Region:Asia
Author(s):Rebecca
Product Code:KRAB4151
Pages:95
Published On:October 2025

By Type:The market is segmented into Rule-Based Systems, Machine Learning-Based Systems, Natural Language Processing (NLP) Systems, Generative AI-Based Systems, and Hybrid AI Systems. These systems are central to automating customer interactions and optimizing service efficiency. Machine Learning-Based Systems currently dominate the market, owing to their capacity to learn from large datasets, continuously improve performance, and deliver highly accurate responses to customer queries. Generative AI-Based Systems and NLP Systems are also experiencing rapid growth, driven by advancements in large language models and conversational AI .

By End-User:The end-user segmentation includes Retail & E-commerce, Banking, Financial Services & Insurance (BFSI), Telecommunications, Healthcare, Travel & Hospitality, and Government & Public Sector. The BFSI sector leads the market, driven by the need for robust, scalable AI solutions to manage high volumes of customer inquiries and complex transactions. Retail & E-commerce and Telecommunications are also significant adopters, leveraging GenAI to deliver personalized customer experiences and automate support workflows. Healthcare and Travel & Hospitality sectors are increasingly utilizing GenAI for multilingual support and real-time assistance .

The India GenAI in Customer Support Market is characterized by a dynamic mix of regional and international players. Leading participants such as Tata Consultancy Services, Infosys, Wipro, HCL Technologies, Tech Mahindra, Zensar Technologies, Cognizant Technology Solutions, Accenture, IBM India, Capgemini, Uniphore, Mphasis, Genpact, Freshworks, Yellow.ai, Sprinklr, Haptik (Jio Haptik Technologies Limited), Zendesk India, Salesforce India, Gupshup contribute to innovation, geographic expansion, and service delivery in this space.
The future of the GenAI in customer support market in India appears promising, driven by technological advancements and evolving consumer preferences. As businesses increasingly adopt AI-driven solutions, the focus will shift towards enhancing personalization and efficiency in customer interactions. Moreover, the integration of predictive analytics will enable companies to anticipate customer needs, further improving service quality. With ongoing investments in AI technologies, the market is poised for significant transformation, fostering a more responsive and customer-centric approach in the coming years.
| Segment | Sub-Segments |
|---|---|
| By Type | Rule-Based Systems Machine Learning-Based Systems Natural Language Processing (NLP) Systems Generative AI-Based Systems Hybrid AI Systems |
| By End-User | Retail & E-commerce Banking, Financial Services & Insurance (BFSI) Telecommunications Healthcare Travel & Hospitality Government & Public Sector |
| By Region | North India South India East India West India |
| By Technology | Cloud-Based Solutions On-Premise Solutions API-Based Integrations |
| By Application | Customer Query Resolution Feedback Collection & Sentiment Analysis Order Tracking & Status Updates Knowledge Base Automation Multilingual Support |
| By Investment Source | Private Investments Government Funding Venture Capital Corporate Innovation Funds |
| By Policy Support | Government Subsidies Tax Incentives Grants for AI Development Regulatory Sandboxes |
| Scope Item/Segment | Sample Size | Target Respondent Profiles |
|---|---|---|
| Telecom Customer Support | 100 | Customer Support Managers, AI Implementation Leads |
| E-commerce Customer Engagement | 110 | Operations Managers, Customer Experience Directors |
| Banking and Financial Services | 80 | IT Managers, Customer Support Executives |
| Healthcare Customer Interaction | 60 | Patient Experience Managers, IT Directors |
| Retail Customer Service Automation | 90 | Store Managers, Customer Support Analysts |
The India GenAI in Customer Support Market is valued at approximately USD 1.3 billion, reflecting significant growth driven by the adoption of generative AI technologies that enhance operational efficiency and customer experience.