Press release
Worldwide Big Data Technology, Market Size, Market Segments and Services Forecast, 2014–2025
big data
Big data refers to utilization of advanced analytics technique such as machine learning, predictive analytics, and data mining to analyze data sets which may be of different types (such as structured/unstructured and streaming/batch) and different size (terabytes to zettabytes).
It allows financial institutions to gain a deeper understanding of suspicious activities, derive patterns, and locate unusual transactions that helps in preventing fraud. In addition, analyzing big data allows analysts, researchers, and business users to make better and faster decisions using data that was earlier inaccessible or unusable.
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Key Point From Table of content of big data market
Executive summary (big data market size gartner)
1.1. Key findings
1.2. Market attractiveness and trend analysis
1.3. Competitive landscape and recent industry development analysis
2. Introduction (big data market size 2016)
2.1. Report description
2.2. Scope and definitions
2.3. Research methodology
3. Market landscape
3.1. Growth drivers (idc big data market size)
3.1.1. Impact analysis
3.2. Restraints and challenges
3.2.1. Impact analysis
3.3. Porter’s analysis
Market Players: (big data analytics market size forrester)
The top players in the global big data market include International Business Machines (IBM) Corporation, Oracle, Microsoft Corporation, Hewlett-Packard Enterprises, SAP SE, Amazon Web Services, SAS Institute, Dell Incorporation, Teradata and Splunk.
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MARKET LANDSCAPE (big data management)
By Component
• Software
• Big data analytics
• Data discovery & visualization
• Data management
• Services
• Consulting & system integration
• Training and support
• Managed services
Based on component, market is segmented into software, big data analytics, data discovery & visualization, data management, services, consulting & system integration, training & support, and managed services. By type, it is divided into structured, semi-structured, and unstructured.
By Type (big data database)
• Structured
• Semi-structured
• Unstructured
By Deployment Model (big data velocity)
• On-Premise
• On-Demand
By Industry Vertical (big data storage)
• Banking, Financial Services, and Insurance (BFSI)
• Government & Defense
• Healthcare & Life Sciences
• Manufacturing
• Retail & Consumer Goods
• Media & Entertainment
• Energy & Utility
• Transportation
• IT & Telecommunication
• Others
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Based on deployment model, it is classified into on-premises and on-demand. Various industries included in the report are banking, financial services, and insurance (BFSI), government & defense, healthcare & life sciences, manufacturing, retail & consumer goods, media & entertainment, energy & utility, transportation, IT & telecommunication, and others.
Geographical breakdown and deep analysis of each of the aforesaid segments is included for North America, Europe, Asia-Pacific, and LAMEA.
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