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 MLOps Market Research Report provides a comprehensive overview of the market, including its current state, definitions, classifications, applications, industry chain structure, and key players. The report also includes unbiased professional commentary on the present market scenario, market performance, production and consumption rates, demand and supply ratios, and income generation over the forecast period. In addition, the report provides information on the leading businesses functioning in the MLOps industry, their strategic ambitions, and company growth strategies.The report also evaluates mergers and acquisitions, government and corporate transactions, partnerships and collaborations, joint ventures, brand promotions, and product launches in the MLOps market.
For detail insights on this market, request for methodology here
@ https://www.maximizemarketresearch.com/request-sample/186990
MLOps Market Scope
Maximize Market Research’s MLOps Market Report provides a comprehensive analysis of the market, using a dynamic research methodology. The report covers major growth drivers, market dynamics, challenges, and scope, as well as PESTLE, Porter, and SWOT analyses. It also includes information on the latest developments and technologies in the global MLOps market.
The report provides detailed information on the global MLOps market, including market shares, supply chain analysis, and key success factors. It also includes the opinions of industry experts from top leading organizations in the global MLOps market.
The report covers the following historical years (2017-2021), base year (2022) and forecast period (2023-2029).
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.
Organization Size: From small and medium-sized businesses (SMEs) to major corporations, the ML Ops market serves organizations of all sizes. Larger businesses often have more complex ML workflows and need more robust ML Ops solutions, whereas SMEs typically have lesser IT budgets and demand more economical ML Ops solutions.
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.
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 detail insights on this market, request for methodology here
@ 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 detail insights on this market, request for methodology here
@ https://www.maximizemarketresearch.com/market-report/mlops-market/186990/
Regional Analysis
The report provides the statistical market growth data for every influencing economy in the global MLOps market. The various countries like North America, Asia-Pacific, Europe, Latin America, and MEA are considered while preparing report. All the emerging trends with population growth along with government strategies and regulations are covered in the report. The final conclusion part of regional insights consists, of all economies’ in the market influencing data in the form of historical as well as forecasted period.
Key Questions answered in the MLOps Market Report are:
- 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:
- Past Market Size and Competitive Landscape (2017 to 2022)
- Past Pricing and price curve by region (2017 to 2022)
- Market Size, Share, Size & Forecast by different segment | 2023−2029
- Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
- Market Segmentation – A detailed analysis by segments and sub-segments
- Competitive Landscape – Profiles of selected key players by region from a strategic perspective
- Competitive landscape – Market Leaders, Market Followers, Regional player
- Competitive benchmarking of key players by region
- PESTLE Analysis
- PORTER’s analysis
- Value chain and supply chain analysis
- Legal Aspects of business by region
- Lucrative business opportunities with SWOT analysis
- Recommendations
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
