1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI & Machine Learning Operationalization (MLOps) Software Market Size Growth Rate by Type: 2017 VS 2021 VS 2028
1.2.2 Artificial Intelligence Platforms
1.2.3 Chatbots
1.2.4 Deep Learning Software
1.2.5 Machine Learning Software
1.3 Market by Application
1.3.1 Global AI & Machine Learning Operationalization (MLOps) Software Market Share by Application: 2017 VS 2021 VS 2028
1.3.2 SMEs
1.3.3 Large Enterprises
1.4 Study Objectives
1.5 Years Considered 2 Global Growth Trends
2.1 Global AI & Machine Learning Operationalization (MLOps) Software Market Perspective (2017-2028)
2.2 AI & Machine Learning Operationalization (MLOps) Software Growth Trends by Region
2.2.1 AI & Machine Learning Operationalization (MLOps) Software Market Size by Region: 2017 VS 2021 VS 2028
2.2.2 AI & Machine Learning Operationalization (MLOps) Software Historic Market Size by Region (2017-2022)
2.2.3 AI & Machine Learning Operationalization (MLOps) Software Forecasted Market Size by Region (2023-2028)
2.3 AI & Machine Learning Operationalization (MLOps) Software Market Dynamics
2.3.1 AI & Machine Learning Operationalization (MLOps) Software Industry Trends
2.3.2 AI & Machine Learning Operationalization (MLOps) Software Market Drivers
2.3.3 AI & Machine Learning Operationalization (MLOps) Software Market Challenges
2.3.4 AI & Machine Learning Operationalization (MLOps) Software Market Restraints 3 Competition Landscape by Key Players
3.1 Global Top AI & Machine Learning Operationalization (MLOps) Software Players by Revenue
3.1.1 Global Top AI & Machine Learning Operationalization (MLOps) Software Players by Revenue (2017-2022)
3.1.2 Global AI & Machine Learning Operationalization (MLOps) Software Revenue Market Share by Players (2017-2022)
3.2 Global AI & Machine Learning Operationalization (MLOps) Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI & Machine Learning Operationalization (MLOps) Software Revenue
3.4 Global AI & Machine Learning Operationalization (MLOps) Software Market Concentration Ratio
3.4.1 Global AI & Machine Learning Operationalization (MLOps) Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI & Machine Learning Operationalization (MLOps) Software Revenue in 2021
3.5 AI & Machine Learning Operationalization (MLOps) Software Key Players Head office and Area Served
3.6 Key Players AI & Machine Learning Operationalization (MLOps) Software Product Solution and Service
3.7 Date of Enter into AI & Machine Learning Operationalization (MLOps) Software Market
3.8 Mergers & Acquisitions, Expansion Plans 4 AI & Machine Learning Operationalization (MLOps) Software Breakdown Data by Type
4.1 Global AI & Machine Learning Operationalization (MLOps) Software Historic Market Size by Type (2017-2022)
4.2 Global AI & Machine Learning Operationalization (MLOps) Software Forecasted Market Size by Type (2023-2028) 5 AI & Machine Learning Operationalization (MLOps) Software Breakdown Data by Application
5.1 Global AI & Machine Learning Operationalization (MLOps) Software Historic Market Size by Application (2017-2022)
5.2 Global AI & Machine Learning Operationalization (MLOps) Software Forecasted Market Size by Application (2023-2028) 6 North America
6.1 North America AI & Machine Learning Operationalization (MLOps) Software Market Size (2017-2028)
6.2 North America AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2017-2022)
6.3 North America AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2023-2028)
6.4 United States
6.5 Canada 7 Europe
7.1 Europe AI & Machine Learning Operationalization (MLOps) Software Market Size (2017-2028)
7.2 Europe AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2017-2022)
7.3 Europe AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2023-2028)
7.4 Germany
7.5 France
7.6 U.K.
7.7 Italy
7.8 Russia
7.9 Nordic Countries 8 Asia-Pacific
8.1 Asia-Pacific AI & Machine Learning Operationalization (MLOps) Software Market Size (2017-2028)
8.2 Asia-Pacific AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2017-2022)
8.3 Asia-Pacific AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2023-2028)
8.4 China
8.5 Japan
8.6 South Korea
8.7 Southeast Asia
8.8 India
8.9 Australia 9 Latin America
9.1 Latin America AI & Machine Learning Operationalization (MLOps) Software Market Size (2017-2028)
9.2 Latin America AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2017-2022)
9.3 Latin America AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2023-2028)
9.4 Mexico
9.5 Brazil 10 Middle East & Africa
10.1 Middle East & Africa AI & Machine Learning Operationalization (MLOps) Software Market Size (2017-2028)
10.2 Middle East & Africa AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2017-2022)
10.3 Middle East & Africa AI & Machine Learning Operationalization (MLOps) Software Market Size by Country (2023-2028)
10.4 Turkey
10.5 Saudi Arabia
10.6 UAE 11 Key Players Profiles
11.1 Google
11.1.1 Google Company Detail
11.1.2 Google Business Overview
11.1.3 Google AI & Machine Learning Operationalization (MLOps) Software Introduction
11.1.4 Google Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.1.5 Google Recent Development
11.2 Azure Machine Learning Studio
11.2.1 Azure Machine Learning Studio Company Detail
11.2.2 Azure Machine Learning Studio Business Overview
11.2.3 Azure Machine Learning Studio AI & Machine Learning Operationalization (MLOps) Software Introduction
11.2.4 Azure Machine Learning Studio Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.2.5 Azure Machine Learning Studio Recent Development
11.3 TensorFlow
11.3.1 TensorFlow Company Detail
11.3.2 TensorFlow Business Overview
11.3.3 TensorFlow AI & Machine Learning Operationalization (MLOps) Software Introduction
11.3.4 TensorFlow Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.3.5 TensorFlow Recent Development
11.4 H2O.AI
11.4.1 H2O.AI Company Detail
11.4.2 H2O.AI Business Overview
11.4.3 H2O.AI AI & Machine Learning Operationalization (MLOps) Software Introduction
11.4.4 H2O.AI Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.4.5 H2O.AI Recent Development
11.5 Cortana
11.5.1 Cortana Company Detail
11.5.2 Cortana Business Overview
11.5.3 Cortana AI & Machine Learning Operationalization (MLOps) Software Introduction
11.5.4 Cortana Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.5.5 Cortana Recent Development
11.6 IBM Watson
11.6.1 IBM Watson Company Detail
11.6.2 IBM Watson Business Overview
11.6.3 IBM Watson AI & Machine Learning Operationalization (MLOps) Software Introduction
11.6.4 IBM Watson Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.6.5 IBM Watson Recent Development
11.7 Salesforce Einstein
11.7.1 Salesforce Einstein Company Detail
11.7.2 Salesforce Einstein Business Overview
11.7.3 Salesforce Einstein AI & Machine Learning Operationalization (MLOps) Software Introduction
11.7.4 Salesforce Einstein Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.7.5 Salesforce Einstein Recent Development
11.8 Infosys Nia
11.8.1 Infosys Nia Company Detail
11.8.2 Infosys Nia Business Overview
11.8.3 Infosys Nia AI & Machine Learning Operationalization (MLOps) Software Introduction
11.8.4 Infosys Nia Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.8.5 Infosys Nia Recent Development
11.9 Amazon Alexa
11.9.1 Amazon Alexa Company Detail
11.9.2 Amazon Alexa Business Overview
11.9.3 Amazon Alexa AI & Machine Learning Operationalization (MLOps) Software Introduction
11.9.4 Amazon Alexa Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.9.5 Amazon Alexa Recent Development
11.10 SiQ
11.10.1 SiQ Company Detail
11.10.2 SiQ Business Overview
11.10.3 SiQ AI & Machine Learning Operationalization (MLOps) Software Introduction
11.10.4 SiQ Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.10.5 SiQ Recent Development
11.11 Robin
11.11.1 Robin Company Detail
11.11.2 Robin Business Overview
11.11.3 Robin AI & Machine Learning Operationalization (MLOps) Software Introduction
11.11.4 Robin Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.11.5 Robin Recent Development
11.12 Condeco
11.12.1 Condeco Company Detail
11.12.2 Condeco Business Overview
11.12.3 Condeco AI & Machine Learning Operationalization (MLOps) Software Introduction
11.12.4 Condeco Revenue in AI & Machine Learning Operationalization (MLOps) Software Business (2017-2022)
11.12.5 Condeco Recent Development 12 Analyst's Viewpoints/Conclusions 13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
