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Japan Big Data Market End-User Survey 2015

Japan Big Data Market End-User Survey 2015

This IDC study summarizes the results IDC's survey on the Big Data technologies/services market conducted in December 2014 among companies/organizations in Japan. The survey covered major topics such as user activity, needs, data leverage objectives, content, and issues related to Big Data.

“Japan users are embracing Big Data technologies but the pace of adoption is slow compared with other 3rd Platform technologies like cloud, mobility, and social platforms, which are penetrating at explosive rates. Awareness about Big Data also does not seem to be growing. One reason is that Big Data technology itself requires scale. Other issues are a shortage of professionals and the inadequacy of existing proposals. To resolve these issues, IDC believes it is necessary that service providers continue to work on both the manpower and service aspects,” says Shintaro Kusachi, market analyst, Software & Security, IDC Japan.

All of the following sections are, however, fully translated:

  • IDC Opinion
  • Methodology
  • Definition of Big Data Technologies/Services Market
  • Executive Summary
  • Essential Guidance
  • Synopsis
Please Note: Extended description available upon request.


IDC Opinion
In This Study
Methodology
Preliminary Survey
Actual Survey
Points to Note
Definition of Big Data Technologies/Services Market
Big Data Technologies, Service Stacks, and Market Segments
Profile of Survey Respondents
Executive Summary
Situation Overview
Future Outlook
Essential Guidance
Learn More
Related Research
Synopsis
Table: Respondent Distribution by Industry
Table: Respondent Distribution by Company Size
Table: Respondent Distribution by Annual Turnover (Unconsolidated)
Table: Respondent Distribution by Department
Table: Awareness of Big Data Technology: by Company Size, Industry, and Department
Table: Big Data Technology Implementation: by Company Size and Industry
Table: Big Data Technology Needs and Importance
Table: Expected Contribution of Big Data Technology to Revenue/Profits: by Major Usage Objective
Table: Types of Data Targeted by Big Data Technology: by Company Size and Industry
Table: Data Volumes Targeted by Big Data Technology: by Company Size
Table: Implementation of Self-Service Data Analyses Tools: by Company Size and Industry
Table: Department Leading Data Usage: by Company Size and Industry
Table: Existence of Full-Time Big Data Teams: by Company Size, Industry, and Usage
Table: Existence of Data Scientists: by Company Size, Industry, and Usage
Table: Outsourcer Used (To Use): by Company Size and Industry
Table: Recalled Solution Providers/Vendors (Assisted Recall): by Stage
Table: Big Data Usage Issues: by Company Size and Industry
Table: Assumed Budgets for Big Data Implementation (Gross): by Company Size and Industry
Figure: IDC’s Definition of the Big Data Technologies/Services Market
Figure: Service Stacks of Big Data Technologies/Services Market
Figure: Awareness of Big Data Technology: Previous and Current Survey Results
Figure: Big Data Technology Implementation: Comparison with Previous Survey Results, by Company Size
Figure: Big Data Technology Needs and Importance
Figure: Inhibitor of Big Data Technology Usage
Figure: Trigger for Big Data Technology Usage
Figure: Big Data Technology Usage Motivator
Figure: Big Data Technology Usage Motivator: Using/Considering
Figure: Objectives of Big Data Technology Usage
Figure: Objectives of Future Big Data Technology Usage: by Industry
Figure: Expected Contribution of Big Data Technology to Revenue/Profits
Figure: Types of Data Targeted by Big Data Technology
Figure: Data Volumes Targeted by Big Data Technology
Figure: Frequency of Big Data Analyses: by Stage
Figure: Analyses of Data Not of Big Data Size
Figure: Implementation of Self-Service Data Analyses Tools
Figure: Department Leading Data Usage
Figure: Existence of Full-Time Big Data Teams
Figure: Existence of Data Scientists
Figure: Inter-Company Big Data Collaboration: by Stage
Figure: Use of Government Open Data: Using/Considering
Figure: Uses of Outsourcers for Big Data Technology
Figure: Recalled Solution Providers/Vendors (Assisted Recall)
Figure: Value of Big Data to Business
Figure: Big Data Usage Issues
Figure: Assumed Budgets for Big Data Implementation: by Budget Size
Figure: Budget Procurement Method: by Stage and Budget Size
Figure: Big Data Systems Implementation Methods
Figure: Points Emphasized when Choosing Vendors/Systems Integrators
Figure: Big Data Processing Infrastructure
Figure: Big Data Analytics Software Implementation
Figure: Issues in Implementing Big Data Processing Systems

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