REPORT SCOPE & OVERVIEW
The MLOps Market size was USD 1.18 billion in 2022 and is expected to Reach USD 17.4 billion by 2030 and grow at a CAGR of 40 % over the forecast period of 2023-2030
MLOps is a set of practices that combines machine learning and DevOps to automate the end-to-end machine learning lifecycle, from data preparation to model deployment and monitoring. By automating the ML lifecycle, MLOps can help organizations to Deploy models more quickly and efficiently. Improve the accuracy and performance of models. Reduce the risk of bias in models. Monitor models for performance and drift. MLOps is essential for organizations that want to successfully deploy and scale machine learning models in production. MLOps is a rapidly evolving field, and there are new tools and techniques being developed all the time. As MLOps matures, it is becoming an essential part of the machine learning toolkit. The most popular MLOps tools are Databricks MLflow, Amazon Sage Maker, and Google Cloud ML Engine. The number of MLOps jobs is projected to grow by 300% by 2023. MLOps give SMEs access to robust predictive models that can spur growth and keep them competitive in the market. For instance, the start-up AI company OmniML announced the release of Omnimizer in June 2022. The new platform bridges the gap between edge hardware and ML models to streamline and enhance MLOps. MLOps is being adopted by various industries, including healthcare, IT, retail, and more. This widespread adoption creates lucrative growth opportunities as organizations recognize the benefits of MLOps and seek to implement it in their operations. In May 2021, Google LLC launched an MLOps solution, Vertex AI a managed AI platform. It’s designed to help companies to accelerate the deployment and maintenance of AI models, Google says, by requiring nearly 80% fewer lines of code to train a model versus competitive platforms. The growth of the MLOps market also translates into career opportunities for professionals with expertise in machine learning, data engineering, software development, and operations management. Organizations are seeking skilled individuals who can effectively implement and manage MLOps processes.
Increasing adoption of machine learning and artificial intelligence.
The increase in internet and digital adoption around the world has a beneficial effect on market expansion.
Growing demand for cloud-based MLOps solutions.
The rise of AI and machine learning is driving the demand for MLOps solutions. Organizations are increasingly using ML to automate tasks, improve decision-making, and gain insights from data. MLOps helps organizations to deploy and scale ML models in production, which is essential for realizing the benefits of AI.
Complexity of MLOps
There is still a lack of awareness about MLOps among many organizations.
MLOps is a complex and challenging discipline. It requires a deep understanding of both ML and DevOps. This can be a barrier for some organizations, especially those that are new to ML.
The rise of edge computing
Demand for MLOps tools and solutions presents opportunities for companies to develop and provide innovative MLOps tools and platforms.
Edge computing is a new paradigm for computing that brings computation and storage closer to the data source. This is creating new opportunities for MLOps, as it allows organizations to deploy and run ML models at the edge.
Data quality is a critical factor for MLOps.
Model deployment is another major challenge for MLOps. It can be difficult to deploy ML models in production and ensure that they are working correctly.
If the data is not of high quality, then the ML models will not be accurate. This is a major challenge for organizations, as it can be difficult to ensure that the data is of high quality.
IMPACT OF RUSSIAN UKRAINE WAR
The MLOps business has been greatly affected by the Russian-Ukrainian conflict. The supply chain for key crucial MLOps components, like GPUs and cloud computing resources, has been hampered by the war. As a result, these components now have higher prices and longer lead times, which makes it more challenging for MLOps teams to install and scale their models. There is a talent shortage in the MLOps business as a result of the war's forced emigration of many Ukrainian IT workers. For MLOps teams, this has made it increasingly challenging to identify and hire qualified engineers. The number of Ukrainian IT specialists employed by the MLOps sector has fallen by 20%. Cyberattacks on MLOps teams have increased by 30% in number. According to Google Cloud, the conflict has "significantly disrupted" their business activities in Ukraine. Some of the company's employees had to relocate, and the demand for its security products has grown. According to Google Cloud, the conflict has "significantly disrupted" their business activities in Ukraine. Some of the company's employees had to relocate, and the demand for its security products has grown. The sector, though, is adaptable and will rise to the new difficulties. In the long run, as businesses look for ways to increase their security and resilience, the fight may potentially hasten the adoption of MLOps.
IMPACT OF ONGOING RECESSION
The MLOps market is suffering from the continuing recession. Leading businesses in the industry are announcing slower growth, layoffs, and budget reductions. For instance, a well-known MLOps platform, Databricks, recently disclosed that 200 people would be let go. In the first quarter of 2023, global investment in MLOps decreased by 20%, according to a new analysis by CB Insights. In the first quarter of 2023, the number of job posts for MLOps roles decreased by 10%. In the first quarter of 2023, the number of M&A transactions in the MLOps sector decreased by 25%. The market's long-term forecast, though, is still favourable. For companies that wish to deploy and expand machine learning models, MLOps is an essential piece of technology. As the demand for machine learning continues to grow, so will the demand for MLOps solutions.
KEY MARKET SEGMENTS
By Organization Size
Small and Medium Size Enterprise
By End-Use Vertical
Rest of Eastern Europe
Rest of Western Europe
Rest of Asia Pacific
Middle East & Africa
Rest of the Middle East
Rest of Africa
Rest of Latin America
North America dominated the market in 2022, accounting for over 41% of the worldwide revenue. Due to Al's strong R&D capacities in developed economies, research institutions, and numerous top Al firms situated in this area. It is projected that North America will see profitable growth prospects as a result of the rising investment in cutting-edge technologies to improve customer experience and business processes. Additionally, over the past few years, the region has made significant investments in technology related to aluminumw2 and has strong R&D skills in the field. In order to assist the advancement of the field, they have also implemented policies. For instance, open-source business Allegro AI announced in December 2022 that it had passed a significant growth milestone, setting new benchmarks in user base, revenue, and collaborations. The company also announced opening its first office in the U.S. to meet the high demand for its platform
Asia Pacific is expected to have the quickest CAGR Over the forecast period. The market for cloud computing in the area is expanding quickly, with major businesses like Amazon Web Services, Inc., Microsoft, and Google increasing their presence there. As enterprises take use of cloud infrastructure's scalability and flexibility, cloud-based MLOps solutions are anticipated to experience increasing adoption in the region. Additionally, governments and companies in the APAC region are making significant investments in AI and machine learning. This investment increases demand for MLOps solutions, which enable businesses to rapidly build and use machine learning models.
The major key players in the MLOps Market are IBM Corporation, GAVS Technologies, Amazon Web Services, Inc., Databricks, Inc., DataRobot, Inc., Microsoft Corporation, Cloudera, Inc., Akira AI, Alteryx, Google LLC, and other players.
Amazon Web Services Inc-Company Financial Analysis
In April 2023, Canonical Ltd., a computer software company, announced the launch of Charmed Kubeflow, its machine learning operations toolkit, on Amazon Web Services Inc.’s cloud marketplace. The new launch is planned for businesses looking to kickstart their ML and AI initiatives.
In October 2021, DataRobot Released a new version of its DataRobot platform with new features for MLOps, including model monitoring and explainability.
|Market Size in 2022
|Market Size by 2030
|US$ 17.4 Bn
|CAGR of 40% From 2023 to 2030
|Report Scope & Coverage
|Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
|• By Component (Platform, Service)
• By Deployment Mode (On-Premise, Cloud)
• By Organization Size (Large Enterprises, Small and Medium-sized Enterprises)
• By End-Use Vertical (IT, Telecom Services, Government, BFSI, Retail, Consumer Goods, Transportation, Others)
|North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America)
|IBM Corporation, GAVS Technologies, Amazon Web Services, Inc., Databricks, Inc., DataRobot, Inc., Microsoft Corporation, Cloudera, Inc., Akira AI, Alteryx, Google LLC
|• Increasing adoption of machine learning and artificial intelligence.
• The increase in internet and digital adoption around the world has a beneficial effect on market expansion.
• Growing demand for cloud-based MLOps solutions.
|• Complexity of MLOps
• There is still a lack of awareness about MLOps among many organizations.
Ans. The Compound Annual Growth rate for MLOps Market over the forecast period is 40%.
Ans. USD 17.4 Billion is the Company's projected MLOps Market size by 2030.
Ans. MLOps, short for Machine Learning Operations, is an approach to managing the lifecycle of machine learning models. It encompasses various stages, including data gathering, model development, deployment, monitoring, and governance.
Ans. MLOps is crucial in modern businesses because it offers several benefits, including faster go-to-market times, lower operational costs, improved decision-making, and more effective automation.
Ans. MLOps draws inspiration from DevOps practices for software development. It brings together diverse teams in an organization to accelerate the development and deployment of machine learning models.
TABLE OF CONTENT
1.1 Market Definition
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
188.8.131.52 United Kingdom
184.108.40.206 South Korea
220.127.116.11 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. MLOps Market Segmentation, by Component
9. MLOps Market Segmentation, by Deployment
10. MLOps Market Segmentation, by Organization Size
10.1 Large Enterprise
10.2 Small and Medium Enterprise
11. MLOps Market Segmentation, by End-Use Vertical
11.2 Telecom Services
11.6 Consumer Goods
12. Regional Analysis
12.2 North America
12.2.1 North America MLOps Market by Country
12.2.2North America MLOps Market by Component
12.2.3 North America MLOps Market by Deployment
12.2.4 North America MLOps Market by Organization Size
12.2.5 North America MLOps Market by End-Use Vertical
18.104.22.168 USA MLOps Market by Component
22.214.171.124 USA MLOps Market by Deployment
126.96.36.199 USA MLOps Market by Organization Size
188.8.131.52 USA MLOps Market by End-Use Vertical
184.108.40.206 Canada MLOps Market by Component
220.127.116.11 Canada MLOps Market by Deployment
18.104.22.168 Canada MLOps Market by Organization Size
22.214.171.124 Canada MLOps Market by End-Use Vertical
126.96.36.199 Mexico MLOps Market by Component
188.8.131.52 Mexico MLOps Market by Deployment
184.108.40.206 Mexico MLOps Market by Organization Size
220.127.116.11 Mexico MLOps Market by End-Use Vertical
12.3.1 Eastern Europe
18.104.22.168 Eastern Europe MLOps Market by Country
22.214.171.124 Eastern Europe MLOps Market by Component
126.96.36.199 Eastern Europe MLOps Market by Deployment
188.8.131.52 Eastern Europe MLOps Market by Organization Size
184.108.40.206 Eastern Europe MLOps Market by End-Use Vertical
220.127.116.11.1 Poland MLOps Market by Component
18.104.22.168.2 Poland MLOps Market by Deployment
22.214.171.124.3 Poland MLOps Market by Organization Size
126.96.36.199.4 Poland MLOps Market by End-Use Vertical
188.8.131.52.1 Romania MLOps Market by Component
184.108.40.206.2 Romania MLOps Market by Deployment
220.127.116.11.3 Romania MLOps Market by Organization Size
18.104.22.168.4 Romania MLOps Market by End-Use Vertical
22.214.171.124.1 Hungary MLOps Market by Component
126.96.36.199.2 Hungary MLOps Market by Deployment
188.8.131.52.3 Hungary MLOps Market by Organization Size
184.108.40.206.4 Hungary MLOps Market by End-Use Vertical
220.127.116.11.1 Turkey MLOps Market by Component
18.104.22.168.2 Turkey MLOps Market by Deployment
22.214.171.124.3 Turkey MLOps Market by Organization Size
126.96.36.199.4 Turkey MLOps Market by End-Use Vertical
188.8.131.52 Rest of Eastern Europe
184.108.40.206.1 Rest of Eastern Europe MLOps Market by Component
220.127.116.11.2 Rest of Eastern Europe MLOps Market by Deployment
18.104.22.168.3 Rest of Eastern Europe MLOps Market by Organization Size
22.214.171.124.4 Rest of Eastern Europe MLOps Market by End-Use Vertical
12.3.2 Western Europe
126.96.36.199 Western Europe MLOps Market by Country
188.8.131.52 Western Europe MLOps Market by Component
184.108.40.206 Western Europe MLOps Market by Deployment
220.127.116.11 Western Europe MLOps Market by Organization Size
18.104.22.168 Western Europe MLOps Market by End-Use Vertical
22.214.171.124.1 Germany MLOps Market by Component
126.96.36.199.2 Germany MLOps Market by Deployment
188.8.131.52.3 Germany MLOps Market by Organization Size
184.108.40.206.4 Germany MLOps Market by End-Use Vertical
220.127.116.11.1 France MLOps Market by Component
18.104.22.168.2 France MLOps Market by Deployment
22.214.171.124.3 France MLOps Market by Organization Size
126.96.36.199.4 France MLOps Market by End-Use Vertical
188.8.131.52.1 UK MLOps Market by Component
184.108.40.206.2 UK MLOps Market by Deployment
220.127.116.11.3 UK MLOps Market by Organization Size
18.104.22.168.4 UK MLOps Market by End-Use Vertical
22.214.171.124.1 Italy MLOps Market by Component
126.96.36.199.2 Italy MLOps Market by Deployment
188.8.131.52.3 Italy MLOps Market by Organization Size
184.108.40.206.4 Italy MLOps Market by End-Use Vertical
220.127.116.11.1 Spain MLOps Market by Component
18.104.22.168.2 Spain MLOps Market by Deployment
22.214.171.124.3 Spain MLOps Market by Organization Size
126.96.36.199.4 Spain MLOps Market by End-Use Vertical
188.8.131.52.1 Netherlands MLOps Market by Component
184.108.40.206.2 Netherlands MLOps Market by Deployment
220.127.116.11.3 Netherlands MLOps Market by Organization Size
18.104.22.168.4 Netherlands MLOps Market by End-Use Vertical
22.214.171.124.1 Switzerland MLOps Market by Component
126.96.36.199.2 Switzerland MLOps Market by Deployment
188.8.131.52.3 Switzerland MLOps Market by Organization Size
184.108.40.206.4 Switzerland MLOps Market by End-Use Vertical
220.127.116.11.1 Austria MLOps Market by Component
18.104.22.168.2 Austria MLOps Market by Deployment
22.214.171.124.3 Austria MLOps Market by Organization Size
126.96.36.199.4 Austria MLOps Market by End-Use Vertical
188.8.131.52 Rest of Western Europe
184.108.40.206.1 Rest of Western Europe MLOps Market by Component
220.127.116.11.2 Rest of Western Europe MLOps Market by Deployment
18.104.22.168.3 Rest of Western Europe MLOps Market by Organization Size
22.214.171.124.4 Rest of Western Europe MLOps Market by End-Use Vertical
12.4.1 Asia Pacific MLOps Market by Country
12.4.2 Asia Pacific MLOps Market by Component
12.4.3 Asia Pacific MLOps Market by Deployment
12.4.4 Asia Pacific MLOps Market by Organization Size
12.4.5 Asia Pacific MLOps Market by End-Use Vertical
126.96.36.199 China MLOps Market by Component
188.8.131.52 China MLOps Market by Deployment
184.108.40.206 China MLOps Market by Organization Size
220.127.116.11 China MLOps Market by End-Use Vertical
18.104.22.168 India MLOps Market by Component
22.214.171.124 India MLOps Market by Deployment
126.96.36.199 India MLOps Market by Organization Size
188.8.131.52 India MLOps Market by End-Use Vertical
184.108.40.206 Japan MLOps Market by Component
220.127.116.11 Japan MLOps Market by Deployment
18.104.22.168 Japan MLOps Market by Organization Size
22.214.171.124 Japan MLOps Market by End-Use Vertical
12.4.9 South Korea
126.96.36.199 South Korea MLOps Market by Component
188.8.131.52 South Korea MLOps Market by Deployment
184.108.40.206 South Korea MLOps Market by Organization Size
220.127.116.11 South Korea MLOps Market by End-Use Vertical
18.104.22.168 Vietnam MLOps Market by Component
22.214.171.124 Vietnam MLOps Market by Deployment
126.96.36.199 Vietnam MLOps Market by Organization Size
188.8.131.52 Vietnam MLOps Market by End-Use Vertical
184.108.40.206 Singapore MLOps Market by Component
220.127.116.11 Singapore MLOps Market by Deployment
18.104.22.168 Singapore MLOps Market by Organization Size
22.214.171.124 Singapore MLOps Market by End-Use Vertical
126.96.36.199 Australia MLOps Market by Component
188.8.131.52 Australia MLOps Market by Deployment
184.108.40.206 Australia MLOps Market by Organization Size
220.127.116.11 Australia MLOps Market by End-Use Vertical
12.4.13 Rest of Asia-Pacific
18.104.22.168 Rest of Asia-Pacific MLOps Market by Component
22.214.171.124 Rest of Asia-Pacific APAC MLOps Market by Deployment
126.96.36.199 Rest of Asia-Pacific MLOps Market by Organization Size
188.8.131.52 Rest of Asia-Pacific MLOps Market by End-Use Vertical
12.5 Middle East & Africa
12.5.1 Middle East
184.108.40.206 Middle East MLOps Market by Country
220.127.116.11 Middle East MLOps Market by Component
18.104.22.168 Middle East MLOps Market by Deployment
22.214.171.124 Middle East MLOps Market by Organization Size
126.96.36.199 Middle East MLOps Market by End-Use Vertical
188.8.131.52.1 UAE MLOps Market by Component
184.108.40.206.2 UAE MLOps Market by Deployment
220.127.116.11.3 UAE MLOps Market by Organization Size
18.104.22.168.4 UAE MLOps Market by End-Use Vertical
22.214.171.124.1 Egypt MLOps Market by Component
126.96.36.199.2 Egypt MLOps Market by Deployment
188.8.131.52.3 Egypt MLOps Market by Organization Size
184.108.40.206.4 Egypt MLOps Market by End-Use Vertical
220.127.116.11 Saudi Arabia
18.104.22.168.1 Saudi Arabia MLOps Market by Component
22.214.171.124.2 Saudi Arabia MLOps Market by Deployment
126.96.36.199.3 Saudi Arabia MLOps Market by Organization Size
188.8.131.52.4 Saudi Arabia MLOps Market by End-Use Vertical
184.108.40.206.1 Qatar MLOps Market by Component
220.127.116.11.2 Qatar MLOps Market by Deployment
18.104.22.168.3 Qatar MLOps Market by Organization Size
22.214.171.124.4 Qatar MLOps Market by End-Use Vertical
126.96.36.199 Rest of Middle East
188.8.131.52.1 Rest of Middle East MLOps Market by Component
184.108.40.206.2 Rest of Middle East MLOps Market by Deployment
220.127.116.11.3 Rest of Middle East MLOps Market by Organization Size
18.104.22.168.4 Rest of Middle East MLOps Market by End-Use Vertical
22.214.171.124 Africa MLOps Market by Country
126.96.36.199 Africa MLOps Market by Component
188.8.131.52 Africa MLOps Market by Deployment
184.108.40.206 Africa MLOps Market by Organization Size
220.127.116.11 Africa MLOps Market by End-Use Vertical
18.104.22.168.1 Nigeria MLOps Market by Component
22.214.171.124.2 Nigeria MLOps Market by Deployment
126.96.36.199.3 Nigeria MLOps Market by Organization Size
188.8.131.52.4 Nigeria MLOps Market by End-Use Vertical
184.108.40.206 South Africa
220.127.116.11.1 South Africa MLOps Market by Component
18.104.22.168.2 South Africa MLOps Market by Deployment
22.214.171.124.3 South Africa MLOps Market by Organization Size
126.96.36.199.4 South Africa MLOps Market by End-Use Vertical
188.8.131.52 Rest of Africa
184.108.40.206.1 Rest of Africa MLOps Market by Component
220.127.116.11.2 Rest of Africa MLOps Market by Deployment
18.104.22.168.3 Rest of Africa MLOps Market by Organization Size
22.214.171.124.4 Rest of Africa MLOps Market by End-Use Vertical
12.6. Latin America
12.6.1 Latin America MLOps Market by Country
12.6.2 Latin America MLOps Market by Component
12.6.3 Latin America MLOps Market by Deployment
12.6.4 Latin America MLOps Market by Organization Size
12.6.5 Latin America MLOps Market by End-Use Vertical
126.96.36.199 Brazil MLOps Market by Component
188.8.131.52 Brazil Africa MLOps Market by Deployment
184.108.40.206 Brazil MLOps Market by Organization Size
220.127.116.11 Brazil MLOps Market by End-Use Vertical
18.104.22.168 Argentina MLOps Market by Component
22.214.171.124 Argentina MLOps Market by Deployment
126.96.36.199 Argentina MLOps Market by Organization Size
188.8.131.52 Argentina MLOps Market by End-Use Vertical
184.108.40.206 Colombia MLOps Market by Component
220.127.116.11 Colombia MLOps Market by Deployment
18.104.22.168 Colombia MLOps Market by Organization Size
22.214.171.124 Colombia MLOps Market by End-Use Vertical
12.6.9 Rest of Latin America
126.96.36.199 Rest of Latin America MLOps Market by Component
188.8.131.52 Rest of Latin America MLOps Market by Deployment
184.108.40.206 Rest of Latin America MLOps Market by Organization Size
220.127.116.11 Rest of Latin America MLOps Market by End-Use Vertical
13 Company profile
13.1 IBM Corporation
13.1.1 Company Overview
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 GAVS Technologies
13.2.1 Company Overview
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Amazon Web Services, Inc.
13.3.1 Company Overview
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Databricks, Inc.
13.4.1 Company Overview
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 DataRobot Inc.
13.5.1 Company Overview
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Microsoft Corporation
13.6.1 Company Overview
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Cloudera, Inc.
13.7.1 Company Overview
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Akira AI
13.8.1 Company Overview
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9.1 Company Overview
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Google LLC
13.10.1 Company Overview
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Company Share Analysis
14.3 Recent Developments
14.3.1 End-Use News
14.3.2 Company News
14.3.3 Mergers & Acquisitions
15. USE Cases and Best Practices
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Step 2: Primary Research
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We at SNS Insider have divided Primary Research into 2 parts.
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This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
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Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
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