Japan Data Service Forecast, 2022-2025

Japan Data Service Forecast, 2022−2025

In this study, IDC defines the Japan data service market as a competitive market and classifies the market into four categories — data protection, security and compliance, data integration and orchestration, and data location optimization — to predict the market from 2021 to 2025 based on the actual market revenue and market trends in 2020."In addition to the evolution of machine learning (ML) and analytics technologies, the use of digital data has become an essential component of corporate competitiveness as society shifts toward the next normal. The development of data service infrastructures is a necessity to improve the efficiency and security of data operations, and the sophistication of the solutions offered; and the expansion of the market will continue," says Yasusuke Suzuki, research manager, Enterprise Infrastructure, IDC Japan.

Please Note: Extended description available upon request.


IDC Market Forecast Figure
Executive Summary
Advice for Technology Suppliers
Market Forecast
Japan Data Service Market Forecast
Market Context
Drivers and Inhibitors
Drivers
Activation of Digital Data Usage/Penetration of Data-Driven Business Operations
Technological Evolution and Market Maturity in the Data Services Sector
Data Distribution Trend due to Operation in Multiple Clouds and Expansion of Edge Computing
Inhibitors
Lack of Skilled Data Operations Personnel
Unresolved Technical Debt/Increased Burden
Significant Market Developments
Data Protection Market
Security and Compliance Market
Data Integration and Orchestration Market
Data Location Optimization Market
Changes from Prior Forecast
Market Definition
Data Service
Data Protection
Backup and Recovery
Replication
Cloud Gateways: Replication
Replication: Host or Hypervisor-Based Replication Software
Replication: Database-Based
Replication Management Software
Archiving
Database Archiving and ILM Software
Business Continuity: Availability
Security and Compliance
Encryption
Role-Based Access Control
Auditing, Logging, and Alerts
Data Loss Prevention
Enterprise Collaboration — Digital Rights Management
Secure Multitenancy
Adherence to Geo/Industry Policy Management
Data Integration and Orchestration
ETL, Data Quality Software
Metadata Management
Data Synchronization
Software-Defined Storage: SDS Control Software
Data Location Optimization
Intelligent Data Placement Using SLA Profiles or Machine Learning
Data Costing and Value Assessment
Methodology
Related Research

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