving revenue visibility.

Small and medium enterprises are expanding at a 34.9% CAGR, even as large enterprises still account for 60.95% of the Asia-Pacific robotic process automation market size. Low-code interfaces empower finance managers and operations heads in SMEs to build bots without heavy IT backlogs, accelerating proof-of-concept rollouts from months to weeks. Government grants covering subscription fees amplify this momentum, especially in Malaysia's "SME Digital Leap" scheme.

Large enterprises shift focus to AI-embedded orchestration suites and process-mining integrations that unveil system bottlenecks enterprise-wide. They increasingly demand vendor-agnostic connectors able to orchestrate legacy RPA engines, document-processing tools, and conversational AI gateways within one control panel. This bifurcation prompts platform vendors to release "lite" tiers for startups while reserving premium AI modules for Fortune 500 clients.

Complete Report Scope:

• By Solution
  • Software
  • Services
    • Consulting
    • Implementation and Integration
    • Training and Support
• By Enterprise Size
  • Small and Medium Enterprises
  • Large Enterprises
• By Deployment Mode
  • On-Premises
  • Cloud
• By End-user Industry
  • BFSI
  • IT and Telecom
  • Healthcare and Life Sciences
  • Retail and eCommerce
  • Manufacturing
  • Mining and Natural Resources
  • Utilities and Energy
  • Government and Public Sector
  • Others
• By Geography
  • China
  • India
  • Japan
  • South Korea
  • Australia and New Zealand
  • Singapore
  • Rest of Asia-Pacific

List of Companies Covered in this Report:

1. Automation Anywhere Inc.
2. UiPath Inc.
3. Blue Prism Limited
4. Pegasystems Inc.
5. NICE Ltd.
6. Kofax Inc.
7. WorkFusion Inc.
8. AntWorks Pte Ltd.
9. Datamatics Global Services Ltd.
10. EdgeVerve Systems Ltd.
11. Softomotive Ltd. (Microsoft)
12. AutomationEdge Technologies Inc.
13. HelpSystems LLC (Fortra)
14. Kryon Systems Ltd.
15. NTT DATA Corporation
16. IBM Corporation
17. SAP SE
18. Salesforce, Inc.
19. Samsung SDS Co., Ltd.
20. Tata Consultancy Services Ltd.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising digitization-linked government mandates
  • 4.2.2 Accelerated post-COVID cost-take-out programs
  • 4.2.3 Maturity of cloud-native, low-code RPA suites
  • 4.2.4 Growing SME demand for SaaS bots
  • 4.2.5 Integration of Gen-AI-powered autonomous agents
  • 4.2.6 APAC-specific labor cost inflation in shared-service hubs
• 4.3 Market Restraints
  • 4.3.1 Scarcity of certified RPA talent in Tier-2 Asian cities
  • 4.3.2 Fragmented data-privacy laws across APAC
  • 4.3.3 High bot maintenance cost in legacy-heavy industries
  • 4.3.4 Slow ROI in process-complex sectors (mining, utilities)
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Intensity of Competitive Rivalry
  • 4.7.5 Threat of Substitutes
• 4.8 Investment and Funding Analysis

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Solution
  • 5.1.1 Software
  • 5.1.2 Services
    • 5.1.2.1 Consulting
    • 5.1.2.2 Implementation and Integration
    • 5.1.2.3 Training and Support
• 5.2 By Enterprise Size
  • 5.2.1 Small and Medium Enterprises
  • 5.2.2 Large Enterprises
• 5.3 By Deployment Mode
  • 5.3.1 On-Premises
  • 5.3.2 Cloud
• 5.4 By End-user Industry
  • 5.4.1 BFSI
  • 5.4.2 IT and Telecom
  • 5.4.3 Healthcare and Life Sciences
  • 5.4.4 Retail and eCommerce
  • 5.4.5 Manufacturing
  • 5.4.6 Mining and Natural Resources
  • 5.4.7 Utilities and Energy
  • 5.4.8 Government and Public Sector
  • 5.4.9 Others
• 5.5 By Geography
  • 5.5.1 China
  • 5.5.2 India
  • 5.5.3 Japan
  • 5.5.4 South Korea
  • 5.5.5 Australia and New Zealand
  • 5.5.6 Singapore
  • 5.5.7 Rest of Asia-Pacific

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Automation Anywhere Inc.
  • 6.4.2 UiPath Inc.
  • 6.4.3 Blue Prism Limited
  • 6.4.4 Pegasystems Inc.
  • 6.4.5 NICE Ltd.
  • 6.4.6 Kofax Inc.
  • 6.4.7 WorkFusion Inc.
  • 6.4.8 AntWorks Pte Ltd.
  • 6.4.9 Datamatics Global Services Ltd.
  • 6.4.10 EdgeVerve Systems Ltd.
  • 6.4.11 Softomotive Ltd. (Microsoft)
  • 6.4.12 AutomationEdge Technologies Inc.
  • 6.4.13 HelpSystems LLC (Fortra)
  • 6.4.14 Kryon Systems Ltd.
  • 6.4.15 NTT DATA Corporation
  • 6.4.16 IBM Corporation
  • 6.4.17 SAP SE
  • 6.4.18 Salesforce, Inc.
  • 6.4.19 Samsung SDS Co., Ltd.
  • 6.4.20 Tata Consultancy Services Ltd.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment