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Artificial Intelligence In Mental Health Market 2024 [Latest Trends]: Analysis Future Opportunity and Demand Forecast Year 2030

02-19-2024 08:05 PM CET | Health & Medicine

Press release from: Cognate Life Sciences

Artificial Intelligence In Mental Health Market

Artificial Intelligence In Mental Health Market

The Latest Research Report on Artificial Intelligence In Mental Health Market 2024 outlines the key factors influencing the growth of this area in terms of the competitive and geographic environment. In addition, the research discusses the obstacles to market growth and provides information on unexplored prospects that will promote company progress in the 2024-2030 forecast period.

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Major Major Players are:
MARIGOLD HEALTH, MINDSTRONG HEALTH, BARK TECHNOLOGIES, WYSA LTD, WOEBOT HEALTH, GINGER, BIOBEATS, COGNOSOA, LYRA HEALTH, MEQUILIBRIUM

Artificial Intelligence In Mental Health Market Overview:

Market Size and Overview:

The Mental Health Market for Artificial Intelligence (AI) attained a valuation of USD 18.9 billion in the year 2023, with a projected escalation to USD 59.18 billion by 2030. It is expected that the market will witness a Compound Annual Growth Rate (CAGR) of 17.8% during the forecast period.

Artificial Intelligence (AI) plays a crucial role in healthcare, facilitating the management and analysis of data to conduct clinical diagnoses and devise appropriate treatment strategies for various conditions. Employing advanced algorithms and various technologies, AI examines illness patterns and symptoms, offering healthcare professionals enhanced guidance, feedback, and support. Furthermore, AI-powered systems leverage wearable smart devices to analyze healthcare data, provide digital and virtual consultations for patients, and offer medication formulation and management services.

The market's expansion is significantly driven by the increasing utilization of robots in surgical and rehabilitative treatments within the healthcare sector. Robots successfully conduct neurological, orthopedic, and laparoscopic minimally invasive (MI) surgeries. The ongoing trend of digitization in the healthcare industry further contributes to market growth, with AI being integrated into medical systems and devices for efficient and secure data handling. This integration allows for the provision of patient-specific data, enabling specialized pharmaceutical and diagnostic services. The aging population's growing reliance on healthcare services, coupled with the introduction of AI in elderly care items such as assisted living smart gadgets, fall detection technology, and virtual companions, further propels the market.

Several factors are expected to drive the market in the coming years, including increased research and development (R&D) activities and favorable healthcare policies implemented by various countries. Numerous AI projects in the healthcare industry focus on improving mental health and overall well-being, addressing the significant global impact of mental health concerns. The World Health Organization (WHO) estimated in 2001 that approximately 10% of deaths and 30% of years lived with a disability are related to mental health issues. Moreover, the economic impact of mental health concerns, particularly depression, costing American businesses between USD 17 and USD 44 billion annually, underscores the importance of addressing mental health through innovative AI solutions.

AI companies are adapting their operations to fill gaps in the mental health sector, offering conversational interfaces and patient behavioral pattern detection. However, challenges such as privacy concerns related to examining a patient's private text conversations require further advancements in the field, presenting opportunities for innovation and breakthroughs.

COVID-19 IMPACT ON THE ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH MARKET

COVID-19 has positively impacted the artificial intelligence in the mental health market, as the healthcare industry increasingly embraces digital health services. The pandemic prompted a focus on integrating AI technology into healthcare solutions, enhancing workflows, automating processes, and monitoring patient health effectively. The growing potential of AI in precision medicine, diagnostics, imaging, drug development, and genomics to combat COVID-19 further supports market expansion. The mandated work-from-home policy during the pandemic led to increased investment, hiring, and adoption of AI, demonstrating long-term corporate trends. Private businesses with an AI emphasis continued to attract significant investment during the pandemic, especially in industries related to COVID, with global AI investment increasing by 40% between 2019 and 2020.

MARKET DRIVERS:

The escalating volume of extensive and intricate healthcare datasets globally is generating a demand for AI within the mental health industry.

The healthcare sector produces substantial sets of complex data, commonly referred to as big data, annually. These datasets originate from diverse sources such as wearables, sensors, medical devices like pulse oximeters and X-ray machines, electrocardiogram (ECG) machines, electronic medical records (EMRs), social media interactions, and biometric data. The industry's increased digitalization and adoption of information technology, witnessed over the past decade, have led to a substantial rise in the sophistication and utilization of big data along with new analytical tools. The production of big data occurs at various stages of the care delivery process, making healthcare one of the primary industries generating substantial data. Additionally, the adoption of bidirectional patient portals, allowing patients to contribute data and images to their electronic medical records, is expected to further augment the volume of big data in healthcare in the coming years.

The Growing Senior Population Will Propel Growth

By the conclusion of 2028, the Asia-Pacific region is forecasted to dominate the market share. The expansion of the market in this region can be attributed to the increasing aging population, elevated prevalence of neurological disorders among the elderly, and the ongoing development of healthcare infrastructure. Notably, it is projected that by 2050, one in four individuals in the Asia-Pacific region will be over 60 years old, with an estimated 2.12 million elderly individuals in nations like Singapore and Thailand experiencing depression. The region is also expected to have around 1.2 million seniors with dementia. The acceptance of AI technology in the mental health industry is anticipated to contribute to the market's accelerated growth throughout the forecast period.

MARKET RESTRAINTS:

Misconceptions among Medical Personnel Hindering Market Growth

A significant hurdle to AI adoption in the mental health industry is the skepticism among many medical practitioners regarding the accuracy of AI solutions in diagnosing patient ailments. Convincing providers that AI-based solutions are not only cost-effective but also secure and efficient, providing convenience and enhanced patient care, remains a challenge. The widespread misconception that AI technology may replace doctors in the medical field further impedes its adoption. Despite the capabilities of robotics and AI, they struggle to replicate human qualities such as persuasion and empathy, making it clear that physicians cannot be replaced by these technologies.

Data Privacy Concerns Restraining Market Growth

Despite the practical applications of AI in the medical field, concerns about data privacy restrict its widespread use. Federal regulations in some countries safeguard patient health data, imposing severe consequences for any violations or failures to maintain data integrity. AI technologies used in patient care must comply with these data security regulations set by regulatory and governmental bodies, presenting a formidable challenge. The concentration of AI platforms and their substantial processing requirements may necessitate patient data residing in vendor data centers, raising security concerns. The potential for data breaches and unauthorized access poses a significant challenge, as any compromise of patient data from these centers could result in legal repercussions and demands for compensation from affected parties.

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Market Segmentation are:
Segmentation by Component (SAAS, Hardware), by Technology (Machine Learning, Natural Language Processing, Context-aware, Computing Computer Vision), by Application (Conversational, Interfaces Patient Behavioral, Pattern Recognition)

Artificial Intelligence In Mental Health insights, overview and deep study of factors are considered to have greater influence over future course of the industry such as market size, market share, different dynamics of the industry, Artificial Intelligence In Mental Health market companies, regional analysis of the domestic markets, value chain analysis, consumption, demand, key application areas and more.

NOTE: Our report highlights the major issues and hazards that companies might come across due to the unprecedented outbreak of COVID-19.

How will this report benefit potential stakeholders?
-Comprehensive assessment of all opportunities and risks in the Artificial Intelligence In Mental Health market.
-The detailed study of business strategies for the growth of the Artificial Intelligence In Mental Health market-leading players.
-Conclusive study about the growth plot of the Artificial Intelligence In Mental Health market for forthcoming years.
-In-depth understanding of Artificial Intelligence In Mental Health market-particular drivers, constraints, and major micro markets.
-Favorable impression inside vital technological and market latest trends striking the Artificial Intelligence In Mental Health market.

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What Artificial Intelligence In Mental Health Market report offers:
1.Artificial Intelligence In Mental Health Market share assessments for the regional and country-level segments
2.Market share analysis of the top industry players
3.Artificial Intelligence In Mental Health Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
4.Strategic recommendations in key business segments based on the market estimations
5.Competitive landscape covering following points: Company Overview, Product Portfolio, Financial Performance, Recent Highlights, Strategies

COVID-19 has had a major impact on the world economy in addition to that on the public health. This particular pandemic had caused severe economic destruction and not a single country has been left unaffected. The virus has forced businesses around the globe to change the way they operate. This report gives an analysis of the COVID-19 aftermath on Artificial Intelligence In Mental Health market.

Competitive Rivalry:
The report highlights vital details based on the leading players in the global Industrial Artificial Intelligence In Mental Health market. It features their details such as product/business portfolio, market share, financial status, regional share, segment revenue, SWOT analysis, manufacturing base, capacities, production volume, major vendors, raw material sourcing strategies, organizational structure. Their latest corporate deals, joint ventures, mergers and acquisitions, product launches, and other brand promotions are other facts about the market players included in the report.

We also offer customization on reports based on specific client requirement:
1- country-level analysis for any 5 countries of your choice.
2- Competitive analysis of any market players.
3- 40 analyst hours to cover any other data points

Purchase this report now @ https://www.cognatelifesciences.com/buy-now/?id=2130&license_type=su

Finally, Artificial Intelligence In Mental Health Market is a valuable source of guidance for individuals and companies in decision framework.

Contact Us:
Robin McKay
Client Partner Relations
USA/Canada(Toll Free): 1800-601-6071
Mail: sales@cognatelifesciences.com
Web: www.cognatelifesciences.com

About us :

Cognate Lifesciences is a specialized hub for all market research reports related to Lifesciences Market. Some of the sub domains covered by our team are Pharmaceuticals, Medical Devices and Supplies, Healthcare, Diagnostics, Biotech, Therapeutics, Healthcare IT etc. We offer syndicated/customized market research studies along with advisory and consulting services.

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