Synergistic Rise Of Cloud Technologies Fuels Machine Learning As A Service (MLaaS) Market Emerges as a Core Driver of the Machine Learning As A Service (MLaaS) Market in 2025

Use code ONLINE20 to get 20% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.

How Large Will the Machine Learning As A Service (MLaaS) Market Size By 2025?
The market size of Machine Learning as a Service (MLaaS) has seen a staggering growth in the past few years. The market, which is predicted to be worth $57.88 billion in 2024, is forecasted to reach a hefty sum of $79.22 billion in 2025. This impressive growth, expected at a compound annual growth rate (CAGR) of 36.9%, is largely due to factors such as the expansion of big data, the rising adoption rates of machine learning, and advancements made in deep learning. Other contributing factors include the growing field of data science and AI, coupled with an increase in the awareness of the value of predictive analytics.

How Big Is the Machine Learning As A Service (MLaaS) Market Size Expected to Grow by 2029?
Expectations are high for the machine learning as a service (mlaas) market, with experts predicting substantial growth in the coming years. By 2029, the market is projected to reach the $278 billion mark, growing at a compound annual growth rate (CAGR) of 36.9%. This forecasted growth hinges on several factors such as the development of industry-specific solutions, the emergence of explainable AI, the broadening scope of autonomous systems, the adoption of hybrid cloud implementations, and increased security and privacy measures. The market trends to watch in the forecast period are vertical-focused machine learning platforms, automation enhanced by AI, the democratization of machine learning, collaborative machine learning initiatives, and continuous learning systems.

View the full report here:
https://www.thebusinessresearchcompany.com/report/machine-learning-as-a-service-mlaas-global-market-report

Which Key Market Drivers Powering Machine Learning As A Service (MLaaS) Market Expansion and Growth?
The anticipated advancement of the machine learning as a service (MLaaS) market is fuelled by the increasing integration of cloud technologies. This amalgamation involves merging various cloud-based systems into a unified entity or forming connections between cloud and onsite systems. Machine learning as a service (MLaaS) is utilized in cloud technologies to offer accessible, scalable, and affordable machine learning features, aiding users in exploiting pre-trained models and tools for various applications, without requiring intensive machine learning skills or infrastructure management expertise. As revealed by Eurostat, a Luxembourg-based government institute, 42.5% of EU enterprises procured cloud computing services in December 2023, primarily for email, file storage, and office software, marking a 4.2 percent increase from 2021. Furthermore, as reported by the Augusta Free Press, US-based news entity, in December 2022, the worldwide expenditure on digital transformation stood at about $1.85 trillion, signifying a growth of 16% from the prior year. Consequently, the integrated increase of cloud technologies is catalyzing the development of the machine learning as a service (MLaaS) market.

Get your free sample here:
https://www.thebusinessresearchcompany.com/sample.aspx?id=13873&type=smp

Which Fast-Growing Trends Are Poised to Disrupt the Machine Learning As A Service (MLaaS) Market?
Leading businesses within the Machine Learning as a Service (MLaaS) market are pioneering groundbreaking services such as Kubeflow, with the goal of bringing AI development to the masses. Kubeflow-as-a-Service (KFaaS) offers a controlled setting wherein users can harness Kubeflow's potential for their ML endeavors without the burden of managing underlying infrastructure. For instance, in February 2023, Civo, a web hosting firm situated in the UK, introduced their Kubeflow service. By offering a comprehensively managed development environment, Civo KFaaS and similar providers allow users to harness the power of the provider's computational abilities at scale, bypassing the need for infrastructure management. Comprehensive integration with leading ML tools and platforms such as TensorFlow, PyTorch, RStudio, Visual Studio Code, and Jupyter notebooks, ensures a seamless workflow for ML projects with KFaaS.

What Are the Emerging Segments in the Machine Learning As A Service (MLaaS) Market?
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

Tailor your insights and customize the full report here:
https://www.thebusinessresearchcompany.com/customise?id=13873&type=smp

Who Are the Global Leaders 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

Which are the Top Profitable Regional Markets for the Machine Learning As A Service (MLaaS) Industry?
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.

Purchase the full report today:
https://www.thebusinessresearchcompany.com/purchaseoptions.aspx?id=13873

This Report Supports:
1.Business Leaders & Investors - To identify growth opportunities, assess risks, and guide strategic decisions.
2.Manufacturers & Suppliers - To understand market trends, customer demand, and competitive positioning.
3.Policy Makers & Regulators - To track industry developments and align regulatory frameworks.
4.Consultants & Analysts - To support market entry, expansion strategies, and client advisory work.

Connect with us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company,
Twitter: https://twitter.com/tbrc_info,
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ.

Contact Us
Europe: +44 7882 955267,
Asia: +91 88972 63534,
Americas: +1 310-496-7795 or
Email: mailto:info@tbrc.info

Learn More About The Business Research Company
With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

This release was published on openPR.