MLOps Technology - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511243726

Publication Date:

November 21, 2024

Pages:

132

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

MLOps is the process of taking an experimental Machine Learning model into a production system. The word is a compound of 鈥淢achine Learning鈥� and the continuous development practice of DevOps in the software field. Machine Learning models are tested and developed in isolated experimental systems. When an algorithm is ready to be launched, MLOps is practiced between Data Scientists, DevOps, and Machine Learning engineers to transition the algorithm to production systems. Similar to DevOps or DataOps approaches, MLOps seeks to increase automation and improve the quality of production models, while also focusing on business and regulatory requirements. While MLOps started as a set of best practices, it is slowly evolving into an independent approach to ML lifecycle management. MLOps applies to the entire lifecycle - from integrating with model generation (software development lifecycle, continuous integration/continuous delivery), orchestration, and deployment, to health, diagnostics, governance, and business metrics.
The global market for MLOps Technology was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for MLOps Technology was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for MLOps Technology was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for MLOps Technology was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of MLOps Technology include Microsoft, Amazon, Google, IBM, Dataiku, Lguazio, Databricks, DataRobot, Inc. and Cloudera, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for MLOps Technology, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of MLOps Technology by region & country, by Type, and by Application.
The MLOps Technology market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding MLOps Technology.
麻豆原创 Segmentation
By Company
Microsoft
Amazon
Google
IBM
Dataiku
Lguazio
Databricks
DataRobot, Inc.
Cloudera
Modzy
Algorithmia
HPE
Valohai
Allegro AI
Comet
FloydHub
Paperpace
Cnvrg.io
Segment by Type:
On-premise
Cloud
Hybrid
Segment by Application
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Colombia
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of MLOps Technology manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of MLOps Technology in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of MLOps Technology in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 MLOps Technology Product Introduction
1.2 Global MLOps Technology 麻豆原创 Size Forecast
1.3 MLOps Technology 麻豆原创 Trends & Drivers
1.3.1 MLOps Technology Industry Trends
1.3.2 MLOps Technology 麻豆原创 Drivers & Opportunity
1.3.3 MLOps Technology 麻豆原创 Challenges
1.3.4 MLOps Technology 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global MLOps Technology Players Revenue Ranking (2023)
2.2 Global MLOps Technology Revenue by Company (2019-2024)
2.3 Key Companies MLOps Technology Manufacturing Base Distribution and Headquarters
2.4 Key Companies MLOps Technology Product Offered
2.5 Key Companies Time to Begin Mass Production of MLOps Technology
2.6 MLOps Technology 麻豆原创 Competitive Analysis
2.6.1 MLOps Technology 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by MLOps Technology Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in MLOps Technology as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 On-premise
3.1.2 Cloud
3.1.3 Hybrid
3.2 Global MLOps Technology Sales Value by Type
3.2.1 Global MLOps Technology Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global MLOps Technology Sales Value, by Type (2019-2030)
3.2.3 Global MLOps Technology Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 BFSI
4.1.2 Healthcare
4.1.3 Retail
4.1.4 Manufacturing
4.1.5 Public Sector
4.1.6 Others
4.2 Global MLOps Technology Sales Value by Application
4.2.1 Global MLOps Technology Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global MLOps Technology Sales Value, by Application (2019-2030)
4.2.3 Global MLOps Technology Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global MLOps Technology Sales Value by Region
5.1.1 Global MLOps Technology Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global MLOps Technology Sales Value by Region (2019-2024)
5.1.3 Global MLOps Technology Sales Value by Region (2025-2030)
5.1.4 Global MLOps Technology Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America MLOps Technology Sales Value, 2019-2030
5.2.2 North America MLOps Technology Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe MLOps Technology Sales Value, 2019-2030
5.3.2 Europe MLOps Technology Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific MLOps Technology Sales Value, 2019-2030
5.4.2 Asia Pacific MLOps Technology Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America MLOps Technology Sales Value, 2019-2030
5.5.2 South America MLOps Technology Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa MLOps Technology Sales Value, 2019-2030
5.6.2 Middle East & Africa MLOps Technology Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions MLOps Technology Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions MLOps Technology Sales Value
6.3 United States
6.3.1 United States MLOps Technology Sales Value, 2019-2030
6.3.2 United States MLOps Technology Sales Value by Type (%), 2023 VS 2030
6.3.3 United States MLOps Technology Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe MLOps Technology Sales Value, 2019-2030
6.4.2 Europe MLOps Technology Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe MLOps Technology Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China MLOps Technology Sales Value, 2019-2030
6.5.2 China MLOps Technology Sales Value by Type (%), 2023 VS 2030
6.5.3 China MLOps Technology Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan MLOps Technology Sales Value, 2019-2030
6.6.2 Japan MLOps Technology Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan MLOps Technology Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea MLOps Technology Sales Value, 2019-2030
6.7.2 South Korea MLOps Technology Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea MLOps Technology Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia MLOps Technology Sales Value, 2019-2030
6.8.2 Southeast Asia MLOps Technology Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia MLOps Technology Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India MLOps Technology Sales Value, 2019-2030
6.9.2 India MLOps Technology Sales Value by Type (%), 2023 VS 2030
6.9.3 India MLOps Technology Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Microsoft
7.1.1 Microsoft Profile
7.1.2 Microsoft Main Business
7.1.3 Microsoft MLOps Technology Products, Services and Solutions
7.1.4 Microsoft MLOps Technology Revenue (US$ Million) & (2019-2024)
7.1.5 Microsoft Recent Developments
7.2 Amazon
7.2.1 Amazon Profile
7.2.2 Amazon Main Business
7.2.3 Amazon MLOps Technology Products, Services and Solutions
7.2.4 Amazon MLOps Technology Revenue (US$ Million) & (2019-2024)
7.2.5 Amazon Recent Developments
7.3 Google
7.3.1 Google Profile
7.3.2 Google Main Business
7.3.3 Google MLOps Technology Products, Services and Solutions
7.3.4 Google MLOps Technology Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Recent Developments
7.4 IBM
7.4.1 IBM Profile
7.4.2 IBM Main Business
7.4.3 IBM MLOps Technology Products, Services and Solutions
7.4.4 IBM MLOps Technology Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Recent Developments
7.5 Dataiku
7.5.1 Dataiku Profile
7.5.2 Dataiku Main Business
7.5.3 Dataiku MLOps Technology Products, Services and Solutions
7.5.4 Dataiku MLOps Technology Revenue (US$ Million) & (2019-2024)
7.5.5 Dataiku Recent Developments
7.6 Lguazio
7.6.1 Lguazio Profile
7.6.2 Lguazio Main Business
7.6.3 Lguazio MLOps Technology Products, Services and Solutions
7.6.4 Lguazio MLOps Technology Revenue (US$ Million) & (2019-2024)
7.6.5 Lguazio Recent Developments
7.7 Databricks
7.7.1 Databricks Profile
7.7.2 Databricks Main Business
7.7.3 Databricks MLOps Technology Products, Services and Solutions
7.7.4 Databricks MLOps Technology Revenue (US$ Million) & (2019-2024)
7.7.5 Databricks Recent Developments
7.8 DataRobot, Inc.
7.8.1 DataRobot, Inc. Profile
7.8.2 DataRobot, Inc. Main Business
7.8.3 DataRobot, Inc. MLOps Technology Products, Services and Solutions
7.8.4 DataRobot, Inc. MLOps Technology Revenue (US$ Million) & (2019-2024)
7.8.5 DataRobot, Inc. Recent Developments
7.9 Cloudera
7.9.1 Cloudera Profile
7.9.2 Cloudera Main Business
7.9.3 Cloudera MLOps Technology Products, Services and Solutions
7.9.4 Cloudera MLOps Technology Revenue (US$ Million) & (2019-2024)
7.9.5 Cloudera Recent Developments
7.10 Modzy
7.10.1 Modzy Profile
7.10.2 Modzy Main Business
7.10.3 Modzy MLOps Technology Products, Services and Solutions
7.10.4 Modzy MLOps Technology Revenue (US$ Million) & (2019-2024)
7.10.5 Modzy Recent Developments
7.11 Algorithmia
7.11.1 Algorithmia Profile
7.11.2 Algorithmia Main Business
7.11.3 Algorithmia MLOps Technology Products, Services and Solutions
7.11.4 Algorithmia MLOps Technology Revenue (US$ Million) & (2019-2024)
7.11.5 Algorithmia Recent Developments
7.12 HPE
7.12.1 HPE Profile
7.12.2 HPE Main Business
7.12.3 HPE MLOps Technology Products, Services and Solutions
7.12.4 HPE MLOps Technology Revenue (US$ Million) & (2019-2024)
7.12.5 HPE Recent Developments
7.13 Valohai
7.13.1 Valohai Profile
7.13.2 Valohai Main Business
7.13.3 Valohai MLOps Technology Products, Services and Solutions
7.13.4 Valohai MLOps Technology Revenue (US$ Million) & (2019-2024)
7.13.5 Valohai Recent Developments
7.14 Allegro AI
7.14.1 Allegro AI Profile
7.14.2 Allegro AI Main Business
7.14.3 Allegro AI MLOps Technology Products, Services and Solutions
7.14.4 Allegro AI MLOps Technology Revenue (US$ Million) & (2019-2024)
7.14.5 Allegro AI Recent Developments
7.15 Comet
7.15.1 Comet Profile
7.15.2 Comet Main Business
7.15.3 Comet MLOps Technology Products, Services and Solutions
7.15.4 Comet MLOps Technology Revenue (US$ Million) & (2019-2024)
7.15.5 Comet Recent Developments
7.16 FloydHub
7.16.1 FloydHub Profile
7.16.2 FloydHub Main Business
7.16.3 FloydHub MLOps Technology Products, Services and Solutions
7.16.4 FloydHub MLOps Technology Revenue (US$ Million) & (2019-2024)
7.16.5 FloydHub Recent Developments
7.17 Paperpace
7.17.1 Paperpace Profile
7.17.2 Paperpace Main Business
7.17.3 Paperpace MLOps Technology Products, Services and Solutions
7.17.4 Paperpace MLOps Technology Revenue (US$ Million) & (2019-2024)
7.17.5 Paperpace Recent Developments
7.18 Cnvrg.io
7.18.1 Cnvrg.io Profile
7.18.2 Cnvrg.io Main Business
7.18.3 Cnvrg.io MLOps Technology Products, Services and Solutions
7.18.4 Cnvrg.io MLOps Technology Revenue (US$ Million) & (2019-2024)
7.18.5 Cnvrg.io Recent Developments
8 Industry Chain Analysis
8.1 MLOps Technology Industrial Chain
8.2 MLOps Technology Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 MLOps Technology Sales Model
8.5.2 Sales Channel
8.5.3 MLOps Technology Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Microsoft
Amazon
Google
IBM
Dataiku
Lguazio
Databricks
DataRobot, Inc.
Cloudera
Modzy
Algorithmia
HPE
Valohai
Allegro AI
Comet
FloydHub
Paperpace
Cnvrg.io

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