NoSQL 2016 Global Market Share,Growth,Trends & Forecast to 2020
NoSQL Market 2016
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NoSQL (Not Only SQL) is a database mechanism developed for storage, analysis and access of large volume of unstructured data. NoSQL allows schema-less data storage which is not possible with relational database storage. The benefits of using NoSQL database include high scalability, simpler designs and higher availability with more precise control. The ability to comfortably manage big data is another significant reason for the adoption of NoSQL databases. The lack of awareness regarding NoSQL benefits over relational database approaches is a major restraint for the wider adoption of NoSQL technology. Lack of infrastructure to support NoSQL solutions also limits its adoption among enterprises. However, in the next few years, the awareness would increase and NoSQL databases would witness rapid adoption in order to support explosively increased business data, especially, in social networks, retail, e-commerce, etc.
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The market is segmented into types of NoSQL databases, into categories such as document store, key-value stores, graph based databases and column storage. According to applications, the market is classified into data storage, e-Commerce, web applications, social networking, mobile applications and data analytics. The NoSQL databases are found useful in industrial verticals such as retail, gaming, IT and others. Geographically, the market is segmented across North America, Europe, Asia-Pacific and Latin America, Middle East & Africa (LAMEA).
In order to gain competitive insights of the market, leading players are analyzed in the report along with their key business strategies. The report covers an analysis of key vendors such as MongoDB, Cassandra, Couchbase, Neo4j, MarkLogic, Amazon Web Services, Basho Technologies, Aerospike, InfiniteGraph and Hypertable Inc.
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Key Benefits
Competitive advantages of NoSQL features described in the report highlight the market potential in a comprehensive manner
Value chain analysis provides key inputs on the role of all key intermediaries in the market which would better help in devising appropriate strategies
Porter’s five force analysis highlights the potency of suppliers & buyers along with a competitive scenario of the market, which would facilitate efficient business planning
Estimations are made in accordance to the current market scenario and projected future trends for the analysis period of 2014-2020, with base figures of 2013
MARKET SEGMENTATION
The global NoSQL market is segmented on the basis of types, applications, verticals and geographies.
MARKET BY TYPE
Key-value store
Document databases
Column based stores
Graph database
MARKET BY APPLICATION
Data storage
Metadata store
Cache memory
Distributed data depository
E-Commerce
Mobile Apps
Web applications
Data analytics
Social networking
MARKET BY VERTICALS
Retail
Online gaming
IT
Social network development
Web applications management
Others
Government
BFSI
Healthcare
Education
MARKET BY GEOGRAPHY
North America (NA)
Europe (EU)
Asia-Pacific (APAC)
Latin America, Middle-East and Africa (LAMEA)
KEY PLAYERS
MongoDB
Couchbase
Amazon Web Services
Aerospike
Neo4j
InfiniteGraph
Basho Technologies
Hypertable Inc.
Apache Cassandra
MarkLogic
Table Of Contents – Major Key Points
CHAPTER 3 MARKET OVERVIEW
3.1 Market definition and scope
3.2 Key findings
3.2.1 Top impacting factors
3.2.2 Top investment pockets
3.2.3 Top winning strategies
3.3 Porter’s five forces analysis
3.3.1 Threat of new entrants
3.3.2 Bargaining power of suppliers
3.3.3 Bargaining power of buyers
3.3.4 Threat of substitutes
3.3.5 Industry rivalry
3.4 Value chain analysis
3.5 Case studies
3.6 Market dynamics
3.6.1 Drivers
3.6.1.1 Rise in unstructured data
3.6.1.2 Attractive business models
3.6.1.3 Demand for data analytics
3.6.1.4 Growing App development business
3.6.2 Restraints
3.6.2.1 Difficulties while testing of NoSQL applications
3.6.2.2 Problems while adoption in structured data applications
3.6.3 Opportunities
3.6.3.1 Growing Big Data market
3.6.3.2 Partnership in the field of Big Data and NoSQL market
CHAPTER 4 GLOBAL NOSQL MARKET BY DATABASE TYPE
4.1 Key value store
4.1.1 Key market trends
4.1.2 Competitive scenario
4.1.3 Key growth factors & opportunities
4.1.4 Market size and forecast
4.2 Document based store
4.2.1 Key market trends
4.2.2 Competitive scenario
4.2.3 Key growth factors & opportunities
4.2.4 Market size and forecast
4.3 Column based store
4.3.1 Key market trends
4.3.2 Competitive scenario
4.3.3 Key growth factors & opportunities
4.3.4 Market size and forecast
4.4 Graph based
4.4.1 Key market trends
4.4.2 Competitive scenario
4.4.3 Key growth factors & opportunities
4.4.4 Market size and forecast
…….CONTINUED
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