Big Data Market Verticals and Forecasts: 2016-2030

(IT-NEWSWIRE.COM, September 22, 2017 ) The “Big Data Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2016 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

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Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.

Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for over $46 Billion in 2016 alone. These investments are further expected to grow at a CAGR of 12% over the next four years.

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Some Points from Table of Contents:

Figure 1: Reactive vs. Proactive Analytics 48
Figure 2: Big Data Industry Roadmap 145
Figure 3: The Big Data Value Chain 148
Figure 4: Global Big Data Revenue: 2016 – 2030 ($ Million) 158
Figure 5: Global Big Data Revenue by Submarket: 2016 – 2030 ($ Million) 159
Figure 6: Global Big Data Storage and Compute Infrastructure Submarket Revenue: 2016 – 2030 ($ Million) 160
Figure 7: Global Big Data Networking Infrastructure Submarket Revenue: 2016 – 2030 ($ Million) 161
Figure 8: Global Big Data Hadoop & Infrastructure Software Submarket Revenue: 2016 – 2030 ($ Million) 162
Figure 9: Global Big Data SQL Submarket Revenue: 2016 – 2030 ($ Million) 163
Figure 10: Global Big Data NoSQL Submarket Revenue: 2016 – 2030 ($ Million) 164
Figure 11: Global Big Data Analytic Platforms & Applications Submarket Revenue: 2016 – 2030 ($ Million) 165
Figure 12: Global Big Data Cloud Platforms Submarket Revenue: 2016 – 2030 ($ Million) 166
Figure 13: Global Big Data Professional Services Submarket Revenue: 2016 – 2030 ($ Million) 167
Figure 14: Global Big Data Revenue by Vertical Market: 2016 – 2030 ($ Million) 168
Figure 15: Global Big Data Revenue in the Automotive, Aerospace & Transportation Sector: 2016 – 2030 ($ Million) 169
Figure 16: Global Big Data Revenue in the Banking & Securities Sector: 2016 – 2030 ($ Million) 170
Figure 17: Global Big Data Revenue in the Defense & Intelligence Sector: 2016 – 2030 ($ Million) 171
Figure 18: Global Big Data Revenue in the Education Sector: 2016 – 2030 ($ Million) 172
Figure 19: Global Big Data Revenue in the Healthcare & Pharmaceutical Sector: 2016 – 2030 ($ Million) 173
Figure 20: Global Big Data Revenue in the Smart Cities & Intelligent Buildings Sector: 2016 – 2030 ($ Million) 174
Figure 21: Global Big Data Revenue in the Insurance Sector: 2016 – 2030 ($ Million) 175
Figure 22: Global Big Data Revenue in the Manufacturing & Natural Resources Sector: 2016 – 2030 ($ Million) 176
Figure 23: Global Big Data Revenue in the Media & Entertainment Sector: 2016 – 2030 ($ Million) 177
Figure 24: Global Big Data Revenue in the Public Safety & Homeland Security Sector: 2016 – 2030 ($ Million) 178
Figure 25: Global Big Data Revenue in the Public Services Sector: 2016 – 2030 ($ Million) 179
Figure 26: Global Big Data Revenue in the Retail, Wholesale & Hospitality Sector: 2016 – 2030 ($ Million) 180
Figure 27: Global Big Data Revenue in the Telecommunications Sector: 2016 – 2030 ($ Million) 181
Figure 28: Global Big Data Revenue in the Utilities & Energy Sector: 2016 – 2030 ($ Million) 182
Figure 29: Global Big Data Revenue in Other Vertical Sectors: 2016 – 2030 ($ Million) 183
Figure 30: Big Data Revenue by Region: 2016 – 2030 ($ Million) 184
Figure 31: Asia Pacific Big Data Revenue: 2016 – 2030 ($ Million) 185
Figure 32: Asia Pacific Big Data Revenue by Country: 2016 – 2030 ($ Million) 185
Figure 33: Australia Big Data Revenue: 2016 – 2030 ($ Million) 186
Figure 34: China Big Data Revenue: 2016 – 2030 ($ Million) 186
Figure 35: India Big Data Revenue: 2016 – 2030 ($ Million) 187
Figure 36: Indonesia Big Data Revenue: 2016 – 2030 ($ Million) 187
Figure 37: Japan Big Data Revenue: 2016 – 2030 ($ Million) 188
Figure 38: Malaysia Big Data Revenue: 2016 – 2030 ($ Million) 188
Figure 39: Pakistan Big Data Revenue: 2016 – 2030 ($ Million) 189
Figure 40: Philippines Big Data Revenue: 2016 – 2030 ($ Million) 189
Figure 41: Singapore Big Data Revenue: 2016 – 2030 ($ Million) 190

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Topics Covered
The report covers the following topics:
Big Data ecosystem
Market drivers and barriers
Big Data technology, standardization and regulatory initiatives
Big Data industry roadmap and value chain
Analysis and use cases for 14 vertical markets
Big Data analytics technology and case studies
Big Data vendor market share
Company profiles and strategies of 150 Big Data ecosystem players
Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
Market analysis and forecasts from 2016 till 2030

Orbis Research

Hector Costello

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sales@orbisresearch.com

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Big Data Market Verticals and Forecasts: 2016-2030