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Public Cloud Non-Relational Databases/NoSQL Database Market Size, CAGR, Trends 2024-2030

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LeoFranklin
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Market Overview and Report Coverage

Public Cloud Non-Relational Databases, also known as NoSQL databases, are a type of database that provides a flexible and scalable solution for storing and managing data in the cloud. These databases are designed to handle large volumes of unstructured or semi-structured data, making them ideal for modern applications that require high performance and scalability.

The future outlook for the Public Cloud Non-Relational Databases/NoSQL Database Market looks promising, with a projected growth rate of % during the forecasted period. This growth can be attributed to the increasing adoption of cloud computing and the need for flexible and scalable database solutions. Companies are turning to NoSQL databases to meet the demands of modern applications and to support their digital transformation initiatives.

Some of the latest trends in the Public Cloud Non-Relational Databases/NoSQL Database Market include the rise of multi-cloud and hybrid cloud deployments, growing demand for real-time analytics and IoT applications, and increasing focus on security and compliance. Overall, the market is expected to continue to grow as organizations look for innovative ways to manage and analyze their data in the cloud.

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Market Segmentation

The Public Cloud Non-Relational Databases/NoSQL Database Market Analysis by types is segmented into:

  • Key Value Storage Database
  • Column Storage Database
  • Document Database
  • Graph Database

 

Public cloud non-relational databases, also known as NoSQL databases, encompass various market types such as Key Value Storage Database, Column Storage Database, Document Database, and Graph Database. Key Value Storage Database stores data as key-value pairs, Column Storage Database organizes data in columns rather than rows, Document Database stores data in flexible, JSON-like documents, and Graph Database focuses on the relationships between data entities. These market types cater to different use cases and provide scalability, flexibility, and performance for diverse data storage needs.

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The Public Cloud Non-Relational Databases/NoSQL Database Market Industry Research by Application is segmented into:

  • Automatic Software Patching
  • Automatic Backup
  • Monitoring And Indicators
  • Automatic Host Deployment

 

Public cloud non-relational databases or NoSQL databases offer automatic software patching, automatic backup, monitoring and indicators, and automatic host deployment features. These applications allow businesses to easily maintain and scale their databases without needing to worry about manual updates or backups. With these automated processes in place, companies can focus on their core business operations without the hassle of managing database infrastructure. This market is growing as more businesses understand the benefits of cloud-based database solutions.

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In terms of Region, the Public Cloud Non-Relational Databases/NoSQL Database Market Players available by Region are:

North America:

  • United States
  • Canada

Europe:

  • Germany
  • France
  • U.K.
  • Italy
  • Russia

Asia-Pacific:

  • China
  • Japan
  • South Korea
  • India
  • Australia
  • China Taiwan
  • Indonesia
  • Thailand
  • Malaysia

Latin America:

  • Mexico
  • Brazil
  • Argentina Korea
  • Colombia

Middle East & Africa:

  • Turkey
  • Saudi
  • Arabia
  • UAE
  • Korea

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What are the Emerging Trends in the Global Public Cloud Non-Relational Databases/NoSQL Database market?

The emerging trends in the global public cloud non-relational databases/NoSQL database market include increased adoption of serverless computing, growing popularity of multi-cloud strategies, and rising focus on scalability and flexibility. Current trends in the market involve the integration of artificial intelligence and machine learning capabilities, the shift towards containerization and microservices architecture, and the development of specialized NoSQL databases tailored for specific use cases such as IoT and edge computing. Additionally, there is a growing emphasis on data security and compliance with stringent regulations in various industries, driving the demand for advanced encryption and access control features in public cloud NoSQL databases.

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Major Market Players

The public cloud non-relational database market is highly competitive with key players such as MongoDB Inc, AWS (Amazon Web Services), Google, Oracle Corporation, and others dominating the industry. MongoDB Inc is one of the leading companies in this market offering a popular NoSQL database solution. MongoDB has shown significant market growth with its revenue reaching $ million in 2020.

AWS, a subsidiary of Amazon, is another major player offering a wide range of cloud services, including non-relational databases through its Amazon DocumentDB and Amazon DynamoDB services. AWS reported a revenue of $45.4 billion in the first quarter of 2021, indicating its strong position in the market.

Google is also a key player in the public cloud non-relational database market with its Google Cloud Platform offering services like Google Cloud Firestore and Bigtable. Google's cloud revenue reached $13.1 billion in 2020, showcasing its growth in the industry.

Oracle Corporation, a well-known database provider, has also made significant strides in the non-relational database market with services like Oracle NoSQL Database and Oracle Autonomous JSON Database. Oracle reported a revenue of $10.1 billion in the fourth quarter of 2020.

Overall, the public cloud non-relational database market is expected to continue growing as organizations increasingly adopt cloud-based solutions for their data needs. The latest trends in the market include the growing demand for real-time analytics, the adoption of serverless computing, and the rise of multi-cloud strategies among enterprises. The market size is projected to reach $17.1 billion by 2025, driven by the increasing need for scalable and flexible database solutions in the era of big data and digital transformation.

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