The Big Data Market 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts

“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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The “Big Data  Market: 2016 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an indepth 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.

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

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Hardware, Software & Professional Services
 Hardware
 Software
 Professional Services
Horizontal Submarkets
 Storage & Compute Infrastructure
 Networking Infrastructure
 Hadoop & Infrastructure Software
 SQL
 NoSQL

 Analytic Platforms & Applications
 Cloud Platforms
 Professional Services
Vertical Submarkets
 Automotive, Aerospace & Transportation
 Banking & Securities
 Defense & Intelligence
 Education
 Healthcare & Pharmaceutical
Smart Cities & Intelligent Buildings
 Insurance

 Manufacturing & Natural Resources
 Web, Media & Entertainment
 Public Safety & Homeland Security

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Key Questions Answered

The report provides answers to the following key questions:

 How big is the Big Data  ecosystem?

 How is the ecosystem evolving by segment and region?

 What will the market size be in 2020 and at what rate will it grow?

 What trends, challenges and barriers are influencing its growth?

 Who are the key Big Data  software, hardware and services vendors and what are their strategies?

 How much are vertical enterprises investing in Big Data ?

 What opportunities exist for Big Data  analytics?

 Which countries and verticals will see the highest percentage of Big Data  investments?

Key Findings

The report has the following key findings:

 In 2016, Big Data  vendors will pocket over $46 Billion from hardware, software and professional services revenues.

 Big Data  investments are further expected to grow at a CAGR of 12% over the next four years, eventually accounting for over $72 Billion by the end of 2020.

 The market is ripe for acquisitions of pureplay Big Data  startups, as competition heats up between IT incumbents.

 Nearly every large scale IT vendor maintains a Big Data  portfolio.

 At present, the market is largely dominated by hardware sales and professional services in terms of revenue.

 Going forward, software vendors, particularly those in the Big Data  analytics segment, are expected to significantly increase their stake in the Big Data  market.

 By the end of 2020, SNS Research expects Big Data  software revenue to exceed hardware investments by over $7 Billion.

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