Skip to content
CYPRUS AI MONITOR
Cyprus
EN — EnglishΕΛ — Ελληνικά
PILLAR 3 OF 7

Data & connectivity

The share of enterprises with ten or more persons employed that buy cloud computing services. Connectivity and open data are not yet measured.

pillar score
69/100
1 metric · 1 tier A · 0 live
Show the exact score calculation69/100

How this pillar score is derived

Each value is converted to a metric score using its published reference band. The metric scores are then combined according to their relative weights.

Absolute reference bands · version 1.0.0 · in force from 7 Aug 2026

Enterprises buying cloud services

DA-01.0 · Higher is better

68.5/100
Raw value
51.4 %
Reference band
0.0 % → 75.0 %
Relative weight
3.0/3.0
Pillar contribution
68.5 / 100

Worked equation

100 × (51.4 − 0.0) ÷ (75.0 − 0.0) = 68.51

Eurostat · · 31 Dec 2025

Why this reference band?

We borrowed the 75% ceiling from an EU Digital Decade target for 2030: that 75% of EU enterprises take up cloud computing, big data or artificial intelligence. We apply it to cloud use because cloud is the part of that target with the longest measured series, and we do not use it as a ceiling for AI use (AD-01.0).

Final weighted average

round((68.5067 × 3.0) ÷ 3.0) = 69

Exact result 68.51; published score 69/100. The calculation uses unrounded metric scores. The final weighted average is rounded to the nearest whole number.

Read the full methodology

Metrics in this pillar

value first, then score
Sources: EurostatDownload data
Enterprises buying cloud services over timeDA-01.0
percent, annual. The vertical axis does not start at zero.
Enterprises buying cloud services from 2017 to 202520172025CyprusThe vertical axis does not start at zero.
Source: Eurostat isoc_cicce_useUpdated

GAP TO PEER MEDIAN

  • Enterprises buying cloud services+0.0 ppEnterprises buying cloud services: +0.0 pp compared with the peer median
belowpeer median = 0above

Each bar shows the difference as a share of the metric’s reference band, so metrics in different units can be compared. The labels give the difference in each metric’s own unit.