With 28.00% CAGR Data Science Platform Market was valued at USD 686.71 billion 2022 to 2029
The global data science platform market was valued at USD 95.30 billion in 2021 and is
expected to reach USD 686.71 billion by 2029, registering a CAGR of 28.00%
during the forecast period of 2022-2029.
Key Pointers Covered in Data Science Platform Market Industry Trends and
Forecast to 2029
·
Market
Size
·
Market
New Sales Volumes
·
Market
Replacement Sales Volumes
·
Market
Installed Base
·
Market
By Brands
·
Market
Procedure Volumes
·
Market
Product Price Analysis
·
Market
Regulatory Framework and Changes
·
Market
Shares in Different Regions
·
Recent
Developments for Market Competitors
·
Market
Upcoming Applications
·
Market
Innovators Study
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Benefits of Considering this Report:
·
This
report is compiled using a vigorous and thorough research methodology. Data
Bridge Market Research is also known for its data accuracy and granular market
reports.
·
A
complete picture of the competitive scenario of Data Science Platform Market is
depicted by this report.
·
The
report consists of a vast amount of data about the recent product and
technological developments in the markets.
·
The
insights in the report are easy to understand and include a graphical
representation of the numbers in the form of histograms, bar graphs, pie
charts, etc.
Data Science Platform Market Scope and Market Size
The global
data science platform market is segmented on the basis of component type,
function division, deployment model, organization size and end user
application. The growth amongst these segments will help you analyze meagre
growth segments in the industries and provide the users with a valuable market
overview and market insights to help them make strategic decisions for
identifying core market applications.
Component Type
·
Platform
·
Services
Function
Division
·
Marketing
·
Sales
·
Logistics
·
Finance
and Accounting
·
Customer
Support
·
Business
Operations
·
Others
Deployment Model
·
On-Premises
·
Cloud
based
Organization
Size
·
Small
and Medium-sized Enterprises (SMEs)
·
Large
Enterprises
End User
Application
·
Banking,
Financial Services, and Insurance (BFSI)
·
Telecom
and IT
·
Retail and
E-commerce
·
Healthcare
and Life sciences
·
Manufacturing
·
Energy
and Utilities
·
Media
and Entertainment
·
Transportation
and Logistics
·
Government
·
Others
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Full Access of Report
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Some of the key questions answered in this report:
·
How has the Data Science Platform Market
performed so far and how will it perform in the coming years?
·
What are the key regional markets?
·
What is the breakup of the market based on the
procedure?
·
What is the breakup of the market based on the
injury location?
·
What is the breakup of the market based on the
end user?
·
What are the various stages in the value chain
of the industry?
·
What are the key driving factors and challenges
in the industry?
·
What is the structure of the Data Science
Platform Market and who are the key players?
·
What is the degree of competition in the
industry?
Market Analysis and Insights: Data Science
Platform Market
·
A data science
platform is a pre-packaged software program that offers the capabilities
necessary for a data science project's whole life cycle. Platforms for data
science are essential tools for data scientists. It makes model creation, model
distribution, and data exploration possible. It offers a large-scale computing
infrastructure and makes data preparation and visualization easier. Data
science platforms offer a centralized platform that encourages user
collaboration. Data science platforms act as a one-stop shop for data modelling
since they include the APIs necessary for model creation and testing with
little help from outside engineers.
·
The leading Data
Science Platform Market report is the most suitable solution for the business
requirements in many ways. The report aids in achieving an extreme sense of
evolving industry movements before the competitors. The report also covers
market overview, premium insights, key insights and company profiles in detail
of the key market players. The best tools have been adopted to generate this
report which is SWOT analysis and Porter’s Five Forces analysis. This market
survey report is truly a key to achieve the new horizon of success. In the
large scale Data Science Platform Market report, company profiles of the key
market competitors are analysed with respect to company snapshot, geographical
presence, product portfolio, and recent developments.
·
The use of data
science platforms by medium-sized and small-sized businesses has grown
significantly in recent years. Additionally, firms are increasingly inclined to
use cutting-edge technologies, such as automation and digitalization, which
create a tons of data as well as complicated business procedures. As a result,
the need for data science platform solutions is increasing, opening up
profitable opportunities for businesses in the market.
·
The amount of
data that enterprises collect is constantly rising due to the growth of social
media, IoT, and multimedia, which have generated an overwhelming flow of data
in both structured and unstructured forms. For instance, just the past two
years have seen the creation of about 90% of the world's data. The growth rate
of machine-based and human-generated data is generally 10 times greater than
that of traditional corporate data. The growth rate of machine data is
exponential and 50 times quicker. The majority of data is consumer driven and
oriented. Today's "always-on" consumers produce the majority of data
produced worldwide. The enormous growth in data presents chances for businesses
to learn new things, which has led to a rise in the demand for fresh
approaches. This in turn significantly influences the market for data science
platforms.
Data Science Platform Market Country Level Analysis
The countries covered in the
data science platform market report are U.S., Canada and Mexico in North
America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia,
Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South
Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest
of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel,
Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle
East and Africa (MEA), Brazil, Argentina and Rest of South America as part of
South America.
Data Science Platform Market Share Analysis
The data science platform
market competitive landscape provides details by competitor. Details included
are company overview, company financials, revenue generated, market potential,
investment in research and development, new market initiatives, global
presence, production sites and facilities, production capacities, company
strengths and weaknesses, product launch, product width and breadth, application
dominance. The above data points provided are only related to the companies'
focus related to data science platform market.
Key player Data Science Platform Market
·
IBM
(U.S.)
·
DataRobot
Inc., (U.S.)
·
apheris
AI GmbH (Germany)
·
The
Digital Talent Ecosystem (U.S.)
·
Databand
(Israel)
·
dotData
(U.S.)
·
Explorium
Inc., (U.S.)
·
Noogata
(Israel)
·
Tecton
Inc., (U.S.)
·
Spell
Designs Pty Ltd (U.S.)
·
Arrikto
Inc., (U.S.)
·
Iterative
(U.S.)
·
Google
Inc (U.S.)
·
Microsoft
(U.S.)
·
SAS
Institute Inc., (U.S.)
·
Amazon
Web Services, Inc. (U.S.)
·
The
MathWorks, Inc. (U.S.)
·
Cloudera
Inc., (U.S.)
·
Teradata
(U.S.)
·
TIBCO
Software Inc. (U.S.)
·
ALTERYX,
INC. (U.S.)
·
RapidMiner
(U.S.), Databricks (U.S.)
·
Snowflake
Inc., (U.S.)
·
H2O.ai
(U.S.)
·
Altair
Inc., (U.S.)
·
Anaconda
Inc., (U.S.)
·
SAP SE (U.S.)
·
Domino
Data Lab Inc., (U.S.)
·
Dataiku
(U.S.)
MAJOR
TOC OF THE REPORT
·
Chapter
One: Introduction
·
Chapter
Two: Market Segmentation
·
Chapter
Three: Market Overview
·
Chapter
Four: Executive Summary
·
Chapter
Five: Premium Insights
·
Chapter
Six: Data Science Platform Market Share by Product & Procedure type
Get TOC Details:
https://www.databridgemarketresearch.com/toc/?dbmr=global-data-science-platform-market
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