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Key Trends Shaping the Future Machine Learning As A Service (MLaaS) Market From 2025-2034: Empowering AI Development With Kubeflow-As-A-Service (KFaaS) Offerings From Leading MLaaS Companies

03-13-2025 05:26 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Machine Learning As A Service MLaaS Market

Machine Learning As A Service MLaaS Market

Which drivers are expected to have the greatest impact on the over the machine learning as a service (mlaas) market's growth?
The growing incorporation of cloud technologies is anticipated to fuel the expansion of the machine learning as a service (MLaaS) market in the future. This incorporation involves the amalgamation of different cloud-based systems into one seamless unit or linking these systems with on-premises systems. MLaaS is a service through cloud technologies that provides users with accessible, scalable, and cost-efficient machine learning abilities, allowing them to utilise pre-designed models and tools for diverse applications without the prerequisite for in-depth machine learning or infrastructure management expertise. For example, in December 2023, as reported by Eurostat, a government agency in Luxembourg, 42.5% of EU enterprises procured cloud computing services chiefly for email, file storage, and office software. This figure marked a 4.2 percentage point rise from 2021. Furthermore, Augusta Free Press, a US-based news service provider, reported in December 2022 that global expenditure on digital transformation had reached roughly $1.85 trillion, indicating a 16% escalation from the previous year. Hence, the escalating incorporation of cloud technologies is stimulating the expansion of the machine learning as a service (MLaaS) market.

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What is the future CAGR of the machine learning as a service (mlaas) market, and how will it impact industry expansion?
The market size for Machine Learning as a Service (MLaaS) has been on a steep escalation over recent years. The sector is projected to witness an increase from $57.88 billion in 2024 to $79.23 billion in 2025, indicating a Compound Annual Growth Rate (CAGR) of 36.9%. Factors such as the surge in Big Data, wider acceptance of machine learning, progress in deep learning, the emergence of data science and AI, and a heightened awareness of predictive analytics are credited for this growth in the historic period.

In the coming years, the machine learning as a service (MLaaS) market is projected to witness remarkable growth, expanding to a value of $278.65 billion by 2029, at a compound annual growth rate (CAGR) of 36.9%. The surge anticipated during the forecast period is due to proliferating industry-specific offerings, the emergence of explainable AI, the broadening of autonomous systems, increased reliance on hybrid cloud environments, and improved data security and privacy aspects. Notable trends predicted to shape the forecast period encompass industry-targeted machine learning platforms, AI-powered automation, broadening access to machine learning, joint machine learning, and progressive learning systems.

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What are the most significant trends transforming the machine learning as a service (mlaas) market today?
Prominent players in the Machine Learning as a Service (MLaaS) marketplace are introducing new services like Kubeflow as a service in order to make AI development more accessible. Kubeflow-as-a-Service (KFaaS) is a supervised environment that enables users to harness the potential of Kubeflow for Machine Learning (ML) undertakings while avoiding the complexities of managing the base infrastructure. For example, in February 2023, Civo, a web hosting firm based in the UK, introduced Kubeflow as a service. Users, through services like Civo KFaaS, which offer a comprehensively managed development setting, can exploit the scale of the service provider's computing abilities without getting immersed in the intricacies of infrastructure management. These KFaaS services ensure a seamless workflow for ML initiatives by integrating with established ML tools and platforms such as TensorFlow, PyTorch, RStudio, Visual Studio Code, and Jupyter notebooks.

Which key market segments comprise the machine learning as a service (mlaas) market and drive its revenue growth?
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 regions are at the forefront of machine learning as a service (mlaas) market expansion?
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.

Who are the leading players fueling growth 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

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What Is Covered In The Machine Learning As A Service (MLaaS) Global Market Report?

•Market Size Forecast: Examine the machine learning as a service (mlaas) market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the machine learning as a service (mlaas) market for a structured understanding.
•Key Players Overview: Analyze major players in the machine learning as a service (mlaas) market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the machine learning as a service (mlaas) market.
•Segment Contributions: Evaluate how different segments drive overall growth in the machine learning as a service (mlaas) market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the machine learning as a service (mlaas) market.
•Industry Challenges: Identify potential risks and obstacles affecting the machine learning as a service (mlaas) market.
•Competitive Landscape: Review strategic developments in the machine learning as a service (mlaas) market, including expansions, agreements, and new product launches.

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