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Synergistic Rise Of Cloud Technologies Fuels Machine Learning As A Service (MLaaS) Market: A Key Driver Powering Machine Learning As A Service (MLaaS) Market Growth In 2025

05-21-2025 08:52 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Machine Learning As A Service (MLaaS)

Machine Learning As A Service (MLaaS)

The Machine Learning As A Service (MLaaS) Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the Projected Growth of the Machine Learning As A Service (MLaaS) Market?
In recent times, the market for machine learning as a service (MLaaS) has witnessed substantial growth. The size of the market is projected to escalate from $57.88 billion in 2024 to $79.23 billion in 2025, registering a compound annual growth rate (CAGR) of 36.9%. This growth during the historic period could be linked to factors such as the surge in big data, heightened adoption of machine learning, advancements in the field of deep learning, the rising prominence of data science and AI, and an increasing understanding of predictive analytics.

In the upcoming years, it is anticipated that the Machine Learning as a Service (MLaaS) market will undergo substantial expansion. The market is anticipated to surge to $278.65 billion by 2029, accelerating at a Compound Annual Growth Rate (CAGR) of 36.9%. This anticipated expansion during the forecast period can be attributed to the proliferation of industry-specific solutions, the growing understanding and usage of AI, the rolling out of autonomous systems, the incorporation of hybrid cloud deployments, as well as enhanced security and privacy characteristics. Key trends expected to characterize the forecast period include the emergence of vertical-specific machine learning platforms, the integration of AI in automation processes, increased access and use of machine learning (democratization), collaborative machine learning, and the growth of continuously learning systems.

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What Are the Different Machine Learning As A Service (MLaaS) Market Segments?
The machine learning as a service (MLaaS) market covered in this report is segmented -

1) By Component: Software Tools, Services
2) By Organization Size: Small And Medium Enterprises, Large Enterprises
3) By Application: marketing And Advertisement, Predictive Maintenance, Automated Network Management, Fraud Detection And Risk Management, Other Applications
4) End User: BFSI, IT And Telecom, Automotive, Healthcare, Aerospace And Defense, Retail, Government, Other End User

Subsegments:
1) By Software Tools: Data Preprocessing Tools, Machine Learning Algorithms And Frameworks, Model Training And Validation Tools, Deployment And Monitoring Tools, Visualization And Reporting Tools
2) By Services: Consulting And Advisory Services, Implementation And Integration Services, Custom Model Development Services, Training And Support Services, Managed Services And Maintenance

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What Are the Primary Drivers Shaping the Machine Learning As A Service (MLaaS) Market?
The growth of the Machine Learning as a Service (MLaaS) market is anticipated to be fueled by the increasing incorporation of cloud technologies. This refers to the unification of multiple cloud-based systems into a single entity or the conjunction of cloud-based systems with in-house systems. Machine Learning as a Service (MLaaS) is utilized by cloud technologies to provide users with accessible, scalable, and affordable machine learning capabilities, allowing them to utilize pre-trained models and tools for various applications, eliminating the necessity for extensive knowledge in machine learning or infrastructure management. For example, according to Eurostat, a government agency based in Luxembourg, in December 2023, 42.5% of EU enterprises procured cloud computing services, mostly for email, file storage, and office software, marking a 4.2 percentage point rise from 2021. Furthermore, in December 2022, the Augusta Free Press, a US-based news service, reported that global spending on digital transformation was around $1.85 trillion, marking a 16% increase from the previous year. As a result, the Machine Learning as a Service (MLaaS) market is being propelled by the growing integration of cloud technologies.

Which Companies Are Leading in the Machine Learning As A Service (MLaaS) Market?
Major companies operating in the machine learning as a service (MLaaS) market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, Meta Platforms Inc., Intel Corporation, International Business Machines Corporation, Oracle Corporation, Mitsubishi Electric Corporation, SAP SE, Hewlett Packard Enterprise Company, NVIDIA Corporation, Tata Consultancy Services Limited, Infosys Limited, Wipro Ltd., Fair Isaac Corporation, Databricks Inc., TIBCO Software Inc., Cyient Ltd., Dataiku Ltd., H2O.ai Inc., Iflowsoft Solutions Inc., BigML Inc., AscentCore, MonkeyLearn Inc., Sift Science Inc., Yottamine Analytics LLC

What Are the Major Trends Shaping the Machine Learning As A Service (MLaaS) Market?
Leading corporations in the machine learning as a service (MLaaS) marketplace are driving innovation with services such as Kubeflow as a service to make AI development more accessible. Kubeflow-as-a-Service (KFaaS) is a managed platform that enables users to harness the power of Kubeflow for their machine learning projects without having to worry about the underlying infrastructure. For example, in February 2023, the web hosting company based in the UK, Civo, unveiled its Kubeflow as a service. Users can fully utilize the computing capabilities of the service provider in a fully managed development environment provided by KFaaS providers like Civo KFaaS, without the burden of infrastructure management. KFaaS enhances the smooth workflow of machine learning projects by facilitating integration with popular machine learning tools and platforms such as TensorFlow, PyTorch, RStudio, Visual Studio Code, and Jupyter notebooks.

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What Are the Top Revenue-Generating Geographies in the Machine Learning As A Service (MLaaS) Market?
North America was the largest region in the machine learning as a service (MLaaS) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning as a service (MLaaS) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Machine Learning As A Service (MLaaS) Market?
2. What is the CAGR expected in the Machine Learning As A Service (MLaaS) Market?
3. What Are the Key Innovations Transforming the Machine Learning As A Service (MLaaS) Industry?
4. Which Region Is Leading the Machine Learning As A Service (MLaaS) Market?

Why This Report Matters:

Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.

Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.

Efficient Research: Quickly identify market growth, leading players, and major segments.

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