How Russian ERP platforms appear in the algorithmic choice of CIOs in Russia
CIO of an industrial holding · moving to a domestic perimeter
68 out of 100 — this is how much the object influences the choice in this scenario0 — the buyer never sees you, 100 — you are recommended first
2025
Confidence: mediumderived estimate- Basis
- annual corporate spend
The category has no standalone public report: the value is derived from the parent market by segment share, so it is directional rather than exact.
What to change to be chosen
We found three possible directions for growth. We estimated how each of them could affect the buyer's choice and potential revenue.
Together ≈ $0.9 mn a year
1CRussiaH17 moSettle the question of deployment scale.
Shortlist7176AI answers out of 100 that name 1C≈1 every 2 yearsnew ERP implementation contracts≈ +$0.4 mn of revenue a yearScenario estimate- 1CRussiaH27 mo
Hold a place in the enterprise platform category.
Shortlist7175AI answers out of 100 that name 1C≈1 every 3 yearsnew ERP implementation contracts≈ +$0.3 mn of revenue a yearScenario estimate - 1CRussiaH37 mo
Enter the shortlist for large projects.
Shortlist7174AI answers out of 100 that name 1C≈1 every 4 yearsnew ERP implementation contracts≈ +$0.2 mn of revenue a yearScenario estimate - GalaktikaNot assessed
The market is measured, but there is no report or growth hypotheses for Galaktika. We build them to order.
What task is the buyer solving?
Pick a choice scenario — a specific task of the buyer.
See which options AI systems consider, whom they recommend and how the participants' positions change across the stages.
Language shapes the choice
We study the same task in Russian and English to see how language affects AI-system recommendations and companies’ positions.
Why does 1C appear in 92% of answers but get only 59% of recommendations?
We traced how 1C passes the five stages of choice in AI-system answers. See where its position weakens most and how competitors perform.
Measurement conditions: S1 «A holding's move to a domestic ERP» · journey «Problem-first» · Russia · languages RU, EN · AI systems: 7 · Q1 2026
Height of a column is the share of answers where the object passes the stage. The narrowing between columns is the loss.
A stage is analytical markup of a step, not a required order of conversation: a journey may start with a recommendation and come back to comparison.
Key finding
At home 1C is named first and reaches the recommendation: departed vendors are mentioned as unavailable, while the open questions concern the scale of holding-level deployments.
Point of maximum loss
The largest loss occurs between the stages «Shortlist» and «Recommendation»
1C · journey «Problem-first»
Why the position is lost
Choice factors that keep the object out of the final recommendation.
Position depends on the journey and on the scenario
Probability of a final recommendation for 1C for each decision journey, in both scenarios.
The scenarios are different economic tasks. Their levels may be set side by side but not subtracted: the gap between scenarios is not a deficit to be closed.
Who takes the place
Tile area and colour show the win index on this market — shortlist and recommendation. The participation index is in the table view.
What to change to be chosen more often?
Recommended for 1C · RussiaWe identified what keeps the company from winning against competitors and proposed concrete actions to strengthen its position in the market.
Choose the solutions you want to implement. GolOps will help organise the work and check the result.
- 01
Prove your system can handle a large holding's workload
Publish load test results at volumes comparable to a large holding's operations.
Forecast+5pts to the indexPotential effect≈ $5 mn / year - 02
Show buyers your large deployments in detail
Publish case studies of major deployments with architecture details, so buyers see a system built for holdings.
Forecast+4pts to the indexPotential effect≈ $4 mn / year - 03
Name the partners who can deliver large projects
Publish an open list of integrators ready to run large projects, with their track record.
Forecast+3pts to the indexPotential effect≈ $3 mn / year
Every solution you add raises the plan’s potential
How the forecast is calculatedforecast · model
- 01 addresses the loss factor “Questions about performance at holding-scale load” · 52% of answers
- 02 addresses the loss factor “Few public deployments with a disclosed architecture” · 44% of answers
- 03 addresses the loss factor “A limited choice of independent integrators for large projects” · 29% of answers
This is a sample analysis for an object that entered the universe of this measurement. The universe is assembled anew at every scan of the category: its composition and the positions within it may change. Forecast, not a measurement. The upper bound is the loss at the narrowest transition, distributed across the weights of the loss factors; stage-passing points are carried into index points one to one, and the conversion coefficient is not yet established by the methodology. The money figure uses a working calibration: CCI is measured inside the category universe rather than against the whole market, so 25 index points are taken as roughly 2 percentage points of market share. The actual gain is obtained empirically only — by repeating the same benchmark after the intervention.
Check the conclusions against the raw observations
Study the data, reproduce the conclusions or find what we missed.
How the measurement works- 170
- observations
- 7
- AI systems
- 2
- languages · RU, EN
- Q1 2026
- measurement
ERP × Russia
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