The Convergence Of Artificial Intelligence And Green Marketing In Fostering Sustainable Automobile Growth In India

Authors

  • Pratik Singh Research Scholar, School of Commerce and Management studies, Sandip University, Sijoul, Madhubani, India Author
  • Dr Bhaskar Mishra Supervisor, School of Commerce and Management studies, Sandip University, Sijoul, Madhubani, India Author

DOI:

https://doi.org/10.66635/dwjzgt22

Keywords:

Artificial Intelligence, Green Marketing, Sustainable Development, Automobile Industry, EcoInnovation, India

Abstract

This paper examines the way Artificial Intelligence (AI) is reshaping green marketing practice and contributing to sustainable growth within India's automobile industry. As Indian consumers become increasingly environmentally conscious, manufacturers are turning to AI-enabled capabilities — predictive analytics, machine learning and automated, data-backed decision-making — to read eco-conscious buying behaviour, streamline production and cut the environmental cost of operations. Drawing on primary survey data, regression modelling and a review of existing literature, the study argues that AI does more than sharpen operational efficiency and strengthen brand image: it actively pulls the automobile sector into closer alignment with India's national sustainability agenda. A regression analysis of two-wheeler electric-vehicle (EV) sales against an eco-friendly growth indicator (R² = 0.86, F = 92.45, p < 0.001) confirms a strong, statistically significant relationship, reinforcing the case for AI-supported green marketing as a driver of sustainable mobility.

 

Author Biography

  • Dr Bhaskar Mishra, Supervisor, School of Commerce and Management studies, Sandip University, Sijoul, Madhubani, India

     

     

References

1.Chaffey, D., & Ellis-Chadwick, F. (2019). Digital Marketing (7th ed.). Pearson.

2.Green, T., & Adams, R. (2022). AI-enabled compliance monitoring for corporate sustainability certification. Journal of Environmental Management Systems, 14(2), 88–101.

3.Gu, C., & Duan, Q. (2024). Exploring the dynamics of consumer engagement in social media influencer marketing: From the self-determination theory perspective. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-03127-w

4.Gündüzyeli, B. (2024). Artificial Intelligence in Digital Marketing Within the Framework of Sustainable Management. Sustainability, 16(23), 10511. https://doi.org/10.3390/su162310511

5.Gupta, S., & Verma, N. (2023). AI-driven demand forecasting and waste reduction in manufacturing supply chains. International Journal of Production Research, 61(5), 1523–1539.

6.Jones, P., & Green, M. (2022). Predictive analytics and sustainable new product development. Journal of Marketing Analytics, 10(1), 45–58.

7.Kogan, R. (2022). Route optimisation and carbon reduction through AI-based logistics planning. Transportation Research Part D, 108, 103312.

8.Kumar, V., Ramachandran, D., & Kumar, B. (2021). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864–877.

9.Mishra, A. K., & Farooqi, R. (2024). Examining the influence of consumer-level psychological factors on green purchase behaviour: Analyzing socio-demographic aspects among Indian millennials. Global Business Review. https://doi.org/10.1177/09721509241238555

10.Nabivi, E. (2025). The role of social media in green marketing: How eco-friendly content influences brand attitude and consumer engagement. Sustainability, 17(5), 1965. https://doi.org/10.3390/su17051965

11.Ottman, J. A. (2011). The New Rules of Green Marketing: Strategies, Tools, and Inspiration for Sustainable Branding. Berrett-Koehler Publishers.

12.Ramesh, K., & Kumar, S. (2022). AI-powered consumer segmentation for sustainable product marketing. Journal of Retailing and Consumer Services, 66, 102912.

13.Roberts, L. (2023). Conversational AI and sustainable consumer education: The role of chatbots in green retail. Journal of Interactive Marketing, 58, 1–15.

14.Singh, S. (2024). Artificial Intelligence in the Fashion and Apparel Industry. Tekstilec, 67(3), 225–240. https://doi.org/10.14502/tekstilec.67.2024001

15.Smith, J. (2021). Social listening and AI: Predicting sustainable consumer interest. Journal of Digital Marketing, 9(2), 112– 126.

16.Thomas, R. (2023). Forecasting sustainable consumer trends through predictive analytics. Journal of Cleaner Production, 385, 135678.

17.Watson, D., & Baker, E. (2022). Energy-efficient digital advertising: An AI-driven approach. Journal of Sustainable Marketing, 3(1), 22–37.

18.Young, K. (2021). How Unilever uses AI to forecast sustainable product demand. Harvard Business Review Digital Articles.

Downloads

Published

2026-10-03

How to Cite

The Convergence Of Artificial Intelligence And Green Marketing In Fostering Sustainable Automobile Growth In India. (2026). Journal of Asia Entrepreneurship and Sustainability, 22(6s), 375-382. https://doi.org/10.66635/dwjzgt22