Breaking news

Cyprus Residential Market Surpasses €2.5 Billion In 2025 With Apartments Leading the Way

by THEFUTURE.TEAM

February 16, 2026

Market Overview

In 2025, Cyprus’ newly built residential property market achieved a remarkable milestone, exceeding €2.5 billion. Data from Landbank Analytics indicates robust activity countrywide, with newly filed contracts reaching 7,819, including off-plan developments. This solid performance underscores the market’s resilience and dynamism across all districts.

Transaction Breakdown

The apartment sector clearly dominated the market, constituting 81.6% of transactions with 6,382 deals valued at €1.77 billion. In contrast, house sales represented a smaller segment, encompassing 1,437 transactions and generating €737.9 million. The record-high transaction was noted in Limassol, where an apartment sold for approximately €15.2 million, while the priciest house fetched roughly €6.2 million.

Follow THE FUTURE on LinkedIn, Facebook, Instagram, X and Telegram

Regional Analysis

Nicosia: The capital recorded steady domestic demand with 2,171 new residential transactions. Apartments accounted for 1,836 deals generating €349.6 million, compared to 335 house transactions worth €105.5 million, anchoring Nicosia as a core market with average values of €190,000 for apartments and €315,000 for houses.

Limassol: As the island’s principal investment center, Limassol led overall activity with 2,207 transactions. Apartments dominated with 1,936 sales generating €824.1 million, while 271 house transactions added €157.9 million. The district enjoyed premium pricing, with apartments averaging over €425,000 and houses around €583,000.

Larnaca: This district maintained robust activity with a total of 2,020 transactions. The apartment segment realized 1,770 transactions worth €353 million, and houses contributed 250 deals valued at €96.3 million. Average prices hovered near €200,000 for apartments and €385,000 for houses, positioning Larnaca within the mid-market bracket.

Paphos: With a more balanced mix, Paphos completed 1,078 transactions. Ranking second in overall value at €503.2 million, the district saw house sales generate €287.8 million and apartments €215.4 million. Consequently, Paphos achieved the highest average house price at approximately €710,000 and an apartment average of €320,000, emphasizing its premium housing profile.

Famagusta: Distinguished by lower transaction volumes, Famagusta was the sole district where house sales outnumbered apartment deals. Out of 343 transactions, 176 involved houses (yielding €90.4 million) and 167 were apartments (at €32.4 million). The segment’s average prices were about €194,000 for apartments and over €513,000 for houses, signaling its focus on holiday residences and coastal developments.

Sector Insights and Forward View

Commenting on the report, Landbank Group CEO Andreas Christophorides remarked that the analysis demonstrates an ecosystem where apartments are the cornerstone of the real estate market. He emphasized, “The apartment sector is not merely a trend; it is the engine powering the country’s real estate market.” Christophorides also highlighted the diverse regional dynamics: Limassol leads in apartment pricing, Paphos commands premium house prices, Nicosia remains pivotal to domestic demand, Larnaca sustains competitive activity, and Famagusta caters to holiday home buyers.

In a market characterized by these varied profiles, informed monitoring of regional and sector-specific dynamics is crucial for investors aiming to make targeted and strategic decisions.

The Future Forbes Realty Global Properties

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Follow THE FUTURE on LinkedIn, Facebook, Instagram, X and Telegram

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.