Bybanen Norway Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Bybanen Norway and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 47 Bybanen Norway employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Bybanen Norway has purchased the following applications: Cemit AI Data Platform for ML and Data Science Platforms in 2023, Microsoft Power BI for Analytics and BI in 2020, Microsoft Power Apps for Apps Development in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Bybanen Norway is running and its propensity to invest more and deepen its relationship with New Normal Group , Microsoft , Hetzner or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Bybanen Norway revenues, which have grown to $33.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Bybanen Norway intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| New Normal Group | Legacy | Cemit AI Data Platform | ML and Data Science Platforms | AI Development | n/a | 2023 | 2023 |
In 2023, Bybanen Norway deployed the Cemit AI Data Platform to support operations and infrastructure monitoring for the Bergen Light Rail network in Norway. The implementation positions the Cemit AI Data Platform within the ML and Data Science Platforms category to ingest operational telemetry and surface analytics for ride comfort and asset condition monitoring.
Configuration centered on two primary capability areas inferred from CEMIT product focus and referenced case mentions, ride-quality monitoring and predictive maintenance. The Cemit AI Data Platform configuration is consistent with ML and Data Science Platforms patterns, including time series ingestion from sensor streams, feature engineering and model training pipelines, anomaly detection and scoring, and dashboarding for operational users. Module usage such as ride-quality monitoring and predictive maintenance is inferred from CEMIT's product focus and referenced case mentions rather than an explicit module-level case study.
Operational scope emphasized operations and infrastructure maintenance teams in Norway, with outputs intended to detect ride comfort degradations and anticipate equipment failures to improve service reliability as explicitly expected in source notes. Governance and operational workflows are expected to include model lifecycle management, alerting and escalation paths into maintenance planning, and centralized monitoring of model performance to support ongoing operations, consistent with the role of ML and Data Science Platforms in transit infrastructure monitoring.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power BI | Analytics and BI | Analytics and BI | n/a | 2020 | 2020 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power Apps | Apps Development | PaaS | n/a | 2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2017 | 2017 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Security (AppSec) | CyberSecurity |
|
2020 | 2020 |
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Secure Sockets Layer (SSL) | CyberSecurity |
|
2013 | 2013 |
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|
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Secure Sockets Layer (SSL) | CyberSecurity |
|
2018 | 2018 |
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