Machine Learning Model Operationalization Management (MLOPS) Global Market Report 2024

Description

Machine Learning Model Operationalization Management (MLOps) is the process of preparing and deploying machine learning models in a production environment. This encompasses the integration of machine learning models into business applications, analytical platforms, and other systems to ensure their effective and efficient operation in real-world scenarios. MLOps focuses on streamlining the workflow from model development to deployment, monitoring, and maintenance, ensuring that machine learning models are seamlessly integrated into the operational aspects of a business.

The primary components in Machine Learning Model Operationalization Management (MLOps) are platforms and services. A platform in this context refers to a software environment that offers a set of tools and services to oversee the complete lifecycle of machine learning models. This encompasses both on-premises and cloud deployments, catering to organizations of varying sizes, including large enterprises and small to medium-sized enterprises. End-users of MLOps platforms span across diverse sectors such as banking, financial services, and insurance, retail and e-commerce, government and defense, health and life sciences, manufacturing, telecom, IT and ITeS, energy and utilities, transportation and logistics, and others.

The machine learning model operationalization management (MLOPS) market research report is one of a series of new reports from The Business Research Company that provides machine learning model operationalization management (MLOPS) market statistics, including machine learning model operationalization management (MLOPS) industry global market size, regional shares, competitors with a machine learning model operationalization management (MLOPS) market share, detailed machine learning model operationalization management (MLOPS) market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning model operationalization management (MLOPS) industry. This machine learning model operationalization management (MLOPS) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The machine learning model operationalization management (mlops) market size has grown exponentially in recent years. It will grow from $1.83 billion in 2023 to $2.65 billion in 2024 at a compound annual growth rate (CAGR) of 44.9%. The growth observed in the historic period can be attributed to several factors, including the proliferation of machine learning models, the escalating complexity of ML models, the surge in data volumes, a growing demand for automation, and the rise of cloud computing. These trends collectively contributed to the development and adoption of Machine Learning Model Operationalization Management (MLOps) during that period.

The machine learning model operationalization management (mlops) market size is expected to see exponential growth in the next few years. It will grow to $11.56 billion in 2028 at a compound annual growth rate (CAGR) of 44.6%. The anticipated growth in the forecast period can be attributed to several factors, including advancements in model explainability, integration with AI governance practices, a greater adoption of model versioning, a focus on cost optimization, and increased industry-specific solutions. Major trends expected in the forecast period encompass advancements in technology, product innovations, initiatives in cloud security, and developments in web applications. These trends collectively contribute to the evolving landscape of Machine Learning Model Operationalization Management (MLOps).

The growth of the machine learning model operationalization management (MLOps) market is anticipated to be fueled by the increasing adoption of artificial intelligence (AI) technology. AI involves the development of computer systems or software capable of performing tasks that typically require human intelligence. MLOps utilizes AI technology to ensure the effective deployment, management, and monitoring of machine learning models in production environments, thereby enhancing the end-to-end lifecycle of machine learning (ML) models. According to a May 2022 report from International Business Machines Corporation (IBM), the global adoption rate of AI has significantly increased to 35%, marking a four-point rise from the previous year. In 2022, it is projected that 13% more firms will have employed AI compared to 2021. With 35% of organizations having already adopted AI, 42% considering AI adoption, and two-thirds of companies (66%) either executing or planning to utilize AI for sustainability goals, the upsurge in AI adoption is identified as a driving force behind the MLOps market's growth.

The proliferation of AI technology is set to propel the expansion of the machine learning model operationalization management (MLOps) market. Artificial intelligence (AI) involves the development of computer systems or software capable of performing tasks traditionally requiring human intelligence. MLOps leverages AI technology to ensure the efficient deployment, management, and monitoring of machine learning models in production environments, contributing to the comprehensive lifecycle enhancement of machine learning (ML) models. As per a May 2022 report by International Business Machines Corporation (IBM), the global adoption rate of AI has notably risen to 35%, marking a four-point increase from the preceding year. Furthermore, 2022 is projected to witness a 13% growth in firms using AI compared to 2021. With 35% of organizations already embracing AI, 42% contemplating AI adoption, and two-thirds of companies (66%) either implementing or planning to leverage AI for sustainability goals, the surge in AI adoption is identified as a pivotal factor propelling the growth of the MLOps market.

In July 2022, DataRobot Inc., a US-based technology company and platform innovator, executed a strategic acquisition by acquiring Algorithmia, Inc., for $6.3 billion. This strategic move aims to augment DataRobot's machine learning operations (MLOps) infrastructure, complementing its robust offerings in DataOps and other segments. The acquisition is strategically positioned to provide enterprises with an end-to-end machine learning production system. Algorithmia Inc., based in the US, specializes in empowering developers to convert algorithms into scalable web services, aligning seamlessly with DataRobot's commitment to advancing machine learning capabilities and operations.

Major companies operating in the machine learning model operationalization management (mlops) market report are Google LLC, Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Development LP, SAS Institute Inc., Informatica Corporation, Cloudera Inc., Databricks Inc, TIBCO Software Inc., Alteryx Inc., DataRobot Inc, Dataiku Inc., Domino Data Lab Inc, Neptune Labs, H2O.ai, RapidMiner, Tecton Inc, Data Science Dojo, ModelOp Inc, Aible, Inc, Algorithmia, Inc, KNIME AG

North America was the largest region in the machine learning model operationalization management (MLOPS) market in 2023. The regions covered in the machine learning model operationalization management (mlops) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning model operationalization management (MLOPS) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The machine learning model operationalization management (MLOPS) market consists of revenues earned by entities by providing services such as model development and training, scalability, resource management, data management, model deployment, model serving, and data management. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning model operationalization management (MLOPS) market also includes sales of version control, git, bitbucket, orchestration tools, and logging and tracing. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Machine Learning Model Operationalization Management (MLOPS) Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning model operationalization management (mlops) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for machine learning model operationalization management (mlops) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning model operationalization management (mlops) market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

1) By Component: Platform; Services
2) By Deployment: On-Premises; Cloud
3) By Organization Size: Large Enterprises; Small And Medium-Sized Enterprises
4) By Vertical: Banking, Financial Services, And Insurance; Retail And Ecommerce; Government And Defense; Health And Life Sciences; Manufacturing; Telecom; IT And ITeS; Energy And Utilities; Transportation And Logistics; Other Verticals
Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; IBM Corporation; Oracle Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r16490

1. Executive Summary

2. Machine Learning Model Operationalization Management (MLOPS) Market Characteristics

3. Machine Learning Model Operationalization Management (MLOPS) Market Trends And Strategies

4. Machine Learning Model Operationalization Management (MLOPS) Market - Macro Economic Scenario

4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market

5. Global Machine Learning Model Operationalization Management (MLOPS) Market Size and Growth

5.1. Global Machine Learning Model Operationalization Management (MLOPS) Market Drivers and Restraints
- 5.1.1. Drivers Of The Market
- 5.1.2. Restraints Of The Market
5.2. Global Machine Learning Model Operationalization Management (MLOPS) Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global Machine Learning Model Operationalization Management (MLOPS) Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Machine Learning Model Operationalization Management (MLOPS) Market Segmentation

6.1. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Platform
Services
6.2. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
On-Premises
Cloud
6.3. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Large Enterprises
Small And Medium-Sized Enterprises
6.4. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Banking Financial Services, And Insurance
Retail And Ecommerce
Government And Defense
Health And Life Sciences
Manufacturing
Telecom
IT And ITeS
Energy And Utilities
Transportation And Logistics
Other Verticals

7. Machine Learning Model Operationalization Management (MLOPS) Market Regional And Country Analysis

7.1. Global Machine Learning Model Operationalization Management (MLOPS) Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Machine Learning Model Operationalization Management (MLOPS) Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market

8.1. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market Overview
Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Machine Learning Model Operationalization Management (MLOPS) Market

9.1. China Machine Learning Model Operationalization Management (MLOPS) Market Overview
9.2. China Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Machine Learning Model Operationalization Management (MLOPS) Market

10.1. India Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Machine Learning Model Operationalization Management (MLOPS) Market

11.1. Japan Machine Learning Model Operationalization Management (MLOPS) Market Overview
11.2. Japan Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.4. Japan Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Machine Learning Model Operationalization Management (MLOPS) Market

12.1. Australia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market

13.1. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Machine Learning Model Operationalization Management (MLOPS) Market

14.1. South Korea Machine Learning Model Operationalization Management (MLOPS) Market Overview
14.2. South Korea Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.4. South Korea Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market

15.1. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market Overview
15.2. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Machine Learning Model Operationalization Management (MLOPS) Market

16.1. UK Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Machine Learning Model Operationalization Management (MLOPS) Market

17.1. Germany Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Machine Learning Model Operationalization Management (MLOPS) Market

18.1. France Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.2. France Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.3. France Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Machine Learning Model Operationalization Management (MLOPS) Market

19.1. Italy Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.2. Italy Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.3. Italy Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Machine Learning Model Operationalization Management (MLOPS) Market

20.1. Spain Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.2. Spain Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.3. Spain Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market

21.1. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market Overview
21.2. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Machine Learning Model Operationalization Management (MLOPS) Market

22.1. Russia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Machine Learning Model Operationalization Management (MLOPS) Market

23.1. North America Machine Learning Model Operationalization Management (MLOPS) Market Overview
23.2. North America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Machine Learning Model Operationalization Management (MLOPS) Market

24.1. USA Machine Learning Model Operationalization Management (MLOPS) Market Overview
24.2. USA Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Machine Learning Model Operationalization Management (MLOPS) Market

25.1. Canada Machine Learning Model Operationalization Management (MLOPS) Market Overview
25.2. Canada Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Machine Learning Model Operationalization Management (MLOPS) Market

26.1. South America Machine Learning Model Operationalization Management (MLOPS) Market Overview
26.2. South America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Machine Learning Model Operationalization Management (MLOPS) Market

27.1. Brazil Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Machine Learning Model Operationalization Management (MLOPS) Market

28.1. Middle East Machine Learning Model Operationalization Management (MLOPS) Market Overview
28.2. Middle East Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Machine Learning Model Operationalization Management (MLOPS) Market

29.1. Africa Machine Learning Model Operationalization Management (MLOPS) Market Overview
29.2. Africa Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Machine Learning Model Operationalization Management (MLOPS) Market Competitive Landscape And Company Profiles

30.1. Machine Learning Model Operationalization Management (MLOPS) Market Competitive Landscape
30.2. Machine Learning Model Operationalization Management (MLOPS) Market Company Profiles
- 30.2.1. Google LLC
  - 30.2.1.1. Overview
  - 30.2.1.2. Products and Services
  - 30.2.1.3. Strategy
  - 30.2.1.4. Financial Performance
- 30.2.2. Microsoft Corporation
  - 30.2.2.1. Overview
  - 30.2.2.2. Products and Services
  - 30.2.2.3. Strategy
  - 30.2.2.4. Financial Performance
- 30.2.3. Amazon Web Services Inc.
  - 30.2.3.1. Overview
  - 30.2.3.2. Products and Services
  - 30.2.3.3. Strategy
  - 30.2.3.4. Financial Performance
- 30.2.4. IBM Corporation
  - 30.2.4.1. Overview
  - 30.2.4.2. Products and Services
  - 30.2.4.3. Strategy
  - 30.2.4.4. Financial Performance
- 30.2.5. Oracle Corporation
  - 30.2.5.1. Overview
  - 30.2.5.2. Products and Services
  - 30.2.5.3. Strategy
  - 30.2.5.4. Financial Performance

31. Machine Learning Model Operationalization Management (MLOPS) Market Other Major And Innovative Companies

31.1. SAP SE
31.2. Hewlett Packard Enterprise Development LP
31.3. SAS Institute Inc.
31.4. Informatica Corporation
31.5. Cloudera Inc.
31.6. Databricks Inc
31.7. TIBCO Software Inc.
31.8. Alteryx Inc.
31.9. DataRobot Inc
31.10. Dataiku Inc.
31.11. Domino Data Lab Inc
31.12. Neptune Labs
31.13. H2O.ai
31.14. RapidMiner
31.15. Tecton Inc

32. Global Machine Learning Model Operationalization Management (MLOPS) Market Competitive Benchmarking

33. Global Machine Learning Model Operationalization Management (MLOPS) Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Machine Learning Model Operationalization Management (MLOPS) Market

35. Machine Learning Model Operationalization Management (MLOPS) Market Future Outlook and Potential Analysis

35.1 Machine Learning Model Operationalization Management (MLOPS) Market In 2028 - Countries Offering Most New Opportunities
35.2 Machine Learning Model Operationalization Management (MLOPS) Market In 2028 - Segments Offering Most New Opportunities
35.3 Machine Learning Model Operationalization Management (MLOPS) Market In 2028 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer