Baoding, 71000,
China
Great Wall Motor China Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Great Wall Motor China and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 84915 Great Wall Motor China 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 China has purchased the following applications: OpenResty ENTERPRISE for Apps Development in 2019, Kingsoft Cloud MapReduce for Application Hosting and Computing Services in 2018, GlobalSign SSL RSA for Secure Sockets Layer (SSL) in 2019 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 China is running and its propensity to invest more and deepen its relationship with OpenResty , Alibaba , Kingsoft Cloud 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 China revenues, which have grown to $28.31 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 China 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.
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| OpenResty | Legacy | OpenResty ENTERPRISE | Apps Development | PaaS | n/a | 2019 | 2019 |
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Transactional Email | PaaS |
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2019 | 2019 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Kingsoft Cloud | Legacy | Kingsoft Cloud MapReduce | Application Hosting and Computing Services | IaaS | n/a | 2018 | 2018 |
In 2018 Great Wall Motor deployed Kingsoft Cloud MapReduce within Application Hosting and Computing Services to run cloud based big data analytics for vehicle telemetry, logs and Internet of Vehicles scenarios across its China operations. The implementation was explicitly aimed at improving operational analytics and scalability for telemetry ingestion and centralized log processing.
Kingsoft Cloud MapReduce was configured using its Hadoop and Spark based modules to support both batch and stream processing workloads. The deployment used distributed storage and Spark compute to host telemetry data pipelines and analytics jobs, with cluster provisioning and resource orchestration consistent with MapReduce style platforms.
Operational coverage focused on engineering, telematics and operations analytics teams responsible for IoV use cases and fleet level monitoring in China. Governance and operational processes centered on centralized data ingestion, job orchestration and cluster management to standardize telemetry and log processing workflows while enabling scalable analytics.
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Application Hosting and Computing Services | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| GlobalSign | Legacy | GlobalSign SSL RSA | Secure Sockets Layer (SSL) | CyberSecurity | n/a | 2019 | 2019 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2020 | 2020 |
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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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