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The Human-Centered AI Market Size was valued at USD 9.42 billion in 2023 and is expected to reach USD 53.47 billion by 2032 and grow at a CAGR of 21.28 % over the forecast period 2024-2032.
The Human-Centered AI market is witnessing significant expansion, driven by advancements in key technologies such as machine learning, natural language processing (NLP), computer vision, and deep learning. These innovations are enabling the creation of AI systems that are more personalized, adaptive, and intuitive, transforming industries such as healthcare, finance, and customer service. According to Stanford HAI, substantial investments in AI research are leading to breakthroughs that facilitate more effective collaboration between humans and AI. In healthcare, for example, AI-powered diagnostic tools and image analysis systems are improving patient care, reducing human errors, and streamlining workflows, thus accelerating market demand.
A growing focus on ethical AI is contributing to market growth, as businesses aim to develop AI systems that are transparent, fair, and accountable. With continued investment in human-centered AI research, particularly in creating systems that align with human values and ethical standards, the market is poised for rapid growth. In 2023, the United States took the lead in AI innovation, producing 61 notable machine learning models, outpacing the European Union (21 models) and China (15 models). Industry-academia collaborations also reached new heights in 2023, with 21 notable AI models resulting from joint efforts.
Stanford HAI has invested over USD 40 million in human-centered AI research, supporting more than 300 scholars across various disciplines. Public perception studies conducted with 25 members of the U.S. general public and 20 AI experts have highlighted the importance of humanness and ethics in AI development. These insights underscore the growing importance of ethical considerations as AI technologies become more integrated into daily life. The U.S.'s leadership in AI model production and the increasing emphasis on human-centered approaches are accelerating the adoption of AI systems globally, positioning them as key drivers of future technological progress.
Human-Centered AI Market Dynamics
Drivers
Advancements in Sound Technology Driving Growth in the Portable Speakers Market
Advancements in sound technology have become a key driver in the portable speakers market, as brands continue to innovate to enhance the listening experience. The integration of 3D audio, high-definition audio, and improved bass response are transforming the way users engage with their audio devices. 3D audio, for example, creates a more immersive experience by simulating spatial sound, giving listeners a sensation of surround sound without needing a complex speaker setup. High-definition audio ensures that music, podcasts, and other content are reproduced with clarity and precision, highlighting every nuance in the sound. Enhanced bass technology delivers deeper, more powerful low frequencies, elevating the listening experience, particularly for genres like electronic, hip hop, and rock. These technological upgrades not only improve sound quality but also encourage consumers to upgrade to the latest models, offering a clear competitive edge for brands that incorporate these advancements. As consumers increasingly prioritize premium sound quality, these innovations are essential for driving growth in the portable speaker market.
Restraints
The human-centered AI market in healthcare is facing notable challenges, primarily stemming from the lack of standardization in AI deployment.
Although AI holds immense promise for enhancing healthcare outcomes, the absence of uniform protocols for system integration leads to fragmented adoption across various healthcare settings. This inconsistency complicates the seamless implementation of AI solutions within existing frameworks like Electronic Health Records (EHRs) and diagnostic tools, with issues related to data formats, system compatibility, and regulatory standards. The lack of standardization impacts AI’s performance and reliability. Variations in data quality and integration obstacles can result in inaccurate diagnoses, potentially affecting patient care. Regulatory delays, caused by differing practices across regions, further hinder AI’s widespread adoption in healthcare. To fully unlock AI's potential, it is crucial to establish standardized frameworks that ensure smooth integration and improve both the quality of care and operational efficiency. Overcoming these standardization challenges is critical for advancing AI’s role in healthcare and achieving better patient outcomes worldwide.
Human-Centered AI Market Segment Analysis
By Function
In 2023, the Assistance and Support segment accounted for the largest share of the human-centered AI market, capturing about 43% of the revenue. This dominance reflects the growing use of AI-driven tools in enhancing customer service, healthcare, and enterprise efficiency. AI-powered virtual assistants, chatbots, and diagnostic tools automate routine tasks, improving productivity and reducing workloads. In healthcare, these tools assist in patient management, offering virtual consultations and real-time health monitoring, improving care delivery. Similarly, in customer service, AI systems streamline interactions, providing quick, scalable support. As industries increasingly seek efficient, cost-effective solutions, the demand for AI-based assistance and support continues to rise, further driving market growth.
By Application
In 2023, Chatbots and Virtual Assistants led the human-centered AI market, capturing around 34% of the revenue. This segment's dominance is driven by the rising demand for AI-powered customer service solutions across industries like healthcare, finance, and e-commerce. Virtual assistants and chatbots enhance user experience by offering real-time, personalized support, answering inquiries, and automating tasks. In healthcare, they assist with patient scheduling, medication reminders, and symptom tracking, improving care efficiency. Similarly, businesses rely on AI for customer service automation, reducing operational costs and enhancing service availability. The increasing adoption of AI for these applications underscores the growing need for efficient, scalable, and cost-effective solutions, further fueling market growth.
North America holds the largest share of 39% in the human-centered AI market as of 2023, driven by the region’s advanced technology infrastructure and widespread adoption of AI in healthcare, finance, and customer service. The United States, in particular, leads in AI research and development, backed by key players such as Google, IBM, and Microsoft, contributing to a highly innovative environment. This dominance is also supported by substantial investments in AI technologies, both from private companies and government initiatives. Healthcare applications, including AI-driven diagnostic tools, virtual assistants, and telemedicine platforms, are rapidly expanding, improving patient outcomes and operational efficiency. Regulatory frameworks in North America encourage AI integration by setting clear guidelines for ethical and secure deployment, further bolstering market growth.
Asia-Pacific is the fastest-growing region in the human-centered AI market, fueled by rapid advancements in technology and widespread adoption in healthcare, finance, and manufacturing. Countries such as China, Japan, and India lead the charge in AI development, supported by government initiatives like China's plan to become a global AI leader by 2030. AI tools are revolutionizing healthcare by improving diagnostics, patient care, and efficiency while reducing costs. Additionally, the increasing use of AI-driven solutions such as chatbots and virtual assistants is expanding across industries. The region's vast population provides valuable data for AI development, while tech infrastructure investments and a skilled workforce ensure continued growth in the market.
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Some of the major companies in the Human-Centered AI market, along with their products:
IBM (Watson Assistant, Watson Health, Watson for Oncology)
Google (Alphabet Inc.) (Google Assistant, Google Health, DeepMind AI)
Microsoft (Azure AI, Cortana, Healthcare Bot)
Amazon Web Services (AWS) (Alexa, AWS AI Services, Amazon HealthLake)
Nuance Communications (Nuance AI, Dragon Medical, Nuance Virtual Assistant)
Salesforce (Salesforce Einstein, Salesforce Health Cloud)
Oracle (Oracle AI, Oracle Digital Assistant)
Apple (Siri, HealthKit, Core ML)
Baidu (DuerOS, Baidu Apollo for autonomous driving)
Cognizant (Cognizant AI, Virtual Assistant Services)
Accenture (AI for Business Transformation, myConcerto)
Siemens (MindSphere, Siemens Healthineers AI Diagnostics)
Hewlett Packard Enterprise (HPE) (HPE AI, HPE Pointnext AI Services)
Intel (Intel AI, Intel Nervana, AI-based healthcare solutions)
SAP (SAP Leonardo AI, SAP Conversational AI)
Tencent (WeChat AI, Tencent Cloud AI, AI-powered medical solutions)
Mistral AI (Mistral AI-powered tools for decision support)
UiPath (UiPath AI, RPA with AI integration for process automation)
Pega Systems (Pega AI, Pega Customer Decision Hub)
Zoho Corporation (Zia AI, Zoho SalesIQ with AI integration)
List of potential customers in the Human-Centered AI market:
Mayo Clinic
Cigna
Pfizer
General Motors
Walmart
UPS
American Express
L’Oreal
Coca-Cola
Siemens
JPMorgan Chase
T-Mobile
Accenture
H&M
Netflix
DHL
Delta Airlines
Roche
Samsung
Verizon
September 5, 2024: IBM Consulting partners with the Smarter Balanced Assessment Consortium to develop AI governance principles for education. Their collaboration focuses on enhancing fairness and personalization in assessments, guided by a multidisciplinary advisory panel to ensure responsible AI implementation in K-12 education.
October 7, 2024: AWS participated in Advertising Week and the NAB Show in New York, showcasing how its platform supports media companies in content monetization and broadcast workloads. Highlights include sessions on data-driven storytelling and human-centric AI, aimed at enhancing creativity and driving engagement across platforms.
April 18, 2024: Siemens announced the upcoming launch of Siemens Industrial Copilot on the Siemens Xcelerator Marketplace this summer. In collaboration with Schaeffler and Microsoft, the company will showcase cutting-edge technologies such as AI, digital twins, and industrial metaverse applications at Hannover Messe, aiming to drive sustainability and competitiveness across industries.
September 27, 2024: SAP released the updated AI Ethics Handbook, offering a comprehensive guide to applying their global AI ethics policy. It now includes specific principles for generative AI, helping developers create ethical AI solutions that align with SAP's commitment to responsible, reliable, and relevant AI.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 9.42 Billion |
| Market Size by 2032 | USD 53.47 Billion |
| CAGR | CAGR of 21.28% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Function (Decision-Making & Support, Workflow Automation, Safety And Security, Assistance And Support, Collaboration And Others) • By Application (Chatbots And Virtual Assistants, Medical Diagnostic, Quality Control, Personalized Learning, Fraud Detection & Risk Assessment, And Human Resources) • By End User (Retail & E-Commerce, Healthcare, Automobile, Education, Transportation & Logistics, Manufacturing) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | IBM, Google (Alphabet Inc.), Microsoft, Amazon Web Services (AWS), Nuance Communications, Salesforce, Oracle, Apple, Baidu, Cognizant, Accenture, Siemens, Hewlett Packard Enterprise (HPE), Intel, SAP, Tencent, Mistral AI, UiPath, Pega Systems, and Zoho Corporation |
| Key Drivers | • Advancements in Sound Technology Driving Growth in the Portable Speakers Market |
| Restraints | • The human-centered AI market in healthcare is facing notable challenges, primarily stemming from the lack of standardization in AI deployment. |
Ans: The Human-Centered AI market is expected to grow at a CAGR of 21.28%.
Ans: Human-Centered AI market size was USD 9.42 billion in 2023 and is expected to Reach USD 53.47 billion by 2032.
Ans: Demand for Personalized Experiences, AI Adoption in Enterprises and, Focus on Ethical AI Development
Ans: North America is dominating in Human-Centered AI market
Ans: Assistance and Support is dominating in Human-Centered AI market in 2023
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates
5.2 Investment and Funding Trends
5.3 AI Workforce and Employment Data
5.4 User Engagement and Interaction Metrics
5.5 Regulatory and Compliance Data
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Human-Centered AI Market Segmentation, by Function
7.1 Chapter Overview
7.2 Decision-Making & Support
7.2.1 Decision-Making & Support Market Trends Analysis (2020-2032)
7.2.2 Decision-Making & Support Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Workflow Automation
7.3.1 Workflow Automation Market Trends Analysis (2020-2032)
7.3.2 Workflow Automation Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Safety and Security
7.4.1 Safety and Security Market Trends Analysis (2020-2032)
7.4.2 Safety and Security Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Assistance and Support
7.5.1 Assistance and Support Market Trends Analysis (2020-2032)
7.5.2 Assistance and Support Market Size Estimates and Forecasts to 2032 (USD Billion)
7.6 Collaboration and Others
7.5.1 Collaboration and Others Market Trends Analysis (2020-2032)
7.5.2 Collaboration and Others Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Human-Centered AI Market Segmentation, by Application
8.1 Chapter Overview
8.2 Chatbots and Virtual Assistants
8.2.1 Chatbots and Virtual Assistants Market Trends Analysis (2020-2032)
8.2.2 Chatbots and Virtual Assistants Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Medical Diagnostic
8.3.1 Medical Diagnostic Market Trends Analysis (2020-2032)
8.3.2 Medical Diagnostic Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Quality Control
8.4.1 Quality Control Market Trends Analysis (2020-2032)
8.4.2 Quality Control Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Personalized Learning
8.5.1 Personalized Learning Market Trends Analysis (2020-2032)
8.5.2 Personalized Learning Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Fraud Detection & Risk Assessment
8.6.1 Fraud Detection & Risk Assessment Market Trends Analysis (2020-2032)
8.6.2 Fraud Detection & Risk Assessment Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Human Resources
8.7.1 Human Resources Market Trends Analysis (2020-2032)
8.7.2 Human Resources Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Human-Centered AI Market Segmentation, by End User
9.1 Chapter Overview
9.2 Retail & Transportation & Logistics
9.2.1 Retail & Transportation & Logistics Market Trends Analysis (2020-2032)
9.2.2 Retail & Transportation & Logistics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Healthcare
9.3.1 Healthcare Market Trends Analysis (2020-2032)
9.3.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Automobile
9.4.1 Automobile Market Trends Analysis (2020-2032)
9.4.2 Automobile Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Education
9.5.1 Education Market Trends Analysis (2020-2032)
9.5.2 Education Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Transportation & Logistics
9.6.1 Transportation & Logistics Market Trends Analysis (2020-2032)
9.6.2 Transportation & Logistics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.7 Manufacturing
9.7.1 Manufacturing Market Trends Analysis (2020-2032)
9.7.2 Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
9.8 Healthcare
9.8.1 Healthcare Market Trends Analysis (2020-2032)
9.8.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
9.9 3PL
9.9.1 3PL Market Trends Analysis (2020-2032)
9.9.2 3PL Market Size Estimates and Forecasts to 2032 (USD Billion)
9.10 Aviation
9.10.1 Aviation Market Trends Analysis (2020-2032)
9.10.2 Aviation Market Size Estimates and Forecasts to 2032 (USD Billion)
9.11 Others
9.11.1 Others Market Trends Analysis (2020-2032)
9.11.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Human-Centered AI Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.2.4 North America Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.2.5 North America Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.2.6.2 USA Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.2.6.3 USA Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.2.7.2 Canada Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.2.7.3 Canada Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.2.8.2 Mexico Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.2.8.3 Mexico Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Human-Centered AI Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.1.6.2 Poland Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.6.3 Poland Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.1.7.2 Romania Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.7.3 Romania Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Human-Centered AI Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.4 Western Europe Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.5 Western Europe Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.6.2 Germany Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.6.3 Germany Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.7.2 France Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.7.3 France Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.8.2 UK Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.8.3 UK Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.9.2 Italy Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.9.3 Italy Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.10.2 Spain Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.10.3 Spain Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.13.2 Austria Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.13.3 Austria Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4 Asia-Pacific
10.4.1 Trends Analysis
10.4.2 Asia-Pacific Human-Centered AI Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia-Pacific Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.4 Asia-Pacific Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.5 Asia-Pacific Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.6.2 China Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.6.3 China Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.7.2 India Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.7.3 India Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.8.2 Japan Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.8.3 Japan Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.9.2 South Korea Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.9.3 South Korea Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.10.2 Vietnam Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.10.3 Vietnam Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.11.2 Singapore Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.11.3 Singapore Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.12.2 Australia Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.12.3 Australia Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.4.13 Rest of Asia-Pacific
10.4.13.1 Rest of Asia-Pacific Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia-Pacific Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia-Pacific Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Human-Centered AI Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.1.4 Middle East Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.5 Middle East Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.1.6.2 UAE Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.6.3 UAE Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Human-Centered AI Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.2.4 Africa Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.2.5 Africa Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Human-Centered AI Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.6.4 Latin America Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.5 Latin America Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.6.6.2 Brazil Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.6.3 Brazil Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.6.7.2 Argentina Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.7.3 Argentina Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.6.8.2 Colombia Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.8.3 Colombia Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Human-Centered AI Market Estimates and Forecasts, by Function (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Human-Centered AI Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Human-Centered AI Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11. Company Profiles
11.1 IBM
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Google (Alphabet Inc.)
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Microsoft
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Amazon Web Services (AWS)
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Nuance Communications
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Salesforce
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Oracle
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Apple
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Baidu
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Cognizant
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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The Online Gambling & Betting Market was valued at USD 81.86 Billion in 2023 and is expected to reach USD 218.02 Billion by 2032, growing at a CAGR of 11.54% over the forecast period 2024-2032.
The Cloud Managed Services Market was valued at USD 110.67 billion in 2023 and is expected to reach USD 375.51 billion by 2032, growing at a CAGR of 14.58% from 2024-2032.
The SEO Software Market was valued at USD 67.32 billion in 2023 and is expected to reach USD 207.41 billion by 2032, growing at a CAGR of 13.37% from 2024-2032.
The Cloud Performance Management Market size was valued at USD 2.00 billion in 2023 and is expected to reach USD 8.25 billion by 2032, with a growing at a CAGR of 17.06% over the forecast period 2024-2032.
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