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The ed-tech industry is experiencing rapid growth, driven by digital transformation and the demand for continuous skill development. Personalized learning, AI integration, and blended models are becoming prominent. Consolidation and niche specialization are also trends. Funding remains strong for innovative platforms focused on outcome-based learning.
Total Assets Under Management (AUM)
Online Education Market Revenue in India
~Approx. $5.7 billion USD (2024)
(19.9% CAGR)
Growth driven by increasing internet penetration.
Rising demand for upskilling and reskilling.
Government initiatives supporting digital education.
30 billion USD
Generative AI can create personalized learning content, automate feedback, and simulate real-world scenarios for coding and data science practice.
Blockchain can secure and verify educational credentials and skill certifications, enhancing trust and portability of professional qualifications.
Virtual and augmented reality can provide highly interactive and experiential learning environments for complex technical concepts and simulations.
The NEP 2020 aims to transform India's education system with a focus on holistic, multidisciplinary education, skill development, and digital learning.
This policy encourages integration of vocational and skill-based education, directly benefiting Scaler by validating its outcome-based upskilling model and potentially opening avenues for formal recognition.
A flagship program of the Government of India to transform India into a digitally empowered society and knowledge economy.
Increased internet penetration and digital literacy driven by this program expand Scaler's potential learner base, especially in tier 2 and 3 cities, and support the shift to online learning platforms.
This bill aims to regulate the processing of personal data by government and private entities, establishing rights of individuals regarding their data.
This proposed policy will require Scaler to implement stricter data privacy and security measures for learner information, impacting data collection, storage, and usage practices.
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