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
Shionogi 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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Shionogi 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 |
In 2025, Shionogi deployed SAS Visual Analytics as a core component of a SAS Viya based program to semiautomate clinical trial analysis while preserving safety, efficacy and regulatory compliance. The implementation was led by Shionogi’s Data Science Department and targeted routine analytical programming tasks in drug development to accelerate evidence generation and support the company’s shift toward a health care as a service model.
The technical solution centers on the AI SAS Programmer System AI-SAS built on SAS Viya, which semiautomatically generates SAS programs and embeds machine learning and deep learning capabilities, including convolutional neural networks. The implementation emphasized readable Python driven workflows within the SAS Viya interface so that predominantly SAS trained programmers could retain transparency and operability, and the deployment reduced standard analysis time per trial by 30 percent from a 350 hour baseline, representing roughly a 100 hour reduction per trial as reported.
Operational coverage focused on clinical development and drug development functions, with the Data Science Department operating the platform and workflows used across Shionogi’s trial portfolio. SAS Visual Analytics was applied for analysis orchestration and reporting within the broader Analytics and BI footprint, and the AI-SAS approach is being adopted by other Japanese pharmaceutical companies and CROs with plans for broader national and global rollout.
Governance elements included building robust data governance and compliance controls into the SAS Viya environment, simplifying the implementation of machine learning and deep learning while maintaining auditability for regulatory submissions. The program shifted routine programming work to semiautomated processes, enabling data scientists to prioritize higher value tasks and supporting changes in workflow ownership and review procedures.
Documented outcomes include the reported 30 percent reduction in analysis workload per trial, recognition as a Noteworthy DX Company by the Ministry of Economy Trade and Industry, and plans to extend AI driven analytics to areas such as human resources, health management and real world data analysis. Shionogi positions SAS Visual Analytics and the AI-SAS system as foundational to faster clinical evidence generation and broader HaaS ambitions.
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Analytics and BI | Analytics and BI |
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2025 | 2025 |
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Shionogi 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 |
In 2022, Shionogi deployed Zoom for Audio Video and Web Conferencing on its public website to surface real-time meeting and webinar access directly from the corporate site. The implementation exposes Zoom meeting and webinar capabilities to external users, enabling browser-based join flows, participant audio and video controls, and scheduled session access via the web presence.
Configuration emphasizes embedding Zoom components into web pages and aligning join and scheduling workflows with the site navigation, while relying on Zoom client behaviors for media transport and session management. Operational scope centers on corporate communications and external stakeholder engagement through the website, with implementation and governance managed internally as no external system integrator is listed.
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Collaboration | Collaboration |
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2020 | 2020 |
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Shionogi 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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Shionogi 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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Shionogi 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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Shionogi 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 | |
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Apps Being Evaluated by Shionogi Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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