India Data Science Platform Market

India Data Science Platform Market Size and Share:

The India data science platform market size was valued at USD 498.2 Million in 2024. Looking forward, IMARC Group estimates the market to reach USD 2,551.2 Million by 2033, exhibiting a CAGR of 18.91% from 2025-2033. South India is dominating the market owing to the rising demand for data-driven decision-making, increased adoption of machine learning (ML), and application of cutting-edge analytics across sectors. As the demand for data scientists grows and more open data APIs become available, companies are using platforms to manage data effectively and make predictions. These changes improve business efficiency and strategic decision-making across industries. Therefore, the industry keeps on expanding, adding to the growing India data science platform market share.

The accelerating growth of digital infrastructure and data creation in different Indian industries strongly drives the need for data science platforms. Companies are not only accumulating huge amounts of data from different sources but also need strong tools to deal with, process, and analyze that information effectively. As per the sources, in May 2025, IIT Madras deployed cutting-edge data science platforms for road safety leveraging AI-driven tools such as Sanjaya and eDAR to facilitate hyperlocal crash analysis across 100 districts in India. Furthermore, data science platforms enable effortless combination of heterogeneous datasets through advanced connectors and APIs, improving data accessibility and quality. This allows for enhanced decision-making and business efficiency through the ability to derive actionable insights from rich and massive data. In addition, increased adoption of cloud technology enables scalable and adaptive deployment of the platforms, which complements the changing requirements of organizations in the process of digital transformation. As businesses from various industries like healthcare, finance, and telecommunications adopt data-driven approaches, demand for advanced data science solutions keeps building momentum, fueling India data science platform market growth.

Growing emphasis on machine learning (ML) and artificial intelligence (AI) integration serves as a strong impetus for the expansion of data science platforms in India. According to the reports, in March 2025, India introduced the IndiaAI Dataset Platform providing the world's largest open dataset of anonymized, non-personal data to enhance AI model precision and fuel innovation across the country. Moreover, these platforms offer end-to-end toolsets that enable data scientists and analysts to develop, validate, and deploy predictive models with more ease and efficiency. Advanced AI capabilities empower organizations to realize value from advanced analytics for market forecasting, customer behavior analysis, and process automation. This deployment helps support strategic initiatives to enhance operational outcomes and drive innovation across industries. Moreover, the scalability and flexibility of contemporary data science platforms enable them to comfortably support the changing and dynamic analytical demands of enterprises. As a result, the increasing focus on AI-driven insights and automation is driving pervasive adoption of data science platforms, leading to healthy market growth in India.

India Data Science Platform Market Trends:

Increase in Demand for Data Science Professionals and Analytics Integration

India's market for data science platforms is growing at a fast pace due to the boom in demand for proficient data scientists as well as the extensive use of analytics tools. As per NASSCOM, India is expected to see demand for data scientists grow by 300% between 2022 and 2030, demonstrating the extent to which data-based decision-making is being infused across sectors. Companies today view data as a strategic asset and are increasingly making use of integrated platforms that enable an end-to-end analytics workflow—from the ingestion and processing of data to advanced visualization and reporting. Such platforms ease the complexity in working with massive datasets, enabling organizations to gain insights more rapidly. In industries such as retail, healthcare, and BFSI, the integration of such platforms enables faster turnaround on key decisions and better customer targeting. As businesses upgrade their data infrastructures, they are also spending on upskilling in-house talent, further enhancing the maturity of the ecosystem and driving continued market expansion for data science platforms across India.

API-Driven Data Accessibility and Ecosystem Integration

One of the most important trends driving India data science platform market forecast is increased API-driven data access, enabling strong integration across heterogeneous data sources. The Open Government Data (OGD) Platform of the Indian government showcases about 233,965 APIs, demonstrating the country's dedication to openness, accessibility, and digital transformation. New data science platforms leverage this ecosystem by providing pre-built connectors and APIs that easily consume data from public databases, cloud providers, and internal enterprise systems. With this capability, users can bring together structured and unstructured data, break down silos, and conduct faster analysis without requiring high-level technical skills. API-first helps organizations take instantaneous decisions, enhancing responsiveness in industries such as logistics, agriculture, and urban planning. As data consumption and generation accelerate, platforms emphasizing connectivity and interoperability are becoming the preferred choice. This not only enhances operational effectiveness but also supports India's position as a digitally advanced economy with open data and technology convergence.

Machine Learning Integration and Predictive Analytics Growth

Machine learning (ML) integration is revolutionizing the performance and popularity of data science platforms in India. The platforms increasingly come with a wide variety of ML algorithms and model-building tools, allowing users to discover patterns, predict results, and make informed decisions. Predictive analytics has become imperative for businesses like e-commerce, fintech, and telecom, where user behavior and market movement have to be understood in order to remain competitive. Indian companies are highly embracing platforms that make ML deployment easier with drag-and-drop interfaces, autoML functionalities, and pre-trained models. Such tools enable even non-technical experts to create strong models and extract value from data. In addition, ML-based platforms are taking a leading role in automating company processes, supply chain optimization, and customer churn reduction. With AI adoption gaining speed across the country, the use of machine learning within data science platforms is no longer an added feature but a strategic imperative, fueling innovation and long-term market momentum within India.

India Data Science Platform Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the India data science platform market, along with forecasts at the country and regional levels from 2025-2033. The market has been categorized based on component, application, and vertical.

Analysis by Component:

• Software
• Services

Software components were the largest in the India data science platform market in 2024, with a market share of 59.6%. This is because of the growing need for end-to-end data science software solutions that enable end-to-end capabilities, ranging from collecting data to data cleaning, analysis, modeling, and visualization. Organizations in different industries are using these platforms to automate their data workflows and gain actionable insights effectively. The usability and scalability of these software packages allow them to be utilized by large companies as well as small businesses, thus promoting extensive use. Additionally, incorporation of sophisticated features like machine learning algorithms and real-time analytics tools has further developed the capabilities of these platforms to allow businesses to make informed decisions instantly. The large market share enjoyed by software components highlights their central role in the data science universe, a trend where companies focus on solid and adaptable software solutions to tap into the complete potential of their data properties.

 Analysis by Application:

• Marketing and Sales
• Logistics
• Finance and Accounting
• Customer Support
• Others

Marketing and sales accounted for 33.8% of the India data science platform market in 2024, emphasizing the driving position of analytics in customer interactions and revenue creation. Companies increasingly leverage data science to maximize campaign effectiveness, personalize products and services, and maximize lead conversion with predictive modeling and real-time behavioral analysis. These platforms enable omnichannel strategies through the integration of social media data, CRM systems, and e-commerce platforms to provide consolidated consumer insights. The heightening focus on customer retention, personalization, and ROI-optimized campaigns has rendered data science critical for sales forecasting and identifying high-value customers. In addition, the increase in AI-powered tools like recommendation engines and sentiment analysis has helped empower marketing professionals to design more efficient strategies. This growth is most evident in retail, telecommunications, and banking, where customer information is rich and at the heart of business success. With mounting competition, marketing and sales continue to be key uses for data science platforms in India's digital economy.

Analysis by Vertical:

• IT and Telecommunication
• Healthcare
• BFSI
• Manufacturing
• Retail and E-Commerce
• Others

IT and telecommunication industry that drove vertical adoption in the India Data Science Platform Market in 2024, contributing to a 38.7% market share. It reflects the industry's extensive data creation as well as intrinsic dependency on analytics to drive service optimization, customer retention, and infrastructure management. Telecom companies utilize data science platforms for monitoring network performance, detecting fraud, and predictive maintenance, while IT companies utilize them to improve product development, automate processes, and handle large-scale cloud deployments. The amalgamation of AI and machine learning into platform solutions has also helped facilitate real-time analytics, fueling everything from customized user experiences to dynamic pricing models. With the IT and telecommunications industries of India acting as world service providers and digital infrastructure backbones, their investment in state-of-the-art data science capabilities is strategic and imperative. The industry’s strong talent base increased digital maturity and focus on innovation continue to propel its dominance in adopting and scaling data science technologies across the country.

Regional Analysis:

• North India
• West and Central India
• South India
• East and Northeast India

South India was the top performer in the India Data Science Platform Market in 2024, holding a market share of 37.6%. The reason for its dominance is the region's strong IT infrastructure and the presence of prominent technology centers like Bengaluru and Chennai. Bengaluru, also popularly known as the "Silicon Valley of India," is home to many IT companies and startups that are at the forefront of using data science technologies. Chennai, known as the "SaaS Capital of India," is a major contributor through its successful software-as-a-service sector. The presence of highly skilled professionals, research centers, and encouraging government initiatives in South India creates a platform conducive to the emergence and deployment of data science platforms. The region's leadership is a testament to its national significance in the data science map of the country, acting as an innovation and technology spurring influence.

Competitive Landscape:

The India data science platform market outlook is characterized by fierce innovation and technology acceleration, with many companies competing to provide holistic, end-to-end solutions that ease the data science process. Providers are making available platforms that bring together data preparation, advanced analytics, machine learning, and deployment functionalities through a single interface. The platforms are more cloud-based, scalable, and capable of handling real-time analytics, supporting the requirements of enterprises across industries such as finance, health care, logistics, and e-commerce. Focus is on allowing organizations to extract actionable insights in a timely manner, leading to better operational efficiency and decision-making. Industry players are also giving top priority to incorporating AI-based automation, easy-to-use interfaces, and open-source tool compatibility to drive performance and ease of use. Research and development (R&D) spending and strategic partnerships with universities and industry partners are fueling innovation in products. Providers are also building stronger data governance, privacy, and compliance capabilities into their offerings to address regulations and maintain long-term market competitiveness.

The report provides a comprehensive analysis of the competitive landscape in the India data science platform market with detailed profiles of all major companies.

Latest News and Developments:

• May 2025: Analytics Jobs launched a data science course review platform, featuring over 1,000 listings with verified, unbiased reviews. This initiative aims to assist learners in making informed decisions about data science education. The platform enhances transparency and accessibility in the data science education sector, catering to the growing demand for skilled professionals in India's data-driven economy.
• May 2025: ICRA Analytics Ltd. launched InfRE360, a cloud-based SaaS data science platform tailored for REITs and InvITs, aiming to enhance strategic decision-making in infrastructure and real estate investments. The platform supports sectors like roads, power, and logistics, offering real-time analytics and insights to stakeholders across India’s evolving trust markets.
• May 2025: Zepto launched its subscription-based data science platform, Zepto Atom, aiming to disrupt India’s analytics market with hyperlocal insights and predictive analytics. The platform, which features a proprietary NLP assistant called Zepto GPT, offered brands full-funnel consumer behaviour data and real-time performance metrics.
• January 2025: The Indian government initiated to build an AI-backed data science platform to enhance trade analytics, driven by concerns over inconsistencies in gold import data. A joint committee from the commerce and finance ministries was formed to establish a mechanism for publishing accurate data.
• January 2025: Mitsubishi Electric India acquired a stake in Indian software start-up Gervigreind Data Science to jointly develop no-code data-analysis applications. The collaboration aims to enhance factory automation digital solutions by integrating Mitsubishi Electric’s FA equipment with Gervigreind’s cost- and time-saving software.

India Data Science Platform Market Report Scope:

Key Benefits for Stakeholders:

• IMARC’s industry report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the India data science platform market from 2019-2033.
• The research report provides the latest information on the market drivers, challenges, and opportunities in the India data science platform market.
• Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the India data science platform industry and its attractiveness.
• Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.