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NoSQL Market by Type (Key-Value Store, Document Databases, Column Based Stores and Graph Database) and Application (Data Storage, Metadata Store, Cache Memory, Distributed Data Depository, e-Commerce, Mobile Apps, Web Applications, Data Analytics and Social Networking) - Global Opportunity Analysis and Industry Forecast, 2013 - 2020

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Pages: 100
Apr 2015 | 8665 Views
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Author's : lita Person
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NoSQL Market Overview:

NoSQL Market is expected to garner 4.2 billion by 2020, registering a CAGR of 35.1% during the forecast period 2014-2020. The NoSQL Market (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 problems while testing and managing complex queries as compared to relational database approaches is a major restraint for the wider adoption of NoSQL technology. Problems while supporting complex queries also limits its adoption among enterprises. However, in the next few years, the awareness among end users would increase and the NoSQL market share would rise rapidly owing to growing adoption of advanced database solutions to support explosively increased business data, especially, in social networks, retail, e-commerce, etc.

The Not only SQL (NoSQL) technology is emerging in the database market horizon and would grow rapidly over the next few years. This technology, ideally, is not a substitute for conventional RDBMS products such as Oracle SQL, Microsoft Access, etc. However, it helps to overcome limitations observed in conventional RDBMS technologies. The present RDBMS technologies are not capable of supporting unstructured data with optimum space requirement. The design becomes complex and is hence difficult for developers. The need for unstructured data management is hence difficult with conventional RDBMS solutions. Furthermore, RDBMS proves to be a costly solution for developing agile web applications with moderate data analytics requirements. NoSQL is emerging as an efficient alternative in this scenario, which helps to bridge the problems associated with RDBMS technology. The adoption of NoSQL would rise significantly in accordance to its application segments.

NoSQL Market

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The report covers the study of NoSQL market along with its types, applications and verticals. The research involves a study of NoSQL software, which includes revenue realized from the sale of commercial licenses as well as revenues realized from the upgrade charges of open source NoSQL solutions. The NoSQL market is studied in accordance to the four types, key-value store, document databases, column based stores and graph based stores. Applications of the NoSQL considered in the report are data storage, data analytics, e-commerce, web applications, social networks and mobile app development. The report analyzes the usage of NoSQL amongst verticals such as retail, IT and others. The IT vertical covers the usage of NoSQL in social network development and web application management. The other category of verticals include government, BFSI, education and healthcare. In order to understand the regional trends, the NoSQL market is analyzed from the perspectives of four regions namely North America, Europe, Asia-Pacific and LAMEA.

Segment Overview:

The commonly observed types in the NoSQL market are key value stores, document databases, column based NoSQL stores and graph based NoSQL stores. Amongst these, key value store NoSQL databases, account for a larger market size by value due to the increasing demands from web and e-commerce applications.

The NoSQL market is analyzed in accordance to its application segments such as data storage, e-Commerce, mobile app development, data analytics, web applications and social network management. Web applications currently drive the NoSQL market due to high usage in session management, user profile recording, etc.

NoSQLs are used among different industry verticals. The different verticals analyzed in the report are retail, online game development, IT and others. Its usage in IT involves social network development and web application management. The other verticals include government, BFSI, healthcare and education. Among all verticals, IT applications account for a larger share of NoSQL market presently.

Geographically, the NoSQL market is segmented across North America, Europe, Asia-Pacific and LAMEA. North America was the highest revenue-generating segment in the year 2013. The larger adoption of NoSQL systems is largely attributed to the growth of web applications and e-commerce in the North American region.

Top Factors Impacting Global NoSQL Market

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Top Factors Impacting Global NoSQL Market

Demand for data analytics: The analysis of data generated in numerous processes, highlights key business insights. In order to analyze the data, appropriate database technology is essential. NoSQL serves this purpose in case of unstructured data, by providing support for moderate data analytics. The need of data analytics, especially on unstructured data would further increase in future.

Increasing semi-structured and unstructured data: As a result of changed business needs and users’ preferences, the amount of unstructured and semi-structured data is increasing rapidly. The rise in social media such as games, blogs, portals such as Facebook, LinkedIn, matrimonial sites, etc. have led to rise in semi-structured and unstructured data. In order to store and manage this data, NoSQL is the only feasible technology. The impact of this factor would further increase in future, due to rise in structured and/or unstructured data from applications such as social media, retail transactions, web applications, etc.

Increasing Big Data market: The Big Data market is rising rapidly since the past few years. The conventional database technology, RDBMS is not suitable for storage and analysis of Big Data volumes. However, Hadoop and NoSQL solutions have emerged as the most appropriate technologies for Big Data management. The impact of the Big Data market would boost the adoption of NoSQL.

App development economy: The mobile and web App development business is rising globally especially in the Asian region. NoSQL is most suitable technology for agile app development. With rise in the app development economy, NoSQL adoption is set for an increase.

Innovative business models: Most of the NoSQL database developers offer their solutions free of cost and charge the user for additional capacity or renewal of usage period. This factor is proving to be a significant driver of NoSQL market. However, over the period the impact of this business model will diminish.

Limited NoSQL applications: NoSQL supports moderate level analytics on stored data records. Enterprises need to perform complex real-time transactions on stored data, which is supported by the RDBMS database platform. This limits the usage of NoSQL for critical business analysis. In future, the impact of this factor during NoSQL adoption would remain at a similar level.

Issues while testing: Due to unstructured format, NoSQL databases are difficult to test. This factor limits its adoption in several critical applications. Even in future, NoSQL would not be ideal solution for critical applications. However, the testing issues would reduce with improving software practices.

Effect of partnerships: Presently, the NoSQL market experiences a number of partnerships/ agreements/ joint ventures amongst various stakeholders of the NoSQL industry. The recent partnership strategies promote the rise in adoption of NoSQL databases. However, by 2020, the impact of partnership on NoSQL adoption would slightly reduce.

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 NoSQL market size, NoSQL market share & scenario and projected future trends for the analysis period of 2014-2020, with base figures of 2013

NoSQL Market Key Segments:

The global NoSQL market for is segmented as:

By Type

  • Key-Value Store
  • Document Databases
  • Column Based Stores
  • Graph Database

By Application

  • Data Storage
  • Metadata Store
  • Cache Memory
  • Distributed Data Depository
  • e-Commerce
  • Mobile Apps
  • Web Applications
  • Data Analytics
  • Social Networking

By Vertical

  • Retail
  • Online Game Development
  • IT
  • Social Network Development
  • Web Applications Management
  • Others
  • Government
  • BFSI
  • Healthcare
  • Education

By Geography

  • North America
  • Europe
  • Asia Pacific
  • LAMEA
 

Chapter: 1 INTRODUCTION

1.1 Report Description
1.2 Key market segments
1.3 Key benefits
1.4 Research methodology

1.4.1 Secondary research
1.4.2 Primary research
1.4.3 Analyst tools and models

Chapter: 2 EXECUTIVE SUMMARY

2.1 CXO perspectives
2.2 Market beyond: What to expect by 2025

2.2.1 Base case scenario
2.2.2 Optimistic case scenario
2.2.3 Critical case scenario

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

Chapter: 5 GLOBAL NOSQL MARKET BY APPLICATIONS

5.1 Data storage

5.1.1.1 Distributed data depository
5.1.1.2 Cache memory
5.1.1.3 Metadata store

5.1.2 Market size and forecast

5.2 E-commerce

5.2.1 Market size and forecast

5.3 Mobile Apps

5.3.1 Market size and forecast

5.4 Data analytics (or aggregation)

5.4.1 Market size and forecast

5.5 Web applications

5.5.1.1 Session store
5.5.1.2 Ad targeting
5.5.1.3 User profile management

5.5.2 Market size and forecast

5.6 Social networking

5.6.1.1 Social games

5.6.2 Market size and forecast

Chapter: 6 GLOBAL NOSQL MARKET BY VERTICALS

6.1 Retail

6.1.1 Market size and forecast

6.2 Online Gaming

6.2.1 Market size and forecast

6.3 IT

6.3.1 Social network management
6.3.2 Web applications management
6.3.3 Market size and forecast

6.4 Others

6.4.1 Government
6.4.2 BFSI
6.4.3 Healthcare
6.4.4 Education
6.4.5 Market size and forecast

Chapter: 7 GLOBAL NOSQL MARKET

7.1 North America

7.1.1 Key market trends
7.1.2 Competitive scenario
7.1.3 Key growth factors and opportunities
7.1.4 Market size and forecast

7.2 Europe

7.2.1 Key market trends
7.2.2 Competitive scenario
7.2.3 Key growth factors and opportunities
7.2.4 Market size and forecast

7.3 Asia-Pacific

7.3.1 Key market trends
7.3.2 Competitive scenario
7.3.3 Key growth factors and opportunities
7.3.4 Market size and forecast

7.4 Latin America, Middle East and Africa (LAMEA)

7.4.1 Key market trends
7.4.2 Competitive scenario
7.4.3 Key growth factors and opportunities
7.4.4 Market size and forecast

Chapter: 8 COMPANY PROFILES

8.1 MongoDB Inc.

8.1.1 Company overview
8.1.2 Company snapshot
8.1.3 Key strategies and developments
8.1.4 SWOT analysis of MongoDB

8.2 Couchbase

8.2.1 Company overview
8.2.2 Company snapshot
8.2.3 Key strategies and developments
8.2.4 SWOT analysis of Couchbase

8.3 Amazon Web Services

8.3.1 Company overview:
8.3.2 Company snapshot
8.3.3 Business performance
8.3.4 Key strategies and developments
8.3.5 SWOT analysis of Amazon Web Services

8.4 Aerospike

8.4.1 Company overview
8.4.2 Company snapshot
8.4.3 Key strategies and developments
8.4.4 SWOT analysis of Aerospike

8.5 Neo Technology Inc.

8.5.1 Company overview
8.5.2 Company snapshot
8.5.3 Key strategies and developments
8.5.4 SWOT analysis of Neo Technologies

8.6 Objectivity Inc.

8.6.1 Company overview
8.6.2 Company snapshot
8.6.3 Key strategies and developments
8.6.4 SWOT analysis of InfiniteGraph

8.7 Basho Technologies

8.7.1 Company overview
8.7.2 Company snapshot
8.7.3 Key strategies and developments
8.7.4 SWOT analysis of Basho Technologies

8.8 Apache- Cassandra

8.8.1 Company overview
8.8.2 Company snapshot
8.8.3 Key strategies and developments
8.8.4 SWOT analysis of Apache Cassandra

8.9 Hypertable Inc.

8.9.1 Company overview
8.9.2 Company snapshot
8.9.3 Key strategies and developments
8.9.4 SWOT analysis of Hypertable

8.10 MarkLogic

8.10.1 Company overview
8.10.2 Company snapshot
8.10.3 Key strategies and developments
8.10.4 SWOT analysis of MarkLogic

LIST OF TABLES

TABLE 1  NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($MILLION)
TABLE 2  NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 3  NOSQL BASE CASE SCENARIO MARKET BY GEOGRAPHY, 2020-2025 ($ MILLION)
TABLE 4  NOSQL OPTIMISTIC CASE SCENARIO MARKET BY GEOGRAPHY, 2020-2025 ($ MILLION)
TABLE 5  NOSQL CRITICAL CASE SCENARIO MARKET BY GEOGRAPHY, 2020-2025 ($ MILLION)
TABLE 6  GLOBAL NOSQL MARKET BY TYPE, 2013 - 2020 ($ MILLION)
TABLE 7  GLOBAL KEY VALUE STORE NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($MILLION)
TABLE 8  GLOBAL DOCUMENT STORE NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($MILLION)
TABLE 9  GLOBAL COLUMN BASED NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($MILLION)
TABLE 10  GLOBAL GRAPH BASED NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($MILLION)
TABLE 11  GLOBAL NOSQL MARKET BY APPLICATIONS BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 12  GLOBAL DATA STORAGE NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 13  GLOBAL E-COMMERCE NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 14  GLOBAL MOBILE NOSQL APPLICATIONS MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 15  GLOBAL DATA ANALYTICS NOSQL MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 16  GLOBAL NOSQL WEB APPLICATIONS MARKET BY GEOGRAPHY 2013 - 2020 ($ MILLION)
TABLE 17  GLOBAL SOCIAL NETWORKING NOSQL APPLICATIONS MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 18  GLOBAL NOSQL MARKET BY VERTICALS, 2013 - 2020 ($ MILLION)
TABLE 19  GLOBAL NOSQL RETAIL USE MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 20  GLOBAL NOSQL ONLINE GAME DEVELOPMENT USE MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 21  GLOBAL NOSQL IT USE MARKET BY VERTICALS, 2013 - 2020 ($ MILLION)
TABLE 22  GLOBAL NOSQL IT USE MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 23  GLOBAL NOSQL OTHER VERTICAL USES MARKET BY GEOGRAPHY, 2013 - 2020 ($ MILLION)
TABLE 24  NORTH AMERICAN NOSQL MARKET BY APPLICATIONS, 2013 - 2020 ($ MILLION)
TABLE 25  EUROPEAN NOSQL MARKET BY APPLICATIONS, 2013 - 2020 ($ MILLION)
TABLE 26  ASIA-PACIFIC NOSQL MARKET BY APPLICATIONS, 2013 - 2020 ($ MILLION)
TABLE 27  LAMEA NOSQL MARKET BY APPLICATIONS, 2013 - 2020 ($ MILLION)
TABLE 28  MONGODB SNAPSHOT
TABLE 29  COUCHBASE SNAPSHOT
TABLE 30  AMAZON WEB SERVICES SNAPSHOT
TABLE 31  AEROSPIKE SNAPSHOT
TABLE 32  NEO TECHNOLOGIES SNAPSHOT
TABLE 33  INFINITEGRAPH SNAPSHOT
TABLE 34  BASHO TECHNOLOGIES SNAPSHOT
TABLE 35  APACHE SNAPSHOT
TABLE 36  HYPERTABLE SNAPSHOT
TABLE 37  MARKLOGIC SNAPSHOT

LIST OF FIGURES

FIG. 1  TOP IMPACTING FACTORS, BASE CASE (2020 - 2025)
FIG. 2  TOP IMPACTING FACTORS, OPTIMISTIC CASE (2020 - 2025)
FIG. 3  TOP IMPACTING FACTORS, CRITICAL CASE (2020 - 2025)
FIG. 4  TOP IMPACTING FACTORS
FIG. 5  TOP INVESTMENT POCKETS OF NOSQL MARKET
FIG. 6  TOP WINNING STRATEGIES IN NOSQL MARKET
FIG. 7  TOP WINNING STRATEGIES IN NOSQL MARKET BY LEADING PLAYERS
FIG. 8   PORTER’S MODEL OF NOSQL MARKET
FIG. 9  VALUE CHAIN MODEL OF NOSQL MARKET
FIG. 10  RISING DATA VOLUMES
FIG. 11  EXAMPLE OF KEY-VALUE PAIR
FIG. 12  EXAMPLE OF DOCUMENT DATABASE
FIG. 13  EXAMPLE OF COLUMN STORE DATABASE
FIG. 14  EXAMPLE OF GRAPH DATABASE
FIG. 15  SWOT ANALYSIS OF MONGODB
FIG. 16  SWOT ANALYSIS OF COUCHBASE
FIG. 17  REVENUE BY PRODUCTS AND SERVICES
FIG. 18  REVENUE BY GEOGRAPHY ($ MILLION)
FIG. 19  SWOT ANALYSIS OF AMAZON WEB SERVICES
FIG. 20  SWOT ANALYSIS OF AEROSPIKE
FIG. 21  SWOT ANALYSIS OF NEO TECHNOLOGIES
FIG. 22  SWOT ANALYSIS OF INFINITEGRAPH
FIG. 23  SWOT ANALYSIS OF BASHO TECHNOLOGIES
FIG. 24  SWOT ANALYSIS OF APACHE
FIG. 25  SWOT ANALYSIS OF HYPERTABLE
FIG. 26  SWOT ANALYSIS OF MARKLOGIC 

 

The global NoSQL market is witnessing significant growth and is projected to rise in the coming years. This growth is supplemented by the need for increasing demand from web applications for session management, user profile management, etc. Furthermore, the emergence of e-Commerce is expected to drive the adoption of NoSQL to a higher extent. NoSQL would emerge as the most preferred technology for implementing various mobile applications and social networks due to its schema-less design. Wider adoption in the North American region would be observed through the analysis period. The Asia-Pacific market would continue to grow at a rapid pace during the forecast period.  Rising app development processes along with the developments in online/ digital gaming, across this region would contribute to a higher adoption of NoSQL in the region.

The key-value store NoSQL databases would continue to hold dominance in the market. The simpler design, ability to support web applications along with the growth of e-commerce activities would supplement the demand of key-value store NoSQL databases. However, graph based NoSQL databases are gaining rapid adoption due to their compatibility in social network and online game development. The companies in the market are bringing novel NoSQL designs in order to cater to the buyers’ demands.

 

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