Market Executive Summary

The global Artificial Intelligence in Mental Health revenue was US$ 452 million in 2022 and is forecast to a readjusted size of US$ 1371.6 million by 2029 with a CAGR of 13.4% during the review period (2023-2029).

In India, the Artificial Intelligence in Mental Health revenue is expected to grow from US$ million in 2022 to US$ million by 2029, at a CAGR of % during the forecast period 2023-2029.

Artificial Intelligence in Mental Health refers to the use of artificial intelligence technology in the field of mental health to assist in the prediction, diagnosis, intervention and treatment of mental illnesses. Specifically, this kind of artificial intelligence can judge an individual's mental state by analyzing physiological and behavioral signals such as brain electricity, voice, and expressions, and give corresponding suggestions and treatment plans. The application of this technology aims to increase the efficiency and accuracy of mental health services, thereby improving patient treatment experience and outcomes.

Although artificial intelligence has broad application prospects in the field of mental health, it cannot completely replace professional medical personnel. The role of AI is more to assist and support medical staff than to replace them. At the same time, the use of artificial intelligence also needs to strictly follow ethical and legal norms to ensure its safety and effectiveness.

This report focuses on global and India Artificial Intelligence in Mental Health market, also covers the segmentation data of other regions in regional level and county level.

India is now the world’s most populous country. According to IMF (its July update to its World Economic Outlook), India’s GDP growth is projected at 6.1% in 2023, powered by domestic investment. First and foremost, the key factor in India's rapid economic growth is the huge supply and demand from a large population base. Demand and supply sides working in both directions to support India's economic stability.

India is a market full of opportunities, and the demand for Artificial Intelligence in Mental Health will continue to grow rapidly in the future.

Global Artificial Intelligence in Mental Health Scope and Market Size

Artificial Intelligence in Mental Health market is segmented in regional and country level, by players, by Type and by Application. Companies, stakeholders, and other participants in the global Artificial Intelligence in Mental Health market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2018-2029.

For India market, this report focuses on the Artificial Intelligence in Mental Health market size by players, by Type and by Application, for the period 2018-2029. The key players include the global and local players, which play important roles in India.

By Company

    Bark Technologies

    BioBeats

    Cognoa

    Ginger

    Lyra

    meQuilibrium

    Neurotrack

    Quartet Health

    Spring Health

    Woebot Labs

Segment by Type

    Software

    AI Robot

    Others

Segment by Application

    Mental Health

    Mental Illness

    Others

By Region

    Americas

        United States

        Canada

        Mexico

        Brazil

    China

    APAC (excluding China)

        Japan

        South Korea

        China Taiwan

        ASEAN

        India

    EMEA

        Europe

        Middle East

        Africa

Chapter Introduction

Chapter 1: Introduces Artificial Intelligence in Mental Health definition, global market size, India market size, India percentage in global market. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 3: Provides the analysis of various market segments by application, covering the revenue and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 4: Detailed analysis of Artificial Intelligence in Mental Health companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger and acquisition information, etc.

Chapter 5: Revenue of Artificial Intelligence in Mental Health in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space of each country in the world. 

Chapter 6: Americas by type, by application and by country revenue for each segment.

Chapter 7: EMEA by type, by application and by region, revenue for each segment.

Chapter 8: China by type, by application revenue for each segment.

Chapter 9: APAC (excluding China) by type, by application and by region, revenue for each segment.

Chapter 10: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence in Mental Health revenue, gross margin and recent development, etc.

Chapter 11: Analyst's Viewpoints/Conclusions