DUBLIN, November 8, 2022 /PRNewswire/ — The report “Global Data Science Platform Market by Component, By Application, By Vertical: Global Opportunities Analysis and Industry Forecast, 2020-2030” has been added to from ResearchAndMarkets.com offer.
According to this report, the Global Data Science Platforms Market was valued at $4.7 billion in 2020, and should reach $79.7 billion by 2030, growing at a CAGR of 33.6% from 2021 to 2030.
The Data Science Platform is a packaged software application that provides the tools for the entire lifecycle of a data science project. Data science platforms are essential tools for data scientists. It enables data mining, model development and model distribution. It facilitates the preparation and visualization of data while providing a large-scale computing infrastructure.
Data science platforms help users collaborate by providing a centralized platform. They serve as a one-stop-shop for data modeling, as data science platforms contain the APIs to produce and test models with minimal external engineering requirements.
The increasing reliance on machine learning creates a need for data science platforms that meet the needs of building, training, scaling, and deploying machine learning (ML) models . The right platforms and technologies enable breakthroughs in data science. Additionally, machine learning and artificial intelligence are driving innovations in data science and data management. The advancement in big data technology and the importance of collecting and using data for decision-making is expected to drive the market growth over the forecast period.
However, high investment costs, data privacy and security, and reliability issues observed by employees are hampering the growth of the market. Additionally, adoption of cloud-based solutions and services and targeting untapped and emerging markets for data science platforms are expected to provide ample growth opportunities for the market over the forecast period.
The data science platform market is segmented on the basis of component, application, industry vertical, and region. Based on components, it is divided into platform and services. Based on the application, it is divided into marketing and sales, logistics, finance and accounting, customer support and others. According to the industry vertical, it is segmented into BFSI, IT & Telecom, Retail & e-Commerce, Healthcare, Transportation, Manufacturing and Others). Region wise it is analyzed through North America, Europe, Asia Pacificand LAMEA.
The global data science platform market is dominated by key players such as Microsoft Corporation, IBM Corporation, SAS Institute, Inc., SAP SE, RapidMiner, Inc., Dataiku, Alteryx, Inc., FICO, The MathWorks, Inc. . and Teradata. .
Main benefits for stakeholders
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The study provides an in-depth analysis of the Data Science Platforms market along with current trends and future estimations to elucidate the impending investment pockets.
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Information on major drivers, restraints and opportunities and their market size impact analysis are provided in the report.
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Porter’s five forces analysis illustrates the power of buyers and suppliers operating in the industry.
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The quantitative analysis of the data science platform market for the period 2020-2030 is provided to determine the market potential.
Main topics covered:
CHAPTER 1 INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
3.1. Definition and scope of the market
3.2. Main conclusions
3.2.1. The best investment pockets
3.3. Porter’s Five Forces Analysis
3.4. Positioning of the best player
3.5. Market dynamics
3.5.1. Drivers
3.5.2. Constraints
3.5.3. Opportunities
3.6. COVID-19 Market Impact Analysis
3.7. Regulatory guidelines
3.8. Analysis of key regulations
3.9. Patent landscape
CHAPTER 4: GLOBAL DATA SCIENCE PLATFORMS MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market Size and Forecast
4.2 Platform
4.2.1 Key Market Trends, Growth Drivers and Opportunities
4.2.2 Market Size and Forecast, by Region
4.2.3 Market Analysis by Countries
4.3 Services
4.3.1 Key Market Trends, Growth Drivers and Opportunities
4.3.2 Market Size and Forecast, by Region
4.3.3 Market Analysis by Countries
CHAPTER 5: GLOBAL DATA SCIENCE PLATFORM MARKET, BY APPLICATION
5.1 Overview
5.1.1 Market Size and Forecast
5.2 Marketing and sales
5.2.1 Key Market Trends, Growth Drivers and Opportunities
5.2.2 Market Size and Forecast, by Region
5.2.3 Market Analysis by Countries
5.3 Logistics
5.3.1 Key Market Trends, Growth Drivers and Opportunities
5.3.2 Market Size and Forecast, by Region
5.3.3 Market Analysis by Countries
5.4 Finance and accounting
5.4.1 Key Market Trends, Growth Drivers and Opportunities
5.4.2 Market Size and Forecast, by Region
5.4.3 Market Analysis by Countries
5.5 Customer support
5.5.1 Key Market Trends, Growth Drivers and Opportunities
5.5.2 Market Size and Forecast, by Region
5.5.3 Market Analysis by Countries
5.6 Others
5.6.1 Key Market Trends, Growth Drivers and Opportunities
5.6.2 Market Size and Forecast, by Region
5.6.3 Market Analysis by Countries
CHAPTER 6: GLOBAL DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL
6.1 Overview
6.1.1 Market Size and Forecast
6.2 BFSI
6.2.1 Key Market Trends, Growth Drivers and Opportunities
6.2.2 Market Size and Forecast, by Region
6.2.3 Market Analysis by Countries
6.3 Retail and e-commerce
6.3.1 Key Market Trends, Growth Drivers and Opportunities
6.3.2 Market Size and Forecast, by Region
6.3.3 Market Analysis by Countries
6.4 IT and Telecom
6.4.1 Key Market Trends, Growth Drivers and Opportunities
6.4.2 Market Size and Forecast, by Region
6.4.3 Market Analysis by Countries
6.5 Transportation
6.5.1 Key Market Trends, Growth Drivers and Opportunities
6.5.2 Market Size and Forecast, by Region
6.5.3 Market Analysis by Countries
6.6 Healthcare
6.6.1 Key Market Trends, Growth Drivers and Opportunities
6.6.2 Market Size and Forecast, by Region
6.6.3 Market Analysis by Countries
6.7 Manufacturing
6.7.1 Key Market Trends, Growth Drivers and Opportunities
6.7.2 Market Size and Forecast, by Region
6.7.3 Market Analysis by Countries
6.8 Others
6.8.1 Key Market Trends, Growth Drivers and Opportunities
6.8.2 Market Size and Forecast, by Region
6.8.3 Market Analysis by Countries
CHAPTER 7: GLOBAL DATA SCIENCE PLATFORM MARKET, BY REGION
CHAPTER 8: CORPORATE LANDSCAPE
8.1. Introduction
8.2. The best winning strategies
8.3. Top 10 Player Product Mapping
8.4. Competitive Dashboard
8.5. Competitive heatmap
8.6. Main developments
CHAPTER 9: COMPANY PROFILES
9.1 MICROSOFT COMPANY
9.1.1 Company Overview
9.1.2 Company Overview
9.1.3 Operating business segments
9.1.4 Product Portfolio
9.1.5 Commercial performance
9.1.6 Key strategic moves and developments
9.2 SAS INSTITUTE INC.
9.2.1 Company Overview
9.2.2 Company Overview
9.2.3 Operating business segments
9.2.4 Product portfolio
9.2.5 Commercial performance
9.2.6 Key Strategic Movements and Developments
9.3 FAIR ISSAC CORPORATION (FICO)
9.3.1 Company Overview
9.3.2 Company Overview
9.3.3 Operating business segments
9.3.4 Product portfolio
9.3.5 Commercial performance
9.3.6 Key Strategic Movements and Developments
9.4 INTERNATIONAL BUSINESS MACHINERY CORPORATION (IBM CORPORATION)
9.4.1 Company Overview
9.4.2 Company Overview
9.4.3 Operating business segments
9.4.4 Product portfolio
9.4.5 Commercial performance
9.4.6 Key strategic moves and developments
9.5 SAP OS
9.5.1 Company Overview
9.5.2 Company Overview
9.5.3 Operating business segments
9.5.4 Product Portfolio
9.5.5 Commercial performance
9.5.6 Key strategic moves and developments
9.6 TERADATA COMPANY
9.6.1 Company Overview
9.6.2 Company Overview
9.6.3 Operating business segments
9.6.4 Product portfolio
9.6.5 Commercial performance
9.6.6 Key Strategic Movements and Developments
9.7 ALTREYX, INC.
9.7.1 Company Overview
9.7.2 Company Overview
9.7.3 Operating business segments
9.7.4 Product portfolio
9.7.5 Commercial performance
9.7.6 Key Strategic Movements and Developments
9.8 DATAIKU SAS
9.8.1 Company Overview
9.8.2 Company Overview
9.8.3 Operating business segments
9.8.4 Product Portfolio
9.8.5 Commercial performance
9.8.6 Key strategic moves and developments
9.9 RAPIDMINER INC.
9.9.1 Company Overview
9.9.2 Company Overview
9.9.3 Operating business segments
9.9.4 Product Portfolio
9.9.5 Commercial performance
9.9.6 Key strategic moves and developments
9.10 MATHWORKS INC.
9.10.1 Company Overview
9.10.2 Company Overview
9.10.3 Operating business segments
9.10.4 Product Portfolio
9.10.5 Commercial performance
9.10.6 Key Strategic Movements and Developments
For more information on this report visit https://www.researchandmarkets.com/r/xfr092
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