Skip to main content

Permissions

Add user
Done

Start your AI search

AI search
Outbound call compliance Gamification for customer service Outsourcing services

RPA market map and supplier insights Q3 2026

The Robotic Process Automation (RPA) market, particularly within Customer Experience (CX), has evolved significantly, moving from simple task automation to complex, autonomous orchestration. Generating $3.8 billion in 2024 with an 18% year-over-year growth, RPA is now a critical component of enterprise digital strategy.

The shift towards Agentic AI and Business Orchestration and Automation Technologies (BOAT) marks a pivotal inflection point, enabling digital workers to perceive, reason, and act with enhanced autonomy, reducing reliance on brittle, rule-based scripts. Organizations face an "AI divide" in contact centers, where agents often manage numerous disparate systems, leading to inefficiencies and customer frustration.

RPA addresses these pain points by streamlining operations, improving response times, and enhancing data accuracy. The cost of inaction is substantial, with manual processes hindering lead conversion and contributing to high agent attrition. Conversely, RPA adoption can yield significant benefits, such as a 90% reduction in insurance verification time and a 30% improvement in service levels through predictive analytics.

Procurement decisions in RPA are high-stakes due to the technology's role as enterprise connective tissue. A poor choice can lead to technical debt and automation fragility. Buyers must prioritize solutions offering agentic orchestration, self-healing capabilities, and robust security. Evaluating vendors based on their long-term vision for Agentic AI and Hyperautomation, beyond initial licensing fees, is crucial for ensuring scalable and resilient CX operations.

Learn more
36 companies analyzed | Last updated Aug 25, 2026
Download the report
Palomarr Insights / Q3 2026

RPA

What does the latest RPA market report show?

The Q3 2026 Palomarr Insights report maps 36 RPA suppliers by market position, supplier scores, and category signals. Buyers can use it to understand the market before comparing vendors or building an RFP shortlist.

Palomarr Orbit

Unlike static analyst charts, Palomarr Orbit plots 36 RPA companies by Capabilities and Innovation, then lets you shift the center of gravity based on your priorities with Palomarr Orbit Shift. The closer to your unique core, the better the fit.

Palomarr Orbit Shift

 Orbit Shift
Contenders
Leaders
Emerging
Challengers
CAPABILITIES →
INNOVATION ↑

Introduction

The Robotic Process Automation (RPA) market in Customer Experience (CX) has undergone a profound transformation. Initially a tool for basic task automation, it has matured into a strategic enabler of digital transformation. This report delves into the current state of RPA, highlighting its evolution, key challenges, and the essential capabilities required for successful implementation in modern CX environments. We provide insights to guide procurement decisions and ensure long-term value.

Market landscape

The global RPA market is experiencing robust growth, driven by the integration of advanced AI capabilities. In 2024, the market reached $3B, demonstrating an 18% year-over-year increase. This expansion is fueled by the shift from rule-based automation to agentic AI, which allows digital workers to operate with greater autonomy.

The market is characterized by a move towards comprehensive orchestration platforms that unify various automation technologies, addressing the complexity of modern contact centers.

Quadrant distribution

Companies are evaluated on two dimensions: Capabilities measure product depth and maturity, while Innovation reflects forward-thinking investments. The combined score shows overall market position.

$28B Global RPA market value (2025)
18% YoY market growth (2024)
391% Lead conversion increase (within 1 min)

Key trends

Agentic AI evolution

RPA is transitioning from task bots to autonomous digital employees, leveraging agentic AI for probabilistic interaction and self-healing. This reduces maintenance burdens and enhances adaptability to changing user interfaces.

Hyperautomation convergence

The market is moving towards Hyperautomation, integrating RPA with AI, process mining, and low-code platforms. This creates a holistic enterprise operating system for end-to-end process orchestration.

Process mining integration

Process and task mining tools are becoming integral for discovering high-ROI automation opportunities. They analyze system logs and user interactions to ensure strategic and efficient automation pipeline development.

Cloud-native adoption

Cloud-native RPA deployments are increasingly preferred, representing over 53% of the market share. They offer significant reductions in Total Cost of Ownership (TCO) and simplified upgrades, enhancing scalability and flexibility.

Competitive analysis

The RPA competitive landscape is marked by consolidation and innovation. Platform leaders like UiPath and Automation Anywhere offer comprehensive suites, integrating discovery, orchestration, and AI capabilities. Ecosystem challengers, such as Microsoft and SAP, provide deep integration within their proprietary software stacks. Strategic buyers must balance leveraging native ERP capabilities with selecting a best-of-breed orchestrator to avoid vendor lock-in and ensure future-proof CX operations.

How companies earn their ranking

For RPA, Capability scores are driven by reliability in high-volume environments, the depth of pre-built industry accelerators, and the robustness of the Orchestrator.

Innovation scores reflect investments in Agentic AI, Computer Use capabilities, and the integration of Generative AI for prompt-driven automation building.Top-ranked RPA companies demonstrate a holistic approach, combining process mining, app development, and AI orchestration into a single platform. They also maintain a vast global partner ecosystem, which is critical for providing localized implementation support.

Vendors can improve their ranking by prioritizing seamless integration with adjacent technologies, enhancing their AI-driven automation capabilities, and expanding their industry-specific solutions.

Learn more

Rankings

1
AutomationEdge
Best Overall Best Value
9.8 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.9 Innovation 9.7
2
Automation Anywhere
Best for SMB
9.7 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.6 Innovation 9.8
3
Neostella
Best for Mid-market
9.6 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.7 Innovation 9.5
4
Capacity
Best for Enterprise
9.6 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.5 Innovation 9.7
5
Kore.ai
9.5 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.6 Innovation 9.4
6
Amelia (Soundhound)
9.4 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.3 Innovation 9.5
7
Quiq
9.3 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.4 Innovation 9.2
8
Callvu
9.3 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.2 Innovation 9.4
9
Laivly
9.2 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.3 Innovation 9.1
10
Cooperative Computing
9.1 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.0 Innovation 9.2

Competitive assessment

Our AI-generated analysis explains what makes each top-ranked company a strong fit for RPA, based on their specific capabilities, product features, and market positioning.

1
AutomationEdge
Best Overall Best Value
9.8 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.9 Innovation 9.7

AutomationEdge integrates RPA with AI and intelligent document processing, providing a universal automation platform that supports diverse business applications.

  • AI-powered: Focuses on intelligent automation using AI
  • Bundled services: Includes essential automation technologies
  • Seamless integration: Integrates with existing business processes
CapabilitiesInnovationImplementationSupportPrice
2
Automation Anywhere
Best for SMB
9.7 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.6 Innovation 9.8

Automation Anywhere leads in RPA through its Process Reasoning Engine, enabling seamless automation across various industries with prebuilt AI agents.

  • Robust and scalable RPA platform
  • Advanced cognitive capabilities for intelligent automation
  • Seamless integration with various enterprise systems
CapabilitiesInnovationImplementationSupportPrice
3
Neostella
Best for Mid-market
9.6 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.7 Innovation 9.5

Neostella's platform supports legal automation with RPA capabilities, streamlining case management and enhancing operational efficiency across various legal practices.

  • Legal-specific workflow automation solutions
  • No-code automation tools
  • Nearshore talent integration services
CapabilitiesInnovationImplementationSupportPrice
4
Capacity
Best for Enterprise
9.6 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.5 Innovation 9.7

Capacity offers a unified platform for AI support automation, enhancing customer interactions across channels with intelligent virtual agents and real-time analytics.

  • Unified knowledge base for all inquiries
  • Integrates seamlessly with 250+ tools
  • Expert in-house onboarding and support
CapabilitiesInnovationImplementationSupportPrice
5
Kore.ai
9.5 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.6 Innovation 9.4

Kore.ai excels in RPA with its extensive marketplace of prebuilt AI agents and tailored applications that enhance customer service and process automation.

  • No-code development platform for rapid deployment
  • Flexible LLM integration options tailored for businesses
  • Strong focus on action-driven AI insights
CapabilitiesInnovationImplementationSupportPrice
6
Amelia (Soundhound)
9.4 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.3 Innovation 9.5

Amelia delivers advanced conversational AI capabilities for seamless customer interactions, leveraging its proprietary Agentic framework for effective task automation.

  • Autonomous action capabilities enhance efficiency
  • LLM-agnostic design supports diverse integrations
  • Comprehensive support model ensures successful deployment
CapabilitiesInnovationImplementationSupportPrice
7
Quiq
9.3 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.4 Innovation 9.2

Quiq provides a robust AI-powered platform for customer engagement, optimizing workflows with real-time analytics and seamless handoffs to human agents.

  • Real-time, conversational messaging platform
  • Advanced routing and smart queuing capabilities
  • Omni-channel support for seamless customer experience
CapabilitiesInnovationImplementationSupportPrice
8
Callvu
9.3 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.2 Innovation 9.4

Callvu enables intelligent digital customer experiences through RPA, automating complex processes and enhancing self-service capabilities across various industries.

  • Deterministic Execution
  • "Last Mile" Workflow Completion
  • Compliance-First Agentic CX
CapabilitiesInnovationImplementationSupportPrice
9
Laivly
9.2 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.3 Innovation 9.1

Laivly's AI platform enhances contact center efficiency with its no-code Sidd Studio for deploying AI agents that support customer service teams.

  • AI-powered virtual assistant for customer support
  • Streamlined workflow automation and task management
  • Real-time data analytics and reporting capabilities
CapabilitiesInnovationImplementationSupportPrice
10
Cooperative Computing
9.1 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.0 Innovation 9.2

Cooperative Computing focuses on hyperautomation, offering solutions that enhance operational efficiency and data-driven decision-making for businesses transitioning to automation.

  • Hyper Automation for Seamless Operations
  • Tailored Digital Maturity Experience Approach
  • Real-Time Analytics for Informed Decisions
CapabilitiesInnovationImplementationSupportPrice

Implementation considerations

Successful RPA implementation requires careful planning, typically spanning 3 to 6 months from discovery to go-live. Key phases include identifying high-ROI opportunities, detailed process design, script development, rigorous testing, and ongoing optimization. Organizations must account for hidden costs beyond licensing, such as professional services, infrastructure, maintenance, and change management.

A robust Center of Excellence (CoE) is crucial for managing cultural shifts and providing continuous training to agents.

Recommendations

SMB buyers

Prioritize solutions with intuitive low-code/no-code development environments and strong, responsive vendor support. Focus on immediate, high-impact automations to demonstrate quick ROI and build internal confidence.

Mid-market buyers

Seek platforms that offer a balance of advanced features like Intelligent Document Processing (IDP) and robust orchestration, alongside flexible deployment options. Evaluate vendors based on their ability to integrate with existing core systems and provide clear TCO beyond initial licensing.

Enterprise buyers

Demand agentic orchestration, self-healing capabilities, and a clear AI roadmap from vendors. Prioritize solutions with hybrid API and UI integration, comprehensive security, and a proven track record of scaling to hundreds of bots. Focus on long-term strategic alignment and vendor stability.

Future outlook

The future of RPA in CX is defined by Hyperautomation and multi-agent ecosystems. RPA will serve as the 'muscle' for diverse AI agents, enabling digital workers to plan workflows and invoke tools autonomously. The focus will shift towards 'Agentic/GenAI-Assisted Automation,' where human intervention is reserved for complex exceptions.

This evolution promises greater operational efficiency, enhanced customer experiences, and a significant competitive advantage for organizations that embrace these transformative technologies.

About this study

This report analyzes the strategic evolution of Robotic Process Automation (RPA) within the Customer Experience (CX) sector. It evaluates market trajectory, technological shifts, and essential capabilities to provide a comprehensive procurement guide for enterprise buyers.

FAQs & disclaimers

Is RPA just a temporary 'band-aid' for legacy systems?

While RPA excels at connecting legacy systems, it has evolved into a strategic orchestration layer. In 2025, it is used alongside APIs to manage complex, multi-agent workflows that modern 'clean-sheet' systems cannot handle alone.

How do we decide between 'Attended' and 'Unattended' bots for our contact center?

Use 'Attended' bots (RDA) when the agent needs a real-time assistant to fetch data or fill forms during a call. Use 'Unattended' bots for high-volume, back-office work that happens after the call or in batches, such as reconciling payments or updating records.

What is the biggest risk of choosing the wrong vendor?

The biggest risk is 'Technical Debt.' A vendor without self-healing or agentic capabilities will force you to spend your entire budget on maintenance, leaving no resources for new innovation.

Can RPA handle handwritten or scanned customer documents?

Yes, modern RPA platforms include Intelligent Document Processing (IDP) with OCR and AI, allowing them to extract data from semi-structured and even handwritten sources with high accuracy.

Disclaimer: The information contained in this report is for informational purposes only and should not be considered as professional advice. Palomarr does not endorse any specific vendor or product. Buyers should conduct their own due diligence and consult with experts before making purchasing decisions.

Conclusion

The RPA market in Customer Experience is undergoing a significant transformation, moving beyond simple task automation to sophisticated, autonomous orchestration powered by Agentic AI. This evolution is critical for organizations looking to overcome the complexities of modern contact centers, improve operational efficiency, and enhance customer satisfaction.

The strategic adoption of RPA can lead to substantial cost savings, faster response times, and improved data accuracy, directly impacting an organization's bottom line and competitive standing. Successful procurement and implementation hinge on a thorough understanding of essential capabilities, including agentic orchestration, self-healing bots, and robust security.

Buyers must look beyond initial licensing costs to consider the total cost of ownership, vendor stability, and their long-term AI roadmap. Prioritizing solutions that offer resilient integration and comprehensive governance will mitigate risks and prevent the accumulation of technical debt. Ultimately, RPA is not merely a technological upgrade but a strategic imperative that reshapes human workflows and demands a cultural shift.

By empowering agents with digital assistants and automating repetitive tasks, organizations can foster a more engaged workforce and deliver superior customer experiences. The future belongs to those who strategically leverage RPA as a core component of their Hyperautomation journey.

Take the deep dive

Explore RPA history, benefits, and future trends.

Read the deep dive

Read the buyer's guide

Get expert advice on evaluating RPA solutions, including key capabilities and evaluation criteria.

Read the guide

Ready to find your perfect RPA solution?

Learn more