Chunghwa Telecom Co., Ltd.
12F, 456, Hsin Yi Rd., Sec. 4,,
Taipei City, 11052,
Taiwan
Taipei City, 11052,
Taiwan
886-223456168
Banking and Financial Services
Chunghwa Telecom Co., Ltd. Technographics
Chunghwa Telecom Co., Ltd. Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Chunghwa Telecom Co., Ltd. and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 13 Chunghwa Telecom Co., Ltd. employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
Chunghwa Telecom Co., Ltd. has purchased the following applications: Ericsson 5G Advanced for OSS/BSS in 2025, Ericsson Cognitive Network Solution for Generative AI Platforms in 2025, LnData Ln Neuro for Analytics and BI in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Chunghwa Telecom Co., Ltd. is running and its propensity to invest more and deepen its relationship with Ericsson , LnData , Sitecore 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 Chunghwa Telecom Co., Ltd. revenues, which have grown to $2.0 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 Chunghwa Telecom Co., Ltd. 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.
Chunghwa Telecom Co., Ltd. Data, Technology Stack, and Enterprise Applications
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Ericsson | Legacy | Ericsson 5G Advanced | OSS/BSS | ERP Services and Operations | n/a | 2025 | 2025 |
In 2025, Chunghwa Telecom Co., Ltd. signed a cooperation memorandum of understanding with Ericsson at MWC 2025 to accelerate deployment of Ericsson 5G Advanced and 5G Standalone capabilities across Taiwan. The agreement centers on OSS/BSS-driven service differentiation and network automation, with an explicit focus on AI-native programmable networks and expanded network APIs to expose capabilities to service teams and partners.
The Ericsson 5G Advanced implementation narrative for OSS/BSS emphasizes category-aligned modules such as network slicing management, orchestration and automated service lifecycle, policy control and charging integration, and API exposure for programmable control. Configuration work is expected to prioritize automation of service provisioning and closed loop operations, aligning OSS/BSS workflows with AI-native network telemetry and intent based orchestration.
Integrations will be concentrated on network APIs and programmable control planes, linking the Ericsson 5G Advanced stack to OSS/BSS inventory, assurance and service fulfillment functions, and aligning with 5G Standalone core and transport domains in Taiwan. Operational scope described in the MoU covers network operations, service delivery and product teams within Chunghwa Telecom Co., Ltd., with a focus on enabling new differentiated services through OSS/BSS capabilities.
Governance and rollout are positioned around joint technical governance and API first operations, with cross functional teams established to align OSS/BSS automation, service design and network engineering. The public announcement frames the collaboration as an acceleration effort toward automated, API driven OSS/BSS processes and programmable network operations in Taiwan rather than as a detailed technology procurement schedule.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Ericsson | Legacy | Ericsson Cognitive Network Solution | Generative AI Platforms | AI Development | n/a | 2025 | 2025 |
In 2025 Chunghwa Telecom Co., Ltd. implemented Ericsson Cognitive Network Solution as a Generative AI Platforms deployment for RAN and site management. The implementation bundled Ericsson Site Digital Twin, Ericsson Network Intelligence ENI, and Generative AI capabilities to provide predictive congestion modeling and automated resource optimization during peak events in Taiwan.
The deployment used a Site Digital Twin to model physical site layouts and traffic patterns, while Ericsson Network Intelligence provided closed loop automation to translate predictions into control actions. Generative AI Platforms functionality was applied to predict short term congestion and generate optimized configuration changes, enabling automated adjustments to radio resource allocations and site-level parameters without manual intervention.
Operational coverage centered on network operations and RAN site management across Taiwan, with the solution exercised during Taipei New Year’s Eve events in early 2025. Integration was implemented at the network control and site management layers to allow ENI driven orchestration to apply changes directly to RAN control loops and site configuration workflows, reducing the need for technicians on site.
Governance and operational processes were restructured to prioritize automated event response and digital twin validation workflows, with runbooks updated to accept AI-generated optimization recommendations. The implementation increased effective network capacity by nearly 14 percent during the surge events, while reducing on-site interventions and operational cost and maintaining 5G performance in high-traffic conditions.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| LnData | Legacy | LnData Ln Neuro | Analytics and BI | Analytics and BI | n/a | 2021 | 2021 |
In 2021 Chunghwa Telecom Co., Ltd. established a DHUB service in strategic cooperation with LnData to support telecom big data applications in Taiwan. The engagement aligns with deployment patterns for LnData Ln Neuro, Analytics and BI, and was positioned to enable telecom analytics and data driven services across retail and media scenarios.
Implementation scope centered on a centralized analytics hub model that consolidated telecom event streams and customer data for analysis. Functional capabilities inferred from the engagement and LnData's portfolio include data ingestion and ETL, real time analytics and streaming insights, visualization and dashboarding, and model orchestration to support segmentation and targeting workflows for retail and media use cases. LnData Ln Neuro is referenced as the application class, indicating the use of Analytics and BI tooling to operationalize insights for business users.
Operational coverage focused on telecom analytics use cases in Taiwan, with the DHUB intended to connect network and service telemetry to downstream retail and media business functions. Governance and process changes emphasized centralized data governance and role based access to analytics artifacts, with an architecture that separates data processing pipelines from presentation layer reporting to support repeatable analytics operations.
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Web Content Management | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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CRM | CRM |
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2021 | 2022 |
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Digital Advertising Platform | CRM |
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2022 | 2022 |
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Marketing Automation, Customer Analytics, Customer Identification | CRM |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
|
2007 | 2008 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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2D/3D Simulation | PLM and Engineering |
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2007 | 2007 |
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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 |
|
2000 | 2000 |
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IT Decision Makers and Key Stakeholders at Chunghwa Telecom Co., Ltd.
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Chunghwa Telecom Co., Ltd. Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
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FAQ - APPS RUN THE WORLD Chunghwa Telecom Co., Ltd. Technographics
Chunghwa Telecom Co., Ltd. is a Banking and Financial Services organization based in Taiwan,
with around 13 employees and annual revenues of $2.0 million.
Chunghwa Telecom Co., Ltd. operates a diverse technology stack with applications such as
Ericsson 5G Advanced, Ericsson Cognitive Network Solution and LnData Ln Neuro,
covering areas like OSS/BSS, Generative AI Platforms and Analytics and BI.
Chunghwa Telecom Co., Ltd. has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Ericsson and LnData.
Chunghwa Telecom Co., Ltd. recently adopted applications including
Ericsson 5G Advanced in 2025, Ericsson Cognitive Network Solution in 2025 and Magnite (ex Rubicon Project) in 2022,
highlighting its ongoing modernization strategy.
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available to Premium subscribers.
Our research team continuously updates Chunghwa Telecom Co., Ltd.’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
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