Latest News- MLOps Market: Platform is expected to lead the Component segment during 2025-2029

The MLOps Market is being driven by Explosive proliferation and escalating complexity of artificial intelligence models

The MLOps Market is expected to grow at a CAGR of 24.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 8049.6 million. The MLOps market is experiencing a significant shift with the rise of LLMOps, a specialized sub-discipline dedicated to managing the complex operational requirements of large language models and generative AI systems. This evolution from traditional MLOps is driven by the unique lifecycle of foundation models, which necessitates new stages and tools. LLMOps encompasses advanced prompt engineering workflows, fine tuning and instruction tuning techniques, vector database management for Retrieval-Augmented Generation (RAG), and stringent safety, bias, and factual accuracy evaluation methodologies. By automating and governing these specialized processes, LLMOps is set to revolutionize the way we manage and deploy large language models in business applications. 

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Which Factors Are Causing a Surge in Market Growth?

The market is segmented based on

• Component
  • Platform
  • Service
• Deployment
  • Cloud
  • On-premises
  • Hybrid
• Business Segment
  • Large enterprises
  • SMBs
• End-user
  • BFSI
  • Healthcare
  • Retail and e?commerce
• Geography
  • North America
    • Canada
    • US
  • Europe
    • Germany
    • UK
    • France
  • APAC
    • China
    • India
    • Japan
    • South Korea
  • South America
    • Brazil
  • Middle East and Africa

According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

• Explosive proliferation and escalating complexity of artificial intelligence models
• Business imperative to scale AI and accelerate time to value
• Growing need for AI governance, risk management, and compliance

However, the market also witnesses some limitations, which are as follows:

• Severe and persistent talent gap in specialized MLOps skills
• Intrinsic complexity and fragmentation of MLOps toolchain
• High implementation costs and demonstrating clear return on investment

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Market Scope in MLOps Market Research Report

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Research Analysis Overview

The MLOps market encompasses tools and practices for managing the entire ML model lifecycle, including model registry for experiment reproducibility, feature engineering and data preprocessing, model selection and hyperparameter tuning, model evaluation and performance monitoring, alerting systems for error handling, log management, version control, and code quality. Additionally, it covers testing frameworks for deployment automation, rollback mechanisms, infrastructure management, capacity planning, data security, access management, compliance standards, scalability testing, stress testing, performance tuning, cost management, resource allocation, automation frameworks, integration testing, unit testing, and data validation.

Market Research Overview

The MLOps market is a segment of the global application software industry, focusing on machine learning operations. It encompasses model versioning, experiment tracking, feature store management, and continuous integration. Companies providing these solutions contribute to the market size, which is calculated based on their combined revenue. These businesses offer specialized software solutions for streamlining machine learning workflows and improving operational efficiency in data science teams. The MLOps market is a significant sub-segment of the broader application software market, which itself is a part of the IT software industry.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

Technavio Research
Jesse Maida
Media & Marketing Executive
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UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/