Havoysund, N-9691,
Norway
Arctic Wind Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Arctic Wind and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 20 Arctic Wind employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Arctic Wind has purchased the following applications: Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2017, Microsoft 365 for Collaboration in 2017, SAP Leonardo IoT for IoT Platform in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Arctic Wind is running and its propensity to invest more and deepen its relationship with Microsoft , GoDaddy , SAP 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 Arctic Wind revenues, which have grown to $12.0 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 Arctic Wind 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.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2017 | 2017 | ||
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Application Hosting and Computing Services | IaaS |
|
2021 | 2021 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2017 | 2017 |
Internet of Things
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Leonardo IoT | IoT Platform | Internet of Things | n/a | 2017 | 2018 | In 2017 Arctic Wind implemented SAP Leonardo IoT as a maintenance helper, adopting the SAP Leonardo IoT application within an IoT Platform to support asset upkeep and operational monitoring. The deployment targeted the companys maintenance workflows for its Norway operations, establishing a clear Company Application Category Business Function relationship between Arctic Wind, SAP Leonardo IoT, IoT Platform and maintenance operations. The implementation focused on core IoT Platform capabilities, including device and sensor telemetry ingestion, asset state modeling, event rule processing, and visualization for maintenance teams. SAP Leonardo IoT was configured to capture sensor streams, normalize telemetry, and surface condition-based alerts and dashboards for technicians, enabling standard maintenance workflows and exception handling. Configuration emphasized lightweight device onboarding and cloud-hosted telemetry pipelines consistent with small professional services operational scale. Governance and rollout were organized as a focused operational program for maintenance and field functions, with staged asset onboarding, role based access for maintenance staff, and defined alerting and escalation processes. Process changes centered on instrumenting assets for condition monitoring and aligning maintenance tasking to event driven triggers, with governance controls for who configures device models and who owns rule definitions. |
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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|
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ML and Data Science Platforms | AI Development |
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2017 | 2018 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| Date | Company | Status | Vendor | Product | Category | Market |
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