Osaka, 541-0045,
Japan
Shionogi Technographics
Shionogi Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Shionogi and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 5200 Shionogi employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Shionogi has purchased the following applications: SAS Visual Data Mining and Machine Learning for ML and Data Science Platforms in 2025, SAS Visual Analytics for Analytics and BI in 2025, Zoom for Audio Video and Web Conferencing 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 Shionogi is running and its propensity to invest more and deepen its relationship with SAS Institute , Zoom Video Communications , Microsoft 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 Shionogi revenues, which have grown to $3.00 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 Shionogi 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.
Shionogi Tech Stack and Enterprise Applications
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAS Institute | Legacy | SAS Visual Data Mining and Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2025 | 2025 |
In 2025, Shionogi implemented SAS Visual Data Mining and Machine Learning as part of a platform initiative in ML and Data Science Platforms across its Data Science Department. The deployment was built on SAS Viya and produced an AI-driven layer called AI-SAS that semiautomatically generates SAS programs to support regulated clinical trial analysis and reporting.
The implementation centralized machine learning and deep learning capabilities within SAS Visual Data Mining and Machine Learning, including use cases that relied on convolutional neural networks and other deep learning techniques. Engineers used Python workflows exposed through the SAS Viya interface to produce readable, SAS-native program output, enabling the majority SAS-skilled programming staff to consume advanced models without creating a black box. The configuration focused on program generation automation, model training and inferencing pipelines, and reusable analytical templates for repeated trial tasks.
Operational coverage targeted clinical trial analytics and the broader drug development lifecycle, with the Data Science Department driving semiautomation of routine SAS programming tasks that previously consumed substantial hours per trial. The system was applied to regulatory-compliant analysis and reporting workflows and is being adopted by other Japanese pharmaceutical companies and contract research organizations, with intentions to expand globally. Shionogi also plans to extend the approach into human resources, health management and real world data analysis.
Governance and workflow changes formalized a pattern of delegating repetitive program production to AI-SAS while retaining human oversight for safety, efficacy and compliance reviews. The program templates and model artifacts were governed within the SAS Viya environment to ensure reproducibility and auditability, aligning evidence generation around SAS as the central analysis tool. This alignment supports Shionogi’s strategic shift toward a health care as a service, HaaS business model.
Results reported by Shionogi include a reduction in standard analysis time per trial of 30 percent, equating to approximately 100 hours less analysis time per trial from a prior baseline of 350 hours. The company cites improved efficiency in clinical trial analytics and recognition as a Noteworthy DX Company by the Ministry of Economy, Trade and Industry, outcomes that informed further internal adoption and external interest from peers in the pharmaceutical ecosystem.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAS Institute | Legacy | SAS Visual Analytics | Analytics and BI | Analytics and BI | n/a | 2025 | 2025 |
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Analytics and BI | Analytics and BI |
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2025 | 2025 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zoom Video Communications | Legacy | Zoom | Audio Video and Web Conferencing | Collaboration | n/a | 2022 | 2022 |
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Collaboration | Collaboration |
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2020 | 2020 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Asset Management | Content Management |
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2020 | 2020 |
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Digital Signing | 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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Customer Experience | CRM |
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2019 | 2019 |
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Tag Management | CRM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2021 | 2021 |
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Master Data Management | PaaS |
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2025 | 2025 |
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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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2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Shionogi
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Shionogi Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||