Human-Centered AI Market Overview

The Human-Centered AI market was estimated to be worth USD 8.06 billion in 2022. The Human-Centered artificial intelligence market is expected to grow from USD 9.35 billion in 2023 to USD 48.46 billion by 2032 at a CAGR of 20.6% during the forecast period. (2023 – 2032). Human-centered AI learns through human input and collaboration, with an emphasis on algorithms that reside within a larger human-based system. Human-centered artificial intelligence refers to systems that are always evolving as a result of human input and that ensure effective human-robot interaction.

Key Companies in the Human-Centered AI Market Include

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Amazon Inc.
• Apple Inc.
• OpenAI
• NVIDIA Corporation
• Salesforce Inc.
• Nuance Communications
• Cognizant
• Accenture
• Affectiva
• Sentient Technologies
• Benevolent AI
• Zebra Technologies

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Human-centered AI expands the boundaries of previously limited AI solutions to bridge the gap between machine and human, developing machine intelligence that aims to understand human language, emotions, and behavior. Advanced contextual analytics combines data and the human sciences to deliver tailored behavioral insights. Models are created when analysis is applied to human actions and choices. Contextual analytics combines data and the human sciences to deliver significantly better-individualized customer experiences. The ethical and responsible use of artificial intelligence was particularly emphasized in areas such as anti-bias, fairness, and transparency. Companies are investing more in AI ethics and technologies to ensure that AI systems treat all users fairly and impartially. The topic of AI ethics is rapidly expanding, and scientists and researchers are focusing on creating frameworks and methods to identify and eliminate biases, transparency, and other ethical issues in AI systems. This study can help practitioners and policymakers in the field. A growing number of tools and frameworks are available to help developers and data scientists build ethical AI systems. These tools help detect and reduce bias, as well as assess fairness and clarify capacity.

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In this report, the Human-Centered AI market is segmented by function such as assistance and support,  security, decision making and support, workflow automation, collaboration and others.

In this report, the Human-Centered AI market is segmented on the basis of  medical diagnostics, chatbots and virtual assistants, personalized learning, fraud detection and risk assessment, quality control and human resources.

In this report, the Human-Centered artificial intelligence market is segmented based on end-users into healthcare, automotive, education, retail and e-commerce, transportation and logistics, manufacturing, and others.

On the basis of region, global Human-Centered AI is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and South America.

The Human-Centered AI market in North America  is a growing region. North America was one of the first to adopt AI technology. This is due to the region’s significant investment in R&D and the presence of many AI companies and research organizations. In North America, innovation and research are important. This is reflected in the number of AI companies and research institutes in the region, as well as government and business investment in AI R&D. HCAI is used to improve customer service, personalize product recommendations and effectively manage inventory. One of the most famous examples is Amazon’s use of artificial intelligence to recommend products to customers.

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