IBM Maximo
NewIntelligent scheduling, dispatch and mobile asset data for field service teams
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- IBM Maximo ranks #36 of 39 in Field Service Management with an AI visibility score of 0.3 (SlateIndex, Nov 3, 2026).
- IBM Maximo is most visible on ChatGPT (0.9) and least on Perplexity (0).
- AI engines name IBM Maximo in 1 of the 30 Field Service Management buyer prompts SlateIndex tracks.
- isg-one.com is the source AI engines cite most in answers about IBM Maximo, with 2 citations.
About
Company details for IBM Maximo
IBM Maximo Field Service Management provides intelligent scheduling, smart dispatching and mobile access to asset data, integrated with back-office systems. Maximo Optimizer applies AI and machine learning to scheduling and dispatch, with geospatial route optimization and mobile inventory visibility. It is offered as part of the Maximo Application Suite. It ranks #36 of 39 in Field Service Management on SlateIndex and has a visibility score of 0.3 in the latest weekly run.
- Website
- ibm.com
- Categories
- Field Service Management
- Company size
- 5,000+ employees
- Headquarters
- Armonk, NY
- Company type
- Division of IBM
- Deployment
- SaaS on IBM Cloud; MAS 9.x also runs on Red Hat OpenShift
- Platforms
- Red Hat OpenShift
- Compliance
- ISO 27001
Read from atlas.verdantix.com, g2.com, ibm.com, naviam.io, newsroom.ibm.com · refreshed Nov 3, 2026.
AI visibility
Latest weekly run · Nov 3 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in Field Service Management. Salesforce leads the category at 46.2%.
AI mentions & citations
Recent answers that name IBM Maximo
Products & features
What IBM Maximo sells
Maximo Field Service Management
Intelligent scheduling, smart dispatching and mobile access to asset data.
Maximo Optimizer
AI and machine learning for scheduling and dispatch, with geospatial route optimization.
Maximo Mobile
Offline-capable mobile app for field technicians.
Maximo Scheduler
Scheduling module in the MAS field service set.
Maximo Spatial
Geospatial module in the MAS field service set.
Maximo Collaborate
Collaboration module in the MAS field service set.
Maximo Assistant
Generative AI assistant added in MAS 9.1.
Maximo Application Suite
Unified asset and facilities platform that includes field service management.
Target market & buyers
Notable customers include Spendrups, VPI, Downer, Sund & Bælt, Transport for London, The Royal Melbourne Hospital, New York Power Authority, Riyadh Airports.
| Industry | Primary use case |
|---|---|
| Public transport | Maintenance and field service; Transport for London cites 10,000 field technicians supported by Maximo |
Funding & recent developments
Funding
| Latest known round | Total raised |
|---|---|
| — | — |
Recent developments
- Dec 2025ProductMaximo Condition Insight published
IBM published Maximo Condition Insight, an agentic AI asset performance capability.
- Sep 2025ProductBase support ends for Maximo 7.6.1
IBM stopped base support for Maximo 7.6.1 and points customers to MAS.
- Jun 2025ProductMAS 9.1 becomes generally available
MAS 9.1 became generally available, adding Maximo Assistant, a generative AI assistant, and Asset Investment Planning.
Competitive landscape
How IBM Maximo compares with its top three alternatives
IBM Maximo most often appears alongside Salesforce, Microsoft Dynamics 365 Field Service, IFS in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| IBM Maximo | 0.3% | 0.2% | New | Pricing not available |
| Salesforce | 46.2% | 9.6% | New | Pricing not available |
| Microsoft Dynamics 365 Field Service | 30.5% | 7.7% | New | Pricing not available |
| IFS | 18.7% | 4.9% | New | Pricing not available |
| ServiceNow | 15.8% | 3.9% | New | Pricing not available |
Cite as: SlateIndex, “IBM Maximo AI visibility profile”, https://slateindex.ai/brand/ibm-maximo, data of Nov 3, 2026. Licence: CC BY 4.0.