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North America Data Science Platform Market By Component, By Deployment Type, By Enterprise Size, By Application, By End User, By Country, Industry Analysis and Forecast, 2020 - 2026

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    Report

  • 124 Pages
  • November 2020
  • Region: North America
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5214490
The North America Data Science Platform Market is expected to 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 Study

Market Segmentation:

By Component
  • Platform (Without Services)
  • Services

By Deployment Type
  • On-premises
  • Cloud

By Enterprise Size
  • Large Enterprise
  • Small & Medium Enterprise

By Application
  • Marketing & Sales
  • Logistics
  • Customer Support
  • Finance & Accounting
  • Others

By End User
  • BFSI
  • Energy & Utilities
  • Healthcare
  • Retail & eCommerce
  • Government & Defense
  • IT & Telecommunication
  • Manufacturing
  • Others

By Country
  • US
  • Canada
  • Mexico
  • Rest of North America

Companies Profiled
  • IBM Corporation
  • Microsoft Corporation
  • Google, Inc.
  • SAP SE
  • Altair Engineering, Inc.
  • Alteryx, Inc.
  • Cloudera, Inc.
  • The MathWorks, Inc.
  • SAS Institute, Inc.
  • RapidMiner, Inc.

Unique Offerings from the Publisher
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Data Science Platform Market, by Component
1.4.2 North America Data Science Platform Market, by Deployment Type
1.4.3 North America Data Science Platform Market, by Enterprise Size
1.4.4 North America Data Science Platform Market, by Application
1.4.5 North America Data Science Platform Market, by End User
1.4.6 North America Data Science Platform Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Executive Summary
2.1.3 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Mergers & Acquisitions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2016-2020)
3.3.2 Key Strategic Move: (Partnerships, Collaborations, and Agreements : 2017, Apr - 2020, Oct) Leading Players
Chapter 4. North America Data Science Platform Market by Enterprise Size
4.1 North America Data Science Platform Large Enterprise Market by Country
4.2 North America Data Science Platform Small & Medium Enterprise Market by Country
Chapter 5. North America Data Science Platform Market by Industry Vertical
5.1 North America BFSI Data Science Platform Market by Country
5.2 North America Energy & Utilities Data Science Platform Market by Country
5.3 North America Healthcare Data Science Platform Market by Country
5.4 North America Retail & eCommerce Data Science Platform Market by Country
5.5 North America Government & Defense Data Science Platform Market by Country
5.6 North America IT & Telecommunication Data Science Platform Market by Country
5.7 North America Manufacturing Data Science Platform Market by Country
5.8 North America Other Industry Vertical Data Science Platform Market by Country
Chapter 6. North America Data Science Platform Market by Component
6.1 North America Data Science Platform (Without Services) Market by Country
6.2 North America Data Science Platform Services Market by Country
Chapter 7. North America Data Science Platform Market by Deployment Type
7.1 North America On-premises Data Science Platform Market by Country
7.2 North America Cloud Data Science Platform Market by Country
Chapter 8. North America Data Science Platform Market by Application
8.1 North America Marketing & Sales Data Science Platform Market by Country
8.2 North America Logistics Data Science Platform Market by Country
8.3 North America Customer Support Data Science Platform Market by Country
8.4 North America Finance & Accounting Data Science Platform Market by Country
8.5 North America Others Data Science Platform Market by Country
Chapter 9. North America Data Science Platform Market by Country
9.1 US Data Science Platform Market
9.1.1 US Data Science Platform Market by Enterprise Size
9.1.2 US Data Science Platform Market by Industry Vertical
9.1.3 US Data Science Platform Market by Component
9.1.4 US Data Science Platform Market by Deployment Type
9.1.5 US Data Science Platform Market by Application
9.2 Canada Data Science Platform Market
9.2.1 Canada Data Science Platform Market by Enterprise Size
9.2.2 Canada Data Science Platform Market by Industry Vertical
9.2.3 Canada Data Science Platform Market by Component
9.2.4 Canada Data Science Platform Market by Deployment Type
9.2.5 Canada Data Science Platform Market by Application
9.3 Mexico Data Science Platform Market
9.3.1 Mexico Data Science Platform Market by Enterprise Size
9.3.2 Mexico Data Science Platform Market by Industry Vertical
9.3.3 Mexico Data Science Platform Market by Component
9.3.4 Mexico Data Science Platform Market by Deployment Type
9.3.5 Mexico Data Science Platform Market by Application
9.4 Rest of North America Data Science Platform Market
9.4.1 Rest of North America Data Science Platform Market by Enterprise Size
9.4.2 Rest of North America Data Science Platform Market by Industry Vertical
9.4.3 Rest of North America Data Science Platform Market by Component
9.4.4 Rest of North America Data Science Platform Market by Deployment Type
9.4.5 Rest of North America Data Science Platform Market by Application
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional & Segmental Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.1 Recent strategies and developments:
10.2.1.1 Partnerships, Collaborations, and Agreements:
10.2.1.2 Acquisition and Mergers:
10.2.1.3 Product Launches and Product Expansions:
10.2.2 SWOT Analysis
10.3 Google, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Acquisition and Mergers:
10.3.5.3 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 SAP SE
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Product Launches and Product Expansions:
10.4.5.2 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 Altair Engineering, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research and Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Product Launches and Product Expansions:
10.5.5.2 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Alteryx, Inc.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Acquisition and Mergers:
10.7 Cloudera, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.5.2 Acquisition and Mergers:
10.8 The MathWorks, Inc.
10.8.1 Company Overview
10.8.2 Recent strategies and developments:
10.8.2.1 Partnerships, Collaborations, and Agreements:
10.8.2.2 Product Launches and Product Expansions:
10.9 SAS Institute, Inc.
10.9.1 Company Overview
10.9.2 Recent strategies and developments:
10.9.2.1 Partnerships, Collaborations, and Agreements:
10.10. RapidMiner, Inc.
10.10.1 Company Overview
10.10.2 Recent strategies and developments:
10.10.2.1 Partnerships, Collaborations, and Agreements:
10.10.2.2 Product Launches and Product Expansions:

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Google, Inc.
  • SAP SE
  • Altair Engineering, Inc.
  • Alteryx, Inc.
  • Cloudera, Inc.
  • The MathWorks, Inc.
  • SAS Institute, Inc.
  • RapidMiner, Inc.

Methodology

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