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Perplexity adds live Indian stock market data to AI search
Perplexity has added live data from India’s equity markets to its AI-powered search platform.
Users can now access real-time share prices, market news, and corporate updates from both the Bombay Stock Exchange and the National Stock Exchange through desktop, mobile web, and app interfaces.
The platform allows users to search for information on Indian stocks, cryptocurrencies, upcoming earnings, and sector trends using plain-language queries.
It provides dashboards with price charts, news summaries, and links to company filings and historical data.
Perplexity said features like custom stock screening and price alerts are being developed.
🔗 Source: YourStory
🧠 Food for thought
1️⃣ India’s AI finance adoption creates massive growth opportunity for new platforms
Perplexity’s expansion into India aligns with a broader surge in AI adoption across the country’s financial sector, creating fertile ground for rapid user growth.
The company saw 600% year-over-year growth in downloads during Q2, reaching 2.8 million users, while monthly active users increased by 640% 1. This explosive growth occurs alongside institutional momentum, with over 36% of large financial institutions in India already investing in AI and nearly 70% planning to do so 2.
Major Indian banks like HDFC, ICICI, and SBI have collectively handled millions of customer queries through AI chatbots, with ICICI’s iPal alone answering 6 million queries at 90% accuracy 2. This institutional embrace suggests Indian consumers are increasingly comfortable with AI-powered financial tools.
The combination of consumer readiness and institutional validation creates an environment where new AI finance platforms can achieve rapid scale, as evidenced by Perplexity’s partnership with Bharti Airtel to reach 360 million subscribers 1.
2️⃣ Free financial data access becomes competitive strategy against established players
Perplexity’s decision to offer free real-time Indian market data represents a strategic move to gain market share by democratizing information typically locked behind expensive paywalls.
The company positions this as making “high-quality financial data accessible to both casual observers and experienced investors,” directly challenging traditional financial data providers who charge premium subscriptions 3. This approach mirrors successful technology disruption patterns where new entrants use free or low-cost offerings to capture market share from established incumbents.
By removing cost barriers to financial information, the company can rapidly build user base and engagement before focusing on monetization.
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