Data as of Aug 25, 2026 · Based on 1,834 AI responses · See how Parse measures this
Industrial Asset & MES Software
ParseChatGPT + Google AIParse
https://parse.gl
Measured across ChatGPT & Google AI
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 |  KONEA top recommendation for elevator predictive maintenance, cited for its connected services. | A top recommendation for elevator predictive maintenance, cited for its connected services. | 19% |
| 2 | SAPNow leads the niche, frequently recommended for its native SAP PM integration. | Now leads the niche, frequently recommended for its native SAP PM integration. | 19% |
| 3 |  OtisFrequently cited for elevator diagnostics and its Otis ONE predictive platform. | Frequently cited for elevator diagnostics and its Otis ONE predictive platform. | 18% |
| 4 |  IBM | 17% | |
| 5 |  TractianA major new entrant, praised for its all-in-one AI and sensor solution. | A major new entrant, praised for its all-in-one AI and sensor solution. | 17% |
| 6 |  Amazon | 13% | |
| 7 |  Microsoft | 12% | |
| 8 | 11% | ||
| 9 |  AuguryGaining prominence for AI-powered diagnostics for rotating equipment. | Gaining prominence for AI-powered diagnostics for rotating equipment. | 10% |
| 10 |  Onyx InsightA leading specialist for wind turbine gearbox failure prediction using vibration data. | A leading specialist for wind turbine gearbox failure prediction using vibration data. | 10% |
| 11 |  Ptc | 10% | |
| 12 |  Schindler | 9% | |
| 13 |  Oxmaint | 9% | |
| 14 |  Fluke | 8% | |
| 15 |  XMPro | 7% | |
| 16 |  GE Vernova | 7% | |
| 17 |  TK Elevator | 7% | |
| 18 |  AnodotA frequently cited solution for automated anomaly detection without manual thresholds. | A frequently cited solution for automated anomaly detection without manual thresholds. | 6% |
| 19 |  Datahoist | 6% | |
| 20 |  Fiix | 6% | |
| 21 |  TÜV SÜD | 5% | |
| 22 |  Thyssenkrupp | 5% | |
| 23 |  Uptake | 5% | |
| 24 |  MaintainX | 5% | |
| 25 |  SKF | 4% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
oxmaint.com is the page AI reaches for most here, cited in 30% of analyzed answers.
“A general EAM/ERP system” → “A provider of a dedicated suite of IoT and predictive tools like APM and PAI.”
Emerged from no mentions to the #1 cited brand for anomaly detection by March 2026.
Became the top-cited brand for predicting bearing failures by March 2026.
Dropped in rank from #4 to #6 by March 2026 as more specialized alternatives gained traction.
SAP has risen to become the most frequently recommended vendor for industrial asset and MES software, particularly for enterprises already within its ecosystem. However, the most significant trend is the rapid ascent of specialized AI-driven platforms like Tractian and Augury, which are challenging established leaders across multiple use cases.
Across 1,834 AI responses, KONE is mentioned most, named in 19% of them, followed by SAP (19%) and Otis (18%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,834 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
TractianOnyx InsightXMPro
KK Wind SolutionsAI responses consistently focused on specialized wind turbine monitoring systems. 
AI responses consistently focused on specialized wind turbine monitoring systems.
IBM MaximoMaintainXAugury
Brands mentioned
Onyx InsightXMProKK Wind SolutionsSKFMaintainXBrands mentioned
IBM MaximoMaintainXAuguryWhat’s the best generator of maintenance playbooks from asset health data?
The market map
