Share of enterprises' turnover on e-commerce (Eurostat) (tin00110)
Share of enterprises' turnover on e-commerce: data for 35 countries and regions, 2014-2025. Source: Eurostat, indicator tin00110. Compare countries, chart the series, or query it free as CSV, JSON, or API at https://autario.com/data/share-of-enterprises-turnover-on-e-commerce-eurostat.
365 rows · 13 columns · Time coverage: 2014 | 2025 · 35 regions/countries · Last data pull: 2026-08-31
This dataset tracks the percentage of total enterprise turnover generated through e-commerce channels across 35 European entities over an 11-year period. It captures the digital transformation of European business, measuring how rapidly companies have shifted revenue streams online and revealing regional disparities in e-commerce adoption and maturity.
The data spans from 2014 to 2025, with the latest figures showing stark contrasts in digital commerce intensity. Ireland tops the rankings at 38.25 percent, followed by Denmark at 33.31 percent and Finland at 30.13 percent. At the lower end, Bulgaria and Greece report 7.63 percent and 9.49 percent respectively, highlighting how unevenly e-commerce penetration remains distributed across the continent. The average across all entities stands at 16.86 percent, indicating that e-commerce still represents a minority of overall enterprise revenue in most markets.
Growth trajectories reveal which markets are accelerating their digital shift. Denmark has expanded its e-commerce turnover share from 17.05 percent in 2014 to 33.31 percent in 2025, a compound annual growth rate of 6.28 percent. Slovakia similarly grew from 15.55 percent to 27.43 percent with a 5.30 percent CAGR, demonstrating that emerging markets are closing the gap with Nordic leaders through sustained digital investment.
Researchers, policymakers, and business strategists use this data to benchmark national competitiveness, forecast supply chain shifts, and identify markets ripe for e-commerce investment. The growing share of online commerce signals structural economic change, influencing infrastructure development, logistics networks, and regulatory frameworks across Europe.
Share of enterprises' turnover on e-commerce (Eurostat) by country, latest reported year
Highest: Ireland at 38.25 Percentage of turnover (2025). Lowest: North Macedonia at 1.55 Percentage of turnover (2015). Ranked across 34 countries with a reported value, each in its own reporting year between 2015 and 2025.
Showing the top 25 of 34 countries with a reported value. Full table as CSV or JSON at https://autario.com/data/share-of-enterprises-turnover-on-e-commerce-eurostat.
Aggregates reported in the same series
Regions and country groups published by Eurostat alongside the countries. They are not part of the country ranking above.
| Aggregate | Value (Percentage of turnover) | Year |
| European Union | 19.49 | 2025 |
Use this data
Take Share of enterprises' turnover on e-commerce (Eurostat) beyond this page: ask an AI assistant about it, chart it in a data app, or set it next to the numbers from your own accounts.
Query via API instead of re-downloading. Live REST API and instant in-browser charts stay source-synced with the primary publisher, no CSV exports to maintain, MCP-ready for Claude, ChatGPT, and Cursor. Use this dataset in Power BI or Excel via the public API, no key required.
Indicator code: tin00110 · direct CSV, JSON, and live API access below.
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/29612ca5-ff29-4f00-b894-3a30bd864c35/data?limit=100"
# Filter and sort on this dataset's own columns (replace the bracketed placeholder with a value)
curl "https://autario.com/api/v1/public/datasets/29612ca5-ff29-4f00-b894-3a30bd864c35/data?filter=geo:eq:<geo>&filter=time:gte:<time>&sort=time:desc"
# CSV export (login required)
curl "https://autario.com/api/v1/public/datasets/29612ca5-ff29-4f00-b894-3a30bd864c35/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/29612ca5-ff29-4f00-b894-3a30bd864c35/data", params={"limit": 100})
data = r.json()["data"]
Full API docs · Agent guide · MCP setup for Claude / ChatGPT / Cursor · No API key required for public data.
For AI agents
Statistics for this dataset are precomputed server-side. One call returns finished, verified numbers with provenance. No row download, no local computation:
# Finished stats, zero rows (n, min, max, avg, first/last)
curl "https://autario.com/api/v1/public/datasets/29612ca5-ff29-4f00-b894-3a30bd864c35/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=eu_share_of_enterprises_turnover_on_e_commerce_eurostat_29612c&entity=European%20Union%20-%2027%20countries%20(from%202020)"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=eu_share_of_enterprises_turnover_on_e_commerce_eurostat_29612c&entity=European%20Union%20-%2027%20countries%20(from%202020)"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=eu_share_of_enterprises_turnover_on_e_commerce_eurostat_29612c&entity=European%20Union%20-%2027%20countries%20(from%202020)&window=5"
# Correlate with any other indicator (ids via /api/v1/public/ontology/indicators)
curl "https://autario.com/api/v1/public/ontology/stats/correlate?entity=European%20Union%20-%2027%20countries%20(from%202020)&a=eu_share_of_enterprises_turnover_on_e_commerce_eurostat_29612c&b=<indicator_id>"
The same operations are MCP tools (describe, pct_change, rolling_stats, correlate) via npx autario-mcp or the remote endpoint https://autario.com/mcp. MCP responses default to TOON format and use about 74% fewer tokens than pretty JSON. Details: agent guide and llms.txt.
Original source: Eurostat (source code: tin00110)
Sample rows
| geo | time | value | indic_is | nace_r2 | size_emp |
| European Union - 27 countries (from 2020) | 2014 | 13.81 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2015 | 16.43 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2016 | 15.75 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2017 | 18.4 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2018 | 17.17 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2019 | 18.06 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2020 | 19.83 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2021 | 19.77 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2022 | 17.62 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
| European Union - 27 countries (from 2020) | 2023 | 18.29 | Enterprises' total turnover from e-commerce sales | All activities (except agriculture, forestry and fishing, and mining and quarryi | 10 persons employed or more |
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Topic hubs: Technology & Digital
Keywords: tin00110, EU, Europe
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