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    Human Centered AI Market Size

    ID: MRFR/ICT/10704-HCR
    215 Pages
    Ankit Gupta
    October 2025

    Human-Centered AI Market Research Report Information By Function (Assistance and Support, Safety and Security, Decision-Making & Support, Workflow Automation, Collaboration and Others), Application (Medical Diagnostic, Chatbots and Virtual Assistants, Personalized Learning, Fraud Detection & Risk Assessment, Quality Control, and Human Resources) End User, (Healthcare, Automobile, Educat...

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    Human Centered Ai Size

    Human Centered AI Market Growth Projections and Opportunities

    The market dynamics of Human-Centered AI signify a shift towards creating artificial intelligence systems that prioritize human well-being, interaction, and ethical considerations. Unlike traditional AI models that focus solely on performance metrics, Human-Centered AI places emphasis on user experience, transparency, and the responsible use of AI technologies. This paradigm is driven by the recognition of the impact AI has on individuals and society, prompting a more thoughtful and ethical approach to its development and deployment.

    One of the primary drivers shaping the dynamics of the Human-Centered AI market is the increasing awareness of the societal impact of AI technologies. As AI systems become more pervasive in various aspects of daily life, there is a growing realization that these technologies should align with human values, respect individual privacy, and avoid perpetuating biases. Human-Centered AI seeks to address these concerns by putting human needs and ethical considerations at the forefront of AI development.

    The competitive landscape of the Human-Centered AI market is characterized by the presence of companies and research institutions actively incorporating human-centric principles into their AI solutions. Established technology companies are investing in research and development to create AI systems that prioritize user experience, accessibility, and inclusivity. Additionally, startups are emerging with a focus on designing AI applications that are not only technically proficient but also ethically sound and considerate of diverse user needs.

    Technological advancements play a crucial role in influencing the dynamics of the Human-Centered AI market. As AI algorithms and models become more sophisticated, there is an increased ability to design systems that can adapt to user preferences, provide transparent explanations for their decisions, and mitigate biases. These technological advancements contribute to the development of AI solutions that prioritize human well-being and foster trust between users and AI systems.

    The regulatory landscape is another influential factor shaping the market dynamics of Human-Centered AI. Governments and regulatory bodies are recognizing the need to establish guidelines and standards that ensure the responsible development and deployment of AI technologies. Compliance with ethical and privacy regulations is becoming a key consideration for companies operating in the Human-Centered AI space, influencing the development of AI solutions that align with evolving regulatory frameworks.

    Strategic partnerships and collaborations between technology companies, ethicists, and user advocacy groups are key drivers of market dynamics. These partnerships aim to bring together diverse expertise to shape the design and deployment of Human-Centered AI. Collaboration with end-users, including individuals from different demographic groups, ensures that AI systems consider a broad range of perspectives, leading to more inclusive and user-friendly solutions.

    Consumer demand for transparent and user-friendly AI applications further fuels the dynamics of the Human-Centered AI market. Users increasingly value AI systems that are explainable, interpretable, and align with their values. The focus on user experience and ethical considerations resonates with consumers, encouraging the development and adoption of AI technologies that prioritize human well-being and foster positive societal impacts.

    Human Centered AI Market Size Graph
    Author
    Ankit Gupta
    Senior Research Analyst

    Ankit Gupta is an analyst in market research industry in ICT and SEMI industry. With post-graduation in "Telecom and Marketing Management" and graduation in "Electronics and Telecommunication" vertical he is well versed with recent development in ICT industry as a whole. Having worked on more than 150+ reports including consultation for fortune 500 companies such as Microsoft and Rio Tinto in identifying solutions with respect to business problems his opinions are inclined towards mixture of technical and managerial aspects.

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    FAQs

    How much is the Human-Centered AI market?

    The Human-Centered AI Market was valued at USD 11.27 Billion in 2024.

    What is the growth rate of the Human-Centered AI market?

    The global market is projected to grow at a CAGR of 20.62% during the forecast period, 2025-2034.

    Which region held the largest market share in the Human-Centered AI market?

    North America had the largest share of the global market.

    Who are the key players in the Human-Centered AI market?

    The key players in the market are IBM Corporation, Microsoft Corporation, Google LLC, Amazon Inc., Apple Inc., OpenAI, NVIDIA Corporation, Salesforce Inc., Nuance Communications, Cognizant, Accenture, Affectiva, Sentient Technologies, BenevolentAI and Zebra Technologies.

    Market Summary

    As per MRFR analysis, the Human-Centered AI Market Size was estimated at 11.28 USD Billion in 2024. The Human-Centered AI industry is projected to grow from 13.6 in 2025 to 88.69 by 2035, exhibiting a compound annual growth rate (CAGR) of 20.62 during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    The Human-Centered AI Market is experiencing a transformative shift towards ethical practices and user-centric designs.

    • The market is increasingly prioritizing ethical AI development to address societal concerns.
    • Interdisciplinary collaboration is becoming essential for advancing AI technologies in North America and Asia-Pacific.
    • User-centric design is driving innovation in assistance and support applications, which remain the largest segment.
    • The growing demand for personalization and advancements in natural language processing are key drivers of market expansion.

    Market Size & Forecast

    2024 Market Size 11.28 (USD Billion)
    2035 Market Size 88.69 (USD Billion)
    CAGR (2025 - 2035) 20.62%
    Largest Regional Market Share in 2024 Healthcare

    Major Players

    <p>Google (US), Microsoft (US), IBM (US), Amazon (US), Salesforce (US), NVIDIA (US), OpenAI (US), Meta (US), SAP (DE)</p>

    Market Trends

    The Human-Centered AI Market is currently experiencing a transformative phase, characterized by a growing emphasis on ethical considerations and user-centric design. Organizations are increasingly recognizing the necessity of integrating human values into artificial intelligence systems. This shift appears to stem from a broader societal demand for transparency, accountability, and inclusivity in technology. As a result, companies are investing in research and development to create AI solutions that prioritize user experience and societal impact. This trend suggests a potential redefinition of success in the tech industry, moving beyond mere efficiency to encompass the well-being of users and communities. Moreover, the Human-Centered AI Market is witnessing a surge in collaboration between technologists and social scientists. This interdisciplinary approach seems to enhance the understanding of human behavior and needs, leading to more effective AI applications. By fostering partnerships across diverse fields, organizations may develop solutions that are not only innovative but also resonate with users on a deeper level. This collaborative spirit indicates a promising future for AI technologies that are designed with empathy and understanding at their core, potentially reshaping the landscape of artificial intelligence in the years to come.

    Ethical AI Development

    There is a noticeable trend towards the ethical development of AI technologies. Companies are increasingly prioritizing ethical guidelines to ensure that their AI systems are fair, transparent, and accountable. This focus on ethics is likely to influence the design and deployment of AI solutions, fostering trust among users.

    Interdisciplinary Collaboration

    The Human-Centered AI Market is seeing a rise in interdisciplinary collaboration. By bringing together experts from various fields, organizations can better understand human needs and behaviors. This collaboration may lead to more effective and user-friendly AI applications, enhancing overall user experience.

    User-Centric Design

    A significant trend in the Human-Centered AI Market is the emphasis on user-centric design principles. Companies are increasingly focusing on creating AI systems that prioritize user experience, ensuring that technology is accessible and beneficial to a diverse range of users. This approach may redefine how AI solutions are developed and implemented.

    Human Centered AI Market Market Drivers

    Focus on Ethical AI Practices

    The Human-Centered AI Market is witnessing a growing emphasis on ethical AI practices. As concerns regarding bias and transparency in AI systems rise, organizations are prioritizing the development of ethical frameworks to guide AI deployment. This focus on ethics is not merely a regulatory response; it reflects a broader societal demand for responsible AI usage. Companies that adopt ethical AI practices are likely to gain consumer trust and enhance their brand reputation. Market data indicates that 65 percent of consumers are more likely to engage with brands that demonstrate a commitment to ethical AI. Thus, the integration of ethical considerations into AI development is becoming a fundamental driver in the Human-Centered AI Market.

    Increased Demand for Personalization

    The Human-Centered AI Market experiences a notable surge in demand for personalized solutions. As consumers increasingly seek tailored experiences, businesses are compelled to adopt AI technologies that prioritize user preferences and behaviors. This trend is reflected in market data, indicating that 70 percent of consumers express a preference for personalized interactions. Companies leveraging human-centered AI can enhance customer satisfaction and loyalty, ultimately driving revenue growth. Furthermore, the integration of AI in various sectors, such as retail and healthcare, allows for the creation of customized products and services, thereby fostering a more engaging user experience. This shift towards personalization not only meets consumer expectations but also positions organizations competitively within the Human-Centered AI Market.

    Advancements in Natural Language Processing

    Natural Language Processing (NLP) has emerged as a pivotal driver within the Human-Centered AI Market. Recent advancements in NLP technologies enable machines to understand and respond to human language with unprecedented accuracy. This capability enhances user interactions across various platforms, including chatbots and virtual assistants. Market data suggests that the NLP segment is projected to grow at a compound annual growth rate of 20 percent over the next five years. As organizations increasingly adopt NLP solutions, they can provide more intuitive and effective communication channels for users. This evolution not only improves user satisfaction but also streamlines operations, making NLP a critical component of the Human-Centered AI Market.

    Growing Investment in AI Research and Development

    Investment in research and development (R&D) within the Human-Centered AI Market is on the rise, driven by the increasing recognition of AI's transformative potential. Organizations are allocating substantial resources to explore innovative applications of AI that prioritize user experience and ethical considerations. Market data indicates that global investment in AI R&D is expected to reach 100 billion dollars by 2026, reflecting a robust commitment to advancing human-centered technologies. This influx of funding not only accelerates technological advancements but also encourages the development of solutions that align with user needs. As a result, the growing investment landscape is poised to significantly influence the trajectory of the Human-Centered AI Market.

    Interdisciplinary Collaboration in AI Development

    Interdisciplinary collaboration is increasingly recognized as a vital driver within the Human-Centered AI Market. By bringing together experts from diverse fields such as psychology, design, and computer science, organizations can create more effective and user-friendly AI solutions. This collaborative approach fosters innovation and ensures that AI technologies are developed with a comprehensive understanding of human needs and behaviors. Market data suggests that companies engaging in interdisciplinary teams are 30 percent more likely to produce successful AI products. As the demand for human-centered solutions grows, the importance of interdisciplinary collaboration in AI development becomes ever more pronounced within the Human-Centered AI Market.

    Market Segment Insights

    By Function: Assistance and Support (Largest) vs. Safety and Security (Fastest-Growing)

    <p>In the Human-Centered AI Market, the segment of Assistance and Support holds a prominent position, dominating the market share compared to other function segments. It is primarily utilized in areas such as customer service, chatbots, and virtual personal assistants, thereby facilitating seamless interactions between users and technology. Meanwhile, Safety and Security is steadily gaining traction, driven by the increasing demand for enhanced cybersecurity measures and risk management solutions in AI applications. The growth trajectory of both Assistance and Support and Safety and Security segments reflects the evolving landscape of human-centered AI. The post-pandemic world has accelerated the adoption of AI solutions, with organizations prioritizing efficiency and safety. The demand for automated assistance to optimize user experiences and the rising importance of safety measures underscore the significance of these segments. With continuous innovation, these functions are set to reshape industries and create value for end-users, making them critical to the market's future development.</p>

    <p>Assistance and Support (Dominant) vs. Safety and Security (Emerging)</p>

    <p>Assistance and Support stands as a dominant function in the Human-Centered AI Market, known for its applications in enhancing user experience through intuitive interactions. This segment leverages advanced natural language processing and machine learning to provide personalized services, making it invaluable across various industries, such as retail, healthcare, and finance. On the other hand, Safety and Security is an emerging segment that is quickly becoming essential as organizations grapple with cybersecurity threats. With the rise in data breaches and privacy concerns, this segment focuses on implementing AI-driven security solutions that not only protect sensitive information but also ensure compliance with regulations. Both segments are vital for the sustained growth and evolution of the Human-Centered AI market, bridging the gaps between user engagement and safety.</p>

    By Application: Medical Diagnostic (Largest) vs. Chatbots and Virtual Assistants (Fastest-Growing)

    <p>In the Human-Centered AI market, the application segment is characterized by diverse categories, including Medical Diagnostic, Chatbots and Virtual Assistants, Personalized Learning, Fraud Detection & Risk Assessment, Quality Control, Human Resources, and Others. Among these, Medical Diagnostic stands out as the largest segment, largely driven by advancements in AI technology facilitating accurate disease detection and patient management. Chatbots and Virtual Assistants are emerging rapidly, capturing a significant share of consumer interaction sectors with their ability to enhance communication and streamline processes across industries.</p>

    <p>Medical Diagnostic (Dominant) vs. Chatbots and Virtual Assistants (Emerging)</p>

    <p>The Medical Diagnostic segment thrives on the implementation of AI in healthcare, where technologies are increasingly employed to analyze medical data, suggest treatment options, and improve patient outcomes. This segment benefits from a growing emphasis on personalized medicine and efficiency in diagnosis. Conversely, Chatbots and Virtual Assistants are quickly becoming a preferred solution for customer service and engagement, providing businesses with cost-effective, 24/7 communication tools. As these technologies evolve, they are being integrated with machine learning algorithms to deliver increasingly sophisticated interactions, making them a vital component in enhancing user experiences across various sectors.</p>

    By End User: Healthcare (Largest) vs. Retail & E-commerce (Fastest-Growing)

    <p>In the Human-Centered AI Market, the end-user segment showcases diverse applications across various industries. Healthcare emerges as the largest segment, driven by the growing demand for personalized patient care and efficient healthcare solutions. Following closely, Retail & E-commerce has also gained substantial traction, fueled by the need for enhanced customer experiences and operational efficiencies through AI technologies. The distribution among other sectors such as Automobile, Education, Transportation & Logistics, and Manufacturing further illustrates the expanding horizons attributed to AI advancements in these fields.</p>

    <p>Healthcare (Dominant) vs. Retail & E-commerce (Emerging)</p>

    <p>Healthcare has established itself as the dominant end-user segment in the Human-Centered AI Market, characterized by its significant investments in AI-driven solutions. This sector leverages AI for applications such as predictive analytics, virtual health assistants, and diagnostic tools, enhancing patient outcomes and operational efficiencies. Conversely, Retail & E-commerce represents an emerging segment with a rapid growth trajectory, driven by technological innovations and an increasing emphasis on customer-centric strategies. Retailers are keen to implement AI to personalize shopping experiences, manage inventories efficiently, and streamline supply chain processes. Both sectors are integral to the evolving landscape of the Human-Centered AI Market, with distinct yet complementary roles.</p>

    Get more detailed insights about Human-Centered AI Market Research Report - Global Forecast till 2035

    Regional Insights

    North America : Innovation and Leadership Hub

    North America is the largest market for Human-Centered AI, holding approximately 45% of the global share. The region's growth is driven by significant investments in AI research and development, coupled with a robust technology infrastructure. Regulatory support from government initiatives, such as the National AI Initiative Act, further catalyzes market expansion. The demand for AI solutions in sectors like healthcare, finance, and retail is surging, reflecting a strong trend towards automation and enhanced user experiences. The United States leads the North American market, with key players like Google, Microsoft, and IBM driving innovation. The competitive landscape is characterized by rapid advancements in AI technologies, with companies focusing on ethical AI and user-centric designs. Canada also plays a significant role, fostering a vibrant startup ecosystem that complements the established giants. This dynamic environment positions North America as a leader in shaping the future of Human-Centered AI.

    Europe : Regulatory Framework and Growth

    Europe is witnessing rapid growth in the Human-Centered AI market, holding approximately 30% of the global share. The region's expansion is fueled by stringent regulations aimed at ensuring ethical AI use, such as the EU's AI Act, which promotes transparency and accountability. Countries like Germany and France are at the forefront, driving demand for AI solutions across various sectors, including manufacturing and automotive. The emphasis on data privacy and user rights is shaping the market landscape, encouraging responsible AI development. Germany is the largest market in Europe, supported by a strong industrial base and a focus on innovation. France follows closely, with significant investments in AI research and development. The competitive landscape features a mix of established companies like SAP and emerging startups, fostering collaboration and innovation. The presence of leading tech firms and a supportive regulatory environment positions Europe as a key player in the global Human-Centered AI market.

    Asia-Pacific : Rapid Adoption and Innovation

    Asia-Pacific is rapidly emerging as a significant player in the Human-Centered AI market, accounting for approximately 20% of the global share. The region's growth is driven by increasing digitalization, government initiatives promoting AI adoption, and a burgeoning tech-savvy population. Countries like China and India are leading the charge, with substantial investments in AI research and development. The demand for AI solutions in sectors such as e-commerce, healthcare, and finance is on the rise, reflecting a shift towards more personalized user experiences. China is the largest market in the region, supported by government policies that prioritize AI development. India follows closely, with a vibrant startup ecosystem and a focus on AI applications in various industries. The competitive landscape is characterized by a mix of local and international players, including major tech firms and innovative startups. This dynamic environment positions Asia-Pacific as a key region for the future of Human-Centered AI.

    Middle East and Africa : Emerging Opportunities in AI

    The Middle East and Africa region is gradually emerging in the Human-Centered AI market, holding approximately 5% of the global share. The growth is driven by increasing investments in technology infrastructure and government initiatives aimed at fostering innovation. Countries like the UAE and South Africa are leading the way, with a focus on integrating AI into various sectors, including healthcare and finance. The demand for AI solutions is expected to rise as businesses seek to enhance operational efficiency and customer engagement. The UAE is the largest market in the region, supported by government-led initiatives such as the UAE AI Strategy 2031, which aims to position the country as a global leader in AI. South Africa follows, with a growing tech ecosystem and increasing interest in AI applications. The competitive landscape features a mix of local startups and international players, creating a vibrant environment for AI development. This region presents significant opportunities for growth in the Human-Centered AI market.

    Key Players and Competitive Insights

    Major players in the Human-Centered AI Market are making substantial investments in research and development to expand their product/service portfolios, contributing to the market's robust growth. These market leaders are implementing various strategic initiatives to expand their global presence. Key developments include new product/service launches, mergers and acquisitions, contractual agreements, increased investments, and collaborations with other organizations. Given the competitive and evolving market landscape, competitors in the identity theft protection services industry are focusing on cost-effective offerings to thrive and expand.

    Some of the key players are focusing small and medium enterprise size by customizing offerings to reduce operational costs as a primary business strategy to benefit customers and expand market share. In recent years, the financial industry vertical has witnessed significant advancements in the human-centered AI industry. Key market players, including IBM Corporation, Microsoft Corporation, Google LLC, Amazon Inc., Apple Inc., OpenAI, NVIDIA Corporation, Salesforce Inc., Nuance Communications, Cognizant, Accenture, Affectiva, Sentient Technologies, BenevolentAI and Zebra Technologies and others, are driving innovation in human-centered AI, pushing the boundaries of computational capabilities.

    Key Companies in the Human Centered AI Market market include

    Industry Developments

    June 2023 - PepsiCo, Inc. has announced a partnership with the Stanford Institute for Human-Centered Artificial Intelligence, a non-profit dedicated to leading and shaping the future of artificial intelligence. PepsiCo intends to be the worldwide corporate leader in industrialized AI applications and responsible AI as the first CPG firm to join Stanford HAI's Corporate Affiliate Program, gaining insights that promote research, education, policy, and practice throughout the industry.

    Future Outlook

    Human Centered AI Market Future Outlook

    <p>The Human-Centered AI Market is projected to grow at a 20.62% CAGR from 2024 to 2035, driven by advancements in machine learning, user experience design, and increased demand for ethical AI solutions.</p>

    New opportunities lie in:

    • <p>Development of personalized AI-driven customer service platforms.</p>
    • <p>Integration of AI in remote healthcare monitoring systems.</p>
    • <p>Creation of AI tools for enhancing workplace productivity and collaboration.</p>

    <p>By 2035, the Human-Centered AI Market is expected to be a pivotal sector, driving innovation and economic growth.</p>

    Market Segmentation

    Function Outlook

    • Assistance and Support
    • Safety and Security
    • Decision-Making & Support
    • Workflow Automation
    • Collaboration
    • Others

    Application Outlook

    • Medical Diagnostic
    • Chatbots and Virtual Assistants
    • Personalized Learning
    • Fraud Detection & Risk Assessment
    • Quality Control
    • Human Resources
    • Others

    Human-Centered AI Market- End User Outlook

    • Healthcare
    • Automobile
    • Education
    • Retail & E-commerce
    • Transportation & Logistics
    • Manufacturing
    • Others

    Human-Centered AI Market- Function Outlook

    • Assistance and Support
    • Safety and Security
    • Decision-Making & Support
    • Workflow Automation
    • Collaboration
    • Others

    Human-Centered AI Market- Regional Outlook

    • US
    • Canada
    • Mexico

    Human-Centered AI Market- Application Outlook

    • Medical Diagnostic
    • Chatbots and Virtual Assistants
    • Personalized Learning
    • Fraud Detection & Risk Assessment
    • Quality Control
    • Human Resources
    • Others

    Report Scope

    MARKET SIZE 202411.28(USD Billion)
    MARKET SIZE 202513.6(USD Billion)
    MARKET SIZE 203588.69(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR)20.62% (2024 - 2035)
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies ProfiledMarket analysis in progress
    Segments CoveredMarket segmentation analysis in progress
    Key Market OpportunitiesIntegration of ethical frameworks in Human-Centered AI design enhances user trust and market adoption.
    Key Market DynamicsRising consumer demand for ethical AI solutions drives innovation and regulatory scrutiny in the Human-Centered AI Market.
    Countries CoveredNorth America, Europe, APAC, South America, MEA

    FAQs

    How much is the Human-Centered AI market?

    The Human-Centered AI Market was valued at USD 11.27 Billion in 2024.

    What is the growth rate of the Human-Centered AI market?

    The global market is projected to grow at a CAGR of 20.62% during the forecast period, 2025-2034.

    Which region held the largest market share in the Human-Centered AI market?

    North America had the largest share of the global market.

    Who are the key players in the Human-Centered AI market?

    The key players in the market are IBM Corporation, Microsoft Corporation, Google LLC, Amazon Inc., Apple Inc., OpenAI, NVIDIA Corporation, Salesforce Inc., Nuance Communications, Cognizant, Accenture, Affectiva, Sentient Technologies, BenevolentAI and Zebra Technologies.

    1. EXECUTIVE SUMMARY
      1. Market Attractiveness
      2. Analysis
      3. 1.1.1.
    2. Global Human-Centered AI Market, by Function
    3. Global Human-Centered AI Market, by Application
    4. Global Human-Centered
    5. AI Market, by End-user
      1. 1.1.4.
    6. Global Human-Centered AI Market, by Region
    7. MARKET INTRODUCTION
      1. Definition
      2. Scope of the Study
      3. Market Structure
      4. Key Buying Criteria
      5. Macro Factor Indicator Analysis
    8. RESEARCH METHODOLOGY
      1. Research Process
      2. Primary Research
      3. Secondary Research
      4. Market Size Estimation
      5. Forecast Model
      6. List of Assumptions
    9. MARKET DYNAMICS
      1. Introduction
      2. Drivers
        1. Growing Demand
        2. Increasing Use of AI to Personalize Experiences for Users
        3. Driver Impact
        4. Restraint Impact Analysis
      3. for AI in Medical Diagnosis
      4. Analysis
      5. 4.3.
      6. Restraints
      7. 4.3.1.
      8. Personal Data Usage for AI Applications Raises Privacy Concerns
      9. Opportunities
        1. The
        2. Significant Growth
        3. Increasing Use of AI-powered Educational Platforms
      10. Emphasis on Ethical Considerations in AI Development is Growing Stronger.
      11. of Human-AI Collaboration
      12. Challenge
        1. Adaption of Cross-Cultural
      13. Behaviors can be Challenging
      14. Covid-19 Impact Analysis
        1. Impact on Healthcare Sector such as Virtual
        2. Significant Impact on Remote Customer Services
        3. Growing Emphasize on Remote
      15. Assistance and Telemedicine
      16. Work Facilities
      17. 4.6.4.
      18. YOY growth 2020-202
      19. 5.
    10. COVID-19 IMPACT ON SUPPLY CHAIN DELAYSMARKET FACTOR ANALYSIS
      1. Value Chain Analysis/Supply Chain Analysis
      2. Porter’s Five
        1. Bargaining Power of Buyers
        2. Threat of New Entrants
        3. Threat of Substitutes
        4. Intensity of Rivalry
      3. Forces Model
      4. 5.2.1.
      5. Bargaining Power of Suppliers
    11. GLOBAL HUMAN-CENTERED AI MARKET, BY FUNCTION
      1. Introduction
      2. Assistance and Support
      3. Safety and Security
      4. Decision-Making
      5. & Support
      6. 6.5.
      7. Workflow Automation
      8. 6.6.
      9. Collaboration
      10. 6.7.
      11. Others
    12. GLOBAL
    13. HUMAN-CENTERED AI MARKET, BY APPLICATION
      1. Introduction
      2. Medical Diagnostic
      3. Chatbots and Virtual Assistants
      4. Personalized Learning
      5. Fraud Detection
      6. & Risk Assessment
      7. 7.6.
      8. Quality Control
      9. 7.7.
      10. Human Resources
      11. 7.8.
      12. Others
    14. GLOBAL
    15. HUMAN-CENTERED AI MARKET, BY END-USER
      1. Introduction
      2. Healthcare
      3. Automobile
      4. Education
      5. Retail & E-commerce
      6. Transportation & Logistics
      7. Manufacturing
      8. Others
    16. GLOBAL HUMAN-CENTERED
    17. AI MARKET SIZE ESTIMATION & FORECAST, BY REGION
      1. Introduction
      2. North America
        1. Market Estimates & Forecast, by Country,
      3. 9.2.2.
    18. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.2.4.
    19. Market Estimates & Forecast, by Application,
    20. Market Estimates & Forecast, by End-user, 2018-2032
      1. & Forecast, by Application, 2018-2032
      2. 9.2.6.
      3. Canada
      4. 9.2.6.1.
    21. US
    22. Market Estimates & Forecast, by Function, 2018-2032
    23. Market Estimates
    24. Market Estimates & Forecast, by End-user,
    25. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.2.6.3.
    26. Market Estimates & Forecast, by Application,
    27. Market Estimates & Forecast, by End-user, 2018-2032
      1. 9.2.7.2.
    28. Mexico
    29. Market Estimates & Forecast, by Function,
    30. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.3.
      2. Europe
      3. 9.3.1.
    31. Market Estimates & Forecast, by End-user,
    32. Market Estimates & Forecast, by Country, 2018-2032
      1. 9.3.3.
    33. Market Estimates & Forecast, by Function,
    34. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.3.5.
      2. UK
      3. 9.3.5.1.
    35. Market Estimates & Forecast, by End-user,
    36. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.3.5.3.
    37. Market Estimates & Forecast, by Application,
    38. Market Estimates & Forecast, by End-user, 2018-2032
      1. 9.3.6.2.
    39. Germany
    40. Market Estimates & Forecast, by Function,
    41. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.3.7.
      2. France
      3. 9.3.7.1.
    42. Market Estimates & Forecast, by End-user,
    43. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.3.7.3.
    44. Market Estimates & Forecast, by Application,
    45. Market Estimates & Forecast, by End-user, 2018-2032
      1. 9.3.8.2.
    46. Italy
    47. Market Estimates & Forecast, by Function,
    48. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.3.9.
      2. Spain
      3. 9.3.9.1.
    49. Market Estimates & Forecast, by End-user,
    50. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.3.9.3.
    51. Market Estimates & Forecast, by Application,
    52. Market Estimates & Forecast, by End-user, 2018-2032
      1. 9.3.10.2.
    53. Rest of Europe
    54. Market Estimates & Forecast, by Function,
    55. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.4.
      2. Asia-Pacific
      3. 9.4.1.
    56. Market Estimates & Forecast, by End-user,
    57. Market Estimates & Forecast, by Country, 2018-2032
      1. 9.4.3.
    58. Market Estimates & Forecast, by Function,
    59. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.4.5.
      2. China
      3. 9.4.5.1.
    60. Market Estimates & Forecast, by End-user,
    61. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.4.5.3.
    62. Market Estimates & Forecast, by Application,
    63. Market Estimates & Forecast, by End-user, 2018-2032
      1. 9.4.6.2.
    64. Japan
    65. Market Estimates & Forecast, by Function,
    66. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.4.7.
      2. India
      3. 9.4.7.1.
    67. Market Estimates & Forecast, by End-user,
    68. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.4.7.3.
    69. Market Estimates & Forecast, by Application,
    70. Market Estimates & Forecast, by End-user, 2018-2032
      1. 9.4.8.2.
    71. Australia
    72. Market Estimates & Forecast, by Function,
    73. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.4.9.
      2. Rest of Asia-Pacific
      3. 9.4.9.1.
    74. Market Estimates & Forecast, by End-user,
    75. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.4.9.3.
    76. Market Estimates & Forecast, by Application,
    77. Market Estimates & Forecast, by End-user, 2018-2032
      1. Rest of the World
        1. Market Estimates & Forecast, by Function,
      2. 9.5.2.
    78. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.5.4.
      2. Middle East
      3. 9.5.4.1.
    79. Market Estimates & Forecast, by End-user,
    80. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.5.4.3.
    81. Market Estimates & Forecast, by Application,
    82. Market Estimates & Forecast, by End-user, 2018-2032
      1. 9.5.5.2.
    83. Africa
    84. Market Estimates & Forecast, by Function,
    85. Market Estimates & Forecast, by Application, 2018-2032
      1. 9.5.6.
      2. Latin America
      3. 9.5.6.1.
    86. Market Estimates & Forecast, by End-user,
    87. Market Estimates & Forecast, by Function, 2018-2032
      1. 9.5.6.3.
    88. Market Estimates & Forecast, by Application,
    89. Market Estimates & Forecast, by End-user, 2018-2032
    90. COMPETITIVE LANDSCAPE
      1. Introduction
      2. Key Developments & Growth Strategies
      3. Competitor Benchmarking
      4. Vendor Share Analysis,
        1. Key Developments
        2. SWOT Analysis
        3. Key Strategies
      5. 11.
      6. COMPANY PROFILES
      7. 11.1.
      8. IBM Corporation
      9. 11.2.
      10. IBM Corporation
      11. 11.3.
      12. Microsoft Corporation
      13. 11.4.
      14. Google LLC
      15. 11.5.
      16. Amazon Inc.
      17. 11.6.
      18. Apple Inc.
      19. 11.7.
      20. OpenAI
      21. 11.8.
      22. NVIDIA Corporation
      23. 11.9.
      24. Salesforce Inc.
      25. 11.10.
      26. Nuance Communications
      27. 11.11.
      28. Cognizant
      29. 11.12.
      30. Accenture
      31. 11.13.
      32. Affectiva
      33. 11.14.
      34. Sentient Technologies
      35. 11.15.
      36. BenevolentAI
      37. 11.16.
      38. Zebra Technologies
      39. 11.16.1.
      40. Company Overview
      41. 11.16.2.
      42. Financial Overview
      43. 11.16.3.
      44. Solution/Applications Offered
      45. LIST
    91. OF TABLES
      1. TABLE
    92. MARKET SYNOPSIS 19
      1. TABLE
    93. GLOBAL HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 52
    94. GLOBAL HUMAN-CENTERED
    95. AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 55
    96. GLOBAL HUMAN-CENTERED AI MARKET, BY END-USER,
    97. GLOBAL HUMAN-CENTERED AI MARKET, BY REGION, 2018–2032
      1. (USD MILLION) 57
      2. TABLE
    98. NORTH AMERICA HUMAN-CENTERED AI MARKET, BY COUNTRY, 2018–2032 (USD MILLION)
      1. 61
      2. TABLE 7
    99. NORTH AMERICA HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION)
      1. 63
      2. TABLE 8
    100. NORTH AMERICA HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION)
      1. 64
      2. TABLE 9
    101. NORTH AMERICA HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION)
      1. 65
      2. TABLE 10
    102. US HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 66
    103. US HUMAN-CENTERED
    104. AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 66
    105. US HUMAN-CENTERED AI MARKET, BY END-USER,
    106. CANADA HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032
      1. (USD MILLION) 68
      2. TABLE
    107. CANADA HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION)
      1. 68
      2. TABLE 15
    108. CANADA HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 68
    109. MEXICO HUMAN-CENTERED
    110. AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 70
    111. MEXICO HUMAN-CENTERED AI MARKET, BY APPLICATION,
    112. MEXICO HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032
      1. (USD MILLION) 71
      2. TABLE
    113. EUROPE HUMAN-CENTERED AI MARKET, BY COUNTRY, 2018–2032 (USD MILLION) 71
    114. EUROPE HUMAN-CENTERED
    115. AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 73
    116. EUROPE HUMAN-CENTERED AI MARKET, BY APPLICATION,
    117. EUROPE HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032
      1. (USD MILLION) 74
      2. TABLE
    118. UK HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 74
    119. UK HUMAN-CENTERED
    120. AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 77
    121. UK HUMAN-CENTERED AI MARKET, BY END-USER,
    122. GERMANY HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032
      1. (USD MILLION) 79
      2. TABLE
    123. GERMANY HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION)
      1. 80
      2. TABLE 28
    124. GERMANY HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 80
    125. FRANCE HUMAN-CENTERED
    126. AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 81
    127. FRANCE HUMAN-CENTERED AI MARKET, BY APPLICATION,
    128. FRANCE HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032
      1. (USD MILLION) 82
      2. TABLE
    129. SPAIN HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 82
    130. SPAIN HUMAN-CENTERED
    131. AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 85
    132. SPAIN HUMAN-CENTERED AI MARKET, BY END-USER,
    133. ITALY HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032
      1. (USD MILLION) 85
      2. TABLE
    134. ITALY HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION)
      1. 85
      2. TABLE 37
    135. ITALY HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 87
    136. REST OF EUROPE
    137. HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 88
    138. REST OF EUROPE
    139. HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 88
    140. REST OF EUROPE
    141. HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 88
    142. ASIA-PACIFIC
    143. HUMAN-CENTERED AI MARKET, BY COUNTRY, 2018–2032 (USD MILLION) 90
    144. ASIA-PACIFIC
    145. HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 90
    146. ASIA-PACIFIC
    147. HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 91
    148. ASIA-PACIFIC
    149. HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 91
    150. CHINA HUMAN-CENTERED
    151. AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 92
    152. CHINA HUMAN-CENTERED AI MARKET, BY APPLICATION,
    153. CHINA HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032
      1. (USD MILLION) 93
      2. TABLE
    154. JAPAN HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 93
    155. JAPAN HUMAN-CENTERED
    156. AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 95
    157. JAPAN HUMAN-CENTERED AI MARKET, BY END-USER,
    158. INDIA HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032
      1. (USD MILLION) 96
      2. TABLE
    159. INDIA HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION)
      1. 96
      2. TABLE 53
    160. INDIA HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 99
    161. SOUTH KOREA
    162. HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 100
    163. SOUTH KOREA
    164. HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 101
    165. SOUTH KOREA
    166. HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 102
    167. REST OF ASIA-PACIFIC
    168. HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 102
    169. REST OF ASIA-PACIFIC
    170. HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 103
    171. REST OF ASIA-PACIFIC
    172. HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 104
    173. REST OF THE
    174. WORLD HUMAN-CENTERED AI MARKET, BY COUNTRY, 2018–2032 (USD MILLION) 104
    175. REST OF THE
    176. WORLD HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 104
    177. REST OF THE
    178. WORLD HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 105
    179. REST OF THE
    180. WORLD CAMERA MARKET, BY END-USER, 2018–2032 (USD MILLION) 106
    181. MIDDLE EAST HUMAN-CENTERED
    182. AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 106
    183. MIDDLE EAST HUMAN-CENTERED AI MARKET, BY
      1. APPLICATION, 2018–2032 (USD MILLION) 106
    184. MIDDLE EAST HUMAN-CENTERED AI MARKET, BY
      1. END-USER, 2018–2032 (USD MILLION) 108
    185. AFRICA HUMAN-CENTERED AI MARKET, BY FUNCTION,
    186. AFRICA HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032
      1. (USD MILLION) 109
      2. TABLE
    187. AFRICA HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 109
    188. LATIN AMERICA
    189. HUMAN-CENTERED AI MARKET, BY FUNCTION, 2018–2032 (USD MILLION) 111
    190. LATIN AMERICA
    191. HUMAN-CENTERED AI MARKET, BY APPLICATION, 2018–2032 (USD MILLION) 111
    192. LATIN AMERICA
    193. HUMAN-CENTERED AI MARKET, BY END-USER, 2018–2032 (USD MILLION) 112
    194. BUSINESS EXPANSIONS/PRODUCT
      1. LAUNCHES 112
      2. TABLE
    195. PARTNERSHIPS/AGREEMENTS/CONTRACTS/COLLABORATIONS 113
    196. ACQUISITIONS/MERGERS 114
    197. IBM CORPORATION: PRODUCTS
      1. OFFERED 115
      2. TABLE
    198. IBM CORPORATION: KEY DEVELOPMENT 115
    199. MICROSOFT CORPORATION: PRODUCTS OFFERED 117
    200. MICROSOFT CORPORATION:
      1. KEY DEVELOPMENT 119
      2. TABLE
    201. GOOGLE LLC: PRODUCTS OFFERED 120
    202. GOOGLE LLC: KEY DEVELOPMENT 120
    203. AMAZON INC.: PRODUCTS
      1. OFFERED 122
      2. TABLE
    204. AMAZON INC.: KEY DEVELOPMENT 123
    205. APPLE INC.: PRODUCTS OFFERED 124
    206. APPLE INC.: KEY DEVELOPMENT
      1. 124
      2. TABLE 86
      3. OPENAI: PRODUCTS OFFERED 128
    207. OPENAI: KEY DEVELOPMENT 130
    208. NVIDIA CORPORATION: PRODUCTS OFFERED 135
    209. NVIDIA CORPORATION:
      1. KEY DEVELOPMENT 138
      2. TABLE
    210. SALESFORCE INC.. : PRODUCTS OFFERED 139
    211. SALESFORCE INC.. : KEY DEVELOPMENT 142
    212. NUANCE COMMUNICATIONS:
      1. PRODUCTS OFFERED 143
      2. TABLE
    213. NUANCE COMMUNICATIONS: KEY DEVELOPMENT 146
    214. COGNIZANT: PRODUCTS OFFERED 147
    215. COGNIZANT: KEY
      1. DEVELOPMENT 150
      2. TABLE
    216. ACCENTURE: PRODUCTS OFFERED 152
    217. ACCENTURE: KEY DEVELOPMENT 154
    218. AFFECTIVA: PRODUCTS
      1. OFFERED 156
      2. TABLE
    219. AFFECTIVA: KEY DEVELOPMENT 158
    220. SENTIENT TECHNOLOGIES: PRODUCTS OFFERED 159
    221. SENTIENT TECHNOLOGIES:
      1. KEY DEVELOPMENT 161
      2. TABLE
    222. BENEVOLENTAI: PRODUCTS OFFERED 163
    223. BENEVOLENTAI: KEY DEVELOPMENT 165
    224. ZEBRA TECHNOLOGIES:
      1. PRODUCTS OFFERED 166
      2. TABLE
    225. ZEBRA TECHNOLOGIES: KEY DEVELOPMENT 168
    226. LIST OF FIGURES
    227. MARKET ATTRACTIVENESS ANALYSIS: GLOBAL HUMAN-CENTERED
      1. AI MARKET 20
      2. FIGURE
    228. GLOBAL HUMAN-CENTERED AI MARKET: MARKET STRUCTURE 22
    229. BOTTOM-UP AND TOP-DOWN APPROACHES 27
    230. NORTH AMERICA:
    231. HUMAN-CENTERED AI MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY COUNTRY (2022
      1. VS 2032) 30
      2. FIGURE
    232. EUROPE: HUMAN-CENTERED AI MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY
      1. COUNTRY (2022 VS 2032) 30
    233. ASIA–PACIFIC: HUMAN-CENTERED AI MARKET SIZE (USD MILLION)
    234. & MARKET SHARE (%), BY COUNTRY (2022 VS 2032) 31
    235. GLOBAL HUMAN-CENTERED AI MARKET SIZE (USD
    236. MILLION) & MARKET SHARE (%), BY FUNCTION (2022 VS 2032) 32
    237. GLOBAL HUMAN-CENTERED
    238. AI MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY APPLICATION (2022 VS 2032)
      1. 32
      2. FIGURE 9
    239. GLOBAL HUMAN-CENTERED AI MARKET SIZE (USD MILLION) & MARKET SHARE (%), BY END-USER
      1. (2022 VS 2032) 33
      2. FIGURE
    240. MARKET DYNAMIC ANALYSIS OF THE GLOBAL HUMAN-CENTERED AI MARKET 34
    241. DRIVER IMPACT ANALYSIS
      1. 34
      2. FIGURE 12
      3. RESTRAINT IMPACT ANALYSIS 35
    242. VALUE CHAIN: GLOBAL HUMAN-CENTERED AI MARKET 37
    243. PORTER''S FIVE
      1. FORCES ANALYSIS OF THE GLOBAL HUMAN-CENTERED AI MARKET 37
    244. GLOBAL HUMAN-CENTERED AI MARKET, BY FUNCTION,
      1. FIGURE
    245. GLOBAL HUMAN-CENTERED AI MARKET, BY FUNCTION, 2022 VS 2032 (USD MILLION) 45
    246. GLOBAL HUMAN-CENTERED
    247. AI MARKET, BY APPLICATION, 2022 (% SHARE) 48
    248. GLOBAL HUMAN-CENTERED AI MARKET, BY APPLICATION,
    249. GLOBAL HUMAN-CENTERED AI MARKET, BY END-USER, 2022 (% SHARE)
      1. 51
      2. FIGURE 20
    250. GLOBAL HUMAN-CENTERED AI MARKET, BY END-USER, 2022 VS 2032 (USD MILLION) 51
    251. GLOBAL HUMAN-CENTERED
    252. AI MARKET, BY REGION, 2022 (% SHARE) 54
    253. GLOBAL HUMAN-CENTERED AI MARKET, BY REGION, 2022
      1. VS 2032 (USD MILLION) 54
    254. NORTH AMERICA HUMAN-CENTERED AI MARKET, BY COUNTRY, 2022
      1. (% SHARE) 56
      2. FIGURE
    255. NORTH AMERICA HUMAN-CENTERED AI MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION)
      1. 56
      2. FIGURE 25
    256. NORTH AMERICA HUMAN-CENTERED AI MARKET, BY FUNCTION, 2022-2032 (USD MILLION) 56
    257. NORTH AMERICA
    258. HUMAN-CENTERED AI MARKET, BY APPLICATION, 2022-2032 (USD MILLION) 56
    259. NORTH AMERICA HUMAN-CENTERED
    260. AI MARKET, BY END-USER, 2022-2032 (USD MILLION) 56
    261. EUROPE HUMAN-CENTERED AI MARKET, BY COUNTRY,
      1. FIGURE
    262. EUROPE HUMAN-CENTERED AI MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION) 62
    263. EUROPE HUMAN-CENTERED
    264. AI MARKET, BY FUNCTION, 2022-2032 (USD MILLION) 62
    265. EUROPE HUMAN-CENTERED AI MARKET, BY APPLICATION,
    266. EUROPE HUMAN-CENTERED AI MARKET, BY END-USER, 2022-2032 (USD
      1. MILLION) 64
      2. FIGURE
    267. ASIA-PACIFIC HUMAN-CENTERED AI MARKET, BY COUNTRY, 2022 (% SHARE) 65
    268. ASIA-PACIFIC
    269. HUMAN-CENTERED AI MARKET, BY COUNTRY, 2022 VS 2032 (USD MILLION) 65
    270. ASIA-PACIFIC HUMAN-CENTERED
    271. AI MARKET, BY FUNCTION, 2022-2032 (USD MILLION) 65
    272. ASIA-PACIFIC HUMAN-CENTERED AI MARKET,
      1. BY APPLICATION, 2022-2032 (USD MILLION) 65
    273. ASIA-PACIFIC HUMAN-CENTERED AI MARKET,
      1. BY END-USER, 2022-2032 (USD MILLION) 76
    274. REST OF THE WORLD HUMAN-CENTERED AI MARKET, BY
      1. COUNTRY, 2022 (% SHARE) 77
    275. REST OF THE WORLD HUMAN-CENTERED AI MARKET, BY COUNTRY, 2022
      1. VS 2032 (USD MILLION) 78
    276. REST OF THE WORLD HUMAN-CENTERED AI MARKET, BY FUNCTION,
    277. REST OF THE WORLD HUMAN-CENTERED AI MARKET, BY APPLICATION,
    278. REST OF THE WORLD HUMAN-CENTERED AI MARKET, BY END-USER,
    279. GLOBAL HUMAN-CENTERED AI MARKET: COMPETITIVE BENCHMARKING
      1. 80
      2. FIGURE 44
      3. VENDOR SHARE ANALYSIS (2022) (%) 98
    280. IBM CORPORATION: FINANCIAL OVERVIEW SNAPSHOT 99
    281. IBM CORPORATION:
      1. SWOT ANALYSIS 100
      2. FIGURE
    282. MICROSOFT CORPORATION: FINANCIAL OVERVIEW SNAPSHOT 101
    283. MICROSOFT CORPORATION: SWOT ANALYSIS 101
    284. GOOGLE LLC:
      1. FINANCIAL OVERVIEW SNAPSHOT 101
    285. GOOGLE LLC: SWOT ANALYSIS 101
    286. AMAZON INC.: FINANCIAL OVERVIEW SNAPSHOT
      1. 117
      2. FIGURE
    287. AMAZON INC.: SWOT ANALYSIS 118
    288. APPLE INC.: FINANCIAL OVERVIEW SNAPSHOT 119
    289. APPLE INC.: SWOT ANALYSIS
      1. 119
      2. FIGURE
    290. OPENAI: FINANCIAL OVERVIEW SNAPSHOT 119
    291. OPENAI: SWOT ANALYSIS 122
    292. NVIDIA CORPORATION:
      1. FINANCIAL OVERVIEW SNAPSHOT 123
    293. NVIDIA CORPORATION: SWOT ANALYSIS 124
    294. SALESFORCE INC.. : FINANCIAL OVERVIEW SNAPSHOT
      1. 125
      2. FIGURE
    295. SALESFORCE INC.. : SWOT ANALYSIS 126
    296. NUANCE COMMUNICATIONS: FINANCIAL OVERVIEW SNAPSHOT
      1. 127
      2. FIGURE
    297. NUANCE COMMUNICATIONS: SWOT ANALYSIS 128
    298. COGNIZANT: FINANCIAL OVERVIEW SNAPSHOT
      1. 129
      2. FIGURE
    299. COGNIZANT: SWOT ANALYSIS 130
    300. ACCENTURE: FINANCIAL OVERVIEW SNAPSHOT 131
    301. ACCENTURE: SWOT ANALYSIS
      1. 133
      2. FIGURE
    302. AFFECTIVA: FINANCIAL OVERVIEW SNAPSHOT 135
    303. AFFECTIVA: SWOT ANALYSIS 136
    304. SENTIENT TECHNOLOGIES:
      1. FINANCIAL OVERVIEW SNAPSHOT 138
    305. SENTIENT TECHNOLOGIES: SWOT ANALYSIS 139
    306. BENEVOLENTAI: FINANCIAL
      1. OVERVIEW SNAPSHOT 140
      2. FIGURE
    307. BENEVOLENTAI: SWOT ANALYSIS 142
    308. ZEBRA TECHNOLOGIES: FINANCIAL OVERVIEW SNAPSHOT
      1. 143
      2. FIGURE
    309. ZEBRA TECHNOLOGIES: SWOT ANALYSIS 145
      1. NOTE:
      2. This table of content is tentative and subject to change as the research
      3. progresses.
      4. In section 14, only the top 10-15 companies will be profiled. Each company will
      5. be profiled based on the Market Overview, Financials, Application Portfolio, Business
      6. Strategies, and Recent Developments parameters.
      7.  The companies are selected based on two broad criteria¬–
      8. strength of Function portfolio and excellence in business strategies.
      9.  Key parameters considered
      10. for evaluating strength of the vendor’s Function portfolio are industry experience,
      11. Function capabilities/features, innovations/R&D investment, flexibility to customize
      12. the Function, ability to integrate with other systems, pre- and post-sale Applications,
      13. and customer ratings/feedback.
      14.  Key parameters considered for evaluating a vendor’s excellence
      15. in business strategy are its market share, global presence, customer base, partner
      16. ecosystem (Application alliances/resellers/distributors), acquisitions, and marketing
      17. strategies/investments.
      18.  The financial details of the company cannot be provided if the information
      19. is not available in the public domain and or from reliable sources.  

    Human-Centered AI Market Segmentation

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    • Comprehensive analysis by multiple parameters
    • Regional and country-level breakdowns
    • Market size forecasts by segment
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