Religious Tourism and Artificial Intelligence in Economic Development: Opportunities and Challenges
DOI:
https://doi.org/10.31305/trjtm2026.v06.n02.007Keywords:
Religious Tourism, Artificial Intelligence, Economic Development, Crowd Management, Smart MobilityAbstract
Religious tourism remains a vital and comparatively stable contributor to global economic development, fostering employment, infrastructure investment, and cultural preservation. This study explores how artificial intelligence (AI) transforms religious tourism by enhancing operational efficiency and personalizing the pilgrim experiences. AI applications in this sector focus on managing large crowds and mobility during mega-pilgrimage events, such as the Hajj and Umrah in Saudi Arabia, and providing faith-sensitive recommender systems and conversational agents. Case studies from Saudi Arabia and Ayodhya, India, demonstrate AI’s role in enabling safe visitor capacity expansion and driving rapid economic growth through infrastructure and service development. Broader econometric evidence links AI adoption to tourism sector growth and sustainability. However, challenges remain regarding cultural authenticity, data privacy, equitable access, and adaption of AI solutions to the contexts of developing countries. Addressing these issues through inclusive design and governance is essential for realizing AI’s full potential of AI in religious tourism. Future research should focus on isolating the economic impact of specific AI interventions at diverse pilgrimage destinations.
References
Alamoudi, A., & Abed, S. (2020). Forecasting The Number of International Muslims Umrah Visitors in Makkah to 2030. International Journal of Advanced Engineering Research and Applications, 6(08), 137–148. https://doi.org/10.46593/ijaera.2020.v06i08.001
Al-Dhaher, M., Al-Harbi, A., Janbi, N. F., Alqahtany, S., Almazroi, A. A., & Mehmood, R. (2025). Enhancing Pilgrimage Safety and Efficiency in Makkah and Madinah Using AI and Edge Computing. 1–9. https://doi.org/10.1109/aiit63112.2025.11082782
Alharbi, A., Pandit, A., Rosenberger Iii, P. J., & Miah, S. (2025). Understanding AI-enabled conversational agent customer experiences in religious tourism. In Journal of Islamic Marketing (Vol. 16, Issue 9, pp. 2569–2595). Emerald Group Publishing Ltd. https://doi.org/10.1108/jima-07-2024-0309
Alkhouri, K. I. (2024). The Role of Artificial Intelligence in the Study of the Psychology of Religion. Religions, 15(3), 290. https://doi.org/10.3390/rel15030290
Andrianto, T., Tangit, T. M., & Minh, N. C. (2025). Adoption of Artificial Intelligence (AI) Technology in Enhancing Tourist Experience: A Conceptual Model. Journal of Tourism, Hospitality and Travel Management, 3(1), 53–66. https://doi.org/10.58229/jthtm.v3i1.302
Anton, E., Anton, B., & Feron, E. (2025). Digital tools for dense crowds management. 23–34. https://doi.org/10.5121/csit.2025.152503
Battour, M., Mady, K., Elsotouhy, M., Salaheldeen, M., Elbendary, I., Marie, M., & Elhabony, I. (2021). Artificial Intelligence Applications in Halal Tourism to Assist Muslim Tourist Journey (pp. 861–872). Springer. https://doi.org/10.1007/978-3-030-85990-9_68
Binsawad, M., & Albahar, M. (2022). A Technology Survey on IoT Applications Serving Umrah and Hajj. Applied Computational Intelligence and Soft Computing, 2022, 1–10. https://doi.org/10.1155/2022/1919152
Budovich, L. S. (2023). The impact of religious tourism on the economy and tourism industry. HTS Teologiese Studies / Theological Studies, 79(1). https://doi.org/10.4102/hts.v79i1.8607
Choe, J. (2024). Religious tourism. Tourism Geographies, 27(3–4), 830–839. https://doi.org/10.1080/14616688.2024.2423168
Danarta, A., Pradana, M. Y. A., Abror, I., & Yahya, N. E. P. S. (2024). Encouraging Religion and Sustainable Tourism as a Conception of Indonesian Halal Tourism Development. Revista de Gestão Social e Ambiental, 18(7), e05920. https://doi.org/10.24857/rgsa.v18n7-073
Debesh Bhowmik (2026), Religion, tourism and development, International Journal of Advanced Research (IJAR), 14 (03), 1520-1529, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/23139
Duarte, L., Torres, J., Ribeiro, V., & Moreira, I. (2020). Artificial Intelligence Systems applied to tourism: A Survey. Cornell University. European Society for Socially Embedded Technologies. https://doi.org/10.48550/arxiv.2010.14654
Edge, P. W., & Rajan, M. (2020). Sacred Sites and State Failures: A Case Study of the Babri Masjid/Ram Temple Dispute in Ayodhya. Hart. https://doi.org/10.5040/9781509926367.ch-013
Erdős, F., Thinakaran, R., Firuza, B., & Koloszár, L. (2025). The rise of ai in tourism - a systematic literature review. Geojournal of Tourism and Geosites, 60(Suppl 2), 1254–1265. https://doi.org/10.30892/gtg.602spl22-1498
Garg, R. (2025). Assessing tourism contribution to economic growth: A global analysis. Commercia, 1(1), 251007. https://doi.org/10.5281/zenodo.14989524
George, R. (2025). Faith in the Digital Age: Exploring the Changing Diaspora of Religious Tourism (pp. 119–137). Emerald. https://doi.org/10.1108/978-1-83662-260-420251009
Giguashvili, G., & Sadagashvili, M. (2025). The role of artificial intelligence in the development of smart tourism. Innovative Economics and Management, 12(3), 119–128. https://doi.org/10.46361/2449-2604.12.3.2025.119-128
Guriţă, D., & Scortescu, F. I. (2023). Religious Tourism and Sustainable Development of the Economy in the Context of Globalization in the Northeast Area of Romania. Sustainability, 15(16), 12128. https://doi.org/10.3390/su151612128
Işık, C., Islam, H., Ongan, S., Şengöz, A., & Usanmaz, B. (2025). Artificial intelligence (AI) interacted ESG-based sustainable tourism: Economic insights. Tourism Economics, 32(4), 748–769. https://doi.org/10.1177/13548166251346306
Khan, N. A. (2024). Artificial intelligence, self-efficacy and engagement in religious tourism: evidence from Arbaeen pilgrimage. Journal of Hospitality and Tourism Insights, 7(3), 1660–1678. https://doi.org/10.1108/jhti-10-2023-0725
Khandagale, P. (2026). Smart Travel Assistance using Artificial Intelligence. International Journal of Advanced Research in Science Communication and Technology, 53. https://doi.org/10.48175/ijarsct-31909
Kulshrestha, T., Niyogi, R., Misra, M., & Patel, D. (2017, August 1). Smart pilgrim: A mobile-sensor-cloud based system to safeguard pilgrims through smart environment. https://doi.org/10.1109/ic3.2017.8284304
Mannickathan, G. P., I, M. T., & Shamsu, A. M. (2025). Advanced AI-Driven Predictive Framework for Dynamic Crowd Flow Management and Congestion Mitigation in High-Density Environments. 1–15. https://doi.org/10.1109/iciteics64870.2025.11341291
Pinheiro, A. B., Pinto, A. S., Abreu, A., Costa, E., & Borges, I. (2020). The Impact of Artificial Intelligence on the Tourism Industry: A Systematic Review (pp. 458–469). Springer Singapore. https://doi.org/10.1007/978-981-33-4256-9_42
Raj, R., & Griffin, K. (2020). Reflecting on the impact of COVID-19 on religious tourism and pilgrimage. International Journal of Religious Tourism and Pilgrimage, 8(7), 1–8. https://doi.org/10.21427/8f91-6z16
Rautela, S., Sharma, A., & Panackal, N. (2025). Exploring the sacred-unravelling the growth and development of religious tourism in Islamic culture: a bibliometric analysis. Cogent Business & Management, 12(1). https://doi.org/10.1080/23311975.2025.2482020
Saba Farheen, N. S., Badiger, C. S., Kishore, L., Dheeraj, V., & Rajendran, S. R. (2024). A Future Look at Artificial Intelligence in the World of Tourism (pp. 1–16). Igi Global. https://doi.org/10.4018/979-8-3693-3310-5.ch001
Sheta, A. (2025a). AI Solutions for Enhancing the Pilgrim Journey: Predictive Models for Crowd Flow Management and Real-Time Guidance. Journal of Computer Science and Information Technology, 2(2), 34–46. https://doi.org/10.61424/jcsit.v2i2.537
Sheta, A. (2025b). Intelligent Recommender Systems for Religious Tourism: Personalizing Services to Improve Experience and Economic Impact. International Journal of Applied Science and Research, 08(06), 68–77. https://doi.org/10.56293/ijasr.2025.6807
Siddik, A. B., Forid, M. S., Yong, L., Du, A. M., & Goodell, J. W. (2025). Artificial intelligence as a catalyst for sustainable tourism growth and economic cycles. Technological Forecasting & Social Change, 210, 123875. https://doi.org/10.1016/j.techfore.2024.123875
Singh, A. (2025). Integrating Artificial Intelligence in Enhancing Cultural Tourism Experiences (pp. 23–40). Igi Global. https://doi.org/10.4018/979-8-3693-3196-5.ch002
Song, D., & Chen, H. (2025). Artificial Intelligence as a Catalyst for Sustainable Tourism: A Case Study from China. Systems, 13(5), 333. https://doi.org/10.3390/systems13050333
Soundarya, M., Nancy Deborah, R., Sivakarthi, G., & Vinora, A. (2024). Artificial Intelligence in Tourism (pp. 41–64). Igi Global. https://doi.org/10.4018/979-8-3693-3715-8.ch003
Sultana, S. (2025). The Role of Artificial Intelligence in Sustainable Tourism (pp. 162–182). Routledge. https://doi.org/10.4324/9781003545125-11
Talukder, M. B., Khan, M. R., Kumar, S., Singh, K., & Lina, F. Y. (2025). AI Strategies for Tourism Development in Emerging Markets (pp. 117–138). Igi Global. https://doi.org/10.4018/979-8-3373-2058-8.ch007
Vij, S., Singh, P., & Kulshrestha, R. (2024). Technology-Powered Pilgrimage Innovations (pp. 485–508). Igi Global. https://doi.org/10.4018/979-8-3693-7898-4.ch023
Wijesekara, C., Tittagalla, C., Jayathilaka, A., Ilukpotha, U., Jayathilaka, R., & Jayasinghe, P. (2022). Tourism and economic growth: A global study on Granger causality and wavelet coherence. PLoS ONE, 17(9), e0274386. https://doi.org/10.1371/journal.pone.0274386
Yadav, S. J., & Bhupathi, M. M. (2025). Religious Tourism, Economic Behavior, and Global Change (pp. 399–418). Igi Global Scientific. https://doi.org/10.4018/979-8-3373-1727-4.ch017
Zhizhileva, K. A. (2024). The Role of Artificial Intelligence in the Culture of the Tourism Industry of the Modern World. Design. Art. Industry, 11, 72–78. https://doi.org/10.56900/2312-6116_2024_11_72
Zimik, A. S. S., & Barman, A. (2024). Next dynamics in designing artificial intelligence to support tourism development. International Journal of Engineering Technologies and Management Research, 11(6). https://doi.org/10.29121/ijetmr.v11.i6.2024.1465