MLOps

MLOps


MLOps is the operation of machine learning from the development of the model to the operations of the final product. The last one refers to the process of development, deployment, management, and automation of machine learning development to meet a scalable output of high-quality machine learning models.

The MLOps Market holds a promising Potential for Exponential Speedup with a CAGR of 41% for the forecast period. Businesses are applying artificial intelligence/machine learning ideas successfully in their organizations to build competitive advantages and add more value to their organizations. MLOps helps to operationalize machine learning models meaning that it makes it easier to put the models into the production environment. Further, the healthcare, finance, and telecommunications industries come under strict regulatory standards concerning data security, privacy, and model explainability. This way, MLOps ensures that an organization meets regulatory requirements on aspects such as governance audibility and traceability at each stage in the machine learning process.
  • The segments based on the Component that constitute the MLOps Market include Platform and Service. The Platform segment led the market in 2023. Solutions in the MLOps market contain solid platforms and instruments for organizations to create, handle, and scale up machine learning models. For instance, Amazon Web Service’s SageMaker is a general ML platform that allows and supports everything from labeling to deployment of the model according to the needs of various industries across the world.
  • Based on the Industry Vertical, the MLOps Market has been classified into BFSI, Manufacturing, IT and Telecom, Retail and E-commerce, Energy and Utility, Healthcare, Media and Entertainment, and Others. In 2023, the IT and Telecom segment led the MLOps Market. IT and Telecom are the most advanced industries in terms of MLOps usage for the improvement of network management, cybersecurity, and customer value. For instance, through MLOps, Telefonica in Spain applies techniques of enhancing the performance of a network and level of maintenance to guarantee customers reliable connection.
  • In order to understand the global market of the MLOps industry, the market is divided into global regions including North America, Europe, Asia-Pacific, and the rest of the world where it is spread across the countries, namely U. S., Canada, Rest of North America, Germany, U. K., France, Spain, Italy, Rest of Europe, China, Japan, India, and Rest of Asia-Pacific and Rest of the World. In 2023, the market was led by North America, which accounts for the largest market share. The North American region holds higher revenues mainly because most organizations in this region are still sticking to AI from the starting period, and most of the tech-giants are invested in superior MLOps solutions. In this case, technology powerhouses such as Google, Microsoft, and IBM are some of the key players leaning into the regional leadership in MLOps advancement consequently boosting the economy through the different sectors.
  • Some of the major players operating in the market include Akira AI (XenonStack), Alteryx Inc., Amazon Web Services Inc., Dataiku Inc., Datarobot Inc., Domino Data Lab Inc., Google LLC (Alphabet Inc.), H2O.ai, and Hewlett Packard Enterprise Development LP.


1 MARKET INTRODUCTION
1.1. Market Definitions
1.2. Main Objective
1.3. Stakeholders
1.4. Limitation
2 RESEARCH METHODOLOGY OR ASSUMPTION
2.1. Research Process of the MLOps Market
2.2. Research Methodology of the MLOps Market
2.3. Respondent Profile
3 EXECUTIVE SUMMARY
3.1. Industry Synopsis
3.2. Segmental Outlook
3.2.1. Market Growth Intensity
3.3. Regional Outlook
4 MARKET DYNAMICS
4.1. Drivers
4.2. Opportunity
4.3. Restraints
4.4. Trends
4.5. PESTEL Analysis
4.6. Demand Side Analysis
4.7. Supply Side Analysis
4.7.1. Merger & Acquisition
4.7.2. Investment Scenario
4.7.3. Industry Insights: Leading Startups and Their Unique Strategies
5 PRICING ANALYSIS
5.1. Regional Pricing Analysis
5.2. Price Influencing Factors
6 GLOBAL MLOPS MARKET REVENUE (USD BN), 2022-2032F
7 MARKET INSIGHTS BY COMPONENT
7.1. Platform
7.2. Service
8 MARKET INSIGHTS BY INDUSTRY VERTICAL
8.1. BFSI
8.2. Manufacturing
8.3. IT and Telecom
8.4. Retail and E-commerce
8.5. Energy and Utility
8.6. Healthcare
8.7. Media and Entertainment
8.8. Others
9 MARKET INSIGHTS BY REGION
9.1. North America
9.1.1. U.S.
9.1.2. Canada
9.1.3. Rest of North America
9.2. Europe
9.2.1. Germany
9.2.2. U.K.
9.2.3. France
9.2.4. Italy
9.2.5. Spain
9.2.6. Rest of Europe
9.3. Asia-Pacific
9.3.1. China
9.3.2. Japan
9.3.3. India
9.3.4. Rest of Asia-Pacific
9.4. Rest of World
10 VALUE CHAIN ANALYSIS
10.1. Key Component Analysis
10.2. List of Market Participants
11 COMPETITIVE LANDSCAPE
11.1. Competition Dashboard
11.2. Competitor Market Positioning Analysis
11.3. Porter Five Forces Analysis
12 COMPANY PROFILED
12.1. Akira AI (XenonStack)
12.1.1. Company Overview
12.1.2. Key Financials
12.1.3. SWOT Analysis
12.1.4. Product Portfolio
12.1.5. Recent Developments
12.2. Alteryx Inc.
12.3. Amazon Web Services Inc.
12.4. Dataiku Inc.
12.5. Datarobot Inc.
12.6. Domino Data Lab Inc.
12.7. Google LLC (Alphabet Inc.)
12.8. H2O.ai
12.9. Hewlett Packard Enterprise Development LP
12.10. International Business Machines Corporation
13 ACRONYMS & ASSUMPTION
14 ANNEXURE

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