India’s marketers are projected to rake in significant revenue from AI-driven strategies, outpacing their global counterparts.
According to a recent survey by Boston Consulting Group (BCG), India has taken the lead globally in adopting AI-driven commerce strategies, with 53% of chief marketing officers (CMOs) expecting incremental gains. In contrast, only 20% of global CMOs hold the same optimism.
Agentic Commerce Revolution
Marketers in India are embracing a new approach to sales and customer engagement, leveraging AI to create personalized experiences and build stronger relationships with their customers. This shift towards agentic commerce has been made possible by advancements in AI technologies like generative AI.
Generative AI, which enables the creation of custom content, such as images and videos, is expected to continue driving growth for Indian marketers. By integrating AI-generated content into their marketing strategies, companies can save time and resources, while still delivering high-quality, personalized experiences to their customers.
Ownership of AI Investments
It’s worth noting that the marketing functions in India have greater ownership over AI investments compared to their global peers. This is a crucial factor in India’s lead in AI-driven revenue growth expectations. CMOs in India are more likely to take the reins on AI-related decisions, ensuring that their marketing strategies stay ahead of the curve.
However, there’s also a risk of misalignment between marketing and tech teams. This highlights the need for collaboration and clear communication between different departments to ensure that AI-driven initiatives are successful.
What this means
For Indian businesses, this trend presents both opportunities and challenges. On one hand, embracing AI-driven commerce strategies can lead to significant revenue growth and improved customer engagement. On the other hand, it requires significant investment in AI infrastructure, talent, and expertise.
To capitalize on these opportunities, Indian marketers must be willing to experiment with new AI-powered tools and strategies, while also ensuring that their teams have the necessary skills to execute these initiatives effectively.
