MLOps Market is projected to reach USD 14.16 Billion by 2030: Cognitive Market Research

Market Overview:
- What is MLOps?
MLOps is a method of adapting DevOps practices to machine learning development processes. This is used in transitioning from running a couple of ML models manually to using ML models in the company operation. MLOps helps to make data science productive, reduce defects, improve delivery time, and reduce defects. Furthermore, MLOps is the missing bridge between data science, data engineering, and machine learning.

Summary:
● The MLOps Market Size Was Valued at USD 1.21 Billion In 2022 And Is Expected To Grow At A CAGR Of 39.57 % During The Forecast Period, Reaching USD 14.16 Billion By 2030.
● North America has the largest revenue share in the MLOps market.

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Market Dynamics:
• What is the key driving factor for the MLOps market?
Increasing internet and digital penetration across the world and the adoption of MLOps technology in enterprises to improve productivity & operation is the key factor expected to drive the growth of the MLOps market.
• What are the opportunities for the MLOps market?
Increasing investment in the healthcare industry and MLOps help to reduce costs for the whole machine learning lifecycle expected to create growth opportunities for the MLOps market in the forecast period.
• What is the growth hampering factor for the MLOps market?
The lack of a skilled workforce, rigid business models, data security, and inaccessible data are key factors anticipated to hamper the growth of the MLOps market.

Segmentation Analysis:
Component:
● Service
● Platform
Based on the component, the platform segment has the largest market share in the MLOps market. This is due to the increasing productivity of the remote workforce and reduced costs associated with traveling and the technological development of digitalization is projected to drive the growth of this segment.

Deployment Mode:
● Cloud
● On-Premise
Based on deployment mode, the on-premise segment has a major revenue share in the MLOps market. This is attributed to on-premise deployment offering various advantages including a high level of data safety and security likely to boost the growth of this segment. Furthermore, the cloud segment is expected to highest growth during the forecast period, owing to the increasing adoption of cloud-based MLOps.

Organization Size:
● Small and Medium-sized Enterprises
● Large Enterprises
Based on the enterprise's size, the large enterprise segment has the largest revenue share in the global MLOps market. This is due to the increasing demand for MLOps in large enterprises expected to drive the growth of this segment.

Industrial Vertical:
● IT and Telecom
● BFSI
● Manufacturing
● Media and Entertainment
● Retail and E-commerce
● Energy and Utility
● Healthcare
● Others

The Major Players in MLOps Market are:
Microsoft, Amazon, Google, IBM, Dataiku, Lguazio, Databricks, DataRobot Inc., Cloudera, Modzy, Algorithmia, HPE, Valohai, Allegro AI, Comet, FloydHub, Paperpace, Cnvrg.io

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Regional Analysis:
- North America accounted for the largest share of the MLOps market
North America has the largest revenue share in the MLOps market. This is owing to rising investment in advanced technologies including MLOps and AI to the customer experience and improvement businesses anticipated to drive the growth of the MLOps market in the region. However, Asia-Pacific is expected to highest growth during the forecast period. This is due to the increasing adoption of cloud-based services and penetration of digitalization expected to fuel the growth of the MLOps market in the region.

MLOps Market News:
• Google LLC has launched an MLOps solution, Vertex AI a managed AI platform
In May 2021, Google LLC has launched a Vertex AI, MLOps solution, a managed AI platform. This is helping companies accelerate the maintenance and deployment of, Google says, AI models, by requiring around 80% fewer lines of code to train a model competitive platform.
• DataRobot has launched an MLOps solution
In September 2019, DataRobot has launched DataRobot MLOps, a robust machine learning operations (MLOps) solution for monitoring deploying and managing machine learning models across the enterprise.

Browse here for Full TOC:
Table of Content (Revenue USD Edition), (Enquire about Volume/Consumption Edition Data)
Chapter 1 Industrial Insight and Market Scope
• 1.1 Global Mlops Industry Introduction
• 1.2 Objectives of the Study
• 1.3 USP of the Report
• 1.4 Who is this report for?
• 1.5 Designing of Market Scope
1.5.1 Mlops Market Segmentation
1.5.1 Mlops Market Regional Fragmentation
1.5.1 Mlops Market Players
• 1.6 Report Duration
• 1.7 List of Stakeholders
Chapter 2 Research MethodologyReview Complete Research Methodology
Chapter 3 Executive Summary of Mlops Market
• 3.1 Global Mlops Market Size 2018 - 2030, (USD Million)
• 3.2 Global Mlops Value, Absolute & Opportunity Analysis
• 3.3 Global Mlops Market Y-o-Y Growth Rate Projection by Region (2023 - 2030)
• 3.4 Global Mlops Market Statistics 2022: Snapshot
Chapter 4 Global Mlops Market Overview
Chapter 5 Competitive Analysis (Subject to Availability)
Chapter 6 Environmental, Social, and Governance (ESG) Analysis
Chapter 7 Qualitative Analysis
Chapter 8 Company Profiling (Subject to Availability)
Chapter 9 Global Mlops Market by Deployment Mode Segmentation Analysis (2018-2030)
Chapter 10 Global Mlops Market by Application Segmentation Analysis (2018-2030)
Chapter 11 Global Mlops Market by Component Segmentation Analysis (2018-2030)
Chapter 12 Global Mlops Market by Organization Size Segmentation Analysis (2018-2030)
Chapter 13 Global Mlops Market Regional Analysis
Chapter 14 North America Mlops Market Outlook (2018 - 2030)
Chapter 15 Europe Mlops Market Outlook (2018 - 2030)
Chapter 16 Asia Pacific Mlops Market Outlook (2018 - 2030)
Chapter 17 Latin America Mlops Market Outlook (2018 - 2030)
Chapter 18 Middle East and Africa Mlops Market Outlook (2018 - 2030)
Chapter 19 Research Findings
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