Kyoto, 612-8501,
Japan
Kyocera Japan Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Kyocera Japan and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 77136 Kyocera Japan employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Kyocera Japan has purchased the following applications: KnowBe4 HRM+ for Learning and Development in 2023, IBM SPSS Modeler for ML and Data Science Platforms in 2018, Cisco Webex Meetings for Audio Video and Web Conferencing in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Kyocera Japan is running and its propensity to invest more and deepen its relationship with KnowBe4 , UKG , IBM 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 Kyocera Japan revenues, which have grown to $13.17 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 Kyocera Japan 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| KnowBe4 | Legacy | KnowBe4 HRM+ | Learning and Development | HCM | n/a | 2023 | 2023 |
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Recruiting, Applicant Tracking System | HCM |
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2025 | 2025 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM SPSS Modeler | ML and Data Science Platforms | AI Development | n/a | 2018 | 2018 |
In 2018, Kyocera Japan implemented IBM SPSS Modeler as part of a factory analytics platform, using ML and Data Science Platforms to detect root causes of defects and optimize production planning across its Japanese plants. IBM SPSS Modeler was embedded as the primary model design and scoring engine within the initiative to drive manufacturing and process improvement use cases.
The deployment architecture integrated IBM SPSS Modeler with IBM Cloud Pak for Data and GIView, enabling a managed model lifecycle and operational scoring inside the factory analytics stack. Functional capabilities implemented included root cause analysis, predictive defect detection, and demand driven production planning models, with model training and validation workflows centralized in the Cloud Pak for Data environment.
Operational scope covered multiple Kyocera manufacturing sites in Japan, with the system supporting quality engineering, production planning, and plant operations teams. The implementation linked predictive model outputs into planning workflows to prioritize inspections and adjust production sequencing, embedding analytics into day to day manufacturing decision making.
Governance and rollout established model monitoring and iterative retraining processes to support continuous production goals, and operational procedures were adjusted to act on model recommendations. Outcomes reported include reduced defect related losses and a yield increase of about 6 percent, which enabled higher equipment utilization and steps toward autonomous, continuous production.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cisco Systems | Legacy | Cisco Webex Meetings | Audio Video and Web Conferencing | Collaboration | n/a | 2017 | 2017 |
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Audio Video and Web Conferencing | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Collaboration | Collaboration |
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2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Tag Management | CRM |
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2016 | 2016 |
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Tag Management | CRM |
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2023 | 2023 |
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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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2023 | 2023 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2024 | 2024 |
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Transactional Email | 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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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2024 | 2024 |
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Domain Name System (DNS) | IaaS |
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2023 | 2023 |
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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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2023 | 2023 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2024 | 2024 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2016 | 2016 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2021 | 2021 |
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