North America Data Science Platform Market By Component (Platform (Without Services) and Services), By Deployment Type (On-premises and Cloud), By Enterprise Size (Large Enterprise and Small & Medium Enterprise), By Application (Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others), By End User (BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others), By Country, Industry Analysis and Forecast, 2020 - 2026
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The North America Data Science Platform Market would witness market growth of 25.2% CAGR during the forecast period (2020-2026). Data science is a beginning step to combine insights, data search, and their connected techniques to evaluate information from the crude data. It gives different procedures drawn from various zones inside arithmetic, databases, data science, measurement, and software regions. Quick technological progression in big data internationally, utilization of innovative methods to drive business viably, and expanding demand for public cloud and adoption AI are the components driving the development of the data science platform market. Immense investment expenses and data explosion are the components hampering the data science platform market.
Advances in technology, for example, integration of Natural Language Processing (NLP) and Machine Learning (ML) are at an amazingly fast pace. Organizations, for example, Microsoft Corporation today are moving towards the adoption of high-level strategies to get a competitive edge in the market. With fast transformation, data has become a significant resource for any company. Along these lines, it has become necessary for organizations to search for data science groups to get considerable insights from the accumulated data.
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 U.S., Mexico, Canada, and Rest of North America.
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.
Scope of the North America Data Science Platform Market Analysis
- Platform (Without Services)
By Deployment Type
By Enterprise Size
- Large Enterprise
- Small & Medium Enterprise
- Marketing & Sales
- Customer Support
- Finance & Accounting
- Energy & Utilities
- Retail & eCommerce
- Government & Defense
- IT & Telecommunication
- Rest of North America
- IBM Corporation
- Microsoft Corporation
- Google, Inc.
- SAP SE
- Altair Engineering, Inc.
- Alteryx, Inc.
- Cloudera, Inc.
- The MathWorks, Inc.
- SAS Institute, Inc.
- RapidMiner, Inc.
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