"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.
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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 nearly $40 Billion in 2015 alone. These investments are further
expected to grow at a CAGR of 14% over the next 5 years.
The “Big Data Market: 2015 – 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 2015 through to 2030.
Historical figures are also presented for 2010, 2011, 2012, 2013 and
2014. The forecasts are further segmented for 8 horizontal submarkets,
15 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.
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 15 vertical markets
* Big Data analytics technology and case studies
* Big Data vendor market share
* Company profiles and strategies of 140 Big Data ecosystem players
* Strategic recommendations for Big Data hardware, software and professional services vendors and enterprises
* Market analysis and forecasts from 2015 till 2030
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Historical Revenue & Forecast Segmentation
Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:
1. Hardware, Software & Professional Services
> Hardware - Software
> Professional Services
2. Horizontal Submarkets
> Storage & Compute Infrastructure
> Networking Infrastructure
> Hadoop & Infrastructure Software
> SQL
> NoSQL
> Analytic Platforms & Applications
> Cloud Platforms
> Professional Services
3. 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
> Public Services
> Retail & Hospitality
> Telecommunications
> Utilities & Energy
> Wholesale Trade
> Others
4. Regional Markets
> Asia Pacific
> Eastern Europe
> Latin & Central America
> Middle East & Africa
> North America
> Western Europe
Key Questions Answered
1. The report provides answers to the following key questions:
2. How big is the Big Data ecosystem?
3. How is the ecosystem evolving by segment and region?
4. What will the market size be in 2020 and at what rate will it grow?
5. What trends, challenges and barriers are influencing its growth?
6. Who are the key Big Data software, hardware and services vendors and what are their strategies?
7. How much are vertical enterprises investing in Big Data?
8. What opportunities exist for Big Data analytics?
9. Which countries and verticals will see the highest percentage of Big Data investments?
Table Of Content
1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Historical Revenue & Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned
2 Chapter 2: An Overview of Big Data
2.1 What is Big Data?
2.2 Key Approaches to Big Data Processing
2.3 Key Characteristics of Big Data
2.4 Market Growth Drivers
2.5 Market Barriers
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3 Chapter 3: Vertical Opportunities & Use Cases for Big Data
3.1 Automotive, Aerospace & Transportation
3.2 Banking & Securities
3.3 Defense & Intelligence
3.4 Education
3.5 Healthcare & Pharmaceutical
3.6 Smart Cities & Intelligent Buildings
3.7 Insurance
3.8 Manufacturing & Natural Resources
3.9 Web, Media & Entertainment
3.10 Public Safety & Homeland Security
4 Chapter 4: Big Data Industry Roadmap & Value Chain
4.1 Big Data Industry Roadmap
4.2 The Big Data Value Chain
5 Chapter 5: Big Data Analytics
5.1 What are Big Data Analytics?
5.2 The Importance of Analytics
5.3 Reactive vs. Proactive Analytics
5.4 Customer vs. Operational Analytics
5.5 Technology & Implementation Approaches
5.6 Vertical Market Case Studies
6 Chapter 6: Standardization & Regulatory Initiatives
6.1 CSCC (Cloud Standards Customer Council) Big Data Working Group
6.2 NIST (National Institute of Standards and Technology) Big Data Working Group
6.3 OASIS Technical Committees
6.4 ODaF (Open Data Foundation)
6.5 Open Data Center Alliance
6.6 CSA (Cloud Security Alliance) Big Data Working Group
6.7 ITU (International Telecommunications Union)
6.8 ISO (International Organization for Standardization) and Others
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