AI-Driven Sustainability Trends in Textile and Fashion Design: Global Research Patterns from 2019–2025

Abstract

This study conducts a bibliometric analysis of the intersection between sustainability and artificial intelligence (AI) in the textile and fashion design sector from 2019 to 2025. Based on 939 English-language publications indexed in Scopus, it examines growth patterns, international collaborations, and thematic trends. Findings show a sharp rise in scientific output since 2019, with citations peaking at 3,609 in 2024 and remaining high at 3,373 in 2025. India (207 publications) and China (148) lead in output, while China (1,968 citations) and the United States (1,343) achieve the greatest impact. Keyword mapping using VOSviewer identifies “machine learning,” “artificial intelligence,” and “sustainability” as core themes, linked to “circular economy,” “sustainable fashion,” “digital twin,” “smart textiles,” and “waste management.” These trends highlight the integration of AI tools—such as recommendation systems, digital twins, and data analytics—into sustainable practices. Overall, the results indicate a strategic digital transformation in textile and fashion, where AI-based solutions optimize production, enhance supply chain traceability, support eco-friendly material innovation, and foster interdisciplinary collaboration across material science, environmental engineering, and data analytics.

Keywords

• Artificial Intelligence
• Machine Learning
• Sustainable Fashion
• Textile Design

Tekstil ve Moda Tasarımında Sürdürülebilirlik ve Yapay Zekâ Etkileşimi: 2019–2025 Arası Küresel Araştırma Eğilimleri

Abstract

Bu çalışma, 2019–2025 yılları arasında tekstil ve moda tasarımı sektöründe sürdürülebilirlik ile yapay zekâ (YZ) arasındaki kesişimi bibliyometrik açıdan incelemektedir. Scopus’ta dizinlenen 939 İngilizce yayına dayanarak büyüme eğilimleri, uluslararası iş birlikleri ve tematik araştırma alanları analiz edilmiştir. Bulgular, 2019’dan itibaren bilimsel çıktılarda keskin bir artış olduğunu göstermekte; atıf sayıları 2024 yılında 3.609 ile zirveye ulaşmış ve 2025’te 3.373 gibi yüksek bir seviyede kalmıştır. Yayın sayısında Hindistan (207) ve Çin (148) önde gelirken, atıf etkisinde Çin (1.968) ve Amerika Birleşik Devletleri (1.343) başı çekmektedir. VOSviewer ile yapılan anahtar kelime eşleşmesi analizinde “makine öğrenmesi”, “yapay zekâ” ve “sürdürülebilirlik” temel temalar olarak belirlenmiş; bunların “döngüsel ekonomi”, “sürdürülebilir moda”, “dijital ikiz”, “akıllı tekstiller” ve “atık yönetimi” ile güçlü bağlantılar kurduğu görülmüştür. Bu eğilimler, öneri sistemleri, dijital ikizler ve veri analitiği gibi YZ araçlarının sürdürülebilirlik uygulamalarına entegre edildiğini ortaya koymaktadır. Genel olarak sonuçlar, tekstil ve moda alanında stratejik bir dijital dönüşüm yaşandığını; YZ tabanlı çözümlerin üretimi optimize ettiğini, tedarik zinciri izlenebilirliğini artırdığını, çevre dostu malzeme inovasyonunu desteklediğini ve malzeme bilimi, çevre mühendisliği ve veri analitiği gibi disiplinler arası iş birliklerini güçlendirdiğini göstermektedir.

Keywords

• Yapay Zekâ
• Makine Öğrenmesi
• Sürdürülebilir Moda
• Tekstil Tasarımı

References

1. [1] K. Niinimäki, L. Hassi, Emerging design strategies in sustainable production and consumption of textiles and clothing, Journal of Cleaner Production, 19(16) (2011) 1876–1883. https://doi.org/10.1016/j.jclepro.2011.04.020
2. [2] C. E. Henninger, P. J. Alevizou, C. J. Oates, What is sustainable fashion?, Journal of Fashion Marketing and Management, 20(4) (2016) 400–416. https://doi.org/10.1108/JFMM-07-2015-0052
3. [3] K. Fletcher, M. Tham, Earth Logic: Fashion Action Research Plan, The JJ Charitable Trust, London, U.K., (2019). ISBN 978-1-5272-5180-1.
4. [4] C. Glogar, Digital technologies in the sustainable design and apparel industry, Sustainability, 17(4) (2025) 1371. https://doi.org/10.3390/su17041371
5. [5] J. Bieńkowska, The effects of artificial intelligence on the fashion industry—Opportunities and challenges for sustainable transformation, Sustainable Development, 33(3) (2025) 3774–3790. https://doi.org/10.1002/sd.3312
6. [6] Y. Feng, H. Hao, H. Lu, C. L. Chow, D. Lau, Exploring the development and applications of sustainable natural fiber composites: A review from a nanoscale perspective, Composites Part B: Engineering, 276 (2024) 111369. https://doi.org/10.1016/j.compositesb.2024.111369
7. [7] A. Petrillo, M. Rehman, I. Baffo, Digital and sustainable transition in textile industry through Internet of Things technologies: A Pakistani case study, Applied Sciences, 14 (2024) 5380. https://doi.org/10.3390/app14135380
8. [8] M. C. Bermeo-Giraldo, A. Valencia-Arias, E. Martínez Rojas, S. Cardona-Acevedo, P. A. Rodríguez-Correa, J. D. González-Ruiz, W. Londoño-Celis, R. Bao García, Research agenda on the evolution of digital transformation in the textile sector: A bibliometric analysis and research trends, Journal of the Textile Institute, (2025). https://doi.org/10.1007/s43621-025-01091-2

9. [9] R. Nayak, R. Padhye, Artificial intelligence in the fashion and textile industry, in: R. Nayak, R. Padhye (Eds.), Automation in Garment Manufacturing, Woodhead Publishing, Cambridge, U.K., (2017) 133–152. https://doi.org/10.1016/B978-0-08-101211-6.00005-7
10. [10] D. S. Hernandez Manzo, Y. Jiang, E. Elyan, J. Isaacs, Artificial intelligence-based conversational agents used for sustainable fashion: Systematic literature review, International Journal of Human–Computer Interaction, 41(8) (2025) 4640–4652. https://doi.org/10.1080/10447318.2024.2352920
11. [11] M. Ramos, Artificial intelligence and sustainability in the fashion industry, SN Applied Sciences, 5(2) (2023) 278. https://doi.org/10.1007/s42452-023-05587-2
12. [12] H. Nisa, R. Van Amber, J. English, S. Islam, G. McCorkill, A. Alavi, A systematic review of reimagining fashion and textiles sustainability with AI: A circular economy approach, Applied Sciences, 15 (2025) 5691. https://doi.org/10.3390/app15105691
13. [13] P. Spyridis, D. Tsiktsiris, D. Kontogiorgos, Autonomous AI-enabled industrial sorting pipeline for advanced textile recycling, arXiv preprint, (2024). https://doi.org/10.48550/arXiv.2405.10696
14. [14] E. Faghih et al., A systematic literature review—AI-enabled textile waste classification, Sustainability, 17(10) (2025) 4264. https://doi.org/10.3390/su17104264
15. [15] S. Köhler, M. Pizzol, Technology assessment of blockchain-based technologies in the food supply chain, Journal of Cleaner Production, 269 (2020) 122193. https://doi.org/10.1016/j.jclepro.2020.122193
16. [16] T. M. Rausch, C. S. Kopplin, Bridge the gap: Consumers’ purchase intention and behavior regarding sustainable clothing, Journal of Cleaner Production, 278 (2021) 123882. https://doi.org/10.1016/j.jclepro.2020.123882
17. [17] S. Mohammadi, R. Kalhor, Smart fashion: A review of AI applications in the fashion & apparel industry, arXiv preprint, (2021). https://doi.org/10.48550/arXiv.2111.00905
18. [18] D. Candeloro, Towards sustainable fashion: The role of artificial intelligence—H&M, Stella McCartney, Farfetch, Moosejaw: A multiple case study, ZoneModa Journal, 10(2) (2021) 91–105. https://doi.org/10.6092/issn.2611-0563/11837
19. [19] R. Bick, E. Halsey, C. C. Ekenga, The global environmental injustice of fast fashion, Environmental Health, 17 (2018) 92. https://doi.org/10.1186/s12940-018-0433-7
20. [20] B. Rathore, Artificial intelligence in sustainable fashion marketing: Transforming the supply chain landscape, Emerging Issues in Public Relations and Management Journal, 8(2) (2019) 1–12. https://doi.org/10.56614/eiprmj.v8i2y19.363
21. [21] A. Açık, Moda tasarımı alanında yapay zekanın kullanımı ve sürdürülebilir modaya etkilerinin incelenmesi, Türk Journal of Fashion Design and Management, 6(3) (2024) 233–258. https://doi.org/10.54976/tjfdm.1407059
22. [22] G. C. Farfán Chilicaus et al., Digital transformation and sustainability in post pandemic supply chains: A global bibliometric analysis of technological evolution and research patterns (2020–2024), Sustainability, 17(7) (2025) 3009. https://doi.org/10.3390/su17073009
23. [23] M. Aria, C. Cuccurullo, bibliometrix: An R-tool for comprehensive science mapping analysis, Journal of Informetrics, 11(4) (2017) 959–975. https://doi.org/10.1016/j.joi.2017.08.007
24. [24] A. H. Alsharif, N. O. R. Z. M. D. Salleh, R. Baharun, Bibliometric analysis, Journal of Theoretical and Applied Information Technology, 98(15) (2020) 2948–2962.
25. [25] J. M. Merigó, J. B. Yang, A bibliometric analysis of operations research and management science, Omega, 73 (2017) 37–48.
26. [26] I. Passas, Bibliometric analysis: The main steps, Encyclopedia, 4(2) (2024).
27. [27] N. J. Van Eck, L. Waltman, Software survey: VOSviewer, a computer program for bibliometric mapping, Scientometrics, 84(2) (2010) 523–538. https://doi.org/10.1007/s11192-009-0146-3
28. [28] R. Farooq, A review of knowledge management research in the past three decades: A bibliometric analysis, VINE Journal of Information and Knowledge Management Systems, 54(2) (2024) 339–378.
29. [29] N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, W. M. Lim, How to conduct a bibliometric analysis: An overview and guidelines, Journal of Business Research, 133 (2021) 285–296.
30. [30] S. Ahmad, S. Miskon, R. Alabdan, I. Tlili, Towards sustainable textile and apparel industry: Exploring the role of business intelligence systems in the era of industry 4.0, Sustainability, 12(7) (2020) 2632.
31. [31] L. Alves, E. F. Cruz, S. I. Lopes, P. M. Faria, A. M. Rosado da Cruz, Towards circular economy in the textiles and clothing value chain through blockchain technology and IoT: A review, Waste Management and Research, 40(1) (2022) 3–23.
32. [32] B. E. Jin, D. C. Shin, Changing the game to compete: Innovations in the fashion retail industry from the disruptive business model, Business Horizons, 63(3) (2020) 301–311.
33. [33] E. S. Silva, F. Bonetti, Digital humans in fashion: Will consumers interact? , Journal of Retailing and Consumer Services, 60 (2021) 102430.
34. [34] B. Wang, L. Yan, Q. Fu, B. Kasal, A comprehensive review on recycled aggregate and recycled aggregate concrete, Resources, Conservation and Recycling, 171 (2021) 105565.
35. [35] Y. Feng, H. Hao, H. Lu, C. L. Chow, D. Lau, Exploring the development and applications of sustainable natural fiber composites: A review from a nanoscale perspective, Composites Part B: Engineering, 276 (2024) 111369.
36. [36] Z. Allam, S. E. Bibri, D. S. Jones, D. Chabaud, C. Moreno, Unpacking the ‘15-minute city’ via 6G, IoT, and digital twins: Towards a new narrative for increasing urban efficiency, resilience, and sustainability, Sensors, 22(4) (2022) 1369.
37. [37] Z. Allam, Z. A. Dhunny, On big data, artificial intelligence and smart cities, Cities, 89 (2019) 80–91.
38. [38] N. U. Huda, I. Ahmed, M. Adnan, M. Ali, F. Naeem, Experts and intelligent systems for smart homes’ transformation to sustainable smart cities: A comprehensive review, Expert Systems with Applications, 238 (2024) 122380.
39. [39] S. Babu Sanker, R. Baby, Phase change material based thermal management of lithium-ion batteries: A review on thermal performance of various thermal conductivity enhancers, Journal of Energy Storage, 50 (2022) 104606.
40. [40] X. Cao, Y. Xiong, J. Sun, X. Xie, Q. Sun, Z. L. Wang, Multidiscipline applications of triboelectric nanogenerators for the intelligent era of Internet of Things, Nano-Micro Letters, 15(1) (2023) 14.
41. [41] K. Dong, Z. L. Wang, Self-charging power textiles integrating energy harvesting triboelectric nanogenerators with energy storage batteries/supercapacitors, Journal of Semiconductors, 42(10) (2021) 101601.
42. [42] Z. Ding, Z. Chen, J. Liu, F. Evrendilek, Y. He, W. Xie, Co-combustion, life-cycle circularity, and artificial intelligence-based multi-objective optimization of two plastics and textile dyeing sludge, Journal of Hazardous Materials, 426 (2022) 128069.
43. [43] P. William, A. Y. A. B. Ahmad, A. Deepak, R. Gupta, K. K. Bajaj, R. Deshmukh, Sustainable implementation of artificial intelligence-based decision support system for irrigation projects in the development of rural settlements, International Journal of Intelligent Systems and Applications in Engineering, 12(3s) (2024) 48–56.
44. [44] S. Raman, S. Sharma, R. Gupta, Circular economy transitions in textile, apparel, and fashion: AI-based topic modeling and SDG mapping, Sustainability, 17(12) (2025) 5342. https://doi.org/10.3390/su17125342
45. [45] S. Karadayı-Usta, Role of artificial intelligence and augmented reality in fashion industry from consumer perspective: Sustainability through waste and return mitigation, Engineering Applications of Artificial Intelligence, 133 (2024) 108114. https://doi.org/10.1016/j.engappai.2024.108114
46. [46] S. Rautela, R. Singh, P. Kumar, Clothing brands’ sustainability practices: A bibliometric and thematic analysis, Administrative Sciences, 15(6) (2025) 221. https://doi.org/10.3390/admsci15060221