Powering the new education economy.
Connecting billions of data points about education startups, technologies, deal flow, schools, universities, jobs, skills, research and patents.
Machine learning analyzes, evaluates and identifies patterns in data about global innovation and growth trends.
To generate insights that help educators, entrepreneurs, enterprises and investors make data-driven strategic decisions
503 education professionals from over 50 countries report lack of innovation, poor economic sustainability, teacher shortages, unequal access and escalating cost as the major risks to global education.
400+ Global EdTech VC Deals in 1H 2019 worth $3.5B accelerating education innovation around the world
The growth of education stocks and why it matters
Of the 5 Scenarios for Education in 2030, Education-as-Usual is least preferred but most likely according to 5000+ educators, entrepreneurs, leaders and investors from 30+ countries who have contributed to the Education in 2030 Project.
20,000+ subscribers get our free newsletter each week to stay a step ahead of global education innovation and technology trends, new models, investment and the future of learning and work.
An open source taxonomy for the future of education. Mapping the learning and talent innovation landscape.
Education in 2030 is a free 60 page report that deep dives through the four drivers of the global expansion in education and identifies 5 Scenarios for the Future of Learning and Talent. Methodology for developing the scenarios is explained and over 100 charts and tables are provided with sources and references for further research.