Synthetic Data Generation Market Segmentation:
Data Type Segment Analysis
Based on data type, tabular data in the synthetic data generation market is anticipated to hold the largest revenue share of about 50% during the forecast period. Recently, privacy concerns have made it difficult for businesses to get real-life data. Due to these difficulties, synthetic data that resembles real data is produced and can be kept in an organized tabular manner. This increases the need for tabular data, which is anticipated to grow at a notable CAGR throughout the projected period. Businesses can improve operational data security and privacy by utilizing Generative Adversarial Networks (GANs) to create synthetic tabular data.
Application Segment Analysis
Based on application, the test data management segment in the synthetic data generation market is expected to hold the largest share, about 35%, during the forecast period. The rising requirement for high-quality data for testing and validation will drive the market. Test data management allows the developers to test applications with the use of real-world data, without putting data at risk. For instance, the Infosys test data management suite provides web-based tools for centralized test data management. This suite renders an easy and single-use interface for data and testing provisioning teams. The tool kit comes with test data generation, masking, and extraction capabilities along with data request-based workflow.
Our in-depth analysis of the global synthetic data generation market includes the following segments:
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