Global Machine Learning-as-a-Service (MLaaS) Market 2019-2023

#Snapshot img { margin: 10px !important; } Some of the key findings from the machine learning as a service market analysis report are summarized belowSee the complete table of contents and list of exhibits, as well as selected illustrations and example pages from this report.Get a FREE sample now!Global Machine Learning as a Service Industry OverviewEnterprises across industries are focusing on improving the customer experience as a business strategy to improve their competitive edge. The current digitalization of enterprises has improved their operational efficiency. However, they are seeking upgraded technologies for effective data management, such as customer data, to analyze them in the future to optimize business strategies. MLaaS is one such technology that is being adopted across end-user industries to gain better data insights about customer buying patterns and interests. The ability of ML in reducing or removing tasks is another significant factor prompting end-users to adopt the technology. The use of ML is increasing among enterprises for customer experience management, which will drive MLaaS market growth at a CAGR of over 38% during 2019-2023.The digitalization of the retail sector has increased the usage of technologies such as MLaaS. Significant rise in online shopping has prompted e-commerce vendors in adopting MLaaS for inventory optimization, fraud detection, demand forecasting by price optimization, marketing, and product placement with behavioral tracking, and customer servicing. The growing awareness about the benefits of automating processes using MLaaS has been increasing its adoption, which, in turn, has augmented the sales of market vendors. The retail industry will continue to make investments in technologies to improve sales and efficiency, and this will be one of the key machine learning as a service market trends that will drive market growth in the coming years.Top Machine Learning as a Service Companies Covered in this Market Research ReportThe global machine learning as a service market is concentrated. To help clients improve their market positions, this report provides an analysis of the market’s competitive landscape and offers information on the products offered by various companies. Moreover, this machine learning as a service market research report also includes information on the upcoming trends and challenges that will influence market growth. This will help companies create strategies to make the most of future growth opportunities.The report offers a detailed analysis of several leading machine learning as a service companies, including:Google LLCHewlett Packard Enterprise Development LPIBM Corp.Microsoft Corp.SAS Institute Inc.Machine Learning as a Service Market Segmentation Based on ProductBFSIRetailTelecommunicationsHealthcareManufacturingOther end-usersThe BFSI sector held the largest market share in 2018 and will account for the highest machine learning as a service market share over the forecast period. The rising need for BFSI companies to automate customer service operations and improve risk management is expected to boost the growth of the market segment in the forthcoming years. This report provides an accurate prediction of the contribution of all the segments to the growth of machine learning as a service market size.Machine Learning as a Service Market Segmentation Based on Geographic RegionAPACEuropeMEANorth AmericaSouth AmericaWith a complete study of the growth opportunities for the companies, it has been identified that APAC will account for the highest share of the machine learning as a service market throughout the forecast period. Factors such as the high adoption of cloud solutions and ML and a significant amount of data generation from data-driven industries such as the BFSI sector are contributing to the machine learning as a service market growth in the region.Key Highlights of the Global Machine Learning as a Service Market Forecast Report for the Period 2019-2023CAGR of the market during the forecast period 2019-2023Detailed information on factors that will accelerate the growth of machine learning as a service market during the next five yearsPrecise estimation of the global machine learning as a service market size and its contribution to the parent marketAccurate predictions on upcoming trends and changes in consumer behaviorThe growth of machine learning as a service industry across APAC, Europe, MEA, North America, and South AmericaA thorough analysis of the market’s competitive landscape and detailed information on several vendorsComprehensive details of factors that will challenge the growth of machine learning as a service companiesWe can help! Our analysts can customize this market research report to meet your requirements. Get in touch

以下为机器学习即服务（Machine Learning as a Service，MLaaS）市场分析报告中的关键发现摘要。详尽的内容目录、附录清单以及报告中的精选插图和示例页面，均可在此查阅。即刻获取免费样本！全球机器学习即服务行业概览：各行各业的企业正将提升客户体验作为提升竞争优势的商业策略。当前企业的数字化转型提高了其运营效率。然而，他们正寻求升级的技术以有效管理客户数据等数据，以便未来分析并优化商业策略。MLaaS便是此类技术之一，它正被广泛应用于终端用户行业，以获取关于客户购买模式和兴趣的更深入数据洞察。ML在减少或消除任务方面的能力是促使终端用户采用该技术的另一个重要因素。企业在客户体验管理方面的ML使用正在增加，预计将在2019年至2023年期间以超过38%的复合年增长率推动MLaaS市场增长。零售行业的数字化转型增加了对MLaaS等技术的使用。在线购物的大幅增长促使电子商务供应商采用MLaaS进行库存优化、欺诈检测、通过价格优化进行需求预测、营销、产品定位和行为跟踪，以及客户服务。对使用MLaaS自动化流程所带来的益处的认识不断增长，这反过来又增加了市场供应商的销售。零售行业将继续投资于技术以提高销售和效率，这将成为未来几年推动机器学习即服务市场增长的关键趋势之一。本市场研究报告中涵盖的顶级机器学习即服务公司：谷歌LLC、惠普企业开发LP、IBM公司、微软公司、SAS研究所公司。机器学习即服务市场根据产品细分：金融服务业（BFSI）、零售业、电信业、医疗保健业、制造业、其他终端用户。金融服务业在2018年占据了最大的市场份额，并预计在预测期间将占据最大的机器学习即服务市场份额。预计金融服务业对自动化客户服务运营和改进风险管理的需求上升将推动该市场细分在未来几年的增长。本报告提供了对所有细分市场对机器学习即服务市场规模增长的贡献的准确预测。根据对公司的增长机会的全面研究，亚太地区将占据预测期间机器学习即服务市场最高份额。云解决方案和ML的高采用率以及来自金融服务业等数据驱动型行业的大量数据生成等因素正在推动该地区机器学习即服务市场增长。全球机器学习即服务市场预测报告（2019-2023年）的关键亮点：预测期间（2019-2023年）市场的复合年增长率；未来五年推动机器学习即服务市场增长的加速因素详细信息；全球机器学习即服务市场规模及其对母市场的贡献的精确估计；对即将到来的趋势和消费者行为变化的准确预测；亚太地区、欧洲、中东非洲、北美和南美洲机器学习即服务行业的增长；市场竞争格局的深入分析以及关于多个供应商的详细信息；阻碍机器学习即服务公司增长的挑战因素的全面细节。我们能够提供帮助！我们的分析师可以根据您的需求定制本市场研究报告。请联系我们。