Contrive Datum Insights published a new report titled Data Science Platform Market Research Report 2023-2030. The report offers comprehensive data on emerging trends, market drivers, growth opportunities and restraints that can change the market dynamics of the industry. It delivers a comprehensive analysis of the market fragments which include product types, applications and competitive breakdowns.
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.
Global Data Science Platform Market Reports give a Key study on the industry status of the Data Science Platform Industry Manufacturer with the specific statistics, meaning, definition, SWOT Analysis, expert opinion, and recent development across the globe. The research report also covers the Market Size, Price, Sales, Revenue, Market share, Gross Margin, growth rate, and cost structure. The report aims to give an additional sample of the latest scenario, economic slowdown, and Covid-19 impact on overall Industry.
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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.
Competitive Landscape and Global Market Share Analysis:
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., Others
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.
Market Segmentation:
On the Basis of Component:
- Platform
- Services
o Professional Services
o Managed Services
- Support and maintenance
- Consulting
- Deployment and Integration
On the Basis of Type:
- Cloud
- On-premise
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
The report on the Data Science Platform market covers the following region (country) analysis:
- North America (U.S., Canada)
- Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, Australia, Southeast Asia, Rest of Asia Pacific)
- South America (Mexico, Brazil, Argentina, Columbia, Rest of South America)
- Middle East & Africa (GCC, Egypt, Nigeria, South Africa, Rest of Middle East and Africa)
Regional Insights:
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.
Following are the major TOC of the Data Science Platform Market:
Chapter 1: Data Science Platform Market Overview
Chapter 2: Global Economic Impact on Industry
Chapter 3: Global Data Science Platform Market Competition by Manufacturers
Chapter 4: Global Production, Profits (Value) by Region
Chapter 5: Global Supply (Production), Import, Export, Consumption, by Regions
Chapter 6: Global Price Trend by Type, Revenue (Value), Production
Chapter 7: Manufacturing Cost Analysis
Chapter 8: Global Market Analysis by Application
Chapter 9: Industrial Chain and Downstream Buyers, Sourcing Strategy
Chapter 10: Marketing Strategy Analysis, Distributors/Traders
Chapter 11: Market Effect Factors Analysis
Chapter 12: Global Data Science Platform Market Forecast
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Key Reasons to Purchase Data Science Platform Market report:
- The report provides a thorough examination of the manufacturing methods, as well as ideas to reduce development risk, major market growth challenges and strategic inputs to overcome the market threats.
- In-depth market analysis and an overview of the global Data Science Platform Market trend and commercial landscape are included in the report. In addition, the report discusses the effect of COVID-19 on the market.
- Reader can acquire a better interpretation of the Data Science Platform Market forecast’s future view and opportunities from the report.
- The report contains an analysis of recent developments as well as profiles of important market leaders and key players.
- To gain an understanding of the market strategies by the leading market players in the Data Science Platform
- The report analyses the most important driving and restraining factors in the industry, as well as their impact on global market growth.
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