AI to power India’s $2 trillion retail sector by 2030: Deloitte report

India's retail landscape, currently valued at approximately $1 trillion, is on course to nearly double, reaching an estimated $1.9 trillion by the year 2030. This significant growth is largely attributed to the integration of artificial intelligence (AI), as highlighted in Deloitte's recent report titled "AI in Retail for the Agentic Era: Aspiration to Action." The report underscores the shift of AI from being a supplementary tool to becoming a central component of enterprise strategies. Retailers are increasingly moving beyond initial pilot projects and proofs of concept, fully embedding AI technologies to enhance customer experiences, tailor offerings, and streamline supply chains. Anand Ramanathan, Partner and Consumer Industry Leader at Deloitte India, emphasized the urgency of embracing AI, stating, "AI is a catalyst for reimagining retail, and the time to lead this transformation is now." Several key factors are driving the adoption of AI within the retail sector. Firstly, the demand for seamless integration between online and offline shopping experiences is rising, as consumers expect hyper-personalized engagement across all channels. Additionally, the e-commerce sector in India is projected to reach ₹27 trillion by 2030, spurred by the rapid growth of quick commerce and social commerce, both of which are accelerating the need for AI. Moreover, the expected quintuple increase in super-rich households by 2030 is set to fuel demand for premium products and customized retail experiences. Urbanization also plays a crucial role, with projections indicating that 40% of India's population will reside in cities by 2030, leading to changing consumption patterns that retailers must adapt to. Notably, Gen Z's projected spending power of $250 billion by 2025 is further driving the shift towards AI-driven, digital-first retail solutions. Currently, there are numerous practical applications of AI in the retail sector. These include generative AI-powered shopping assistants on e-commerce platforms providing real-time product recommendations, AI algorithms in food delivery apps offering personalized meal suggestions, and retail giants employing AI to optimize their supply chains and product assortments. Additionally, smart stores and digital twins are being utilized to simulate layouts, enhancing sales efficiency. Deloitte anticipates that India's AI spending will triple from the current $7–8 billion in FY23 to an impressive $20–22 billion by FY27, reflecting an annual growth rate of 30–35%. This investment surge is expected to yield significant benefits in three main areas: improving operational efficiency through automation, enhancing customer experiences with personalized journeys, and providing data-driven insights for quicker decision-making. Despite these advancements, challenges remain. Retailers must navigate high implementation costs, data privacy issues, and the complexities of integrating legacy systems. To overcome these hurdles, Deloitte recommends several strategies: investing in infrastructure that is ready for AI, fostering cross-functional collaboration, prioritizing responsible AI practices, enhancing personalization and automation, and adopting a test-and-learn approach to assess impacts effectively.