Enterprises from varied industry verticals are growing focus on the extraction of exhaustive insights from a huge amount of data to lead in their businesses. This factor is expected to boost the sales opportunities for the global data science platform market during the forecast period of 2021 to 2031. An upcoming research report by Transparency Market Research (TMR) provides thorough analysis of major factors shaping the development of the global data science platform market. Historical and current trends, drivers, restraints, challenges, and growth opportunities of the market for data science platform are precisely presented in this research report. Therefore, the document works as a dependable guide to gain decisive insights on the global data science platform market for the forecast period of 2021 to 2031. Request For Brochure- https://www.transparencymarketresearch.com/sample/sample.php? flag=B&rep_id=20237 The study performs segmentation of the global data science platform market based on several important parameters such as industry verticals, components, business functions, deployment modes, organization size, and region. In terms of deployment modes, the market for data science platform is classified into two parts, namely, cloud and on-premises. Key Drivers of Data Science Platform Market Growth Telecom and IT, banking, financial services, and insurance (BFSI), healthcare and life sciences, retail and ecommerce, energy and utilities, manufacturing, transportation and logistics, government, and media and entertainment are some of the important industry verticals where data science platforms find wide applications. Data science platforms are gathering impetus owing to their ability to assist companies in streamlining their business processes and attracting new customers. In recent years, there is significant growth in adoption of data science platforms by medium and small-sized enterprises. This factor is boosting the expansion opportunities for companies operating in the data science platform market. Moreover, organizations today are increasing inclination toward incorporation of advanced technologies including automation and digitalization, which is generating huge data as well as complex business processes. This factor is highlighting the need for data science platform solutions, thereby creating lucrative avenues for companies in the data science platforms market. PreBook Our Premium Research Report at – https://www.transparencymarketresearch.com/checkout.php?rep_id=20237&ltype=S Competition Landscape of Data Science Platform Market The global data science platform market seems to be fragmented in nature. Presence of many wellestablished players signifies that the competitive landscape of the market for data science platform is extremely intense. Companies working in this market are using diverse strategies to gain the leading position such as new product and services launches, mergers, acquisitions, partnerships, joint ventures, and collaborations. Some of the key players in the global data science platform market are:
Microsoft Corporation
BM Corporation
Altair Engineering, Inc.
Alphabet Inc. (Google)
MathWorks
SAS Institute Inc.
Alteryx, Inc.