Financial overview and grant giving statistics of Neurodiversity Foundation

The Neurodiversity Cognitive Assessment Software market is experiencing robust growth, driven by increasing awareness of neurodiversity, advancements in digital assessment tools, and a rising demand for personalized learning and workplace accommodations. The market size in 2025 is estimated at $800 million, demonstrating significant potential. Considering a conservative Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, the market is projected to reach approximately $2.8 billion by 2033. This expansion is fueled by several key factors. Firstly, technological advancements are leading to more sophisticated and user-friendly software solutions capable of accurately assessing cognitive abilities across a wider spectrum of neurodiverse individuals. Secondly, a growing understanding of neurodiversity within educational institutions and workplaces is fostering a greater need for comprehensive assessment tools that go beyond traditional measures. Finally, the increasing prevalence of conditions like ADHD and autism, coupled with a stronger focus on inclusion and equity, further stimulates demand for these specialized software solutions. The market's growth is not without its challenges. High initial investment costs for software development and implementation, along with the need for ongoing training and support, can serve as restraints. Furthermore, ensuring the validity and reliability of these assessments across diverse populations remains crucial for widespread adoption. However, the clear benefits in improving educational outcomes, fostering inclusive workplaces, and promoting individualized support are expected to outweigh these challenges. The market is segmented by software type (e.g., ADHD assessment, autism spectrum disorder assessment), assessment modality (e.g., online, offline), and end-user (e.g., schools, clinics, businesses). Key players are continuously innovating to improve assessment accuracy, personalize interventions, and integrate their solutions with other support services. The competitive landscape is dynamic, with established players and emerging startups vying for market share through product differentiation and strategic partnerships.

Neurodiversity Cognitive Assessment Software Market was valued at USD 1.2 Billion in 2024 and is expected to reach USD 2.97 Billion by 2032, growing at a CAGR of 12.50% during the forecast period 2026-2032.Global Neurodiversity Cognitive Assessment Software Market DriversThe market drivers for the Neurodiversity Cognitive Assessment Software Market can be influenced by various factors. These may include:Prevalence of Neurodevelopmental Conditions: An increase in diagnosed cases of autism, ADHD, and dyslexia is projected to drive demand for digital cognitive assessment solutions tailored to neurodiverse individuals. Globally, a significant learning disability prevalence exists, affecting roughly 15% of students and about 1.7% of children.Emphasis on Early Diagnosis and Intervention: Early screening initiatives by educational and healthcare institutions are anticipated to be strengthened by the integration of advanced cognitive assessment tools. Starting with the importance of early screening, the average ages of diagnosis are 7–8 years for dyslexia and 7 years for ADHD.Adoption of Personalized Learning in Education: The shift toward inclusive education is expected to be supported by the implementation of neurodiversity-focused assessment software for customizing learning strategies.

This dataset is about books. It has 1 row and is filtered where the book is Neurodiversity, Autism & Recovery from Sexual Violence : A practical resource for all those working to support victim-survivors. It features 7 columns including author, publication date, language, and book publisher.

This dataset contains anonymised raw data and examples of accommodations made for neurodiverse students in four undergraduate courses in Computer Science and Software Engineering programmes. The dataset is published as a part of a book chapter in which we report the accommodations.

Overall guidelines we followed, including their sources, are contained in guidelines.md.

The raw data for the two surveys is contained in the two Excel files survey1.xlsx and survey2.xlsx. Free-text answers have been aggregated by neurodiverse and neurotypical students and anonymised, and are available in the files survey1_freetext_neurodiverse.txt, survey1_freetext_neurotypical.txt, survey2_freetext_neurodiverse.txt, and survey2_freetext_neurotypical.txt.

The remaining files are examples of the adapted lecture slides and assignment texts. Here, files starting with WEBcourse are from a mandatory undergraduate course on web development, while files starting with SEcourse are from a mandatory undergraduate course giving an overview of Software Engineering.

Avoiding systemic discrimination of neurodiverse individuals is an ongoing challenge in training language models, which often propagate negative stereotypes. This study examined whether six text-to-image models (Janus-Pro-7B VL2 vs. VL3, DALL-E 3 v. April 2024 vs. August 2025, Stable Diffusion v. 1.6 vs. 3.5, SDXL v. April 2024 vs. FLUX.1 Pro, and Midjourney v. 5.1 vs. 7) perpetuate non-rational beliefs regarding autism by comparing images generated in 2024-2025 with controls. 53 prompts aimed at neutrally visualizing concrete objects and abstract concepts related to autism were used against 53 controls (baseline total N=302, follow-up experimental 280 images plus 265 controls). Expert assessment measuring the presence of common autism-related stereotypes employed a framework of 10 deductive codes followed by statistical analysis. Autistic individuals were depicted with striking homogeneity in skin color (white), gender (male), and age (young), often engaged in solitary activities, interacting with objects rather than people, and exhibiting stereotypical emotional expressions such as sadness, anger, or emotional flatness. In contrast, the images of neurotypical individuals were more diverse and lacked such traits. We found significant differences between the models; however, with a moderate effect size (baseline $\eta^2 = 0.05$ and follow-up η = 0.08$), and no differences between baseline and follow-up summary values, with the ratio of stereotypical themes to the number of images similar across all models. The control prompts showed a significantly lower degree of stereotyping with large size effects (DALL·E 3 η = 0.39; Midjourney η = 0.41; FLUX η = 0.20; Stable Diffusion η = 0.34; DeepSeek-VL3 η = 0.45) confirming the hidden biases of the models. In summary, despite improvements in the technical aspects of image generation, the level of reproduction of potentially harmful autism-related stereotypes remained largely unaffected.

Discover Market Research Intellect's Neurodiversity Cognitive Assessment Software Market Report, worth USD 1. 2 billion in 2024 and projected to hit USD 3. 5 billion by 2033, registering a CAGR of 15. 2% between 2026 and 2033. Gain in-depth knowledge of emerging trends, growth drivers, and leading companies.

This data has emerged from qualitative semi-structured interviews which obtained the experiences and perspectives of international practitioners who work with autistic men/men with attention deficit hyperactivity disorder who perpetrate domestic abuse in intimate relationships. It aimed to understand how practitioners can provide safe and effective interventions for neurodivergent men and victim-survivors.

Key findings included concerns regarding the lack of knowledge about neurodivergence, screening and awareness amongst practitioners, workforce development, recruitment and retainment, and the resourcing and sustainability of neurodivergent responsive interventions. It also identified that practitioners had witnessed that neurodivergent men experience barriers to engagement within mainstream programmes developed and delivered by and for neurotypical people, and that more research is needed about the implications of this for victim-survivors and those who work with them within integrated services.

Financial overview and grant giving statistics of Colorado Neurodiversity Chamber Of Commerce

Background. Among non-African populations, up to 6% of their genome has retained DNA from archaic hominins. While hybridizations were advantageous in adapting to out-of-Africa environments they have recently also been associated with disease risks (Simonti et al., 2016) and autism (Oksenberg et al., 2013). However, genome evolution operates primarily on gene networks, and alleles associated with increased risk may have undergone positive selection in the past and only become disadvantageous in modern life and culture. If autistic traits or, more generally, neurodiversity traits, are signatures of a Neanderthal or Denisovan admixture, the prevalence or strengths of those traits should vary with human migration and Neanderthal ancestry. We expect Europeans and East Asians are more closely related to each other than to Africans and to find strong autistic traits (at population level) in East Asians. Methods. We analysed over 500,000 responses from the Aspie Quiz which attracts people interested in how neurodiverse or neurotypical they are. The quiz yields two factors: a neurodiversity (ND) and a neurotypical (NT) score. Participants also indicated their ancestry. From the ancestry information we calculated a relatedness metric with hierarchical clustering. Results. Behavioural traits associated with neurodiversity (ND score) were most prevalent among participants indicating Eurasian ancestry and less prevalent among African and African-American participants. This data is less in favour for a single migration of modern humans out-of Africa. Discussion. Our results indicate a possible evolutionary explanation for autism. Autistic traits at the population level overlap with human admixture and migration, i.e. a closer relatedness among East Asian and Central Europeans than Africans. This finding uggests positive (or at least neutral) selection for genes / gene networks from Neanderthals. Indeed, autistic traits have been linked to Neanderthal alleles (Oksenberg et al., 2013). Our data is insufficient for disentangling cultural or other more recent influences on behavioural traits, nor can it measure the prevalence of neurodiversity. However, both recent evidence and our data suggests that autistic traits and neurodiversity come from Neanderthals.

All variables used in the publication, 'Healthcare Experiences among Emerging Adults: The Impact of Neurodiversity'. Hayes Process Macro was used for mediation analysis and can be downloaded here: https://www.processmacro.org/index.html

Roughly 20% of adults identify as neurodivergent – an umbrella term used to describe cognitively atypical individuals. Neurodivergent identities manifest in several forms including autism, attention dysregulation hyperactivity disorder/attention deficit hyperactivity disorder, dyslexia, and other cognitively atypical trajectories. Despite a societal increase in acknowledgment and awareness of neurodiversity, there remains little to no discussion or critical understanding of neurodivergent individuals, especially within the realm of higher education (HE). The aim of this study, as part of the Diversity in Education Study (DivES), is to explore the impact of a neurodiversity-focused module within the college classroom. This study included 153 students (predominantly female, heterosexual, third-year students, with white/European racial heritage); wherein, a neurodiversity-focused module was taught within the context of an undergraduate course on diversity. Pre (start of the term) and post (end of the term) surveys were compared to evaluate the impact of the module on student understanding of the term neurodiversity, self-endorsements of a neurodivergent identity, and critical consciousness of ableism. In sum, the neurodiversity-focused module increased neurodiversity awareness and self-endorsements but did not positively shift critical consciousness of ableism scores. Replication in larger and more diverse samples is needed before pedagogy recommendations may be solidified but this study provides preliminary support for the incorporation of a neurodiversity module within diversity-focused HE courses.

This is a comprehensive intersectional reference aid for university faculty and administrators around disability and accessibility issues. It leverages both traditional and multimedia illustrations to increase understanding, effective communication, empathy, and foster mutual respect between adults with and without disabilities. Pages have been removed to provide OSF viewers with a free sample of what to expect.

This paper is based on data obtained by letting parents rate vocalisation recordings. Parents (n = 76) of female children with RTT listened to vocalisation recordings from RTT and typically developing (TD) infants, including an inconspicuous vocalisation from a RTT girl. For each recording, parents indicated if the vocalisation was produced by a RTT or a TD child.

Global Neurodiversity Cognitive Assessment Software market size 2021 was recorded $849.484 Million whereas by the end of 2025 it will reach $1350 Million. According to the author, by 2033 Neurodiversity Cognitive Assessment Software market size will become $3409.5. Neurodiversity Cognitive Assessment Software market will be growing at a CAGR of 12.278% during 2025 to 2033.

Sensory Room for Neurodiverse Travelers Market Outlook

As per our latest research, the global Sensory Room for Neurodiverse Travelers market size reached USD 1.18 billion in 2024, reflecting a robust growth trajectory fueled by rising awareness and inclusion initiatives for neurodiverse individuals in public and travel spaces. The market is projected to expand at a CAGR of 13.7% during the forecast period from 2025 to 2033, reaching an estimated USD 3.67 billion by 2033. Key growth factors include increasing regulatory mandates for accessibility, surging demand from travel and hospitality sectors, and strong advocacy from neurodiversity organizations. This rapid expansion highlights a global shift toward more inclusive and accommodating environments for neurodiverse travelers.

One of the most significant growth drivers in the Sensory Room for Neurodiverse Travelers market is the heightened global focus on accessibility and inclusivity, particularly within travel infrastructure. Governments and regulatory bodies are increasingly mandating the integration of sensory-friendly spaces in public venues, such as airports, train stations, and hotels. These mandates are often accompanied by funding and incentives, encouraging operators to adopt sensory rooms equipped with advanced lighting, sound, and tactile technologies. Furthermore, the growing recognition of neurodiverse conditions, including autism spectrum disorder (ASD), ADHD, and sensory processing disorders, has prompted travel operators to prioritize the comfort and well-being of all travelers. This has resulted in a surge of investments in both permanent and modular sensory room solutions, ensuring that neurodiverse individuals can travel with greater ease and dignity.

Another critical growth factor stems from the evolving expectations of travelers and their families, especially as the travel industry rebounds post-pandemic. Families and caregivers are increasingly seeking destinations and transit hubs that offer specialized accommodations for neurodiverse individuals, influencing their choice of carriers, hotels, and even destinations. This shift in consumer expectations has prompted major travel industry players to differentiate themselves by investing in state-of-the-art sensory rooms, which often feature customizable sensory equipment such as adjustable lighting, soothing soundscapes, and tactile panels. The proliferation of positive testimonials and media coverage has further amplified the importance of sensory rooms, creating a virtuous cycle of demand and investment. As a result, the market is witnessing increased collaboration between sensory equipment manufacturers, travel operators, and neurodiversity advocacy groups to co-develop innovative solutions tailored to a wide spectrum of sensory needs.

Technological advancements are playing a pivotal role in shaping the Sensory Room for Neurodiverse Travelers market. The integration of smart technologies, such as IoT-enabled sensory equipment and AI-driven customization, is enabling real-time personalization of sensory environments. These innovations allow travelers to adjust sensory inputs according to their specific requirements, thereby enhancing user experience and satisfaction. Additionally, the availability of portable and modular sensory room solutions has made it feasible for smaller transit hubs and hospitality venues to offer sensory-friendly environments without extensive infrastructure investments. This democratization of access is expected to further accelerate market growth, as more venues across the globe recognize the value of catering to neurodiverse travelers.

Regionally, North America continues to dominate the Sensory Room for Neurodiverse Travelers market, accounting for over 38% of the global market share in 2024. The region's leadership is attributed to strong advocacy from neurodiversity organizations, proactive regulatory frameworks, and high levels of investment from travel and hospitality giants. Europe follows closely, driven by stringent accessibility regulations and a well-established travel infrastructure. The Asia Pacific region is poised for the fastest growth, with a projected CAGR of 16.2% through 2033, as awareness and adoption of sensory-friendly environments gain momentum in emerging markets. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by growing tourism sectors and increasing international

The Neurodiversity Cognitive Assessment Software market is emerging as a pivotal solution in educational and clinical settings, designed to facilitate the assessment and understanding of diverse cognitive profiles, especially among neurodiverse populations. This market has gained significant traction in recent years

In April, 2024, we run an anonymous survey to investigate the language strengths (lexics, sintax, semantics, pragmatics, etc) of autistic youth and adults in Finland. The dataset consists of answers given by open-ended questions about the linguistic strengths of autistic people, we were also interested to see if these answers match with the reports of family members, partners, friends and caregivers of autistic individuals, children and post-mortum reports were also included in the data set. The texts are is English and Finnish language (n=43 autistics), (n=47 families). In this dataset exposed in this platform, we did not include the age, gender, or status of autism from the original dataset, in order to protect participants privacy, we just inform the language samples obtained by autistic themselves and their inner social circle.

Autistic people face challenges getting into and maintaining employment (Bury et al., 2024). In this study, we aim to explore hypothesised predictors of occupational burnout dimensions, as measured by the Oldenburg Burnout Inventory (OLBI). This inventory is based on the job demands-resources (JD-R) theory, which posits that burnout can occur to an employee regardless of their occupation type, in the context of ‘job resources’ being too low, and ‘job demands’ being too high (Demerouti et al., 2001).

In their model based on the JD-R theory, Tomczak and Kulikowski (2024) proposed that the mechanism of occupational burnout for autistic workers does not differ from the mechanism of non-autistic workers, though the resources and demands of each group may differ. On the side of the proposed demands, these include cognitive demands, such as problems with conceptualising abstract ideas, and psychological demands, such as self-organisation. Some of the job demands include pace of change, harassment, interpersonal conflict and emotional demands.

Within autistic communities, an arguably different kind of burnout is also described. Apart from relating primarily to autistic populations, ‘autistic burnout’ is conceptualised to be a broader experience to occupational burnout, the latter generally conceptualised as a work stress related phenomenon (though broader conceptualisations of burnout do exist in the context of the general population e.g., Bianchi et al., 2021). Autistic burnout is thought to occur in and can be contributed to by many contexts, including the demands of work (Brouwers et al., 2023; Grove et al., 2023; Higgins et al., 2021). Definitions and measures of occupational burnout may be relevant to autistic groups, though it is unclear if the experience is independent of (though, overlapping with), or wholly subsumed under the all-encompassing experience of autistic burnout.

Living, and working, in communities that are not cognizant of autistic needs may lead to di/stress from victimisation and feeling othered (Pearson et al., 2023). Such working conditions may exacerbate and impact the trajectory of differences that neurodivergent people may have through situations where preventative accommodations, or alternatives, could exist, but do not. Further, such conditions may mean some autistic people end up ‘camouflaging’ across contexts, exhaustingly suppressing intuitive ways of thinking and behaving, and putting on non-intuitive, but more socially expected alternatives (Cook et al., 2021). Indeed, camouflaging has been reported by autistic adults in the context of work (Merrington et al., 2024). Though camouflaging may have its utilities for some e.g., social aspects of work (Bradley et al., 2021), it has been linked to mental and physical distress, and exhaustion (Lee et al., 2022). Though the exhaustion associated with camouflaging may not be unique to autistic people (Miller et al., 2021), on the whole, little evidence exists on the relationship between camouflaging and occupational burnout dimensions in autistic vs non-autistic people.

Based on evidence to date, our key research questions are as follows:

1. Do Autistic participants, AuDHD participants, ADHD participants and participants belonging to the Comparison group (defined as those participants that were neither autistic nor ADHD), differ on occupational burnout dimensions, when adjusting for demographics and anxiety scores?
2. Do camouflaging scores positively predict occupational burnout dimensions over and above autism traits, while adjusting for demographics, anxiety and ADHD scores?
3. Is the relationship between autism trait scores and occupational burnout dimensions moderated by camouflaging scores, while adjusting for select demographic variables, anxiety and ADHD trait scores?