Cognitive Automation Market (2033): Robotic Process Automation, Intelligent Automation & AI Agent Growth in United States Expansion

DataM Intelligence has released a new research report titled "Cognitive Automation Market Size 2026" The report delivers in-depth insights into key market dynamics, including regional growth trends, market segmentation, CAGR projections, and the revenue performance of leading industry players. It also highlights major growth drivers shaping the market landscape. Designed to provide a clear and comprehensive perspective, the report offers a detailed view of the current market size in terms of both value and volume, along with emerging opportunities and the overall development outlook of the global Cognitive Automation market.

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Recent Key Developments - United States & North America
✅ September 2026: Enterprise automation is shifting toward centralized control of AI agents. UiPath introduced new governance, data, integration, and deployment capabilities designed to keep autonomous agents within customer-defined boundaries, addressing issues around legacy applications, agent access, and proving what an agent actually did during execution.

✅ September 2026: IBM expanded agent operations beyond individual automation workflows. IBM watsonx Orchestrate added cross-platform agent discovery, allowing enterprises to discover agents built on third-party platforms such as Amazon Bedrock, while its Trace Inspector and AgentOps capabilities provide evidence of agent behavior and tools for improving performance.

✅ August 2026: Enterprise AI automation moved closer to core business operations through an IBM-OpenAI partnership. The companies announced a broad collaboration focused on applying AI to workflow automation, application modernization, and AI risk management, reflecting a move from isolated AI pilots toward operational agentic workflows.

Recent Key Developments - Japan & Asia-Pacific
✅ July 2026: NEC began commercializing an AI-driven service that automates product planning and marketing analysis. The service combines Claude from Anthropic with Snowflake Cortex to turn consumer purchasing data into analysis and proposed marketing or product strategies, reducing work that previously required data scientists and consultants.

✅ July 2026: NTT DATA expanded its enterprise automation strategy around SAP environments. The company began rolling out services combining SAP Joule, generative AI, and agentic AI to automate business-process improvements, including support for customers running on-premises SAP S/4HANA environments.

✅ July 2026: NTT DATA and Google Cloud moved toward an "agentic workplace" model. NTT DATA signed a group-wide agreement covering Google Workspace and Gemini Enterprise and is using its own workforce as a "client zero" to establish operating practices for governance, migration, employee training, and enterprise AI adoption before extending those lessons to customers.

Recent Key Developments - Product & Technology Innovation
✅ September 2026: Agent observability is becoming a core automation capability. IBM introduced tools that let enterprises inspect individual agent runs, evaluate agent quality, discover agents across platforms, and use performance evidence to improve autonomous workflows rather than treating automation as a one-time deployment.

✅ July-August 2026: Deterministic controls are being combined with AI reasoning. Salesforce moved new Agentforce development to its Agentforce Builder and Agent Script, combining LLM-based reasoning with deterministic business rules and multi-agent orchestration. Its July and August releases also added agent observability, enhanced session logging, model selection, and security-risk assessment for third-party MCP servers.

✅ July 2026: AI agents began taking over more complex IT operations rather than simply handling repetitive tasks. ServiceNow's ITOM Prime release introduced agentic workflows for alert triage, impact analysis, root-cause investigation, service-level-objective creation, and other AIOps activities, including workflows that can replace processes involving more than 30 manual clicks.

List of Key Players 2026:
Automation Anywhere, Inc., Blue Prism Limited, EdgeVerve Systems Limited, FPT Software, KOFAX, Inc., NICE and UiPath

Company Evaluation
Leading cognitive automation companies such as UiPath, Automation Anywhere, Blue Prism and NICE are strengthening their market presence through AI-powered automation platforms, robotic process automation, intelligent workflows and enterprise digital transformation solutions.

Technology companies such as EdgeVerve Systems, FPT Software and Pegasystems are advancing cognitive automation capabilities through intelligent process automation, AI-driven decision-making, cloud integration and workflow optimization.

Growth Forecast Projected 2026:
The Global Cognitive Automation Market is anticipated to grow at a significant rate during the forecast period from 2026 to 2033. The market was valued at US$13.8 billion in 2025 and is expected to reach US$33.3 billion by 2033, expanding at a CAGR of 11.6% during the forecast period. Rising adoption of AI, machine learning, natural language processing, robotic process automation and intelligent workflows is expected to support market growth.

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M&A / Strategic Activity
Recent acquisitions, partnerships, and ecosystem moves are reshaping cognitive automation from traditional RPA toward agent-led, end-to-end process execution:

UiPath - Acquisition of WorkFusion for financial-crime automation
In February 2026, UiPath acquired WorkFusion for approximately $189.5 million, adding pre-built AI agents for financial-crime compliance. The combination targets AML and KYC workflows, including customer screening, investigations, pattern analysis, and case prioritization, bringing domain-specific AI agents into UiPath's broader orchestration platform.

UiPath - Acquisition of Peak for specialized business agents
UiPath acquired UK-based Peak in March 2025 to add specialized AI applications for inventory optimization and pricing. The deal reflects a move away from generic automation toward agents designed around specific industry and operational decisions.

Automation Anywhere - Acquisition of Aisera
Automation Anywhere acquired Aisera to combine its agentic process automation platform with Aisera's self-service agents for IT service management, HR, and customer service. The combined offering also introduces a more outcome-oriented commercial model, with Automation Anywhere stating that it charges for work performed rather than relying solely on traditional seat-based ITSM pricing.

UiPath - Expanded Deloitte alliance for Agentic ERP
In March 2026, UiPath expanded its relationship with Deloitte around an Agentic ERP offering. The solution addresses work that still sits outside core ERP systems, including spreadsheet reconciliation, email-driven processes, evidence collection, and exception management, using AI-enabled orchestration to connect these fragmented activities.

UiPath - HCLTech partnership for enterprise agentic automation
UiPath and HCLTech announced a strategic partnership in June 2025 to deploy agentic automation across finance, supply chain, procurement, customer service, marketing, and HR. HCLTech is using pre-configured AI agents and UiPath automation capabilities to support larger enterprise deployments.

UiPath - Snowflake partnership for data-driven autonomous actions
In September 2025, UiPath partnered with Snowflake to connect UiPath's agentic automation platform with Snowflake Cortex AI, allowing data insights and AI agents to feed into automated enterprise actions. The integration also extends orchestration across low-code, no-code, and specialized agents.

New Product/Platform Launches & Deployments
Recent product activity shows cognitive automation moving beyond scripted bots toward systems that can interpret context, coordinate agents, and execute multi-step workflows:

IBM - Agentic Control Plane for watsonx Orchestrate
IBM introduced the Agentic Control Plane in watsonx Orchestrate in 2026 to provide centralized visibility, governance, scheduling, agent catalogs, and operational controls across enterprise AI agents. The platform is designed to manage agents built using different tools rather than forcing organizations into a single development framework.

IBM - AgentOps for continuous agent evaluation
In August 2026, IBM introduced the AgentOps agent in watsonx Orchestrate, initially in preview and subsequently expanded toward general availability. It evaluates agent performance, identifies quality issues, and helps optimize agents through natural-language interaction. By September 2026, IBM had also added cross-platform agent discovery, trace inspection, and custom evaluation capabilities.

Oracle - AI-native builder for Fusion Agentic Applications
Oracle introduced a new AI-native builder experience in July 2026 for creating Fusion Agentic Applications. These applications combine specialized agent teams with Fusion business objects, workflows, approvals, policies, governance, and audit trails, allowing agents to execute business processes within an enterprise application environment.

Salesforce - Agentforce integrated directly into Flow Builder
Beginning in June 2026, Salesforce enabled customers to create and run Agentforce agents directly from Flow Builder. Agents can be inserted into existing workflows, use structured outputs, and connect agent decisions with conventional workflow logic rather than operating as isolated chat interfaces.

Salesforce - Agentforce Operations for difficult back-office processes
Agentforce Operations, generally available from April 2026, targets processes that traditionally remained difficult to automate because they cross email, documents, ERP systems, spreadsheets, and human approvals. Examples include vendor onboarding and invoice review, where agents can coordinate work across disconnected systems.

Microsoft - Copilot Studio agent flows and Power Automate integration
Microsoft has been integrating AI agents directly into workflow automation. Copilot Studio agent flows can trigger actions based on events, schedules, or other agents, while Power Automate can call Copilot Studio agents from cloud flows. This creates a hybrid architecture in which deterministic automation handles defined steps while agents handle context-dependent decisions.

Microsoft - Natural-language workflow creation
Microsoft's Workflows agent allows users to describe an automation in natural language and generate workflows across Microsoft 365 applications such as Outlook, SharePoint, Teams, and Planner. The capability was initially rolled out through Frontier early access in selected markets.

Automation Anywhere - Department-level automation
In May 2026, Automation Anywhere announced pre-built solutions aimed at automating complete departments, beginning with IT and finance, rather than limiting deployments to individual repetitive tasks. The company also reported that its platform had processed more than one billion IT service requests and announced additional autonomous service-desk capabilities.

Automation Anywhere - Agentic procure-to-pay
In September 2026, Automation Anywhere launched an agentic procure-to-pay solution designed to extend automation across the procurement lifecycle. The move places purchasing, approvals, supplier interactions, and related finance processes within a more autonomous workflow rather than treating each activity as a separate automation.

R&D & Technological Advancements
Multi-agent orchestration and control planes
R&D is shifting from building individual AI agents toward managing large collections of agents. IBM's 2026 work on agentic control planes, ServiceNow's AI Agent Orchestrator, and Google's agent-management architecture all point toward centralized systems that can discover, coordinate, monitor, and govern agents across enterprise environments.

Agent evaluation, observability, and traceability
A new technical priority is determining not only whether an agent completes a task, but how it reached the result. IBM's Trace Inspector, custom LLM-as-a-Judge capabilities, AgentOps, and centralized agent monitoring address the need to inspect agent behavior and continuously improve production systems.

Hybrid RPA + AI agent architectures
Traditional RPA is not disappearing as cognitive automation develops. Deloitte's 2025 analysis recommends maintaining RPA for structured, repeatable activities while using AI agents for dynamic processes that require contextual decisions. This hybrid model is increasingly being reflected in enterprise platforms.

Agent-to-agent interoperability
Enterprise automation is moving toward architectures in which agents created by different vendors or development teams can communicate. SAP added Agent2Agent (A2A) support to Joule Studio, while Google is promoting agent interoperability through open standards and IBM is adding mechanisms to discover and manage agents created on third-party platforms.

Context-aware enterprise agents
The technical focus is increasingly on giving agents access to business context rather than relying solely on large language models. SAP is combining Joule Agents with business-process expertise, enterprise data, identity controls, and its knowledge graph, while Salesforce connects Agentforce to real-time enterprise data and existing workflows.

Predictable execution through programmatic controls
Agent development is also incorporating more deterministic controls. Salesforce's Agent Script, for example, combines natural-language instructions with variables, conditional logic, transitions, and defined actions so that agents do not rely entirely on open-ended LLM interpretation.

Sovereign and controlled AI deployment
Enterprise automation is increasingly being designed around data residency, governance, access controls, and infrastructure choice. IBM has emphasized sovereignty controls in its 2026 AI operating model, while Automation Anywhere has introduced a "Spectrum of Control" approach addressing how enterprises manage AI deployment and infrastructure choices.

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Segments Covered in the Global Cognitive Automation Market:
By Type
The market is segmented into robotic process automation and intelligent automation. Robotic process automation accounts for a significant market share due to its widespread use in automating repetitive, rule-based business processes across finance, healthcare, retail, manufacturing, and IT operations. Intelligent automation is witnessing strong growth driven by the integration of artificial intelligence, machine learning, natural language processing, and advanced analytics, enabling organizations to automate more complex decision-making and data-driven workflows.

By Deployment
The market is divided into cloud-based and on-premise solutions. Cloud-based deployment is gaining significant adoption due to its scalability, flexible infrastructure, lower upfront investment, and easier integration with enterprise AI and automation platforms. On-premise solutions continue to be used by organizations requiring greater control over data, security, compliance, and existing IT infrastructure.

By Organization Size
The market is segmented into small and medium-sized enterprises (SMEs) and large enterprises. Large enterprises account for a significant market share due to their greater investment capacity, complex business processes, large-scale digital transformation programs, and increasing adoption of AI-powered automation. Small and medium-sized enterprises (SMEs) are witnessing growing adoption as cloud-based automation platforms reduce implementation complexity and enable access to scalable automation capabilities.

By End-User
The market is divided into BFSI, Pharma & Healthcare, Retail & Consumer Goods, Information Technology (IT) & Telecom, Communication and Media & Education, Manufacturing, Logistics and Energy & Utilities, and Others. BFSI represents a significant end-user segment due to increasing adoption of cognitive automation for customer onboarding, fraud detection, claims processing, compliance, document processing, and workflow automation. Pharma & Healthcare, IT & Telecom, retail, and manufacturing are also expanding their use of cognitive automation to improve operational efficiency and reduce manual workloads.

By Region
North America - Dominant Region
North America leads the market due to strong adoption of artificial intelligence, mature digital infrastructure, extensive enterprise automation initiatives, and significant investments in intelligent automation technologies across BFSI, healthcare, retail, manufacturing, and IT sectors. The United States represents a major contributor to regional demand through investments in AI, cloud computing, and enterprise automation.

Europe
Europe is experiencing steady growth supported by enterprise digitalization, AI innovation, Industry 4.0 initiatives, and increasing adoption of intelligent automation across manufacturing, financial services, healthcare, and public-sector operations. Germany, the UK, France, and the Netherlands are among the important markets driving regional adoption.

Asia-Pacific - Fastest Growing Region
Asia-Pacific is expanding rapidly due to increasing digital transformation, cloud adoption, AI investments, and the growth of IT services across countries including China, India, Japan, South Korea, and Southeast Asian economies. Growing demand for automation across banking, healthcare, manufacturing, telecommunications, and business services is supporting regional expansion.

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