1. Dark Analytics Market Overview
2. Dark Analytics Market Executive Summary
3. Dark Analytics Market Landscape
3.1. Market Share Analysis
3.2. Comparative Analysis
3.3. Product Benchmarking
3.4. End User Profiling
3.5. Top 5 Financials Analysis
4. Dark Analytics Market Forces
4.4. Porter’s Five Forces Analysis
4.4.1. Bargaining Power of Suppliers
4.4.2. Bargaining Power of Buyers
4.4.3. Threat of New Entrants
4.4.4. Threat of Substitutes
4.4.5. Degree of Competition
5. Dark Analytics Market– Strategic Analysis
5.1. Value Chain Analysis
5.2. Pricing Analysis
5.3. Opportunities Analysis
5.4. Product/Market Life Cycle Analysis
5.5. Suppliers & Distributors
6. Dark Analytics Market– By Analytics Type
7. Dark Analytics Market– By Structure Type
7.4. Deep Web Data
8. Dark Analytics Market– By Dark Data Type
9. Dark Analytics Market– By Deployment Type
9.3. Cloud Based
10. Dark Analytics Market– By End-User
10.2. Retail and E-Commerce
10.6. Travel and Hospitality
11. Dark Analytics Market– By Geography
11.2.5. Rest of Americas
11.3.6. Rest of Europe
11.4.4. South Korea
11.4.6. Rest of Asia-Pacific
12. Dark Analytics Market Entropy
12.2. Technological Developments
12.3. Merger & Acquisitions, and Joint Ventures
12.4. Supply- Contract
13. Company Profiles
13.1. IBM Corporation
13.3. SAP SE
13.6. EMC Corporation
13.7. VMware, Inc.
13.8. Microsoft Corporation
13.9. Apple Inc.
13.10. Amazon Inc.
*More than 10 Companies are profiled in this Research Report*
"*Financials would be provided on a best efforts basis for private companies"
14.3. Research Methodology
14.5. Compilation of Expert Insights
Dark Data is referred to as any kind of information that is generated, collected and stored by a business organization without using it. It is the data which is dormant and inactive, never used again, unmanaged and unknown. Besides Dark Data is considered as the subset of big data constitutes the biggest portion of the total volume of big data collected by organizations in a year. Growing accumulation of structured, un-structured and semi-structured data in organizations through the adoption of Big Data applications resulted in the increased accumulation of Dark Data. According to recent studies which revealed that about 80% of data is dark and un-structured.
Extracting valuable insights from the harnessed dark data which improves huge opportunities for the business growth is driving the dark analytics market. Besides increased applications of Big Data analytics, threats and risks associated with storing dark data are the key factors which resulted in the growth of dark analytics market.
The report dark analytics had been segregated into 5 segments namely: By analytics type, by structure type, by dark data type, by deployment type and by end-user. Regarding analytics type report was segmented into predictive, prescriptive among others. By structure type report was divided into traditional, non-traditional, deep web data. Based on dark data type the report was segregated into enterprise, customer, operational among others. The deployment types discussed in the report includes the on premise and the cloud based deployments. End-users of the market include the retail and E-Commerce, BFSI, government, healthcare among others. Moreover the report had been segregated based on various geographic regions in order to provide intense knowledge about the market.
North America overwhelmed the dark analytics market due to the improved technologies to harness the Dark Data. North America is followed by Europe and APAC as second and third largest markets of Dark Analytics. Besides Asia Pacific region is expected to show significant growth in the dark analytics market during the forecast period owing to emerging start-ups and rise in adoption of analytics in enterprises in this region.
Sample Companies Profiled in this Report are:
- IBM Corporation (U.S.)
- SAP SE (Germany)
- Teradata (U.S)
- HP Development Company, L.P. (U.S)
- Dell Inc. (U.S.)
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