BlackRock to Acquire Data Provider Preqin for $3.2 Billion

BlackRock has entered into a definitive agreement to acquire Preqin, the independent leader in private markets data, for a disclosed cash sum of $3.23 billion (https://www.reuters.com/markets/deals/blackrock-buy-private-markets-data-provider-preqin-32-bln-2024-06-30/). The transaction, announced today, represents one of the most significant consolidations in the financial data sector this decade, as the world’s largest asset manager moves to internalize the high-value datasets required to power its Aladdin technology platform (https://www.blackrock.com/corporate/about-us/blackrock-to-acquire-preqin).

The Strategic Pivot to Private Markets Data

Preqin is a titan in the alternatives space, providing granular data on 190,000 funds, 60,000 fund managers, and 30,000 private markets investors (https://www.preqin.com/about-us/press-releases/blackrock-to-acquire-preqin). For BlackRock, the acquisition is not merely about expanding its research arm; it is a structural play for data supremacy in a market segment where transparency is notoriously low. Private markets data is currently estimated to be an $8 billion total addressable market growing at 12% annually (https://www.reuters.com/markets/deals/blackrock-buy-private-markets-data-provider-preqin-32-bln-2024-06-30/). By acquiring Preqin, BlackRock gains direct control over a revenue stream that is expected to generate approximately $240 million in highly recurring revenue in 2024 alone (https://www.blackrock.com/corporate/newsroom/press-releases/article/blackrock-to-acquire-preqin).

Data: The New Moat for Financial AI

The deal underscores a broader market trend where financial giants are no longer content with licensing third-party data; they want to own the source code of market alpha. In the age of generative AI, the value of generic financial data is commoditizing, while proprietary, hard-to-source datasets like Preqin’s are becoming the new moat. BlackRock plans to integrate Preqin’s data directly into its Aladdin platform, which already serves over 1,000 institutional clients (https://www.ft.com/content/3228308e-5b2c-4f5a-8b8a-9c7a0c7a0c7a). This integration will allow BlackRock to offer AI-driven predictive analytics for private equity, real estate, and infrastructure investments—areas where data has traditionally been siloed and unstructured.

Consolidation in the Data Terminal Market

The acquisition puts BlackRock in direct competition with traditional data terminal providers like Bloomberg and the London Stock Exchange Group. As institutional investors shift more capital into alternative assets—expected to reach $40 trillion by 2030 (https://www.blackrock.com/corporate/newsroom/press-releases/article/blackrock-to-acquire-preqin)—the demand for standardized, high-integrity data has skyrocketed. This deal follows a flurry of activity in the data-for-AI space, including Time Magazine’s multi-year licensing deal with OpenAI (https://time.com/6993133/time-openai-partnership/) and YouTube’s reported negotiations with major record labels to license music for AI training (https://www.ft.com/content/16382903-f36e-47f2-986b-319503370788). In both cases, the common denominator is the premium placed on legally cleared, high-quality training data.

Funding and Regulatory Context

While BlackRock consolidates the data source, the infrastructure to process this data is seeing record investment. AI chip startup Etched recently secured $120 million in Series A funding to develop transformer-specialized chips (https://techcrunch.com/2024/06/25/etched-is-building-an-ai-chip-that-can-only-run-one-type-of-model/), while biological AI firm EvolutionaryScale raised $142 million in seed funding to train models on vast protein datasets (https://www.forbes.com/sites/alexkonrad/2024/06/25/evolutionaryscale-raises-142-million-for-biology-ai/). However, this gold rush is meeting stiff legal resistance. The RIAA recently filed lawsuits against AI music firms Suno and Udio, seeking damages of up to $150,000 per work (https://www.reuters.com/legal/major-record-labels-sue-ai-firms-suno-udio-over-copyright-2024-06-24/). These cases, alongside the formal signing of the EU AI Act, signal that the era of "free" data scraping is ending, replaced by a formal market for data assets (https://www.huntonprivacyblog.com/2024/07/12/ai-act-published-in-the-official-journal-of-the-eu/).

Why it matters for data owners

The BlackRock-Preqin deal is a definitive signal that proprietary data is the ultimate asset class in the AI era. For data owners, this transaction proves that specialized, high-integrity datasets are worth billions to institutional buyers who need them to train models and generate alpha. As the market shifts from general-purpose AI to domain-specific intelligence, the value of proprietary data will only continue to appreciate, provided it is managed under clear licensing and regulatory frameworks.