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Growth Patterns, Market Segmentation, and Competitive Approaches Influencing the Human-centered Artificial Intelligence (AI) Market

05-19-2026 06:14 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Human-centered Artificial Intelligence (AI) Market

Human-centered Artificial Intelligence (AI) Market

The human-centered artificial intelligence (AI) market is set to experience remarkable expansion over the coming years, driven by growing emphasis on ethical AI practices and broader adoption across industries. As businesses increasingly prioritize responsible AI deployment, this sector is poised for transformative growth, reshaping how AI technologies integrate with human capabilities and enterprise operations.

Projected Growth Trajectory of the Human-centered Artificial Intelligence Market
The market for human-centered AI is anticipated to expand significantly, reaching a value of $35.57 billion by 2030. This represents an impressive compound annual growth rate (CAGR) of 20.6%. The surge in market size is largely fueled by the implementation of global AI ethics regulations, the rising use of human-in-the-loop AI models, growing demands for enterprise trust in AI systems, and the widespread integration of AI across various business functions. Additionally, there is a strong focus on fostering responsible innovation within AI development. Important trends during this period include the design of ethical and accountable AI systems, enhanced collaboration between humans and AI, transparent and explainable AI models, frameworks for detecting bias and ensuring fairness, and governance structures centered on user engagement.

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Key Players Influencing the Human-centered AI Market
Several leading corporations are actively shaping the human-centered AI landscape. These include Amazon.com Inc., Apple Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Hitachi Ltd., Siemens AG, accenture* plc, IBM, Deloitte, PricewaterhouseCoopers LLP, Ernst & Young Global Limited, Mitsubishi Electric Corporation, KPMG International Limited, SAP SE, Fujitsu Limited, NTT Data Corporation, Tata Consultancy Services Limited, NVIDIA Corporation, Salesforce Inc., Capgemini SE, Cognizant Technology Solutions Corporation, Infosys Limited, CGI Inc., HCL Technologies Limited, Wipro Limited, DeepMind Technologies Limited, Anthropic Inc., and DXC Technology Company.

In a notable development from June 2023, PepsiCo Inc., a major US food and beverage enterprise, announced a partnership with the Stanford Institute for Human-Centered Artificial Intelligence to support the advancement of responsible AI standards. This collaboration makes PepsiCo the first consumer packaged goods company to join Stanford HAI's corporate affiliate program, underscoring its commitment to ethical AI use within the industry. The Stanford Institute for Human-Centered Artificial Intelligence is a prominent research center within Stanford University focusing on AI research, education, policy, and ethical AI implementation.

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Emerging Trends Highlighting Opportunities in Human-centered AI
Leading organizations in this market are investing in technologies that emphasize human capabilities AI-systems designed to enhance and complement human skills rather than replace them. This approach aims to improve collaboration between humans and machines for better outcomes.

For example, in September 2023, Ernst & Young Global Limited, headquartered in the UK, introduced EY.ai, a platform that merges human expertise with advanced AI tools to assist clients in transforming their operations through responsible AI adoption. The platform combines EY's cutting-edge technology, AI abilities, and extensive experience in strategy, transactions, transformation, risk, assurance, and tax services, supported by a comprehensive AI ecosystem.

Breakdown of Market Segments Driving Human-centered AI Growth
The human-centered AI market is categorized across several key segments, which include:

1) Component: Solutions and Services
2) Technology: Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Image Processing, and Speech Recognition
3) Deployment: Cloud-based and On-Premises
4) Organization Size: Small Businesses, Medium-Sized Businesses, and Large Enterprises
5) Application: Security and Risk Management, Marketing Management, Customer Support and Experience, Human Resource and Recruitment Management, Behavioral Science, Process Automation, and Other Applications

Further subdivisions within these segments include:

- Solutions: AI Software, AI Hardware, AI Platforms, AI Tools for NLP, AI for ML and Deep Learning, and AI-Based Cognitive Computing Solutions
- Services: AI Consulting, Integration, Training and Support, Managed Services, Development, and Data Annotation

This comprehensive segmentation helps to capture the diverse ways in which human-centered AI technologies are being developed, deployed, and utilized across different sectors and organizational scales.

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