Automation-as-a-Service Market Size and Share

Automation-as-a-Service Market (2025 - 2030)
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Automation-as-a-Service Market Analysis by Mordor Intelligence

The Automation-as-a-Service market size stands at USD 10.15 billion in 2025 and is forecast to reach USD 33.12 billion by 2030, advancing at a 26.7% CAGR. Adoption is accelerating as enterprises embed generative-AI features into existing robotic-process-automation investments while containing capital outlays through subscription billing. Robust cloud ecosystems, the rise of low-code design studios, and the emergence of domain marketplaces for ready-made bots are widening the addressable customer base. Integrations that combine process-mining diagnostics with event-driven orchestration allow real-time optimization, pushing automation programs from task level gains to end-to-end workflow redesign. Vendors with vertically integrated stacks that span discovery, build and run phases continue to displace point solutions, especially in regulated industries that demand unified governance[1]ServiceNow, “ServiceNow to Acquire Moveworks,” servicenow.com.

Key Report Takeaways

  • By deployment type, on-premise solutions led with 68.4% of Automation-as-a-Service market share in 2024; cloud deployments are advancing at a 28.4% CAGR through 2030.
  • By component, solution platforms captured 66.8% revenue share in 2024, while services are projected to record a 28.1% CAGR by 2030.
  • By business function, IT operations held 45.3% of the Automation-as-a-Service market size in 2024; sales and marketing workflows are growing fastest at 27.5% CAGR.
  • By enterprise size, large enterprises commanded 71.8% revenue share in 2024; SMEs are set to expand at 27.8% CAGR, helped by usage-based billing.
  • By end-user vertical, telecom and IT accounted for 22.9% of 2024 revenues, whereas BFSI is forecast to climb at a 26.9% CAGR to 2030.
  • By geography, North America contributed 38.6% revenue in 2024; Asia-Pacific is on track to post a 27.3% CAGR through 2030.

Segment Analysis

By Deployment Type: Cloud Adoption Gains Ground

On-premise installations retained 68.4% share of the Automation-as-a-Service market in 2024, reflecting strict sovereignty mandates and sunk hardware investments within finance and public-sector domains. Nevertheless, cloud variants are expanding at a 28.4% CAGR as organisations migrate non-critical workflows and development sandboxes to reduce infrastructure upkeep. Vendors now provide single-tenant VPC options that satisfy audit requirements while preserving elastic scale and automated patching. Edge deployments process data locally for latency-sensitive tasks before routing enriched payloads to central analytics, creating a hybrid topology that balances performance with governance. Contracts increasingly bundle both operating modes under unified dashboards, enabling administrators to shift workloads dynamically based on cost or compliance triggers. This flexibility positions cloud models as the long-run growth engine of the Automation-as-a-Service market, particularly for green-field digital businesses that never owned data-centre assets.

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By Component: Rising Services Intensity

Solutions accounted for 66.8% revenue in 2024 as platform licences and bot-authoring studios formed the entry point for most buyers. The services segment, however, is forecast to outpace software sales at 28.1% CAGR through 2030 as enterprises seek design thinking, change management and continuous-improvement expertise. Managed-service providers curate runbooks, monitor bot health and apply security patches, letting customers focus on core innovation. Advisory firms within the vendor ecosystem package process-mining diagnostics with hyper-automation blueprints, accelerating time to value without ballooning headcount. As complexity rises, service quality becomes a key differentiator, reinforcing ecosystem lock-in and boosting lifetime contract values across the Automation-as-a-Service market.

By Business Function: Revenue Operations Lead Momentum

IT operations captured 45.3% of Automation-as-a-Service market share in 2024, reflecting their historic stewardship of orchestration tools. Sales and marketing workloads, however, are scaling fastest at 27.5% CAGR as organisations streamline lead qualification, dynamic pricing and content personalisation. Customer-relationship-management data feeds bots that generate targeted offers, while AI classifiers route inquiries to the most qualified agents. Finance, HR and supply-chain teams follow closely, piloting payables matching, onboarding and inventory-replenishment scenarios. Cross-functional playbooks are emerging where a single process spans revenue, fulfillment and support, increasing demand for platforms that can enforce data consistency across silos. This breadth underscores the growing strategic relevance of the Automation-as-a-Service market within enterprise transformation roadmaps.

By Enterprise Size: SME Democratization

Large enterprises commanded 71.8% of 2024 spend, yet SMEs demonstrate stronger momentum at 27.8% CAGR thanks to consumption-based pricing and low-code design surfaces. Starter licences bundle connector packs, community templates and sandbox capacity, allowing small teams to pilot within days rather than quarters. Vendors also offer outcome-based service tiers where fees correlate with realised savings, reducing perceived risk. Although SMEs initially automate narrow tasks such as invoice capture or email triage, successful pilots often expand into multi-department programs. As this cohort matures, it will supply a diversified revenue stream that insulates the Automation-as-a-Service market from cyclicality in large-enterprise capex.

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By End-User Vertical: BFSI Sets the Pace

Telecom and IT services held 22.9% of revenue in 2024, reflecting continuous network-management demands and established DevOps cultures. Banking, financial-services and insurance firms are projected to record a 26.9% CAGR as compliance reporting, fraud analytics and digital-onboarding workflows become automation priorities. Regulated audit trails favour platforms with immutable logs and granular role-based controls, nudging procurement decisions towards vendors that internalise governance capabilities. Healthcare providers automate prior-authorisation checks and clinical-coding tasks, while manufacturers target plant-floor inspections and quality dashboards. The breadth of industry use cases reinforces the universality of the Automation-as-a-Service market proposition and gives vendors multiple expansion vectors.

Geography Analysis

North America holds leadership with 38.6% revenue in 2024, supported by mature hyperscale data centres, a dense partner network and early platform adoption that spans finance, healthcare and public services. United States corporations deploy cognitive bots that reconcile data across ERP, CRM and vertical clouds, pushing platform utilisation rates above global averages. Canada accelerates public-sector use, while Mexico leverages automation to enhance near-shoring competitiveness in manufacturing.

Asia-Pacific registers the fastest growth at 27.3% CAGR through 2030. The ASEAN Digital Masterplan 2025 catalyses cross-border digital-service standards, spurring public-sector automation that quickly permeates private enterprises[3]Economic Research Institute for ASEAN and East Asia, “ASEAN Digital Masterplan 2025,” eria.org. China scales factory-floor robotics and city-administration bots, India modernises IT-service workflows, and Japan addresses labour shortages with conversational agents for elder-care. South Korea pilots 5G-enabled edge automations, while Australia focuses on mining-sector process efficiency.

Europe adopts a measured stance that balances innovation with rigorous data-protection oversight. GDPR and proposed AI-governance acts prompt demand for explainable workflows and built-in audit logs. Switzerland, Sweden and Germany exhibit the highest penetration rates, with banks and manufacturers integrating AI copilots into critical operations. Southern-European economies rely on EU funding for digitalisation, creating fresh bids for platform-as-a-service contracts. These dynamics keep the Automation-as-a-Service market resilient across varying macro-economic backdrops.

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Competitive Landscape

The Automation-as-a-Service market is moderately fragmented, featuring specialist RPA leaders, cloud hyperscalers and emerging AI-native challengers. UiPath, Automation Anywhere and Blue Prism extend their suites with process-mining dashboards, while Microsoft and Google embed orchestration hooks inside productivity clouds. ServiceNow deepened its portfolio by acquiring Moveworks for USD 2.85 billion, folding conversational AI into workflow design and bringing an installed base of 1,000 AI customers under one umbrella. IBM, Oracle and Salesforce integrate automation layers with sector-specific data models, targeting regulated verticals that value policy-aware templates.

Open-source frameworks, headlined by Robot Framework and LangChain-based agent builders, lower entry barriers for niche vendors that specialise in language, regulation or hardware integration. Meanwhile, bot marketplaces reward third-party creators for publishing pre-certified components, adding long-tail use cases to platform catalogs and raising switching costs. Strategic alliances between platform providers and cybersecurity firms address rising concerns over insider risk and credential sprawl. Overall, competitive intensity is fuelling rapid feature convergence but also driving consolidation as scale efficiencies in model training and global support become decisive.

Automation-as-a-Service Industry Leaders

  1. IBM Corporation

  2. Microsoft Corporation

  3. Automation Anywhere, Inc.

  4. Blue Prism Group PLC

  5. Uipath Inc.

  6. *Disclaimer: Major Players sorted in no particular order
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Recent Industry Developments

  • March 2025: Celonis initiated antitrust proceedings against SAP, alleging data-access restrictions that disadvantage independent process-mining suppliers.
  • March 2025: ServiceNow completed the USD 2.85 billion acquisition of Moveworks, integrating AI assistant and enterprise-search functions to elevate end-user experience and automation scope.
  • February 2025: Workato released its Automation and AI Index, reporting a 400% surge in generative-AI use cases and highlighting revenue operations as the top functional adopter.
  • September 2024: The United Nations E-Government Survey emphasised the role of AI in achieving Sustainable Development Goals, noting improved EGDI scores across member states.

Table of Contents for Automation-as-a-Service Industry Report

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 demand for business-process automation
    • 4.2.2 Cloud-first IT strategies accelerating AaaS adoption
    • 4.2.3 Convergence of RPA with Gen-AI for hyper-automation
    • 4.2.4 Subscription and usage-based pricing lowering SME entry barriers
    • 4.2.5 Emergence of domain-specific bot marketplaces
    • 4.2.6 Integration of process-mining insights to drive end-to-end automation
  • 4.3 Market Restraints
    • 4.3.1 Data-security and privacy concerns in multi-tenant clouds
    • 4.3.2 Integration complexity with legacy/on-prem systems
    • 4.3.3 Regulatory scrutiny over algorithmic transparency and ethics
    • 4.3.4 Scarcity of low-code automation governance talent
  • 4.4 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 Consumers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitute Products
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 Assessment of the Impact of Macroeconomic Trends on the Market

5. MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Deployment Type
    • 5.1.1 On-premise
    • 5.1.2 Cloud
  • 5.2 By Component
    • 5.2.1 Solution
    • 5.2.2 Services
  • 5.3 By Business Function
    • 5.3.1 Information Technology
    • 5.3.2 Finance and Accounting
    • 5.3.3 Human Resources
    • 5.3.4 Sales and Marketing
    • 5.3.5 Operations / Supply-Chain
  • 5.4 By Enterprise Size
    • 5.4.1 Large Enterprises
    • 5.4.2 Small and Medium Enterprises (SMEs)
  • 5.5 By End-user Vertical
    • 5.5.1 BFSI
    • 5.5.2 Telecom and IT
    • 5.5.3 Retail and Consumer Goods
    • 5.5.4 Healthcare and Life Sciences
    • 5.5.5 Manufacturing
    • 5.5.6 Government and Public Sector
    • 5.5.7 Other End-user Verticals
  • 5.6 Geography
    • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
    • 5.6.2 Europe
    • 5.6.2.1 Germany
    • 5.6.2.2 United Kingdom
    • 5.6.2.3 France
    • 5.6.2.4 Italy
    • 5.6.2.5 Spain
    • 5.6.2.6 Rest of Europe
    • 5.6.3 Asia-Pacific
    • 5.6.3.1 China
    • 5.6.3.2 Japan
    • 5.6.3.3 India
    • 5.6.3.4 South Korea
    • 5.6.3.5 Australia and New Zealand
    • 5.6.3.6 Rest of Asia-Pacific
    • 5.6.4 South America
    • 5.6.4.1 Brazil
    • 5.6.4.2 Argentina
    • 5.6.4.3 Rest of South America
    • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
    • 5.6.5.1.1 Saudi Arabia
    • 5.6.5.1.2 United Arab Emirates
    • 5.6.5.1.3 Turkey
    • 5.6.5.1.4 Rest of Middle East
    • 5.6.5.2 Africa
    • 5.6.5.2.1 South Africa
    • 5.6.5.2.2 Egypt
    • 5.6.5.2.3 Nigeria
    • 5.6.5.2.4 Rest of Africa

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, Products and Services, and Recent Developments)
    • 6.4.1 Automation Anywhere
    • 6.4.2 UiPath
    • 6.4.3 Blue Prism
    • 6.4.4 IBM
    • 6.4.5 Microsoft
    • 6.4.6 HCLTech
    • 6.4.7 Hewlett Packard Enterprise
    • 6.4.8 Kofax
    • 6.4.9 NICE
    • 6.4.10 Pegasystems
    • 6.4.11 ServiceNow
    • 6.4.12 Appian
    • 6.4.13 SAP
    • 6.4.14 Oracle
    • 6.4.15 Salesforce (MuleSoft/RPA)
    • 6.4.16 WorkFusion
    • 6.4.17 Celonis
    • 6.4.18 Nintex
    • 6.4.19 Workato
    • 6.4.20 AutomationEdge

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment
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Research Methodology Framework and Report Scope

Market Definitions and Key Coverage

Mordor Intelligence defines the Automation-as-a-Service (AaaS) market as software-driven platforms delivered through subscription or usage-based models that orchestrate rule-based and AI-enhanced tasks across business functions, irrespective of whether bots run in the cloud or on-premise. Revenue from perpetual RPA licenses, custom system-integration projects, and hardware-centric robotic offerings is excluded.

Scope exclusion: proprietary robotic work-cells and one-off professional-services contracts lie outside our sizing.

Segmentation Overview

  • By Deployment Type
    • On-premise
    • Cloud
  • By Component
    • Solution
    • Services
  • By Business Function
    • Information Technology
    • Finance and Accounting
    • Human Resources
    • Sales and Marketing
    • Operations / Supply-Chain
  • By Enterprise Size
    • Large Enterprises
    • Small and Medium Enterprises (SMEs)
  • By End-user Vertical
    • BFSI
    • Telecom and IT
    • Retail and Consumer Goods
    • Healthcare and Life Sciences
    • Manufacturing
    • Government and Public Sector
    • Other End-user Verticals
  • Geography
    • North America
      • United States
      • Canada
      • Mexico
    • Europe
      • Germany
      • United Kingdom
      • France
      • Italy
      • Spain
      • Rest of Europe
    • Asia-Pacific
      • China
      • Japan
      • India
      • South Korea
      • Australia and New Zealand
      • Rest of Asia-Pacific
    • South America
      • Brazil
      • Argentina
      • Rest of South America
    • Middle East and Africa
      • Middle East
        • Saudi Arabia
        • United Arab Emirates
        • Turkey
        • Rest of Middle East
      • Africa
        • South Africa
        • Egypt
        • Nigeria
        • Rest of Africa

Detailed Research Methodology and Data Validation

Primary Research

Telephone and online interviews with automation platform product managers, regional cloud-service resellers, and process-improvement leads in BFSI, telecom, and healthcare helped us stress-test adoption rates, average contract values, and pay-per-bot pricing that we spotted in desk work.

Desk Research

Our analysts drew on credible public sources such as the US Bureau of Labor Statistics, Eurostat ICT spending dashboards, Reserve Bank of India digital-payments data, and trade-association white papers from MESA and TM Forum, complemented by company 10-Ks and investor decks. Subscription databases, including D&B Hoovers for vendor financials and Dow Jones Factiva for deal tracking, helped us benchmark growth signals and pricing moves. These references illustrate, not exhaust, the secondary corpus we reviewed.

Two further passes mined patent trends via Questel and shipment splits from Volza to verify technology diffusion and regional adoption patterns before numbers entered the model.

Market-Sizing & Forecasting

A top-down demand pool, built from enterprise software outlays and cloud-services spend, was matched with industry-level automation penetration ratios. Supplier roll-ups of sampled annual contract value offered a selective bottom-up check. Key variables like average digital-worker price, bot-per-employee ratios, cloud workload migration rate, regulatory triggers for audit trails, and macro IT spending anchor the model. A multivariate regression, validated through ARIMA back-casts, projects the 2025-2030 curve; gaps in bottom-up inputs are bridged using weighted regional proxies.

Data Validation & Update Cycle

Outputs undergo anomaly scans, senior-analyst peer review, and variance checks against independent signals. We refresh the file each year and trigger mid-cycle updates if material events, such as large M&A, new usage taxes, and hyperscaler price cuts, shift the baseline.

Why Mordor's Automation As A Service Baseline Commands Reliability

Published values often diverge because firms apply differing scope lines, contract types, and refresh cadences.

Key gap drivers include: some studies fold workflow or testing suites into AaaS revenue, others quote bookings instead of recognized revenue, and many roll forward older baselines with blanket growth factors, whereas our team revisits every driver yearly and narrows inputs to true pay-as-you-go automation services.

Benchmark comparison

Market Size Anonymized source Primary gap driver
USD 10.15 B (2025) Mordor Intelligence -
USD 14.8 B (2024) Global Consultancy A Bundles adjacent workflow and AIaaS tools, inflating total
USD 9.4 B (2024) Industry Association B Converts contracts at booking value, not annualized spend
USD 2.04 B (2024) Trade Journal C Tracks only pure-play cloud subscriptions, excludes on-prem share

Taken together, the comparison shows that Mordor's disciplined scope selection, variable-level modelling, and annual refresh provide a balanced, transparent baseline that decision-makers can trace and replicate with confidence.

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Key Questions Answered in the Report

What is the current valuation of the Automation-as-a-Service market?

The market is valued at USD 10.15 billion in 2025 and is projected to expand to USD 33.12 billion by 2030.

Which region contributes the most revenue?

North America leads with 38.6% of 2024 revenue thanks to mature cloud infrastructure and early enterprise adoption.

Which deployment model is growing fastest?

Cloud deployments are advancing at a 28.4% CAGR as organisations prioritise scalability and lower infrastructure overhead.

Which business function shows the highest growth?

Sales and marketing workflows represent the fastest-growing segment with a 27.5% CAGR, driven by revenue-operations automation.

How does pricing influence SME adoption?

Subscription and usage-based billing lowers upfront costs, allowing SMEs to adopt enterprise-grade automation and grow at a 27.8% CAGR.

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