S&P Global has launched a no‑code integration that lets users pull its iLEVEL portfolio‑monitoring data directly into Snowflake with a single click, eliminating the technical hurdles that previously required custom coding and data‑engineering resources.
The move is a key element of the company’s broader push into private‑markets intelligence. By making iLEVEL data instantly available in Snowflake, S&P Global positions itself to capture a larger share of a market projected to grow from roughly $15 trillion in 2025 to more than $20 trillion by 2030, while also supporting the planned $1.8 billion acquisition of With Intelligence and recent collaborations with Cambridge Associates and Mercer.
iLEVEL, which aggregates raw private‑market data, performance analytics, and reporting tools, now integrates seamlessly with Snowflake’s secure data‑sharing framework and the Snowflake Marketplace. Clients can combine iLEVEL data with other S&P Global datasets—such as company financials, credit ratings, and sustainability metrics—without writing code, thereby reducing the time‑to‑insights from weeks to days.
Darren Thomas, Head of Enterprise Solutions at S&P Global Market Intelligence, said the launch “represents a significant enhancement to iLEVEL’s connectivity offering and builds on our competitive position in the private markets space. By combining iLEVEL’s comprehensive private‑markets data with Snowflake’s powerful analytics platform, we’re enabling our clients to unlock deeper insights and make more informed investment decisions faster than ever before.”
The integration taps into a private‑markets data market that is expanding at a compound annual growth rate of roughly 10 % and is expected to exceed $18 trillion by 2027. By removing technical barriers, S&P Global strengthens its competitive advantage in a sector where speed and integration are critical client differentiators.
For clients, the no‑code solution means they can focus on analysis rather than data‑engineering, while S&P Global gains a stronger foothold in a high‑growth segment and a clearer path to monetizing its expanded data ecosystem.
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