Exeter, EX1 3PB,
United Kingdom
Met Office Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Met Office and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1998 Met Office employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Met Office has purchased the following applications: Moodle LMS for Learning and Development in 2018, Eptura Condeco Booking for Reservation and Booking Management in 2025, GumGum for Artificial Intelligence Marketing in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Met Office is running and its propensity to invest more and deepen its relationship with Moodle , Eptura , GumGum 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 Met Office revenues, which have grown to $312.0 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 Met Office 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Moodle | Legacy | Moodle LMS | Learning and Development | HCM | n/a | 2018 | 2018 |
|
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Eptura | Legacy | Eptura Condeco Booking | Reservation and Booking Management | ERP Services and Operations | n/a | 2025 | 2025 |
In 2025, the Met Office implemented Eptura Condeco Booking as its centralized Reservation and Booking Management platform to address widespread room booking conflicts at its large UK headquarters with meeting spaces across multiple floors. The deployment focused on consolidating visibility for boardrooms, private pods and multipurpose spaces so employees and facilities staff could find and reserve appropriate rooms from a single system.
Eptura Condeco Booking was configured with integrated analytics and presence detection sensors to provide real-time availability and automatic release of no-show rooms. The implementation included configurable booking permissions and custom rules per room, combined with scheduling, check-in and occupancy tracking capabilities to enforce local space policies and support internal use and managed sublet spaces.
Operational coverage centered on facilities management, IT and all employee teams based at the UK headquarters, with the platform surfacing occupancy and utilization data for floor-by-floor planning. Visibility into every meeting space was unified on the Eptura Condeco Booking platform, enabling standardized booking workflows and consistent user experience across sites on different floors.
Governance changes introduced fine-grained permission controls and room-specific rules to reduce scheduling friction and streamline administration. Outcomes reported by the organization included full visibility of meeting spaces, 90% fewer double bookings, real-time availability driven by presence sensors, advanced analytics for occupancy and peak usage insights, and improved collaboration through reduced time spent searching for and setting up rooms.
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| GumGum | Legacy | GumGum | Artificial Intelligence Marketing | AI-Powered Application | n/a | 2022 | 2022 |
|
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Analytics and BI | Analytics and BI |
|
2012 | 2013 |
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Audio Video and Web Conferencing | Collaboration |
|
2013 | 2013 |
|
|
|
|
|
Collaboration | Collaboration |
|
2017 | 2017 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Web Content Management | Content Management |
|
2020 | 2020 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Digital Advertising Platform | CRM |
|
2017 | 2017 |
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Digital Advertising Platform | CRM |
|
2015 | 2015 |
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Digital Advertising Platform | CRM |
|
2017 | 2017 |
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Digital Advertising Platform | CRM |
|
2018 | 2018 |
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Marketing Analytics | CRM |
|
2009 | 2009 |
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Tag Management | CRM |
|
2016 | 2016 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
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IT Service Management | ITSM |
|
2018 | 2018 |
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IT Service Management | ITSM |
|
2019 | 2019 |
|
TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Governance, Risk and Compliance | TRM |
|
2021 | 2021 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Content Delivery Network | IaaS |
|
2014 | 2014 |
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Content Delivery Network | IaaS |
|
2022 | 2022 |
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Digital Workspace | IaaS |
|
2014 | 2014 |
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| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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