Machine Learning as a Service Market Size, Global Trends, Developments, Competitive Landscape, Business Strategy and Opportunity Assessment by 2022
Jun 3, 2019
Market Research Future published a research report on “Machine Learning as a Service (MLaaS) Market Research Report- Forecast 2022” – Market Analysis, Scope, Stake, Progress, Trends and Forecast to 2022.
Pune, India - June 3, 2019 /MarketersMedia/ —
Market Highlights
In this rapidly changing environment, need for understanding customer behavior is ever increasing. This is driving the machine learning as a service market. The increasing adoption of internet of things (IoT) and big data responsible to drive the Machine learning as a service (MLaaS) market.
Observing the current trend and advancements in technologies the study indicates a sudden hike in Machine Learning as a Service (Mlaas) Market. The Machine learning as a service market is driven by many factors such as adoption of cloud-based technologies, innovations in automation technologies and others. By adoption of machine learning as a service there is no need to download or install any software. The major challenge of machine learning as a service is lack of historical data, this would be one of the major restraining factor for machine learning as a service (MLaaS) market.
The Machine learning as a service (MLaaS) Market is growing rapidly over 40% of CAGR and is expected to reach at USD ~4630 Billion by the end of forecast period.
Key Players
The prominent players in the machine learning as a service (MLaaS) Market are- Google (U.S.), BigML (U.S.), Microsoft (U.S.), IBM (U.S.), Amazon Web Services (U.S.), AT&T (U.S.), Fuzzy.ai (Canada), Yottamine Analytics (U.S.), Ersatz Labs, Inc. (U.S.), and Sift Science, Inc. (U.S.) among others
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Industry News:
In February 2019, Calix, Inc., a global provider of the cloud and software platforms, has added machine learning capabilities to its behavioral analytics-based churn prediction services.
In February 2019, IBM, a tech-giant, has offered its Watson data crunching technology to corporate customers who have deployed IBM’s cloud computing service.
In February 2019, Affinity, a San Francisco startup, has announced the launch of its “relationship intelligence” platform that leverages machine learning for managing relationships.
Market Segmentation:
• By Component, the global machine learning as a service (MLaaS) market has been segmented into Software tools, Cloud APIs, Web-based APIs
• By Application, the machine learning as a service (MLaaS) market has been segmented into Network analytics, Predictive maintenance, Augmented reality
• By deployment, the global machine learning as a service (MLaaS) market has been segmented into on-cloud and on-premise.
• By end-user, the machine learning as a service (MLaaS) market has been segmented into manufacturing, healthcare, BFSI, transportation, government, retail, Transportation, government, telecom, and others.
Regional Insights:
The global machine learning as a service (MLaaS) market, by region, has been segmented into Asia pacific, North America, Europe and the Rest of the World (RoW). North America has been expected to scale new heights and dominate the market through the forecast period. The U.S. and Canada are poised to contribute most significantly towards the growth of the machine learning as a service (MLaaS) market in the region. Europe, too, is expected to witness significant growth owing to the rapid developments introduced in machine learning. Asia Pacific is anticipated to exhibit positive growth over the next couple of years. The growth can be ascribed to the thriving country-level markets of China, Japan, South Korea, and India among others.
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Intended Audience:
• Machine learning as a service (MLaaS) vendors
• Resellers and distributors
• Technology investors
• System Integrators
• Government Organizations
• Research/Consultancy firms
• Network solution providers
• Independent software vendors
• Managed Security Service Providers (MSSPs)
About Us:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions.
Contact Info:
Name: Abhishek Sawant
Email: Send Email
Organization: Market Research Future
Website: https://www.marketresearchfuture.com
Source: MarketersMedia
Release ID: 519520
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