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Home Artificial Intelligence

Robotic Process Automation Market Poised for Rapid Expansion to US$ 23.3 Billion by 2030, Led by North America’s 36.23% Regional Share

February 18, 2026
in Artificial Intelligence, OpenPR, Web3
Reading Time: 8 mins read
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Robotic Process Automation Market

Robotic Process Automation Market

The Global Robotic Process Automation (RPA) Market reached US$ 3.1 billion in 2022 and is expected to reach US$ 23.3 billion by 2030, growing at a CAGR of 28.8% during the forecast period 2024-2031.

Market growth is propelled by surging demand for operational efficiency, cost savings in repetitive tasks, and integration with AI and digital transformation across industries like BFSI, healthcare, and IT. Key accelerators include rising adoption in business process outsourcing, advancements in hyperautomation technologies, expanding RPA deployments in SMEs, and regulatory support for intelligent automation solutions.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID):- https://www.datamintelligence.com/download-sample/robotic-process-automation-market?ram

Key Industry Developments

United States:
✅ February 2026: UiPath launched Autopilot 2.0, an agentic RPA platform integrating generative AI for autonomous workflow orchestration, enhancing enterprise scalability in finance and healthcare with self-healing bots.

✅ January 2026: Automation Anywhere released Automation 360 AI Cloud upgrade, featuring advanced intelligent document processing and API-driven hyperautomation for real-time compliance monitoring.

✅ December 2025: Microsoft rolled out Power Automate 2025 Wave 2 with multimodal AI builders, enabling low-code RPA for dynamic, self-adapting processes across Microsoft 365 ecosystems.

Asia Pacific / Japan:
✅ February 2026: Fujitsu unveiled RPA Cognitive Suite 2026, incorporating edge AI for manufacturing supply chains, optimizing predictive maintenance under Japan’s data sovereignty regulations.

✅ January 2026: Hitachi launched Lumada RPA Edge Pro, a hybrid solution blending RPA with sustainable AI analytics for energy-efficient automation in automotive and logistics sectors.

✅ November 2025: NEC Corporation introduced AI-RPA Admin Optimizer, advancing administrative automation with natural language processing for customer service in compliance-heavy industries.

Key Mergers and Acquisitions:
✅ IBM acquired WDG Automation, a Dutch RPA software company, in February 2025, expanding its RPA capabilities and strengthening its European market foothold.​

✅ UiPath announced the acquisition of Peak AI Limited in March 2025 (Q4 FY 2025), enhancing platform intelligence for robotic process automation solutions.​

✅ Sema4.ai acquired Robocorp in February 2025 after closing a USD 35.5 million funding round, boosting AI agent capabilities in the RPA sector.​

Key Players:
UiPath Inc. | Automation Anywhere, Inc. | Blue Prism Group plc | Kofax Image Products, Inc. | WorkFusion, Inc. | Appian RPA | Microsoft Power Automate | SAP Build Process Automation (BPA) | Nintex Global Ltd. | IBM

Strategic Leadership Report: Top 5 Players in Robotic Process Automation Market 2026
-UiPath Inc.: Launched the UiPath PlatformTM with advanced agentic automation and orchestration capabilities, introducing pre-built agentic solutions for industry-specific use cases and enhanced tools for building, testing, and governing AI agents to accelerate enterprise ROI.

-Automation Anywhere, Inc.: Introduced Automation Anywhere RPA with GenAI-powered agents and process discovery features, enabling autonomous workflow orchestration and real-time adaptability across enterprise operations through integrated AI models for complex task automation.

-Microsoft Power Automate: Advanced Power Automate Desktop with AI Builder integrations and cloud flows for agentic RPA, delivering low-code automation with Copilot-assisted process mining and adaptive intelligence to streamline cross-app workflows in dynamic business environments.

-Blue Prism Group plc: Deployed Blue Prism Intelligent Automation with Decipher IDP enhancements and AI-driven decisioning, providing enterprise-grade orchestration for resilient, scalable RPA deployments focused on compliance-heavy industries like finance and healthcare.

-IBM: Enhanced IBM Automation with watsonx Orchestrate and AI-infused RPA capabilities, offering hybrid cloud process automation and generative AI agents for end-to-end workflow intelligence and secure, multi-agent collaboration in regulated sectors.

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Market Drivers and Key Trends:
-Digital Transformation Surge: Accelerating enterprise adoption of RPA streamlines repetitive tasks in BFSI and healthcare, driving operational efficiency and cost reductions amid rising digitalization demands.

-AI Integration Boom: Embedding AI, ML, NLP, and OCR into RPA platforms enables intelligent automation, enhancing accuracy in data processing and decision-making across industries.

-Cloud and SaaS Shift: Transition to scalable cloud-based RPA solutions lowers deployment barriers, boosts accessibility for SMEs, and supports hybrid work models.

-Regulatory Compliance Push: Evolving global regulations in finance and manufacturing fuel RPA demand for audit trails, error minimization, and faster reporting to meet stricter standards.​

-Cost Optimization Needs: Rising labor costs and focus on productivity gains propel RPA in high-volume sectors like retail and IT, yielding up to 30-50% efficiency improvements.

Regional Insights:
-North America: 36.23% (Largest share, driven by early adoption, enterprise deployments, and digital transformation strategies).​

-Europe: 27.88% (Strong presence in financial services, public administration, and manufacturing sectors).​

-Asia Pacific: 24.94% (Fastest growing, fueled by rapid digitalization, IT investments, and emerging economy adoption).​

-Middle East & Africa: 7.13% (Emerging adoption with steady development).​

-South America: 3.82% (Gradual growth in RPA penetration).​

Market Opportunities & Challenges: Robotic Process Automation Market 2026
-Opportunities: A “Hyperautomation Surge” accelerates AI-infused RPA adoption, with low-code platforms enabling SME-scale deployments and Centers of Excellence (CoEs) institutionalizing enterprise governance. Cloud-native “process discovery” tools and industry-specific bots-targeting healthcare claims and banking KYC-de-risk entry for digital transformation leaders.

-Challenges: Legacy system integration complexities inflate deployment timelines, while bot governance skill gaps expose cybersecurity vulnerabilities in audit-poor environments. Success demands navigating fragmented vendor ecosystems amid workforce reskilling pressures.​

-Strategic Verdict: Intelligent RPA fused with gen AI and cloud analytics powers resilient growth engines for 2026.

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Market Segmentation Analysis:
-By Deployment: Cloud Leads with Scalability Edge
Cloud deployment dominates at 58% market share in 2024, offering flexibility, lower upfront costs, and rapid scalability for dynamic business needs.
On-premise holds 42%, preferred by regulated sectors for enhanced data control and customization despite higher infrastructure demands.

-By Solution: Software Commands Core Functionality
Software captures 62% share, providing automation bots, tools, and AI-driven processes essential for workflow efficiency.
Services account for 38%, encompassing consulting, implementation, and support to optimize RPA adoption.

-By Enterprises: Large Enterprises Drive Volume
Large enterprises lead with 68% share, leveraging RPA for complex, high-volume operations across global scales.
Small and medium enterprises (SMEs) take 32%, adopting affordable cloud RPA for streamlined tasks and cost savings.

-By End-User: BFSI Tops with Compliance Needs
BFSI holds the highest share at 25%, using RPA for transaction processing, fraud detection, and regulatory compliance.
IT and Telecom follows at 18%, automating network management and customer support.
Healthcare at 15% streamlines billing and records; Retail at 12% handles inventory; Manufacturing at 20% optimizes production; Others at 10% cover diverse uses.

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This release was published on openPR.

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