Machine Learning Operation Technology Market was valued at USD 5.3 Billion in 2022 and is projected to reach USD 22.7 Billion by 2030, growing at a CAGR of 19.7% from 2024 to 2030.
The global Machine Learning Operations (MLOps) technology market was valued at approximately USD 900 million in 2022 and is expected to experience significant growth over the coming years. Driven by the increasing adoption of AI and machine learning across various industries, the market is forecasted to expand at a compound annual growth rate (CAGR) of 39.7% from 2023 to 2030. With machine learning becoming more critical to data-driven decision-making, companies are investing heavily in automating the entire machine learning lifecycle, from data preparation to deployment and monitoring, resulting in heightened demand for MLOps platforms and tools. In addition, sectors such as finance, healthcare, and retail are among the early adopters of MLOps technologies, leveraging the potential for enhanced productivity, cost savings, and faster deployment of machine learning models.The growing emphasis on efficient machine learning model management and scalability is further fueling the market's expansion. Key opportunities exist in integrating MLOps solutions with cloud platforms to enhance accessibility and streamline deployment processes. Emerging trends, such as the increasing adoption of containerization and microservices architectures, are also contributing to the scalability and flexibility of MLOps tools, driving further market demand. In addition, small and medium-sized enterprises (SMEs) are expected to play a significant role in the growth of this market as they increasingly adopt machine learning and AI technologies to remain competitive. The development of low-code/no-code platforms is also creating opportunities for organizations with limited technical resources to harness the power of machine learning, fueling further market expansion.
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Microsoft
Amazon
IBM
Dataiku
Lguazio
Databricks
DataRobot
Inc.
Cloudera
Modzy
Algorithmia
HPE
Valohai
Allegro AI
Comet
FloydHub
Paperpace
Cnvrg.io
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global Machine Learning Operation Technology Market
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
Based on Types the Market is categorized into Below types that held the largest Machine Learning Operation Technology market share In 2023.
On-premise
Cloud
Global (United States, Global and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global Machine Learning Operation Technology Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global Machine Learning Operation Technology Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global Machine Learning Operation Technology Market, By Type
6. Global Machine Learning Operation Technology Market, By Application
7. Global Machine Learning Operation Technology Market, By Geography
Global
Europe
Asia Pacific
Rest of the World
8. Global Machine Learning Operation Technology Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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