Rise in Consumer Behavior Analysis, Followed by Integration of Machine Learning with Increase in Usage of Big Data to Drive Machine Learning as a Service Market over the Forecast Period: Ken Research REQUEST FOR SAMPLE REPORT Buy Now Request For sample Report × Report Title Name Email Designation Phone No Comapny Name Comapny URL Country -- Please Select Your Country -- Afganistan Africa Albania Algeria Andorra Angola Anguilla Antigua and Barbuda Argentina Armenia Aruba Asia Australasia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bonaire Bosnia Herzegovina Botswana Brazil BRICS British Virgin Islands Brunei Darussalam Bulgaria Burkina Faso Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Central and South America Chad Chile China Colombia Comoros Congo Costa Rica Cote d'Ivoire Croatia Cuba Curacao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Europe European Union Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia Gabon Gambia Georgia Germany Ghana Gibraltar Global Great Britain Greece Greenland Grenada Guadeloupe Guam Guatemala Guerney & Alderney Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Ivory Coast Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macau Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Man (Island of) Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia Middle East Minnesota Moldova Monaco Mongolia Monserrat Montenegro Morocco Morroco Mozambique Myanmar Namibia Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue North America North Korea Norway Oman Pakistan Palau Palestine Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Reunion Romania Russia Rwanda Saint Helena Saint Lucia Saint Martin Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa Samoa (American) San Marino Sao Tome and Principe Saudi Arabia Scandinavia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten Slovakia Slovenia Solomon (Islands) Somalia South Africa South Korea South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Islands Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Timor Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Virgin Islands Western Sahara Yemen Zambia Zimbabwe Requirement Submit Machine learning as a service or MLaaS refers to a variety of services which provide machine learning tools as a division of cloud computing services. These tools contain predictive analytics, data visualization, face recognition, APIs, natural language processing, and deep learning. It is well associated to deal with the complexities of the industrialized industry. The main benefit of MLaaS is that consumer can get started fast with machine learning without downloading & installing some software at their end. According to study, “Machine Learning as a Service Market – Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023” some of the major companies that are currently working in the machine learning as a service market are Amazon Web Services Inc., Microsoft Corp., Google Inc., Predistron Labs Ltd., IBM Corporation, Fair Isaac Corp. FICO, BigML Inc., AT & T, SAS Institute Inc., H2O.ai, Iflowsoft Solutions Inc., Yottamine Analytics, Fuzzy Ai, Hewlett Packard Enterprise, Sift Science Inc., PurePredictive, Ersatz Labs Inc. Vendors are providing machine learning solutions on a subscription based form, making it easier for the customers to take the benefit of this technology. In addition, companies can improve their product quality, reduce time to market, ensure supply chain efficiency, fulfill reliability standards, and as a result, improve their customer base by the application of machine learning. Based on component, machine learning as a service market is segmented into cloud based APIs, software tools and web based APIs. Based on deployment mode, market is alienated into on premise deployment mode and on-cloud deployment mode. Based on organization size, market is segmented into large enterprises, medium enterprise and small enterprise. Based on application type, the market is identified as predictive maintenance, risk analytics & fraud detection, security & surveillance, network analytics, computer vision, natural language processing, marketing & advertising and augmented & virtual reality. In addition, based on the end-user industry, market is segmented into manufacturing, energy & utilities, aerospace & defense, public sector, IT & telecom, Banking Financial Services & Insurance (BFSI), retail, healthcare and others. The machine learning as a service market is primarily driven by rise in consumer behavior analysis, followed by the integration of machine learning with increase in usage of big data and the other technologies, increase in adoption of cloud-based services, high volume of structured and unstructured data, increased application of advanced analytics in manufacturing, the rise importance of predictive & preventive maintenance, and increasing adoption of IoT & automation. Apart from benefits, some of the challenges include need for skilled professional, the dearth of skilled data scientists, and privacy & data security concerns. In addition, an increased application areas and increased adoption of analytical solutions. The Americas holds the prime market share followed by Asia-Pacific region and Europe, due to rise in demand of enterprise mobility & cloud-based solutions and high implementation rate of machine learning in the manufacturing methods. However, deployment of new technologies and shifting focus toward automation, is expected to reduce cost are expected to drive the APAC region at a more rapidly growth rate. Furthermore, the region has witnessed a remarkable increase in the number of start-ups concerned in the business, which is further increasing the market growth. The global MLaaS market is projected to register a CAGR of regarding 43.46% during 2018-2023 (the estimated period), to reach a worth of US $8.3 billion, by 2023. In near future, it is projected that the future of the market is expected to grow significantly due to presence of large companies, and their immediate market penetration. For more information, click on the link below: Machine Learning as a Service Market Contact Us: Ken Research Ankur Gupta, Head Marketing & Communications sales@kenresearch.com +91 9015378249 Tags: Amazon Web Services Machine Learning as a Service Market, Asia Machine Learning as a Service Market, China Machine Learning as a Service Market, Europe Machine Learning as a Service Market, Global Machine Learning as a Service in Manufacturing Market, Global Machine Learning as a Service Market Deployment, Global Machine Learning as a Service Market Future Players, Global Machine Learning as a Service Market Region, Global Machine Learning as Service Market Segmentation, Google Inc. 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