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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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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.
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
Historical Revenue & Forecast Segmentation
Market forecasts and historical revenue figures are provided for each of the following submarkets and their subcategories:
• 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
• Public Services
• Retail, Wholesale & Hospitality
• Telecommunications
• Utilities & Energy
• Others
Regional Markets
• Asia Pacific
• Eastern Europe
• Latin & Central America
• Middle East & Africa
• North America
• Western Europe
Country Markets
Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA
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?
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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 pure-play 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.
List of Companies Mentioned
1010data
Accel Partners
Accenture
Actian Corporation
Actuate Corporation
Adaptive Insights
adMarketplace
Adobe
ADP
Advizor Solutions
AeroSpike
AFS Technologies
Alameda County Social Services Agency
AlchemyDB
Aldeasa
Alpine Data Labs
Alteryx
Altiscale
Altosoft
Amazon.com
Ambulance Victoria
AMD
AnalyticsIQ
Antic Entertainment
Antivia
AOL
Apple
Continue…..
Table Of Contents – Major Key Points
1 Chapter 1: Introduction 21
1.1 Executive Summary 21
1.2 Topics Covered 23
1.3 Historical Revenue & Forecast Segmentation 24
1.4 Key Questions Answered 26
1.5 Key Findings 27
1.6 Methodology 28
1.7 Target Audience 29
1.8 Companies & Organizations Mentioned 30
2 Chapter 2: An Overview of Big Data 34
2.1 What is Big Data? 34
2.2 Key Approaches to Big Data Processing 34
2.2.1 Hadoop 35
2.2.2 NoSQL 36
2.2.3 MPAD (Massively Parallel Analytic Databases) 36
2.2.4 In-memory Processing 37
2.2.5 Stream Processing Technologies 37
2.2.6 Spark 38
2.2.7 Other Databases & Analytic Technologies 38
2.3 Key Characteristics of Big Data 39
2.3.1 Volume 39
2.3.2 Velocity 39
2.3.3 Variety 39
2.3.4 Value 40
2.4 Market Growth Drivers 41
2.4.1 Awareness of Benefits 41
2.4.2 Maturation of Big Data Platforms 41
2.4.3 Continued Investments by Web Giants, Governments & Enterprises 42
2.4.4 Growth of Data Volume, Velocity & Variety 42
2.4.5 Vendor Commitments & Partnerships 42
2.4.6 Technology Trends Lowering Entry Barriers 43
2.5 Market Barriers 43
2.5.1 Lack of Analytic Specialists 43
2.5.2 Uncertain Big Data Strategies 43
2.5.3 Organizational Resistance to Big Data Adoption 44
2.5.4 Technical Challenges: Scalability & Maintenance 44
2.5.5 Security & Privacy Concerns 44
……..CONTINUED
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