Advance Market Analytics recently introduced Global Data Science Platform Market study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2025. Data Science Platform Market explores effective study on varied sections of Industry like opportunities, size, growth, technology, demand and trend of high leading players. It also provides market key statistics on the status of manufacturers, a valuable source of guidance, direction for companies and individuals interested in the industry.
The data science platform is a package of different tools which takes care of the entire data modeling process. Data science platform gives power data scientists to carve out valuable insights from data collected at sources. The data science platform gives an advantage to businesses to make data-driven decisions to maximize their output and enhance customer satisfaction. Moreover, Data science tools create value by mining large amounts of structured and unstructured data to identify patterns that can help an organization to more effectively manage costs and achieve competitive advantage.
Major Players in This Report Include,
IBM Corporation (United States), Microsoft Corporation (United States), Alphabet Inc. (Google) (United States), SAP (Germany), SAS Institute Inc. (United States), Alteryx, Inc. (United States), Altair Engineering, Inc. (United States), RapidMiner, Inc. (United States), Cloudera, Inc. (United States) and MathWorks (Australia)
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- Integration of Data into the Core Business Processes Has Grown Significantly
- Rise of automated Data Science and Machine Learning
- Super-sized Data Science in the Cloud
- Advances in Quantum Computing
- Growing Demand from End-Use Industries owing to Flexible and Collaborative Environments
- Enable Organizations to Incorporate Data-Driven Decisions into Operational and Customer-Facing Systems
- Reduction in Redundancy and Stimulates Innovation
- Increased Efficiency, And Generation of New Revenue Streams
- Pattern Identification Helps Institutions and Companies Recognize New Market Opportunities
- High Investment Made by Enterprises owing to Changes in Technology
This research is categorized differently considering the various aspects of this market. It also evaluates the current situation and the future of the market by using the forecast horizon. The forecast is analyzed based on the volume and revenue of this market. The tools used for analyzing the Global Data Science Platform Market research report include SWOT analysis.
Market Leaders and their expansionary development strategies
On February 13, 2020, Alphabet-owned Google has completed its USD 2.6 billion buyouts of privately held big data analytics firm Looker Data Sciences after winning clearance from Britain’s competition watchdog.
On February 20, 2020, Oracle has announced the availability of the Oracle Cloud Data Science Platform. This Oracle Cloud Infrastructure Data Science platform will help enterprises to collaboratively build, train, manage and deploy machine learning models to increase the success of data science projects.
The Global Data Science Platform Market segments and Market Data Break Down are illuminated below:
by Type (Automation Tools, Proprietary or GUI-Driven Data Science Platforms, Code-First Data Science Platforms), Function (Marketing & Sales, Logistics, Finance and Accounting, Customer Support, Others (Operation and HR)), Enterprise Size (Large Enterprises, Small and Medium Enterprises (SMEs)), Deployment Type (On-Premises, Cloud-based), Industry Vertical (Information Technology and Telecom, Healthcare and Life Sciences, Retail, Media & Entertainment, Manufacturing, Transportation and Logistics, Energy and Utilities, Government and Defense, BFSI, Others), Component (Software, Services)
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The regional analysis of Global Data Science Platform Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2019-2025.
Strategic Points Covered in Table of Content of Global Data Science Platform Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Data Science Platform market
Chapter 2: Exclusive Summary – the basic information of the Data Science Platform Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Data Science Platform
Chapter 4: Presenting the Data Science Platform Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region 2013-2018
Chapter 6: Evaluating the leading manufacturers of the Data Science Platform market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Data Science Platform Market is a valuable source of guidance for individuals and companies.
What benefits does AMA research studies provides:
- Supporting company financial and cash flow planning
- Open up New Markets
- To Seize powerful market opportunities
- Key decision in planning and to further expand market share
- Identify Key Business Segments, Market proposition & Gap Analysis
- Assisting in allocating marketing investments
Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
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