Machine Learning-as-a-Service Market to Experience Significant Growth by 2030

1. Market Research Report EXCLUSIVE EDITION Global Machine Learning- as-a-Service Market Research Report Global Industry Analysis, Forecast and Trends, 2022-2030 © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

2. Global Machine Learning-as-a-Service Market © 2020 Statsville Consulting Private Limited Market Statsville Group (MSG) A part of Statsville Consulting Private Limited American Office American Office – 416, East Standsberry Street, Perkins, Oklahoma 74059, USA EMEA EMEA– 1165 Budapest 16 Diósy Lajos u. 24., Europe Asia Asia- -Pacific Office Pacific Office – F-178 Subhash Marg C Scheme, Ashok Nagar, Jaipur, Rajasthan, 302001 www.marketstatsville.com Disclaimer Disclaimer: : Any information and/or material provided by Statsville Consulting Private Limited, including any and all the analysis and/or research from Market Statsville Group (MSG), is offered to a selected group of customers in response to orders for such information, material, analysis, and/or research. As a customer of Statsville Consulting, you acknowledge that our information, material, and/or services are for your internal use only, and not for any external use and/or dissemination, or general publication, and/or disclosure to any third parties. Any and all the information and/or material provided by Statsville Consulting are based on primary interviews and/or secondary research, and are, therefore, subject to fluctuation and variance. Statsville Consulting takes no responsibility for any incorrect information and/or material supplied to us by sources we rely on, and no part of our analysis or research may be given, lent, resold, or disclosed to any third parties, including non-customers, without explicit or written permission from Statsville Consulting. Unauthorized reproduction and/or transmission of our information, material, analysis, and/or research in any form and by any means, including photocopying, mechanical/electronic recording,or otherwise, without the explicit and written permission of Statsville Consulting, is expressly and clearly prohibited. Any use of the information, material, analysis, and/or research provided by Statsville Consulting is at your sole risk; you acknowledge that the information, material, analysis, and/or research is provided “as is” and that Statsville Consulting provides no warranty of any kind, express or implied, with regard to the information, material, analysis, and/or research, including but not limited to, merchantability and fitness for any purpose and/or use. At the end, Statsville Consulting will be responsiblefor the final decision of any action. © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

3. ABOUT MARKET STATSVILLE GROUP (MSG) Market Statsville Group (MSG) partners with companies and society to confront their essential risks and challenges to capture the enormous opportunities for them. MSG was initiated its working in 2017, and since then, the brand is moving to become a pioneer in business advisory and market research services. Market Statsville is the leading market research and strategy builder with the depth and breadth of solutions that perfectly suit your every need. MSG provides solutions in a wide range of industry verticals in the form of market sizing, analysis, and incisive business insights. MSG experienced research analysts are proficient at digging deep and providing a variety of customizable data that help you make decisions with clarity, confidence, and impact. Market Statsville is your global data intelligence partner for reliable market research data, data gathering, and analytical services. MSG also has an extensive network of top-flight domestic and global research personals around the world, enabling us to provide high-quality worldwide research solutions that cater to a well-established company, government organizations, or a startup. MSG's clients have the authority to work directly with one or more of our researchers to gather the most useful data knowledge and analytical plan to formulate it in the actual practice. Market Statsville Group believes that to succeed, companies or individuals must blend digital and human capabilities most efficiently. MSG diverse and experienced global team of business consultants and market researchers will ensure the valuable reports for our clients through digging in-depth market information and functional expertise to continuously spark the changes and real-time valuation of variation in the market/industry. MSG works in a uniquely collaborative model throughout the business process across the globe to assist the client's company with the most accurate information that they are aiming for in the reports. © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

4. RESEARCH PROCESS Our research is an optimum culmination of secondary and primary research, with the latter playing a major role. We also have an in-house repository and access to a number of external regional and global paid databases to help address specific requirements of our clients. The research process begins with a holistic secondary research, followed by expert interviews. The information gathered is then comprehensively analyzed by our highly experienced in-house research panel © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

5. Machine Learning-as-a-Service Market 2022: Industry Size, Regions, Emerging Trends, Growth Insights, Opportunities, and Forecast By 2030 Machine Learning-as-a-Service Market by Application (Marketing and Advertisement, Predictive Maintenance), by Organization Size (Small and Medium Enterprises and Large Enterprises), by End-Users, by Region – Global Share and Forecast to 2030 Description Description he market size of the machine learning-as-a-service (MLaaS) was USD 2.2 billion in 2021. It is estimated to reach USD 32.0 billion by 2030, registering a CAGR of 39.8% from 2022-2030. With advancements in data science and artificial intelligence, the performance of machine learning accelerated at a rapid pace. Companies are beginning to recognize the potential of this technology, and as a result, adoption rates are expected to rise over the forecast period. Machine learning solutions are available on a subscription basis, making it easier for consumers to access this technology. Furthermore, it offers pay-as-you-go flexibility. Microservices offered by major cloud computing firms like Amazon Web Services, Microsoft Azure, and Google Cloud Platform are examples of MLaaS products. Natural language processing, computer vision, and general machine learning algorithms are commonly included in these solutions. Moreover, the continuous evolution of these service offerings has made them cost-effective and expanded their application across multiple end-user industries. AWS has continually added new capabilities to Amazon SageMaker since its launch. © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

6. The added features included Amazon SageMaker Ground Truth which helps developers build highly accurate annotated training datasets. The company also added SageMaker RL, which helps professionals use a powerful reinforcement learning technique. Get Full PDF Sample Copy of Report:https://www.marketstatsville.com/request-sample/machine-learning-as- a-service Global Machine Learning-as-a-Service Market Definition Machine learning as a service is an array of services that provide machine learning tools as part of cloud computing services. MLaaS helps the clients benefit from machine learning without the cognate time, cost, and risk of establishing an in-house internal machine learning team. Infrastructural concerns such as data pre-processing, model evaluation, model training, and ultimately, predictions can be mitigated through MLaaS. Machine learning, a subfield of artificial intelligence in its most straightforward description, spans a broad set of algorithms used to extract valuable models from raw data and grew out of traditional statistics and analysis. COVID-19 Impact on the Global Machine Learning-as-a-Service Market Machine learning has significantly helped in analyzing data related to COVID-19. In April 2020, Amazon Web Services launched Cord-19 Search, a new website powered by ML that could help researchers quickly and easily utilize natural language questions to search tens of thousands of research papers and documents. In addition, in October 2020, © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

7. Amazon open-sourced a toolset for data scientists and researchers to better model and understand coronavirus progression in each community over time. This toolset has a disease progression simulator and multiple ML models to test the impact of various interventions. For instance, several researchers use machine learning to create a smart monitoring system that tracks and detects the suspected COVID-19 infected persons. One proposed system is a new framework integrating machine learning, cloud, fog, and Internet of Things (IoT) technologies to create a COVID-19 disease monitoring and prognosis system. Global Machine Learning Global Machine Learning- -as as- -a a- -Service Market Service Market Dynamics Dynamics Drivers: Increasing Adoption of IoT and Automation IoT operations ensure that thousands or more devices on an enterprise network run correctly and safely and that the data collected is both timely and accurate. While sophisticated back-end analytics engines handle the heavy lifting of processing a stream of data, ensuring data quality is frequently left to antiquated methods. Some IoT platform vendors are incorporating machine learning technology to improve their operations management capabilities in order to maintain control over sprawling IoT infrastructures. © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

8. Machine learning could demystify the hidden patterns in IoT data by analyzing significant volumes of data utilizing sophisticated algorithms. Machine learning inference could replace manual processes with automated systems that use statistically derived actions in critical processes. The IoT data modeling process is automated with ML solutions, eliminating the time-consuming and labor-intensive model selection, coding, and validation activities. Challenges: Privacy and Data Security Concerns Machine learning as a service (MLaaS) leverages deep learning techniques for predictive analytics to enhance decision-making. However, the usage of 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 could be stolen by adversaries who pose as clients. To engage in predictions, a model owner needs to receive data from the clients. However, the data may consist of sensitive information. Thus, most clients are reluctant to provide their data. Furthermore, there is an issue about the prediction result's privacy and whether it is safe from being accessed by unauthorized parties. In this scenario, privacy- preserving deep learning (PPDL) is needed to tackle the challenge. The future direction of PPDL will focus on combining federated learning and overcoming the current privacy issues during the data collection phase in MLaaS. © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

9. Segmentation of Global Machine Learning-as-a-Service Market The study categorizes the machine learning-as-a-service market based on application, organization size, and end-users at the regional and global levels. By Application Outlook (Sales/Revenue, USD Billion, 2017 By Application Outlook (Sales/Revenue, USD Billion, 2017- -2030 2030) ) Marketing and Advertisement Predictive Maintenance Automated Network Management Fraud Detection and Risk Analytics Other Applications NLP Sentiment Analysis Computer Vision By Organization Size Outlook (Sales/Revenue, USD Billion, 2017 By Organization Size Outlook (Sales/Revenue, USD Billion, 2017- -2030) 2030) Small and Medium Enterprises Large Enterprises By End By End- -Users Outlook (Sales/Revenue, USD Billion, 2017 Users Outlook (Sales/Revenue, USD Billion, 2017- -2030) 2030) © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

10. IT and Telecom Automotive Healthcare Aerospace and Defense Retail Government BFSI Other End Users Education Media and Entertainment Agriculture Trading Market Place By Region Outlook (Sales/Revenue, USD Billion, 2017-2030) North America (US, Canada, Mexico) South America (Brazil, Argentina, Colombia, Peru, Rest of Latin America) Europe (Germany, Italy, France, UK, Spain, Poland, Russia, Slovenia, Slovakia, Hungary, Czech Republic, Belgium, the Netherlands, Norway, Sweden, Denmark, Rest of Europe) Asia Pacific (China, Japan, India, South Korea, Indonesia, Malaysia, Thailand, Vietnam, Myanmar, Cambodia, the Philippines, Singapore, Australia & New Zealand, Rest of Asia Pacific) © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

11. The Middle East & Africa (Saudi Arabia, UAE, South Africa, Northern Africa, Rest of MEA) The marketing and advertisement segment is projected to account for the largest market share by application Make an Enquire before Purchase @:https://www.marketstatsville.com/buy-now/machine-learning-as-a- service?opt=2950 Based on application, the global machine learning-as-a-service market is divided into marketing and advertisement, automated network management, predictive maintenance, fraud detection and risk analytics, and other applications. In 2021, the marketing and advertisement segment accounted for the largest market share of 33.6% in the global machine learning-as-a-service market. Machine learning (ML) provides marketing companies with an opportunity to make quick, critical decisions based on big data. In addition, ML assists marketing enterprises in responding faster to the changes in the quality of traffic brought about by advertisement campaigns. Also, the current dynamic creative optimization (DCO) approach requires the brands to pre-plan the right message for the appropriate consumer context and provide little room for learned adaptation as the campaign matures. However, predictive and regressive machine learning models are reshaping the prospects of dynamic creative assembly by empowering the brands to predict which elements resonate best with every audience member. Asia Pacific accounts for the highest CAGR during the forecast period © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

12. Based on the regions, the global machine learning-as-a-service market has been segmented across North America, Asia-Pacific, Europe, South America, and the Middle East & Africa. Globally, Asia Pacific is estimated to hold the highest CAGR of 41.7% in the global machine learning-as-a-service market during the forecast period. The Asia-Pacific region is one of the most significant cloud and ML technology markets. The growing cloud and ML adoption among regional SMEs and increasing investments by all the end-users in ML technology are major factors driving the market for ML as a service in the region. Request for Complete TOC and Figures & Graphs @https://www.marketstatsville.com/table-of-content/machine- learning-as-a-service Further, the market's growth in terms of robotic process automation, machine-to-machine communication, cloud manufacturing, and cloud AI may directly create the need for ML as a service, as ML is the major functioning factor to automate various tasks and support predictions for these markets. Emerging countries, like India and Taiwan, are heavily investing toward adopting new ML-based services or models, further expanding the market studied’s application scope. The growing investments by multiple startups and venture capitals (VC) in the region act as a catalyst in bringing innovation into the market. © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

13. Key Market Key Market Players Players The machine learning-as-a-service market is mildly concentrated in nature with few numbers of global players operating in the market such as Microsoft Corporation, SAS Institute Inc., Fair Isaac Corporation (FICO), Google LLC, IBM Corporation, Hewlett Packard Enterprise Company, Yottamine Analytics LLC, BigML Inc., Iflowsoft Solutions Inc., Amazon Web Services Inc., Monkeylearn Inc., Sift Science Inc., and H2O.ai Inc. Every company follows its business strategy to attain the maximum market share. Request For Report Description @https://www.marketstatsville.com/machine-learning-as-a-service © Statsville Consulting Private Limited www.marketstatsville.com | sales@marketstatsville.com | +1-580-205-2707 | +91-702-496-8807

14. Thank You Thank You Market Market Statsville Statsville Group (MSG) Group (MSG) F-178 Subhash Marg C Scheme, Ashok Nagar, Jaipur, Rajasthan, 302001 Phone : +91 702 496 8807 Mail : sales@marketstatsville.com 416, East Standsberry Street, Perkins, Oklahoma 74059, US Phone : +1 580 250 2707 Mail : sales@marketstatsville.com