Cloud & IT Spend by Segment

Cloud & IT Spend by Segment

Segment-level cloud and IT spend — by size, sector, and country.

Segment-level cloud and IT spend — by size, sector, and country.

Growing pile of colored boxes
Growing pile of colored boxes

Why this matters

Why this matters

Most IT and cloud forecasts give you the big picture — but not the one you need. They show national or global totals, with no way to zoom into your market, your vertical, or your target tier.

This segment flips the model: we start from the organisations you care about, broken down by country, sector, and size band, and map how much they spend on IT and cloud infrastructure — today and by 2029.

You can use it to size markets, prioritise go-to-market resources, or calibrate pricing to segment maturity. It’s explainable, customisable, and structured for strategy — not just reporting.

How Starzdata solves this

How Starzdata solves this

  • Start from your segmentation: tier by size, sector, and country

  • Count real organisations in each tier (T1–T6)

  • Estimate average IT and cloud budgets per org (2024)

  • Project 2029 spend using explainable CAGR curves

  • Localise, reuse, or expand as needed — it’s modular

This segment is activated with a blend of trusted sources and your own inputs

AI reasoning

User Input

Web intelligence

What you get:

What you get:

  • Tiered organisation counts by sector and country

  • Average IT and cloud spend per org (2024 baseline)

  • Growth curves by tier projected to 2029

  • Data built on your segmentation — not generic models

  • Fully exportable and ready for reuse

Sample data for this segment

#country(input)segment(input)segment description(input)size band(input)size band description(input)number of organisationsnumber of organisations confidenceiaas paas spend 2024 eur miaas paas spend 2024 eur m confidenceiaas paas cagr 2024 2029 pctiaas paas cagr 2024 2029 pct confidenceit spend 2024 eur mit spend 2024 eur m confidenceit spend cagr 2024 2029 pctit spend cagr 2024 2029 pct confidence
1FranceFinTech (ISV / SaaS / Software Vendor)Software companies developing and delivering digit...T1<10 employees or <€500k ARR.245092%17.890%18.191%38.593%12.992%
2FranceHealthTech (ISV / SaaS / Software Vendor)Software companies developing digital health solut...T210–49 employees or €500k–2M ARR.128090%24.387%19.588%5290%14.389%
3FranceGovTech (ISV / SaaS / Software Vendor)Software companies building digital platforms for ...T350–249 employees or €2–20M ARR.58088%34.989%17.389%78.291%13.490%
4FranceAgritech (ISV / SaaS / Software Vendor)Software companies creating digital platforms for ...T4250–999 employees or €20–100M ARR.29091%42.790%16.290%98.492%11.889%
5FranceRetailTech / MarTech (ISV / SaaS / Software Vendor...Software companies providing digital platforms for...T51000-4999 employees or €100-500M ARR.13593%55.191%15.791%121.793%10.291%
Showing 1 to 5 of 5 entries • Click row for details

Each row represents a national segment defined by country, sector, and size band, based on your taxonomy. Values include forecasted IaaS and PaaS spend in euros for 2024 and 2029, compound annual growth rate (CAGR), and estimated number of organizations. All input columns are customizable; enriched outputs include confidence ratings based on source coverage, data freshness, and inference method.

Disclaimer

Figures are directional and aggregated for strategic use. They are not accounting-grade but are calibrated to support GTM planning, market sizing, and resource allocation. Confidence scores indicate reliability based on current data availability and methodology.

... or explore the segment structure:
... or explore the segment structure:
... or explore the segment structure:
Your questions on this segment, answered

What are the usage conditions?

What are the usage conditions?

Can I customize sectors or size bands?

Can I customize sectors or size bands?

Can I use these numbers in my tools?

Can I use these numbers in my tools?

How reliable are these numbers?

How reliable are these numbers?

What exactly does “organisation” mean in this dataset?

What exactly does “organisation” mean in this dataset?

How is this dataset different from traditional market reports?

How is this dataset different from traditional market reports?

Your questions on this segment, answered

What are the usage conditions?

The data is licensed for internal strategic use only. For public or external usage (reports, slides, publications), please refer to our Pricing section.

Can I customize sectors or size bands?

Yes — that’s the core of our value. You can apply your own segmentation, whether by verticals, size logic (employees, ARR, group structure), or GTM tiers.

Can I use these numbers in my tools?

Yes. The data is built for use in CRM scoring, market sizing, GTM planning, ABM, or territory design. Output formats include CSV, JSON, API.

How reliable are these numbers?

Each forecast is paired with a confidence score based on data freshness, signal density, and model robustness. You get visibility on where the model is strong — and where caution is advised.

What exactly does “organisation” mean in this dataset?

Each row reflects a national segment (country × sector × size band) and includes an estimated number of active organisations — companies or institutions matching your definition of the segment.

How is this dataset different from traditional market reports?

Unlike static reports (IDC, Gartner, Statista…), this data is fully dynamic, combining your own size and sector segmentation with enriched spend estimates by country and year. It’s made for operational use in GTM planning, market sizing, and sales prioritization.

See also:

See also:

{ "_meta": { "dictionaryColumns": ["Variable","Data_Type","Sample_Value","Description"] }, "data": [ { "Variable": "country", "Data_Type": "VARCHAR", "Sample_Value": "France", "Description": "Country where the segment is analyzed" }, { "Variable": "segment", "Data_Type": "VARCHAR", "Sample_Value": "FinTech (ISV / SaaS / Software Vendor)", "Description": "Segment label as per client taxonomy" }, { "Variable": "segment_description", "Data_Type": "TEXT", "Sample_Value": "Software companies developing and delivering digital financial products and services...", "Description": "Client-defined business description for the segment" }, { "Variable": "size_band", "Data_Type": "VARCHAR", "Sample_Value": "T1", "Description": "Standardized size category from T1 (smallest) to T6 (largest)" }, { "Variable": "size_band_description", "Data_Type": "TEXT", "Sample_Value": "<10 employees or <€500k ARR", "Description": "Operational size definition associated with the size_band" }, { "Variable": "nb_organisations_2024", "Data_Type": "INTEGER", "Sample_Value": 285, "Description": "Estimated number of organisations in the segment and size band as of 2024" }, { "Variable": "it_spending_2024_eur_m", "Data_Type": "DECIMAL", "Sample_Value": 52.1, "Description": "Total IT spending for the segment/size band in 2024 (EUR millions)" }, { "Variable": "it_spending_cagr_2024_2029", "Data_Type": "DECIMAL", "Sample_Value": 7.2, "Description": "Compound Annual Growth Rate (CAGR) of IT spending from 2024 to 2029 (in %)" }, { "Variable": "iaas_paas_spending_2024_eur_m", "Data_Type": "DECIMAL", "Sample_Value": 12.4, "Description": "IaaS/PaaS share of IT spending in 2024 (EUR millions)" }, { "Variable": "iaas_paas_spending_cagr_2024_2029", "Data_Type": "DECIMAL", "Sample_Value": 11.0, "Description": "IaaS/PaaS CAGR from 2024 to 2029 (in %)" } ] }