Press release
The Big Data Market: 2017 - 2030 - Opportunities, Challenges, Strategies, Trends, Industry Verticals and 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 $57 Billion in 2017 alone. These investments are further expected to grow at a CAGR of approximately 10% over the next three years.
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The “Big Data Market: 2017 – 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 2017 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.
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
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Table of Contents
1 Chapter 1: Introduction 25
1.1 Executive Summary 25
1.2 Topics Covered 27
1.3 Forecast Segmentation 28
1.4 Key Questions Answered 30
1.5 Key Findings 31
1.6 Methodology 32
1.7 Target Audience 33
1.8 Companies & Organizations Mentioned 34
2 Chapter 2: An Overview of Big Data 39
2.1 What is Big Data? 39
2.2 Key Approaches to Big Data Processing 39
2.2.1 Hadoop 40
2.2.2 NoSQL 42
2.2.3 MPAD (Massively Parallel Analytic Databases) 42
2.2.4 In-Memory Processing 43
2.2.5 Stream Processing Technologies 43
2.2.6 Spark 44
2.2.7 Other Databases & Analytic Technologies 44
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