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
The new report by Maximize Market Research on the Global MLOps Market 2022-2029 offers valuable insights into the market’s competitors. The research provides a comprehensive and fundamental analysis of the market, including an exploration of subjective factors that can provide readers with essential business insights. It offers a market overview that encompasses the value chain structure, geographical analysis, applications, market size, and forecast (2021-2029). The research serves as a reliable tool for a more precise assessment of the present and future conditions of the global MLOps market.
For detail insights on this market, request for methodology here
@ https://www.maximizemarketresearch.com/request-sample/186990
MLOps Market Scope
The report places emphasis on key factors driving and restraining major companies, while also highlighting current competitive benchmarking and development prospects. It presents the latest trends in the MLOps market and offers insights into future demand, supply chains, sales, and recent market changes.
The MLOps market research report includes company profiles, product specifications, production capacity/sales, revenue, price, gross margin, and sales by product. In terms of competitive analysis, the report features profiles of key market players, encompassing company overview, financial performance, product portfolio, and strategies. The research incorporates a combination of quantitative and qualitative research methods, utilizing SWOT and PESTLE analysis.
MLOps Market 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
For any Queries Linked with the Report, Ask an Analyst
@ https://www.maximizemarketresearch.com/request-sample/186990
MLOps Market Key Players
• 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
For any Queries Linked with the Report, Ask an Analyst
@ https://www.maximizemarketresearch.com/market-report/mlops-market/186990/
Regional Analysis
The global MLOps Market’s growth trend is examined in depth throughout the report. It segmented into the major 5 regions, such as North America, Asia Pacific, Europe, Latin America, and the Middle East and Africa, which have global dominance in the MLOps market.
Key Questions answered in the MLOps Market Report are:
- What is MLOps Market?
- What is the forecast period of the MLOps Market?
- What is the competitive scenario of the MLOps market?
- Which region held the largest market share in the MLOps Market?
- What are the opportunities for the MLOps Market?
- What are the restraining factors in the MLOps market?
- Who are the key players of the MLOps market?
Key offerings:
- Market Share, Size, and Forecast by Revenue|2022-2029
- Market Dynamics- Growth drivers, Restraints, Investment Opportunities, and key trends
- Market Segmentation: A detailed analysis by MLOps#
- Landscape- Leading key players and other prominent key players.
About Maximize Market Research:
Maximize Market Research is a multifaceted market research and consulting company with professionals from several industries. Some of the industries we cover include science and engineering, electronic components, industrial equipment, technology, and communication, cars, and automobiles, chemical products and substances, general merchandise, beverages, personal care, and automated systems. To mention a few, we provide market-verified industry estimations, technical trend analysis, crucial market research, strategic advice, competition analysis, production and demand analysis, and client impact studies.
Contact Maximize Market Research:
3rd Floor, Navale IT Park, Phase 2
Pune Banglore Highway, Narhe,
Pune, Maharashtra 411041, India
sales@maximizemarketresearch.com
+91 96071 95908, +91 9607365656
