Growth of mHealth apps for autism spectrum disorder: an analysis of the last 10 years

Authors

DOI:

https://doi.org/10.25118/2763-9037.2026.v16.1689

Keywords:

Autism Spectrum Disorder, Mobile Applications, Health Informatics, Pediatrics, ASD

Abstract

Introduction: Mobile applications for autism spectrum disorder (ASD) have expanded, but their evolution remains unclear. Objective: To analyze the evolution and characteristics of ASD-related apps on the Google Play Store over the last 10 years. Methods: Cross-sectional study using the terms “autism”, “ASD”, “autismo”, and “TEA”. Included apps targeted pediatric populations with health-related purposes and available release dates. Results: Of 246 apps identified, 126 were included. A progressive increase was observed, peaking in 2025 (27 apps). Main categories were communication (52), education (37), and caregiver support (32). Most apps had low (57) or medium (43) downloads. Communication apps reached up to 5,000,000 downloads. 54% were free with no in-app purchases. Conclusions: ASD-related apps increased substantially, mainly focusing on communication and education, with considerable heterogeneity.

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Author Biographies

Daniel Alves de Oliveira, Universidade Federal do Rio Grande do Norte

http://lattes.cnpq.br/4047757287124958
Mestrando, Universidade Federal do Rio Grande do Norte, UFRN, Natal, RN, Brasil

João Carlos Alchieri, Universidade Federal do Rio Grande do Norte

http://lattes.cnpq.br/1325459110950508

https://orcid.org/0000-0002-4150-8519
Professor, Departamento de Psicologia na Universidade Federal do Rio Grande do Norte, UFRN, Natal, Brasil

References

1. Gallardo Montes CP, Rodríguez Fuentes A, Caurcel Cara MJ. Apps for people with autism: Assessment, classification and ranking of the best. Technol Soc. 2021;64:101474. https://doi.org/10.1016/j.techsoc.2020.101474

2. Kuzagbe CC, Mukarage F, Adams SN, Douha NYR, Luhanga ET. Content and Quality Analysis of mHealth Apps for Feeding Children with Autism Spectrum Disorder [Preprint]. arViv; 2025. https://doi.org/10.48550/arXiv.2509.18716

3. Haoues M, Mokni R. Toward an autism-friendly environment based on mobile apps user feedback analysis using deep learning and machine learning models. PeerJ Comput Sci. 2023;9:e1442. https://doi.org/10.7717/peerj-cs.1442 PMid:37705619 PMCid:PMC10495947

4. Grosvenor LP, Croen LA, Lynch FL, Marafino BJ, Maye M, Penfold R, Simon GE, Ames JL. Autism diagnosis among US children and adults, 2011-2022. JAMA Netw Open. 2024;7(10):e2442218. https://doi.org/10.1001/jamanetworkopen.2024.42218 PMid:39476234 PMCid:PMC11525601

5. Rehman IU, Sobnath D, Nasralla MM, Winnett M, Anwar A, Asif W, Sherazi HHR. Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI. Diagnostics. 2021;11(10):1923. https://doi.org/10.3390/diagnostics11101923 PMid:34679621 PMCid:PMC8535154

6. Al-Saadi AM, Al-Thani D. Mobile Application to identify and recognize emotions for children with autism: A systematic review. Front Child Adolesc Psychiatry. 2023;2:1118665. https://doi.org/10.3389/frcha.2023.1118665 PMid:39839587 PMCid:PMC11748806

7. Toma MV, Turcu CE, Turcu CO, Vlad S, Tiliute DE, Pascu P. Extended Reality-Based Mobile App Solutions for the Therapy of Children With Autism Spectrum Disorders: Systematic Literature Review. JMIR Serious Games. 2024;12:e49906. https://doi.org/10.2196/49906 PMid:38373032 PMCid:PMC10913001

8. Stathopoulou A, Loukeris D, Karabatzaki Z, Politi E, Salapata Y, Drigas A. Evaluation of Mobile Apps Effectiveness in Children with Autism Social Training via Digital Social Stories. Int J Interact Mob Technol. 2020;14(3):4-18. https://doi.org/10.3991/ijim.v14i03.10281

9. Gama B, Laher S. Self‑help: a Systematic Review of the Efficacy of Mental Health Apps for Low‑ and Middle‑Income Communities. J Technol Behav Sci. 2024;9:428-39. https://doi.org/10.1007/s41347-023-00360-z

10. Adnyani LDS, Munir A. Augmentative and Alternative Communication for Autism Spectrum Disorders Children's Language and Communication. Parole: J Linguist Educ. 2022;12(2):198-205 https://doi.org/10.14710/parole.v12i2.198-205

11. Griffith SF, Hagan MB, Heymann P, Heflin BH, Bagner DM. Apps As Learning Tools: A Systematic Review. Pediatrics. 2020;145(1):e20191579. https://doi.org/10.1542/peds.2019-1579 PMid:31871246

12. Somerton M. Developing an educational app for students with autism. Front Educ. 2022;7:998694. https://doi.org/10.3389/feduc.2022.998694

13. Reddy K, Taksande A, Kurian B. Harnessing the Power of Mobile Phone Technology: Screening and Identifying Autism Spectrum Disorder With Smartphone Apps. Cureus. 2024;16(2):e55004. https://doi.org/10.7759/cureus.55004

Published

2026-10-08

How to Cite

1.
Oliveira DA de, Alchieri JC. Growth of mHealth apps for autism spectrum disorder: an analysis of the last 10 years. Debates Psiquiatr. [Internet]. 2026 Oct. 8 [cited 2026 Oct. 10];16:1-13, e1689. Available from: https://revistardp.org.br/revista/article/view/1689

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Original Articles

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