Human-Centered AI Market Size, Share, Opportunities, and Trends Report Segmented by Application, End User, and Region – Forecasts from 2025 to 2030

Human-Centered AI Market Size:

Human-Centered AI Market is expected to grow at a 33.98% CAGR, increasing from USD 15.332 billion in 2025 to USD 66.191 billion by 2030.

Human-centered AI is the AI technology that is created to connect with humans through prioritizing human requirements, ethics, and health. They are an AI system that works in collaboration with the human-centered design to offer AI that improves and supports human abilities while operating ethically and transparently for the users. It operates by taking the user's cultural and social framework to offer an accountable AI system, which is different in comparison to traditional AI. The human-centered AI is widely used for diverse applications among industries, including healthcare, training, and consumer support, wherein the objective is to support the users in place of substituting them, thus cultivating interactions that are meaningful and significant.

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Besides this, the Human-centered AI market is witnessing rapid expansion fueled by numerous factors. For one, increasing awareness around the biases and ethical issues of AI has made an impact on AI adoption. Such issues, which tend to be overlooked by standard AI, are being addressed with Human-centered AI through the principles of AI ethics, inclusiveness, and accountability, which comply with existing standards, such as GDPR and CCPA. In addition to this, the improvement of AI technologies, such as natural language processing and computer vision, to create more intuitive and user-friendly systems, is further promoting the adoption of Human-centered AI in the years to come.

Human-Centered AI Market Overview & Scope

The Human-Centered AI Market is segmented by:

• Application: The customer service segment is expected to be the fastest-growing segment in the application market due to an increase in the e-commerce sector, which is leading to demand for personalized shopping recommendations. The integration supports troubleshooting assistance, which can help the online shoppers with issues related to their products or services. Ti also offers valuable insights personalized to the user and can recognize the pattern of customer engagement while also resolving the potential issue before it escalates.
• End User: The healthcare segment is projected to hold a significant share in the end-user due to increased adoption of AI in personalized treatment and reduction in errors and healthcare pricing. Healthcare utilizes human-centered AI for offering patient-centric interaction, which also decreases the administrative workload. More specifically, with diverse populations globally, these tools are integrated to offer personalized care while ensuring compliance with regulations such as HIPAA to improve care delivery and patient outcomes.
• Region: The Asia Pacific region is anticipated to expand at a considerable pace in the human-centered AI market. This is due to the growth in AI technologies, chatbot integration for personalized education, and other industrial applications like supportive patient care and customer services. The growth in digitalization, with the governments of countries like India, China, and Japan pushing towards ethical AI integration in diverse industries, is also promoting market growth during the projected period.

Top Trends Shaping the Human-Centered AI Market

1. Integration of Emotional Intelligence into AI Systems
   The growing trend of incorporating emotional recognition capacities, such as sentiment detection in AI, to improve empathetic interactions. This is also increasing due to the increased AI prominence in health monitoring applications and in customer services, which is promoting AI system user experience through more human-like and personalized interactions.
2. Surge in AI for Accessibility and Inclusivity
   The growing AI demand for offering enhanced and personalized ethical interaction for assisting differently enabled individuals, for instance, in voice assistance provision for visually impaired individuals or in supporting an adaptive learning system. This trend is prompting companies to address social equality and humanity in the AI technologies, along with following global regulations.

Human-Centered AI Market Drivers vs. Challenges

Drivers:

• Increasing Demand for Ethical and Transparent AI: The is an increasing demand from consumers, along with regulatory for the integration of AI with transparent and ethical stems due to AI's societal impact. There is an expectation from both consumers and organizations for systems that are just, unbiased, and accountable, especially when AI has the potential to affect welding, healthcare, or criminal justice. For instance, in August 2024, the National Endowment for the Humanities (NEH) announced the introduction of a grant fund for five colleges and universities, which was $2.72 million for research and development of a humanities-led research center that will offer an ecosystem for collaborative research related to human and societal, legal, and ethical impact of AI technologies. Additionally, the EU AI Act, which was adopted in June 2024 enacted mandates transparency in the AI system like generative AI, along with the provision of transparency requirements like disclosing the AI-generated contents, providing copyright data utilized in the AI system training. Additionally, a ban on unacceptable risks associated with AI systems is also present in the mandate. These mandates lead to the adoption of human-centered AI, which aligns with the regulations and prioritizes human values. Enterprises are investing in tools to mitigate biases, like those in facial recognition, which have historically shown disparities across demographics. The attention to ethics ensures not only compliance but also promotes user adoption, fuelling market expansion as companies look for responsible AI solutions at scale.
• Growing Adoption in Healthcare: Healthcare is increasingly integrating human-centered AI systems for improving patient-centered care and streamlining in admission workflow. According to the survey from the American Medical Association (AMA) that in 2024, about 66 percent of the survey respondents reported utilization of health care AI systems, and close to two-thirds of physicians. This usage rate of physicians, about 66 percent, is a rise of 78 percent from the 2023 AI usage, which was 38 percent. Moreover, there were 57 percent of physicians AI adoption had helped them decrease their administrative workloads, while it reported the decrease of physicians who did not use AI decreased from 66% in 2023 to 32 percent physician in 2024. This rise in trust in the utilization of human-centered AI tools in healthcare disparities for personalized care and in supporting physicians for evidence-based treatment, along with supporting data-based decision making, is also boosting the market demand.

Challenges:

• High Development Cost: The increased costs and complexity in the development of human-centered AI solutions, which need to align with ethical regulations, along with human values. This leads to the necessity for advanced programming, which can handle these principles, including user privacy and bias mitigation, which demands a high development cost. This demand for resources and expertise in AI adds to the expenses, making it difficult for smaller companies to enter the market, which could hamper the market's global expansion.
• Technical Difficulties in Understanding Human Emotions and Ethics: The limitation of current technologies like natural language processing in understanding and comprehending human emotions, ethical dilemmas, and cultural context makes it difficult to fully integrate them in AI. This could result in biased outcomes and in misinterpretation of context that can hinder the alignment with human values, which could challenge the market growth.

Human-Centered AI Market Regional Analysis

• United States: The United States is expected to hold the largest share of the human-centered AI market, due to the robust tech infrastructure with the presence of global market players like Microsoft, Google, and IBM, which promotes research and development investments along with government-led funds for supporting ethical AI. The rise of focus on AI integration in the country’s healthcare and retail, among other industries, is also promoting human-centered AI in the coming years.
• Japan: Japan is witnessing a significant growth in the advancement of tech integration among its industries, like automotive, healthcare, which is growing the collaboration of human and AI-enabled robotics. The growing elderly population in the country is also leading to an increase in emotional AI advancement to support accessibility and assistance for elder care.
• Germany: Germany is a major region that is promoting AI integration is supporting e-commerce and collaboration of AI algorithms for personalized learning, along with stringent data protection laws for boosting the ethical AI system in the country.

Human-Centered AI Market Competitive Landscape

The market is fragmented, with many notable players, including IBM Corporation, Microsoft, Google, Anthropic PBC, OpenAI, Adobe, Salesforce, Inc., Cognizant, Five9, Inc., among others.

• Research Center Launch:In November 2024, IIT Madras announced the launch of an AI center, which is the ‘Centre for Human-Centric Artificial Intelligence’ (CHAI) for the development of AI to enhance human potential in India. It will work in enhancing human-centric AI development, which follows regulations while developing in the AI framework of the country.
• Center Launch: In May 2024, Tata Consultancy Services (TCS) announced the development of a research center in France, which is the “Global Artificial Intelligence (AI) Center of Excellence.” This center is planned to collaborate with increasing the AI ecosystem of France and TCS data and research organizations for working on designing and innovating new technology for human-centric AI.

Human-Centered AI Market Scope:

Human-Centered AI Market Segmentation:

• By Application
  • Chatbots and Virtual Assistants
  • Medical Diagnostics
  • Customer Service
  • Personalized Learning
  • Others
• By End-User
  • Healthcare
  • Education
  • Retail & E-commerce
  • Automotive
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Taiwan
    • Others

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Page last updated on: September 4, 2025

IBM Corporation

Microsoft

Google

Anthropic PBC

Open AI

Adobe

Salesforce, Inc.

Cognizant

Five9, Inc