Hebei, 71000,
China
Great Wall Motor Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Great Wall Motor and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 77934 Great Wall Motor employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Great Wall Motor has purchased the following applications: Cerence CaLLM Edge for Generative AI Platforms in 2025, Slack Connect for Collaboration in 2022, Google Tag Manager for Tag Management 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 Great Wall Motor is running and its propensity to invest more and deepen its relationship with Cerence , Salesforce , Google 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 Great Wall Motor revenues, which have grown to $19.78 billion 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 Great Wall Motor 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 |
|---|---|---|---|---|---|---|---|---|
| Cerence | Legacy | Cerence CaLLM Edge | Generative AI Platforms | AI Development | n/a | 2025 | 2025 |
In 2025 Great Wall Motor demonstrated Cerence CaLLM Edge in a GWM vehicle at Auto Shanghai 2025, using Cerence xUI to showcase multimodal, multi-seat in-car conversational and infotainment interactions in English and Mandarin. The demonstration positioned Cerence CaLLM Edge within the Generative AI Platforms category as an embedded small language model configured for low latency on-device conversational user experience, tied directly to vehicle voice and display surfaces.
The implementation signal emphasized embedded on-device inference and multimodal capability, with Cerence CaLLM Edge driving simultaneous conversational channels for multiple seats and coordinating with Cerence xUI to surface voice, text and visual responses in the vehicle infotainment flow. Functional capabilities shown included natural language understanding in English and Mandarin, multi-seat session handling, and low-latency on-device generation to support conversational UX and infotainment workflows.
The Auto Shanghai event was an engineering and product demonstration rather than a production launch, with scope limited to a GWM demonstration vehicle and no public production rollout described. Governance and rollout details were not announced, the showcase served as a proof point for embedding Generative AI Platforms into in-vehicle conversational and infotainment systems and for validating on-device LLM architectures in a live automotive context.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Salesforce | Legacy | Slack Connect | Collaboration | Collaboration | n/a | 2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | 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 |
|
2022 | 2022 |
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Content Delivery Network | IaaS |
|
2022 | 2022 |
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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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