The Latin America, Middle East and Africa Data Science Platform Market would witness market growth of 30.9% CAGR during the forecast period (2020-2026). Data science can be considered as next-generation computing, wherein specific instruments and algorithms are applied for the top to bottom analysis of big data. A few companies are installing data science platforms to continue in the serious competitive situation through the ideal utilization of analytics and to acquire important insights from structured and unstructured data available within the ecosystem.
The data science platform market is significantly boosted by the rapid growth in big data innovations, expanding the need for technologies to upgrade operational effectiveness, and increasing adoption of big data analytics to gain insights into the purchasing behavior and buying trends of consumers. Adoption of the data science platform in rising markets, including Brazil, the Gulf Cooperation Council (GCC) nations, and African nations is at a nascent stage, unlike that in developed markets. However, the potential effect of upgraded analytics solutions and services on business activities has expanded in the area. Moreover, the relative significance of the collection of data in the majority of the local economies and the need to extract noteworthy insights from the data are foreseen to propel the demand for services and solutions related to data science platform.
Various data science groups have grown out of their current instruments and are encountering an absence of collaboration and adaptability as they become overwhelmed by ordinary operational tasks. To solve this issue, organizations are presently choosing data science platforms that are modular or open, collaborative, adaptable, multi-client, and support the whole pipeline of creation. Factors, for example, business optimization, model deployment, model sharing, model management, versatility, reproducibility, and agility given by these platforms have significantly added to rapid adoption.
Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Medium Enterprise. Based on Application, the market is segmented into Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others. Based on End User, the market is segmented into BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
Free Valuable Insights: Data Science Platform Market in LAMEA is expected to register a CAGR of 30.9% during the forecast period (2020-2026)
The market research report covers theanalysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., SAP SE, Altair Engineering, Inc., Alteryx, Inc., Cloudera, Inc., The MathWorks, Inc., SAS Institute, Inc., and RapidMiner, Inc.
Market Segmentation:
By Component
By Deployment Type
By Enterprise Size
By Application
By End-User
By Country
Companies Profiled
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