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 database 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.
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 market is analyzed from the perspectives of four regions namely North America, Europe, Asia-Pacific and LAMEA.
The commonly observed NoSQL types in the 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 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 market presently.
Geographically, the 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
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 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.
- 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:
- Key-Value Store
- Document Databases
- Column Based Stores
- Graph Database
- Data Storage
- Metadata Store
- Cache Memory
- Distributed Data Depository
- Mobile Apps
- Web Applications
- Data Analytics
- Social Networking
- Online Game Development
- Social Network Development
- Web Applications Management
- North America
- Asia Pacific