Human-centered AI Market Outlook:
Human-centered AI Market size was valued at USD 13.47 billion in 2025 and is expected to reach USD 93.66 billion by 2035, expanding at around 21.4% CAGR during the forecast period i.e., between 2026-2035. In the year 2026, the industry size of human-centered AI is evaluated at USD 16.06 billion.
The increasing growth of the healthcare sector worldwide will propel the primary reason behind the growth of the human-centered AI market. Brazil has comprehensive health care which encircles 75% of the population. 25% of the population gets care through a private system which is mainly paid for by employers. The private system extended quickly to match the requirement for services, however medical expansion for the private sector is running at 17.3%, and chief employers are to ask for solutions and services to maintain healthcare costs. Healthcare isn’t just regarding hospitals. It is an extensive compass including clinical trials, medical devices, telemedicine, externalizing, medical tourism, insurance, etc. The medical system is mostly splintered into two sections: the public and the private sector.
Another reason that will propel the human-centered AI market by the end of 2036 is the increasing adoption of AI across the world. The approval rate of artificial intelligence (AI) is projected to acquire substantial significance in material growth organizations globally between 2022 and 2025. Recently, organizations functioning in that sector have mainly reported restricted agreement with AI in their generation cycles. Technology executives projected this to transform substantially by 2025. Artificial Intelligence (AI) is an inclining technology that is being utilized for automating human functions with 99.9% precision and taking efficiency to new heights. This revolutionizing technology is playing a critical role in the design and growth of the most progressed solutions that make their lives wiser. AI is encircled with the most outstanding technologies like ML, Natural Language Processing, Robotic Process Automation (RPA), Predictive Analytics, computer vision, etc. Utilizing the strength of all these technologies, the inclining AI-driven software applications are presenting incredible possibilities to organizations in many ways.
Key Human-centered AI Market Insights Summary:
Regional Highlights:
- North America human-centered AI market achieves a 39% share by 2035, driven by the increasing adoption of AI in the education sector.
- Asia Pacific market will register significant growth during the forecast timeline, driven by rising investment in human-centered AI in retail and e-commerce.
Segment Insights:
- The assistance & support segment in the human-centered ai market is anticipated to achieve a 48% share by 2035, driven by the adoption of AI in 24/7 healthcare support and service automation.
- The chatbots & virtual assistants segment in the human-centered ai market is anticipated to capture a 35% share by 2035, driven by the rising adoption of AI chatbots to improve customer experience.
Key Growth Trends:
- Customization and Resilience of AI
- Enlargement of Human Proficiency and Judgment
Major Challenges:
- Problems Associated with Incorrect and Bias Generated Output
- Side Effects of Blue Ray
Key Players: IBM Corporation, Google LLC., OpenAI, Microsoft Corporation, Apple Inc., Amazon Inc., NVIDIA Corporation, Cognizant, Salesforce Inc., Accenture, ABEJA Inc., LeapMind Inc., SoftBank Group Corporation, AI Technology Inc.
Global Human-centered AI Market Forecast and Regional Outlook:
Market Size & Growth Projections:
- 2025 Market Size: USD 13.47 billion
- 2026 Market Size: USD 16.06 billion
- Projected Market Size: USD 93.66 billion by 2035
- Growth Forecasts: 21.4% CAGR (2026-2035)
Key Regional Dynamics:
- Largest Region: North America (39% Share by 2035)
- Fastest Growing Region: Asia Pacific
- Dominating Countries: United States, China, Germany, United Kingdom, Japan
- Emerging Countries: China, India, Singapore, South Korea, Japan
Last updated on : 16 September, 2025
Human-centered AI Market Growth Drivers and Challenges:
Growth Drivers
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Customization and Resilience of AI - It is usually comprehended that the flexibility of critical information technology (IT) systems dependent on artificial intelligence (AI) must be confirmed. In this respect, people think of flexibility both in terms of IT protection threats, like cyberattacks, along with the skill to forcefully continue under doubtful and transforming environmental situations, like climate change or economic crises. When people think about generative AI, the lowest-dangling fruits look to be software growth and marketing before everything else. Certainly, it is noticed that 92% of programmers already utilize AI tools equivalent to growth benefits like Stack Overflow. However, service organizations can unlock substantial profits from Gen AI approval if they know where to notice.
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Enlargement of Human Proficiency and Judgment - It can identify facial patterns better than humans - in a study that related photos of real humans to photos of tricked human faces, AI technology recognized photos 143% more precisely and 10 times more promptly than human participants. And, AI can even satisfy them that it is a human, too – this year, ChatGPT approved the Turing test in a study executed by OpenAI and Stanford University, fooling over half of the surveyors into trusting they were communicating with a human instead of a machine.
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Maintenance of Human Autonomy and Manage - The transformation is part of the digital shift as the industry starts to move from industrial automation to industrial autonomy (IA2IA). Industrial autonomy surpasses industrial automation by putting layers of smart sensing and machine comprehension to comprehend and allow unexpected situations – thus increasing or limiting the requirement for human intercession. Industrial autonomy allows organizations to grow fresh and increased capacities in all fields comprising generation, planning and scheduling, allocation and supply chain maintenance, engineering, area operations, and management.
Challenges
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Problems Associated with Incorrect and Bias Generated Output - A biased AI system can result in the unfair and incorrect allocation of resources, impede upon individual liberties, restrict opportunities, and hurt the safety and well-being of citizens. It is indisputable that the digital market is continuously transforming and that they are utilized to it, but in current months Artificial Intelligence (AI) and its influences on those who work online have kept many marketing professionals and content creators up at night. That’s because while AI systems have grown an entire part of their daily lives and have converted the way people communicate with technology, they are exposed to biases that can lead to accidental effects — such as any human creation.
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Side Effects of Blue Ray
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Lack of Knowledge in People
Human-centered AI Market Size and Forecast:
| Report Attribute | Details |
|---|---|
|
Base Year |
2025 |
|
Forecast Period |
2026-2035 |
|
CAGR |
21.4% |
|
Base Year Market Size (2025) |
USD 13.47 billion |
|
Forecast Year Market Size (2035) |
USD 93.66 billion |
|
Regional Scope |
|
Human-centered AI Market Segmentation:
Function (Assistance & Support, Safety and Security, Decision-making & Support, Workflow Operation, Collaboration)
The assistance & support segment in the human-centered AI market will grow the most by the forecast period and will hold almost 48% because of its wide use in modifying customer service by giving round-the-clock guidance. Ever since the international epidemic eruption, the healthcare sector has been dependent massively on progressed technologies such as conversational AI, computerization, machine learning (ML), and natural language processing (NLP) to work with patients, which is a game-changer. Spending on IT solutions for the Healthcare industry, like helpdesks, IT service management (ITSM), and AI chatbots, are devoted substitutes for patients looking to comprehend the cause of their indications. With contemporary healthcare helpdesks that influence the power of Generative AI, natural language processing (NLP), and progressed algorithms, hospitals can limit employee burden, enter precise data, get customized guidance, and make employees pleased. Picture a globe where Healthcare employees have an intelligent chatbot or helpdesk solution accessible day and night, equal to responding to their questions, assisting them with recurrent and time-consuming administrative projects and techniques, and giving real-time support.
Application (Medical Diagnostics, Chatbots & Virtual Assistants, Personalized Learning, Fraud Detection & Risk Assessment, Quality Control, Human Resources)
The chatbots & virtual assistants segment in the human-centered AI market will have superior growth during the forecast period and will hold around 35% of the revenue share owing to the increasing use of chatbots in companies across the world. 23% of customer service companies are currently using AI chatbots. Chat Bot can be skilled to answer customer service questions and give quick solutions, day in and day out. With the utilization of chatbots, a lot of companies can now increase their clientele service experience and contentment, thereby modifying their answer time, pushing new sales, and limiting clientele service above. Chatbot applications can assist in rationalizing communications between people and services, thereby increasing customer experience. Chatbots also present scopes to modify customer involvement techniques and operational effectiveness by limiting the total cost of customer service.
Our in-depth analysis of the global human-centered AI market includes the following segments:
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Function |
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Application |
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End-User |
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Vishnu Nair
Head - Global Business DevelopmentCustomize this report to your requirements — connect with our consultant for personalized insights and options.
Human-centered AI Market Regional Analysis:
North American Market
North America industry is likely to hold largest revenue share of 39% by 2035, owing to increasing adoption of AI in the education sector in this region. This growth will be noticed owing to the increasing adoption of AI in the education sector in this region. Although early days, the outcomes recommend that AI is already producing important value. 40% of plaintiffs reported substantial worth and 40% reported less value has been acquired from AI’s utilization in learning processes. 2023 is being noticeable by the detonation of generative Artificial Intelligence (AI), like ChatGPT, which has increased both passion about its possibility, along fear about its disadvantages, specifically in educational systems worldwide.
APAC Market
Asia Pacific region is expected to register significant growth till 2035 and will hold the second position owing to the increasing use of human-centered AI in Retail & E-Commerce in this region. Japanese companies are also spending massively on AI to transform customer experience. The country’s AI investing is projected to touch USD 12bn by 2027, increasing at a compound annual growth rate of 25 percent. There are a lot of other good reasons for CX teams in APAC to add AI to their inventory. The technology presents the possibility to push effectiveness and limit costs in CX operations. AI platforms strategized for CX targets bring a range of capacities to the table, merging natural language processing (NLP), machine learning, and automation to give seamless clientele communications.
Human-centered AI Market Players:
- IBM Corporation
- Company Overview
- Business Planning
- Main Product Offerings
- Financial Execution
- Main Performance Indicators
- Risk Analysis
- Recent Development
- Regional Presence
- SWOT Analysis
- Google LLC.
- OpenAI
- Microsoft Corporation
- Apple Inc.
- Amazon Inc.
- NVIDIA Corporation
- Cognizant
- Salesforce Inc.
- Accenture
Recent Developments
February 08, 2024: IBM Corporation declared a program that offers IBM channel associates in the U.S. to resale IBM Software on the Amazon Web Services (AWS) Marketplace. They declared that they are now taking this program to opt for countries in EMEA to scale the powerful adoption they’ve noticed with their partners assisting customers enter the software they require while leveraging the buying platform they promote. IBM’s mixed and open technique expands through the buying cycle and enables clients to leverage AWS consumption obligations.
January 30, 2024: The GSMA and IBM Corporation declared a new cooperation to support the adoption and abilities of generative artificial intelligence (AI) in the telecom industry through the beginning of GSMA Advance's AI Training program and the GSMA Foundry Generative AI program.
- Report ID: 5755
- Published Date: Sep 16, 2025
- Report Format: PDF, PPT
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