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    US Artificial Intelligence Education Market

    ID: MRFR/ICT/12534-HCR
    100 Pages
    Garvit Vyas
    September 2025

    US Artificial Intelligence Market Research Report: By Component Outlook (Hardware, Software, Services), By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), By Deployment Mode Outlook (On-premises, Cloud), By Organization Size Outlook (Large Enterprises, SMEs), By Business Function Outlook (Finance, Security, Human Resources, Law, Marketing And Sales, Others) and By Industry Vertical Outlook (BFSI, IT & Telecom, Healthcare, Retail, Automotive, Advertising & Media, Manufactu...

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    US Artificial Intelligence Education Market Research Report - Forecast till 2035 Infographic
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    Table of Contents

    US Artificial Intelligence Education Market Summary

    The United States Artificial Intelligence market is projected to experience substantial growth from 88.9 USD Billion in 2024 to 1949.1 USD Billion by 2035.

    Key Market Trends & Highlights

    US Artificial Intelligence Key Trends and Highlights

    • The market is expected to grow from 88.9 USD Billion in 2024 to 1949.1 USD Billion by 2035.
    • The compound annual growth rate (CAGR) for the period from 2025 to 2035 is estimated at 32.41%.
    • This rapid expansion indicates a robust demand for AI technologies across various sectors in the United States.
    • Growing adoption of artificial intelligence due to increasing automation needs is a major market driver.

    Market Size & Forecast

    2024 Market Size 88.9 (USD Billion)
    2035 Market Size 1949.1 (USD Billion)
    CAGR (2025-2035) 32.41%

    Major Players

    Adobe, Facebook, OpenAI, Microsoft, Twilio, Salesforce, Google, Amazon, IBM, Intel, Apple, Cisco, Oracle, Palantir, NVIDIA

    US Artificial Intelligence Education Market Trends

    The US Artificial Intelligence Market is currently witnessing significant trends driven primarily by rapid advancements in technology and increasing investment from both public and private sectors. The surge in demand for automation and enhanced data analysis capabilities is propelling the adoption of AI across various industries, including healthcare, finance, and automotive. Additionally, the increasing availability of cloud computing infrastructure is enabling businesses to incorporate AI more easily, thus improving operational efficiency. Key market drivers include the ongoing digitization across industries, which fuels the need for AI solutions that can analyze large sets of data swiftly and accurately.

    The emphasis on improved customer experience is pushing companies to deploy AI for personalized services and support. Moreover, government initiatives aimed at promoting AI research and development are creating a favorable environment for innovation and collaboration among businesses and academic institutions. Opportunities to be explored or captured include the enhancement of AI in healthcare, particularly in diagnostics and patient management, which can lead to better outcomes and reduced costs. Additionally, small and medium-sized enterprises are beginning to adopt AI technologies, creating further growth potential.

    Recent trends show an increasing focus on ethical AI and regulatory frameworks, as stakeholders seek to ensure that AI systems are used responsibly and transparently. As AI continues to evolve, its integration into everyday applications will likely reshape the competitive landscape in the US, making it crucial for organizations to stay ahead of these developing trends.

    US Artificial Intelligence Education Market Drivers

    Market Segment Insights

    Artificial Intelligence Market Component Outlook Insights

    The Component Outlook for the US Artificial Intelligence Market underscores the critical role that Hardware, Software, and Services play in shaping the industry's trajectory. With rapid advancements in technology, the Hardware component finds itself evolving through enhanced processing power, storage capabilities, and energy efficiency, enabling sophisticated AI applications such as machine learning, natural language processing, and robotics. Consequently, the impact of these developments is substantial, leading to more intelligent systems that can analyze vast data sets at unprecedented speeds.

    In contrast, the Software aspect of the market is dominated by innovations in algorithms and programming frameworks, which serve as the backbone for AI functionalities. This segment facilitates the development of applications that span various industries, including healthcare, finance, and transportation, ensuring that AI solutions are seamlessly integrated into existing processes. Additionally, the rise of cloud-based AI services has ensured easy access to these advanced software tools, allowing organizations of all sizes to benefit from AI without needing significant upfront investments.

    The Services component further enhances the overall ecosystem by providing essential support through consultation, integration, and maintenance, ensuring that AI implementations are both efficient and effective. Companies specializing in AI services help clients navigate the complexities of AI adoption, offering tailored solutions that are crucial for maximizing the return on investment.

    The growing emphasis on data privacy and security adds another layer of importance to this component, as businesses look to partner with service providers who can guarantee compliance with regulatory standards while leveraging AI solutions.Overall, the integration of these components forms a well-rounded ecosystem that supports market growth, allowing for scalability and adaptability to meet the evolving demands of various sectors. As AI continues to prove its worth in improving operational efficiency and decision-making, the emphasis on innovation and collaboration across these components will be vital in propelling the US Artificial Intelligence Market forward.

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Artificial Intelligence Market Technology Insights

    The Technology segment of the US Artificial Intelligence Market encompasses a variety of innovative approaches that are driving advancements across numerous industries. Machine Learning stands out as a pivotal component, enabling systems to learn from data and improve over time, thus significantly enhancing automation and decision-making processes. Natural Language Processing plays a crucial role in facilitating human-computer interaction, allowing machines to comprehend and respond to language-related tasks effectively, which is increasingly vital in applications such as virtual assistants and customer support.

    Context-Aware Computing is becoming indispensable, as it empowers devices to adapt their operations based on situational factors, paving the way for more personalized user experiences. Additionally, Computer Vision is integral to advancements in image and video analysis, enabling automated visual inspection and safety monitoring in sectors like healthcare and manufacturing.

    As technology continues to evolve, each of these areas contributes uniquely to market dynamics, reflecting the growing importance and integration of artificial intelligence within the US economy.The overall market growth is propelled by advancements in these areas, widthening the scope of AI applications across various sectors and providing transformative solutions that meet ever-changing consumer demands.

    Artificial Intelligence Market Deployment Mode Outlook Insights

    The Deployment Mode Outlook of the US Artificial Intelligence Market showcases significant growth potential as organizations increasingly adopt artificial intelligence technologies to enhance operational efficiency and decision-making processes. The market is divided into key modes: On-premises and Cloud, each catering to distinct needs of businesses. On-premises solutions offer enhanced security and control, making them appealing for enterprises handling sensitive data, particularly in sectors such as healthcare and finance.

    Meanwhile, Cloud deployments are gaining traction due to their scalability, cost-effectiveness, and ease of integration, which enable companies to quickly implement AI solutions without heavy initial investments in infrastructure.US companies are recognizing the flexibility Cloud-based AI provides as they adapt to rapidly changing market demands. Overall, the Deployment Mode Outlook reflects the dynamic nature of the US Artificial Intelligence Market, with organizations keen on leveraging varying deployment models to drive innovation and maintain competitive advantage amidst evolving challenges and opportunities.

    Artificial Intelligence Market Organization Size Outlook Insights

    The Organization Size Outlook segment within the US Artificial Intelligence Market plays a crucial role in determining how technology adoption varies between different types of businesses. Large Enterprises constitute a significant portion of AI investments, leveraging advanced technologies for enhanced operations, market analysis, and customer engagement. These organizations often possess the resources necessary to integrate comprehensive artificial intelligence solutions, thereby driving innovation and improving efficiency across various departments. On the other hand, Small and Medium Enterprises (SMEs) are increasingly recognizing the importance of artificial intelligence in leveling the playing field.

    While historically constrained by limited budgets, SMEs are now seizing opportunities to adopt AI tools that are becoming more accessible and cost-effective. This dual focus on both large companies and SMEs highlights a diverse market landscape where different business needs drive AI adoption. The increasing penetration of AI technologies across both segments reflects the growing importance of data-driven decision-making and automation in a competitive environment. Moreover, various government initiatives and funding opportunities are emerging to bolster AI capabilities among SMEs, emphasizing the trends of collaboration and technological advancement within the industry.

    The contrasting dynamics of these segments illustrate not just market growth but also the broader potential of artificial intelligence to transform the entire US economy.

    Artificial Intelligence Market Business Function Outlook Insights

    The US Artificial Intelligence Market is experiencing substantial growth driven by its diverse applications across various business functions. In 2024, the market is projected to reach significant valuation, reflecting the increasing adoption of AI technologies within Finance, Security, Human Resources, Law, Marketing, and Sales. Each of these business functions leverages AI to enhance efficiency, decision-making, and customer engagement. For instance, in Finance, AI streamlines processes like fraud detection and algorithmic trading, significantly reducing operational risks and costs.In Security, AI systems are increasingly vital for threat detection and response, giving organizations the ability to protect sensitive data.

    The Human Resources sector benefits from AI through improved recruitment processes and employee analytics, fostering a better workplace environment. Legal firms utilize AI for contract analysis, enhancing accuracy and efficiency in legal research. Moreover, the Marketing and Sales segments thrive with AI-driven insights that enable personalized marketing strategies and better customer targeting. Collectively, these functions not only dominate the market landscape but also offer transformational opportunities, pushing the US AI industry towards innovative practices and solutions.The integration of AI within these business functions presents a strategic advantage, positioning businesses to navigate a rapidly evolving technological environment effectively.

    Artificial Intelligence Market Industry Vertical Outlook Insights

    The Industry Vertical Outlook for the US Artificial Intelligence Market reveals a diverse landscape influenced by various sectors. The BFSI segment plays a crucial role as it utilizes AI for risk assessment, customer service enhancement, and fraud detection. In IT and Telecom, AI is pivotal for improving network efficiency and customer experience, driving significant advancements in these industries. Healthcare stands out with AI applications in diagnostics, treatment personalization, and operational efficiency, underscoring its importance in enhancing patient care.

    The Retail sector leverages AI for personalized marketing and inventory management, significantly altering consumer engagement strategies. In Automotive, AI drives innovations like autonomous vehicles and smart traffic management systems, emphasizing safety and efficiency. Advertising and Media utilize AI for targeted advertising and content creation, leading to more impactful consumer interactions. Meanwhile, Manufacturing is transforming through AI-driven automation and predictive maintenance, ensuring productivity improvements.

    Other sectors are also increasingly adopting AI technologies, which highlights the overarching trend of digital transformation across the US economy, driven by competitive pressures and a growing demand for efficiency.This diverse segmentation illustrates the wide-reaching implications of AI across multiple industries, contributing to overall market growth and technological advancement.

    Get more detailed insights about US Artificial Intelligence Education Market Research Report - Forecast till 2035

    Regional Insights

    Key Players and Competitive Insights

    The competitive landscape of the US Artificial Intelligence Market is both dynamic and rapidly evolving, shaped by technological advancements and increasing adoption across various sectors. This market is characterized by a high level of innovation and investment, with numerous players vying for leadership. Companies are leveraging AI capabilities to enhance their products, streamline operations, and create personalized customer experiences. As organizations harness AI for decision-making processes, automating tasks, and improving efficiency, the competition intensifies.

    The market is not just limited to technology companies but spans across diverse fields including healthcare, finance, retail, and automotive, creating a competitive environment where established players and startups alike are transforming traditional business models.

    Adobe has established a strong presence in the US Artificial Intelligence Market, focusing on enhancing its suite of creative and marketing tools through AI functionalities. The company's strengths lie in its innovative software solutions that integrate machine learning to improve user experience and workflow automation. Adobe Sensei, the AI and machine learning framework that underpins many of its products, enables users to access powerful tools for image and video editing, personalized marketing campaigns, and data analysis.

    This strategic investment in AI enhances Adobe's value proposition to businesses seeking to leverage data-driven insights and creative automation, thereby solidifying its competitive edge in the market and contributing significantly to its growth and customer loyalty.

    Facebook has also made substantial strides in the US Artificial Intelligence Market, with a focus on developing advanced AI technologies to enhance user experience and content moderation. The company's investments in deep learning and AI research have enabled the creation of key products and services such as Facebook AI Research, which prioritizes the development of innovative AI solutions. Through its algorithms and machine learning capabilities, Facebook delivers personalized content and advertisements, which are pivotal in retaining user engagement and driving revenue.

    Moreover, Facebook’s strategic acquisitions of AI startups have bolstered its capabilities and R&D efforts, further deepening its involvement in the market. By utilizing AI in areas such as image recognition and natural language processing, Facebook not only improves its platform but also sets a standard in the industry, showcasing its strength and influence within the US Artificial Intelligence landscape.

    Key Companies in the US Artificial Intelligence Education Market market include

    Industry Developments

    The US Artificial Intelligence Market has witnessed significant movements in recent months, reflecting a robust environment for technological advancement and investment. In September 2023, Microsoft unveiled new AI capabilities integrated into its Office suite, aimed at enhancing productivity tools. Additionally, OpenAI has been focusing on ethical AI development, partnering with various sectors to establish guidelines for safe usage. Merger activity also picked up with Adobe acquiring Figma in late 2022, enhancing their design software capabilities with collaborative AI tools. Moreover, the demand for AI in healthcare surged, with major players like IBM and Oracle investing heavily in AI-driven health solutions.

    Growth in market valuation has been notable, with companies such as NVIDIA experiencing a surge due to their leadership in AI hardware, impacting sectors like gaming and autonomous vehicles. Current legislative discussions in the US government regarding AI regulations are also shaping the landscape, with a focus on balancing innovation with ethical guidelines. These developments and regulatory frameworks are pivotal in shaping the future trajectory of the US Artificial Intelligence Market.

    Market Segmentation

    Artificial Intelligence Market Component Outlook Insights

    Artificial Intelligence Market Deployment Mode Outlook Insights

    Artificial Intelligence Market Business Function Outlook Insights

    Artificial Intelligence Market Industry Vertical Outlook Insights

    • Hardware
    • Software
    • Services

    Artificial Intelligence Market Organization Size Outlook Insights

    Artificial Intelligence Market By Component Outlook (USD Billion, 2019-2035)

    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision

    Artificial Intelligence Market By Deployment Mode Outlook (USD Billion, 2019-2035)

    • Large Enterprises
    • SMEs

    Artificial Intelligence Market By Business Function Outlook (USD Billion, 2019-2035)

    • BFSI
    • IT & Telecom
    • Healthcare
    • Retail
    • Automotive
    • Advertising & Media
    • Manufacturing
    • Others

    Artificial Intelligence Market By Industry Vertical Outlook (USD Billion, 2019-2035)

    • BFSI
    • IT & Telecom
    • Healthcare
    • Retail
    • Automotive
    • Advertising & Media
    • Manufacturing
    • Others

    Artificial Intelligence Market By Organization Size Outlook (USD Billion, 2019-2035)

    • Finance
    • Security
    • Human Resources
    • Law
    • Marketing And Sales
    • Others

    Report Scope

    Report Scope:
    Report Attribute/Metric Source: Details
    MARKET SIZE 2018 69.27(USD Billion)
    MARKET SIZE 2024 88.87(USD Billion)
    MARKET SIZE 2035 1949.12(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 32.409% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Billion
    KEY COMPANIES PROFILED Adobe, Facebook, OpenAI, Microsoft, Twilio, Salesforce, Google, Amazon, IBM, Intel, Apple, Cisco, Oracle, Palantir, NVIDIA
    SEGMENTS COVERED Component Outlook, Technology, Deployment Mode Outlook, Organization Size Outlook, Business Function Outlook, Industry Vertical Outlook
    KEY MARKET OPPORTUNITIES Healthcare AI solutions, Autonomous vehicles development, AI in cybersecurity, Natural language processing tools, AI-driven business analytics
    KEY MARKET DYNAMICS technological advancements, increasing data availability, rising automation demand, growing investment in AI, regulatory challenges and compliance
    COUNTRIES COVERED US

    Market Highlights

    Author
    Garvit Vyas
    Analyst

    Explore the profile of Garvit Vyas, one of our esteemed authors at Market Research Future, and access their expert research contributions in the field of market research and industry analysis

    Leave a Comment

    FAQs

    1. EXECUTIVE SUMMARY
    2. Market Overview
    3. Key Findings
    4. Market Segmentation
    5. Competitive Landscape
    6. Challenges and Opportunities
    7. Future Outlook
    8. MARKET INTRODUCTION
    9. Definition
    10. Scope of the study
    11. Research Objective
    12. Assumption
    13. Limitations
    14. RESEARCH METHODOLOGY
    15. Overview
    16. Data Mining
    17. Secondary Research
    18. Primary Research
    19. Primary Interviews and Information Gathering Process
    20. Breakdown of Primary Respondents
    21. Forecasting Model
    22. Market Size Estimation
    23. Bottom-Up Approach
    24. Top-Down Approach
    25. Data Triangulation
    26. Validation
    27. MARKET DYNAMICS
    28. Overview
    29. Drivers
    30. Restraints
    31. Opportunities
    32. MARKET FACTOR ANALYSIS
    33. Value chain Analysis
    34. Porter's Five Forces Analysis
    35. Bargaining Power of Suppliers
    36. Bargaining Power of Buyers
    37. Threat of New Entrants
    38. Threat of Substitutes
    39. Intensity of Rivalry
    40. COVID-19 Impact Analysis
    41. Market Impact Analysis
    42. Regional Impact
    43. Opportunity and Threat Analysis
    44. US Artificial Intelligence Market, BY Component Outlook (USD Billion)
    45. Hardware
    46. Software
    47. Services
    48. US Artificial Intelligence Market, BY Technology (USD Billion)
    49. Machine Learning
    50. Natural Language Processing
    51. Context-Aware Computing
    52. Computer Vision
    53. US Artificial Intelligence Market, BY Deployment Mode Outlook (USD Billion)
    54. On-premises
    55. Cloud
    56. US Artificial Intelligence Market, BY Organization Size Outlook (USD Billion)
    57. Large Enterprises
    58. SMEs
    59. US Artificial Intelligence Market, BY Business Function Outlook (USD Billion)
    60. Finance
    61. Security
    62. Human Resources
    63. Law
    64. Marketing And Sales
    65. Others
    66. US Artificial Intelligence Market, BY Industry Vertical Outlook (USD Billion)
    67. BFSI
    68. IT & Telecom
    69. Healthcare
    70. Retail
    71. Automotive
    72. Advertising & Media
    73. Manufacturing
    74. Others
    75. Competitive Landscape
    76. Overview
    77. Competitive Analysis
    78. Market share Analysis
    79. Major Growth Strategy in the Artificial Intelligence Market
    80. Competitive Benchmarking
    81. Leading Players in Terms of Number of Developments in the Artificial Intelligence Market
    82. Key developments and growth strategies
    83. New Product Launch/Service Deployment
    84. Merger & Acquisitions
    85. Joint Ventures
    86. Major Players Financial Matrix
    87. Sales and Operating Income
    88. Major Players R&D Expenditure. 2023
    89. Company Profiles
    90. Adobe
    91. Financial Overview
    92. Products Offered
    93. Key Developments
    94. SWOT Analysis
    95. Key Strategies
    96. Facebook
    97. Financial Overview
    98. Products Offered
    99. Key Developments
    100. SWOT Analysis
    101. Key Strategies
    102. OpenAI
    103. Financial Overview
    104. Products Offered
    105. Key Developments
    106. SWOT Analysis
    107. Key Strategies
    108. Microsoft
    109. Financial Overview
    110. Products Offered
    111. Key Developments
    112. SWOT Analysis
    113. Key Strategies
    114. Twilio
    115. Financial Overview
    116. Products Offered
    117. Key Developments
    118. SWOT Analysis
    119. Key Strategies
    120. Salesforce
    121. Financial Overview
    122. Products Offered
    123. Key Developments
    124. SWOT Analysis
    125. Key Strategies
    126. Google
    127. Financial Overview
    128. Products Offered
    129. Key Developments
    130. SWOT Analysis
    131. Key Strategies
    132. Amazon
    133. Financial Overview
    134. Products Offered
    135. Key Developments
    136. SWOT Analysis
    137. Key Strategies
    138. IBM
    139. Financial Overview
    140. Products Offered
    141. Key Developments
    142. SWOT Analysis
    143. Key Strategies
    144. Intel
    145. Financial Overview
    146. Products Offered
    147. Key Developments
    148. SWOT Analysis
    149. Key Strategies
    150. Apple
    151. Financial Overview
    152. Products Offered
    153. Key Developments
    154. SWOT Analysis
    155. Key Strategies
    156. Cisco
    157. Financial Overview
    158. Products Offered
    159. Key Developments
    160. SWOT Analysis
    161. Key Strategies
    162. Oracle
    163. Financial Overview
    164. Products Offered
    165. Key Developments
    166. SWOT Analysis
    167. Key Strategies
    168. Palantir
    169. Financial Overview
    170. Products Offered
    171. Key Developments
    172. SWOT Analysis
    173. Key Strategies
    174. NVIDIA
    175. Financial Overview
    176. Products Offered
    177. Key Developments
    178. SWOT Analysis
    179. Key Strategies
    180. References
    181. Related Reports
    182. US Artificial Intelligence Market SIZE ESTIMATES & FORECAST, BY COMPONENT OUTLOOK, 2019-2035 (USD Billions)
    183. US Artificial Intelligence Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035 (USD Billions)
    184. US Artificial Intelligence Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT MODE OUTLOOK, 2019-2035 (USD Billions)
    185. US Artificial Intelligence Market SIZE ESTIMATES & FORECAST, BY ORGANIZATION SIZE OUTLOOK, 2019-2035 (USD Billions)
    186. US Artificial Intelligence Market SIZE ESTIMATES & FORECAST, BY BUSINESS FUNCTION OUTLOOK, 2019-2035 (USD Billions)
    187. US Artificial Intelligence Market SIZE ESTIMATES & FORECAST, BY INDUSTRY VERTICAL OUTLOOK, 2019-2035 (USD Billions)
    188. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    189. ACQUISITION/PARTNERSHIP
    190. MARKET SYNOPSIS
    191. US ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY COMPONENT OUTLOOK
    192. US ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY TECHNOLOGY
    193. US ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY DEPLOYMENT MODE OUTLOOK
    194. US ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY ORGANIZATION SIZE OUTLOOK
    195. US ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY BUSINESS FUNCTION OUTLOOK
    196. US ARTIFICIAL INTELLIGENCE MARKET ANALYSIS BY INDUSTRY VERTICAL OUTLOOK
    197. KEY BUYING CRITERIA OF ARTIFICIAL INTELLIGENCE MARKET
    198. RESEARCH PROCESS OF MRFR
    199. DRO ANALYSIS OF ARTIFICIAL INTELLIGENCE MARKET
    200. DRIVERS IMPACT ANALYSIS: ARTIFICIAL INTELLIGENCE MARKET
    201. RESTRAINTS IMPACT ANALYSIS: ARTIFICIAL INTELLIGENCE MARKET
    202. SUPPLY / VALUE CHAIN: ARTIFICIAL INTELLIGENCE MARKET
    203. ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT OUTLOOK, 2025 (% SHARE)
    204. ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT OUTLOOK, 2019 TO 2035 (USD Billions)
    205. ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    206. ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    207. ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE OUTLOOK, 2025 (% SHARE)
    208. ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE OUTLOOK, 2019 TO 2035 (USD Billions)
    209. ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE OUTLOOK, 2025 (% SHARE)
    210. ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE OUTLOOK, 2019 TO 2035 (USD Billions)
    211. ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION OUTLOOK, 2025 (% SHARE)
    212. ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION OUTLOOK, 2019 TO 2035 (USD Billions)
    213. ARTIFICIAL INTELLIGENCE MARKET, BY INDUSTRY VERTICAL OUTLOOK, 2025 (% SHARE)
    214. ARTIFICIAL INTELLIGENCE MARKET, BY INDUSTRY VERTICAL OUTLOOK, 2019 TO 2035 (USD Billions)
    215. BENCHMARKING OF MAJOR COMPETITORS

    US Artificial Intelligence Market Segmentation

    • Artificial Intelligence Market By Component Outlook (USD Billion, 2019-2035)

      • Hardware
      • Software
      • Services
    • Artificial Intelligence Market By Technology (USD Billion, 2019-2035)

      • Machine Learning
      • Natural Language Processing
      • Context-Aware Computing
      • Computer Vision
    • Artificial Intelligence Market By Deployment Mode Outlook (USD Billion, 2019-2035)

      • On-premises
      • Cloud
    • Artificial Intelligence Market By Organization Size Outlook (USD Billion, 2019-2035)

      • Large Enterprises
      • SMEs
    • Artificial Intelligence Market By Business Function Outlook (USD Billion, 2019-2035)

      • Finance
      • Security
      • Human Resources
      • Law
      • Marketing And Sales
      • Others
    • Artificial Intelligence Market By Industry Vertical Outlook (USD Billion, 2019-2035)

      • BFSI
      • IT & Telecom
      • Healthcare
      • Retail
      • Automotive
      • Advertising & Media
      • Manufacturing
      • Others
    Report Infographic
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