Poland Executive Education in Tech & AI Market

Poland executive education in tech & AI market, valued at USD 1.1 billion, grows due to demand for skilled professionals, key cities like Warsaw, and national AI policies.

Region:Europe

Author(s):Rebecca

Product Code:KRAB1690

Pages:86

Published On:October 2025

About the Report

Base Year 2024

Poland Executive Education in Tech & AI Market Overview

  • The Poland Executive Education in Tech & AI Market is valued at USD 1.1 billion, based on a five-year historical analysis. This growth is primarily driven by the increasing demand for skilled professionals in technology and artificial intelligence, as businesses seek to enhance their digital capabilities and remain competitive in a rapidly evolving landscape. The expansion of Poland’s technology sector, rapid digitalization, and the influx of foreign investment in tech and AI are significant growth drivers, with major cities serving as innovation hubs and attracting global companies and talent .
  • Key cities such as Warsaw, Krakow, and Wroclaw dominate the market due to their robust educational institutions, vibrant tech ecosystems, and a high concentration of corporate headquarters. These urban centers attract both local and international talent, fostering innovation and collaboration in the tech and AI sectors .
  • In 2023, the Polish government implemented the “National Artificial Intelligence Development Policy 2020–2027” (Polityka rozwoju sztucznej inteligencji w Polsce na lata 2020–2027) issued by the Ministry of Digital Affairs. This regulation aims to promote digital skills development among the workforce, including funding for educational programs in technology and AI, and mandates collaboration between educational institutions and industry to ensure professionals acquire competencies aligned with labor market needs .
Poland Executive Education in Tech & AI Market Size

Poland Executive Education in Tech & AI Market Segmentation

By Type:The market is segmented into various types of educational offerings, including short courses, certificate programs, degree programs, workshops, online courses, blended learning programs, executive bootcamps, and corporate custom programs. Among these, online courses have gained significant traction due to their flexibility and accessibility, allowing professionals to upskill at their own pace. The demand for short courses is also notable, as they provide targeted learning experiences that cater to specific industry needs. The rise of blended learning and executive bootcamps reflects the growing preference for hybrid and intensive, application-focused formats among executives and tech professionals .

Poland Executive Education in Tech & AI Market segmentation by Type.

By End-User:The end-user segmentation includes corporates, government agencies, non-profit organizations, educational institutions, and tech startups. Corporates are the leading segment, as companies increasingly invest in executive education to enhance their workforce's skills in technology and AI. This trend is driven by the need for organizations to stay competitive and adapt to technological advancements. Government agencies and educational institutions are also significant contributors, reflecting national priorities in digital transformation and workforce upskilling .

Poland Executive Education in Tech & AI Market segmentation by End-User.

Poland Executive Education in Tech & AI Market Competitive Landscape

The Poland Executive Education in Tech & AI Market is characterized by a dynamic mix of regional and international players. Leading participants such as Kozminski University, Warsaw University of Technology, University of Economics in Katowice, WSB University, Executive Education at the University of Gdansk, University of Wroclaw, Poznan University of Economics and Business, Cracow University of Economics, University of Lodz, SWPS University, Vistula University, Kozminski Business School, Gdansk University of Technology, University of Silesia, University of Zielona Góra, SGH Warsaw School of Economics, Akademia Leona Ko?mi?skiego, Data Science Academy Poland, Future Collars, Coders Lab, Sages, Infoshare Academy, AI Business School Poland, Polish-Japanese Academy of Information Technology contribute to innovation, geographic expansion, and service delivery in this space.

Kozminski University

1993

Warsaw

Warsaw University of Technology

1826

Warsaw

University of Economics in Katowice

1937

Katowice

WSB University

1998

D?browa Górnicza

Executive Education at the University of Gdansk

1970

Gdansk

Company

Establishment Year

Headquarters

Number of Executive Tech/AI Programs Offered

Annual Enrollment in Tech/AI Executive Programs

Revenue from Executive Tech/AI Education (PLN)

Corporate Client Portfolio Size

Course Completion Rate

Customer Retention Rate

Poland Executive Education in Tech & AI Market Industry Analysis

Growth Drivers

  • Increasing Demand for Tech Skills:The demand for tech skills in Poland is surging, with over 200,000 job vacancies in the IT sector reported in future. The World Bank indicates that Poland's digital economy is projected to grow by 12% annually, driven by the need for skilled professionals in AI and data analytics. This trend is further supported by a 25% increase in tech-related enrollments in executive education programs, highlighting the urgency for upskilling in the workforce.
  • Government Initiatives in AI Education:The Polish government has allocated approximately €120 million for AI education initiatives in future, aiming to enhance the country's competitiveness in the tech sector. This funding supports the establishment of new training programs and partnerships with educational institutions. Additionally, the government’s "Digital Poland" strategy aims to integrate AI into various sectors, fostering a skilled workforce equipped to meet future challenges in technology and innovation.
  • Corporate Investment in Employee Training:In future, Polish companies invested around €1.8 billion in employee training, with a significant portion directed towards tech and AI skills development. This investment reflects a growing recognition of the importance of continuous learning in maintaining competitive advantage. Notably, 65% of firms reported increasing their training budgets, indicating a robust commitment to enhancing employee capabilities in response to evolving market demands.

Market Challenges

  • High Competition Among Providers:The executive education market in Poland is characterized by intense competition, with over 160 institutions offering tech and AI programs. This saturation leads to price wars and challenges in differentiating offerings. According to industry reports, 45% of providers struggle to maintain enrollment levels, as prospective students often find it difficult to choose between numerous similar programs, impacting overall market growth.
  • Rapidly Changing Technology Landscape:The fast-paced evolution of technology poses a significant challenge for educational providers. In future, it is estimated that 75% of the skills required in tech will change within five years, necessitating constant curriculum updates. Institutions face difficulties in keeping pace with these changes, leading to potential gaps in the relevance of their programs. This dynamic environment can deter potential students who seek up-to-date training.

Poland Executive Education in Tech & AI Market Future Outlook

The future of the executive education market in Poland is poised for transformation, driven by the integration of innovative learning technologies and a focus on personalized education. As organizations increasingly prioritize employee development, the demand for tailored programs that address specific corporate needs will rise. Additionally, the emphasis on soft skills alongside technical training will become crucial, ensuring that graduates are well-rounded and prepared for the complexities of the modern workplace.

Market Opportunities

  • Expansion of Hybrid Learning Models:The shift towards hybrid learning models presents a significant opportunity for educational providers. With 70% of learners preferring a blend of online and in-person training, institutions can capitalize on this trend by developing flexible programs that cater to diverse learning preferences, enhancing accessibility and engagement for students across Poland.
  • Partnerships with Tech Companies:Collaborations with leading tech firms can enhance program relevance and attract more students. In future, partnerships are expected to increase by 30%, allowing educational institutions to offer real-world projects and internships. This alignment with industry needs not only enriches the curriculum but also improves job placement rates for graduates, making programs more attractive.

Scope of the Report

SegmentSub-Segments
By Type

Short Courses

Certificate Programs

Degree Programs

Workshops

Online Courses

Blended Learning Programs

Executive Bootcamps

Corporate Custom Programs

By End-User

Corporates

Government Agencies

Non-Profit Organizations

Educational Institutions

Tech Startups

By Delivery Mode

In-Person Training

Online Learning

Hybrid Learning

Immersive/Experiential Learning

By Subject Area

Artificial Intelligence

Data Science

Cybersecurity

Software Development

Cloud Computing

Digital Transformation & Leadership

By Duration

Short-Term (Less than 3 months)

Medium-Term (3 to 6 months)

Long-Term (More than 6 months)

By Certification Type

Accredited Certifications

Non-Accredited Certifications

By Pricing Tier

Premium

Mid-Range

Budget

Key Target Audience

Investors and Venture Capitalist Firms

Government and Regulatory Bodies (e.g., Ministry of Digital Affairs, Polish Financial Supervision Authority)

Corporate Training Departments

Technology Startups

Industry Associations (e.g., Polish Chamber of Commerce, Polish Information Technology Society)

Non-Governmental Organizations (NGOs) focused on technology and education

Professional Development Organizations

Corporate Executives and Decision Makers in Tech Firms

Players Mentioned in the Report:

Kozminski University

Warsaw University of Technology

University of Economics in Katowice

WSB University

Executive Education at the University of Gdansk

University of Wroclaw

Poznan University of Economics and Business

Cracow University of Economics

University of Lodz

SWPS University

Vistula University

Kozminski Business School

Gdansk University of Technology

University of Silesia

University of Zielona Gora

SGH Warsaw School of Economics

Akademia Leona Kozminskiego

Data Science Academy Poland

Future Collars

Coders Lab

Sages

Infoshare Academy

AI Business School Poland

Polish-Japanese Academy of Information Technology

Table of Contents

Market Assessment Phase

1. Executive Summary and Approach


2. Poland Executive Education in Tech & AI Market Overview

2.1 Key Insights and Strategic Recommendations

2.2 Poland Executive Education in Tech & AI Market Overview

2.3 Definition and Scope

2.4 Evolution of Market Ecosystem

2.5 Timeline of Key Regulatory Milestones

2.6 Value Chain & Stakeholder Mapping

2.7 Business Cycle Analysis

2.8 Policy & Incentive Landscape


3. Poland Executive Education in Tech & AI Market Analysis

3.1 Growth Drivers

3.1.1 Increasing Demand for Tech Skills
3.1.2 Government Initiatives in AI Education
3.1.3 Corporate Investment in Employee Training
3.1.4 Rise of Online Learning Platforms

3.2 Market Challenges

3.2.1 High Competition Among Providers
3.2.2 Rapidly Changing Technology Landscape
3.2.3 Limited Awareness of Executive Education Benefits
3.2.4 Economic Uncertainty Affecting Budgets

3.3 Market Opportunities

3.3.1 Expansion of Hybrid Learning Models
3.3.2 Partnerships with Tech Companies
3.3.3 Customization of Programs for Corporates
3.3.4 Focus on Soft Skills in Tech Education

3.4 Market Trends

3.4.1 Growth of Micro-Credentials
3.4.2 Emphasis on Lifelong Learning
3.4.3 Integration of AI in Learning Platforms
3.4.4 Increased Focus on Data-Driven Decision Making

3.5 Government Regulation

3.5.1 Accreditation Standards for Educational Institutions
3.5.2 Funding Programs for Tech Education
3.5.3 Data Protection Regulations in Education
3.5.4 Policies Supporting Digital Transformation

4. SWOT Analysis


5. Stakeholder Analysis


6. Porter's Five Forces Analysis


7. Poland Executive Education in Tech & AI Market Market Size, 2019-2024

7.1 By Value

7.2 By Volume

7.3 By Average Selling Price


8. Poland Executive Education in Tech & AI Market Segmentation

8.1 By Type

8.1.1 Short Courses
8.1.2 Certificate Programs
8.1.3 Degree Programs
8.1.4 Workshops
8.1.5 Online Courses
8.1.6 Blended Learning Programs
8.1.7 Executive Bootcamps
8.1.8 Corporate Custom Programs

8.2 By End-User

8.2.1 Corporates
8.2.2 Government Agencies
8.2.3 Non-Profit Organizations
8.2.4 Educational Institutions
8.2.5 Tech Startups

8.3 By Delivery Mode

8.3.1 In-Person Training
8.3.2 Online Learning
8.3.3 Hybrid Learning
8.3.4 Immersive/Experiential Learning

8.4 By Subject Area

8.4.1 Artificial Intelligence
8.4.2 Data Science
8.4.3 Cybersecurity
8.4.4 Software Development
8.4.5 Cloud Computing
8.4.6 Digital Transformation & Leadership

8.5 By Duration

8.5.1 Short-Term (Less than 3 months)
8.5.2 Medium-Term (3 to 6 months)
8.5.3 Long-Term (More than 6 months)

8.6 By Certification Type

8.6.1 Accredited Certifications
8.6.2 Non-Accredited Certifications

8.7 By Pricing Tier

8.7.1 Premium
8.7.2 Mid-Range
8.7.3 Budget

9. Poland Executive Education in Tech & AI Market Competitive Analysis

9.1 Market Share of Key Players

9.2 KPIs for Cross Comparison of Key Players

9.2.1 Company Name
9.2.2 Number of Executive Tech/AI Programs Offered
9.2.3 Annual Enrollment in Tech/AI Executive Programs
9.2.4 Revenue from Executive Tech/AI Education (PLN)
9.2.5 Corporate Client Portfolio Size
9.2.6 Course Completion Rate
9.2.7 Customer Retention Rate
9.2.8 Market Penetration Rate (Share of Target Market)
9.2.9 Pricing Strategy (Average Program Fee)
9.2.10 Customer Satisfaction Score (NPS or Equivalent)
9.2.11 Digital Engagement Metrics (Website Visits, Social Media Followers)
9.2.12 Brand Recognition Index (Survey-Based)
9.2.13 Faculty Credentials (Number of PhDs/Industry Experts)

9.3 SWOT Analysis of Top Players

9.4 Pricing Analysis

9.5 Detailed Profile of Major Companies

9.5.1 Kozminski University
9.5.2 Warsaw University of Technology
9.5.3 University of Economics in Katowice
9.5.4 WSB University
9.5.5 Executive Education at the University of Gdansk
9.5.6 University of Wroclaw
9.5.7 Poznan University of Economics and Business
9.5.8 Cracow University of Economics
9.5.9 University of Lodz
9.5.10 SWPS University
9.5.11 Vistula University
9.5.12 Kozminski Business School
9.5.13 Gdansk University of Technology
9.5.14 University of Silesia
9.5.15 University of Zielona Góra
9.5.16 SGH Warsaw School of Economics
9.5.17 Akademia Leona Ko?mi?skiego
9.5.18 Data Science Academy Poland
9.5.19 Future Collars
9.5.20 Coders Lab
9.5.21 Sages
9.5.22 Infoshare Academy
9.5.23 AI Business School Poland
9.5.24 Polish-Japanese Academy of Information Technology

10. Poland Executive Education in Tech & AI Market End-User Analysis

10.1 Procurement Behavior of Key Ministries

10.1.1 Ministry of Education
10.1.2 Ministry of Digital Affairs
10.1.3 Ministry of Economic Development

10.2 Corporate Spend on Infrastructure & Energy

10.2.1 Corporate Training Budgets
10.2.2 Investment in Technology Upgrades

10.3 Pain Point Analysis by End-User Category

10.3.1 Skill Gaps in Workforce
10.3.2 High Costs of Training Programs

10.4 User Readiness for Adoption

10.4.1 Awareness of AI Technologies
10.4.2 Willingness to Invest in Education

10.5 Post-Deployment ROI and Use Case Expansion

10.5.1 Measurement of Training Effectiveness
10.5.2 Opportunities for Upskilling

11. Poland Executive Education in Tech & AI Market Future Size, 2025-2030

11.1 By Value

11.2 By Volume

11.3 By Average Selling Price


Go-To-Market Strategy Phase

1. Whitespace Analysis + Business Model Canvas

1.1 Market Gaps Identification

1.2 Value Proposition Development

1.3 Revenue Streams Analysis

1.4 Key Partnerships Exploration

1.5 Customer Segmentation

1.6 Cost Structure Assessment

1.7 Competitive Advantage Analysis


2. Marketing and Positioning Recommendations

2.1 Branding Strategies

2.2 Product USPs


3. Distribution Plan

3.1 Urban Retail Strategies

3.2 Rural NGO Tie-Ups


4. Channel & Pricing Gaps

4.1 Underserved Routes

4.2 Pricing Bands


5. Unmet Demand & Latent Needs

5.1 Category Gaps

5.2 Consumer Segments


6. Customer Relationship

6.1 Loyalty Programs

6.2 After-Sales Service


7. Value Proposition

7.1 Sustainability

7.2 Integrated Supply Chains


8. Key Activities

8.1 Regulatory Compliance

8.2 Branding

8.3 Distribution Setup


9. Entry Strategy Evaluation

9.1 Domestic Market Entry Strategy

9.1.1 Product Mix
9.1.2 Pricing Band
9.1.3 Packaging

9.2 Export Entry Strategy

9.2.1 Target Countries
9.2.2 Compliance Roadmap

10. Entry Mode Assessment

10.1 Joint Ventures

10.2 Greenfield Investments

10.3 Mergers & Acquisitions

10.4 Distributor Model


11. Capital and Timeline Estimation

11.1 Capital Requirements

11.2 Timelines


12. Control vs Risk Trade-Off

12.1 Ownership vs Partnerships


13. Profitability Outlook

13.1 Breakeven Analysis

13.2 Long-Term Sustainability


14. Potential Partner List

14.1 Distributors

14.2 Joint Ventures

14.3 Acquisition Targets


15. Execution Roadmap

15.1 Phased Plan for Market Entry

15.1.1 Market Setup
15.1.2 Market Entry
15.1.3 Growth Acceleration
15.1.4 Scale & Stabilize

15.2 Key Activities and Milestones

15.2.1 Activity Planning
15.2.2 Milestone Tracking

Research Methodology

ApproachModellingSample

Phase 1: Approach1

Desk Research

  • Analysis of government reports on the state of technology and AI education in Poland
  • Review of academic publications and white papers on trends in executive education
  • Examination of industry reports from educational institutions and training providers

Primary Research

  • Interviews with program directors of leading executive education institutions in Poland
  • Surveys targeting corporate HR managers regarding their training needs in tech and AI
  • Focus groups with alumni of executive education programs to gather insights on effectiveness

Validation & Triangulation

  • Cross-validation of findings through multiple data sources, including academic and industry reports
  • Triangulation of qualitative insights from interviews with quantitative data from surveys
  • Sanity checks through expert panel reviews consisting of industry leaders and educators

Phase 2: Market Size Estimation1

Top-down Assessment

  • Estimation of the total addressable market based on national education spending trends
  • Segmentation of the market by industry verticals and program types (e.g., short courses, certifications)
  • Incorporation of government initiatives promoting tech and AI education in the workforce

Bottom-up Modeling

  • Collection of enrollment data from major executive education providers in Poland
  • Analysis of pricing structures for various tech and AI programs
  • Calculation of revenue potential based on average course fees and participant numbers

Forecasting & Scenario Analysis

  • Multi-factor regression analysis incorporating economic indicators and technology adoption rates
  • Scenario modeling based on potential changes in government policy and corporate training budgets
  • Development of baseline, optimistic, and pessimistic forecasts through 2030

Phase 3: CATI Sample Composition1

Scope Item/SegmentSample SizeTarget Respondent Profiles
Corporate Training Needs Assessment100HR Managers, Learning & Development Specialists
Executive Education Program Feedback80Program Alumni, Current Participants
Market Demand for AI Skills60Industry Experts, Technology Executives
Trends in Online Learning Platforms50EdTech Entrepreneurs, Course Developers
Government Policy Impact on Education40Policy Makers, Educational Administrators

Frequently Asked Questions

What is the current value of the Poland Executive Education in Tech & AI Market?

The Poland Executive Education in Tech & AI Market is valued at approximately USD 1.1 billion, reflecting significant growth driven by the increasing demand for skilled professionals in technology and artificial intelligence across various sectors.

Which cities in Poland are key players in the Executive Education in Tech & AI Market?

What government initiatives support AI education in Poland?

What types of educational offerings are available in Poland's Executive Education in Tech & AI Market?

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