Gdansk, 80-233,
Poland
Gdansk University of Technology Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Gdansk University of Technology and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1300 Gdansk University of Technology employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Gdansk University of Technology has purchased the following applications: Google Tag Manager for Tag Management in 2017, Atlassian Jira Service Desk for IT Service Management in 2022, PTV Vissim for Traffic Simulation in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Gdansk University of Technology is running and its propensity to invest more and deepen its relationship with Google , Atlassian , PTV Group 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 Gdansk University of Technology revenues, which have grown to $150.0 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 Gdansk University of Technology 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.
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2017 | 2017 |
|
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Atlassian | Legacy | Atlassian Jira Service Desk | IT Service Management | ITSM | n/a | 2022 | 2022 |
|
PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| PTV Group | Legacy | PTV Vissim | Traffic Simulation | PLM and Engineering | n/a | 2018 | 2018 |
In 2018 Gdansk University of Technology implemented PTV Vissim for Traffic Simulation as part of the RID2B research program. The deployment supported research commissioned by GDDKiA and funded by NCBR, focused on modern methods for calculating capacity and assessing traffic conditions on roads outside agglomerations, including motorways and express roads.
PTV Vissim was used to develop microsimulation models that replicate weaving sections and merging behavior on high speed roadways. The implementation centered on model configuration, calibration and scenario analysis, running comparative assessments alongside HCM and HBS calculation methods. Functional workstreams included network geometry modeling, vehicle behavior parameterization, demand loading, and sensitivity testing of selected factors affecting weaving area performance.
Operational coverage targeted weaving sections on motorways and express roads in Poland, executed by a university research team in collaboration with the client agencies. Models were iteratively validated using observed traffic patterns and used to generate comparative outputs for capacity estimation and traffic condition assessment. The work was organized within a project governance structure led by fixed term researchers, aligning deliverables to GDDKiA and NCBR requirements.
The implementation positioned Gdansk University of Technology PTV Vissim Traffic Simulation capability as the microsimulation component of a multi-method assessment framework, enabling side by side comparison with HCM and HBS methodologies and structured analysis of factor impacts on weaving sections.
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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|
|
Application Hosting and Computing Services | IaaS |
|
2020 | 2020 |
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Content Delivery Network | IaaS |
|
2021 | 2021 |
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