Tech Mahindra and ServiceNow expand partnership to take enterprise AI beyond pilots

In August 2026, Tech Mahindra and ServiceNow expanded their partnership through a multi-year agreement focused on helping enterprises move AI initiatives from pilots into production-scale deployments.

The companies stated that the expanded collaboration will combine Tech Mahindra’s industry, engineering and transformation capabilities with the ServiceNow AI Platform. This partnership will focus on developing industry-specific solutions, strengthening platform adoption and establishing governance frameworks to support enterprise AI programs.

The partnership will also target sectors including manufacturing, telecommunications, banking, financial services and insurance, media and technology. The companies also plan on establishing a dedicated AI and Innovation Centre of Excellence within Tech Mahindra’s ServiceNow practice. The center will also have a strong focus on deploying AI capabilities including ServiceNow AI Control Tower and ServiceNow EmployeeWorks, while the two companies will work with customers on transformation roadmaps and measuring business outcomes.

A key element of the collaboration will be their “Client Zero” approach, under which Tech Mahindra and the Mahindra and Mahindra Group will serve as enterprise environments for validating ServiceNow-based AI models before they are extended to other customers. Tech Mahindra has already deployed ServiceNow across its global IT operations, where the companies said it handles more than 100,000 cases per month across 90 countries. The focus is on moving enterprise AI adoption beyond experimentation and into operating environments where governance, workflows and business processes need to work together.

Impact on the ICT Market

Tech Mahindra is set to combine its industry, engineering and implementation capabilities with the ServiceNow AI Platform to develop automation and AI-led solutions for manufacturing, telecommunications, banking, financial services and insurance (BFSI), media and technology companies. The Pune-headquartered IT services firm will also scale its global ServiceNow practice and establish a dedicated AI and Innovation Centre of Excellence within the business. The center will focus on accelerating deployments of ServiceNow products, including AI Control Tower and EmployeeWorks.

The companies will jointly help customers develop transformation roadmaps, improve platform adoption, establish AI governance frameworks and measure business outcomes from deployments. The partnership is aimed at addressing a persistent challenge for enterprises: converting experimental AI projects into governed and repeatable business processes.

Impact on the Enterprise Data Management Market

The global enterprise data management market size is calculated at USD 124.93 billion in 2025 and is predicted to increase from USD 140.06 billion in 2026 to approximately USD 384.56 billion by 2035, at a CAGR of 11.90% from 2026 to 2035.

According to Precedence Research, the market growth is attributed to the increasing demand for scalable and efficient data management solutions. These solutions are very important in enabling real-time data access and integration to enable organizational efficiency in an advanced business environment. Furthermore, as growing organizations insist on cloud solutions, the market is expected to grow exponentially, owing to an increasing demand for flexible, secure, and easily accessible data storage services.

AI is also helping businesses in the enterprise data management market capture and process huge volumes of data faster, which helps them make decisions. The application of artificial intelligence improves the stewardship of data by maintaining the quality of data to be used in the formulation of strategies. Furthermore, AI contributes to analytical forecasting, which helps companies adapt in advance to alterations in the market or industry. They bring into play increased flexibility and adaptability, thus enabling organizations to cope with the rising tide of data-related competition.

Impact on the Artificial Intelligence as a Service Market

The global artificial intelligence as a service market size is estimated at USD 16.48 billion in 2025 and predicted to increase from USD 22.70 billion in 2026 to approximately USD 294.83 billion by 2035, expanding at a CAGR of 37.78% from 2025 to 2035.

According to Precedence Research, the market is quickly growing as today's businesses are adopting AI-enabled solutions on cloud platforms. Organizations are also increasingly leveraging AIaaS to improve automation, decision-making, and efficiency. The increase in the use of natural language processing (NLP), predictive analytics, and machine learning (ML) technologies/solutions in businesses is driving this demand. Due to its flexibility and cost structure, AIaaS is preferred in almost every industry and has the potential to transform the global economy digitally, thereby contributing to the continuing expansion of the global market.

Artificial Intelligence as a Service is rapidly gaining massive traction as businesses are increasingly adopting cloud-based AI platforms in order to identify and provide quick digital transformation. Companies are adopting AIaaS capabilities, such as predictive analytics, automation, NLP, and computer vision, with minimal investments in infrastructure. There is also a growing investment trend relating to the market growth of AI innovation and enterprise modernization.

Expert Opinion

“Enterprises are entering a new phase of AI adoption where the priority is no longer experimentation, but trusted execution at scale,” said Mohit Joshi, chief executive officer at Tech Mahindra. “To unlock meaningful business value, AI must be embedded into the systems, workflows, controls, and operating models where enterprise work actually happens.”

Joshi said the expanded partnership would bring together ServiceNow’s platform capabilities with Tech Mahindra’s industry context and transformation expertise to help customers operationalize AI with governance and measurable outcomes.