Data Science Platform Market Size & Growth Analysis Report, 2019-2025
The data science platform market is anticipated to grow at a significant CAGR of over 25% during the forecast period. The companies across the globe are pursuing data-driven digital transformation, which in turn, is driving the global data science platform industry. The data science platform is flexible, integrative, and supportive, and includes of all the tools required by the team and company. The function of the data science platform includes integrating and exploring data from various sources. Then coding and building models that leverage that data and deploying those models into production and hence serving up the results.
The use of a data science platform saves a lot of time on basic operations such as maintaining models once deployed, which is driving the adoption of the platform. Also, the need for collaboration is rising rapidly whether it’s between two organizations or within the company. The data science platform fosters collaboration and encourages high-quality work. The task of collaboration within the team is frustrating that could be solved with the data science platform as it can create logical workflows and facilitate integrations as well as provide with version controls. Data science platforms are also used for the scaling process of the company as it eases the process of deployment and creates better models with less laborious maintenance. All these functionalities offered by the data science platform to the companies across the globe are driving the growth of the data science platform market.
Moreover, MATLAB
is one of the most commonly known data science platforms offered by MathWorks.
MATLAB is designed for use within data analysis in the finance sector which is
rising rapidly in recent years. It is easy to understand the platform and
employs option for cloud processing, neural systems, and machine learning,
allowing to scrub huge amounts of data. Hence, such data science platforms are
found to be increasing their use in the organization, which in turn, is driving
the data science platform market growth during the forecast period.
A full
Report of Data Science Platform Market is Available at: https://www.omrglobal.com/industry-reports/data-science-platform-market
Data Science
Platform Market- Segmentation
·
Cloud-Based
·
On-Premises
By Business
Functions
·
Sales
·
Marketing
·
Logistics
·
Others
By Industry
Verticals
·
IT
& Telecom
·
Healthcare
·
BFSI
·
Manufacturing
·
Retail
·
Others
Regional
Analysis
North America
·
United States
·
Canada
Europe
·
UK
·
Germany
·
Spain
·
France
·
Italy
·
Rest of Europe
Asia-Pacific
·
India
·
China
·
Japan
·
Rest of APAC
Rest of The World
- Latin America
- Middle East and Africa
Company
Profiles
·
Altair
Engineering Inc.
·
Alteryx,
Inc.
·
Anaconda
Inc.
·
Civis
Analytics, Inc.
·
Cloudera,
Inc.
·
Databricks,
Inc.
·
Dataiku,
Inc.
·
Domino
Data Lab, Inc.
·
Google
LLC
·
H2O.ai,
Inc.
·
IBM
Corp.
·
KNIME
AG
·
Microsoft
Corp.
·
Oracle
Corp.
·
Rapid
Insight
·
RapidMiner,
Inc.
·
Rexer
Analytics
·
RStudio,
PBC
·
SAP SE
·
SAS
Institute, Inc.
·
The
MathWorks, Inc.
·
Wolfram
Research, Inc.
Reasons for Buying from us –
1. We cover more than
15 major industries, further segmented into more than 90 sectors.
2. More than 120
countries are for analysis.
3. Over 100+ paid
data sources mined for investigation.
4. Our expert
research analysts answer all your questions before and after purchasing your report.
For More Customized Data, Request for
Report Customization @ https://www.omrglobal.com/report-customization/data-science-platform-market
About Orion Market Research
Orion Market Research (OMR) is a market research and consulting company
known for its crisp and concise reports. The company is equipped with an
experienced team of analysts and consultants. OMR offers quality syndicated
research reports, customized research reports, consulting and other
research-based services.
For
More Information, Visit Orion Market Research
Media
Contact:
Company
Name: Orion Market Research
Contact
Person: Mr. Anurag Tiwari
Email: info@omrglobal.com
Comments
Post a Comment