India ModelOps Market

India ModelOps Market Overview:

The India ModelOps market size reached USD 174.84 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 6,326.87 Million by ​2033​, exhibiting a growth rate (CAGR) of 45.20% during ​2025-2033​. The market is driven by increased AI adoption across industries, growing demand for scalable and efficient machine learning operations, and rising focus on model governance and compliance. Additionally, the rise in cloud infrastructure and increasing need for real-time decision-making are also accelerating ModelOps deployment across enterprises.

India ModelOps Market Trends:

Escalating Adoption of Artificial Intelligence (AI)

India is rapidly positioning itself as a global hub for artificial intelligence, backed by robust infrastructure, strategic investments, and a tech-savvy workforce. With its software valued at USD 21.1 billion in 2024 and with nearly 5 million programmers, the country is well-equipped to integrate AI across diverse sectors. A notable example is Reliance Industries Limited’s launch of “JioBrain”, a comprehensive suite of AI tools designed to transform operations across the company. India’s momentum in AI is further reflected in market forecasts, with the India AI market projected to reach USD 12,429.6 million by 2033, growing at a CAGR of 27.6% (2025-2033). The country also has high generative AI adoption among knowledge workers, with an impressive 92% usage rate, well above the global average of 75%. Supporting this rapid growth is the Indian government’s USD 1.25 billion "IndiaAI Mission", aimed at fostering AI-driven innovation in key sectors like healthcare and agriculture. This initiative leverages public-private partnerships and India’s vast public datasets, underscoring the urgent need for advanced ModelOps solutions to effectively manage AI model lifecycles and ensure scalable, responsible deployment.

Shift Towards Developing Proprietary AI Models

Indian enterprises are increasingly prioritizing the development of proprietary AI models to gain strategic autonomy and reduce dependence on external providers. The future of enterprise AI lies in smaller, application-specific models rather than relying on large, expensive language models. This shift enables companies to tailor AI solutions to their unique needs, enhancing operational efficiency and productivity. Reflecting this trend, Infosys recently launched two small language models, Infosys Topaz BankingSLM and Infosys Topaz ITOpsSLM, in collaboration with AI chipmaker Nvidia, offering services to help businesses build and deploy their own models. This move aligns with a broader industry push toward customized, cost-effective AI systems that deliver targeted value. As more organizations embrace this approach, the demand for robust ModelOps platforms with further accelerate. These platforms are essential for managing the end-to-end lifecycle of AI models, from development and deployment to monitoring and optimization, ensuring that AI implementations remain scalable, reliable, and aligned with evolving business goals in a rapidly changing digital landscape.

India ModelOps Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the region/country level for 2025-2033. Our report has categorized the market based on offering, deployment, application, vertical, and model.

Offering Insights:

• Platforms
• Services

The report has provided a detailed breakup and analysis of the market based on the offering. This includes platforms and services.

Deployment Insights:

• Cloud
• On-premises

A detailed breakup and analysis of the market based on the deployment have also been provided in the report. This includes cloud and on-premises.

Application Insights:

• Continuous Integration/Continuous Deployment
• Batch Scoring
• Governance, Risk and Compliance
• Parallelization and Distributed Computing
• Monitoring and Alerting
• Dashboard and Reporting
• Model Lifecycle Management
• Others

The report has provided a detailed breakup and analysis of the market based on the application. This includes continuous integration/continuous deployment, batch scoring, governance, risk and compliance, parallelization and distributed computing, monitoring and alerting, dashboard and reporting, model lifecycle management, and others.

Vertical Insights:

• BFSI
• Retail and E-Commerce
• Healthcare and Life sciences
• IT and Telecommunications
• Energy and Utilities
• Manufacturing
• Transportation and Logistics
• Others

A detailed breakup and analysis of the market based on the vertical have also been provided in the report. This includes BFSI, retail and e-commerce, healthcare and life sciences, IT and telecommunications, energy and utilities, manufacturing, transportation and logistics, and others.

Model Insights:

• ML Models
• Graph-Based Models
• Rule and Heuristic Models
• Linguistic Models
• Agent-Based Models
• Others

A detailed breakup and analysis of the market based on the model have also been provided in the report. This includes ML models, graph-based models, rule and heuristic models, linguistic models, agent-based models, and others.

Regional Insights:

• North India
• South India
• East India
• West India

The report has also provided a comprehensive analysis of all the major regional markets, which include North India, South India, East India, and West India.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

India ModelOps Market News:

• March 2025: Cognite, backed by Saudi Aramco, opened its AI services center in Bengaluru, targeting ModelOps-driven innovation for industrial sectors. The initiative focuses on collaborations with leading Indian conglomerates, including major cement and automotive firms, to accelerate AI adoption and streamline ModelOps strategies for operational efficiency and smarter decision-making in real-time environments.
• April 2024: Aurionpro Solutions acquired a 67% stake in Arya.ai for INR 137.7 crore, aiming to transform its AI capabilities with ModelOps integration. By combining Arya.ai’s advanced AI cloud platform with Aurionpro’s enterprise solutions, the merger creates a robust ModelOps-focused AI platform tailored for global banks and insurers, streamlining deployment, governance, and lifecycle management of AI models.

India ModelOps Market Report Coverage:

Key Questions Answered in This Report:

• How has the India ModelOps market performed so far and how will it perform in the coming years?
• What is the breakup of the India ModelOps market on the basis of offering?
• What is the breakup of the India ModelOps market on the basis of deployment?
• What is the breakup of the India ModelOps market on the basis of application?
• What is the breakup of the India ModelOps market on the basis of vertical?
• What is the breakup of the India ModelOps market on the basis of model?
• What are the various stages in the value chain of the India ModelOps market? 
• What are the key driving factors and challenges in the India ModelOps market?
• What is the structure of the India ModelOps market and who are the key players?
• What is the degree of competition in the India ModelOps market? 

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 ModelOps market from 2019-2033.
• The research report provides the latest information on the market drivers, challenges, and opportunities in the India ModelOps 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 ModelOps 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.