UK-listed data and analytics companies are increasingly positioned at the centre of the country’s artificial intelligence investment story.
RELX and the London Stock Exchange Group are among the names drawing the most attention from investors seeking exposure to machine-learning driven growth.
Both companies represent a broader category of information services businesses where AI capabilities are not a future promise but an embedded operational reality.
The argument for analytics groups as AI beneficiaries rests on the nature of their core assets, which are vast, proprietary datasets that machine-learning models require to generate meaningful output.
Unlike pure technology plays, these firms generate recurring revenue from customers who depend on their platforms for compliance, risk management, research, and financial infrastructure.
RELX, listed on the FTSE 100 under the ticker REL, operates across legal, scientific, and risk information markets where AI-enhanced tools are already commanding premium pricing.
The London Stock Exchange Group, trading under the ticker LSEG, has been deepening its data and analytics division following its major acquisition of Refinitiv, giving it one of the most comprehensive financial datasets in the world.
Investors have increasingly come to view these companies not simply as legacy information providers but as infrastructure businesses underpinning how AI systems are trained and deployed in professional settings.
The distinction matters because it shifts the valuation conversation from speculative growth toward durable, compounding earnings power backed by high switching costs and long-term client relationships.
Experian, another FTSE 100 constituent trading under the ticker EXPN, rounds out the group of UK analytics firms seen as well-placed to monetise AI-driven demand for credit data and consumer insights.
The broader domestic AI conversation in the UK has tended to focus on consumer technology and government investment, but the listed analytics sector offers a more immediate and financially tangible route for investors.
Analysts have noted that the depth and exclusivity of proprietary data held by these groups creates a structural advantage that even well-capitalised technology giants would struggle to replicate quickly.
As enterprises accelerate their own AI adoption programmes, demand for clean, structured, and legally compliant data supplied by established providers is expected to grow considerably through the remainder of the decade.
