Global Machine Learning Operations (MLOps) Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast Till 2027

  • ID:PD024138
  • September 2021
  • Value Market Research
                          

The detailed market study on Global Machine Learning Operations (MLOps) Market with segmentation By product Type, On-premise, Cloud, Hybrid) and by application (BFSI, Healthcare, Retail, Manufacturing, Public Sector, Others) gives a complete market analysis for the forecasted period from 2022 to 2027. The machine learning operations (mlops) market is expected to grow at a CAGR of XX% for the study period. The market size in terms of revenue is estimated and forecasted for the study period along with the industry trends based on the historic and socio-economic factors. The key market players such as Microsoft, Amazon, Google, IBM, Dataiku, Lguazio, Databricks, DataRobot,  Inc., Cloudera, Modzy, Algorithmia, HPE, Valohai, Allegro AI, Comet, FloydHub, Paperpace, Cnvrg.io among others were studied through primary and secondary research to collect data.

Furthermore, the report quantifies the market share held by the major players of the industry and provides an in-depth view of the competitive landscape. This market is classified into different segments with detailed analysis of each with respect to geography for the study period:

  • Base Year: 2020
  • Estimated Year: 2021
  • Forecast Years: 2022 to 2027

The comprehensive value chain analysis of the market will assist in attaining better product differentiation, along with detailed understanding of the core competency of each activity involved. The market attractiveness analysis provided in the report aptly measures the potential value of the market providing business strategists with the latest growth opportunities. 

The report classifies the market into different segments. These segments are studied in detail incorporating the market estimates and forecasts at regional and country level. The segment analysis is useful in understanding the growth areas and probable opportunities of the market.

The report also covers the complete competitive landscape of the global Machine Learning Operations (MLOps) market with company profiles of key players such as: 
  • Microsoft
  • Amazon
  • Google
  • IBM
  • Dataiku
  • Lguazio
  • Databricks
  • DataRobot, Inc.
  • Cloudera
  • Modzy
  • Algorithmia
  • HPE
  • Valohai
  • Allegro AI
  • Comet
  • FloydHub
  • Paperpace
  • Cnvrg.io

The detailed description of each has been included, with information in terms of H.Q, future capacities, key mergers & acquisitions, financial overview, partnerships, collaborations, new product launches, new product developments and other latest industrial developments.

SEGMENTATIONS IN THE REPORT: 

By product Type
  • On-premise
  • Cloud
  • Hybrid

By Application 
  • BFSI
  • Healthcare
  • Retail
  • Manufacturing
  • Public Sector
  • Others

By Geography:
  • North America (NA) - US, Canada, and Mexico
  • Europe (EU) - UK, Germany, France, Italy, Russia, Spain & Rest of Europe
  • Asia-Pacific (APAC) - China, India, Japan, South Korea, Australia & Rest of APAC
  • Latin America (LA) - Brazil, Argentina, Peru, Chile & Rest of Latin America
  • Middle East and Africa (MEA) - Saudi Arabia, UAE, Israel, South Africa

The Global Machine Learning Operations (MLOps) Market has been exhibited in detail in the following chapters -
Chapter 1 Machine Learning Operations (MLOps) Market Preface 
Chapter 2 Executive Summary
Chapter 3 Machine Learning Operations (MLOps) Industry Analysis
Chapter 4 Machine Learning Operations (MLOps) Market Value Chain Analysis
Chapter 5 Machine Learning Operations (MLOps) Market Analysis By Product Type
Chapter 6 Machine Learning Operations (MLOps) Market Analysis By Application
Chapter 7 Machine Learning Operations (MLOps) Market Analysis By Geography
Chapter 8 Competitive Landscape Of Machine Learning Operations (MLOps) Companies
Chapter 9 Company Profiles Of Machine Learning Operations (MLOps) Industry

TABLE OF CONTENTS
 
1 . PREFACE
       1.1. Report Description
           1.1.1. Objective
           1.1.2. Target Audience
           1.1.3. Unique Selling Proposition (USP) & offerings
       1.2. Research Scope
       1.3. Research Methodology
           1.3.1. Market Research Process
           1.3.2. Market Research Methodology
 
2 . EXECUTIVE SUMMARY
       2.1. Highlights of Market
       2.2. Global Market Snapshot
 
3 . MACHINE LEARNING OPERATIONS (MLOPS) – INDUSTRY ANALYSIS
       3.1. Introduction - Market Dynamics
       3.2. Market Drivers
       3.3. Market Restraints
       3.4. Opportunities
       3.5. Industry Trends
       3.6. Porter’s Five Force Analysis
       3.7. Market Attractiveness Analysis
           3.7.1  By Product Type
           3.7.2  By Application
           3.7.3 By Region
 
4 . VALUE CHAIN ANALYSIS
       4.1. Value Chain Analysis
       4.2. Raw Material Analysis
           4.2.1. List of Raw Materials
           4.2.2. Raw Material Manufactures List
           4.2.3. Price Trend of Key Raw Materials
       4.3. List of Potential Buyers
       4.4. Marketing Channel
           4.4.1. Direct Marketing
           4.4.2. Indirect Marketing
           4.4.3. Marketing Channel Development Trend
 
5 IMPACT ANALYSIS OF COVID-19 OUTBREAK
       5.1. Impact Analysis of Covid-19 Outbreak
           5.1.1. Direct Impact on Production
           5.1.2. Supply Chain and Market Disruption
           5.1.3. Financial Impact on Firms and Financial Markets
       5.2. COVID-19 Impact Analysis by Production, Import, Export and Demand
       5.3. Market: Pre V/S Post COVID-19
       5.4. Estimated Impact of the Coronavirus (COVID-19) Epidemic
       5.5. COVID-19: Micro and Macro Factor Analysis
 
6 . GLOBAL MACHINE LEARNING OPERATIONS (MLOPS) MARKET ANALYSIS  BY PRODUCT TYPE
       6.1 Overview  By Product Type
       6.2 Historical and Forecast Data
       6.3 Analysis  By Product Type
       6.4 On-premise Market by Regions
       6.5 Cloud Market by Regions
       6.6 Hybrid Market by Regions
 
7 . GLOBAL MACHINE LEARNING OPERATIONS (MLOPS) MARKET ANALYSIS  BY APPLICATION
       7.1 Overview  By Application
       7.2 Historical and Forecast Data
       7.3 Analysis  By Application
       7.4 BFSI Market by Regions
       7.5 Healthcare Market by Regions
       7.6 Retail Market by Regions
       7.7 Manufacturing Market by Regions
       7.8 Public Sector Market by Regions
       7.9 Others Market by Regions
 
8 . GLOBAL MACHINE LEARNING OPERATIONS (MLOPS) MARKET ANALYSIS BY GEOGRAPHY
       8.1. Regional Outlook
       8.2. Introduction
       8.3. North America
           8.3.1. Overview, Historic and Forecast Data
           8.3.2. North America By Segment
           8.3.3. North America By Country
           8.3.4. United State
           8.3.5. Canada
           8.3.6. Mexico
       8.4. Europe
           8.4.1. Overview, Historic and Forecast Data
           8.4.2. Europe by Segment
           8.4.3. Europe by Country
           8.4.4. United Kingdom
           8.4.5. France
           8.4.6. Germany
           8.4.7. Italy
           8.4.8. Russia
           8.4.9. Rest Of Europe
       8.5. Asia Pacific
           8.5.1. Overview, Historic and Forecast Data
           8.5.2. Asia Pacific by Segment
           8.5.3. Asia Pacific by Country
           8.5.4. China
           8.5.5. India
           8.5.6. Japan
           8.5.7. South Korea
           8.5.8. Australia
           8.5.9. Rest Of Asia Pacific
       8.6. Latin America
           8.6.1. Overview, Historic and Forecast Data
           8.6.2. Latin America by Segment
           8.6.3. Latin America by Country
           8.6.4. Brazil
           8.6.5. Argentina
           8.6.6. Peru
           8.6.7. Chile
           8.6.8. Rest of Latin America
       8.7. Middle East & Africa
           8.7.1. Overview, Historic and Forecast Data
           8.7.2. Middle East & Africa by Segment
           8.7.3. Middle East & Africa by Country
           8.7.4. Saudi Arabia
           8.7.5. UAE
           8.7.6. Israel
           8.7.7. South Africa
           8.7.8. Rest Of Middle East And Africa
 
9 . COMPETITIVE LANDSCAPE OF THE MACHINE LEARNING OPERATIONS (MLOPS) COMPANIES
       9.1. Machine learning operations (MLOps) Market Competition
       9.2. Partnership/Collaboration/Agreement
       9.3. Merger And Acquisitions
       9.4. New Product Launch
       9.5. Other Developments
 
10 . COMPANY PROFILES OF MACHINE LEARNING OPERATIONS (MLOPS) INDUSTRY
       10.1. Company Share Analysis
       10.2. Market Concentration Rate
       10.3. MICROSOFT
           10.3.1. Company Overview
           10.3.2. Financials
           10.3.3. Products
           10.3.4. Recent Developments
       10.4. AMAZON
           10.4.1. Company Overview
           10.4.2. Financials
           10.4.3. Products
           10.4.4. Recent Developments
       10.5. GOOGLE
           10.5.1. Company Overview
           10.5.2. Financials
           10.5.3. Products
           10.5.4. Recent Developments
       10.6. IBM
           10.6.1. Company Overview
           10.6.2. Financials
           10.6.3. Products
           10.6.4. Recent Developments
       10.7. DATAIKU
           10.7.1. Company Overview
           10.7.2. Financials
           10.7.3. Products
           10.7.4. Recent Developments
       10.8. LGUAZIO
           10.8.1. Company Overview
           10.8.2. Financials
           10.8.3. Products
           10.8.4. Recent Developments
       10.9. DATABRICKS
           10.9.1. Company Overview
           10.9.2. Financials
           10.9.3. Products
           10.9.4. Recent Developments
       10.10. DATAROBOT INC.
           10.10.1. Company Overview
           10.10.2. Financials
           10.10.3. Products
           10.10.4. Recent Developments
       10.11.  CLOUDERA
           10.11.1. Company Overview
           10.11.2. Financials
           10.11.3. Products
           10.11.4. Recent Developments
       10.12. MODZY
           10.12.1. Company Overview
           10.12.2. Financials
           10.12.3. Products
           10.12.4. Recent Developments
       10.13. ALGORITHMIA          
           10.13.1. Company Overview
           10.13.2. Financials
           10.13.3. Products
           10.13.4. Recent Developments
       10.14. HPE
           10.14.1. Company Overview
           10.14.2. Financials
           10.14.3. Products
           10.14.4. Recent Developments
       10.15. VALOHAI
           10.15.1. Company Overview
           10.15.2. Financials
           10.15.3. Products
           10.15.4. Recent Developments
       10.16. ALLEGRO AI
           10.16.1. Company Overview
           10.16.2. Financials
           10.16.3. Products
           10.16.4. Recent Developments
       10.17. COMET
           10.17.1. Company Overview
           10.17.2. Financials
           10.17.3. Products
           10.17.4. Recent Developments
       10.18. FLOYDHUB
           10.18.1. Company Overview
           10.18.2. Financials
           10.18.3. Products
           10.18.4. Recent Developments
       10.19. PAPERPACE
           10.19.1. Company Overview
           10.19.2. Financials
           10.19.3. Products
           10.19.4. Recent Developments
       10.20. CNVRG.IO
           10.20.1. Company Overview
           10.20.2. Financials
           10.20.3. Products
           10.20.4. Recent Developments
 
 *Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies
 
 LIST OF TABLES
 

  • Market Snapshot
  • Drivers : Impact Analysis
  • Restraints : Impact Analysis
  • List of Raw Material
  • List of Raw Material Manufactures
  • List of Potential Buyers
  • COVID-19 Impact Analysis by Production, Import, Export and Demand
  • Pre V/S Post COVID-19
  • Estimated Impact Of The Coronavirus (Covid-19) Epidemic
  • COVID-19: Micro and Macro Factor Analysis
  • Analysis  By Product Type (Kilo Tons and USD MN)
  • On-premise Market by Geography (Kilo Tons and USD MN)
  • Cloud Market by Geography (Kilo Tons and USD MN)
  • Hybrid Market by Geography (Kilo Tons and USD MN)
  • Analysis Market  By Application (Kilo Tons and USD MN)
  • BFSI Market by Geography (Kilo Tons and USD MN)
  • Healthcare Market by Geography (Kilo Tons and USD MN)
  • Retail Market by Geography (Kilo Tons and USD MN)
  • Manufacturing Market by Geography (Kilo Tons and USD MN)
  • Public Sector Market by Geography (Kilo Tons and USD MN)
  • Others Market by Geography (Kilo Tons and USD MN)
  • Global Machine learning operations (MLOps) Market by Geography (Kilo Tons and USD MN)
  • North America Market Analysis (Kilo Tons and USD MN)
  • United State Market Analysis (Kilo Tons and USD MN)
  • Canada Market Analysis (Kilo Tons and USD MN)
  • Mexico Market Analysis (Kilo Tons and USD MN)
  • Europe Market Analysis (Kilo Tons and USD MN)
  • Europe Market Estimate by Country (Kilo Tons and USD MN)
  • United Kingdom Market Analysis (Kilo Tons and USD MN)
  • France Market Analysis (Kilo Tons and USD MN)
  • Germany Market Analysis (Kilo Tons and USD MN)
  • Italy Market Analysis (Kilo Tons and USD MN)
  • Russia Market Analysis (Kilo Tons and USD MN)
  • Spain Market Analysis (Kilo Tons and USD MN)
  • Rest of Europe Market Analysis (Kilo Tons and USD MN)
  • Asia Pacific Market Analysis (Kilo Tons and USD MN)
  • China Market Analysis (Kilo Tons and USD MN)
  • Japan Market Analysis (Kilo Tons and USD MN)
  • India Market Analysis (Kilo Tons and USD MN)
  • South Korea Market Analysis (Kilo Tons and USD MN)
  • Australia Market Analysis (Kilo Tons and USD MN)
  • Rest of Asia Pacific Market Analysis (Kilo Tons and USD MN)
  • Latin America Market Analysis (Kilo Tons and USD MN)
  • Brazil Market Analysis (Kilo Tons and USD MN)
  • Argentina Market Analysis (Kilo Tons and USD MN)
  • Peru Market Analysis (Kilo Tons and USD MN)
  • Chile Market Analysis (Kilo Tons and USD MN)
  • Rest of Latin America Market Analysis (Kilo Tons and USD MN)
  • Middle East & Africa Market Analysis (Kilo Tons and USD MN)
  • Saudi Arabia Market Analysis (Kilo Tons and USD MN)
  • UAE Market Analysis (Kilo Tons and USD MN)
  • Israel Market Analysis (Kilo Tons and USD MN)
  • South Africa Market Analysis (Kilo Tons and USD MN)
  • Rest of Middle East and Africa Market Analysis (Kilo Tons and USD MN)
  • Partnership/Collaboration/Agreement
  • Mergers And Acquisition
 
 LIST OF FIGURES
 
  • Research Scope of Machine learning operations (MLOps) Report
  • Market Research Process
  • Market Research Methodology
  • Global Machine learning operations (MLOps) Market Size, by Region (Kilo Tons and USD MN)
  • Porters Five Forces Analysis
  • Market Attractiveness Analysis  By Product Type
  • Market Attractiveness Analysis  By Application
  • Market Attractiveness Analysis by Region
  • Value Chain Analysis
  • Global Market Analysis  By Product Type (Kilo Tons and USD MN)
  • On-premise Market by Geography (Kilo Tons and USD MN)
  • Cloud Market by Geography (Kilo Tons and USD MN)
  • Hybrid Market by Geography (Kilo Tons and USD MN)
  • Global Market Analysis  By Application (Kilo Tons and USD MN)
  • BFSI Market by Geography (Kilo Tons and USD MN)
  • Healthcare Market by Geography (Kilo Tons and USD MN)
  • Retail Market by Geography (Kilo Tons and USD MN)
  • Manufacturing Market by Geography (Kilo Tons and USD MN)
  • Public Sector Market by Geography (Kilo Tons and USD MN)
  • Others Market by Geography (Kilo Tons and USD MN)
  • Global Market by Revenue
  • North America Market by Revenue
  • Europe Market by Revenue
  • Asia Pacific Market by Revenue
  • Latin America Market by Revenue
  • Middle East & Africa Market by Revenue
  • Recent Development in Industry
  • Company Market Share Analysis, 2020
 
 
Kindly note that the above list covers the basic tables and figures of the report and are not limited to the TOC.

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