Global Machine Learning Operations (MLOps) Market Size, Trends and Opportunties 2022
- Category: Business & Services
- Published Date: Jun 2022
- Publisher: DK Report
- Pages: 120
Due to the COVID-19 pandemic, the global Machine Learning Operations (MLOps) 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 forecast period 2022-2028. Fully considering the economic change by this health crisis, Less Than 95% accounting for % of the Machine Learning Operations (MLOps) global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR from 2022 to 2028. While Fruits and Vegetables segment is altered to an % CAGR throughout this forecast period.
North America Machine Learning Operations (MLOps) market is estimated at US$ million in 2021, while Europe is forecast to reach US$ million by 2028. The proportion of the North America is % in 2021, while Europe percentage is %, and it is predicted that Europe share will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. As for the Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.
Key segments including type and application have been elaborated in this report. The consultants at Intelligence Market Report have studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows production and revenue data by type and application during the historical period (2017-2022) and forecast period (2023-2028).
Segment by Type
On-premise
Cloud
Hybrid
Segment by Application
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and production data of each region and country for the period 2017-2028. This information derived through comprehensive research will help the reader to get familiar with the potential value of the investment in a particular region.
Production by Region
North America
Europe
China
Japan
Consumption by Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
China Taiwan
Indonesia
Thailand
Malaysia
Latin America
Mexico
Brazil
Argentina
Colombia
Competitive Scenario
In this section, the readers will gain an understanding of the key players competing. The experts at Intelligence Market Report have studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, price, and production by manufacturers for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
Microsoft
Amazon
Google
IBM
Dataiku
Lguazio
Databricks
DataRobot, Inc.
Cloudera
Modzy
Algorithmia
HPE
Valohai
Allegro AI
Comet
FloydHub
Paperpace
Cnvrg.io
North America Machine Learning Operations (MLOps) market is estimated at US$ million in 2021, while Europe is forecast to reach US$ million by 2028. The proportion of the North America is % in 2021, while Europe percentage is %, and it is predicted that Europe share will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. As for the Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.
Key segments including type and application have been elaborated in this report. The consultants at Intelligence Market Report have studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows production and revenue data by type and application during the historical period (2017-2022) and forecast period (2023-2028).
Segment by Type
On-premise
Cloud
Hybrid
Segment by Application
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and production data of each region and country for the period 2017-2028. This information derived through comprehensive research will help the reader to get familiar with the potential value of the investment in a particular region.
Production by Region
North America
Europe
China
Japan
Consumption by Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
China Taiwan
Indonesia
Thailand
Malaysia
Latin America
Mexico
Brazil
Argentina
Colombia
Competitive Scenario
In this section, the readers will gain an understanding of the key players competing. The experts at Intelligence Market Report have studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, price, and production by manufacturers for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
Microsoft
Amazon
IBM
Dataiku
Lguazio
Databricks
DataRobot, Inc.
Cloudera
Modzy
Algorithmia
HPE
Valohai
Allegro AI
Comet
FloydHub
Paperpace
Cnvrg.io
1 Machine Learning Operations (MLOps) Market Overview
1.1 Product Overview and Scope of Machine Learning Operations (MLOps)
1.2 Machine Learning Operations (MLOps) Segment by Type
1.2.1 Global Machine Learning Operations (MLOps) Market Size Growth Rate Analysis by Type 2022 VS 2028
1.2.2 Type 1
1.2.3 Type 2
1.3 Machine Learning Operations (MLOps) Segment by Application
1.3.1 Global Machine Learning Operations (MLOps) Consumption Comparison by Application: 2022 VS 2028
1.3.2 Application 1
1.3.3 Application 2
1.3.4 Application 3
1.4 Global Market Growth Prospects
1.4.1 Global Machine Learning Operations (MLOps) Revenue Estimates and Forecasts (2017-2028)
1.4.2 Global Machine Learning Operations (MLOps) Production Capacity Estimates and Forecasts (2017-2028)
1.4.3 Global Machine Learning Operations (MLOps) Production Estimates and Forecasts (2017-2028)
1.5 Global Market Size by Region
1.5.1 Global Machine Learning Operations (MLOps) Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028
1.5.2 North America Machine Learning Operations (MLOps) Estimates and Forecasts (2017-2028)
1.5.3 Europe Machine Learning Operations (MLOps) Estimates and Forecasts (2017-2028)
1.5.4 China Machine Learning Operations (MLOps) Estimates and Forecasts (2017-2028)
1.5.5 Japan Machine Learning Operations (MLOps) Estimates and Forecasts (2017-2028)
2 Market Competition by Manufacturers
2.1 Global Machine Learning Operations (MLOps) Production Capacity Market Share by Manufacturers (2017-2022)
2.2 Global Machine Learning Operations (MLOps) Revenue Market Share by Manufacturers (2017-2022)
2.3 Machine Learning Operations (MLOps) Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Machine Learning Operations (MLOps) Average Price by Manufacturers (2017-2022)
2.5 Manufacturers Machine Learning Operations (MLOps) Production Sites, Area Served, Product Types
2.6 Machine Learning Operations (MLOps) Market Competitive Situation and Trends
2.6.1 Machine Learning Operations (MLOps) Market Concentration Rate
2.6.2 Global 5 and 10 Largest Machine Learning Operations (MLOps) Players Market Share by Revenue
2.6.3 Mergers & Acquisitions, Expansion
3 Production Capacity by Region
3.1 Global Production Capacity of Machine Learning Operations (MLOps) Market Share by Region (2017-2022)
3.2 Global Machine Learning Operations (MLOps) Revenue Market Share by Region (2017-2022)
3.3 Global Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.4 North America Machine Learning Operations (MLOps) Production
3.4.1 North America Machine Learning Operations (MLOps) Production Growth Rate (2017-2022)
3.4.2 North America Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.5 Europe Machine Learning Operations (MLOps) Production
3.5.1 Europe Machine Learning Operations (MLOps) Production Growth Rate (2017-2022)
3.5.2 Europe Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.6 China Machine Learning Operations (MLOps) Production
3.6.1 China Machine Learning Operations (MLOps) Production Growth Rate (2017-2022)
3.6.2 China Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.7 Japan Machine Learning Operations (MLOps) Production
3.7.1 Japan Machine Learning Operations (MLOps) Production Growth Rate (2017-2022)
3.7.2 Japan Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
4 Global Machine Learning Operations (MLOps) Consumption by Region
4.1 Global Machine Learning Operations (MLOps) Consumption by Region
4.1.1 Global Machine Learning Operations (MLOps) Consumption by Region
4.1.2 Global Machine Learning Operations (MLOps) Consumption Market Share by Region
4.2 North America
4.2.1 North America Machine Learning Operations (MLOps) Consumption by Country
4.2.2 United States
4.2.3 Canada
4.3 Europe
4.3.1 Europe Machine Learning Operations (MLOps) Consumption by Country
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Machine Learning Operations (MLOps) Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 China Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Machine Learning Operations (MLOps) Consumption by Country
4.5.2 Mexico
4.5.3 Brazil
5 Segment by Type
5.1 Global Machine Learning Operations (MLOps) Production Market Share by Type (2017-2022)
5.2 Global Machine Learning Operations (MLOps) Revenue Market Share by Type (2017-2022)
5.3 Global Machine Learning Operations (MLOps) Price by Type (2017-2022)
6 Segment by Application
6.1 Global Machine Learning Operations (MLOps) Production Market Share by Application (2017-2022)
6.2 Global Machine Learning Operations (MLOps) Revenue Market Share by Application (2017-2022)
6.3 Global Machine Learning Operations (MLOps) Price by Application (2017-2022)
7 Key Companies Profiled
7.1 Company 1
7.1.1 Company 1 Machine Learning Operations (MLOps) Corporation Information
7.1.2 Company 1 Machine Learning Operations (MLOps) Product Portfolio
7.1.3 Company 1 Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
7.1.4 Company 1 Main Business and Markets Served
7.1.5 Company 1 Recent Developments/Updates
7.2 Company 2
7.3 Company 3
7.4 Company 4
7.5 Company 5
7.6 Others
8 Machine Learning Operations (MLOps) Manufacturing Cost Analysis
8.1 Machine Learning Operations (MLOps) Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Machine Learning Operations (MLOps)
8.4 Machine Learning Operations (MLOps) Industrial Chain Analysis
9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Machine Learning Operations (MLOps) Distributors List
9.3 Machine Learning Operations (MLOps) Customers
10 Market Dynamics
10.1 Machine Learning Operations (MLOps) Industry Trends
10.2 Machine Learning Operations (MLOps) Market Drivers
10.3 Machine Learning Operations (MLOps) Market Challenges
10.4 Machine Learning Operations (MLOps) Market Restraints
11 Production and Supply Forecast
11.1 Global Forecasted Production of Machine Learning Operations (MLOps) by Region (2023-2028)
11.2 North America Machine Learning Operations (MLOps) Production, Revenue Forecast (2023-2028)
11.3 Europe Machine Learning Operations (MLOps) Production, Revenue Forecast (2023-2028)
11.4 China Machine Learning Operations (MLOps) Production, Revenue Forecast (2023-2028)
11.5 Japan Machine Learning Operations (MLOps) Production, Revenue Forecast (2023-2028)
12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Machine Learning Operations (MLOps)
12.2 North America Forecasted Consumption of Machine Learning Operations (MLOps) by Country
12.3 Europe Market Forecasted Consumption of Machine Learning Operations (MLOps) by Country
12.4 Asia Pacific Market Forecasted Consumption of Machine Learning Operations (MLOps) by Region
12.5 Latin America Forecasted Consumption of Machine Learning Operations (MLOps) by Country
13 Forecast by Type and by Application (2023-2028)
13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)
13.1.1 Global Forecasted Production of Machine Learning Operations (MLOps) by Type (2023-2028)
13.1.2 Global Forecasted Revenue of Machine Learning Operations (MLOps) by Type (2023-2028)
13.1.3 Global Forecasted Price of Machine Learning Operations (MLOps) by Type (2023-2028)
13.2 Global Forecasted Consumption of Machine Learning Operations (MLOps) by Application (2023-2028)
13.2.1 Global Forecasted Production of Machine Learning Operations (MLOps) by Application (2023-2028)
13.2.2 Global Forecasted Revenue of Machine Learning Operations (MLOps) by Application (2023-2028)
13.2.3 Global Forecasted Price of Machine Learning Operations (MLOps) by Application (2023-2028)
14 Research Finding and Conclusion
15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer
1.1 Product Overview and Scope of Machine Learning Operations (MLOps)
1.2 Machine Learning Operations (MLOps) Segment by Type
1.2.1 Global Machine Learning Operations (MLOps) Market Size Growth Rate Analysis by Type 2022 VS 2028
1.2.2 Type 1
1.2.3 Type 2
1.3 Machine Learning Operations (MLOps) Segment by Application
1.3.1 Global Machine Learning Operations (MLOps) Consumption Comparison by Application: 2022 VS 2028
1.3.2 Application 1
1.3.3 Application 2
1.3.4 Application 3
1.4 Global Market Growth Prospects
1.4.1 Global Machine Learning Operations (MLOps) Revenue Estimates and Forecasts (2017-2028)
1.4.2 Global Machine Learning Operations (MLOps) Production Capacity Estimates and Forecasts (2017-2028)
1.4.3 Global Machine Learning Operations (MLOps) Production Estimates and Forecasts (2017-2028)
1.5 Global Market Size by Region
1.5.1 Global Machine Learning Operations (MLOps) Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028
1.5.2 North America Machine Learning Operations (MLOps) Estimates and Forecasts (2017-2028)
1.5.3 Europe Machine Learning Operations (MLOps) Estimates and Forecasts (2017-2028)
1.5.4 China Machine Learning Operations (MLOps) Estimates and Forecasts (2017-2028)
1.5.5 Japan Machine Learning Operations (MLOps) Estimates and Forecasts (2017-2028)
2 Market Competition by Manufacturers
2.1 Global Machine Learning Operations (MLOps) Production Capacity Market Share by Manufacturers (2017-2022)
2.2 Global Machine Learning Operations (MLOps) Revenue Market Share by Manufacturers (2017-2022)
2.3 Machine Learning Operations (MLOps) Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Machine Learning Operations (MLOps) Average Price by Manufacturers (2017-2022)
2.5 Manufacturers Machine Learning Operations (MLOps) Production Sites, Area Served, Product Types
2.6 Machine Learning Operations (MLOps) Market Competitive Situation and Trends
2.6.1 Machine Learning Operations (MLOps) Market Concentration Rate
2.6.2 Global 5 and 10 Largest Machine Learning Operations (MLOps) Players Market Share by Revenue
2.6.3 Mergers & Acquisitions, Expansion
3 Production Capacity by Region
3.1 Global Production Capacity of Machine Learning Operations (MLOps) Market Share by Region (2017-2022)
3.2 Global Machine Learning Operations (MLOps) Revenue Market Share by Region (2017-2022)
3.3 Global Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.4 North America Machine Learning Operations (MLOps) Production
3.4.1 North America Machine Learning Operations (MLOps) Production Growth Rate (2017-2022)
3.4.2 North America Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.5 Europe Machine Learning Operations (MLOps) Production
3.5.1 Europe Machine Learning Operations (MLOps) Production Growth Rate (2017-2022)
3.5.2 Europe Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.6 China Machine Learning Operations (MLOps) Production
3.6.1 China Machine Learning Operations (MLOps) Production Growth Rate (2017-2022)
3.6.2 China Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.7 Japan Machine Learning Operations (MLOps) Production
3.7.1 Japan Machine Learning Operations (MLOps) Production Growth Rate (2017-2022)
3.7.2 Japan Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
4 Global Machine Learning Operations (MLOps) Consumption by Region
4.1 Global Machine Learning Operations (MLOps) Consumption by Region
4.1.1 Global Machine Learning Operations (MLOps) Consumption by Region
4.1.2 Global Machine Learning Operations (MLOps) Consumption Market Share by Region
4.2 North America
4.2.1 North America Machine Learning Operations (MLOps) Consumption by Country
4.2.2 United States
4.2.3 Canada
4.3 Europe
4.3.1 Europe Machine Learning Operations (MLOps) Consumption by Country
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Machine Learning Operations (MLOps) Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 China Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Machine Learning Operations (MLOps) Consumption by Country
4.5.2 Mexico
4.5.3 Brazil
5 Segment by Type
5.1 Global Machine Learning Operations (MLOps) Production Market Share by Type (2017-2022)
5.2 Global Machine Learning Operations (MLOps) Revenue Market Share by Type (2017-2022)
5.3 Global Machine Learning Operations (MLOps) Price by Type (2017-2022)
6 Segment by Application
6.1 Global Machine Learning Operations (MLOps) Production Market Share by Application (2017-2022)
6.2 Global Machine Learning Operations (MLOps) Revenue Market Share by Application (2017-2022)
6.3 Global Machine Learning Operations (MLOps) Price by Application (2017-2022)
7 Key Companies Profiled
7.1 Company 1
7.1.1 Company 1 Machine Learning Operations (MLOps) Corporation Information
7.1.2 Company 1 Machine Learning Operations (MLOps) Product Portfolio
7.1.3 Company 1 Machine Learning Operations (MLOps) Production Capacity, Revenue, Price and Gross Margin (2017-2022)
7.1.4 Company 1 Main Business and Markets Served
7.1.5 Company 1 Recent Developments/Updates
7.2 Company 2
7.3 Company 3
7.4 Company 4
7.5 Company 5
7.6 Others
8 Machine Learning Operations (MLOps) Manufacturing Cost Analysis
8.1 Machine Learning Operations (MLOps) Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Machine Learning Operations (MLOps)
8.4 Machine Learning Operations (MLOps) Industrial Chain Analysis
9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Machine Learning Operations (MLOps) Distributors List
9.3 Machine Learning Operations (MLOps) Customers
10 Market Dynamics
10.1 Machine Learning Operations (MLOps) Industry Trends
10.2 Machine Learning Operations (MLOps) Market Drivers
10.3 Machine Learning Operations (MLOps) Market Challenges
10.4 Machine Learning Operations (MLOps) Market Restraints
11 Production and Supply Forecast
11.1 Global Forecasted Production of Machine Learning Operations (MLOps) by Region (2023-2028)
11.2 North America Machine Learning Operations (MLOps) Production, Revenue Forecast (2023-2028)
11.3 Europe Machine Learning Operations (MLOps) Production, Revenue Forecast (2023-2028)
11.4 China Machine Learning Operations (MLOps) Production, Revenue Forecast (2023-2028)
11.5 Japan Machine Learning Operations (MLOps) Production, Revenue Forecast (2023-2028)
12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Machine Learning Operations (MLOps)
12.2 North America Forecasted Consumption of Machine Learning Operations (MLOps) by Country
12.3 Europe Market Forecasted Consumption of Machine Learning Operations (MLOps) by Country
12.4 Asia Pacific Market Forecasted Consumption of Machine Learning Operations (MLOps) by Region
12.5 Latin America Forecasted Consumption of Machine Learning Operations (MLOps) by Country
13 Forecast by Type and by Application (2023-2028)
13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)
13.1.1 Global Forecasted Production of Machine Learning Operations (MLOps) by Type (2023-2028)
13.1.2 Global Forecasted Revenue of Machine Learning Operations (MLOps) by Type (2023-2028)
13.1.3 Global Forecasted Price of Machine Learning Operations (MLOps) by Type (2023-2028)
13.2 Global Forecasted Consumption of Machine Learning Operations (MLOps) by Application (2023-2028)
13.2.1 Global Forecasted Production of Machine Learning Operations (MLOps) by Application (2023-2028)
13.2.2 Global Forecasted Revenue of Machine Learning Operations (MLOps) by Application (2023-2028)
13.2.3 Global Forecasted Price of Machine Learning Operations (MLOps) by Application (2023-2028)
14 Research Finding and Conclusion
15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer
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