State of Play of EdTech & the EdTech Ecosystem in Europe, 2024
Read on for a comprehensive analysis of the European EdTech ecosystem, to help policymakers, EdTech organisations, and support entities, such as investors and EdTech associations, grow their understanding of the landscape, at this moment in time.

How to read this report
Building on insights from the previous report, this edition explores the sector’s evolving needs and opportunities, highlighting the interconnected challenges and drivers shaping the EdTech ecosystem in Europe.
Each chapter is intended to be read as a stand-alone report, beginning with a summary of the issue, key findings, and methodology used, making the report accessible for readers seeking insights on specific topics. Click on the sections below to have an overview of key questions tackled in each chapter and a link to the corresponding chapter in the full report.
PART I - Key players and structural issues affecting the growth of the European EdTech ecosystem
Part I of this report lays the groundwork for examining Europe’s EdTech landscape by exploring foundational aspects that define the ecosystem. This section describes who the key stakeholders are, their roles within the ecosystem, and three main structural challenges that shape their efforts and influence our collective understanding of what “EdTech” truly encompasses in Europe.
Definitions and terminology: One of the foundational issues across Europe’s EdTech sector is the absence of a unified definition of “EdTech”. To avoid confusion and wrong deductions, clearer definitions are needed.
Market fragmentation: Beyond terminology, Europe’s EdTech market is deeply fragmented, with national and regional differences in procurement practices, funding structures, and educational priorities. This fragmentation hampers cross-border collaboration, hinders the scalability of solutions, and creates barriers to consistent access to EdTech innovations.
Data limitations and needs: Key players, from EdTech developers to educators and policymakers, rely on data to make informed decisions about educational technology adoption, impact, and investment. However, data availability is restricted by the same terminological inconsistencies outlined above, as well as by issues of data protection and interoperability. Current gaps in data limit our ability to grasp the sector’s full potential. Addressing these data limitations will empower stakeholders to tap into EdTech’s benefits more effectively.
Key players, definitions and challenges with terminology
- Why is ‘EdTech’ hard to define and what influences the definitions?
- How do inconsistent definitions affect data availability for understanding key characteristics of the EdTech sector, such as its size, geographical distribution, market segments, and criteria for success?
- What initiatives are currently in place to address the lack of common definitions for EdTech and related terms?
Ecosystem support organisations:
- What are the existing types of EdTech support organisations and how do they differ?
- Why are support organisations - EdTech associations, accelerators, incubators, fellowships, testbeds- critical for EdTech developers?
- What tools exist to map existing organisations and help them connect with the right stakeholders?
Needs and Opportunities related to Data in and on EdTech
- How can sensitive learner data captured by EdTech solutions be used in a safe way, to lead to evidence-based decision making?
- What data can be collected to describe the EdTech ecosystem, including market structure, funding, and school spending and what data points are currently missing?
- What are some data sources relevant to EdTech and the EdTech ecosystem in Europe?
Navigating Europe's fragmented education markets and procurement procedures
- How do decision-making processes for EdTech implementation vary across European countries?
- In what ways may this European tapestry of practices hinder effective EdTech implementation?
- What factors drive successful expansion into new markets, and what targeted initiatives exist across Europe to help overcome challenges caused by the fragmented nature of the continent’s education systems?
PART II - Core drivers supporting the stakeholders of the European EdTech ecosystem
Part II focuses on the core drivers that influence the development, adoption, and impact of EdTech across Europe, spotlighting trust, funding, and innovation-ready environments as essential pillars supporting the ecosystem’s growth. These drivers are deeply affected by the structural challenges outlined in Part I.
Trust through partnerships and evidence: Trust among EdTech stakeholders is fundamental but complex. Inconsistent definitions and fragmented practices complicate mutual understanding, and this ambiguity can erode trust, as stakeholders often rely on different benchmarks and assumptions when evaluating EdTech tools. Partnerships are crucial to build this trust among stakeholders. Additionally, the trust decision-makers put into certain EdTech solutions also depends on the evidence (and data) available, which is often tailored to specific markets with distinct evaluation frameworks.
Funding challenges: Both public and private funding to develop or adopt EdTech solutions, are deeply affected by the fragmented landscape of the European education market. A significant data gap around spending patterns on EdTech, hampers investment, as stakeholders find it challenging to assess the sector’s overall market potential. Moreover, a disconnect between those who procure EdTech and those who use it often undermines the alignment of tools with classroom realities affecting trust in the tools and products. This combination of low trust, lacking data, and isolated funding decisions hampers investment in the sector, impeding its full potential to transform education. On the supply side, different types of investors are operating within the EdTech ecosystem, who must navigate the fragmented nature of the European education sectors. Intermediary organisations like economic chambers and I&As play a crucial role in connecting EdTech organisations with investors.
Innovation-Ready Environments: Creating digitally competent environments requires an infrastructure that supports digital equity, fosters digital skills, and promotes access to essential resources. However, policymakers face challenges due to limited data on the connectivity, resources, and skill levels within educational institutions, impeding efforts to support equitable digital progress across Europe. Moreover, the growing importance of digital content, including generative AI and user-generated content (UGC), requires attention and input from educators to ensure that global digital resources will be thoughtfully adapted to fit the cultural and pedagogical needs of diverse local contexts.
Funding Issues
- What funding sources exist for EdTech solution providers and how do investor priorities differ?
- What are the latest trends in venture capital investments for EdTech, per country and sector?
- What support mechanisms related to funding and financing EdTech exist in Europe?
Trust as the glue of the EdTech ecosystem
- What factors contribute to building trust between EdTech stakeholders, especially developers and procurement decision-makers?
- How do partnerships and evidence help with generating trust?
- What are some existing initiatives that promote partnerships and collaboration in the European ecosystem and how can we learn from them?
Innovation-Ready Education Environments
- What are essential components for creating innovation-ready educational environments?
- How do competence frameworks, such as such as the Digital Competence Framework for Citizens (DigComp) and the Framework for the Digital Competence of Educators (DigCompEdu) help teachers and students acquire crucial skills?
- What is the latest data on ICT infrastructure in European Schools, according to the ICILS 2023 International Report?
PART III - Trends within the European EdTech Ecosystem
Part III examines the key trends influencing stakeholders across the ecosystem. Structural issues such as inconsistent definitions, fragmented education systems, and the data issues mentioned in Part I not only underpin the current state of EdTech but also shape these emerging trends. These trends also impact funding, highlight the urgent need to build trust among stakeholders, and underscore the importance of developing innovation-ready environments.
Artificial Intelligence (AI): AI is undoubtedly reshaping education, but its effective and equal implementation depends on adequate infrastructure, as well as the development of skills and competencies. Discussions around AI increasingly focus on critical issues such as responsibility, transparency, trustworthiness, and its actual impact on pedagogy and educational outcomes. Despite its potential, the adoption of generative AI tools faces significant barriers. These include concerns over data protection, diverse user needs and contexts, limited confidence in using AI, budget constraints, the adaptation of school policies and cultures, technical challenges like system integration, issues of access and accessibility, and overall trust in AI systems.
Digital Well-Being: Digital well-being has become a prominent topic at both the EU and national levels in Europe. Several of the topics associated to digital well-being are closely tied to improving digital infrastructure and skills, including addressing the digital divide, fostering digital citizenship, and tackling mis- and disinformation - an issue that deeply affects trust. Additionally, a lack of evidence on the impact of digital education has contributed to the trend of implementing smartphone bans across Europe.
Teacher shortages: The issue of teacher shortages in many countries across Europe is analysed through the lens of quality of life of teachers. For EdTech solutions to effectively support teacher well-being, several prerequisites must be met, including offering an innovation-ready environment, in which schools and educational institutions provide access to training and skills development, and have robust digital infrastructure. Additionally, EdTech solutions must be trusted by teachers and tailored to their specific needs.
AI in Education
- What are key topics related to AI in education and how can AI literacy among all stakeholders be enhanced to limit the barriers of AI implementation and the associated risks of misuse?
- What are the environmental implications of AI in education?
- What regulatory frameworks, policies and support structures regarding AI implementation exist and how do they tackle issues of transparency, accountability and risk mitigation?
Digital Well-being
- What is Digital Well-Being?
- How does integrating digital technologies into education impact student well-being?
Spotlight on educators: How does EdTech affect teacher quality of life?
- What are some key challenges that reduce teacher quality of life, and how does EdTech relate to them?
- What are five key considerations that should be taken into account when selecting EdTech solutions, to ensure that they serve to improve the experience of teachers?
- What are five approaches that will help EdTech developers design solutions that will have a positive impact on teachers?