Big data are extremely large data sets that can be computationally analyzed to reveal patterns, trends and associations that relate in particular to human behavior and interactions. Well, a bigdata strategy involves managing just that. A company’s big data strategy involves the approach to storage, analysis, data frames, data model decisions, and a lot – and a lot – of careful planning. According to a 2017 study by New Vantage partners, 37.2% of the companies surveyed have invested more than $ 100 million in a big data strategy in the past five years, and 6.5 percent more than $ 1 billion .
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Some of the key players profiled in the Big Data market include International Business Machines (IBM) Corporation, Oracle Corporation, Microsoft Corporation, Hewlett-Packard Enterprise, SAP SE, Amazon Web Services, SAS Institute, Dell, Inc, Teradata Corporation, Splunk, Palantir Technologies, Inc, Guavus, Inc, Hitachi, Ltd, Cloudera, Inc, Hortonworks, Inc, Google Inc, Accenture plc, Fujitsu (Japan), Datameer, Inc and Actian.
Market Segmentation:
The key market categories studied and assessed by the researchers include product type, application, and end user, which are further described deeply with the sub-segments that impact the market progresses. These categories are elaborated with the information on the leading segment and the potential segment that is expected to register higher share of the Big data market in the near future. The section also offers numbers and facts that support the market growth.
Regionally, the Big data market is segmented as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. Big data market report also highlights on the key countries that demand Big data on a larger scale. In addition to this, experts have thrown light on the unexplored regions for the producers to tap and increase their clients considerably in the near future.
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Competitive Scenario:
The major growth strategies adopted by the Big data market vendors include collaboration, mergers and acquisition, new product development, improvements in the existing technologies, marketing campaigns, and others. Researchers have also included information on company profiles, company information, recent news of the company, developments, and key financial information
Big data can be daunting, and developing a strategy for big data can be just as scary. What every company should be aware of is why. Developing a vision of how your business will be more competitive, profitable, efficient, and customer-centric – and having a roadmap that works will be very helpful when it comes to focusing your big data transformation.
Table of Content :
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Futuristic Market Scenario
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Big Data Market, By Deployment Model
5.1 Introduction
5.2 On-Demand
5.3 On-Premises
6 Global Big Data Market, By Type
6.1 Introduction
6.2 Semi-Structured Data
6.3 Unstructured Data
6.4 Structured Data
7 Global Big Data Market, By Component
7.1 Introduction
7.2 Services
7.2.1 Managed Services
7.2.2 Training and Support
7.2.3 Consulting and System Integration
7.3 Software
7.3.1 Data Management
7.3.2
7.3.3 Big Data Analytics
Continue…..
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