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Asia-Pacific Poised for Highest Growth in MLOps Market During Forecast Period - 2023-2032

An increase in the adoption of MLOps technology across enterprises to enhance operation & productivity strengthens the growth of the market for the future.

PORTLAND, PORTLAND, OR, UNITED STATES, December 11, 2023 /EINPresswire.com/ -- The MLOps industry, as reported, achieved a revenue of $1.4 billion in 2022, with a projected growth to $37.4 billion by 2032, indicating a remarkable CAGR of 39.3% from 2023 to 2032.

The market is experiencing substantial expansion due to the widespread digital and internet penetration worldwide. Furthermore, the rising adoption of MLOps technology by enterprises to enhance operational efficiency and productivity is contributing significantly to the market's future growth. The healthcare sector, in particular, is anticipated to offer lucrative opportunities, thanks to increased investments during the forecast period.

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Despite these promising trends, challenges such as inaccessible data, concerns about data security, inflexible business models, and a shortage of engineering skills pose obstacles to the market's growth.

MLOps, short for machine learning operations, encompasses a collection of practices and tools designed to facilitate the comprehensive management and enhancement of the entire machine learning life cycle within organizations. This encompasses tasks ranging from data preparation and model development to deployment and ongoing monitoring. The overarching objective of MLOps is to empower organizations to seamlessly deploy machine learning models in production environments, ensuring sustained levels of performance and accuracy.

The incorporation of AI and ML into business applications is no longer exclusive to research institutions or tech giants; it has become a fundamental aspect of any contemporary business. Despite this, many organizations struggle to effectively deploy AI-based applications, particularly in the transition from data-science models tested on sample or historical data to interactive applications that can handle real-world, large-scale data. To tackle these challenges, a new engineering practice known as MLOps has emerged.

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MLOps integrates AI/ML practices with DevOps methodologies, aiming to establish a continuous development and delivery (CI/CD) pipeline for data and ML-intensive applications. In the upcoming year, 2023, we anticipate a widespread adoption of AI and MLOps across diverse organizations, resulting in reduced time to market for AI projects. Additionally, organizations leveraging online feature stores will facilitate the implementation of real-time use cases.

In 2022, the MLOps market witnessed the IT and telecom sector's dominance, a trend expected to persist in the forecast period. This industry's embrace of MLOps facilitates informed decision-making for sustained success. Notably, the healthcare sector anticipates the highest growth market share in the coming year. MLOps adoption proves instrumental for healthcare companies grappling with security, regulatory compliance, financial considerations, and standards during their digital transformation journey.

Geographically, North America claimed the lion's share of the MLOps market in 2022. The region's steady adoption of MLOps to meet growing business demands and enhance customer experiences presents lucrative opportunities. Additionally, North America is poised for high growth, with biopharmaceutical companies increasingly leveraging MLOps for research, drug discovery, and clinical trials. However, the Asia-Pacific region is expected to exhibit the highest growth during the forecast period. The surge in advanced technology adoption, such as AI/ML, big data, and others, coupled with a push towards digitalization in business operations, propels MLOps market growth in the Asia-Pacific region.

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The COVID-19 pandemic had a positive impact on the MLOps market. Companies worldwide invested in advanced technologies like AI, big data, DevOps, and machine learning due to increased digitalization adoption. This led to lucrative opportunities, especially in solutions for managing healthcare facilities. In the manufacturing sector, grappling with supply chain disruptions and workforce shortages, reliance on data and analytics for competitiveness drove demand for MLOps solutions.

Furthermore, China is poised for significant AI growth in the next decade, spanning sectors like automotive, transportation, logistics, manufacturing, and healthcare. Notably, a June 2023 online meetup brought together industry leaders and experts from NVIDIA, Alibaba, Megvii, Lenovo, AsiaInfo, xFusion, among others. This collaborative platform fostered knowledge sharing and encouraged advancements in cloud-native technologies for MLOps.

Leading Market Players: -

• Akira AI
• Amazon Web Services, Inc.
• Cloudera, Inc.
• DataRobot, Inc.
• Google LLC
• IBM Corporation
• Databricks, Inc.
• GAVS Technologies
• Microsoft Corporation
• Alteryx

The report provides a detailed analysis of these key players in the MLOps market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.

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Similar Reports:

1. South Korea MLOps Market

2. China MLOps Market

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