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2025 Sets a Positive Trend for Cyprus Real Estate

The real estate market in Cyprus has surged forward in 2025, marking a significant 15% increase in property sales compared to the previous year. This remarkable growth in the first quarter is highlighted by the 4,137 sale documents filed, as per reports from the Registration Council of Real Estate Agents.

While there was a slight decrease of 2.9% in transaction volume, the sales value saw a robust increase of 15%, surpassing €1.1 billion annually. This promising start to the year reflects sustained demand and better alignment of supply to market needs.

Insights from Regional Markets

Limassol continues to dominate the market, boasting the highest value transfer at €428.7 million and leading in documentation volume with 1,295 sale filings. Additionally, the city recorded 1,203 transaction volumes, underscoring strong investment activities.

In Nicosia, stability reigns with 1,304 transactions valued at €283.5 million. The city attracted 932 new sale documents, reflecting keen interest in fresh developments.

The momentum from previous years carries on in Paphos, with 811 transfers totaling €199 million. This shows lively activity in property purchase, fueled chiefly by international buyers.

Larnaca saw €154 million in transactions from 843 property transfers. The sale documents numbered 910, indicating rising demand bolstered by ongoing investments, as featured in Desalination Breakthrough: Addressing Water Shortages in Cyprus.

Though the Famagusta region ranked lowest with €48 million and 251 transfers, the growth trend persists. The 171 sale documents filed signal an appeal through lower prices and tourism-driven development.

AI Agents Are Poised To Reshape Shopping And Payments By 2030

More than one in 10 consumers could routinely use AI agents to make online purchases on their behalf by 2030, according to a Mastercard report on the future of commerce.

The report, A Short History of the Future of Shopping and Payments, combines Mastercard research with forecasts from four AI and commerce experts.

From Recommendations To Purchases

AI agents could handle routine purchases such as groceries, medicines and subscriptions, including negotiating prices for consumers. Smart devices such as watches and rings could also provide personalized product information before and after purchases.

“By 2030, buying a product and the shopping experience will not necessarily be the same thing,” said Magnus Lindkvist. “AI agents will take care of the most everyday purchases, leaving the shopping experience to be more closely associated with discovery, inspiration and enjoyment.”

Younger Consumers Are Moving First

Mastercard’s survey of 26,000 parents and teenagers aged 13 to 18 across 13 countries found that teenagers already use AI in purchasing decisions at roughly twice the rate of their parents.

Some 62% said AI will significantly change how their generation shops. Meanwhile, 31% would trust an AI product recommendation more than one from a friend, while 23% would trust AI more than their parents.

Retailers Will Need To Adapt

As AI agents make purchasing decisions, retailers will need to serve both consumers and software acting on their behalf. Product information, reviews, certifications, origin and sustainability data will need to be easy for AI systems to identify and verify.

Trust will be critical as agents gain authority to complete transactions. Businesses and financial institutions will need clear rules covering identification, consent, authorization and responsibility, Lau said.

Cyprus Tests Agentic Commerce

Mastercard said agentic commerce is already being tested in Cyprus. Earlier this year, it carried out what it described as the country’s first agentic transactions in a regulated environment with Alpha Bank Cyprus, Eurobank Limited and Bank of Cyprus.

Using Mastercard Agent Pay, AI agents completed purchases with consumers’ explicit consent. The trials were designed to maintain security, transparency and consumer control.

The tests offer an early example of infrastructure that could support a shift from AI recommendations to AI agents making purchases directly. Scaling the model will depend on both technology and clear rules governing how agents can act.

Uol
The Future Forbes Realty Global Properties
eCredo
Aretilaw firm

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