target audience: TECH SUPPLIER Publication date: Jun 2023 - Document type: Market Forecast - Doc Document number: # JPE50537723
Japan Data Platform, Logistics, and Operations Forecast, 2023–2027
Content
List of Tables
List of Figures
Related Links
Table of Contents
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IDC Market Forecast Figure
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Figure: Japan Data Platform, Logistics, and Operations Revenue Snapshot
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Executive Summary
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Advice for Technology Suppliers
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For Marketing Strategy Planners
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For Sales Strategy Planners (Sales Managers)
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For Product Strategy Planners (Development Managers)
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Market Forecast
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Predicting Impacts from AI Technological Evolution
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Data Management System
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Data Security
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Data Protection, Disaster Preparedness
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Other Data Operations Management
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Entire Data Platform
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Table: Japan Data Platform, Logistics, and Operations Market Revenue by Segment, 2020–2027
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Figure: Japan Data Platform, Logistics, and Operations Market Revenue by Segment, 2022 versus 2027
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Market Context
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Drivers and Inhibitors
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Drivers
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Use of Digital Data and Advancement of Data-Driven Business Operations (Demand Side)
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Technological Evolution in Data Utilization and Operation and Market Revitalization (Supply Side)
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Cloud Shift of Data Operation Environment
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Inhibitors
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Lack of Human Resources Skilled in Promoting Data Utilization and Data Operation Transformation Projects
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Incomplete Handling of Technological Liability and Some User Companies Downplaying the Need for Change
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Significant Market Developments
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Changes from Prior Forecast
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Market definition
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Data Platform, Logistics, and Operations Solutions
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Figure: Scope of the Data Platform, Logistics and Operations Market Study
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Data Protection
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Data Security
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Encryption, Data Masking, Tokenization
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Privacy-Enhancing Technologies/Privacy Tech
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Access Control
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Auditing, Logging, and Alerts
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Data Loss Prevention
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Digital Rights Management
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Data Authentication/Data Authenticity Assurance
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Data Management Systems
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Database Management Systems
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Database Development and Management Tools
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Data Integration and Intelligence
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Other Data Operation Management (Other Data Operation)
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Supervision of Data Locations based on Policies and Data Migration
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Predictive Analytics for Data Storage Costs and Accountability for Data Operational Cost
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Data Operation Automation
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Methodology
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Related Research