MLOps Market size was valued at USD 1.06 Bn in 2022 and is expected to reach USD 22.1 Bn by 2029, at a CAGR of 38.7%
MLOps Market Overview:
Maximize Market Research's new report, Global MLOps Market 2021-2027, is useful for understanding the market's competitors. The research provides a broad and basic examination of the market, including an examination of subjective factors that might provide readers with vital business insights. The research provides a market overview that explains the value chain structure, geographical analysis, applications, market size, and forecast (2021-2027). The research will serve as a vehicle for a more accurate assessment of the current and future conditions of the worldwide MLOps market.
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MLOps Market Scope:
The research provides an analytical view of the business by studying several elements such as worldwide MLOps market growth, consumption volume, market trends, and company pricing structures throughout the projected period. The analysis includes extensive research to explore the market's complexities. The research provides an overview of the worldwide MLOps market, including market characteristics, market segmentation analysis, market size, customer landscape, and geographical landscape. The study considers growth drivers, current trends, advancements, prospects, and the competitive environment in its research. This market has been examined in several areas based on productivity and manufacturing base.
MLOps Segmentation:
Deployment Mode: MLOps platforms can be set up in the cloud or on-premises. On-premises deployment entails setting up MLOps infrastructure and software on the client's property. As the software is licensed and the complete instance of the software resides on-site, on-premise software necessitates that an enterprise obtain a license or a copy of the software in order to utilize it. On the other hand, cloud-based deployment involves hosting and managing the MLOps platform using cloud infrastructure and services. A cloud-based server makes use of virtual technologies to host programs remotely for businesses. Data is routinely backed up, there are no capital expenses, and businesses only pay for the services they consume.
Industry Vertical: A wide number of industry verticals, including BFSI, healthcare, retail, telecommunications, and others, are served by the ML Ops market. diverse industry verticals have diverse ML use cases and requirements, such as banks using MLOps to expand ML models, reduce operational costs, and address pressing issues with data management like ethics, accountability, and transparency. Multi-talented teams can collaborate more effectively and complete more tasks in a standardized manner thanks to MLOps. And ML Ops platforms must be customized to satisfy these particular requirements.
The many parts of an ML Ops platform, such as model deployment, model training, model management, data management, and monitoring and governance, are used to segment the ML Ops market. ML pipelines have been automated by many businesses, yet models are still not compliant with regulatory standards. A 2021 Algorithmia-Study found that 56% of participants ranked implementing model governance as one of the most difficult aspects of successfully putting ML apps into production. Decrease in deployment time, increased scalability, and decreased error percentages are the three key MLOps components that are required.
Application: Based on ML Ops' specialized applications, like fraud detection, predictive maintenance, recommendation engines, and others, the market for ML Ops is also divided into different submarkets. Fraud detection has been done via MLOps, where ML models are taught to spot fraudulent activities in real time. This sample application makes use of MLOps techniques to help identify phony insurance and credit card transactions. The development and application of necessary machine learning models, such as those that forecast patient outcomes or identify potential health issues before they become serious, is made simpler by MLOps in the lucrative and crucial field of predictive healthcare.
1 MLOps Market, by Deployment Mode (2022-2029)
• On-Premises deployment
o Installation of MLOps software
o Infrastructure on the customer’s premises
• Cloud-Based Deployment
o Use of Cloud Infrastructure
o Services to host and manage the MLOps platform
2 MLOps Market, by Organization Size (2022-2029)
• Small & Medium-Sized Enterprises
• Large enterprises
3 MLOps Market, by Industry Vertical (2022-2029)
• BFSI
• Healthcare
• Retail
• Telecommunication
• Others
4 MLOps Market, by Component (2022-2029)
• Model Deployment
• Model Training
• Model Management
• Data Management
• Monitoring and Governance
5 MLOps Market, by Application (2022-2029)
• Fraud Detection
• Predictive Maintenance
• Recommendation Engines
• Others
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MLOps Key Players:
It then discusses the top competitors in the worldwide MLOps market, as well as emerging players, in detail, including market share based on revenue, demand, high-quality product makers, sales, and service providers. In addition, the research assesses capacity utilization, raw material sources, import-export, the value chain, price structure, and the industrial supply chain. The following players are featured in this report:
• Microsoft
1. Amazon
2. Google
3. IBM
4. Dataiku
5. Lguazio
6. Databricks
7. DataRobot, Inc.
8. Cloudera
9. Modzy
10. Algorithmia
11. HPE
12. Valohai
13. Allegro AI
14. Comet
15. FloydHub
16. Paperpace
17. Cnvrg.io
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Regional Analysis:
The report has analyzed the global MLOps market in the following regions:
- America, North (the United States, Canada, and Mexico)
- European Union (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
- Asia-Pacific region (China, Japan, Korea, India, Southeast Asia, and Australia)
- Latin America (Brazil, Argentina, Colombia, and Rest of South America)
- Africa and the Middle East (Saudi Arabia, UAE, Egypt, South Africa, and Rest of the Middle East & Africa)
The research provides comprehensive insights into numerous development opportunities and challenges in the regions mentioned above based on various types of goods, applications, end-users, and countries, among others. The research also includes key features of the worldwide MLOps market, such as sales growth, product price and analysis, growth potential, and suggestions for tackling market issues in the given regions.
COVID-19 Impact Analysis on MLOps Market:
COVID-19 is an unprecedented worldwide public health emergency that has impacted practically every business, and the long-term impacts are expected to have an influence on industry growth throughout the projection period. Our continuing study expands our research methodology to include fundamental COVID-19 concerns and potential next steps. The research provides insights on COVID-19 by taking into account changes in consumer behavior and demand, purchasing patterns, supply chain re-routing, the dynamics of contemporary market forces, and substantial government initiatives. The revised report contains insights, analysis, projections, and predictions based on the influence of COVID-19 on the market.
Key Questions Answered in the MLOps Market Report are:
- Which are the major companies in the MLOps market?
- Which is the potential market for MLOps in terms of the region?
- Which application area of MLOps is expected to grow at a significant rate in the market in the next 5 years?
- What are the opportunities for new market entrants?
- What will be the MLOps market size by 2027?
- What are the growth prospects for the MLOps market?
- What is the base year considered in the MLOps market report?
- Which region holds the largest market share in the MLOps market?
- What factors are anticipated to drive the MLOps market?
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