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    Machine Learning Market

    ID: MRFR/ICT/1855-CR
    166 Pages
    Shubham Munde
    February 2020

    Machine Learning Market Research Report by Component (Hardware, Software), Organization Size (Large Enterprise, Small and Medium-Sized Enterprises) Vertical (BFSI, Media and Entertainment, Automotive, Telecommunication, Retail and E-commerce, Education, Healthcare, Government and Defense, others) and Region (North America, Europe, Asia-Pacific, Rest of the World) - Forecast to 2032

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    Table of Contents

    Machine Learning Market Summary

    As per Market Research Future Analysis, the Machine Learning Market is projected to grow from USD 3.871 Billion in 2022 to USD 49.875 Billion by 2032, at a CAGR of 32.8% during the forecast period from 2023 to 2032. The growth is driven by the increasing adoption of technology and automation, along with the rise of cloud-based platforms. Key sectors such as media, automotive, education, and healthcare are significantly contributing to this growth. Despite challenges like a lack of skilled workforce and data security issues, the market is expected to leverage opportunities arising from technological advancements and increased demand for AI-integrated systems.

    Key Market Trends & Highlights

    The Machine Learning Market is witnessing transformative growth driven by technological advancements and sector-specific applications.

    • Market size is expected to reach USD 49.875 Billion by 2032.
    • CAGR of 32.8% anticipated from 2023 to 2032.
    • North America is projected to dominate the market due to advanced R&D.
    • COVID-19 led to stable growth in ML applications across various industries.

    Market Size & Forecast

    2022 Market Size USD 3.871 Billion
    2032 Market Size USD 49.875 Billion
    CAGR 32.8%

    Major Players

    Microsoft Corporation, Google, Amazon.com, Intel Corporation, Facebook Inc, IBM Corporation, Baidu Inc, Wipro Limited, Nuance Communications, Cisco Systems, Inc, Apple Inc.

    Machine Learning Market Trends

    The Global Machine Learning Market is poised for transformative growth, driven by advancements in artificial intelligence and increasing demand for data-driven decision-making across various sectors.

    U.S. Department of Commerce

    Machine Learning Market Drivers

    Market Growth Projections

    The Global Machine Learning Market Industry is projected to experience substantial growth, with estimates indicating a rise from 5.63 USD Billion in 2024 to 116.8 USD Billion by 2035. This remarkable increase reflects a compound annual growth rate of 31.73% from 2025 to 2035, underscoring the industry's potential. The growth trajectory is influenced by various factors, including technological advancements, increased data generation, and the demand for automation. These projections highlight the dynamic nature of the market and the opportunities it presents for stakeholders across different sectors.

    Increasing Data Generation

    The Global Machine Learning Market Industry is significantly influenced by the exponential increase in data generation across various domains. With the proliferation of IoT devices, social media, and digital transactions, vast amounts of data are created daily. This data serves as a critical resource for training machine learning models, enabling more accurate predictions and insights. As organizations recognize the value of data-driven decision-making, the demand for machine learning solutions is expected to rise. This trend aligns with the market's projected growth from 5.63 USD Billion in 2024 to 116.8 USD Billion by 2035, highlighting the importance of data in shaping the industry.

    Enhanced Customer Experience

    The Global Machine Learning Market Industry is increasingly focused on enhancing customer experience through personalized services and recommendations. Businesses are utilizing machine learning algorithms to analyze customer behavior and preferences, allowing for tailored marketing strategies and improved service delivery. For instance, e-commerce platforms employ machine learning to recommend products based on user interactions, leading to higher conversion rates. This emphasis on customer-centric solutions is likely to drive market growth, as organizations strive to meet evolving consumer expectations and preferences, further solidifying the industry's trajectory.

    Growing Demand for Automation

    The Global Machine Learning Market Industry experiences a surge in demand for automation across numerous sectors, including manufacturing, finance, and healthcare. Organizations are increasingly leveraging machine learning to automate repetitive tasks, enhance operational efficiency, and reduce human error. For example, in the finance sector, machine learning algorithms are utilized for fraud detection and risk assessment, significantly improving decision-making processes. This growing reliance on automation is expected to contribute to a compound annual growth rate of 31.73% from 2025 to 2035, indicating a robust future for the industry.

    Regulatory Support and Funding

    The Global Machine Learning Market Industry benefits from supportive regulatory frameworks and increased funding from governments and private sectors. Various initiatives aim to promote research and development in machine learning technologies, fostering innovation and collaboration. For example, government grants and subsidies are often allocated to projects that leverage machine learning for public benefit, such as healthcare improvements and smart city developments. This supportive environment is expected to facilitate market expansion, as stakeholders recognize the potential of machine learning to address complex societal challenges.

    Rapid Technological Advancements

    The Global Machine Learning Market Industry is propelled by rapid technological advancements that enhance machine learning algorithms and frameworks. Innovations in hardware, such as GPUs and TPUs, enable faster processing and more complex computations. For instance, the integration of quantum computing is anticipated to revolutionize data processing capabilities. As of 2024, the market is valued at approximately 5.63 USD Billion, reflecting the increasing adoption of machine learning across various sectors. This trend is likely to continue, with projections indicating a market growth to 116.8 USD Billion by 2035, driven by ongoing technological improvements.

    Market Segment Insights

    Regional Insights

    Key Companies in the Machine Learning Market market include

    Industry Developments

    • Q2 2024: Microsoft launches new Copilot+ PCs with advanced AI and machine learning features Microsoft unveiled its Copilot+ PCs, integrating advanced machine learning capabilities directly into Windows devices, marking a major product launch aimed at accelerating AI adoption in personal computing.
    • Q2 2024: Nvidia acquires Run:ai to bolster machine learning workload orchestration Nvidia announced the acquisition of Israeli startup Run:ai, which specializes in machine learning workload management, to enhance its AI infrastructure offerings for enterprise customers.
    • Q2 2024: Anthropic raises $450 million in Series C funding to expand machine learning research AI startup Anthropic secured $450 million in a Series C funding round led by Spark Capital, with the funds earmarked for scaling up its machine learning research and product development.
    • Q3 2024: Google announces partnership with Mayo Clinic to deploy machine learning in healthcare diagnostics Google and Mayo Clinic entered a strategic partnership to deploy machine learning models for improving diagnostic accuracy and operational efficiency in healthcare settings.
    • Q3 2024: OpenAI appoints Sarah Friar as Chief Financial Officer OpenAI named former Nextdoor CEO Sarah Friar as its new CFO, signaling a focus on scaling its machine learning business operations and preparing for potential public offerings.
    • Q3 2024: NVIDIA opens new AI research center in Cambridge, UK NVIDIA inaugurated a new research facility in Cambridge dedicated to advancing machine learning and AI, aiming to foster innovation and collaboration with academic and industry partners.
    • Q4 2024: Databricks acquires Tabular to expand machine learning data management capabilities Databricks acquired Tabular, a data management startup, to enhance its machine learning platform with improved data versioning and governance features.
    • Q4 2024: Amazon Web Services wins $1.2 billion contract to provide machine learning cloud services to U.S. Department of Defense AWS secured a $1.2 billion contract to deliver machine learning-powered cloud infrastructure and analytics tools to the U.S. Department of Defense, supporting national security initiatives.
    • Q1 2025: Apple launches on-device machine learning features in iOS 19 Apple introduced new on-device machine learning capabilities in iOS 19, enabling advanced privacy-preserving AI features for users without relying on cloud processing.
    • Q1 2025: Siemens and Google Cloud announce partnership to integrate machine learning in industrial automation Siemens and Google Cloud formed a partnership to embed machine learning models into industrial automation systems, aiming to optimize manufacturing processes and reduce downtime.
    • Q2 2025: OpenAI launches enterprise-grade machine learning API for regulated industries OpenAI released a new API tailored for highly regulated sectors such as finance and healthcare, offering enhanced compliance and security features for machine learning applications.
    • Q2 2025: Hugging Face raises $300 million in Series D to expand open-source machine learning platform Hugging Face closed a $300 million Series D funding round to accelerate development of its open-source machine learning tools and expand its global engineering team.

    Future Outlook

    Machine Learning Market Future Outlook

    The Global Machine Learning Market is projected to grow at a 31.73% CAGR from 2024 to 2035, driven by advancements in AI, increased data generation, and demand for automation.

    New opportunities lie in:

    • Develop industry-specific ML solutions to enhance operational efficiency.
    • Invest in AI-driven analytics platforms for real-time decision-making.
    • Leverage cloud-based ML services to reduce infrastructure costs.

    By 2035, the Machine Learning Market is expected to reach unprecedented heights, solidifying its role in global technological advancement.

    Market Segmentation

    Report Overview

    Report Details
    • Historic Period: 2018-2021
    • Base Year: 2021
    • Forecast Period: 2022-2032
    Geographical Distributions
    • North America
    • Latin America
    • Europe
    • The Middle East and Africa
    • Asia pacific
    • Rest of the World

    Report Scope

    Attribute/Metric Details
      Market Size   USD 49.875 Billion by 2032
      CAGR   32.8% by 2023-2032
      Base Year   2023
      Forecast Period   2024-2032
      Historical Data   2021
      Forecast Units   Value (USD Billion)
      Report Coverage   Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
      Segments Covered   by Component, Vertical
      Geographies Covered   North America, Europe, Asia-Pacific, and Rest of the World (RoW)
      Key Vendors   Google (US), Microsoft Corporation. (US), Amazon.com, Inc. (US), Cisco Systems, Inc. (US), IBM Corporation (US), Apple Inc (US), Intel Corporation (US), Facebook, Inc. (US), Baidu Inc (China), Nuance Communications (US), and Wipro Limited (India).
      Key Market Opportunities   The large-scale adoption of big data in various sectors such as automotive, financial services, industrial, IT & telecommunications, energy, healthcare, consumer electronics, transportation & logistics, and research and development propel the market growth of machine learning software and solutions in North America.
      Key Market Drivers  An increase in unstructured data has led to increasing demand for machine learning solutions.The need for machine learning is driven by the growing adoption of cloud-based services. This growth in the deployment of cloud-based services has positively impacted the global machine learning market.

    Market Highlights

    Author
    Shubham Munde
    Research Analyst Level II

    With a technical background in information technology & semiconductors, Shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. He is the POC for our clients, for their consulting projects running under the ICT/Semiconductor domain. Shubham holds a Bachelor’s in Information and Technology and a Master of Business Administration (MBA). Shubham has executed over 150 research projects for our clients under the brand name Market Research Future in the last 2 years. His core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. He is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. He has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. He has worked on the projects of top tech brands such as IBM, Google, Microsoft, AWS, Meta, Oracle, Cisco Systems, Samsung, Accenture, VMware, Schneider Electric, Dell, HP, Ericsson, and so many others. He has worked on Metaverse, Web 3.0, Zero-Trust security, cyber-security, blockchain, quantum computing, robotics, 5G technology, High-Performance computing, data centers, AI, automation, IT equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.

    Get In Touch
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    FAQs

    How big is the ML market?

    The global ML Market size is projected to reach USD 49.875 Billion by 2032, growing at a CAGR of 32.8% from 2024 to 2032.

    Who are the key players in the global machine learning market?

    Google (US), Amazon.com, Inc. (US), Microsoft Corporation. (US), Nuance Communications (US), Cisco Systems, Inc. (US), Apple Inc (US), IBM Corporation (US), Intel Corporation (US), Baidu Inc (China), Facebook, Inc. (the US), and Wipro Limited (India).

    Which regions have been analyzed for the regional analysis of the global machine learning market?

    The regional analysis of the global machine learning market has been conducted in five major regions, namely, North America, Asia Pacific, Europe, Latin America, and the Middle East and Africa.

    What is the segmentation of the global machine learning market?

    The segmentation of the global machine learning market is done on the basis of component, organization size, and vertical.

    What are the driving factors of the global machine learning market?

    An increase in unstructured data has led to increasing demand for machine learning solutions. The need for machine learning is driven by the growing adoption of cloud-based services. This growth in the deployment of cloud-based services has positively impacted the global machine learning market.

    Which industry uses machine learning the most?

    In the Artificial Intelligence (AI) is beginning to play a leading role as well as Automotive, Telecommunication, Healthcare, Education and in life science also mostly used machine learning.

    1. Executive Summary
      1. Market Attractiveness Analysis 17
        1. Global Machine Learning Market, By Component 18
        2. Global
    2. Machine Learning Market, By Organization Size 19
      1. Global Machine
    3. Learning Market, By Vertical 20
      1. Global Machine Learning Market, By
    4. Region 21
    5. Market Introduction
      1. Definition 22
      2. Scope Of The Study 22
      3. Market Structure 22
    6. Research
    7. Methodology
      1. Research Process 23
      2. Primary Research 24
      3. Secondary Research 25
      4. Market Size Estimation 25
      5. Forecast Vertical 26
      6. List Of Assumptions 27
    8. Market
    9. Insights
    10. Market Dynamics
      1. Introduction 30
      2. Drivers 31
        1. Increasing Adoption Of Cloud-Based Services
        2. Increasing Unstructured Data Leads To The Increasing Demand
    11. For Machine Learning Solutions 31
      1. Drivers Impact Analysis 32
      2. Restraints 32
        1. Lack Of Technical Expertise 32
        2. Restraints Impact Analysis 33
      3. Opportunity 33
    12. Advantages Of Machine Learning Solutions In Healthcare, Agriculture, And Marketing
    13. Automation 33
      1. Challenge 34
        1. Requirement Of Massive
    14. Datasets For Training 34
    15. Market Factor Analysis
      1. Supply
    16. Chain Analysis 35
      1. Design 36
        1. Card/Processors 36
        2. System & Software 36
        3. End–Users & Services
      2. Porter’s Five Forces Vertical 37
        1. Threat
    17. Of New Entrants 37
      1. Bargaining Power Of Suppliers 38
    18. Bargaining Power Of Buyers 38
      1. Threat Of Substitutes 38
        1. Intensity Of Rivalry 38
    19. Global Machine Learning Market, By
    20. Component
      1. Overview 39
      2. Hardware 40
    21. Processors 41
      1. Memory 41
        1. Network 41
    22. Software 42
      1. Solution 43
        1. Platform 43
    23. Services 43
    24. Global Machine Learning Market, By Organization Size
      1. Overview 45
      2. Large Enterprises 46
      3. Small
    25. & Medium Sized Enterprises 46
    26. Global Machine Learning Market, By
    27. Vertical
      1. Overview 47
        1. BFSI 48
        2. Media
    28. And Entertainment 49
      1. Automotive 49
        1. Telecommunication
        2. Retail And Ecommerce 49
        3. Education 50
        4. Healthcare 50
        5. Government & Defense 50
    29. Others 50
    30. Global Machine Learning Market, By Region
    31. Overview 51
      1. North America 52
        1. US 58
    32. Canada 61
      1. Mexico 64
      2. Europe 67
    33. U.K. 73
      1. Germany 76
        1. France 79
    34. Italy 82
      1. Spain 85
        1. Rest Of Europe 88
      2. Asia Pacific 91
        1. China 97
        2. India 100
        3. Japan 103
        4. Australia 106
        5. Rest
    35. Of Asia-Pacific 109
      1. Rest Of The World 112
        1. Middle
    36. East & Africa 118
      1. South America 121
    37. Competitive Landscape
      1. Competitive Overview 124
      2. Key Players Market
    38. Share Analysis, 2020 (%) 124
    39. Company Profiles
      1. Google
        1. Company Overview 126
        2. Financial Overview
        3. Products/Services/Solutions Offered 128
    40. Key Developments 128
      1. SWOT Analysis 129
        1. Key Strategies
      2. Microsoft Corporation 130
        1. Company Overview
        2. Financial Overview 131
        3. Products/Services/Solutions
    41. Offered 132
      1. Key Developments 132
        1. SWOT Analysis
        2. Key Strategies 133
      2. Amazon.Com, Inc. (AWS)
        1. Company Overview 134
        2. Financial Overview
        3. Products/Services/Solutions Offered 135
    42. Key Developments 135
      1. SWOT Analysis 136
        1. Key Strategies
      2. Cisco Systems, Inc. 137
        1. Company Overview 137
        2. Financial Overview 138
        3. Products/Services/Solutions
    43. Offered 139
      1. Key Developments 139
        1. SWOT Analysis
        2. Key Strategies 140
      2. IBM Corporation 141
        1. Company Overview 141
        2. Financial Overview 142
        3. Products/Services/Solutions Offered 143
        4. Key Developments
        5. SWOT Analysis 144
        6. Key Strategies 144
      3. Apple Inc. 145
        1. Company Overview 145
    44. Financial Overview 145
      1. Products/Services/Solutions Offered 146
        1. Key Developments 146
        2. SWOT Analysis 146
        3. Key Strategies 147
      2. Intel Corporation 148
    45. Company Overviews 148
      1. Financial Overview 149
    46. Products/Services/Solutions Offered 150
      1. Key Developments 150
        1. SWOT Analysis 150
        2. Key Strategies 151
    47. Facebook, Inc. 152
      1. Company Overview 152
        1. Financial
    48. Overview 152
      1. Products/Services/Solutions Offered 153
        1. Key Developments 153
        2. SWOT Analysis 153
    49. Key Strategies 154
      1. Baidu Inc. 155
        1. Company Overview
        2. Financial Overview 156
        3. Products/Services/Solutions
    50. Offered 156
      1. Key Developments 157
        1. SWOT Analysis
        2. Key Strategies 157
      2. Nuance Communications
        1. Company Overviews 158
        2. Financial Overview
        3. Products/Services/Solutions Offered 159
    51. Key Developments 160
      1. SWOT Analysis 160
        1. Key
    52. Strategy 161
      1. Wipro Limited 162
        1. Company Overviews
        2. Financial Overview 163
        3. Products/Services/Solutions
    53. Offered 163
      1. Key Developments 164
        1. SWOT Analysis
        2. Key Strategy 164
    54. Appendix
      1. List
    55. Of Abbreviations 165
    56. List Of Tables
    57. (USD MILLION) 39
    58. –2027 (USD MILLION) 40
    59. BY SOFTWARE, 2020–2027 (USD MILLION) 42
    60. LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION) 44
    61. GLOBAL MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2020–2027 (USD MILLION)
    62. (USD MILLION) 48
    63. (USD MILLION) 51
    64. –2027 (USD MILLION) 52
    65. MARKET, BY COMPONENT, 2020–2027 (USD MILLION) 53
    66. AMERICA: MACHINE LEARNING MARKET, BY HARDWARE, 2020–2027 (USD MILLION) 54
    67. (USD MILLION) 54
    68. SERVICES, 2020–2027 (USD MILLION) 55
    69. LEARNING MARKET, BY ORGANIZATION SIZE, 2020–2027 (USD MILLION) 56
    70. (USD MILLION) 57
    71. –2027 (USD MILLION) 58
    72. BY HARDWARE, 2020–2027 (USD MILLION) 58
    73. MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 59
    74. LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION) 59
    75. US: MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2020–2027 (USD MILLION)
    76. (USD MILLION) 60
    77. –2027 (USD MILLION) 61
    78. BY HARDWARE, 2020–2027 (USD MILLION) 61
    79. LEARNING MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 62
    80. CANADA: MACHINE LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION) 62
    81. (USD MILLION) 62
    82. –2027 (USD MILLION) 63
    83. BY COMPONENT, 2020–2027 (USD MILLION) 64
    84. LEARNING MARKET, BY HARDWARE, 2020–2027 (USD MILLION) 64
    85. MEXICO: MACHINE LEARNING MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 65
    86. MILLION) 65
    87. SIZE, 2020–2027 (USD MILLION) 65
    88. MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 66
    89. MACHINE LEARNING MARKET, BY COUNTRY, 2020–2027 (USD MILLION) 68
    90. EUROPE: MACHINE LEARNING MARKET, BY COMPONENT, 2020–2027 (USD MILLION)
    91. (USD MILLION) 69
    92. –2027 (USD MILLION) 70
    93. BY SERVICES, 2020–2027 (USD MILLION) 71
    94. LEARNING MARKET, BY ORGANIZATION SIZE, 2020–2027 (USD MILLION) 71
    95. (USD MILLION) 73
    96. –2027 (USD MILLION) 73
    97. BY SOFTWARE, 2020–2027 (USD MILLION) 74
    98. LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION) 74
    99. U.K.: MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2020–2027 (USD MILLION)
    100. (USD MILLION) 75
    101. –2027 (USD MILLION) 76
    102. BY HARDWARE, 2020–2027 (USD MILLION) 76
    103. LEARNING MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 77
    104. GERMANY: MACHINE LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION)
    105. (USD MILLION) 77
    106. –2027 (USD MILLION) 78
    107. BY COMPONENT, 2020–2027 (USD MILLION) 79
    108. LEARNING MARKET, BY HARDWARE, 2020–2027 (USD MILLION) 79
    109. FRANCE: MACHINE LEARNING MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 80
    110. MILLION) 80
    111. SIZE, 2020–2027 (USD MILLION) 80
    112. MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 81
    113. MACHINE LEARNING MARKET, BY COMPONENT, 2020–2027 (USD MILLION) 82
    114. (USD MILLION) 83
    115. –2027 (USD MILLION) 83
    116. BY ORGANIZATION SIZE, 2020–2027 (USD MILLION) 83
    117. MACHINE LEARNING MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 84
    118. (USD MILLION) 85
    119. –2027 (USD MILLION) 86
    120. BY SERVICES, 2020–2027 (USD MILLION) 86
    121. LEARNING MARKET, BY ORGANIZATION SIZE, 2020–2027 (USD MILLION) 86
    122. (USD MILLION) 88
    123. HARDWARE, 2020–2027 (USD MILLION) 88
    124. LEARNING MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 89
    125. REST OF EUROPE: MACHINE LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION)
    126. SIZE, 2020–2027 (USD MILLION) 89
    127. LEARNING MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 90
    128. ASIA PACIFIC: MACHINE LEARNING MARKET, BY COUNTRY, 2020–2027 (USD MILLION)
    129. (USD MILLION) 92
    130. –2027 (USD MILLION) 93
    131. MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 93
    132. MACHINE LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION) 94
    133. (USD MILLION) 95
    134. –2027 (USD MILLION) 96
    135. BY COMPONENT, 2020–2027 (USD MILLION) 97
    136. LEARNING MARKET, BY HARDWARE, 2020–2027 (USD MILLION) 97
    137. CHINA: MACHINE LEARNING MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 98
    138. MILLION) 98
    139. SIZE, 2020–2027 (USD MILLION) 98
    140. MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 99
    141. MACHINE LEARNING MARKET, BY COMPONENT, 2020–2027 (USD MILLION) 100
    142. (USD MILLION) 101
    143. –2027 (USD MILLION) 101
    144. BY ORGANIZATION SIZE, 2020–2027 (USD MILLION) 102
    145. MACHINE LEARNING MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 102
    146. (USD MILLION) 103
    147. –2027 (USD MILLION) 104
    148. BY SERVICES, 2020–2027 (USD MILLION) 104
    149. LEARNING MARKET, BY ORGANIZATION SIZE, 2020–2027 (USD MILLION) 104
    150. (USD MILLION) 106
    151. –2027 (USD MILLION) 106
    152. MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 107
    153. MACHINE LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION) 107
    154. (USD MILLION) 107
    155. –2027 (USD MILLION) 108
    156. LEARNING MARKET, BY COMPONENT, 2020–2027 (USD MILLION) 109
    157. REST OF ASIA-PACIFIC: MACHINE LEARNING MARKET, BY HARDWARE, 2020–2027
    158. (USD MILLION) 109
    159. BY SOFTWARE, 2020–2027 (USD MILLION) 110
    160. MACHINE LEARNING MARKET, BY SERVCIES, 2020–2027 (USD MILLION) 110
    161. –2027 (USD MILLION) 110
    162. LEARNING MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 111
    163. REST OF THE WORLD: MACHINE LEARNING MARKET, BY COUNTRY, 2020–2027 (USD
    164. MILLION) 112
    165. COMPONENT, 2020–2027 (USD MILLION) 113
    166. MACHINE LEARNING MARKET SHARE, BY HARDWARE, 2020 -2027 (USD MILLION) 113
    167. (USD MILLION) 114
    168. SHARE, BY SOFTWARE, 2020 -2027 (USD MILLION) 114
    169. WORLD: MACHINE LEARNING MARKET, BY SOFTWARE, 2020–2027 (USD MILLION) 114
    170. 2027 (USD MILLION) 115
    171. MARKET, BY SERVICES, 2020–2027 (USD MILLION) 115
    172. OF THE WORLD: MACHINE LEARNING MARKET SHARE, BY ORGANIZATION SIZE, 2020 -2027 (USD
    173. MILLION) 115
    174. ORGANIZATION SIZE, 2020–2027 (USD MILLION) 116
    175. THE WORLD: MACHINE LEARNING MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 117
    176. –2027 (USD MILLION) 118
    177. MACHINE LEARNING MARKET, BY HARDWARE, 2020–2027 (USD MILLION) 118
    178. (USD MILLION) 119
    179. MARKET, BY SERVICES, 2020–2027 (USD MILLION) 119
    180. EAST & AFRICA: MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2020–2027
    181. (USD MILLION) 119
    182. MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 120
    183. AMERICA: MACHINE LEARNING MARKET, BY COMPONENT, 2020–2027 (USD MILLION) 121
    184. (USD MILLION) 121
    185. SOFTWARE, 2020–2027 (USD MILLION) 122
    186. MACHINE LEARNING MARKET, BY SERVICES, 2020–2027 (USD MILLION) 122
    187. (USD MILLION) 122
    188. VERTICAL, 2020–2027 (USD MILLION) 123
    189. List
    190. Of Figures
    191. ANALYSIS: GLOBAL MACHINE LEARNING MARKET 17
    192. MARKET ANALYSIS BY COMPONENT, 2020 (%) 18
    193. MARKET ANALYSIS BY ORGANIZATION SIZE, 2020 (%) 19
    194. LEARNING MARKET ANALYSIS BY VERTICAL, 2020 (%) 20
    195. LEARNING MARKET ANALYSIS BY REGION, 2020 (%) 21
    196. LEARNING MARKET: MARKET STRUCTURE 22
    197. NORTH AMERICA MARKET SIZE & MARKET SHARE BY COUNTRY (2020 VS 2027) 28
    198. DRIVERS IMPACT ANALYSIS: MACHINE LEARNING MARKET 32
    199. IMPACT ANALYSIS: MACHINE LEARNING MARKET 33
    200. MACHINE LEARNING MARKET 35
    201. THE GLOBAL MACHINE LEARNING MARKET 37
    202. MARKET, BY COMPONENT, 2020–2027 (USD MILLION) 39
    203. MACHINE LEARNING MARKET, BY HARDWARE , 2020–2027 (USD MILLION) 40
    204. (USD MILLION) 44
    205. SIZE, 2020–2027 (USD MILLION) 45
    206. MARKET, BY VERTICAL, 2020–2027 (USD MILLION) 47
    207. MACHINE LEARNING MARKET, BY REGION, 2020–2027 (USD MILLION) 51
    208. NORTH AMERICA: MACHINE LEARNING MARKET SHARE, BY COUNTRY, 2020–2027 (USD
    209. MILLION) 52
    210. COMPONENT, 2020–2027 (USD MILLION) 53
    211. MACHINE LEARNING MARKET SHARE, BY HARDWARE, 2020–2027 (USD MILLION) 53
    212. (USD MILLION) 54
    213. SERVICES, 2020–2027 (USD MILLION) 55
    214. LEARNING MARKET SHARE, BY ORGANIZATION SIZE, 2020–2027 (USD MILLION) 55
    215. (USD MILLION) 56
    216. COUNTRY, 2020–2027 (USD MILLION) 67
    217. MARKET SHARE, BY COMPONENT, 2020–2027 (USD MILLION) 68
    218. EUROPE: MACHINE LEARNING MARKET SHARE, HARDWARE, 2020–2027 (USD MILLION) 69
    219. (USD MILLION) 70
    220. –2027 (USD MILLION) 70
    221. SHARE, ORGANIZATION SIZE, 2020–2027 (USD MILLION) 71
    222. EUROPE: MACHINE LEARNING MARKET SHARE, BY VERTICAL, 2020–2027 (USD MILLION)
    223. –2027 (USD MILLION) 91
    224. MARKET SHARE, BY COMPONENT, 2020–2027 (USD MILLION) 92
    225. ASIA-PACIFIC: MACHINE LEARNING MARKET SHARE, BY HARDWARE, 2020–2027 (USD MILLION)
    226. –2027 (USD MILLION) 93
    227. MARKET SHARE, BY SERVICES, 2020–2027 (USD MILLION) 94
    228. ASIA-PACIFIC: MACHINE LEARNING MARKET SHARE, BY ORGANIZATION SIZE, 2020–2027
    229. (USD MILLION) 94
    230. BY VERTICAL, 2020–2027 (USD MILLION) 95
    231. MACHINE LEARNING MARKET SHARE, BY REGION, 2020–2027 (USD MILLION) 112
    232. (USD MILLION) 113
    233. –2027 (USD MILLION) 116
    234. KEY PLAYERS MARKET SHARE ANALYSIS, 2020 (%) 124

    Machine Learning Market Segmentation

    Market Segmentation Overview

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