Tokyo, 105-7511,
Japan
DiDi Mobility Japan Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by DiDi Mobility Japan and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 36 DiDi Mobility 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 DiDi Mobility Japan has purchased the following applications: Azure Translator for Natural Language Processing in 2018, Google Workspace (Formerly Google G-Suite) for Collaboration in 2018, WordPress for Web Content Management in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems DiDi Mobility Japan is running and its propensity to invest more and deepen its relationship with Microsoft , Google , Automattic 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 DiDi Mobility Japan revenues, which have grown to $13.0 million 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 DiDi Mobility 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.
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Azure Translator | Natural Language Processing | AI-Powered Application | n/a | 2018 | 2018 |
In 2018 DiDi Mobility Japan integrated Azure Translator, leveraging Azure Cognitive Services Translator Text, into its driver and passenger mobile application to provide in-app two-way translation for inbound foreign visitors. DiDi Mobility Japan implemented Azure Translator as a Natural Language Processing capability to support rider-driver communication and live interactions during trips.
The implementation embedded two-way translation into the app UI and invoked Azure Translator real-time translation APIs for conversational exchanges. Functional elements included automatic language detection and bi-directional text translation flows to enable live messages between riders and drivers, with translation processing performed by Microsoft’s cloud-hosted cognitive service. Integration focused on client-driven API calls from the mobile application to Azure Cognitive Services Translator Text endpoints to minimize latency in conversational contexts.
The translation feature shipped with DiDi’s Japan launch and operated across driver and passenger workflows in Japan, specifically supporting inbound foreign visitors and front-line customer communications. Governance emphasized application-level controls and operational guidance so drivers could use translation features while concentrating on safe driving, an outcome noted in public reporting. This implementation positioned Azure Translator as a Natural Language Processing component embedded in core ride workflows to improve rider-driver communication.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Automattic | Legacy | WordPress | Web Content Management | Content Management | n/a | 2018 | 2018 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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eCommerce | eCommerce |
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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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2018 | 2018 |
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Tag Management | CRM |
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2018 | 2018 |
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Tag Management | CRM |
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2018 | 2018 |
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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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2025 | 2025 |
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Transactional Email | PaaS |
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2018 | 2018 |
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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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2024 | 2024 |
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Application Hosting and Computing Services | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Domain Name System (DNS) | IaaS |
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2018 | 2018 |
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Domain Name System (DNS) | IaaS |
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2021 | 2021 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Security (AppSec) | CyberSecurity |
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2020 | 2020 |
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Identity and Access Management (IAM) | CyberSecurity |
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2023 | 2023 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2019 | 2019 |
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