👶 Kidzee Leads India’s Pre-Primary Market. Climate Spending Favours Agriculture. Security in AI Infrastructure.
Chart of the Day #488 Looks at India’s Pre Primary Market Share, Global Climate Project Expenditure by Programmatic Solutions, and Global AI Infrastructure.
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Today's Topics
👶 Preschool. Kidzee made up one third of India's pre-primary market share
🍃 Green Skills. Climate resilient agriculture outspent coastal resilience by nearly $10M
🤖 Artificial Intelligence. Security tops factors influencing AI infrastructure design
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👶 Kidzee Made Up One Third of India's Pre-Primary Market Share

Indian pre-primary education remains highly concentrated, with Kidzee leading the market share. The narrow gap shows how brand-driven early learning markets continue to consolidate. This trend mirrors rising parental demand for structured programmes and the sector’s expansion into Tier 2 and Tier 3 cities. Similar consolidation is emerging across K12 and tutoring segments as families prioritise early skills. India’s National Education Policy reforms are expected to develop future growth.
🍃 Climate Resilient Agriculture Outspent Coastal Resilience by Nearly $10M

Climate resilient agriculture recorded the highest global project spend, followed by waste management and carbon pricing. The distribution highlights a shift toward adaptation and circular economy priorities. Rising investment in sustainable forests and solar PV reflects the importance of nature-based and low carbon systems. These allocations also align with expanding green industry roadmaps across emerging markets.
🤖 Security Tops Factors Influencing AI Infrastructure Decisions

Security was the top factor shaping global AI infrastructure decisions in 2024, closely followed by access to AI accelerators and system reliability. The clustering of flexibility and data governance shows organisations balancing performance with tighter oversight. Growing attention to sustainability and scalability reflects how rapidly expanding AI is reshaping infrastructure planning across sectors. These priorities mirror broader moves toward efficient model deployment. Future guidance will be influenced by the OECD AI Policy Observatory.
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