India Synthetic Data Generation Market Research Report By Component (Solution, Services), By Deployment Mode (On-Premise, Cloud), By Data Type (Tabular Data, Text Data, Image and Video Data, Others), By Application (AI Training and Development, Test Data Management, Data Sharing and Retention, Data Analytics, Others), and By Industry Vertical (BFSI, Healthcare and Life Sciences, Transportation and Logistics, Government and Defense, IT and Telecommunication, Manufacturing, Media and Entertainment, Others)- Forecast to 2035

India Synthetic Data Generation Market Overview

As per MRFR analysis, the India Synthetic Data Generation Market Size was estimated at 15.99 (USD Million) in 2023.The India Synthetic Data Generation Market is expected to grow from 25.3(USD Million) in 2024 to 2,073.2 (USD Million) by 2035. The India Synthetic Data Generation Market CAGR (growth rate) is expected to be around 49.264% during the forecast period (2025 - 2035)

Key India Synthetic Data Generation Market Trends Highlighted

The market for synthetic data generation in India is expanding significantly due to rising demands for data security and privacy. Since India's Personal Data Protection Bill went into effect, businesses are looking for methods to use data without jeopardizing personal information.

Because it replicates real data while protecting individual privacy, synthetic data offers a solution that enables companies to innovate and create AI models while still meeting legal obligations. Businesses that specialize in synthetic data have a lot of opportunities, especially in industries like healthcare and finance where there is a demand for secure analytics because to the abundance of sensitive data.

Recent patterns indicate that synthetic data is being more widely used in India's many industries as companies seek to improve their AI models with high-quality data free from the limitations of real-world data. The market is also being driven by the emergence of AI and machine learning technologies as well as the increased focus on data science research and development.

Additionally, government programs that assist India's digital economy foster the development of technology that make it easier to access vital statistics and protect personal information. Additionally, a significant differentiation in the Indian IT business is the strong skill pool, which promotes innovation in the creation of synthetic data.

Companies are starting to work with startups and academic institutions to expand their capabilities as they investigate the use of synthetic data for AI system training. All things considered, the India Synthetic Data Generation Market is a crucial sector for future growth since it shows a proactive approach to striking a balance between innovation and data safety.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

India Synthetic Data Generation Market Drivers

Increased Demand for Data Privacy and Compliance

The growing emphasis on data privacy and compliance within India has been a significant driver for the India Synthetic Data Generation Market. With stringent regulations such as the Personal Data Protection Bill, which aims to provide a framework for data protection and privacy, organizations are required to ensure that personal data is not mishandled.This has led to an increased demand for synthetic data, which allows businesses to develop AI and machine learning models without risking exposure of actual personal data.

For instance, organizations like the National Association of Software and Service Companies (NASSCOM) have suggested that approximately 70% of Indian companies are concerned about the impacts of data breaches, prompting them to seek alternatives like synthetic data, thereby fostering significant growth in the market.As the market matures, compliance requirements are expected to push more businesses towards adopting synthetic data solutions, creating a favorable environment for market expansion.

Advancements in Artificial Intelligence and Machine Learning

Rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML) are driving the India Synthetic Data Generation Market. As the AI and ML sectors grow, Indian companies are increasingly leveraging synthetic data to train their algorithms more effectively.According to the Ministry of Electronics and Information Technology, the AI market in India is predicted to reach USD 7.8 billion by 2025, showcasing the sector’s exponential growth. This rise in AI applications requires vast amounts of data for training, and synthetic data provides a risk-free alternative that maintains data integrity while allowing companies to harness the power of AI.

Major tech firms, such as Infosys and Wipro, are investing heavily into AI research, which includes synthetic data generation techniques. This investment further supports the estimated Compound Annual Growth Rate (CAGR) in the region, as companies seek innovative data solutions.

Growing Applications Across Various Industries

The escalating applications of synthetic data across various industries in India is emerging as a critical driver for the growth of the India Synthetic Data Generation Market. Sectors such as finance, healthcare, and autonomous vehicles are adopting synthetic data to better train models while maintaining compliance with data restrictions.For example, the healthcare sector is set to see significant changes, with a report from the Indian Ministry of Health and Family Welfare indicating a 25% increase in diagnostic technologies, which rely heavily on data for development.

Companies like Tata Consultancy Services (TCS) are already employing synthetic data to streamline their operations and improve predictive analytics within these industries. The increasing necessity for accurate data solutions to improve efficiencies positions the synthetic data market as a vital resource, propelling its future prospects.

India Synthetic Data Generation Market Segment Insights

Synthetic Data Generation Market Component Insights

The Component segment of the India Synthetic Data Generation Market represents a vital aspect of the overall landscape, as it encompasses both Solutions and Services essential for creating and utilizing synthetic data effectively.Solutions in this segment provide platforms and software tailored to generate synthetic datasets that mimic real-world data, enabling businesses across various industries to leverage artificial intelligence and machine learning without compromising sensitive or private information.

These solutions are particularly relevant in a country like India, where data privacy concerns are becoming increasingly significant due to regulations and compliance standards set forth by the government.On the other hand, Services contribute greatly to the India Synthetic Data Generation Market by offering consulting, implementation, and support to organizations looking to integrate synthetic data generation into their operations.The growing emphasis on data-driven decision-making has prompted businesses to explore synthetic data as a more secure, cost-effective alternative to traditional data collection methods, thus stimulating demand for specialized services.

Furthermore, as companies in India seek innovative approaches to enhance their machine learning models, the importance of this segment cannot be overstated. Industries such as finance, healthcare, and retail are constantly evolving, and the ability to generate synthetic data that accurately reflects diverse scenarios enables these sectors to optimize their operations, improve models, and foster innovation.The high penetration of digital technologies in India, backed by government initiatives such as Digital India, further accelerates the adoption of synthetic data generation Solutions and Services, creating opportunities for growth.

This segment sees strong competition among players, leading to continual enhancements and updates in both technology and service offerings. With the rapid evolution of artificial intelligence and the growing demand for high-quality training data, both Solutions and Services are becoming indispensable for organizations that aim to remain competitive in a data-centric world.Overall, the Component segment forms the backbone of the India Synthetic Data Generation Market, driving advancements and enabling businesses to harness the power of synthetic data to meet their specific needs efficiently and securely.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Synthetic Data Generation Market Deployment Mode Insights

The Deployment Mode segment of the India Synthetic Data Generation Market showcases a growing landscape driven by advancements in technology and data management practices. This segment primarily includes On-Premise and Cloud-based deployment models.The Cloud deployment model increasingly dominates due to its scalability, cost-effectiveness, and ability to facilitate real-time data processing and analytics. Organizations in India are recognizing the need for secure and flexible data solutions, which positions Cloud as a favorable option for many.

Conversely, the On-Premise model remains significant for industries requiring stringent data privacy and compliance measures. This model allows organizations to retain complete control over their data infrastructure, making it vital for sectors like healthcare and finance, which are heavily regulated.

The increase in Artificial Intelligence and machine learning applications across various industries is propelling the demand for synthetic data, further enriching the scope of both deployment modes.These shifts in market demand highlight the growing importance of efficient data solutions in driving innovation and operational efficiency within the India Synthetic Data Generation Market, thereby contributing to its overall market growth.

Synthetic Data Generation Market Data Type Insights

The India Synthetic Data Generation Market has been structured around various Data Types, reflecting the growing demand for diverse applications across industries. Tabular Data, which is instrumental in traditional business analytics and machine learning, holds a significant role as it allows organizations to enhance their data-driven decision-making.

Text Data is gaining traction due to its importance in natural language processing, enabling businesses to better comprehend customer sentiments and improve user experiences. Image and Video Data have also gained prominence, particularly in sectors like healthcare, autonomous vehicles, and e-commerce, where visual recognition plays a crucial role.

This type of data assists in training AI models with high accuracy, crucial for technological advancements. Additionally, the Other data segment encompasses various emerging forms of data, providing flexibility for businesses to customize synthetic datasets according to specific requirements.

The contribution of these Data Types reflects the overall robustness of the India Synthetic Data Generation Market, spurred by innovations and increasing awareness of data privacy standards. As AI continues to evolve, the demand for quality synthetic data across these categories is expected to rise significantly.

Synthetic Data Generation Market Application Insights

The India Synthetic Data Generation Market is experiencing notable growth, particularly in the Application segment, which encompasses AI Training and Development, Test Data Management, Data Sharing and Retention, Data Analytics, and other relevant areas.The increased reliance on artificial intelligence in various sectors has significantly elevated the importance of AI Training and Development, as organizations require diverse and high-quality datasets to train models effectively. Test Data Management plays a crucial role in ensuring that applications perform reliably under various scenarios by providing sufficient testing environments.

Data Sharing and Retention are essential in complying with regulations and facilitating collaboration among data-driven platforms, enhancing overall operational efficiency. Furthermore, the rising need for efficient and actionable insights drives innovation within Data Analytics.

The overall demand for synthetic data solutions within these applications indicates a transformative shift in how organizations leverage data to foster innovation, improve operational efficiency, and make informed decisions, making it a significant component of the broader India Synthetic Data Generation Market landscape.As the industry evolves, the potential for growth and development in these areas remains strong, driven by technological advancements and an increasing focus on data utilization across various sectors in India.

Synthetic Data Generation Market Vertical Insights

The Industry Vertical segment of the India Synthetic Data Generation Market encompasses a diverse range of sectors that leverage synthetic data for various applications. In the Banking, Financial Services, and Insurance (BFSI) sector, organizations utilize synthetic data to enhance fraud detection and risk modeling, which are crucial for improving operational efficiency.

The Healthcare and Life Sciences segment notably benefits from synthetic data in the development of predictive models and personalized medicine, enabling advancements in patient care and research.Transportation and Logistics utilize synthetic data for optimizing routing and supply chain management, which is vital for operational resilience. Government and Defense sectors harness synthetic data for simulation and modeling to improve public safety and resource allocation.

IT and Telecommunication companies employ synthetic data for network optimization and customer experience enhancement, while the Manufacturing sector focuses on predictive maintenance and quality control, streamlining production processes.Media and Entertainment equally rely on synthetic data for content generation and audience analysis, ensuring a richer customer engagement experience. Overall, the significance of each sector in the India Synthetic Data Generation Market lies in its ability to drive innovation, efficiency, and data-driven decision-making across various applications.

India Synthetic Data Generation Market Key Players and Competitive Insights

The India Synthetic Data Generation Market has been evolving rapidly, reflecting the increasing demand for high-quality, privacy-compliant datasets across various industries such as healthcare, finance, and artificial intelligence.This market is characterized by a mix of established players and emerging startups innovating in data synthesis and generation techniques to provide organizations with the necessary datasets for training machine learning models.The competitive landscape is shaped by advancements in technology, such as generative adversarial networks and data augmentation techniques, which enable companies to create more accurate and robust synthetic data while adhering to legal and ethical guidelines.

The focus on data privacy and security has further propelled competitors to differentiate themselves through unique offerings, partnerships, and innovative business models aimed at catering to specific sector needs and improving operational efficiencies.Niramai has made significant strides in the Indian Synthetic Data Generation Market, especially in the healthcare domain. The company specializes in leveraging artificial intelligence and machine learning to facilitate comprehensive health screening for breast cancer through its innovative thermal image processing technology.

Niramai's strengths lie in its advanced method of generating synthetic health data tailored to improve machine learning outcomes while ensuring patient confidentiality. With a strong emphasis on research and development, Niramai is well-positioned to address the critical need for high-quality, synthetic datasets that can help train AI models effectively without compromising on data privacy.This unique focus on merging healthcare and technology not only enhances its market presence but also fosters trust among stakeholders in the healthcare ecosystem.

Razorpay, a prominent player in the fintech sector, has extended its capabilities into synthetic data generation with a focus on enhancing solutions for payment processing and financial transactions within the Indian market.The company is known for its robust suite of products, including payment gateways, financial management tools, and data analytics services. In the synthetic data generation realm, Razorpay aims to develop datasets that mimic real financial scenarios, thus allowing businesses to test their systems for fraud detection and risk assessment without exposing sensitive customer information.

The company's strengths lie in its strong market presence and ability to integrate synthetic data solutions to enhance their existing services. Additionally, Razorpay has been involved in strategic partnerships and collaborations within the tech ecosystem, enhancing its offerings and expanding its reach.Noteworthy mergers and acquisitions have also bolstered its position in the market, enabling it to scale rapidly and respond to the evolving needs of businesses seeking innovative data solutions in India.

Key Companies in the India Synthetic Data Generation Market Include

• Niramai
• Razorpay
• Myntra
• Qure.ai
• InMobi
• SigTuple
• Unsupervised
• Fractal Analytics
• Lenskart
• Genpact
• Tredence
• Zebra Medical Vision
• CureMetrix
• Zebpay

India Synthetic Data Generation Market Developments

In order to expand its use throughout India and beyond, Qure.ai raised $65 million in funding in September 2024 to improve its AI-powered medical diagnosis tools, including as the FDA-approved qCT LN Quant for tracking lung cancer and qXR-LN for detecting chest X-ray nodules.To develop its AI100 digital microscope device solutions across countries and grow its product line and regulatory clearances, SigTuple raised ₹33 crore (about $4 million) in August 2024 through a fundraising round led by SIDBI Venture Capital.

Fractal Analytics became an AWS Premier Tier Services Partner in March 2025. In July 2025, the company introduced Cogentiq, an agentic AI platform that supports the creation of synthetic data for improved decision-making processes and optimizes organizational performance.Qure.ai's leadership in AI-driven health screening and synthetic augmentation of diagnostic datasets was acknowledged at the GPAI Summit in Delhi in December 2023 as the leading AI solution for global health.

In the meantime, the Indian government declared in January 2025 that it would build an indigenous generative AI model using more than 18,000 GPUs in eight months, and it would provide the necessary infrastructure so that companies like Niramai could use synthetic training data in a sustainable and safe manner.

India Synthetic Data Generation Market Segmentation Insights

Synthetic Data Generation Market Component Outlook

• Solution
• Services

Synthetic Data Generation Market Deployment Mode Outlook

• On-Premise
• Cloud

Synthetic Data Generation Market Data Type Outlook

• Tabular Data
• Text Data
• Image and Video Data
• Others

Synthetic Data Generation Market Application Outlook

• AI Training and Development
• Test Data Management
• Data Sharing and Retention
• Data Analytics
• Others

Synthetic Data Generation Market Vertical Outlook

• BFSI
• Healthcare and Life Sciences
• Transportation and Logistics
• Government and Defense
• IT and Telecommunication
• Manufacturing
• Media and Entertainment
• Others

 

Report Attribute/Metric Source:	Details
MARKET SIZE 2023	15.99(USD Million)
MARKET SIZE 2024	25.3(USD Million)
MARKET SIZE 2035	2073.2(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR)	49.264% (2025 - 2035)
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR	2024
MARKET FORECAST PERIOD	2025 - 2035
HISTORICAL DATA	2019 - 2024
MARKET FORECAST UNITS	USD Million
KEY COMPANIES PROFILED	Niramai, Razorpay, Myntra, Qure.ai, InMobi, SigTuple, Unsupervised, Fractal Analytics, Lenskart, Genpact, Tredence, Zebra Medical Vision, CureMetrix, Zebpay
SEGMENTS COVERED	Component, Deployment Mode, Data Type, Application, Industry Vertical
KEY MARKET OPPORTUNITIES	Growing demand for AI training data, Rise in data privacy regulations, Expansion of machine learning applications, Increased adoption across industries, Emerging need for realistic simulation scenarios
KEY MARKET DYNAMICS	Data privacy regulations, Increasing AI adoption, Demand for data augmentation, Cost-effective data solutions, Rapid technological advancements
COUNTRIES COVERED	India