Japan Data Service Forecast, 2020-2024

Japan Data Service Forecast, 2020−2024

This survey report defines the Japan data service market as a competitive market and classifies it into four categories: data protection, security and compliance, data integration and orchestration, and data location optimization. It provides a market forecast from 2020 to 2024 based on revenue and market trends in 2018 and 2019.Yasusuke Suzuki, research manager of IDC Japan Enterprise Infrastructure, states, "There are increasingly more examples to show that an active chief data officer contributes to business in Japan. The data service market will expand as digital transformation progresses as a solution to help ensure that data governance and utilization environments are in place more efficiently."

Please Note: Extended description available upon request.

IDC Market Forecast Figure

Executive Summary


Market Forecast

Japan Data Service Market Forecast

Market Context

Drivers and Inhibitors


Increasing Importance of Data Management due to Advances in Digital Transformation

Enhancement of Data Service Functions Utilizing AI

Legal Compliance


Continued Use of Rigid Systems/Inappropriate Legacy Migration

Insufficient Human Resources/Project Drivers And Expert Engineers

Significant Market Developments

Changes from Prior Forecast

Market Definition

Data Services

Data Protection

Backup and Recovery


Replication — Cloud Gateways

Replication — Host or Hypervisor-Based Replication Software

Replication — Database Based

Replication Management Software


Database Archiving and ILM Software

Business Continuity — Availability

Security and Compliance


Role-Based Access Control

Auditing, Logging, and Alerts

Data Loss Prevention

Enterprise Collaboration — Digital Rights Management

Secure Multitenancy

Adherence to Geo/Industry Policy Management

Integration and Orchestration

ETL, Data Quality, and Profiling

Metadata Management

Data Synchronization

Software-Defined Storage

Data Location Optimization

Intelligent Data Placement Using SLA Profiles or Machine Learning

Data Costing and Value Assessment


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