(MENAFN- Ameliorate Digital Consultancy) Data Science Platform Market Overview
Global Data Science Platform Market Size, Status, and Forecast 2022-2030. In-depth research accumulated to offer the latest insights about acute features of the global Data Science Platform market. This report provides a detailed overview of key factors in the Data Science Platform Market and factors such as driver, restraint, past and current trends, regulatory scenarios and technology development. The impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Data Science Platform in a special period. This report also compares the markets of Pre COVID-19 and Post COVID-19. In addition, research considers the impact of the COVID-19/Russia-Ukraine War on the regional economy.
In 2021, the data science platforms market size was estimated at USD 96.3 billion and it is expected to hit around USD 378.7 billion by 2030, poised to grow at a compound annual growth rate (CAGR) of 16.43% over the forecast period 2022 to 2030.
Get a Sample PDF Copy of Latest Research on Data Science Platform Market 2022 before purchase:
As money is put into research and development, technology is developing quickly. Demand for technology that can boost productivity and efficiency rises as companies expand. The usage of software and platforms is being fueled by technological advancements like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). Modern platforms and tools for data processing are making a significant contribution to business development as data volumes increase daily.
One of the most widely used software tools in the market right now is data science platforms. This software uses a variety of machine learning and advanced analytics methods. It allows data scientists to develop their abilities, draw conclusions from data, and share their learnings through solo endeavors. Different tools created for each stage of the data modeling process are used in data science projects.
Some of the key players profiled in the study are
Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics, Datarpm, Rexer Analytics, Feature Labs and Others, and others., and Others.
Data Science Platform Market Segmentation:
On the Basis of Component:
o Professional Services
o Managed Services
Support and maintenance Consulting Deployment and Integration
On the Basis of Type:
On the Basis of Application:
Marketing Sales Logistics Finance & Accounting Customer Support Others
On the Basis of Industry Vertical
BFSI Retail & eCommerce Telecom & IT Media & Entertainment Healthcare & Life Sciences Government & Defense Manufacturing Transportation & Logistics
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia, and New Zealand, etc.
36% of the world's income in 2021 originated from North America. This is as a result of major regional market participants placing more and more emphasis on the ongoing growth of these platforms. For instance, in February 2020, the technology firm Oracle announced the launch of a cloud-based data science platform. Shared projects, team security guidelines, suitability, reproducibility, and model libraries are some of the features of the new platform.
The second-largest market percentage in 2021 belonged to Europe. More companies in the area are using data-driven digital transformation to accelerate growth as its use grows. With substantial development in data science platforms across developed and developing economies, Asia Pacific (APAC) has continued to offer attractive market opportunities for providers of data science platform solutions and services. Markets for data science platforms exist in China, India, and Japan, among other places. Due to its quickly developing technology-based economy, APAC is anticipated to experience the quickest growth in the demand for data science platform software and services over the course of the forecast period.
To Get Complete Access Of The Report Click Here:
Industry Development:
November 2021 IBM updates IBM SPSS Modeler 18.2.2. The new update comes with a sophisticated and versatile data mining workbench that allows users to easily and easily develop accurate predictive models without programming. In May 2021, Google updates Google Vertex AI, a newly managed ML platform on Google Cloud. The platform is designed to make it easier for developers to deploy and maintain AI models. It's an unusual announcement from Google I/O, which is usually focused on mobile and web developers and doesn't usually feature much Google Cloud news, but the fact that Google has chosen to unveil Vertex today means that this new service has a broad spectrum of developers. September 2021 Microsoft updates Microsoft Machine Learning Studio. A new update adds a new PyTorch extension library for agile deep learning experiments.
Table of Content of Data Science Platform Market:
1: Introduction, market driving force product Objective of Study, and Research Scope of the Global Data Science Platform market (2022-2030).
2: Exclusive Summary – the basic information of the Global Data Science Platform Market.
3: Changing Impact on Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Global Data Science Platform; Post COVID Analysis.
4: Presenting the Global Data Science Platform Market Factor Analysis, Post COVID Impact Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
5: Displaying the by Type, End User and Region/Country 2017-2022.
6: Evaluating the leading manufacturers of the Global Data Science Platform Market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile.
7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2030).
... To be continued
Read Detailed Index of full Research Study at@
Key Questions Answered in the Data Science Platform Market Report:
How much was the global Data Science Platform market in 2022? How much will the global Data Science Platform market worth in 2030? At what compound annual growth rate will the global Data Science Platform market grow? Which segment is estimated to lead the Construction Robot market during the forecast period? What is the key market driver for the growth of the global Data Science Platform market? A wealth of financial data & business strategy information is provided including:
Up-to-date company financials, sales & revenue figures. Revenue and market forecasts. Business model strategies for niche companies. A comprehensive explanation of company products, financials & portfolios.
Related Source:
CRM Market-
Cleaning Market-
CAR T-cell Therapy Market-
3D Printing Market-
About Us:
Contrive Datum Insights (CDI) is a global delivery partner of market intelligence and consulting services to officials at various sectors such as investment, information technology, telecommunication, consumer technology, and manufacturing markets. CDI assists investment communities, business executives, and IT professionals to undertake statistics-based accurate decisions on technology purchases and advance strong growth tactics to sustain market competitiveness. Comprising of a team size of more than 100 analysts and cumulative market experience of more than 200 years, Contrive Datum Insights guarantees the delivery of industry knowledge combined with global and country-level expertise.
Contact Us:
Anna B. | Head Of Sales
Contrive Datum Insights
Phone: + 91 9834816757 | +1 2152974078
Email:
Comments
No comment