Millions of Indian children now spend more of their early years in front of a screen than in conversation. Clinics are reporting the consequences, but the country cannot yet put a number on them. This review sets out the evidence what we know, what we don't, and why it matters.
The Big Picture
Virtual autism" is a description, not a medical diagnosis.It is absent from the WHO’s International Classification of Diseases (ICD-11) and the American Psychiatric Association’s diagnostic manual (DSM-5), and no government system counts it.
Yet Indian studies keep finding the same pattern: children who spend a lot of time in front of screens early in life are more likely to show autism like delays in speech and social skills. For a country that depends on its young people, that is an economic question as much as a medical one.
| Key Takeaways | What the data show |
|---|---|
| The evidence | Screens and autism-like delay go together, a cause is not proven |
| India's count | No national figure; local autism studies range roughly 0.1%–1.4% |
| The single signal | In Latur, 2.08% of children showed autism-like symptoms, with higher rates among those using screens longer |
| Screen Exposure | Indian studies report around 2.2 hours of daily screen time among young children, against a 1-hour guideline for certain age groups. |
| Reversibility | Studies report improvements in children’s speech and social interaction following reduced screen exposure and developmental support. |
| The cost | Families pay 70–80% of disability-related expenses |
| The data gap | No reliable national estimate of screen-related developmental difficulties is available. |
What "virtual autism" means and what it doesn't
The term was first used in print by the Romanian psychologist Marius Zamfir in 2018, after he had used it at conferences from 2014, other researchers later took it up. It describes young children who show autism-like signs late speech, little eye contact, withdrawal, repetitive behaviour after heavy screen use, and whose symptoms are said to ease once screen time is cut. A related explanation was proposed in 2016, but that paper did not use the term.

The difference matters. Neither manual recognises "virtual autism." Autism is a lifelong condition that tends to run in families, "virtual autism" describes a pattern reported to fade with changes at home. A child can have both, which is why doctors assess each child properly rather than reach for a label, and why some clinicians prefer a plainer term "screen-related developmental delay" that avoids the loaded word "autism".
| Autism | “Virtual autism” | |
|---|---|---|
| Is it a diagnosis? | Yes in ICD-11 and DSM-5 | No, a description, with no code |
| Main cause | Genes and early brain development | Linked to heavy screen exposure and reduced interaction |
| When it appears | Early, often before age 3 | Reported in young children, usually ages 1–6 |
| How long it lasts | Lifelong | Some studies report improvement after reducing screen exposure and providing support |
| How it is judged | Standard clinical assessment tools | Similar assessment tools are used, no separate diagnostic criteria exist. |
Autism and “virtual autism” - key differences in diagnosis, causes and developmental outcomes.
How common is it in India?
There is no national count, only a handful of local studies, listed below. Recorded rates vary enormously, which reflects how thoroughly each place looks for autism more than how common it is; and the only estimate for the screen-linked pattern comes from a single district, in a poor-quality journal. Treat it as a warning sign, not a national rate.
| Study | Where | Children | What it found |
|---|---|---|---|
| Dongre et al. 2025 | Latur, Maharashtra | 2,932 | “Virtual autism” reported in 2.08% of children; higher rates among those with longer screen exposure |
| Arora et al. 2018 | Five regions across India | 3,964 | Autism 1.0–1.4%, any developmental delay 12% |
| Varadarajan et al. 2021 | Tamil Nadu | 718 | 73% exceeded recommended screen time, higher exposure linked to speech delays |
| Rudra et al. 2017 | Kolkata | 11,849 | Broader autism spectrum 0.23% |
| Raina et al. 2017 | Himachal Pradesh | 28,070 | Autism prevalence of 0.15% |
| Chauhan et al. 2019 | Review of 4 studies | 130,599 | Combined 0.09% urban, 0.11% rural |
Note: These studies used different age groups and assessment methods, so their findings are not directly comparable. Only the Latur study specifically examined the proposed screen-linked condition.
Do screens cause it? What the best studies say
The key question is whether more screen time makes autism-like delays more likely. Across several large studies, the two often appear together, but the evidence does not show that screen time itself is the cause. In one study, the association was seen only in boys. In another, it disappeared after accounting for factors such as family income and schooling. A third produced mixed results.
The pattern is there. The cause is not yet established.
| Study | What it found | What the authors cautioned |
|---|---|---|
| Japan, 84,000 children | An association in boys, but not girls | Could not rule out that the children were already developing differently |
| Australia, 5,100children | An early link disappeared | Family income and mother's education explained it |
| France, 13,000 children | A mixed pattern | Children’s existing developmental difficulties may influence screen use |
| US, 2,152 children | About 4% more autism-like symptoms | More symptoms, but no significant rise in actual diagnoses |
Precise statistical results appear in the source list. None of these studies establishes that screen time causes autism.
How much are Indian children watching?
Whatever the cause, children are watching a lot. Indian studies report an average of about 2.2 hours a day among young children, well above the advice of no screens before age two and at most an hour up to five. The state studies below run from under one child in five over the limit to nearly nine in ten. Doctors worry most about the first two years, when language and social skills form, clinicians report growing concerns about screen exposure, particularly since the pandemic, when phones and tablets became routine babysitters.
| Study | Region | Limit used | Over the limit | Average screen time |
|---|---|---|---|---|
| John et al. 2021 | Kerala | More than 1 hour | 89% | 2.1 h |
| Meena et al. 2020 | Delhi | More than 1 hour | 89% | 2.0 h |
| Varadarajan et al. 2021 | Tamil Nadu | WHO guideline | 73% | 2.4 h |
| Dhar et al. 2026 | Eastern India | More than 2 hours | 68% | 3.2 h |
| Singh et al. 2026 | Haryana (rural) | More than 1 hour | 51% | 1.1 h |
| Jain et al. 2023 | Ujjain, MP | More than 2 hours | 18% | Not reported |
The studies used different limits, so the figures are not directly comparable. Phones and televisions dominate across all of them.
Are homes connected?
National surveys do not ask how long children watch, they measure the groundwork, whether households have access to digital devices and whether adults use them. There, the change is unmistakable. Between NFHS-5 and NFHS-6, internet use among Indian women nearly doubled, while mobile phone ownership also increased. Digital access is expanding rapidly, but how much of that access translates into screen exposure among young children remains unknown.
| Women aged 15–49 | 2019–21 | 2023–24 | Change |
|---|---|---|---|
| Have ever used the internet | 33.3% | 64.3% | +31 points |
| - in villages | 24.6% | 58.6% | +34 points |
| - in cities | 51.8% | 77.3% | +26 points |
| Own a phone they use | 53.9% | 63.6% | +10 points |
These indicators measure women’s digital access, not children’s screen exposure.
Source · Source: National Family Health Survey, NFHS-5 (2019–21) and NFHS-6 (2023–24), Ministry of Health and Family Welfare.

Does it go away?
What makes “virtual autism” different is that its symptoms may improve over time. The evidence is thin, a few small studies, none with a comparison group, all listed below. Most report large improvements within months, particularly when support begins early. “Reversible” means symptoms eased once screens were cut and play and talk took their place, not that every child recovers, or that lifelong autism can be “cured.” That distinction matters, and the autistic community is right to defend it.
| Study | Children | What was done | Result |
|---|---|---|---|
| Dongre 2025 | 61 | Less screen time plus therapy | About 8 in 10 improved by at least half in 3 months |
| Nasir 2023 | 30 | Speech and behaviour therapy | 80% no longer met the behavioural criteria |
| Yadav 2024 | 13 | Speech-language therapy | 6 of 13 no longer scored as autistic |
| Babita 2024 | — | Parents cut screens and added play | 82% reported real improvement |
Note: All four studies were small, used different measures and had no comparison group, so the percentages are indicative only. None was randomised.
What already works
The approach is simple - less screen time, more human interaction. Studies in India and Pakistan have shown promising results from programmes where trained health workers guide parents in improving their children’s communication and social interaction. Early screening is also far less expensive than ongoing therapy. The Latur study reported screening costs of about US$15 per child, while families can spend tens of thousands of rupees each month on therapy. The challenge is not just funding, but also ensuring that children with developmental difficulties are identified early and receive the support they need.
Who actually treats it and where?
No single specialist can cure autism, and supporting children with developmental delays often requires a team. Developmental paediatricians and child psychiatrists assess and diagnose conditions, while speech therapists, occupational therapists and behavioural therapists provide support. Psychologists help assess children’s needs and guide families. The bigger challenge is access. Qualified specialists are limited and concentrated in cities, leaving rural families with fewer options. India’s public health system reaches children across the country, but specialist services remain a major gap.
| Role or resource | Availability | Source |
|---|---|---|
| Psychiatrists | 0.75 per 100,000 people | Garg et al. (2019), Indian Journal of Psychiatry |
| Audiologist and Speech Therapist | 17,228 registered professionals | RCI Annual Report 2024–25, p. 45 |
| Clinical psychologists | 4,451 registered professionals | RCI Annual Report 2024–25, p. 45 |
| Child & adolescent mental-health facilities | 139 | WHO Mental Health Atlas 2017, India Country Profile |
Methodology note: Figures represent different measures and reporting years and are not directly comparable. RCI figures are cumulative registrations, not verified numbers of actively practising professionals. The WHO figure is historical and should not be interpreted as the number of facilities currently operating.
Source · Rehabilitation Council of India, Annual Report 2024–25; WHO, Mental Health Atlas 2017; Garg et al. (2019), Indian Journal of Psychiatry.
The cost at home
Behind the statistics sits a quieter burden. In one Indian study of 45 families, two-thirds of parents reported depression, six in ten anxiety and seven in ten stress. Diagnosis is slow about eighteen months from a parent's first concern and the care that follows is largely unpaid work carried by mothers. The financial weight is heavy too: families cover most of the cost of disability themselves, often several times their income.
Sample: 45 families, Haryana
The burden and what the government counts
Autism is estimated to affect around 1% of children globally, but India has no reliable national estimate. Given its vast population, even a similar prevalence would translate into millions of people. Yet government disability surveys use broader categories and do not provide a clear count of autism cases. India still cannot say how many children show the developmental pattern described as “virtual autism” or how many of those children have autism itself.
| Location | State | Ages 2–<6 (%) | Ages 6–9 (%) |
|---|---|---|---|
| Palwal | Haryana | 1.7 | 1.9 |
| Kangra | Himachal Pradesh | 0.6 | 0.9 |
| Hyderabad | Telangana | 1.3 | 2.1 |
| Dhenkanal | Odisha | 0.6 | 1.0 |
| North Goa | Goa | 0.5 | 0.2 |
| All sites pooled | Five study sites | 1.0 | 1.4 |
Source · Arora et al., PLOS Medicine (2018).
Why the caseloads are rising faster than the condition
Clinicians in India’s big cities report a surge in children seeking developmental assessments since the pandemic. Some centres are seeing hundreds of children a year. The increase is significant, but rising clinic cases do not necessarily mean autism is becoming more common. Clinics mainly see children referred by doctors or brought in by concerned parents, not a representative sample of all children. Several factors may explain why autism diagnoses are rising, even though it remains unclear whether autism itself is becoming more common.
The supply side compounds it. India’s autism-therapy market is projected to grow from about ₹1,090 crore in 2025 to ₹1,893 crore by 2034, according to market research attributed to IMARC Group and CareEdge Research. Private clinics and therapy chains are expanding to meet growing demand, particularly in major cities where specialist services and paying families are concentrated. Globally, the trend is similar: market researchers estimate the speech-therapy services market at around US$41 billion in 2025, rising to US$83 billion by 2033. These are commercial estimates, but they describe a service industry expanding alongside rising demand for developmental assessment and therapy. More clinics mean more children can be assessed and diagnosed, particularly in cities where these services are concentrated.
The point: How many cases a city sees and how common autism is among children are different questions. India has some regional prevalence studies, but still lacks comprehensive national data to establish how autism rates are changing.
What the government is doing
Nowhere in official India is the term "virtual autism" used not in a press release, a parliamentary answer, a ministry report or a scheme rule. The language stays cautious: "excessive screen time," "digital addiction," "digital wellness." Yet the government is plainly acting on screens, as the measures below show. The activity is
real; the name and the count are missing.
| Measure | Who issued it | Year | What it does |
|---|---|---|---|
| Economic Survey 2025–26 | Ministry of Finance | 2026 | Identifies digital addiction as a public-health concern and highlights gaps in national data |
| Children’s device-use study | National Commission for Protection of Child Rights (NCPCR) | 2021* | Documents physical, behavioural and psychosocial concerns associated with children’s device use |
| Screen-time and digital-wellness guidelines | Indian Academy of Pediatrics (IAP) | 2022 | Recommends no screens under age 2, up to 1 hour daily for ages 2–4, and checks of screen habits during routine child-health visits |
| Proposed screen-time restrictions | Kerala State Commission for Protection of Child Rights | 2026 | Recommends age-based screen limits and restrictions on mobile phones in schools |
Source · Sources: government press releases (2026); Economic Survey 2025–26; National Commission for Protection of Child Rights (2022); Indian Academy of Pediatrics; Kerala. In 2026, health workers were also asked to monitor children's screen use in villages.
The data gap: India lacks comprehensive national data on autism prevalence and has no systematic mechanism to assess the extent to which excessive screen exposure is associated with autism-like developmental difficulties. The upcoming Census is unlikely to address this gap unless these conditions are specifically captured.
How other countries respond
Other countries have moved faster on regulating screens and developing autism strategies, though few have addressed screen-linked developmental delays directly. The table below sets out these measures, from WHO guidance to national restrictions. Several countries also operate active autism surveillance systems, while trials of early, parent-led interventions have shown modest but measurable benefits. An Australian economic evaluation of the iBASIS-VIPP programme has also examined the potential financial returns from early intervention.
| Where | What they do | Year |
|---|---|---|
| World Health Organization | Recommends no sedentary screen time for children under 2 and no more than 1 hour daily for ages 2–4 | 2019 |
| France | Prohibits screen exposure for children under 3 in childcare settings | 2025 |
| China | Proposed age-based screen-time limits for minors, alongside existing restrictions on online gaming | 2023–24 |
| Australia | Introduced social-media minimum-age legislation and its first National Autism Strategy | 2024–25 |
| United Kingdom | Autism Act 2009 establishes a framework for autism policy; Online Safety Act 2023 strengthens protections for children | 2009 / 2023 |
| United States | Conducts ongoing autism surveillance; recommends autism screening at 18 and 24 months | Ongoing |
| European Union | Digital Services Act introduces stronger online protections for minors | 2022–24 |
Evaluations are limited, and East Asian time limits have proved hard to enforce. Sources: WHO; national laws and strategies.
Source · WHO (2019); French government (2025); Cyberspace Administration of China (2023); Australian Government (2024–25); UK legislation; US CDC and American Academy of Pediatrics; European Commission.
The pattern: Countries are moving on screen exposure and autism policy, but few have specifically addressed screen-linked developmental delays. These difficulties are generally assessed and treated through existing developmental and child-health services rather than a separate diagnosis.
A question the public is asking
Search data give an independent gauge of public concern. Worldwide interest in the term was negligible before 2022 and climbed steeply through 2025–26. It is highest in Romania the term's home then Ethiopia and parts of South and Southeast Asia; India sits around a seventh of Romania's level, alongside the US, UK and Canada. Search interest measures curiosity, not how common the condition is: here, too, it is watched unevenly.

Note: Relative index; highest region = 100. Search interest reflects awareness/search activity, not prevalence of the condition.
IndiaGraphs analysis:
Are We Witnessing a New Childhood Development Problem?
The studies reviewed reveal a consistent concern: higher screen exposure in early childhood is associated with poorer language and communication outcomes. Some studies also report increased autism-related symptoms. These findings suggest a developmental risk that extends beyond the debate over “virtual autism.”
One possible explanation is the loss of everyday interaction. Language develops through conversation, imitation, shared play and responses from caregivers. Prolonged passive screen viewing can displace these experiences, particularly during the early years.
Yet speech delay is not a single condition: hearing difficulties, language disorders and autism can produce overlapping symptoms, often requiring different interventions.
| Research question | Evidence reviewed | IndiaGraphs interpretation |
|---|---|---|
| Does screen exposure affect early development? | Multiple studies report poorer language and communication outcomes with higher exposure. | Excessive passive viewing is a relevant, potentially modifiable developmental risk. |
| Does it explain autism-like symptoms? | Some studies find associations with autism-related behaviours; findings vary by study design. | Screen exposure may contribute to certain developmental difficulties, but these findings do not establish a distinct form of autism. |
| Can children improve? | Small intervention studies and clinical reports describe improvements in communication and behaviour. | Early support can help, but improvement cannot be attributed to screen reduction alone. |
| Are cases increasing in India? | Regional prevalence studies and clinical observations exist, but comparable national trends are unavailable. | A nationwide increase cannot currently be established or separated from improved identification. |
What India still cannot measure
The bottom line
India's "virtual autism" debate is two questions in one name: do screens harm early development, and can the country measure the harm? On the first, the evidence is consistent but not conclusive.On the second, the evidence is clear: India lacks a reliable national measure of screen-related developmental difficulties. Gaps in disability data collection raise further concerns about the country’s ability to track the scale and changing nature of the problem.
The Latur study offers a striking finding: not one case was reported among 734 children who had never used a screen. While a single study cannot establish causation, the finding warrants closer investigation. India already screens children at scale and trains community health workers to support families. What remains missing is a consistent system to track these developmental difficulties and sufficient specialist capacity to follow up on referrals. A problem that cannot be reliably measured cannot be effectively managed.
The takeaway: the screen is now part of Indian childhood. The measurement is not. India cannot decide whether it has a virtual-autism problem until it decides to count one.
Research Sources & References
| Research / Study | Source URL |
|---|---|
| Zamfir (2018) - The Origin of “Virtual Autism” | https://www.researchgate.net/publication/323748812 |
| Dongre et al. (2025) - Virtual Autism Study, Latur, Maharashtra | https://www.journalcra.com/node/22621 |
| Arora et al. (2018) - Neurodevelopmental Disorders in Indian Children | https://doi.org/10.1371/journal.pmed.1002615 |
| Varadarajan et al. (2021) - Screen Time and Developmental Delay in Indian Children | https://pubmed.ncbi.nlm.nih.gov/34228768/ |
| Japan Cohort (2022) - Screen Time and Autism Spectrum Disorder | https://jamanetwork.com/journals/jamapediatrics/fullarticle/2788488 |
| Heffler et al. (2020) - Screen Exposure and Autism-Like Symptoms | https://jamanetwork.com/journals/jamapediatrics/fullarticle/2764573 |
| Ophir et al. (2023) - Screen Time and Autism: Systematic Review and Meta-Analysis | https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2812722 |
| Rudra et al. (2017) - Autism Prevalence in Kolkata | https://doi.org/10.1002/aur.1812 |
| Raina et al. (2017) - Autism Prevalence in Himachal Pradesh | https://pubmed.ncbi.nlm.nih.gov/28694615/ |
| Chauhan et al. (2019) - Autism Prevalence in India: Systematic Review | https://pubmed.ncbi.nlm.nih.gov/30860104/ |
| Research / Source | Source URL |
|---|---|
| WHO - International Classification of Diseases (ICD-11) | https://icd.who.int/browse/2025-01/mms/en |
| American Psychiatric Association - DSM-5-TR | https://www.psychiatry.org/psychiatrists/practice/dsm |
| Indian Academy of Pediatrics (2022) - Screen-Time Guidelines | https://www.indianpediatrics.net/mar2022/235.pdf |
| WHO (2019) - Guidelines for Children Under Five | https://www.who.int/publications-detail-redirect/9789241550536 |
| National Family Health Survey - NFHS | https://rchiips.org/nfhs/ |
| NCPCR - Children’s Digital Device-Use Study | https://ncpcr.gov.in/uploads/165650458362bc410794e02_effect1.PDF |
| Economic Survey 2025–26 - Chapter 11 | https://www.indiabudget.gov.in/economicsurvey/doc/eschapter/echap11.pdf |
| Rehabilitation Council of India - Workforce Statistics | https://rehabcouncil.nic.in/ |
| WHO - Mental Health Atlas 2017 | https://www.who.int/publications/i/item/9789241514019 |
| US CDC - Autism Surveillance (ADDM Network) | https://www.cdc.gov/autism/addm-network/ |
Note on method and limits: clinic-reported figures are anecdotal and unofficial. Studies used different tools and age groups, so their numbers are not directly comparable. The largest studies do not prove cause, and recovery estimates come from small samples with no control group. "Virtual autism" is not a clinical diagnosis; this review is not medical advice.

