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    US Cognitive Computing Technology Market

    ID: MRFR/ICT/13879-HCR
    100 Pages
    Garvit Vyas
    September 2025

    US Cognitive Computing Technology Market Research Report: By Application (Natural Language Processing, Image and Video Analysis, Speech Recognition, Data Mining), By Deployment Type (Cloud-Based, On-Premises, Hybrid), By Component (Hardware, Software, Services) and By End User (Healthcare, Retail, Banking and Finance, Telecommunications, Manufacturing) - Forecast to 2035

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    US Cognitive Computing Technology Market Research Report - Forecast till 2035 Infographic
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    Table of Contents

    US Cognitive Computing Technology Market Summary

    The US Cognitive Computing Technology market is projected to grow from 18.9 USD Billion in 2024 to 57.0 USD Billion by 2035.

    Key Market Trends & Highlights

    US Cognitive Computing Technology Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 10.55 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 57.0 USD Billion, indicating robust growth potential.
    • In 2024, the market is valued at 18.9 USD Billion, reflecting a strong foundation for future expansion.
    • Growing adoption of cognitive computing technology due to increasing demand for automation is a major market driver.

    Market Size & Forecast

    2024 Market Size 18.9 (USD Billion)
    2035 Market Size 57.0 (USD Billion)
    CAGR (2025-2035) 10.55%

    Major Players

    SAP, Apple, Oracle, Facebook, Cisco, IBM, Microsoft, C3.ai, Intel, Google, Salesforce, NVIDIA, Accenture, Amazon, Hewlett Packard Enterprise

    US Cognitive Computing Technology Market Trends

    The US Cognitive Computing Technology Market is experiencing significant momentum driven by advancements in artificial intelligence and machine learning. Key market drivers include the growing demand for data analytics across various sectors such as healthcare, finance, and retail. Companies are increasingly relying on cognitive computing to enhance decision-making processes, improve customer experiences, and streamline operations. The rising awareness of benefits like predictive analytics and automation is leading organizations to invest in these technologies. In recent times, organizations are looking to explore opportunities in natural language processing and image recognition, which are essential components of cognitive computing.

    Additionally, government initiatives to support technological innovation further promote the adoption of cognitive computing solutions in the US. There is an increasing focus on developing ethical frameworks and regulatory guidelines to address privacy and security concerns associated with AI technologies. As businesses in the US leverage cognitive computing to gain competitive advantages, significant interest is seen in sectors such as autonomous vehicles, smart cities, and personalized medicine. As the demand for improved operational efficiency and enhanced user experiences continues to rise, the cognitive computing market in the US is set to evolve rapidly.

    Organizations are likely to capture opportunities for collaboration with startups and technology firms, which could provide extensive advancements in cognitive solutions tailored to meet specific industry needs. This growth reflects the broader trend of digital transformation in the US economy, emphasizing the pivotal role of cognitive computing technologies in shaping the future.

    US Cognitive Computing Technology Market Drivers

    Market Segment Insights

    Get more detailed insights about US Cognitive Computing Technology Market Research Report - Forecast till 2035

    Regional Insights

    Key Players and Competitive Insights

    The US Cognitive Computing Technology Market is experiencing significant transformation driven by advancements in artificial intelligence, natural language processing, and machine learning. Competitive insights reveal that organizations within this market are continuously innovating to harness cognitive technologies, which enables them to enhance decision-making processes, create personalized customer experiences, and streamline operations. The market dynamics are characterized by a blend of established companies and innovative startups, all vying for market share through the development of cutting-edge solutions that leverage cognitive computing capabilities.

    The competitive landscape is marked by strategic partnerships, collaborations, and the development of proprietary technologies that aim to deliver superior cognitive solutions to various industry sectors.SAP has established a robust presence in the US Cognitive Computing Technology Market, primarily by integrating its business applications with cognitive capabilities.

    The company’s strengths lie in its extensive portfolio of enterprise solutions that incorporate machine learning and analytics, providing organizations with tools to enhance productivity and gain actionable insights from data. SAP's commitment to improving user experience through innovative customer engagement platforms has positioned them favorably in the marketplace. Additionally, their initiatives surrounding intelligent enterprise applications demonstrate their effectiveness in leveraging cognitive technologies, allowing users to automate processes and make informed decisions with real-time data. These strengths enhance SAP's competitive edge in the cognitive computing field, catering to the demands of diverse industries throughout the United States.

    Apple’s strategic approach to the US Cognitive Computing Technology Market focuses on delivering personalized experiences through its ecosystem of products and services. The company is renowned for integrating cognitive capabilities across its devices, such as the iPhone, iPad, and Mac, encapsulating technologies like Siri and advanced machine learning frameworks. Apple’s substantial market presence and its user base contribute to their strength, as they continually gather data that fuels the iterative improvement of their cognitive services. In recent years, significant investments in research and development have positioned Apple to expand its cognitive computing solutions further.

    Mergers and acquisitions, particularly in AI-driven startups, have bolstered their capabilities and product offerings, enabling Apple to maintain a competitive advantage in creating a seamless and intelligent user experience in the US market. Through a focus on user privacy and enhanced integrations, Apple's approach distinguishes them in the cognitive computing landscape.

    Key Companies in the US Cognitive Computing Technology Market market include

    Industry Developments

    The US Cognitive Computing Technology Market has seen significant developments recently, characterized by the aggressive expansion and innovation strategies of key players such as IBM, Microsoft, and Google. In September 2023, IBM announced an upgrade to its Watson AI platform, enhancing its cognitive capabilities for enterprises. Microsoft introduced new features in Azure that optimize machine learning and cognitive services, further solidifying its position in the industry. Meanwhile, Google is focusing on integrating artificial intelligence into its cloud computing services, making strides to attract more business clients.

    Conversely, in terms of mergers and acquisitions, September 2023 marked Oracle's successful acquisition of a leading data analytics startup, enhancing its cognitive computing offerings. The market is currently valued at approximately $39 billion, with growth projections indicating a compound annual growth rate of around 30 percent over the next five years, driven by increasing adoption across various sectors, including healthcare, finance, and retail. The rapid technological advancements and strategic partnerships are expected to fuel innovation, making the US a formidable leader in cognitive computing technology.

    Over the past few years, the proliferation of AI-driven solutions has transformed industries, marking 2021 as a critical year for the rise of cognitive technologies in the region.

    Market Segmentation

    Outlook

    • Natural Language Processing
    • Image and Video Analysis
    • Speech Recognition
    • Data Mining

    Cognitive Computing Technology Market End User Outlook

    • Healthcare
    • Retail
    • Banking and Finance
    • Telecommunications
    • Manufacturing

    Cognitive Computing Technology Market Component Outlook

    • Hardware
    • Software
    • Services

    Cognitive Computing Technology Market Application Outlook

    • Natural Language Processing
    • Image and Video Analysis
    • Speech Recognition
    • Data Mining

    Cognitive Computing Technology Market Deployment Type Outlook

    • Cloud-Based
    • On-Premises
    • Hybrid

    Report Scope

    Report Attribute/Metric Source: Details
    MARKET SIZE 2018 16.3(USD Billion)
    MARKET SIZE 2024 18.91(USD Billion)
    MARKET SIZE 2035 57.01(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.554% (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 SAP, Apple, Oracle, Facebook, Cisco, IBM, Microsoft, C3.ai, Intel, Google, Salesforce, NVIDIA, Accenture, Amazon, Hewlett Packard Enterprise
    SEGMENTS COVERED Application, Deployment Type, Component, End User
    KEY MARKET OPPORTUNITIES Natural language processing advancements, Increased demand for personalized experiences, AI-driven automation solutions, Enhanced data analytics capabilities, Growth in healthcare applications
    KEY MARKET DYNAMICS Growing AI adoption, Increasing data volume, Demand for automation, Enhanced decision-making capabilities, Competitive market landscape
    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

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    FAQs

    What is the projected market size of the US Cognitive Computing Technology Market in 2024?

    The US Cognitive Computing Technology Market is expected to be valued at 18.91 billion USD in 2024.

    What is the expected market size of the US Cognitive Computing Technology Market by 2035?

    By 2035, the market is projected to reach 57.01 billion USD.

    What is the expected compound annual growth rate (CAGR) for the US Cognitive Computing Technology Market from 2025 to 2035?

    The expected CAGR is 10.554 percent for the period from 2025 to 2035.

    What are the primary applications within the US Cognitive Computing Technology Market?

    Major applications include Natural Language Processing, Image and Video Analysis, Speech Recognition, and Data Mining.

    What is the market value for Natural Language Processing in 2024?

    The market for Natural Language Processing is anticipated to be valued at 6.5 billion USD in 2024.

    What market value is projected for Image and Video Analysis by 2035?

    The market value for Image and Video Analysis is expected to reach 12.0 billion USD by 2035.

    Who are the key players in the US Cognitive Computing Technology Market?

    Major players include SAP, Apple, Oracle, Facebook, Cisco, IBM, Microsoft, and Amazon among others.

    What is the expected value of the Speech Recognition application in 2024?

    The Speech Recognition application is projected to be valued at 3.0 billion USD in 2024.

    How much is the Data Mining application expected to grow by 2035?

    The Data Mining application is expected to reach a value of 16.51 billion USD by 2035.

    What opportunities and challenges exist in the US Cognitive Computing Technology Market?

    There are significant opportunities in emerging technologies, while challenges may include data privacy and competition from established tech firms.

    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 Cognitive Computing Technology Market, BY Application (USD Billion)
    45. Natural Language Processing
    46. Image and Video Analysis
    47. Speech Recognition
    48. Data Mining
    49. US Cognitive Computing Technology Market, BY Deployment Type (USD Billion)
    50. Cloud-Based
    51. On-Premises
    52. Hybrid
    53. US Cognitive Computing Technology Market, BY Component (USD Billion)
    54. Hardware
    55. Software
    56. Services
    57. US Cognitive Computing Technology Market, BY End User (USD Billion)
    58. Healthcare
    59. Retail
    60. Banking and Finance
    61. Telecommunications
    62. Manufacturing
    63. Competitive Landscape
    64. Overview
    65. Competitive Analysis
    66. Market share Analysis
    67. Major Growth Strategy in the Cognitive Computing Technology Market
    68. Competitive Benchmarking
    69. Leading Players in Terms of Number of Developments in the Cognitive Computing Technology Market
    70. Key developments and growth strategies
    71. New Product Launch/Service Deployment
    72. Merger & Acquisitions
    73. Joint Ventures
    74. Major Players Financial Matrix
    75. Sales and Operating Income
    76. Major Players R&D Expenditure. 2023
    77. Company Profiles
    78. SAP
    79. Financial Overview
    80. Products Offered
    81. Key Developments
    82. SWOT Analysis
    83. Key Strategies
    84. Apple
    85. Financial Overview
    86. Products Offered
    87. Key Developments
    88. SWOT Analysis
    89. Key Strategies
    90. Oracle
    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. Cisco
    103. Financial Overview
    104. Products Offered
    105. Key Developments
    106. SWOT Analysis
    107. Key Strategies
    108. IBM
    109. Financial Overview
    110. Products Offered
    111. Key Developments
    112. SWOT Analysis
    113. Key Strategies
    114. Microsoft
    115. Financial Overview
    116. Products Offered
    117. Key Developments
    118. SWOT Analysis
    119. Key Strategies
    120. C3.ai
    121. Financial Overview
    122. Products Offered
    123. Key Developments
    124. SWOT Analysis
    125. Key Strategies
    126. Intel
    127. Financial Overview
    128. Products Offered
    129. Key Developments
    130. SWOT Analysis
    131. Key Strategies
    132. Google
    133. Financial Overview
    134. Products Offered
    135. Key Developments
    136. SWOT Analysis
    137. Key Strategies
    138. Salesforce
    139. Financial Overview
    140. Products Offered
    141. Key Developments
    142. SWOT Analysis
    143. Key Strategies
    144. NVIDIA
    145. Financial Overview
    146. Products Offered
    147. Key Developments
    148. SWOT Analysis
    149. Key Strategies
    150. Accenture
    151. Financial Overview
    152. Products Offered
    153. Key Developments
    154. SWOT Analysis
    155. Key Strategies
    156. Amazon
    157. Financial Overview
    158. Products Offered
    159. Key Developments
    160. SWOT Analysis
    161. Key Strategies
    162. Hewlett Packard Enterprise
    163. Financial Overview
    164. Products Offered
    165. Key Developments
    166. SWOT Analysis
    167. Key Strategies
    168. References
    169. Related Reports
    170. US Cognitive Computing Technology Market SIZE ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    171. US Cognitive Computing Technology Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT TYPE, 2019-2035 (USD Billions)
    172. US Cognitive Computing Technology Market SIZE ESTIMATES & FORECAST, BY COMPONENT, 2019-2035 (USD Billions)
    173. US Cognitive Computing Technology Market SIZE ESTIMATES & FORECAST, BY END USER, 2019-2035 (USD Billions)
    174. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    175. ACQUISITION/PARTNERSHIP
    176. MARKET SYNOPSIS
    177. US COGNITIVE COMPUTING TECHNOLOGY MARKET ANALYSIS BY APPLICATION
    178. US COGNITIVE COMPUTING TECHNOLOGY MARKET ANALYSIS BY DEPLOYMENT TYPE
    179. US COGNITIVE COMPUTING TECHNOLOGY MARKET ANALYSIS BY COMPONENT
    180. US COGNITIVE COMPUTING TECHNOLOGY MARKET ANALYSIS BY END USER
    181. KEY BUYING CRITERIA OF COGNITIVE COMPUTING TECHNOLOGY MARKET
    182. RESEARCH PROCESS OF MRFR
    183. DRO ANALYSIS OF COGNITIVE COMPUTING TECHNOLOGY MARKET
    184. DRIVERS IMPACT ANALYSIS: COGNITIVE COMPUTING TECHNOLOGY MARKET
    185. RESTRAINTS IMPACT ANALYSIS: COGNITIVE COMPUTING TECHNOLOGY MARKET
    186. SUPPLY / VALUE CHAIN: COGNITIVE COMPUTING TECHNOLOGY MARKET
    187. COGNITIVE COMPUTING TECHNOLOGY MARKET, BY APPLICATION, 2025 (% SHARE)
    188. COGNITIVE COMPUTING TECHNOLOGY MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    189. COGNITIVE COMPUTING TECHNOLOGY MARKET, BY DEPLOYMENT TYPE, 2025 (% SHARE)
    190. COGNITIVE COMPUTING TECHNOLOGY MARKET, BY DEPLOYMENT TYPE, 2019 TO 2035 (USD Billions)
    191. COGNITIVE COMPUTING TECHNOLOGY MARKET, BY COMPONENT, 2025 (% SHARE)
    192. COGNITIVE COMPUTING TECHNOLOGY MARKET, BY COMPONENT, 2019 TO 2035 (USD Billions)
    193. COGNITIVE COMPUTING TECHNOLOGY MARKET, BY END USER, 2025 (% SHARE)
    194. COGNITIVE COMPUTING TECHNOLOGY MARKET, BY END USER, 2019 TO 2035 (USD Billions)
    195. BENCHMARKING OF MAJOR COMPETITORS

    US Cognitive Computing Technology Market Segmentation

     

     

     

    • Cognitive Computing Technology Market By Application (USD Billion, 2019-2035)

      • Natural Language Processing
      • Image and Video Analysis
      • Speech Recognition
      • Data Mining

     

    • Cognitive Computing Technology Market By Deployment Type (USD Billion, 2019-2035)

      • Cloud-Based
      • On-Premises
      • Hybrid

     

    • Cognitive Computing Technology Market By Component (USD Billion, 2019-2035)

      • Hardware
      • Software
      • Services

     

    • Cognitive Computing Technology Market By End User (USD Billion, 2019-2035)

      • Healthcare
      • Retail
      • Banking and Finance
      • Telecommunications
      • Manufacturing

     

     

     

     

     

     

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