Tokyo, 103-8668,
Japan
Takeda Technographics
Takeda Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Takeda and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50000 Takeda employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Takeda has purchased the following applications: SAP S/4 HANA for ERP Financial in 2020, Deepcheck ML Monitoring for MLOps Platforms in 2025, Mitsubishi ML Chain Platform for Blockchain Platform 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 Takeda is running and its propensity to invest more and deepen its relationship with SAP , Deepchecks , Mitsubishi Logistics 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 Takeda revenues, which have grown to $30.60 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 Takeda 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.
Takeda Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP S/4 HANA | ERP Financial | ERP Financial Management | n/a | 2020 | 2021 |
In 2020, Takeda implemented SAP S/4 HANA as its core ERP Financial platform. The engagement established SAP S/4 HANA to consolidate transactional finance with manufacturing event resolution and to provide a single system of record for finance and operations.
The implementation included SAP S/4 HANA finance capabilities such as general ledger, accounts payable, accounts receivable, and controlling, alongside manufacturing-focused configuration informed by PM, PP, and QM specialization. Configuration work emphasized plant maintenance workflows, production planning execution, quality inspection integration, and the mapping of shop floor confirmations to financial document flows, reflecting the Sr SAP S4 Hana MFG - PM PP QM Consultant remit.
Architecturally the deployment emphasized alignment between operational transaction streams and financial posting, with design patterns that link production orders, maintenance orders, and quality inspection outcomes to cost accounting and financial ledgers inside SAP S/4 HANA. Integration touchpoints were scoped to support unified master data, cost center and order accounting, and process level traceability between manufacturing and finance functions.
Governance and process changes focused on master data harmonization, role based authorizations, and defined workflow ownership across finance, maintenance, production, and quality teams. The rollout prioritized standardized S/4 HANA process variants and operational readiness activities to embed end to end finance and manufacturing process controls.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Deepchecks | Legacy | Deepcheck ML Monitoring | MLOps Platforms | AI Development | n/a | 2025 | 2025 |
In 2025, Takeda is listed as a Deepchecks enterprise customer and appears to be using Deepcheck ML Monitoring, an MLOps Platforms application, to support LLM evaluation and ML monitoring for research and R&D across Japan and global teams. This links the company name, application name, and Apps Category directly to Takeda research and R&D functions.
Signals indicate deployment of Deepcheck ML Monitoring capabilities focused on LLM evaluation workflows and continuous model monitoring, including model performance tracking, data quality and model validation checks, and automated alerting and dashboards. These capabilities align with standard MLOps Platforms functionality for instrumentation of evaluation pipelines and monitoring telemetry.
Operational scope is centered on research and R&D departments in Japan with extension to global research teams, signaling configuration for collaborative experiment tracking and centralized monitoring visibility across sites. The implementation narrative emphasizes support for research workflows and reproducible model evaluation rather than broad enterprise system integration.
Governance indications point to formalized model evaluation checkpoints and monitoring rules for LLMs and predictive models to support research governance and auditability, with the vendor customer listing serving as the public evidence. Deepchecks has not published a named case study for Takeda, so specific outcomes, costs, and timeline details are not available publicly.
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Mitsubishi Logistics | Legacy | Mitsubishi ML Chain Platform | Blockchain Platform | Blockchain | n/a | 2022 | 2022 |
In 2022 Takeda deployed the Mitsubishi ML Chain Platform as a Blockchain Platform to visualize temperature and location data across its pharmaceutical distribution in Japan. The deployment focused on end to end visibility for cold chain shipments, instrumenting telemetry and geolocation records to create a tamper resistant system of record for transport conditions and location history.
Mitsubishi ML Chain Platform implementation included telemetry visualization and location tracking capabilities that aggregate IoT temperature feeds and GPS checkpoints into a blockchain ledger. Smart contract functionality was later added to the Mitsubishi ML Chain Platform to automatically verify subcontractor permits and to record audit events, creating automated verification workflows and immutable audit trails for subcontractor compliance activities.
Operational coverage was explicitly the pharmaceutical distribution network in Japan, and the affected business functions included supply chain quality control, traceability, and regulatory compliance workflows tied to Good Distribution Practice. Governance changes centered on using on chain audit records and smart contract checks to shift permit verification from manual document review to an automated verification and audit process, improving traceability and helping ensure GDP compliance.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Audio Video and Web Conferencing | Collaboration |
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2018 | 2018 |
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Collaboration | Collaboration |
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2019 | 2019 |
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Collaboration | Collaboration |
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2020 | 2020 |
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Event Management | Collaboration |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Signing | Content Management |
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2021 | 2021 |
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Web Content Management | Content Management |
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2019 | 2019 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Order Management | SCM |
|
2023 | 2023 |
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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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2016 | 2016 |
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CRM | CRM |
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2013 | 2013 |
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Customer Data Platform | CRM |
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2021 | 2021 |
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Customer Data Platform | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2018 | 2018 |
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Life Sciences CRM | CRM |
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2025 | 2025 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | 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 |
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2017 | 2017 |
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Application Performance Management | ITSM |
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2021 | 2021 |
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IT Service Management | ITSM |
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2018 | 2018 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Life Science R&D Platforms | PLM and Engineering |
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2017 | 2017 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Procurement | Procurement |
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2016 | 2016 |
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Supplier Relationship Management | Procurement |
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2016 | 2016 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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Whistleblowing Management | TRM |
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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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API Management, iPaaS (Integration Platform as a Service) | PaaS |
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2022 | 2023 |
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Master Data Management | PaaS |
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2022 | 2023 |
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Transactional Email | PaaS |
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2020 | 2020 |
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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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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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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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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
|
2018 | 2018 |
|
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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Identity and Access Management (IAM) | CyberSecurity |
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2017 | 2017 |
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Identity and Access Management (IAM) | CyberSecurity |
|
2022 | 2022 |
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Secure Email Gateways (SEGs) | CyberSecurity |
|
2017 | 2017 |
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IT Decision Makers and Key Stakeholders at Takeda
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Takeda Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||