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AI identifies 21,000 homeowners potentially pressured to sell in England and Wales

Over 21,000 property owners in England and Wales have been identified by an AI platform as potentially facing pressure to sell their homes, with London accounting for the largest share.

  • More than 21,000 property owners in England and Wales are identified as potentially facing pressure to sell.
  • London accounts for 13,105 of these homeowners, representing £7.1 billion in residential stock.
  • The research focused on expiring low-cost mortgages, EPC compliance for landlords, and other financial indicators.

More than 21,000 property owners across England and Wales have been identified as potentially facing pressure to sell their homes, according to research by estate agent network EXP. This analysis, conducted using the property intelligence platform Galim AI, aims to highlight potential off-market property opportunities.

London accounts for the majority of these potential sellers, with 13,105 homeowners representing an estimated £7.1 billion in residential stock. Within London, over 4,100 homeowners have low-cost mortgage deals expiring in 2025, while 1,759 landlords own properties below the required EPC standard for the 2030 deadline. An additional 7,218 homeowners were flagged due to other financial issues.

Manchester ranks second, with 2,188 homeowners identified as being under pressure. Of these, 1,517 are homeowners with fixed-rate mortgage deals ending, and 664 are landlords facing EPC upgrade requirements. The estimated value of these potential off-market opportunities across the 10 cities analysed exceeds £9 billion.

Adam Day, Head of EXP UK and Europe, stated that this technology allows for earlier identification of potential sellers, creating opportunities for agents before properties reach the open market. He acknowledged that not all identified homeowners will decide to sell, but suggested the data indicates where future housing supply may emerge.

Why this matters: The use of AI and data analytics in property transactions reflects broader technological shifts in the sector, as firms seek to identify opportunities ahead of traditional market mechanisms.

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