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Global and United States AI & Machine Learning Operationalization (MLOps) Software Market Report & Forecast 2022-2028

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Table of Contents

    1 Study Coverage

    • 1.1 AI & Machine Learning Operationalization (MLOps) Software Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022) & (US$ Million) Introduction
    • 1.2 Global AI & Machine Learning Operationalization (MLOps) Software Outlook 2017 VS 2022 VS 2028
      • 1.2.1 Global AI & Machine Learning Operationalization (MLOps) Software Market Size for the Year 2017-2028
      • 1.2.2 Global AI & Machine Learning Operationalization (MLOps) Software Market Size for the Year 2017-2028
    • 1.3 AI & Machine Learning Operationalization (MLOps) Software Market Size, United States VS Global, 2017 VS 2022 VS 2028
      • 1.3.1 The Market Share of United States AI & Machine Learning Operationalization (MLOps) Software in Global, 2017 VS 2022 VS 2028
      • 1.3.2 The Growth Rate of AI & Machine Learning Operationalization (MLOps) Software Market Size, United States VS Global, 2017 VS 2022 VS 2028
    • 1.4 AI & Machine Learning Operationalization (MLOps) Software Market Dynamics
      • 1.4.1 AI & Machine Learning Operationalization (MLOps) Software Industry Trends
      • 1.4.2 AI & Machine Learning Operationalization (MLOps) Software Market Drivers
      • 1.4.3 AI & Machine Learning Operationalization (MLOps) Software Market Challenges
      • 1.4.4 AI & Machine Learning Operationalization (MLOps) Software Market Restraints
    • 1.5 Study Objectives
    • 1.6 Years Considered

    2 AI & Machine Learning Operationalization (MLOps) Software by Type

    • 2.1 AI & Machine Learning Operationalization (MLOps) Software Market Segment by Type
      • 2.1.1 Artificial Intelligence Platforms
      • 2.1.2 Chatbots
      • 2.1.3 Deep Learning Software
      • 2.1.4 Machine Learning Software
    • 2.2 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Type (2017, 2022 & 2028)
    • 2.3 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Type (2017-2028)
    • 2.4 United States AI & Machine Learning Operationalization (MLOps) Software Market Size by Type (2017, 2022 & 2028)
    • 2.5 United States AI & Machine Learning Operationalization (MLOps) Software Market Size by Type (2017-2028)

    3 AI & Machine Learning Operationalization (MLOps) Software by Application

    • 3.1 AI & Machine Learning Operationalization (MLOps) Software Market Segment by Application
      • 3.1.1 SMEs
      • 3.1.2 Large Enterprises
    • 3.2 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Application (2017, 2022 & 2028)
    • 3.3 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Application (2017-2028)
    • 3.4 United States AI & Machine Learning Operationalization (MLOps) Software Market Size by Application (2017, 2022 & 2028)
    • 3.5 United States AI & Machine Learning Operationalization (MLOps) Software Market Size by Application (2017-2028)

    4 Global AI & Machine Learning Operationalization (MLOps) Software Competitor Landscape by Company

    • 4.1 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Company
      • 4.1.1 Top Global AI & Machine Learning Operationalization (MLOps) Software Companies Ranked by Revenue (2021)
      • 4.1.2 Global AI & Machine Learning Operationalization (MLOps) Software Revenue by Player (2017-2022)
    • 4.2 Global AI & Machine Learning Operationalization (MLOps) Software Concentration Ratio (CR)
      • 4.2.1 AI & Machine Learning Operationalization (MLOps) Software Market Concentration Ratio (CR) (2017-2022)
      • 4.2.2 Global Top 5 and Top 10 Largest Companies of AI & Machine Learning Operationalization (MLOps) Software in 2021
      • 4.2.3 Global AI & Machine Learning Operationalization (MLOps) Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
    • 4.3 Global AI & Machine Learning Operationalization (MLOps) Software Headquarters, Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022) & (US$ Million) Type
      • 4.3.1 Global AI & Machine Learning Operationalization (MLOps) Software Headquarters and Area Served
      • 4.3.2 Global AI & Machine Learning Operationalization (MLOps) Software Companies Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022) & (US$ Million) Type
      • 4.3.3 Date of International Companies Enter into AI & Machine Learning Operationalization (MLOps) Software Market
    • 4.4 Companies Mergers & Acquisitions, Expansion Plans
    • 4.5 United States AI & Machine Learning Operationalization (MLOps) Software Market Size by Company
      • 4.5.1 Top AI & Machine Learning Operationalization (MLOps) Software Players in United States, Ranked by Revenue (2021)
      • 4.5.2 United States AI & Machine Learning Operationalization (MLOps) Software Revenue by Players (2020, 2021 & 2022)

    5 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Region

    • 5.1 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Region: 2017 VS 2022 VS 2028
    • 5.2 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Region (2017-2028)
      • 5.2.1 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Region: 2017-2022
      • 5.2.2 Global AI & Machine Learning Operationalization (MLOps) Software Market Size by Region (2023-2028)

    6 Segment in Region Level & Country Level

    • 6.1 North America
      • 6.1.1 North America AI & Machine Learning Operationalization (MLOps) Software Market Size YoY Growth 2017-2028
      • 6.1.2 North America AI & Machine Learning Operationalization (MLOps) Software Market Facts & Figures by Country (2017, 2022 & 2028)
      • 6.1.3 United States
      • 6.1.4 Canada
    • 6.2 Asia-Pacific
      • 6.2.1 Asia-Pacific AI & Machine Learning Operationalization (MLOps) Software Market Size YoY Growth 2017-2028
      • 6.2.2 Asia-Pacific AI & Machine Learning Operationalization (MLOps) Software Market Facts & Figures by Region (2017, 2022 & 2028)
      • 6.2.3 China
      • 6.2.4 Japan
      • 6.2.5 South Korea
      • 6.2.6 India
      • 6.2.7 Australia
      • 6.2.8 China Taiwan
      • 6.2.9 Indonesia
      • 6.2.10 Thailand
      • 6.2.11 Malaysia
    • 6.3 Europe
      • 6.3.1 Europe AI & Machine Learning Operationalization (MLOps) Software Market Size YoY Growth 2017-2028
      • 6.3.2 Europe AI & Machine Learning Operationalization (MLOps) Software Market Facts & Figures by Country (2017, 2022 & 2028)
      • 6.3.3 Germany
      • 6.3.4 France
      • 6.3.5 UK
      • 6.3.6 Italy
      • 6.3.7 Russia
    • 6.4 Latin America
      • 6.4.1 Latin America AI & Machine Learning Operationalization (MLOps) Software Market Size YoY Growth 2017-2028
      • 6.4.2 Latin America AI & Machine Learning Operationalization (MLOps) Software Market Facts & Figures by Country (2017, 2022 & 2028)
      • 6.4.3 Mexico
      • 6.4.4 Brazil
      • 6.4.5 Argentina
      • 6.4.6 Colombia
    • 6.5 Middle East and Africa
      • 6.5.1 Middle East and Africa AI & Machine Learning Operationalization (MLOps) Software Market Size YoY Growth 2017-2028
      • 6.5.2 Middle East and Africa AI & Machine Learning Operationalization (MLOps) Software Market Facts & Figures by Country (2017, 2022 & 2028)
      • 6.5.3 Turkey
      • 6.5.4 Saudi Arabia
      • 6.5.5 UAE

    7 Company Profiles

    • 7.1 Google
      • 7.1.1 Google Company Details
      • 7.1.2 Google Business Overview
      • 7.1.3 Google AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.1.4 Google Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.1.5 Google Recent Development
    • 7.2 Azure Machine Learning Studio
      • 7.2.1 Azure Machine Learning Studio Company Details
      • 7.2.2 Azure Machine Learning Studio Business Overview
      • 7.2.3 Azure Machine Learning Studio AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.2.4 Azure Machine Learning Studio Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.2.5 Azure Machine Learning Studio Recent Development
    • 7.3 TensorFlow
      • 7.3.1 TensorFlow Company Details
      • 7.3.2 TensorFlow Business Overview
      • 7.3.3 TensorFlow AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.3.4 TensorFlow Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.3.5 TensorFlow Recent Development
    • 7.4 H2O.AI
      • 7.4.1 H2O.AI Company Details
      • 7.4.2 H2O.AI Business Overview
      • 7.4.3 H2O.AI AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.4.4 H2O.AI Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.4.5 H2O.AI Recent Development
    • 7.5 Cortana
      • 7.5.1 Cortana Company Details
      • 7.5.2 Cortana Business Overview
      • 7.5.3 Cortana AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.5.4 Cortana Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.5.5 Cortana Recent Development
    • 7.6 IBM Watson
      • 7.6.1 IBM Watson Company Details
      • 7.6.2 IBM Watson Business Overview
      • 7.6.3 IBM Watson AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.6.4 IBM Watson Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.6.5 IBM Watson Recent Development
    • 7.7 Salesforce Einstein
      • 7.7.1 Salesforce Einstein Company Details
      • 7.7.2 Salesforce Einstein Business Overview
      • 7.7.3 Salesforce Einstein AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.7.4 Salesforce Einstein Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.7.5 Salesforce Einstein Recent Development
    • 7.8 Infosys Nia
      • 7.8.1 Infosys Nia Company Details
      • 7.8.2 Infosys Nia Business Overview
      • 7.8.3 Infosys Nia AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.8.4 Infosys Nia Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.8.5 Infosys Nia Recent Development
    • 7.9 Amazon Alexa
      • 7.9.1 Amazon Alexa Company Details
      • 7.9.2 Amazon Alexa Business Overview
      • 7.9.3 Amazon Alexa AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.9.4 Amazon Alexa Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.9.5 Amazon Alexa Recent Development
    • 7.10 SiQ
      • 7.10.1 SiQ Company Details
      • 7.10.2 SiQ Business Overview
      • 7.10.3 SiQ AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.10.4 SiQ Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.10.5 SiQ Recent Development
    • 7.11 Robin
      • 7.11.1 Robin Company Details
      • 7.11.2 Robin Business Overview
      • 7.11.3 Robin AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.11.4 Robin Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.11.5 Robin Recent Development
    • 7.12 Condeco
      • 7.12.1 Condeco Company Details
      • 7.12.2 Condeco Business Overview
      • 7.12.3 Condeco AI & Machine Learning Operationalization (MLOps) Software Introduction
      • 7.12.4 Condeco Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
      • 7.12.5 Condeco Recent Development

    8 Research Findings and Conclusion

      9 Appendix

      • 9.1 Research Methodology
        • 9.1.1 Methodology/Research Approach
        • 9.1.2 Data Source
      • 9.2 Author Details

      Summary:
      AI & machine learning operationalization (MLOps) software allows users to manage and monitor machine learning models as they are integrated into business applications. In addition, many of these tools facilitate the deployment of models.
      Market Analysis and Insights: Global and United States AI & Machine Learning Operationalization (MLOps) Software Market
      This report focuses on global and United States AI & Machine Learning Operationalization (MLOps) Software market, also covers the segmentation data of other regions in regional level and county level.
      Due to the COVID-19 pandemic, the global AI & Machine Learning Operationalization (MLOps) Software market size is estimated to be worth US$ million in 2022 and is forecast to a readjusted size of US$ million by 2028 with a CAGR of % during the review period. Fully considering the economic change by this health crisis, by Type, Artificial Intelligence Platforms accounting for % of the AI & Machine Learning Operationalization (MLOps) Software global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR in the post-COVID-19 period. While by Application, SMEs was the leading segment, accounting for over percent market share in 2021, and altered to an % CAGR throughout this forecast period.
      In United States the AI & Machine Learning Operationalization (MLOps) Software market size is expected to grow from US$ million in 2021 to US$ million by 2028, at a CAGR of % during the forecast period.
      Global AI & Machine Learning Operationalization (MLOps) Software Scope and Market Size
      AI & Machine Learning Operationalization (MLOps) Software market is segmented by region (country), players, by Type and by Application. Players, stakeholders, and other participants in the global AI & Machine Learning Operationalization (MLOps) Software market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by region (country), by Type and by Application for the period 2017-2028.
      For United States market, this report focuses on the AI & Machine Learning Operationalization (MLOps) Software market size by players, by Type and by Application, for the period 2017-2028. The key players include the global and local players, which play important roles in United States.
      Segment by Type, the AI & Machine Learning Operationalization (MLOps) Software market is segmented into
      Artificial Intelligence Platforms
      Chatbots
      Deep Learning Software
      Machine Learning Software
      Segment by Application, the AI & Machine Learning Operationalization (MLOps) Software market is segmented into
      SMEs
      Large Enterprises
      Regional and Country-level Analysis
      North America
      United States
      Canada
      Europe
      Germany
      France
      UK
      Italy
      Russia
      Asia-Pacific
      China
      Japan
      South Korea
      India
      Australia
      China Taiwan
      Indonesia
      Thailand
      Malaysia
      Latin America
      Mexico
      Brazil
      Argentina
      Colombia
      Middle East & Africa
      Turkey
      Saudi Arabia
      UAE
      Competitive Landscape and AI & Machine Learning Operationalization (MLOps) Software Market Share Analysis
      AI & Machine Learning Operationalization (MLOps) Software market competitive landscape provides details and data information by players. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2017-2022. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by players for the period 2017-2022. Details included are company description, major business, company total revenue and the sales, revenue generated in AI & Machine Learning Operationalization (MLOps) Software business, the date to enter into the AI & Machine Learning Operationalization (MLOps) Software market, Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022) & (US$ Million) introduction, recent developments, etc.
      The major vendors covered:
      Google
      Azure Machine Learning Studio
      TensorFlow
      H2O.AI
      Cortana
      IBM Watson
      Salesforce Einstein
      Infosys Nia
      Amazon Alexa
      as
      Robin
      I condeco
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