The rising demand for NoSQL (Not Only SQL) in the Database Management System (DBMS) market stems from the need to manage and process vast amounts of unstructured and semi-structured data. Traditional relational databases excel at handling structured data, but they face challenges when dealing with the complexities of modern data types, such as JSON, XML, social media data, and sensor data.

One of the primary advantages of NoSQL databases is their schema flexibility. Unlike traditional databases, NoSQL databases allow data to be stored without a predefined schema, providing the flexibility to accommodate changing data structures without requiring alterations to the database schema. This adaptability is particularly beneficial for applications with evolving data requirements.

Scalability is another key factor driving the adoption of NoSQL Database Management System. Many NoSQL databases are designed to operate on distributed systems, enabling horizontal scaling by adding more servers to handle increasing data volumes and user loads. This scalability ensures high performance even under heavy data loads, making NoSQL databases ideal for web applications and big data processing.

Additionally, NoSQL databases support high-velocity data processing. They excel at handling real-time data streams, making them suitable for applications that require fast data ingestion and processing, such as IoT, e-commerce, and real-time analytics.

NoSQL databases are also preferred for their ability to provide low-latency access to data. They often use techniques like caching and indexing to deliver rapid query response times, enhancing the overall user experience.

However, it's essential to note that NoSQL databases are not a one-size-fits-all solution. They may not be suitable for all use cases, especially those that heavily rely on complex transactions and data integrity constraints.

In conclusion, the rising demand for NoSQL in the global database management system (DBMS) market is driven by its schema flexibility, scalability, high-velocity data processing, and low-latency access. As data continues to grow in volume and complexity, NoSQL databases will continue to play a crucial role in modern data management strategies.