Minato City, Tokyo, 107-0052,
Japan
FUJIFILM Business Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by FUJIFILM Business and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 38207 FUJIFILM Business employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
FUJIFILM Business has purchased the following applications: Microsoft Dynamics 365 for Finance and Operations for ERP Financial in 2022, Oracle Cloud HCM Compensation for Compensation Management in 2020, Adobe Connect 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 FUJIFILM Business is running and its propensity to invest more and deepen its relationship with Microsoft , Oracle , Adobe Systems 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 FUJIFILM Business revenues, which have grown to $13.63 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 FUJIFILM Business 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Dynamics 365 for Finance and Operations | ERP Financial | ERP Financial Management | n/a | 2022 | 2022 |
In 2022, FUJIFILM Business implemented Microsoft Dynamics 365 for Finance and Operations as its core system, classified under ERP Financial. The Core System Renewal Project at Fujifilm Business Innovation positioned this implementation within a company-wide Business DX initiative that targeted operational reform and specifically prioritized AI-driven improvements to payment settlement workflows.
The deployment combined Microsoft Dynamics 365 for Finance and Operations with a purpose-built AI reconciliation solution, configured to separate automated processing from manual review based on AI confidence scores. The AI was developed in-house rather than relying solely on managed AI services, and the implementation included custom business logic to reflect tacit accounting rules and strict security policies. Automation and orchestration layers were implemented using Power Automate and RPA, enabling rule-based handoffs between automated and manual tasks.
Azure served as the cloud infrastructure for the solution, using Azure virtual machines, Azure Storage, Azure Machine Learning, and Azure CLI to host and operationalize the AI models and supporting services. The technical architecture linked Azure-hosted AI and services to Dynamics 365 via RPA and Power Platform connectors, and Microsoft 365 was used for adjacent productivity and process integration. The system design accounted for high-volume financial operations, specifically handling over 100,000 payments and 1.2 million invoices per month in payment reconciliation workflows.
Governance and rollout were organized under the Core System Renewal Project and the DX Promotion Department, with the Technology Development Group and Reform Promotion Group coordinating parallel development between business and technical teams. The business organization drove process definition and confidence thresholds while the technology group iterated on model accuracy through agile cycles informed by field interviews. Change management included reshaping operator expectations about AI outputs and codifying veteran knowledge into deterministic logic to avoid unacceptable errors in accounting processes.
The implementation was framed as an AI utilization project to improve the efficiency of payment settlement, and Microsoft provided operational support for scaling and security to maximize Azure performance. Microsoft Dynamics 365 for Finance and Operations, paired with Azure and Power Platform components, forms the ERP Financial backbone for FUJIFILM Business and its automated payment reconciliation capability.
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Cloud HCM Compensation | Compensation Management | HCM | n/a | 2020 | 2020 |
In 2020, FUJIFILM Business implemented Oracle Cloud HCM Compensation as part of a broader Oracle Cloud HCM deployment to consolidate HR services and support a service oriented mindset across its Asia Pacific footprint. The company moved toward a single cloud HR platform to address a previous HR environment that consisted of 256 different interfaces across 53 disparate systems, aiming to decrease complexity and provide unified employee records and real time visibility.
The implementation included Oracle Cloud HCM Core HR and Oracle HR Help Desk alongside Oracle Talent Management modules for Recruiting, Performance Management, Learning, Talent Review, and Compensation and Goals Management, with a specific emphasis on Oracle Cloud HCM Compensation for centralized pay and reward processes. Fujifilm BI highlighted fast turnaround to go live, scalability, data security, localization, and ease of setup as selection criteria, aligning the Compensation Management capability with talent, performance, and learning workflows to support lifecycle processes from hiring to global assignment.
Architecturally the solution was deployed as a cloud native HR platform with regular upgrades and centralized data access, removing the need for on premise hardware and enabling real time access to leave, performance, compensation, and employee records across Japan, China, and other Asia Pacific countries. The deployment supported linkage to social media for broader candidate sourcing and enabled cross country resource moves by surfacing employee profiles and competencies for international assignments.
Governance and operational change included consolidation of HR service delivery and new analytics driven decision workflows so HR leaders could make quicker employee related decisions and share information across countries. Oracle Consulting supported the implementation, and Fujifilm BI reported improved employee experience, accessible real time information during the pandemic, reduced compliance risk, and lowered total cost of ownership as explicit outcomes of moving compensation and broader HR processes onto the Oracle Cloud HCM platform.
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Core HR | HCM |
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2020 | 2020 |
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Performance and Goal Management | HCM |
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2020 | 2020 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| Adobe Systems | Legacy | Adobe Connect | Audio Video and Web Conferencing | Collaboration | n/a | 2017 | 2017 |
In 2017, FUJIFILM Business implemented Adobe Connect as its Audio Video and Web Conferencing solution and deployed Adobe Connect on its public website to host live sessions and customer-facing events. The deployment placed the application at the front end of online engagement workflows, making Adobe Connect the primary platform for web-based meetings and webinars delivered through the company site.
The implementation leveraged standard Audio Video and Web Conferencing capabilities, including virtual meeting rooms, webinar hosting, screen sharing, session recording with on-demand playback, and centralized content management for presentation assets. Adobe Connect was configured to present branded meeting interfaces and reusable session templates, supporting repeatable webinar and training workflows and structured presentation delivery.
Operational coverage oriented the tool toward customer engagement and internal training within FUJIFILM Business professional services functions, supporting client demonstrations, partner briefings, and instructor-led remote training. Governance centered on site-level administration, session scheduling controls, and role-based access to meeting templates and recordings, aligning conferencing workflows with marketing and service delivery processes.
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Audio Video and Web Conferencing | Collaboration |
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2017 | 2017 |
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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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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM, Sales Engagement | CRM |
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2019 | 2020 |
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Customer Experience | CRM |
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2018 | 2018 |
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Data Management Platform | CRM |
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2018 | 2018 |
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Digital Advertising Platform | CRM |
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2013 | 2013 |
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Digital Advertising Platform | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Sales Enablement | CRM |
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2020 | 2020 |
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PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Project Portfolio Management | PPM |
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2019 | 2019 |
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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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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2019 | 2019 |
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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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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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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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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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2017 | 2017 |
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