Data science platform are used by the organizations to analyze their large data sets and gather optimized business insights from data, which in turn helps to increase profits for the organization. The data science platform includes a large number of technologies for machine learning and many other advanced analytical usages. Data science enables data scientist to find many actionable insights from the data, and also enables to communicate the same insights throughout the organization from the data science platform. Moreover, the data science platform can aid in coding and building the models that can leverage the data, deploy these models into production.
Market Dynamics
The demand for the data science platform globally is driven by the rapid advancements in the big data technologies, rising demand for the big data analysis technique for gaining deeper insights into the consumer buying pattern, or consumer social media usage habits. For instance, in September 2020, Fujitsu launched FUJITSU Future Mobility Accelerator Digital Twin Analyzer. This camera is capable of image analysis, with the help of artificial intelligence. This platform relies on big data collected from connected cars and can estimate 3D position and trajectory information of all the obstacles that include pedestrians, other vehicles, roads, and buildings. In addition, many organizations across the globe are adopting the business analytics solution, which provides organizations an effective outcome from the large set of data, and this is expected to drive growth of the data science platform market.
Key features of the study:
- This report provides in-depth analysis of data science platform market size (US$ Billion), and Compound Annual Growth Rate (CAGR %) for the forecast period (2020–2027), considering 2019 as the base year
- It elucidates potential revenue opportunity across different segments and explains attractive investment proposition matrix for this market
- This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, regional outlook, and competitive strategy adopted by leading players
- It profiles leading players in the global data science platform market based on the following parameters – company overview, financial performance, product portfolio, geographical presence, Data Science Platform market capital, key developments, strategies, and future plans
- Companies covered as part of this study include ALTERYX, INC, Anaconda, Inc, BigML, Inc, DataRobot, Inc, Google, IBM, Microsoft, RapidMiner, Inc, RStudio, Inc, SAS Institute Inc, The MathWorks, Inc, TIBCO Software Inc., and others
- Insights from this report would allow marketers and the management authorities of the companies to make informed decision regarding their future product launches, product upgrades, market expansion, and marketing tactics
- The global data science platform market report caters to various stakeholders in this industry including investors, suppliers, manufacturers, distributors, new entrants, and financial analysts
- Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global data science platform market.
Detailed Segmentation:
- Global Data Science Platform Market, By Component:
- Global Data Science Platform Market, By Deployment Type:
- Global Data Science Platform Market, By Enterprise Size:
- Global Data Science Platform Market, By Function:
- Marketing and Sales
- Finance
- Operations
- Others
- Global Data Science Platform Market, By End-use Industry:
- Retail
- Healthcare and Life sciences
- Banking, Financial Services, and Insurance (BFSI)
- Automotive
- IT and Telecommunication
- Construction
- Aerospace
- Others
- Global Data Science Platform Market, By Region:
- North America
- By Component:
- By Deployment Type:
- By Enterprise Size:
- By Function:
- Marketing and Sales
- Finance
- Operations
- Others
- By End-use Industry:
- Retail
- Healthcare and Life sciences
- Banking, Financial Services, and Insurance (BFSI)
- Automotive
- IT and Telecommunication
- Construction
- Aerospace
- Others
- By Country:
- Europe
- By Component:
- By Deployment Type:
- By Enterprise Size:
- By Function:
- Marketing and Sales
- Finance
- Operations
- Others
- By End-use Industry:
- Retail
- Healthcare and Life sciences
- Banking, Financial Services, and Insurance (BFSI)
- Automotive
- IT and Telecommunication
- Construction
- Aerospace
- Others
- By Country:
- UK
- Germany
- Italy
- France
- Russia
- Rest of Europe
- Asia Pacific
- By Component:
- By Deployment Type:
- By Enterprise Size:
- By Function:
- Marketing and Sales
- Finance
- Operations
- Others
- By End-use Industry:
- Retail
- Healthcare and Life sciences
- Banking, Financial Services, and Insurance (BFSI)
- Automotive
- IT and Telecommunication
- Construction
- Aerospace
- Others
- By Country:
- China
- Singapore
- Japan
- Rest of Asia Pacific
- Latin America
- By Component:
- By Deployment Type:
- By Enterprise Size:
- By Function:
- Marketing and Sales
- Finance
- Operations
- Others
- By End-use Industry:
- Retail
- Healthcare and Life sciences
- Banking, Financial Services, and Insurance (BFSI)
- Automotive
- IT and Telecommunication
- Construction
- Aerospace
- Others
- By Country:
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- Middle East and Africa
- By Component:
- By Deployment Type:
- By Enterprise Size:
- By Function:
- Marketing and Sales
- Finance
- Operations
- Others
- By End-use Industry:
- Retail
- Healthcare and Life sciences
- Banking, Financial Services, and Insurance (BFSI)
- Automotive
- IT and Telecommunication
- Construction
- Aerospace
- Others
- By Countries:
- GCC Countries
- Africa
- Rest of Middle East and Africa
- Company Profiles
- ALTERYX, INC.*
- Company Overview
- Product Portfolio
- Financial Performance
- Key Strategies
- Recent Developments/ Updates
- Anaconda, Inc
- BigML, Inc.
- DataRobot, Inc.
- Google
- IBM
- Microsoft
- RapidMiner, Inc
- RStudio, Inc.
- SAS Institute Inc.
- The MathWorks, Inc
- TIBCO Software Inc
- Others
“*” marked represents similar segmentation in other categories in the respective section.
