- Artificial intelligence industry leader OpenAI, in collaboration with IndiaAI—a mission under the Ministry of Electronics and Information Technology in June officially launched OpenAI Academy India, its first international rollout of an AI education platform. A memorandum of understanding (MoU) has also been signed between OpenAI and IndiaAI, setting the direction for their joint efforts as per various news published recently.
- India’s AI Market to Hit $5.9 Billion by 2025. NASSCOM reported that India’s AI market is projected to reach $5.9 billion by end-2025, growing at a CAGR of 33%, driven by banking and financial services adopting AI in lending and compliance.
- RBI Releases Guidelines for AI-Based Credit Scoring Models earlier this month. The Reserve Bank of India issued new guidelines mandating transparency and bias audits for AI-driven credit scoring models to ensure fairness in retail lending.
- IDC’s Banking Tech Monitor revealed that 72% of banks in APAC, including India, have integrated AI into their risk and compliance functions, up from 58% last year.
- Global Spending on Data Analytics to Cross $350 Billion in 2025. Gartner’s June 2025 report highlighted global spending on data analytics and BI solutions is set to exceed $350 billion this year, with BFSI contributing 28% of this expenditure.
- Tracxn reported Indian Fintech Funding Sees 18% QoQ Increase in Q2 2025. Indian fintech startups saw an 18% quarter-on-quarter funding increase, with AI-led credit and data analytics startups leading the funding surge.
- As per a Forrester report published recently, Banks achieved 40% Reduction in NPA Detection Time with AI. Forrester’s Financial Services AI Adoption Survey found that Indian banks using AI for early NPA detection have reduced detection and reporting time by 40% compared to manual processes.
- 85% of Global Banks Now Use Cloud Data Warehousing. McKinsey’s June 2025 banking technology update states that 85% of global banks have transitioned to cloud-based data warehousing, citing cost savings and agility in building analytical models.
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