Machine Learning as a Services(MLAAS) Market Size
| Study Period | 2019 - 2029 |
| Market Size (2024) | USD 71.34 Billion |
| Market Size (2029) | USD 309.37 Billion |
| CAGR (2024 - 2029) | 34.10 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
Major Players
*Disclaimer: Major Players sorted in no particular order |
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Machine Learning as a Services(MLAAS) Market Analysis
The Machine Learning As A Service Market size is estimated at USD 71.34 billion in 2024, and is expected to reach USD 309.37 billion by 2029, growing at a CAGR of 34.10% during the forecast period (2024-2029).
Machine learning (ML) is a subfield of artificial intelligence (AI) that enables training algorithms to make classifications or predictions through statistical methods, uncovering critical insights within data mining projects. These insights drive decision-making within applications and businesses, ideally impacting key growth metrics. Since it revolves around algorithms, model complexity, and computational complexity, it requires skilled professionals to develop these solutions.
- The machine learning as a service (MLaaS) market will likely witness high growth over the forecast period as MLaaS algorithms are used to find patterns in the data, and users don't have to worry about the actual calculations. MLaaS is the only full-stack AI platform combining mobile applications, enterprise intelligence, industrial automation, and control systems.
- With advancements in data science and artificial intelligence, the performance of machine learning accelerated at a rapid pace. Companies are identifying the potential of this technology, and therefore, the adoption rate of the same is expected to increase over the forecast period. Companies offer machine learning solutions on a subscription-based model, making it easier for consumers to use this technology. In addition, it provides flexibility on a pay-as-you-use basis.
- Moreover, MLaaS is widely used in fraud detection, supply chain optimization, risk analytics, manufacturing, and others. Users can freely build internal infrastructure from scratch, making managing and storing your data easier.
- The ML startups are receiving fundings millions of dollars of ML investment. For instance, In June 2022, Inflection AI secured one of the largest artificial machine learning funding rounds, totaling USD 225 million. It is referred to as a machine learning and AI startup. It has obtained USD 225 million in equity financing from venture capitalists. This ML investment is expected to improve machine learning, allowing for intuitive human-computer interfaces in the near future.
- Machine learning-as-a-service leverages deep learning techniques for predictive analytics to enhance decision-making. However, using MLaaS introduces security challenges for ML model owners and data privacy challenges for data owners. Data owners are concerned about the privacy and safety of their data on MLaaS platforms. In contrast, MLaaS platform owners worry that their models may be stolen by adversaries who pose as clients.
- The COVID-19 pandemic caused many organizations to accelerate their migrations to public cloud solutions since cloud service elasticity can meet unexpected spikes in service demand. Migrations to the cloud helped companies reinvent the way they conduct their businesses during the time of COVID-19. The need for AI services has grown, and many cloud providers offer AIaaS and MLaaS.
Machine Learning as a Services(MLAAS) Market Trends
Increasing Adoption of IoT and Automation is Expected to Drive the Market Growth
- IoT operations ensure that thousands or more devices run correctly and safely on an enterprise network and that the data being collected is timely and accurate. While sophisticated back-end analytics engines work on the major bit of data stream processing, ensuring data quality is often left to obsolete methodologies. Some IoT platform vendors are baking machine learning technology to boost their operations management capabilities to ensure rein in sprawling IoT infrastructures.
- Machine learning may demystify the hidden patterns in IoT data by analyzing significant volumes of data utilizing sophisticated algorithms. ML inference may supplement or replace manual processes with automated systems using statistically derived actions in critical processes. Solutions built on ML automate the IoT data modeling process, thus, removing the circuitous and labor-intensive activities of model selection, coding, and validation.
- Small businesses adopting IoT may significantly save on the time-consuming machine learning process. MLaaS vendors may conduct more queries more quickly, providing more types of analysis to get more actionable information from vast caches of data generated by multiple devices in the IoT network.
- As per Zebra's Manufacturing Vision Study, smart asset monitoring systems based on IoT and RFID were predicted to outperform traditional, spreadsheet-based approaches by 2022. According to research conducted by Microsoft Corporation, 85% of businesses have at least one IIoT use case project. This figure was expected to rise, as 94% of respondents said they would pursue IIoT initiatives in 2021. These instances may create opportunities for MLaaS vendors in the near future.
- The increasing use of cloud-based technology in many organizations benefits data transfer due to the ease with which these connections may be formed. This allows every employee in an organization to access data, increasing a company's cost efficiency. In April 2023, Oracle Corporation and GitLab Inc. announced the availability of a new offering that expands ML and AI functionalities. Customers can run AI and ML workloads with GPU-enabled GitLab runners on Oracle Cloud Infrastructure (OCI) and get access to deploy cloud services wherever needed, including on-premises and multi-cloud environments.
North America is Expected to Hold Significant Market Share
- North America is expected to hold a significant share in the market owing to the robust innovation ecosystem, fueled by strategic federal investments into advanced technology, complemented by the presence of visionary scientists and entrepreneurs coming together from globally renowned research institutions, which has propelled the development of MLaaS.
- For instance, in May 2023, The U.S. National Science Foundation (NSF), in collaboration with higher education institutions, other federal agencies, and other stakeholders, announced to invest USD 140 million to establish seven new National Artificial Intelligence Research Institutes (AI) institutes. Through this investment, the government aims to promote AI systems and technologies and develop a diverse AI workforce in the United States to advance a cohesive approach to AI-related opportunities and risks. Such investments by the regional government will create new growth opportunities for the studied market.
- Because of remarkable growth in countries such as Canada and the United States, the North American region accounts for most of Mlaas business. These countries are home to a wide diversity of small and large start-ups. As a result, the market for machine learning as a service is expanding in North America. Regarding technological breakthroughs and use, North America is the fastest-growing region worldwide in the machine learning as a service market. It has the infrastructure and funds to invest in machine learning as a service. Furthermore, increased defense spending and technical improvements in the telecommunications industry will likely boost market growth throughout the forecast period.
- The region also witnessed a significant proliferation of 5G, IoT, and connected devices. As a result, communications service providers (CSPs) need to manage an ever-growing complexity efficiently through virtualization, network slicing, new use cases, and service requirements. This is expected to drive MLaaS solutions as traditional network and service management approaches are no longer sustainable.
- Moreover, major technology firms in the region, such as Microsoft, Google, Amazon, and IBM, have stepped up as major players in the ML-as-a-service race. Because each of the companies has a sizeable public cloud infrastructure and ML platforms, this allows the companies to make machine learning-as-a-service a reality for those looking to use AI for everything ranging from customer service to robotic process automation, marketing, analytics, predictive maintenance, etc., to assist in training the AI date models being deployed.
- The region's ML marketplace is changing due to the cloud, and serverless computing allows developers to get ML applications up and running quickly. Additionally, the prime driver of the ML-as-a-service business is information services. The most significant change serverless computing has brought in is eliminating the need to scale physical database hardware.
Machine Learning as a Services(MLAAS) Industry Overview
The machine Learning as a Service Market is highly fragmented, with the presence of major players like Microsoft Corporation, IBM Corporation, Google LLC, SAS Institute Inc., and Fair Isaac Corporation (FICO). Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.
- May 2023 - IBM Watsonx, a new AI and data platform released that would enable enterprises to scale and accelerate the impact of the advanced AI with trusted data. Enterprises turning to AI need access to a full technology stack that would enable them to train, tune, and deploy AI models, including foundation models and machine learning capabilities, across their companies with trusted data, speed, and governance.
- May 2023 - NVIDIA announced that it is integrating its NVIDIA AI Enterpris NVIDIA AI Enterprise software into Microsoft's Azure Machine Learning to assist enterprises in accelerating their AI initiatives. The integration would create a secure, enterprise-ready platform that enables Azure customers globally to quickly build, deploy, and manage customized applications using the more than 100 NVIDIA AI frameworks and tools that come fully supported in NVIDIA AI Enterprise, the software layer of NVIDIA's AI platform.
Machine Learning as a Services(MLAAS) Market Leaders
Microsoft Corporation
IBM Corporation
Google LLC
SAS Institute Inc.
Fair Isaac Corporation (FICO)
*Disclaimer: Major Players sorted in no particular order
Machine Learning as a Services(MLAAS) Market News
- December 2023 - Union Bank of India, one of India's leading public sector banks, collaborated with Accenture to design and develop a scalable and secure enterprise data lake platform with advanced analytics and reporting capabilities. This program would boost the bank's operational efficiency and enhance its ability to provide customer-centric banking services and manage risk. Using machine learning, predictive analytics, and artificial intelligence, this platform would leverage structured and unstructured data from within the bank and external sources to generate business-relevant insights.
- June 2023 - Zain Tech, the one-stop digital solutions powerhouse of Zain Group, signed a memorandum of understanding (MoU) with Mastercard to create unique, data-driven, and innovative solutions for organizations across the Middle East and North Africa (MENA). The partnership would help streamline clients’ operations, enhancing productivity and cost savings.
Machine Learning as a Services(MLAAS) Market Report - Table of Contents
1. INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
4.2.1 Bargaining Power of Buyers
4.2.2 Bargaining Power of Suppliers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Industry Value Chain Analysis
4.4 Assessment of Impact of COVID-19 on the Market
5. MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Increasing Adoption of IoT and Automation
5.1.2 Increasing Adoption of Cloud-based Services
5.2 Market Restraints
5.2.1 Privacy and Data Security Concerns
5.2.2 Need for Skilled Professionals
6. MARKET SEGMENTATION
6.1 Application
6.1.1 Marketing and Advertisement
6.1.2 Predictive Maintenance
6.1.3 Automated Network Management
6.1.4 Fraud Detection and Risk Analytics
6.1.5 Other Applications (NLP, Sentiment Analysis, and Computer Vision)
6.2 Organization Size
6.2.1 Small and Medium Enterprises
6.2.2 Large Enterprises
6.3 End-User
6.3.1 IT and Telecom
6.3.2 Automotive
6.3.3 Healthcare
6.3.4 Aerospace and Defense
6.3.5 Retail
6.3.6 Government
6.3.7 BFSI
6.3.8 Other End-Users (Education, Media and Entertainment, Agriculture, and Trading Market Place)
6.4 Geography
6.4.1 North America
6.4.2 Europe
6.4.3 Asia-Pacific
6.4.4 Rest of the World
7. COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Microsoft Corporation
7.1.2 IBM Corporation
7.1.3 Google LLC
7.1.4 SAS Institute Inc.
7.1.5 Fair Isaac Corporation (FICO)
7.1.6 Hewlett Packard Enterprise Company
7.1.7 Yottamine Analytics LLC
7.1.8 Amazon Web Services Inc.
7.1.9 BigML Inc.
7.1.10 Iflowsoft Solutions Inc.
7.1.11 Monkeylearn Inc.
7.1.12 Sift Science Inc.
7.1.13 H2O.ai Inc.
- *List Not Exhaustive
8. INVESTMENT ANALYSIS
9. FUTURE OF THE MARKET
Machine Learning as a Services(MLAAS) Industry Segmentation
Machine learning-as-a-service (MLaaS) is a broad range of services that offer machine learning (ML) tools as a feature of cloud computing services. MLaaS suppliers offer tools, including APIs, data visualization, natural language processing, predictive analytics, and face recognition. The supplier's cloud infrastructure handles all the actual computation.
The study provides an in-depth perspective of the market segments based on application, organization size, end user, and geography (North America, Europe, Asia-Pacific, and Rest of the World). The market study also covers the impact of COVID-19 and how the market reacted during the pandemic. The market sizes and forecasts are provided in terms of value (USD) for all the above segments.
| Application | |
| Marketing and Advertisement | |
| Predictive Maintenance | |
| Automated Network Management | |
| Fraud Detection and Risk Analytics | |
| Other Applications (NLP, Sentiment Analysis, and Computer Vision) |
| Organization Size | |
| Small and Medium Enterprises | |
| Large Enterprises |
| End-User | |
| IT and Telecom | |
| Automotive | |
| Healthcare | |
| Aerospace and Defense | |
| Retail | |
| Government | |
| BFSI | |
| Other End-Users (Education, Media and Entertainment, Agriculture, and Trading Market Place) |
| Geography | |
| North America | |
| Europe | |
| Asia-Pacific | |
| Rest of the World |
Machine Learning as a Services(MLAAS) Market Research FAQs
How big is the Machine Learning As A Service Market?
The Machine Learning As A Service Market size is expected to reach USD 71.34 billion in 2024 and grow at a CAGR of 34.10% to reach USD 309.37 billion by 2029.
What is the current Machine Learning As A Service Market size?
In 2024, the Machine Learning As A Service Market size is expected to reach USD 71.34 billion.
Who are the key players in Machine Learning As A Service Market?
Microsoft Corporation, IBM Corporation, Google LLC, SAS Institute Inc. and Fair Isaac Corporation (FICO) are the major companies operating in the Machine Learning As A Service Market.
Which is the fastest growing region in Machine Learning As A Service Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in Machine Learning As A Service Market?
In 2024, the North America accounts for the largest market share in Machine Learning As A Service Market.
What years does this Machine Learning As A Service Market cover, and what was the market size in 2023?
In 2023, the Machine Learning As A Service Market size was estimated at USD 47.01 billion. The report covers the Machine Learning As A Service Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Machine Learning As A Service Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
Machine Learning as a Service Industry Report
Statistics for the 2024 Machine Learning as a Service market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Machine Learning as a Service analysis includes a market forecast outlook to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.
