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    US Artificial Intelligence Software Platform Market

    ID: MRFR/ICT/12865-HCR
    100 Pages
    Garvit Vyas
    September 2025

    US Artificial Intelligence Software Platform Market Research Report: By Deployment Model (On-Premises, Cloud), By Enterprise Size (Large Enterprises, Small & Medium Enterprises), By Technology (Computer Vision, Data Analytics, Machine Learning, Natural Language Processing, Others), By Application (Automation, Remote Sensing, Medical Diagnosis, Speech Recognition, Text Recognition) and By End Users (BFSI, Manufacturing, Healthcare, Transportation, Retail) - Forecast to 2035

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    Table of Contents

    US Artificial Intelligence Software Platform Market Summary

    The US Artificial Intelligence Software Platform market is projected to experience substantial growth from 11.2 USD Billion in 2024 to 280 USD Billion by 2035.

    Key Market Trends & Highlights

    US Artificial Intelligence Software Platform Key Trends and Highlights

    • The market is expected to grow at a compound annual growth rate (CAGR) of 33.94% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 280 USD Billion, indicating a robust expansion trajectory.
    • In 2024, the market is valued at 11.2 USD Billion, showcasing a strong foundation for future growth.
    • Growing adoption of artificial intelligence technologies due to increased demand for automation is a major market driver.

    Market Size & Forecast

    2024 Market Size 11.2 (USD Billion)
    2035 Market Size 280 (USD Billion)
    CAGR (2025-2035) 33.94%

    Major Players

    SAP, Palantir Technologies, OpenAI, Oracle, DataRobot, IBM, Adobe, Microsoft, C3.ai, Zebra Medical Vision, Google, Salesforce, NVIDIA, Amazon, Siemens

    US Artificial Intelligence Software Platform Market Trends

    The US Artificial Intelligence Software Platform Market is experiencing a variety of significant trends that are shaping its landscape. One of the key market drivers is the increasing demand for automation across multiple sectors, including healthcare, finance, and manufacturing. Organizations in these industries are leveraging AI to enhance operational efficiency, reduce costs, and improve customer experiences. This trend is fueled by the growing availability of vast datasets and advancements in machine learning, allowing for more sophisticated decision-making processes. Opportunities in the market are expanding as businesses seek to integrate AI capabilities into their existing infrastructure.

    US Artificial Intelligence Software Platform Market Drivers

    Market Segment Insights

    Artificial Intelligence Software Platform Market Deployment Model Insights

    The Deployment Model segment within the US Artificial Intelligence Software Platform Market showcases a robust landscape shaped by distinct preferences for on-premises and cloud-based solutions. This segment plays a pivotal role in the adoption and utilization of artificial intelligence technologies across various industries. The on-premises model, wherein software and infrastructure are managed within an organization’s own facilities, continues to be favored by enterprises that prioritize stringent data security and compliance regulations. Such organizations often operate in highly regulated sectors like finance and healthcare, where sensitive information must be managed with utmost caution.

    This preference is driven by the desire to exert complete control over data and systems, aligning with established internal protocols and governance standards. Contrarily, the cloud deployment model is gaining traction as businesses increasingly seek scalability and cost-effectiveness. This approach allows companies to access artificial intelligence capabilities without the heavy burden of maintaining physical infrastructure. Cloud solutions facilitate rapid deployment and real-time collaboration, which are essential in today’s fast-paced business environment. The growth in available cloud services is backed by advancements in internet connectivity and storage technologies, allowing for the seamless integration of artificial intelligence tools into everyday operations. 

    Furthermore, cloud deployments support AI applications that require vast processing power and data analytics capabilities, making them attractive to businesses aiming to leverage AI for innovation and competitive advantage.The ongoing transition to remote work has further accelerated the shift towards cloud-based AI solutions, as organizations look to support distributed teams with flexible and accessible technology. The US is witnessing significant investments in cloud infrastructure, with government initiatives promoting digital transformation across industries.

    These trends are expected to contribute to the further segmentation of the US Artificial Intelligence Software Platform Market, as businesses assess the cost-benefit balance between on-premises and cloud models.

    As both deployment models evolve, they present unique opportunities and challenges. For instance, while on-premises deployments ensure high levels of control, they often require greater upfront investment and ongoing maintenance commitments. In contrast, cloud solutions typically operate on a pay-as-you-go basis, but may introduce concerns around data sovereignty and compliance for certain industries. This dynamic landscape requires organizations to carefully evaluate their specific needs, driving a more nuanced approach to adopting AI technologies.

    Artificial Intelligence Software Platform Market Enterprise Size Insights

    The US Artificial Intelligence Software Platform Market is increasingly shaped by the dynamics of Enterprise Size, which includes both Large Enterprises and Small and Medium Enterprises. Large Enterprises typically drive innovation and investment in artificial intelligence technologies, leveraging substantial resources for advanced implementations. These organizations often invest heavily in Research and Development to stay at the forefront of technological advancements, thus obtaining a competitive edge. In contrast, Small and Medium Enterprises represent a significant portion of the market, as they increasingly adopt AI solutions to optimize operations, enhance customer experiences, and drive efficiency.

    The growing accessibility of AI platforms has led to a democratization of technology, enabling these businesses to compete with larger players. This expansion is backed by government initiatives aimed at fostering technological advancement and digital transformation within small businesses. Overall, the segmentation by Enterprise Size is crucial, reflecting diverse needs and opportunities that drive the overall growth and advancement of the US Artificial Intelligence Software Platform Market.

    Artificial Intelligence Software Platform Market Technology Insights

    The US Artificial Intelligence Software Platform Market, particularly in the Technology segment, is experiencing substantial growth driven by advancements in various key areas such as Computer Vision, Data Analytics, Machine Learning, and Natural Language Processing. These technologies are becoming integral as industries prioritize automation and data-driven decision-making. Computer Vision’s ability to interpret visual data is revolutionizing sectors like healthcare and retail, facilitating improved diagnostics and customer experiences. Meanwhile, Data Analytics enables organizations to extract valuable insights from vast amounts of data, thus enhancing operational efficiency and strategic planning.

    Machine Learning stands out for its capability to develop predictive models, allowing businesses to adapt swiftly to market changes. Natural Language Processing is increasingly vital for improving human-computer interaction, making virtual assistants and chatbots more intuitive and effective. Collectively, these segments are reshaping the landscape of the US Artificial Intelligence Software Platform Market, reflecting the growing need for sophisticated technology solutions in a data-centric world. The US government and various industry initiatives emphasize the importance of these technologies, promoting investments and fostering innovation, which further underlines their significance in both current applications and future developments.

    Artificial Intelligence Software Platform Market Application Insights

    The Application segment of the US Artificial Intelligence Software Platform Market is experiencing notable expansion, driven by advancements in technology and increased adoption across industries. Automation is a critical component, enhancing operational efficiencies and reducing costs for businesses. In the field of Remote Sensing, AI applications play a vital role in environmental monitoring and resource management, significantly impacting industries like agriculture and urban planning. Medical Diagnosis is another significant area, with AI aiding in more accurate and faster diagnoses, ultimately leading to improved patient outcomes.

    Speech Recognition technology allows for enhanced human-computer interactions, facilitating efficient communication in sectors like customer service and healthcare. Text Recognition enhances data processing capabilities, enabling businesses to digitize and analyze large volumes of information effectively. Overall, the diversity and applicability of these domains within the US Artificial Intelligence Software Platform Market illustrate its transformative potential across various sectors, addressing evolving consumer needs and industry challenges while fostering innovation and efficiency.

    Artificial Intelligence Software Platform Market End Users Insights

    The End Users segment of the US Artificial Intelligence Software Platform Market is characterized by significant diversity, reflecting a wide range of industries leveraging AI technologies to enhance efficiency and decision-making processes. The Banking, Financial Services, and Insurance (BFSI) sector utilizes AI for risk management and customer service, evidencing its crucial role in financial transactions and fraud detection. Meanwhile, Manufacturing predominantly employs AI to optimize production lines and maintenance schedules, leading to reduced costs and improved operational efficiency.

    In the Healthcare sector, AI contributes to patient care management and predictive analytics, significantly influencing healthcare outcomes. The Transportation industry integrates AI for route optimization and autonomous vehicle technologies, showcasing its transformative impact on logistics and mobility. Retail organizations leverage AI for personalized customer experiences and inventory management, demonstrating its effectiveness in enhancing sales and customer satisfaction.

    Collectively, these sectors underscore the importance of AI as a driving force in pushing the boundaries of what is possible, creating opportunities for innovation and growth within the US Artificial Intelligence Software Platform Market.Industry trends indicate a growing emphasis on integrating AI across these segments, addressing the challenges of data management and cybersecurity while capitalizing on the evolving landscape of technology.

    Get more detailed insights about US Artificial Intelligence Software Platform Market

    Regional Insights

    Key Players and Competitive Insights

    The US Artificial Intelligence Software Platform Market is a dynamic and rapidly evolving landscape characterized by a proliferation of companies vying for leadership. The competitive insights within this market reveal a diverse array of players that leverage advanced technologies to provide innovative solutions across numerous sectors. Key drivers of competition include the pace of technological advancements, strategic partnerships, mergers and acquisitions, and the growing demand for AI capabilities in automating, optimizing, and enhancing business operations.

    Companies are increasingly focused on developing tailored solutions that cater to specific industry needs, fostering a landscape where adaptability and customer-centric approaches are vital for sustained growth. As organizations become more reliant on AI-driven insights for decision-making processes, the market is witnessing a trend toward greater investment in research and development to stay ahead of evolving customer expectations and regulatory challenges.

    In the realm of the US Artificial Intelligence Software Platform Market, SAP stands out as a formidable player with notable strengths. The company has established its presence through a robust portfolio of solutions that integrate AI capabilities into core enterprise applications, ensuring that businesses can streamline operations and improve efficiency. SAP's strength lies in its extensive experience and deep understanding of enterprise resource planning, alongside its commitment to innovation, which allows it to effectively leverage AI technologies to enhance user experience and business outcomes.

    Furthermore, SAP's ability to cultivate strong relationships with a diverse clientele across various industries positions it as a trusted partner for organizations seeking to implement AI solutions tailored to their specific requirements. This strategic approach not only solidifies SAP's market presence but also enhances its reputation as a leader in providing AI-driven software platforms in the competitive landscape.

    Palantir Technologies also plays a significant role within the US Artificial Intelligence Software Platform Market, renowned for its expertise in sophisticated data analytics and AI applications. The company focuses on facilitating organizations in making data-driven decisions by offering products such as Palantir Foundry and Palantir Gotham, which enable users to integrate, analyze, and visualize vast amounts of data efficiently. Palantir's strength lies in its ability to cater to a wide array of sectors, including government, healthcare, and finance, positioning itself as a powerful ally in tackling complex challenges.

    The company has successfully engaged in strategic partnerships and collaborations, bolstering its market presence while continuously expanding its product offerings. Additionally, Palantir has pursued mergers and acquisitions to enhance its technology capabilities and market reach, allowing it to remain competitive and responsive to the ever-evolving needs of customers in the US market. Through its innovative capabilities and commitment to providing powerful analytical tools, Palantir Technologies has established itself as a key player within the competitive framework of the US Artificial Intelligence Software Platform Market.

    Key Companies in the US Artificial Intelligence Software Platform Market market include

    Industry Developments

    The US Artificial Intelligence Software Platform Market is witnessing significant developments. In October 2023, OpenAI announced updates to its ChatGPT to enhance user engagement through advanced features designed for diverse applications, solidifying its market position. Meanwhile, Microsoft and SAP are increasing collaborations to integrate AI-powered solutions into enterprise applications, reflecting a growing trend toward strategic partnerships. Oracle has also been actively expanding its cloud and AI offerings, which has positively influenced its market valuation.

    In terms of mergers and acquisitions, Palantir Technologies acquired a minority stake in a cybersecurity firm in September 2023, signaling its intent to broaden its operational capabilities. Additionally, NVIDIA's acquisition of Arm Holdings in March 2022 continues to impact the AI ecosystem by boosting processing power for AI tasks. Growth in the market is evident, as companies like IBM and Salesforce reported increased revenue from AI solutions, appealing to a rapidly evolving digital landscape. Recent investments reflect a concerted effort among key players to enhance functionalities and drive advancements in AI technologies.

    Lastly, the market has experienced continuous expansion in past years, propelled by a surge in demand for AI-driven business solutions.

    Market Segmentation

    Outlook

    • BFSI
    • Manufacturing
    • Healthcare
    • Transportation
    • Retail

    Report Scope

    Report Scope:
    Report Attribute/Metric Source: Details
    MARKET SIZE 2018 10.52(USD Billion)
    MARKET SIZE 2024 11.25(USD Billion)
    MARKET SIZE 2035 280.0(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 33.94% (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, Palantir Technologies, OpenAI, Oracle, DataRobot, IBM, Adobe, Microsoft, C3.ai, Zebra Medical Vision, Google, Salesforce, NVIDIA, Amazon, Siemens
    SEGMENTS COVERED Deployment Model, Enterprise Size, Technology, Application, End Users
    KEY MARKET OPPORTUNITIES Natural language processing advancements, Predictive analytics for businesses, AI-driven automation solutions, Enhanced cybersecurity applications, Personalized customer experience tools
    KEY MARKET DYNAMICS Rapid technological advancements, Increasing demand for automation, Growing investment in AI, Expanding cloud computing adoption, Rising data generation rates
    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 expected market size of the US Artificial Intelligence Software Platform Market in 2024?

    The market is expected to be valued at 11.25 billion USD in 2024.

    What is the projected market size of the US Artificial Intelligence Software Platform Market by 2035?

    By 2035, the market is projected to grow significantly to 280.0 billion USD.

    What is the expected CAGR for the US Artificial Intelligence Software Platform Market from 2025 to 2035?

    The market is expected to witness a robust CAGR of 33.94 percent during this period.

    What are the main deployment models in the US Artificial Intelligence Software Platform Market?

    The main deployment models in the market are On-Premises and Cloud.

    What is the market value of the On-Premises segment in 2024?

    The On-Premises segment is valued at 4.25 billion USD in 2024.

    What will the value of the Cloud deployment model be in 2035?

    The Cloud deployment model is expected to reach 178.0 billion USD by 2035.

    Who are the key players in the US Artificial Intelligence Software Platform Market?

    Major players include SAP, Palantir Technologies, OpenAI, and Microsoft among others.

    What are some key applications driving the growth of the US Artificial Intelligence Software Platform Market?

    Key applications include data analytics, automation, and enhanced customer engagement.

    What challenges does the US Artificial Intelligence Software Platform Market face?

    Challenges include data privacy concerns and the need for skilled workforce to implement AI solutions.

    How does the current global scenario affect the US Artificial Intelligence Software Platform Market?

    The global scenario presents both challenges and opportunities, influencing market dynamics and growth trajectories.

    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 Software Platform Market, BY Deployment Model (USD Billion)
    45. On-Premises
    46. Cloud
    47. US Artificial Intelligence Software Platform Market, BY Enterprise Size (USD Billion)
    48. Large Enterprises
    49. Small & Medium Enterprises
    50. US Artificial Intelligence Software Platform Market, BY Technology (USD Billion)
    51. Computer Vision
    52. Data Analytics
    53. Machine Learning
    54. Natural Language Processing
    55. Others
    56. US Artificial Intelligence Software Platform Market, BY Application (USD Billion)
    57. Automation
    58. Remote Sensing
    59. Medical Diagnosis
    60. Speech Recognition
    61. Text Recognition
    62. US Artificial Intelligence Software Platform Market, BY End Users (USD Billion)
    63. BFSI
    64. Manufacturing
    65. Healthcare
    66. Transportation
    67. Retail
    68. Competitive Landscape
    69. Overview
    70. Competitive Analysis
    71. Market share Analysis
    72. Major Growth Strategy in the Artificial Intelligence Software Platform Market
    73. Competitive Benchmarking
    74. Leading Players in Terms of Number of Developments in the Artificial Intelligence Software Platform Market
    75. Key developments and growth strategies
    76. New Product Launch/Service Deployment
    77. Merger & Acquisitions
    78. Joint Ventures
    79. Major Players Financial Matrix
    80. Sales and Operating Income
    81. Major Players R&D Expenditure. 2023
    82. Company Profiles
    83. SAP
    84. Financial Overview
    85. Products Offered
    86. Key Developments
    87. SWOT Analysis
    88. Key Strategies
    89. Palantir Technologies
    90. Financial Overview
    91. Products Offered
    92. Key Developments
    93. SWOT Analysis
    94. Key Strategies
    95. OpenAI
    96. Financial Overview
    97. Products Offered
    98. Key Developments
    99. SWOT Analysis
    100. Key Strategies
    101. Oracle
    102. Financial Overview
    103. Products Offered
    104. Key Developments
    105. SWOT Analysis
    106. Key Strategies
    107. DataRobot
    108. Financial Overview
    109. Products Offered
    110. Key Developments
    111. SWOT Analysis
    112. Key Strategies
    113. IBM
    114. Financial Overview
    115. Products Offered
    116. Key Developments
    117. SWOT Analysis
    118. Key Strategies
    119. Adobe
    120. Financial Overview
    121. Products Offered
    122. Key Developments
    123. SWOT Analysis
    124. Key Strategies
    125. Microsoft
    126. Financial Overview
    127. Products Offered
    128. Key Developments
    129. SWOT Analysis
    130. Key Strategies
    131. C3.ai
    132. Financial Overview
    133. Products Offered
    134. Key Developments
    135. SWOT Analysis
    136. Key Strategies
    137. Zebra Medical Vision
    138. Financial Overview
    139. Products Offered
    140. Key Developments
    141. SWOT Analysis
    142. Key Strategies
    143. Google
    144. Financial Overview
    145. Products Offered
    146. Key Developments
    147. SWOT Analysis
    148. Key Strategies
    149. Salesforce
    150. Financial Overview
    151. Products Offered
    152. Key Developments
    153. SWOT Analysis
    154. Key Strategies
    155. NVIDIA
    156. Financial Overview
    157. Products Offered
    158. Key Developments
    159. SWOT Analysis
    160. Key Strategies
    161. Amazon
    162. Financial Overview
    163. Products Offered
    164. Key Developments
    165. SWOT Analysis
    166. Key Strategies
    167. Siemens
    168. Financial Overview
    169. Products Offered
    170. Key Developments
    171. SWOT Analysis
    172. Key Strategies
    173. References
    174. Related Reports
    175. US Artificial Intelligence Software Platform Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT MODEL, 2019-2035 (USD Billions)
    176. US Artificial Intelligence Software Platform Market SIZE ESTIMATES & FORECAST, BY ENTERPRISE SIZE, 2019-2035 (USD Billions)
    177. US Artificial Intelligence Software Platform Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035 (USD Billions)
    178. US Artificial Intelligence Software Platform Market SIZE ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    179. US Artificial Intelligence Software Platform Market SIZE ESTIMATES & FORECAST, BY END USERS, 2019-2035 (USD Billions)
    180. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    181. ACQUISITION/PARTNERSHIP
    182. MARKET SYNOPSIS
    183. US ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET ANALYSIS BY DEPLOYMENT MODEL
    184. US ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET ANALYSIS BY ENTERPRISE SIZE
    185. US ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET ANALYSIS BY TECHNOLOGY
    186. US ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET ANALYSIS BY APPLICATION
    187. US ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET ANALYSIS BY END USERS
    188. KEY BUYING CRITERIA OF ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET
    189. RESEARCH PROCESS OF MRFR
    190. DRO ANALYSIS OF ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET
    191. DRIVERS IMPACT ANALYSIS: ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET
    192. RESTRAINTS IMPACT ANALYSIS: ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET
    193. SUPPLY / VALUE CHAIN: ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET
    194. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY DEPLOYMENT MODEL, 2025 (% SHARE)
    195. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY DEPLOYMENT MODEL, 2019 TO 2035 (USD Billions)
    196. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY ENTERPRISE SIZE, 2025 (% SHARE)
    197. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY ENTERPRISE SIZE, 2019 TO 2035 (USD Billions)
    198. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    199. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    200. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY APPLICATION, 2025 (% SHARE)
    201. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    202. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY END USERS, 2025 (% SHARE)
    203. ARTIFICIAL INTELLIGENCE SOFTWARE PLATFORM MARKET, BY END USERS, 2019 TO 2035 (USD Billions)
    204. BENCHMARKING OF MAJOR COMPETITORS

    US Artificial Intelligence Software Platform Market Segmentation

     

     

     

    • Artificial Intelligence Software Platform Market By Deployment Model (USD Billion, 2019-2035)

      • On-Premises
      • Cloud

     

    • Artificial Intelligence Software Platform Market By Enterprise Size (USD Billion, 2019-2035)

      • Large Enterprises
      • Small & Medium Enterprises

     

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

      • Computer Vision
      • Data Analytics
      • Machine Learning
      • Natural Language Processing
      • Others

     

    • Artificial Intelligence Software Platform Market By Application (USD Billion, 2019-2035)

      • Automation
      • Remote Sensing
      • Medical Diagnosis
      • Speech Recognition
      • Text Recognition

     

    • Artificial Intelligence Software Platform Market By End Users (USD Billion, 2019-2035)

      • BFSI
      • Manufacturing
      • Healthcare
      • Transportation
      • Retail

     

     

     

     

     

     

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