Back Market Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Back Market and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 700 Back Market employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Back Market has purchased the following applications: Adyen for Payment Processing in 2018, Google Cloud Vertex AI for Generative AI Platforms in 2024, Google BigQuery for Data Warehouse in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Back Market is running and its propensity to invest more and deepen its relationship with Adyen , Klarna , Stripe 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 Back Market revenues, which have grown to $320.0 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 Back Market 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adyen | Legacy | Adyen | Payment Processing | ERP Financial Management | n/a | 2018 | 2018 |
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Payment Processing | ERP Financial Management |
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2024 | 2024 |
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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Payment Processing | ERP Financial Management |
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2019 | 2019 |
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Payment Processing | ERP Financial Management |
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2018 | 2018 |
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Payment Processing | ERP Financial Management |
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2019 | 2019 |
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Payment Processing | ERP Financial Management |
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2024 | 2024 |
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Vertex AI | Generative AI Platforms | AI Development | n/a | 2024 | 2024 |
In 2024, Back Market began using Google Cloud Vertex AI to develop generative AI solutions as part of a broader adoption of Google Cloud infrastructure, aligning the company with the Generative AI Platforms category to support international expansion, improve customer service capabilities, and reinforce sustainability goals. The initiative centers on deploying Google Cloud Vertex AI alongside Google Cloud infrastructure and BigQuery to create a data and model platform for marketplace operations and service teams.
Google Cloud Vertex AI is being used to build capabilities that help service agents rapidly surface the history and context of customer issues for faster and more consistent resolution, and to explore language translations, content creation, and text analysis for personalized services directed at both customers and vendors. Functional workflows described include contextual understanding for agent interactions, automated text analysis and translation pipelines, and content generation workflows intended to augment customer and merchant communications.
The implementation pairs Google Cloud Vertex AI with BigQuery as the enterprise data warehouse to centralize operational data and provide secure, scalable data ingestion for model training and inference, and it builds on Back Market's existing adoption of Google Workspace from 2021 for internal collaboration. Operational coverage explicitly targets customer service and marketplace operations across Back Market's international footprint, with Vertex AI models fed by centralized BigQuery data to instrument agent-facing interfaces and content services.
Governance is oriented toward staged exploration and integration, with Back Market initiating broader generative AI use cases while preserving enterprise security and data controls through Google Cloud platform services. The agreement explicitly cites expected operational efficiencies, improved data management at scale via BigQuery, and lower carbon footprint and higher sustainability performance from Google Cloud infrastructure as outcomes aligned with Back Market's sustainability strategy.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google BigQuery | Data Warehouse | Analytics and BI | n/a | 2024 | 2024 |
In 2024, Back Market adopted Google BigQuery as its Data Warehouse to underpin a strategic migration of its cloud infrastructure to Google Cloud and to support international expansion. The implementation of Google BigQuery establishes a centralized enterprise data warehouse platform for Back Market, intended to improve the speed and ease with which the company manages data at scale and to provide higher security guarantees for marketplace data.
The deployment centers on data ingestion, scalable analytics, and analytics-ready datasets that feed generative AI workflows, with Google BigQuery functioning as the primary storage and query engine. Functional capabilities implemented include large scale analytics, dataset provisioning for machine learning, and secure data governance controls consistent with Data Warehouse operational patterns.
Integrations are explicit and material to the implementation, Back Market is leveraging Vertex AI for generative AI solutions that query BigQuery hosted datasets, and the arrangement builds on Back Market's prior adoption of Google Workspace for internal communications. Operational coverage spans Back Market's global marketplace and customer service operations, where data served from Google BigQuery will support customer, merchant, and operations analytics use cases.
The rollout reframes customer service workflows by enabling service agents to access consolidated historical context and to use generative AI summaries powered by Vertex AI and Google BigQuery, which is described as accelerating resolution consistency and speed. The migration to Google Cloud and adoption of Google BigQuery also signals a shift in infrastructure governance toward cloud native data management, with centralized controls for security and sustainability alignment.
Outcomes stated by the parties include improved operational efficiency and capacity, higher security guarantees for enterprise data, and a lower carbon footprint resulting from Google Cloud infrastructure that supports Back Market's sustainability strategy. Back Market also plans broader exploration of generative AI scenarios, including language translation, content creation, and text analysis, to deliver more personalized services for customers and vendors.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Collaboration | Collaboration |
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2016 | 2016 |
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Collaboration | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application, Web and Enterprise Search | Content Management |
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2015 | 2015 |
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Application, Web and Enterprise Search | Content Management |
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2018 | 2018 |
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Digital Signing | Content Management |
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2021 | 2021 |
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Digital Signing | Content Management |
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2021 | 2021 |
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Web Content Management | Content Management |
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2021 | 2021 |
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Web Content Management | Content Management |
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2021 | 2021 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Logistics Management | SCM |
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2019 | 2019 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Engagement, Customer Loyalty | CRM |
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2023 | 2023 |
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Customer Experience | CRM |
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2017 | 2017 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2024 | 2024 |
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Customer Support | CRM |
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2015 | 2015 |
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Customer Support | CRM |
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2019 | 2019 |
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Customer Support | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2023 | 2023 |
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Digital Advertising Platform | CRM |
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2023 | 2023 |
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Digital Advertising Platform | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Partner Relationship Management | CRM |
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2021 | 2021 |
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Partner Relationship Management | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2015 | 2015 |
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Tag Management | CRM |
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2017 | 2017 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2018 | 2018 |
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IT Service Management | ITSM |
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2018 | 2018 |
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IT Service Management | ITSM |
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2018 | 2018 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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AML, Fraud and Compliance | TRM |
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2021 | 2021 |
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AML, Fraud and Compliance | TRM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2015 | 2015 |
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Transactional Email | PaaS |
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2019 | 2019 |
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Transactional Email | PaaS |
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2024 | 2024 |
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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 |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Cloud Storage | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||