Cyprus’ New-Build Home Sales Reach €1.15 Billion In First Half

Cyprus’ new-build residential market recorded 3,594 apartment and house sales worth €1.149 billion in the first half of 2026, according to Landbank Analytics. Limassol generated the highest transaction value, Nicosia recorded the largest number of sales, while Paphos remained the leading district for high-value houses. Together, the figures highlight distinct trends across Cyprus rather than a uniform national market.

Mid-Market Homes Continue To Dominate

Between January 1 and June 30, new-build apartment and house sales recorded an average transaction value of €319,618, while the median price stood at €232,500. Apartments accounted for 2,977 transactions, or 82.8% of total sales, generating €810.6 million in value. Their average selling price reached €272,274, while the median stood at €215,000.

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House sales totalled 617 transactions worth €338.1 million. Although they represented just 17.2% of overall sales, houses generated 29.4% of the market’s total value, reflecting their higher price point. Average and median prices reached €548,049 and €365,000, respectively.

Most Homes Sold Below €400,000

Pricing data showed that 54.3% of all new-build homes sold for less than €250,000 during the first six months of the year. Including properties priced between €250,000 and €400,000, the share rose to 83% of total transactions. At the upper end of the market, only 103 homes, or 2.9% of all sales, changed hands for more than €1 million.

Nicosia Records Highest Sales Volume

Nicosia led Cyprus in transaction volume with 1,063 new-build residential sales worth €232.9 million. Average transaction value reached €219,108, while the median price stood at €185,000. Apartments accounted for 894 sales, compared with 169 houses.

Lakatamia recorded the highest level of activity with 200 transactions, followed by Strovolos (183), Latsia (132), Engomi (100) and Aglantzia (95). Activity in the capital remained concentrated in apartment developments targeting domestic buyers.

Limassol Leads In Market Value

Limassol generated €435 million from 1,050 new-build transactions, accounting for 37.9% of the market’s total value despite representing 29.2% of overall sales. Average transaction value reached €414,307, while the median price stood at €302,910. Apartment sales totalled 895, compared with 155 houses.

Within the district, Limassol municipality led with 384 transactions worth €136.1 million. Agios Athanasios followed with 148 sales, while Germasogeia recorded 132. Median transaction value in Germasogeia reached €472,500, placing it among Cyprus’ most expensive residential markets.

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Retail’s AI Push Faces A Cybersecurity And Regulatory Reality Check

by THEFUTURE.TEAM

October 19, 2026

Artificial intelligence is becoming a strategic priority for retailers, with 80% of retail leaders planning to increase investment in the technology, according to EY’s latest CEO Outlook Survey. However, growing concerns over cybersecurity, customer privacy and regulation could complicate adoption across an industry already facing inflation, geopolitical uncertainty and changing consumer expectations.

Confidence In AI Comes With Risks

The survey found that 80% of retail leaders are confident in their ability to expand the responsible use of AI and customer data. Retailers are increasingly applying the technology to demand forecasting, inventory management, customer service and personalised marketing, seeking to improve efficiency and respond more quickly to market changes.

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Yet adoption brings new vulnerabilities. EY found that 24% of retail leaders identified cybersecurity and data privacy as a leading business risk for the year ahead. Retailers manage sensitive customer information, payment systems and complex supply chains, making effective security and governance essential as AI becomes more deeply embedded in their operations.

The World Economic Forum’s Global Cybersecurity Outlook 2026 highlights the wider challenge: 87% of organisations reported rising cyber risks linked to AI vulnerabilities, while 94% expected malicious AI to have a significant impact on cybersecurity in 2026.

Regulation Will Shape AI Adoption

Regulatory frameworks are also influencing how quickly retailers can expand their use of AI. The European Union’s AI Act, China’s state-led governance model and measures introduced by individual US states are shaping the rules around the technology.

For retailers, compliance is becoming a strategic consideration, particularly for customer-facing applications that use personal data to personalise offers, automate interactions or analyse consumer behaviour. Regulatory missteps could carry significant costs in a sector where customer trust is critical.

EY Outlines Four Possible Futures

EY recommends that retailers plan for multiple outcomes rather than assume the current investment boom will continue uninterrupted. Its analysis draws on a four-scenario framework developed by Jim Dator of the University of Hawaii.

One scenario envisages constrained AI adoption as economic pressures, regulation, cyberattacks, legacy systems and poor data quality limit progress. Retailers in this environment may prioritise lower-risk back-office applications, such as finance, procurement, inventory and logistics, while customer-facing tools face resistance.

A second scenario anticipates continued growth, with sustained investment and widespread adoption. A third envisages deeper economic and social transformation as technology reshapes business operations. The fourth considers systemic breakdown, in which a small number of technology platforms control access to AI models and charge premium prices, potentially making advanced capabilities less accessible even to large retailers.

Governance Will Determine Competitive Advantage

EY’s findings suggest that investment alone will not determine which retailers benefit most from AI. Companies will also need robust cybersecurity, effective governance and strategies that can adapt to different economic, technological and regulatory conditions.

For a sector operating on tight margins, the challenge is to turn AI investment into lasting business value while managing the risks that come with greater dependence on the technology.

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