MLOps Market to See Major Growth by 2026 | Google Cloud, Pachyderm, Iguazio

Advance Market Analytics published a new research publication on “MLOps Market Insights, to 2026″ with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the MLOps market was mainly driven by the increasing R&D spending across the world.

Some of the key players profiled in the study are:

H2O.ai, Inc. (United States), Iguazio (United States), Algorithmia Inc. (United States), Amazon SageMaker (United States), SAS (United States), Azure Machine Learning (United States), Hopworks (United States), Pachyderm Inc. (United States), Google Cloud (United States) and Open ML (United States).

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Scope of the Report of MLOps
The machine learning operating emerged in 2020, recently it is widely used in artificial intelligence and machine learning. The increase in the number of AI technology implementations in organizations is driving the demand for tools and processes to develop and deploy production-ready machine learning models. There is some major trend in this industry are ML Models Becomes Foundational to Many Sectors, Data Scientists Move Closer to DevOps, ML Models Become Scalable, and Model Assets are No Longer Hiding in the Dark.

The titled segments and sub-section of the market are illuminated below:

by Type (Data Management {Data Exploration & Management, Data Labelling, Data Streaming, Data Version Control, and Others}, Modeling {Data Processing & Visualization, Model Training, Model Optimization, and Others}, Continuous Development {Feature Transformation, Monitoring, Model Deployment & Serving, and Others}, Computing & Resource {Scaling, Security & Privacy, Resource Allocation, and Others}), Deployment Mode (Cloud-Based, On-Premises), End Users (Data Scientists, ML Engineers, AI enthusiasts, Others), Industry Verticals (Financial Services, Telecommunications, Smart Mobility, Manufacturing, Retail, Ad-Tech and Gaming, Healthcare, Others), Enterprise (Small and Medium Enterprises, Large Enterprises)

In 2020, NTT DATA Corporation announced the launch of Machine Learning Operations (MLOps) introduction service that shortens the AI service creation cycle for customers and provides continuous improvement. Through this initiative, the company is gaining a major share in the industry.

Influencing Market Trend

• The market-leading platforms are adapting business strategies to position themselves as holistic platforms

Market Drivers

• Development in Artificial Intelligence Industry. According to the stats, by the year 2027, the North America Artificial Intelligence Industry Expected to reach USD 99.4 billion
• Increase in Difficulty of Building Machine Learning Systems

Opportunities

• Increase Adoption of Machine Leading Across Banking Sector

Restraints

• Lack of Skilled Labor
• Complexity in Procedure

Challenges

• Lack of Awareness

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

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Strategic Points Covered in Table of Content of Global MLOps Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the MLOps market

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Chapter 2: Exclusive Summary – the basic information of the MLOps Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the MLOps

Chapter 4: Presenting the MLOps Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020

Chapter 6: Evaluating the leading manufacturers of the MLOps market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2026)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, MLOps Market is a valuable source of guidance for individuals and companies.

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