Global MLOps Market Size, Share and Growth Analysis Report - Forecast Trends and Outlook (2024-2032)

Global MLOps Market Growth

By 2030, machine learning is expected to add nearly USD 13 trillion of value to the global economy by successfully enabling workers across all industries to improve their output. As per IBM, 70% of all AI workloads are currently built on a serverless programming model, which has necessitated the adoption of a DevOps culture. This is expected to favourably shape the MLOps market dynamics over the forecast period.

Conventionally, the development and implementation of AI solutions take 9-12 months, which puts large businesses behind rapidly evolving market dynamics. However, companies using MLOps have reportedly taken their projects live within 2-12 weeks of the conception of their first idea. Hence, the MLOps market development is expected to be driven by the rising focus of companies to increase productivity and speed without increasing technical debt.

The market analysis suggests that large organisations shelve 80% of their AI solutions while under development since they cease to provide any value. However, companies using MLOps practices increase value realisation by 60% and shelve a 30% lesser number of models. This can be attributed to the integration of efficacy testing and continuous monitoring models into their workflows, thereby driving the MLOps market growth.

Key Trends and Developments

Global MLOps Market Trends

Earlier, fraud analysts used to perform manual analysis on fraudulent transactions to build data protection rules. However, MLOps has eliminated this need in the BFSI industry, which has favourably impacted the MLOPs market dynamics. The increasing incidence of fraud incidents is expected to drive the growth of MLOps worldwide, especially in North America.

As per the US Federal Trade Commission, over 2.8 million fraud complaints were registered by American consumers, most of whom were victims of imposter scams. In 2021, it resulted in a loss of nearly USD 2.3 million to consumers, which increased from USD 1.2 billion in 2020. Online shopping fraud also increased, resulting in a loss of USD 392 million in 2021, up from USD 246 million in 2020. This is expected to facilitate the MLOPs market development over the forecast period.

Global MLOps Industry Segmentation

Global MLOps Market Share

Based on region, the market is segmented into North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. Over the forecast period of 2024-32, North America is estimated to grow at a CAGR of 34.8% due to the increasing adoption of AI models for upscaling business productivity and efficiency. The MLOps market revenue is rising, as MLOps platforms enable businesses to streamline the machine learning lifecycle, which enables faster deployment of data science models.

Leading Companies in the Global MLOps Market

Major players are expected to make significant investments towards adopting MLOps, thereby increasing the MLOps market revenue.

Akira AI

Akira AI was founded in 2023 and is headquartered in Dubai, UAE. It is a data infrastructure company which specialises in providing MLOps, LLMOps, ModelOps, and other platforms for responsible AI development.

Dataiku

Dataiku was founded in 2013 and is headquartered in New York, United States. It is a software development comp...

Cloudera, Inc.

Cloudera, Inc. was founded in 2008 and is headquartered in California, United States. It is a software develop...

DataRobot, Inc.

DataRobot, Inc. was founded in 2012 and is headquartered in Massachusetts, United States. It specialises in pr...

*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*

Other players included in the MLOps market report are International Business Machines Corporation, Microsoft Corporation, Alphabet Inc., Amazon Web Services, Inc., HP Development Company, L.P., and Alteryx, Inc., among others.