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Intelligent Process Automation Market Size and Share
Market Overview
| Study Period | 2020 - 2031 |
|---|---|
| Market Size (2026) | USD 17.88 Billion |
| Market Size (2031) | USD 37.54 Billion |
| Growth Rate (2026 - 2031) | 15.98 % CAGR |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players *Disclaimer: Major Players sorted in no particular order. Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0. |
Intelligent Process Automation Market Analysis by Mordor Intelligence
The intelligent process automation market is expected to grow from USD 15.42 billion in 2025 to USD 17.88 billion in 2026 and is forecast to reach USD 37.54 billion by 2031 at 15.98% CAGR over 2026-2031. Growth has been propelled by enterprises replacing rules-based bots with cognitive platforms that merge artificial intelligence, machine learning, and natural-language processing, allowing unstructured data handling and real-time decision making. Pandemic-era supply-chain shocks, emerging AI-governance mandates, and the maturation of cloud-native automation suites widened board-level attention on operational resilience. Early movers in banking, healthcare, and manufacturing reported 25-35% run-rate savings and 50-60% cycle-time cuts after full-scale deployments. Vendors responded with “agentic” capabilities that learn process context and orchestrate complex workflows autonomously, compressing time-to-value for both Fortune 500 and mid-market adopters.
Key Report Takeaways
- By technology, Robotic Process Automation led with 42.84% of the intelligent process automation market share in 2025; Process Mining and Discovery is projected to expand at a 26.4% CAGR to 2031.
- By component, Platform and Software accounted for 63.95% share of the intelligent process automation market size in 2025, while Services is advancing at a 23.6% CAGR through 2031.
- By deployment, cloud models captured 53.90% revenue in 2025 and are forecast to rise at a 22.7% CAGR.
- By organization size, Large Enterprises held 67.90% share of the intelligent process automation market size in 2025; Small and Medium Enterprises record the highest projected CAGR at 21.6% to 2031.
- By end-user vertical, BFSI commanded 28.95% of the intelligent process automation market share in 2025, whereas Healthcare and Life Sciences are set to grow at a 24.6% CAGR.
- By geography, North America led with 36.92% revenue in 2025; Asia-Pacific is the fastest-growing region at 20.7% CAGR to 2031.
Global Intelligent Process Automation Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline | |||
|---|---|---|---|---|---|---|
Demand for operational efficiency and cost reduction
Demand for operational efficiency and cost reduction
| +3.2% | Global | Short term (≤ 2 years) |
(~) % Impact on CAGR Forecast
:
+3.2%
|
Geographic Relevance
:
Global
|
Impact Timeline
:
Short term (≤ 2 years)
|
Advancements in AI and machine learning
Advancements in AI and machine learning
| +4.1% | North America and the EU, APAC core | Medium term (2-4 years) | |||
Growing adoption of cloud-based automation
Growing adoption of cloud-based automation
| +2.8% | Global, early gains in North America, Europe | Short term (≤ 2 years) | |||
Integration with low-code / no-code ecosystems
Integration with low-code / no-code ecosystems
| +2.3% | Global, SME-heavy regions | Medium term (2-4 years) | |||
Sustainability-linked automation for Scope-3 reporting
Sustainability-linked automation for Scope-3 reporting
| +1.7% | EU, North America, select APAC | Long term (≥ 4 years) | |||
Post-quantum cryptography compliance
Post-quantum cryptography compliance
| +1.4% | Government and regulated industries globally | Long term (≥ 4 years) | |||
| Source: Mordor Intelligence | ||||||
Demand for operational efficiency and cost reduction
Enterprise finance, HR, and supply-chain leaders deployed cognitive bots to blunt wage inflation and margin pressure. Post-deployment surveys showed 80% of finance chiefs planning new IPA rollouts and realizing 25-35% annual cost take-outs while halving process cycle times.[1]SolveXia, “32 Finance Automation Trends and Statistics for 2025,” solvexia.com These wins reframed automation from a tactical tool into a foundational element of digital operating models. As more workflows were digitalized, manual interventions created bottlenecks that threatened customer experience, accelerating board approvals for enterprise-wide IPA budgets.
Advancements in AI and machine learning
Generative large-language models let automation platforms interpret context, correct exceptions, and adjudicate decisions once reserved for human analysts. Automation Anywhere’s Process Reasoning Engine showed how AI agents capture enterprise intent and manage end-to-end workflows without rigid scripts. Document-heavy sectors such as legal and healthcare, automated contract review and patient-record coding, are expanding the intelligent process automation market's addressable workload.
Growing adoption of cloud-based automation platforms
Cloud deployments represented 67% of new customer projects by early 2024, up from single digits five years earlier. Subscription pricing aligned costs with realized value, speeding adoption among mid-market firms. Hyperscaler ecosystems bundle AI services, secure APIs, and compliance tooling, enabling global rollouts in days and shrinking infrastructure overheads for even the largest banks.
Integration with low-code / no-code ecosystems
Business users authored automations inside visual builders, reducing reliance on scarce developers. Public-sector agencies built citizen-service workflows in weeks, mitigating talent shortfalls and elevating service quality. Low-code platforms now embed pre-trained AI models, letting non-technical staff orchestrate invoice classification or customer emails without writing code, broadening the intelligent process automation market user base.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline | |||
|---|---|---|---|---|---|---|
Complexity in implementation
Complexity in implementation
| -2.1% | Global, complex enterprise environments | Short term (≤ 2 years) |
(~) % Impact on CAGR Forecast
:
-2.1%
|
Geographic Relevance
:
Global, complex enterprise environments
|
Impact Timeline
:
Short term (≤ 2 years)
|
Data security and privacy concerns
Data security and privacy concerns
| -1.8% | EU (GDPR), North America, and regulated industries globally | Medium term (2-4 years) | |||
Rising costs of specialized AI talent
Rising costs of specialized AI talent
| -1.3% | Global, acute in North America and Western Europe | Medium term (2-4 years) | |||
Regulatory scrutiny under emerging AI laws
Regulatory scrutiny under emerging AI laws
| -1.1% | EU (AI Act), emerging in North America and APAC | Long term (≥ 4 years) | |||
| Source: Mordor Intelligence | ||||||
Complexity in implementation
Deploying AI-infused automation across legacy estates exposed integration gaps, data silos and change-management hurdles. Enterprises underestimated the effort to standardize workflows and tune machine-learning models, delaying go-live by quarters and depressing early ROI. Heterogeneous ERP landscapes lacking modern APIs forced expensive middleware workarounds, while immature best practices for agentic bots raised governance risks.
Data security and privacy concerns
Cloud IPA pipelines move sensitive records through external infrastructure, raising fears of breaches and non-compliance. The EU AI Act obliges explainability, algorithmic-bias audits, and data-lineage tracing, inflating deployment overheads. Post-quantum encryption upgrades loom, compelling vendors to harden cryptographic stacks and customers to reassess risk models before scaling cognitive automations.
Segment Analysis
By Technology: RPA Dominance Meets AI Enhancement
Robotic Process Automation accounted for 42.84% of the intelligent process automation market share in 2025, underscoring its entrenched role as the launchpad of digital workforce programs. Meanwhile, the intelligent process automation market size for Process Mining and Discovery is projected to compound at 26.4% CAGR to 2031 as firms map opaque workflows before injecting AI bots. Early RPA champions such as Arçelik automated 650,000 annual transactions, validating bot reliability in high-volume back offices. Cognitive add-ons—natural-language processing, computer vision, and conversational agents—have pushed automatable use cases into contract analysis, compliance monitoring, and front-office customer support.
The technology stack is now coalescing around agentic orchestration layers that learn context and self-correct. Vendors embed generative AI to summarise documents, extract entities and draft next-best actions, converting static bots into adaptive copilots. Process-mining engines surface bottlenecks and yield real-time heat maps that guide prioritisation. Integrated IPA suites bundle these capabilities, positioning vendors that own the full lifecycle—from discovery to deployment to optimisation—to capture a larger wallet share.
Note: Segment shares of all individual segments available upon report purchase
By Component: Platform Strength Drives Service Growth
Platform and Software offerings held 63.95% revenue in 2025 as buyers demanded unified environments integrating RPA, OCR, NLP, and analytics. Yet Services expanded 23.6% CAGR, signalling project complexity and skills gaps. Consulting units design target-operating models and centre-of-excellence frameworks, while implementation teams knit bots into ERP, CRM, and core-banking stacks. Managed-service providers run bot farms, monitor exceptions, and retrain models, converting IPA from a capital purchase into an outcome-based subscription.
The intelligent process automation market size for managed services will widen as enterprises confront talent scarcity and governance mandates. Vendors package pre-built industry accelerators—loan underwriting, claims adjudication, energy-plant maintenance—to shrink timelines and assure compliance. Citizen-developer enablement programs spur advisory engagements around guardrails, auditability, and lifecycle management.
By Deployment: Cloud Momentum Accelerated
Cloud deployments captured a 53.90% share in 2025, rising with a 22.7% CAGR as businesses shifted from capex to opex models. Intelligent process automation market adoption benefited from hyperscaler AI services—speech-to-text, form-recognition APIs, and large-language-model endpoints—accessible only in cloud regions. Automation Anywhere said 72% of new customers bought cloud subscriptions in 2025. On-premise remains for data-sovereign sectors, but hybrid architectures now dominate regulated industries seeking to isolate PII while tapping cloud elasticity.
Automatic platform updates deliver the latest security patches and model improvements without change-window bottlenecks. Cloud-native telemetry feeds usage analytics into vendor dashboards, enabling proactive support and consumption-based billing. These advantages entice mid-market firms previously priced out of enterprise-grade automation, widening the intelligent process automation market's total addressable base.
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By Organization Size: SME Acceleration Transforms Market
Large Enterprises drove 67.90% revenue in 2025 through cross-functional deployments spanning finance, HR, and supply chain. However, SME adoption surged at 21.6% CAGR after low-code builders and industry templates slashed entry barriers. The intelligent process automation market now counts mid-cap retailers streamlining invoice capture and regional hospitals fast-tracking patient-record coding as mainstream buyers.
Cloud licensing aligns spend with business volume, while training-as-a-service programs upskill citizen developers in days. SMEs leverage vendor marketplaces offering plug-and-play connectors into Payables, Salesforce, or Shopify, bypassing bespoke integrations. As AI model-training costs fall, vertical-specific models reach price points affordable for small teams, further accelerating diffusion.
Note: Segment shares of all individual segments available upon report purchase
By End-User Vertical: BFSI Leadership Meets Healthcare Surge
BFSI retained 28.95% revenue in 2025, automating KYC, loan origination, and Basel reporting. NatWest cut project-approval lead times from 73 days to 73 minutes by embedding IPA in governance workflows. Meanwhile, the intelligent process automation market size tied to Healthcare and Life Sciences is forecast to swell at 24.6% CAGR as providers tackle claims backlogs and patient-record digitisation. UiPath showcases hospitals using bots to reconcile insurance codes and schedule surgeries, trimming administrative overhead.
Manufacturing reached 95% bot adoption or evaluation, leveraging computer-vision QA and predictive maintenance to avert downtime. Retailers automate inventory reconciliation and return management, while logistics players deploy AI-guided route planning to reduce fuel spend and emissions.
Geography Analysis
North America retained 36.92% revenue in 2025 after first-mover enterprises scaled cognitive automation across entire business-process stacks. Government agencies widened adoption for tax processing, benefits, and public health surveillance, further deepening market penetration. Mature compliance frameworks provided clarity for AI audits and model governance, encouraging aggressive rollouts inside health insurers and tier-1 banks.
Asia-Pacific ranked as the fastest-growing region, advancing 20.7% CAGR to 2031. Enterprises leapfrogged on-premise estates, subscribing directly to cloud IPA suites that bundle speech analytics and low-code orchestration. Governments in India and Southeast Asia promoted automation as part of national digital-economy blueprints, subsidising SME adoption and training programs. The young, tech-literate workforce shortened learning curves, enabling rapid citizen-developer uptake and fuelling the intelligent process automation market momentum.
Europe’s stringent GDPR and upcoming AI Act shaped platform requirements around explainability, bias mitigation, and data-sovereignty controls. Vendors added audit logs and algorithmic-risk dashboards to satisfy regulators. Sustainability-linked automations gained traction as firms used IPA to compute Scope-3 emissions and populate ESG disclosures, illustrated by Climatiq’s Autopilot launch that converts procurement spend into carbon metrics. Middle East and Africa and South America remained nascent but reported double-digit growth as manufacturers and banks pursued cost-out programs amid macro headwinds.
Competitive Landscape
Market Concentration
The intelligent process automation market displayed moderate fragmentation in 2025. UiPath, Automation Anywhere, and Microsoft anchored platform ecosystems, while Celonis, SS&C Blue Prism, and industry-specific newcomers targeted process-mining, managed RPA, and vertical templates. Competitive intensity rose through alliances rather than consolidations; UiPath linked with Inflection AI to deliver private-cloud agentic bots for security-sensitive customers. Automation Anywhere embedded Azure OpenAI to let citizen developers build generative-AI agents without leaving its interface.
Specialists gained a share in document understanding and process discovery, exploiting gaps in incumbent portfolios. Low-code vendors bundled native RPA, eroding standalone bot license growth. Vendors now compete on successful time-to-value metrics, security posture, and pre-built domain accelerators rather than raw bot counts. Quantum-safe encryption roadmaps and zero-trust architectures emerged as differentiators for regulated buyers.[4]Lattice Semiconductor, “Cybersecurity Solutions for the AI and Quantum Era,” latticesemi.com
Managed-service integrators forged co-sell pacts with platform providers to deliver end-to-end automation-as-a-service. These alliances address the skills shortage, offering outcome-based SLAs that guarantee exception handling and model retraining. As a result, spend is consolidating with vendors able to orchestrate discovery, design, deployment, and ongoing optimisation under one commercial umbrella.
Intelligent Process Automation Industry Leaders
1 Automation Anywhere, Inc.
2 UiPath Inc.
3 Blue Prism Ltd. (SS&C)
4 IBM Corporation
5 Microsoft Corporation
*Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- May 2025: UiPath and Microsoft integrated agentic AI collaboration, blending UiPath’s process automation with Microsoft’s generative models to support complex cross-app workflows.
- May 2025: Automation Anywhere unveiled its Process Reasoning Engine, enabling autonomous, context-aware workflow orchestration on its Agentic Process Automation platform.
- March 2025: Celonis, Microsoft and Uniper began deploying large-scale process mining and AI automation across Uniper’s energy operations to cut maintenance costs and boost safety.
- February 2025: Public-sector bodies accelerated hybrid-cloud, low-code automation programs to alleviate workforce shortages and enhance citizen services.
Table of Contents for Intelligent Process Automation Industry Report
1. INTRODUCTION
- 1.1Study Assumptions and Market Definition
- 1.2Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET LANDSCAPE
- 4.1Market Overview
- 4.2Market Drivers
- 4.2.1Demand for Operational Efficiency and Cost Reduction
- 4.2.2Advancements in AI and Machine Learning
- 4.2.3Growing Adoption of Cloud-based Automation Platforms
- 4.2.4Integration with Low-Code / No-Code Ecosystems
- 4.2.5Sustainability-Linked Automation for Scope-3 Reporting
- 4.2.6Post-quantum Cryptography Compliance Requirements
- 4.3Market Restraints
- 4.3.1Complexity in Implementation
- 4.3.2Data Security and Privacy Concerns
- 4.3.3Rising Costs of Specialized AI Talent
- 4.3.4Regulatory Scrutiny under Emerging AI Laws
- 4.4Value Chain Analysis
- 4.5Regulatory Landscape
- 4.6Technological Outlook
- 4.7Porter’s Five Forces Analysis
- 4.7.1Bargaining Power of Suppliers
- 4.7.2Bargaining Power of Buyers
- 4.7.3Threat of New Entrants
- 4.7.4Threat of Substitutes
- 4.7.5Intensity of Competitive Rivalry
- 4.8Impact of Macroeconomic Factors
5. MARKET SIZE AND GROWTH FORECASTS (VALUE)
- 5.1By Technology
- 5.1.1Robotic Process Automation (RPA)
- 5.1.2Natural Language Processing (NLP)
- 5.1.3Computer Vision
- 5.1.4Cognitive Agents and Chatbots
- 5.1.5Process Mining and Discovery
- 5.1.6Integrated IPA Suites
- 5.2By Component
- 5.2.1Platform / Software
- 5.2.2Services
- 5.2.2.1Consulting and Advisory
- 5.2.2.2Integration and Implementation
- 5.2.2.3Managed Services
- 5.3By Deployment
- 5.3.1On-premise
- 5.3.2Cloud
- 5.3.3Hybrid
- 5.4By Organization Size
- 5.4.1Large Enterprises
- 5.4.2Small and Medium Enterprises (SMEs)
- 5.5By End-User Vertical
- 5.5.1Banking, Financial Services and Insurance (BFSI)
- 5.5.2Healthcare and Life Sciences
- 5.5.3Manufacturing
- 5.5.4Retail and Ecommerce
- 5.5.5Transportation and Logistics
- 5.5.6Energy and Utilities
- 5.5.7Government and Public Sector
- 5.5.8IT and Telecom
- 5.5.9Hospitality and Travel
- 5.6By Geography
- 5.6.1North America
- 5.6.1.1United States
- 5.6.1.2Canada
- 5.6.1.3Mexico
- 5.6.2South America
- 5.6.2.1Brazil
- 5.6.2.2Argentina
- 5.6.2.3Rest of South America
- 5.6.3Europe
- 5.6.3.1United Kingdom
- 5.6.3.2Germany
- 5.6.3.3France
- 5.6.3.4Italy
- 5.6.3.5Spain
- 5.6.3.6Russia
- 5.6.3.7Rest of Europe
- 5.6.4Asia-Pacific
- 5.6.4.1China
- 5.6.4.2India
- 5.6.4.3Japan
- 5.6.4.4South Korea
- 5.6.4.5ASEAN
- 5.6.4.6Rest of Asia-Pacific
- 5.6.5Middle East and Africa
- 5.6.5.1Middle East
- 5.6.5.1.1Saudi Arabia
- 5.6.5.1.2United Arab Emirates
- 5.6.5.1.3Turkey
- 5.6.5.1.4Rest of Middle East
- 5.6.5.2Africa
- 5.6.5.2.1South Africa
- 5.6.5.2.2Nigeria
- 5.6.5.2.3Rest of Africa
6. COMPETITIVE LANDSCAPE
- 6.1Market Concentration
- 6.2Strategic Moves
- 6.3Market Share Analysis
- 6.4Company 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)
- 6.4.1UiPath Inc.
- 6.4.2Automation Anywhere, Inc.
- 6.4.3Blue Prism Ltd. (SS&C Technologies Holdings, Inc.)
- 6.4.4Pegasystems Inc.
- 6.4.5IBM Corporation
- 6.4.6Microsoft Corporation
- 6.4.7SAP SE
- 6.4.8Appian Corporation
- 6.4.9Tungsten Automation, Inc.
- 6.4.10WorkFusion, Inc.
- 6.4.11NICE Ltd.
- 6.4.12Cognizant Technology Solutions Corporation
- 6.4.13Tata Consultancy Services Limited
- 6.4.14Accenture plc
- 6.4.15Capgemini SE
- 6.4.16Wipro Limited
- 6.4.17Infosys Limited
- 6.4.18HCL Technologies Limited
- 6.4.19OpenText Corporation
- 6.4.20Hyland Software, Inc.
- 6.4.21ABBYY Solutions Limited
- 6.4.22Celonis SE
- 6.4.23Laiye Technology Co., Ltd.
- 6.4.24ServiceNow, Inc.
- 6.4.25Salesforce, Inc.
7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK
- 7.1White-space and Unmet-Need Assessment
Research Methodology Framework and Report Scope
Market Definitions and Key Coverage
Our study, according to Mordor Intelligence, defines the intelligent process automation market as global revenue generated by software platforms, from stand-alone RPA bots to integrated cognitive suites, and the related implementation services that apply AI, machine learning, computer vision, natural language processing, and process-mining to automate repetitive as well as judgment-oriented business workflows.
Scope Exclusion: Pure industrial motion-control hardware and traditional business-process outsourcing fees are excluded.
Segmentation Overview
- By Technology
- Robotic Process Automation (RPA)
- Natural Language Processing (NLP)
- Computer Vision
- Cognitive Agents and Chatbots
- Process Mining and Discovery
- Integrated IPA Suites
- Robotic Process Automation (RPA)
- By Component
- Platform / Software
- Services
- Consulting and Advisory
- Integration and Implementation
- Managed Services
- Consulting and Advisory
- Platform / Software
- By Deployment
- On-premise
- Cloud
- Hybrid
- On-premise
- By Organization Size
- Large Enterprises
- Small and Medium Enterprises (SMEs)
- Large Enterprises
- By End-User Vertical
- Banking, Financial Services and Insurance (BFSI)
- Healthcare and Life Sciences
- Manufacturing
- Retail and Ecommerce
- Transportation and Logistics
- Energy and Utilities
- Government and Public Sector
- IT and Telecom
- Hospitality and Travel
- Banking, Financial Services and Insurance (BFSI)
- By Geography
- North America
- United States
- Canada
- Mexico
- United States
- South America
- Brazil
- Argentina
- Rest of South America
- Brazil
- Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Russia
- Rest of Europe
- United Kingdom
- Asia-Pacific
- China
- India
- Japan
- South Korea
- ASEAN
- Rest of Asia-Pacific
- China
- Middle East and Africa
- Middle East
- Saudi Arabia
- United Arab Emirates
- Turkey
- Rest of Middle East
- Saudi Arabia
- Africa
- South Africa
- Nigeria
- Rest of Africa
- South Africa
- Middle East
- North America
Detailed Research Methodology and Data Validation
Primary Research
We interviewed automation architects, system integrators, and shared-service heads across North America, Europe, and Asia-Pacific to test license-fee ranges, average bot counts per process, and conversion rates from pilots to scaled programs, filling gaps spotted in desk work.
Desk Research
Analysts gathered public data from sources such as United States Bureau of Labor Statistics productivity files, Eurostat ICT surveys, OECD digital-economy indicators, Questel patent libraries, Volza shipment dashboards, and IEEE Intelligent Systems papers. Company filings, investor calls, and technology news streams on Dow Jones Factiva added adoption and pricing clues. The sources named here are only a subset of those consulted.
Market-Sizing & Forecasting
The 2025 baseline was built with a top-down reconstruction of enterprise IT spending that isolates automation budgets by industry, then checked against bottom-up supplier revenue samples and channel inquiries. Core drivers, bot price erosion, cloud-subscription mix, process-mining uptake, service-attach ratios, and generative AI premium uplift, feed a multivariate regression that projects demand to 2030. Missing figures are imputed by benchmarking peers of similar scale and geography.
Data Validation & Update Cycle
Results pass three-layer variance checks and senior review before sign-off. We refresh each model annually, and material market events trigger interim updates so clients receive the latest view.
Why Mordor's Intelligent Process Automation Baseline Commands Reliability
Published numbers differ; one 2024 study quotes USD 14.55 billion, another places the 2025 value at USD 18.26 billion, while a further outlook cites USD 25.9 billion for 2027.
Estimates diverge because each publisher varies service inclusions, rollout assumptions, and currency handling. Mordor's scope stays fixed on platform and enablement revenue only; its exchange rates follow IMF averages, and its refresh cadence is annual, which reduces distortion.
Benchmark comparison
| Market Size | Anonymized source | Primary gap driver | ||
|---|---|---|---|---|
USD 15.42 B (2025) | Mordor Intelligence | Anonymized source:Mordor Intelligence | Primary gap driver: | |
USD 14.55 B (2024) | Global Consultancy A | Counts services only, omits platform subscriptions | ||
USD 18.26 B (2025) | Analyst Firm B | Assumes very high enterprise rollout rates and bundles predictive analytics tools | ||
USD 25.90 B (2027) | Trade Journal C | Extends 2022 growth linearly and ignores price compression |
Taken together, the comparison shows that Mordor Intelligence delivers a balanced and transparent baseline that decision makers can retrace to clearly defined variables and reproducible steps.
Key Questions Answered in the Report
What is the current value of the intelligent process automation market?
The market was valued at USD 17.88 billion in 2026 and is forecast to climb to USD 37.54 billion by 2031.
Which technology segment leads revenue today?
Robotic Process Automation held 42.84% of the intelligent process automation market share in 2025.
Why are cloud deployments growing so quickly?
Cloud models captured 53.90% revenue in 2025 as subscription pricing, built-in AI services, and faster deployment cycles attracted both large enterprises and SMEs.
Which end-user industry is expanding the fastest?
Healthcare and Life Sciences are projected to grow at a 24.6% CAGR, driven by claims automation and electronic medical-record processing.
What regional market will grow the quickest through 2031?
Asia-Pacific is expected to expand at a 20.7% CAGR as enterprises adopt cloud-native automation and governments incentivize digital transformation.
How fragmented is vendor competition?
The market scores 5 on a 1–10 concentration scale, indicating moderate concentration with room for emerging specialists alongside established leaders.
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