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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1797751

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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1797751

RPA Platform Training Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

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The Global RPA Platform Training Market was valued at USD 1.2 billion in 2024 and is estimated to grow at a CAGR of 18.5% to reach USD 5.4 billion by 2034. As robotic process automation platforms continue to evolve and integrate with advanced technologies like AI, NLP, and OCR, training has shifted from a basic technical skill to a core enterprise-level requirement. Companies now view structured, ongoing upskilling as critical for achieving automation outcomes at scale. This transformation is accelerating the demand for specialized, role-based training paths tailored to developers, analysts, and business users alike.

RPA Platform Training Market - IMG1

The increasing reliance on automation across industries has driven a surge in hybrid and modular learning programs. Governments and the private sector are also launching collaborative skilling efforts to close talent gaps. Virtual learning formats gained traction during the pandemic and remain dominant due to their accessibility and scalability. Enterprise clients heavily favor certifications aligned with specific platforms, which ensures standardized implementation and governance across automation initiatives. Certifications from dominant vendors are becoming standard hiring criteria. With training now deeply embedded in digital transformation agendas, learning platforms are scaling up to serve both corporate learners and individuals entering the automation workforce.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$1.2 Billion
Forecast Value$5.4 Billion
CAGR18.5%

The online training segment held a 39% share in 2024 and will grow at a 20% CAGR through 2034. Virtual delivery is the preferred mode across business functions, given its flexible, on-demand nature and ability to support distributed teams. These digital programs include interactive modules on bot building, orchestration, and compliance, making them highly scalable and aligned with enterprise automation goals.

The UiPath training segment held a 42% share in 2024 and is anticipated to grow at a CAGR of 20% through 2034. Its ecosystem has become instrumental in building automation capability across businesses, universities, and independent learners. Through structured programs designed for both technical and non-technical users, UiPath delivers consistent, scalable content via its robust learning platform. These resources support upskilling across a wide range of roles while reinforcing enterprise readiness for automation adoption.

United States RPA Platform Training Market held an 82% share in 2024, generating USD 335.7 million. The country continues to lead due to high automation adoption among large enterprises, a mature digital learning infrastructure, and a vibrant network of EdTech platforms. Its leadership in AI innovation and corporate digital transformation further contributes to strong demand for RPA-specific upskilling programs.

The major players shaping the RPA Platform Training Market include Automation Anywhere, UiPath, SS&C Blue Prism, Coursera, Simplilearn, Udemy, and Edureka. To strengthen their market foothold, companies in the RPA platform training space are developing structured, role-specific learning paths and globally recognized certifications to meet enterprise demands for standardization and talent readiness. Strategic alliances with academic institutions, enterprise clients, and governments are also enabling broader access to curated content and certification tracks. Leading platforms are continuously upgrading content to include the latest advancements in AI and automation while investing in cloud-based delivery for seamless access. Companies are also launching multilingual training modules and mobile-friendly platforms to scale globally.

Product Code: 14396

Table of Contents

Chapter 1 Methodology

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/Country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast model
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Training
    • 2.2.3 Platform
    • 2.2.4 Enterprise Size
    • 2.2.5 Delivery Mode
    • 2.2.6 End Use
  • 2.3 TAM Analysis, 2025-2034
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Rising adoption of RPA across industries
      • 3.2.1.2 Digital transformation initiatives
      • 3.2.1.3 Growing demand for RPA certifications
      • 3.2.1.4 Integration of AI with RPA
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 Lack of standardized curriculum
      • 3.2.2.2 Limited Awareness among non-tech professionals
    • 3.2.3 Market opportunities
      • 3.2.3.1 Micro-certifications and skill badging
      • 3.2.3.2 AI integration into learning platforms
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 North America
    • 3.4.2 Europe
    • 3.4.3 Asia Pacific
    • 3.4.4 Latin America
    • 3.4.5 Middle East & Africa
  • 3.5 Porter's analysis
  • 3.6 PESTEL analysis
  • 3.7 Technology and Innovation landscape
    • 3.7.1 Current technological trends
    • 3.7.2 Emerging technologies
  • 3.8 Skills gap analysis and workforce development
    • 3.8.1 Current RPA skills shortage assessment
    • 3.8.2 Future workforce requirements
    • 3.8.3 Reskilling and upskilling initiatives
    • 3.8.4 Corporate training vs individual certification
    • 3.8.5 Academic institution partnerships
    • 3.8.6 Government training programs
    • 3.8.7 Career path development in RPA
  • 3.9 Pricing analysis and cost models
    • 3.9.1 Training cost structure analysis
    • 3.9.2 Vendor pricing strategies
    • 3.9.3 Subscription vs one-time payment models
    • 3.9.4 Corporate training package pricing
    • 3.9.5 Certification cost analysis
    • 3.9.6 ROI assessment for training investments
    • 3.9.7 Cost comparison across platforms
  • 3.10 Patent analysis
  • 3.11 Sustainability and environmental aspects
    • 3.11.1 Sustainable practices
    • 3.11.2 Waste reduction strategies
    • 3.11.3 Energy efficiency in production
    • 3.11.4 Eco-friendly Initiatives
    • 3.11.5 Carbon footprint considerations
  • 3.12 Use cases
  • 3.13 Best-case scenario

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New product launches
    • 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Training, 2021 - 2034 ($Mn)

  • 5.1 Key trends
  • 5.2 Online/Virtual training
  • 5.3 Classroom training
  • 5.4 Corporate/Enterprise training
  • 5.5 Certification programs

Chapter 6 Market Estimates & Forecast, By Platform, 2021 - 2034 ($Mn)

  • 6.1 Key trends
  • 6.2 UiPath
  • 6.3 Automation anywhere
  • 6.4 Blue prism
  • 6.5 Others

Chapter 7 Market Estimates & Forecast, By Enterprise Size, 2021 - 2034 ($Mn)

  • 7.1 Key trends
  • 7.2 SME
  • 7.3 Large enterprises

Chapter 8 Market Estimates & Forecast, By Delivery Mode, 2021 - 2034 ($Mn)

  • 8.1 Key trends
  • 8.2 Self-paced learning
  • 8.3 Instructor-Led Training (ILT)
  • 8.4 Blended learning
  • 8.5 Workshops & bootcamps

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Mn)

  • 9.1 Key trends
  • 9.2 Students
  • 9.3 IT Professionals
  • 9.4 Enterprise employees
  • 9.5 Freelancers/consultants

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Nordics
    • 10.3.7 Russia
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Southeast Asia
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 Saudi Arabia
    • 10.6.3 UAE

Chapter 11 Company Profiles

  • 11.1 Automation Anywhere
  • 11.2 Besant Technologies
  • 11.3 Codecademy
  • 11.4 Cognixia
  • 11.5 Coursera
  • 11.6 Edureka
  • 11.7 Great Learning
  • 11.8 GreyCampus
  • 11.9 Intellipaat
  • 11.10 Kelly Technologies
  • 11.11 LinkedIn Learning
  • 11.12 MindMajix
  • 11.13 NobleProg
  • 11.14 Pluralsight
  • 11.15 RPA Academy
  • 11.16 Simplilearn
  • 11.17 Skillsoft
  • 11.18 SS&C Blue Prism
  • 11.19 Udemy
  • 11.20 UiPath
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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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