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| A00519 | Pages: 266 | Apr 2020 | 31869 Views | | |
| Author(s) : Sneha Korad , Makarand Sinnarkar , Vineet kumar | Tables: 108 | Charts: 64 |
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Pandemic disrupted the entire world and affected many industries.
Get detailed COVID-19 impact analysis on the Nosql Market
Request Now !The NoSQL market size was valued at $2,410.5 million in 2018, and is projected to reach $22,087 million by 2026, growing at a CAGR of 31.4% from 2019 to 2026.
A NoSQL is a database that includes a relational mechanism for storage and retrieval of structured and unstructured data, which is modeled in means other than the tabular relations as used in relation databases (RDBMS). It encompasses a wide variety of database technologies that are developed to handle increase in volume of data generated and stored. This data has increased from the recent past due to Internet of Things, internet, and others. As the data sources are varied, NoSQL is widely preferred by distributed data stores with hugedata storage needs.
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Factors such as rise in demand from numerous applications such as e-commerce, web applications, and social game development are anticipated to boost the growth of NoSQL market forecast.The research involves a study of NoSQL software, which includes revenue realized from the sale of commercial licenses as well as revenue realized from the upgrade charges of open source NoSQL solutions. The problems while testing and managing complex queries as compared to relational database approaches is a major restraint for wider adoption of NoSQL technology. However, in the next few years, the awareness would increase, and NoSQL databases would witness rapid adoption to support increased business data, especially, in social networks, retail, and e-commerce.
The graph-store databases are gaining increase in traction from social networking and online gaming applications. Therefore, graph-based NoSQL databases are poised to grow at the highest CAGR amongst all types of NoSQL. The companies, especially from the social networking segment is expected to gain impressive business value from investments in this type of NoSQL segment which in turn is expected to support NoSQL market growth.
NoSQL database technology has gained traction in the North American NoSQL market. The large number of enterprises in the regions have started adopting NoSQL in some non-critical applications. However, larger number of enterprises are planning to adopt NoSQL technology in the coming years. Moreover, growth of social networking applications and developments in online gaming are expected to accelerate the demand for NoSQL across the world, especially in the Asian countries.
The report focuses on the growth prospects, restraints, and market analysis. The study provides Porter’s five forces analysis of the NoSQL industry to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the market.
The NoSQL market is segmented on the basis of type, application, industry vertical, and region. By type, it is categorized into key-value store, document database, column-based store, and graph database. On the basis of application, it is divided into data storage, mobile apps, data analytics, web apps, and others. Further the data storage segment is sub-segmented into distributed data depository, cache memory, and metadata store. Depending on industry vertical, it is categorized into retail, gaming, IT, and others. By region, the NoSQL market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the NoSQL market analysis include Aerospike, Inc., Amazon Web Services, Inc., DataStax, Inc., Microsoft Corporation, Couchbase, Inc., Google LLC, MarkLogic Corporation, MongoDB, Inc., Neo Technology, Inc., and Objectivity, Inc.
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The significant factors impacting the global NoSQL market include the demand for data analytics, increase in unstructured data, and rise in demand for data analytics. Along with these factors, the market is also dependent on the app development industry, innovative business models, and software testing issues over its technological alternatives. All the factors collectively create opportunities for market growth, while some of them account for limitations in the market. Thus, testing limitations while using NoSQL for critical business analysis is a factor expected to hinder the market growth. However, each factor would have a definite impact on the market. Therefore, rise adoption of big data is a NoSQL market opportunistic factor.
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There has been an increase in amount of unstructured and semi-structured data such as blogs, files, and gamesover the past few years. This semi-structured or unstructured data is in the form of objects of data structures. Standard SQL queries are not a feasible option to analyze object oriented data structures.Moreover, as a result of changed business needs and users’ preferences, there is an increase in the amount of unstructured and semi-structured data. The rise in social media such as games, blogs, and portals such as Facebook, LinkedIn, matrimonial sites have led to rise in semi-structured and unstructured data. NoSQL is the only feasible technology to store and manage this data.
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Businesses across the globe are inclined toward analytical solutions, owing to the ability to provide decision optimization on the basis of data-driven approaches. In addition, rise in need to automate business processes, owing to advent of digitalization is further expected to propel the growth of the market, as analytics offer automated business process optimization strategies that have the capability to predict and optimize diverse business process outcomes. These factors are expected to drive the growth of the global market during the forecast period. Appropriate database technology is essentialto analyze the data. 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 is expected to increase in the future.
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Key Market Segments
By Type
By Application
By Industry vertical
By Region
Key Market Players
CHAPTER 1:INTRODUCTION
1.1.REPORT DESCRIPTION
1.2.KEY BENEFITS FOR STAKEHOLDERS
1.3.KEY MARKET SEGMENTS
1.4.KEY MARKET PLAYERS
1.5.RESEARCH METHODOLOGY
1.5.1.Secondary research
1.5.2.Primary research
1.5.3.Analyst tools & models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.KEY FINDINGS
2.1.1.Top impacting factors
2.1.2.Top investment pockets
2.2.CXO PERSPECTIVE
CHAPTER 3:MARKET OVERVIEW
3.1.MARKET DEFINITION AND SCOPE
3.2.KEY FORCES SHAPING THE GLOBAL NOSQL MARKET
3.3.VALUE CHAIN ANALYSIS
3.3.1.Data Input Platform
3.3.2.Data Processing
3.3.3.Applications
3.4.MARKET DYNAMICS
3.4.1.Drivers
3.4.1.1.Rise in unstructured data
3.4.1.2.Rise in demand for data analytics
3.4.1.3.Increase in application development business across the globe
3.4.2.Restraints
3.4.2.1.Complexities associated with testing NoSQL applications
3.4.3.Opportunities
3.4.3.1.Growth in big data
3.5.IMPACT OF GOVERNMENT REGULATIONS ON THE GLOBAL NOSQL MARKET
CHAPTER 4:GLOBAL NOSQL MARKET, BY TYPE
4.1.OVERVIEW
4.2.KEY-VALUE STORE
4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country
4.3.DOCUMENT DATABASES
4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country
4.4.COLUMN BASED STORES
4.4.1.Key market trends, growth factors, and opportunities
4.4.2.Market size and forecast, by region
4.4.3.Market analysis, by country
4.5.GRAPH DATABASE
4.5.1.Key market trends, growth factors, and opportunities
4.5.2.Market size and forecast, by region
4.5.3.Market analysis, by country
CHAPTER 5:GLOBAL NOSQL MARKET, BY APPLICATION
5.1.OVERVIEW
5.2.DATA STORAGE
5.2.1.Distributed Data Depository
5.2.2.Cache Memory
5.2.3.Metadata Store
5.2.4.Key market trends, growth factors, and opportunities
5.2.5.Market size and forecast, by region
5.2.6.Market analysis, by country
5.3.MOBILE APPS
5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country
5.4.WEB APPS
5.4.1.Session store
5.4.2.Ad targeting
5.4.3.User profile management
5.4.4.Key market trends, growth factors, and opportunities
5.4.5.Market size and forecast, by region
5.4.6.Market analysis, by country
5.5.DATA ANALYTICS
5.5.1.Key market trends, growth factors, and opportunities
5.5.2.Market size and forecast, by region
5.5.3.Market analysis, by country
5.6.OTHERS
5.6.1.Key market trends, growth factors, and opportunities
5.6.2.Market size and forecast, by region
5.6.3.Market analysis, by country
CHAPTER 6:GLOBAL NOSQL MARKET, BY INDUSTRY VERTICAL
6.1.OVERVIEW
6.2.RETAIL
6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country
6.3.GAMING
6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country
6.4.IT
6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Social Network Management
6.4.3.Web Applications Management
6.4.4.Market size and forecast, by region
6.4.5.Market analysis, by country
6.5.OTHERS
6.5.1.Key market trends, growth factors, and opportunities
6.5.2.Government
6.5.3.BFSI
6.5.4.Healthcare
6.5.5.Education
6.5.6.Market size and forecast, by region
6.5.7.Market analysis, by country
CHAPTER 7:GLOBAL NOSQL MARKET, BY REGION
7.1.OVERVIEW
7.1.1.Market size and forecast, by region
7.2.NORTH AMERICA
7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by type
7.2.3.Market size and forecast, by application
7.2.4.Market size and forecast, by industry vertical
7.2.5.Market analysis, by country
7.2.5.1.U.S.
7.2.5.1.1.Market size and forecast, by type
7.2.5.1.2.Market size and forecast, by application
7.2.5.1.3.Market size and forecast, by industry vertical
7.2.5.2.Canada
7.2.5.2.1.Market size and forecast, by type
7.2.5.2.2.Market size and forecast, by application
7.2.5.2.3.Market size and forecast, by industry vertical
7.3.EUROPE
7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by type
7.3.3.Market size and forecast, by application
7.3.4.Market size and forecast, by industry vertical
7.3.5.Market analysis, by country
7.3.5.1.Germany
7.3.5.1.1.Market size and forecast, by type
7.3.5.1.2.Market size and forecast, by application
7.3.5.1.3.Market size and forecast, by industry vertical
7.3.5.2.UK
7.3.5.2.1.Market size and forecast, by type
7.3.5.2.2.Market size and forecast, by application
7.3.5.2.3.Market size and forecast, by industry vertical
7.3.5.3.France
7.3.5.3.1.Market size and forecast, by type
7.3.5.3.2.Market size and forecast, by application
7.3.5.3.3.Market size and forecast, by industry vertical
7.3.5.4.Rest of Europe
7.3.5.4.1.Market size and forecast, by type
7.3.5.4.2.Market size and forecast, by application
7.3.5.4.3.Market size and forecast, by industry vertical
7.4.ASIA-PACIFIC
7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by type
7.4.3.Market size and forecast, by application
7.4.4.Market size and forecast, by industry vertical
7.4.5.Market analysis, by country
7.4.5.1.Japan
7.4.5.1.1.Market size and forecast, by type
7.4.5.1.2.Market size and forecast, by application
7.4.5.1.3.Market size and forecast, by industry vertical
7.4.5.2.China
7.4.5.2.1.Market size and forecast, by type
7.4.5.2.2.Market size and forecast, by application
7.4.5.2.3.Market size and forecast, by industry vertical
7.4.5.3.India
7.4.5.3.1.Market size and forecast, by type
7.4.5.3.2.Market size and forecast, by application
7.4.5.3.3.Market size and forecast, by industry vertical
7.4.5.4.Rest of Asia-Pacific
7.4.5.4.1.Market size and forecast, by type
7.4.5.4.2.Market size and forecast, by application
7.4.5.4.3.Market size and forecast, by industry vertical
7.5.LAMEA
7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by type
7.5.3.Market size and forecast, by application
7.5.4.Market size and forecast, by industry vertical
7.5.5.Market analysis, by country
7.5.5.1.Latin America
7.5.5.1.1.Market size and forecast, by type
7.5.5.1.2.Market size and forecast, by application
7.5.5.1.3.Market size and forecast, by industry vertical
7.5.5.2.Middle East
7.5.5.2.1.Market size and forecast, by type
7.5.5.2.2.Market size and forecast, by application
7.5.5.2.3.Market size and forecast, by industry vertical
7.5.5.3.Africa
7.5.5.3.1.Market size and forecast, by type
7.5.5.3.2.Market size and forecast, by application
7.5.5.3.3.Market size and forecast, by industry vertical
CHAPTER 8:COMPETITIVE LANDSCAPE
8.1.KEY PLAYERS POSITIONING ANALYSIS, 2018
8.2.TOP WINNING STRATEGIES
8.3.COMPETITIVE DASHBOARD
8.4.KEY DEVELOPMENTS
8.4.1.Product launches
8.4.2.Partnership
8.4.3.Product development
8.4.4.Business expansion
8.4.5.Acquisition
8.5.PATENT ANALYSIS
8.5.1.By region (2016-2019)
8.5.2.By applicant
8.6.CASE STUDIES
8.6.1.I2O Water Tackles Real-Time Water Crisis with Apache Cassandra
8.6.2.Bajaj Capital Accelerates Its Digital Journey with AWS
CHAPTER 9:COMPANY PROFILE
9.1.AEROSPIKE
9.1.1.Company overview
9.1.2.Key executives
9.1.3.Company snapshot
9.1.4.Product portfolio
9.1.5.Key strategic moves and developments
9.2.AMAZON WEB SERVICES, INC.
9.2.1.Company overview
9.2.2.Key Executives
9.2.3.Company snapshot
9.2.4.Operating business segments
9.2.5.Product portfolio
9.2.6.Business performance
9.2.7.Key strategic moves and developments
9.3.COUCHBASE
9.3.1.Company overview
9.3.2.Key executives
9.3.3.Company snapshot
9.3.4.Product portfolio
9.4.DATASTAX
9.4.1.Company overview
9.4.2.Key Executives
9.4.3.Company snapshot
9.4.4.Product portfolio
9.4.5.Key strategic moves and developments
9.5.GOOGLE LLC
9.5.1.Company overview
9.5.2.Key Executives
9.5.3.Company snapshot
9.5.4.Product portfolio
9.5.5.R&D expenditure
9.5.6.Business performance
9.5.7.Key strategic moves and developments
9.6.MARKLOGIC CORPORATION
9.6.1.Company overview
9.6.2.Key executives
9.6.3.Company snapshot
9.6.4.Product portfolio
9.6.5.Key strategic moves and developments
9.7.MICROSOFT CORPORATION
9.7.1.Company overview
9.7.2.Key executives
9.7.3.Company snapshot
9.7.4.Operating business segments
9.7.5.Product portfolio
9.7.6.R&D expenditure
9.7.7.Business performance
9.7.8.Key strategic moves and developments
9.8.MONGODB INC.
9.8.1.Company overview
9.8.2.Key executives
9.8.3.Company snapshot
9.8.4.Product portfolio
9.8.5.Key strategic moves and developments
9.9.NEO4J, INC.
9.9.1.Company overview
9.9.2.Key Executives
9.9.3.Company snapshot
9.9.4.Product portfolio
9.9.5.Key strategic moves and developments
9.10.OBJECTIVITY, INC.
9.10.1.Company overview
9.10.2.Key Executives
9.10.3.Company snapshot
9.10.4.Product portfolio
9.10.5.Key strategic moves and developments
LIST OF TABLES
TABLE 01.GLOBAL NOSQL MARKET REVENUE, BY TYPE, 2018-2026 ($MILLION)
TABLE 02.NOSQL MARKET REVENUE FOR KEY-VALUE STORE, BY REGION 2018–2026 ($MILLION)
TABLE 03.NOSQL MARKET REVENUE FOR DOCUMENT DATABASES, BY REGION 2018–2026 ($MILLION)
TABLE 04.NOSQL MARKET REVENUE FOR COLUMN BASED STORES, BY REGION 2018–2026 ($MILLION)
TABLE 05.NOSQL MARKET REVENUE FOR GRAPH DATABASE, BY REGION 2018–2026 ($MILLION)
TABLE 06.GLOBAL NOSQL MARKET, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 07.NOSQL MARKET REVENUE FOR DATA STORAGE, BY REGION, 2018–2026 ($MILLION)
TABLE 08.NOSQL MARKET REVENUE FOR MOBILE APPS, BY REGION, 2018–2026 ($MILLION)
TABLE 09.GLOBAL NOSQL MARKET REVENUE FOR WEB APPLICATIONS, BY REGION 2018–2026 ($MILLION)
TABLE 10.GLOBAL NOSQL MARKET REVENUE FOR DATA ANALYTICS, BY REGION 2018–2026 ($MILLION)
TABLE 11.GLOBAL NOSQL MARKET REVENUE FOR OTHERS, BY REGION 2018–2026 ($MILLION)
TABLE 12.GLOBAL NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018-2026 ($MILLION)
TABLE 13.NOSQL MARKET REVENUE FOR RETAIL, BY REGION 2018–2026 ($MILLION)
TABLE 14.NOSQL MARKET REVENUE FOR GAMING, BY REGION, 2018–2026 ($MILLION)
TABLE 15.NOSQL MARKET REVENUE FOR IT, BY REGION 2018–2026 ($MILLION)
TABLE 16.NOSQL MARKET REVENUE FOR OTHERS, BY REGION 2018–2026 ($MILLION)
TABLE 17.GLOBAL NOSQL MARKET REVENUE, BY REGION, 2018–2026 ($MILLION)
TABLE 18.NORTH AMERICA NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 19.NORTH AMERICA NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 20.NORTH AMERICA NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 21.NORTH AMERICA NOSQL MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 22.U.S. NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 23.U.S. NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 24.U.S. NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 25.CANADA NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 26.CANADA NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 27.CANADA NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 28.EUROPE NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 29.EUROPE NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 30.EUROPE NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 31.EUROPE NOSQL MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 32.GERMANY NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 33.GERMANY NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 34.GERMANY NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 35.UK NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 36.UK NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 37.UK NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 38.FRANCE NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 39.FRANCE NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 40.FRANCE NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 41.REST OF EUROPE NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 42.REST OF EUROPE NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 43.REST OF EUROPE NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 44.ASIA-PACIFIC NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 45.ASIA-PACIFIC NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 46.ASIA-PACIFIC NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 47.ASIA-PACIFIC NOSQL MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 48.JAPAN NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 49.JAPAN NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 50.JAPAN NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 51.CHINA NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 52.CHINA NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 53.CHINA NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 54.INDIA NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 55.INDIA NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 56.INDIA NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 57.REST OF ASIA-PACIFIC NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 58.REST OF ASIA-PACIFIC NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 59.REST OF ASIA-PACIFIC NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 60.LAMEA NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 61.LAMEA NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 62.LAMEA NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 63.LAMEA NOSQL MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 64.LATIN AMERICA NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 65.LATIN AMERICA NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 66.LATIN AMERICA NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 67.MIDDLE EAST NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 68.MIDDLE EAST NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 69.MIDDLE EAST NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 70.AFRICA NOSQL MARKET REVENUE, BY TYPE, 2018–2026 ($MILLION)
TABLE 71.AFRICA NOSQL MARKET REVENUE, BY APPLICATION 2018–2026 ($MILLION)
TABLE 72.AFRICA NOSQL MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 73.KEY NEW PRODUCT LAUNCHES (2016-2019)
TABLE 74.PARTNERSHIP (2016-2019)
TABLE 75.PRODUCT DEVELOPMENT (2016-2019)
TABLE 76.KEY EXPANSION (2016-2019)
TABLE 77.KEY ACQUISITION (2016-2019)
TABLE 78.AEROSPIKE: KEY EXECUTIVES
TABLE 79.AEROSPIKE: COMPANY SNAPSHOT
TABLE 80.AEROSPIKE: PRODUCT PORTFOLIO
TABLE 81.AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 82.AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 83.AMAZON WEB SERVICES, INC.: OPERATING SEGMENTS
TABLE 84.AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 85.COUCHBASE: KEY EXECUTIVES
TABLE 86.COUCHBASE: COMPANY SNAPSHOT
TABLE 87.COUCHBASE: PRODUCT PORTFOLIO
TABLE 88.DATASTAX: COMPANY SNAPSHOT
TABLE 89.DATASTAX: PRODUCT PORTFOLIO
TABLE 90.GOOGLE LLC: KEY EXECUTIVES
TABLE 91.GOOGLE INC.: COMPANY SNAPSHOT
TABLE 92.GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 93.MARKLOGIC CORPORATION: KEY EXECUTIVES
TABLE 94.MARKLOGIC CORPORATION: COMPANY SNAPSHOT
TABLE 95.MARKLOGIC CORPORATION: PRODUCT PORTFOLIO
TABLE 96.MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 97.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 98.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 99.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 100.MONGODB INC.: KEY EXECUTIVES
TABLE 101.MONGODB INC.: COMPANY SNAPSHOT
TABLE 102.MONGODB INC.: PRODUCT PORTFOLIO
TABLE 103.NEO4J, INC.: KEY EXECUTIVES
TABLE 104.NEO4J, INC.: COMPANY SNAPSHOT
TABLE 105.NEO4J, INC.: PRODUCT PORTFOLIO
TABLE 106.OBJECTIVITY, INC.: KEY EXECUTIVES
TABLE 107.OBJECTIVITY, INC.: COMPANY SNAPSHOT
TABLE 108.OBJECTIVITY, INC.: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.GLOBAL NOSQL MARKET, 2018–2026
FIGURE 03.GLOBAL NOSQL MARKET, BY REGION, 2018–2026
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.TOP PLAYERS OF THE GLOBAL NOSQL MARKET
FIGURE 07.MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 08.MODERATE-TO-HIGH BARGAINING POWER OF BUYER
FIGURE 09.MODERATE-TO-HIGH THREAT OF SUBSTITUTES
FIGURE 10.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 11.LOW-TO-HIGH COMPETITIVE RIVALRY
FIGURE 12.VALUE CHAIN ANALYSIS OF NOSQL MARKET
FIGURE 13.MARKET DYNAMICS: GLOBAL NOSQL MARKET
FIGURE 14.IMPACT OF GOVERNMENT REGULATIONS ON THE GLOBAL NOSQL MARKET
FIGURE 15.GLOBAL NOSQL MARKET, BY TYPE, 2018-2026
FIGURE 16.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR KEY-VALUE STORE, BY COUNTRY, 2018 & 2026 (%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR DOCUMENT DATABASES, BY COUNTRY, 2018 & 2026 (%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR COLUMN BASED STORES, BY COUNTRY, 2018 & 2026 (%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR GRAPH DATABASE, BY COUNTRY, 2018 & 2026 (%)
FIGURE 20.GLOBAL NOSQL MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF GLOBAL NOSQL MARKET FOR DATA STORAGE, BY COUNTRY, 2018 & 2026 (%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF GLOBAL NOSQL MARKET FOR MOBILE APPS, BY COUNTRY, 2018 & 2026 (%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR WEB APPLICATIONS, BY COUNTRY, 2018 & 2026 (%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR DATA ANALYTICS, BY COUNTRY, 2018 & 2026 (%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR OTHERS, BY COUNTRY, 2018 & 2026 (%)
FIGURE 26.GLOBAL NOSQL MARKET, BY INDUSTRY VERTICAL, 2018–2026
FIGURE 27.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR RETAIL, BY COUNTRY, 2018 & 2026(%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF GLOBAL NOSQL MARKET FOR GAMING, BY COUNTRY, 2018 & 2026 (%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR IT, BY COUNTRY, 2018 & 2026 (%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS GLOBAL NOSQL MARKET FOR OTHERS, BY COUNTRY, 2018 & 2026 (%)
FIGURE 31.GLOBAL NOSQL MARKET REVENUE, BY REGION, 2018–2026 ($MILLION)
FIGURE 32.U.S. NOSQL MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 33.CANADA NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 34.GERMANY NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 35.UK NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 36.FRANCE NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 37.REST OF EUROPE NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 38.JAPAN NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 39.CHINA NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 40.INDIA NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 41.REST OF ASIA-PACIFIC NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 42.LATIN AMERICA NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 43.MIDDLE EAST NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 44.AFRICA NOSQL MARKET REVENUE, 2018-2026 ($MILLION)
FIGURE 45.KEY PLAYER POSITIONING ANLYSIS: GLOBAL NOSQL MARKET
FIGURE 46.TOP WINNING STRATEGIES, BY YEAR, 2016-2019
FIGURE 47.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2016-2019
FIGURE 48.TOP WINNING STRATEGIES, BY COMPANY, 2016-2019
FIGURE 49.COMPETITIVE DASHBOARD
FIGURE 50.COMPETITIVE DASHBOARD
FIGURE 51.COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 52.PATENT ANALYSIS, BY REGION
FIGURE 53.PATENT ANALYSIS, BY APPLICANT
FIGURE 54.AMAZON.COM, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 55.AMAZON WEB SERVICES, INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 56.AMAZON WEB SERVICES, INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 57.DATASTAX: KEY EXECUTIVES
FIGURE 58.R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 59.ALPHABET INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 60.ALPHABET INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 61.R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 62.MICROSOFT CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 63.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 64.MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
The Not only SQL (NoSQL) technology isgarnering high adoption among digital industries due to its performance, scalability, schema flexibility, and analytic capabilities. Also, it hasgained spectacular popularity for big data and web & specialized applications development projects owing to its key-value store and column-based storeschemes. This is expected to boost the market growth over the next few years.
High prominence of RDBMS has compelled companies to overcome its limitations of not capable of supporting unstructured data with optimum space requirement due to growing big data. Though, NoSQL is not a substitute for conventional RDBMS products such as Oracle SQL, and Microsoft Access. It is evident from its use cases that NoSQL overcomes imitations observed in conventional RDBMS technologies. Rise in unstructured data with conventional RDBMS solutions have propelled the growth of NoSQL databases across various industry verticals.
Rise in deployment of non-relational NoSQL databases among enterprise data architecture strategy, is expected to mark the growth of the market at a significant rate. Furthermore, as microservice architecture has gained popularity due to low cost, agile, massively scalable software development, and data management features, the NoSQL industry is shifting fromtraditionalto monolithic databases which in turn is expected to support growth of the market.
The active efforts taken by several stakeholders, which are observed in partnerships across the market are diversifying and extending the usage of NoSQL. In addition, increase in open-source offerings of NoSQL database and the facility of extending or increasing functionalities with paid subscriptions has further supported the growth of the market at a rapid pace in its formative years. Hence, the yearly growth of the market is expected to remain high for the next couple of years.
The key players operating in the global NoSQL market include Aerospike, Inc., Amazon Web Services, Inc., DataStax, Inc., Microsoft Corporation, Couchbase, Inc., Google LLC, MarkLogic Corporation, MongoDB, Inc., Neo Technology, Inc., and Objectivity, Inc. Major players have adopted various revenue and business growth strategies to enhance and develop their product portfolio, strengthen their NoSQL marketshare, and increase their market penetration.
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