The Human-Centered AI market is influenced by a variety of factors that collectively shape its growth and impact on industries. One pivotal factor driving the adoption of Human-Centered AI is the increasing emphasis on creating AI systems that prioritize human needs, values, and ethical considerations. As organizations recognize the importance of aligning AI technologies with human-centric principles, the demand for solutions that enhance user experience, promote transparency, and address ethical concerns becomes a driving force in the market.
Technological advancements play a key role in shaping the dynamics of the Human-Centered AI market. As AI technologies evolve, innovations such as natural language processing, computer vision, and explainable AI contribute to creating more user-friendly and understandable AI systems. These advancements empower organizations to design AI applications that augment human capabilities, fostering collaboration and trust between humans and AI.
Regulatory considerations are critical factors influencing the adoption of Human-Centered AI. Governments and regulatory bodies are increasingly introducing guidelines and standards to ensure ethical AI practices, protect user privacy, and prevent biases in AI algorithms. Organizations adopting Human-Centered AI solutions need to navigate and comply with these evolving regulatory frameworks, shaping the development and deployment of human-centric AI technologies.
Market competition is another significant factor shaping the Human-Centered AI landscape. With diverse stakeholders, including technology developers, AI solution providers, and industry-specific applications, competition fosters innovation. Companies strive to differentiate themselves by offering AI solutions that prioritize user experience, address biases, and align with ethical guidelines. This competitive environment contributes to the continuous improvement and refinement of Human-Centered AI technologies.
Economic conditions and funding opportunities contribute to the trajectory of the Human-Centered AI market. As organizations recognize the potential of human-centric AI in improving productivity, enhancing decision-making, and delivering more personalized experiences, investments in research, development, and implementation of such solutions increase. Public and private funding initiatives play a crucial role in supporting projects that aim to integrate Human-Centered AI into various industries, enabling organizations to harness the benefits of AI while ensuring a human-centric approach.
Global trends in AI and technology, such as the rise of responsible AI practices and the integration of AI in diverse sectors, align with the principles of Human-Centered AI. The increasing awareness of ethical considerations, bias mitigation, and user-centric design resonates with the core tenets of Human-Centered AI. Organizations across industries are recognizing the importance of incorporating human values into AI development, shaping the market as a response to these global trends.
Ethical considerations and public perception also impact the Human-Centered AI market. As AI technologies become more prevalent in daily life, addressing concerns related to bias, privacy, and accountability becomes crucial. Ensuring transparency, fairness, and inclusivity in AI applications helps build trust among users and stakeholders. Organizations that prioritize ethical considerations in their Human-Centered AI solutions are likely to receive positive reception from the public and gain a competitive edge in the market.
Report Attribute/Metric | Details |
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Segment Outlook | Function, Application, End User and Region |
Human-Centered AI Market Size was valued at USD 8.06 billion in 2022. The Human-Centered AI Market industry is projected to grow from USD 9.35 billion in 2023 to USD 48.46 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 20.6% during the forecast period (2023 - 2032).
Human-centered AI learns via human input and collaboration, with an emphasis on algorithms that reside inside a wider, human-based system. Human-centered AI refers to systems that are always evolving as a result of human input while delivering an effective human-robot interaction. Human-centered AI extends the boundaries of previously limited artificial intelligence solutions to bridge the gap between machine and human being by developing machine intelligence with the purpose of understanding human language, emotion, and behavior. To give customized behavioral insights, advanced contextual analytics blend data and human science. Patterns emerge when analytics are applied to human actions and choices. Contextual analytics integrate data and human science to provide vastly better, individualized customer experiences.
FIGURE 1: HUMAN-CENTERED AI MARKET SIZE 2018-2032 (USD BILLION)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
There was a rising emphasis on the ethical and responsible use of artificial intelligence, particularly in areas such as bias prevention, fairness, and transparency. Companies were investing more in AI ethics research and technologies to ensure that AI systems treated all users fairly and without bias. The topic of AI ethics is quickly expanding, with researchers and academics focused on establishing frameworks and methods to identify and eliminate bias in AI systems, assure transparency, and address other ethical concerns. This research can help practitioners and policymakers. There is a growing number of tools and frameworks available to help developers and data scientists build ethical AI systems. These tools aid in the detection and reduction of bias, as well as the assessment of fairness and explain ability. When selecting products and companies to support, consumers and investors are increasingly considering ethical factors. Companies that can demonstrate a commitment to responsible artificial intelligence may gain a competitive advantage. The topic of AI ethics is quickly expanding, with researchers and academics focused on establishing frameworks and methods to identify and eliminate bias in AI systems, assure transparency, and address other ethical concerns. This research can help practitioners and policymakers.
The Human-Centered AI Market, in this report, has been segmented based on Function into assistance and support, safety and security, decision-making & support, workflow automation, collaboration and others.
The assistance and support segment holds the largest share of the total market share while. AI-powered aid and support systems can help organizations improve customer service by providing round-the-clock assistance, answering inquiries, and addressing issues. Second, AI can be used to automate processes such as appointment scheduling, customer record management, and product suggestions. This allows human workers to concentrate on more complex activities, such as delivering individualized customer support. Third, artificial intelligence (AI) can be used to collect and analyze data in order to find trends and patterns that can help organizations enhance their products and services. Because of its capacity to improve customer service, automate repetitive operations, and ensure 24/7 availability, assistance and support AI systems have experienced extensive acceptance across a variety of industries. They provide instant benefit in the form of cost reductions and better customer experiences.
The Human-Centered AI Market, in this report, has been segmented on the basis of Application into medical diagnostic, chatbots and virtual assistants, personalized learning, fraud detection & risk assessment, quality control, and human resources.
Chatbots and virtual assistants holds the largest share of the total share. Chatbots and virtual assistants can provide customer care 24 hours a day, seven days a week, which is becoming increasingly vital as organizations shift to a more digital-first approach. Second, chatbots and virtual assistants can be used to automate processes such as appointment scheduling, answering enquiries, and problem resolution. This allows human workers to concentrate on more complex activities, such as delivering individualized customer support. Third, chatbots and virtual assistants can be used to collect and analyze data in order to find trends and patterns that will assist businesses in improving their products and services.AI can be used to automate operations like as staff recruitment, onboarding, and training. This allows human resources specialists to concentrate on more important tasks.
The Human-Centered AI Market, in this report, has been segmented based on End User into healthcare, automobile, education, retail & e-commerce, transportation & logistics, manufacturing, and others.
The healthcare segment holds the largest share of the total market share while. Artificial intelligence is being utilized to create new diagnostic instruments and improve the accuracy of existing ones. This results in better patient outcomes and lower expenditures. Second, artificial intelligence is being utilized to personalize treatment programs for patients based on their unique needs and illnesses. This results in higher patient satisfaction and better clinical outcomes. Third, AI is being utilized to automate operations including as appointment scheduling, patient record management, and reminders. This frees up healthcare personnel to focus on more complex responsibilities, such as patient care.
Based on Region, the global Human-Centered AI is segmented into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. Further, the major countries studied in the market report are the U.S., Canada, Germany, UK, Italy, Spain, China, Japan, India, Australia, UAE, and Brazil.
The North America Human-Centered AI market is a growing region. North America was one of the first to use AI technology. This is owing to the region's significant investment in R&D, as well as the existence of a high number of AI companies and research organizations. North America places a high value on innovation and research. This is reflected in the number of AI startups and research institutes in the region, as well as government and commercial investment in AI research and development. HCAI is being utilized to improve customer service, personalize product recommendations, and manage inventories more effectively. One of the most well-known examples is Amazon's use of AI to propose products to customers.
The Asia Pacific Human-Centered AI market is having highest growth rate. Asia-Pacific has a huge and expanding population, as well as a significant demand for healthcare, education, and other services that AI can improve. This is also propelling the market in this region forward. Asia-Pacific has a robust manufacturing industry that is leveraging artificial intelligence to automate activities, increase quality control, and optimize production processes. This is also propelling the market in this region forward.
FIGURE 2: HUMAN-CENTERED AI MARKET SIZE BY REGION 2022 VS 2032 (USD BILLION)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
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.
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.
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