Scope of the Study
Data Science and Machine Learning Platforms enables businesses to develop and deploy their own data science and machine learning solutions. These platform provides real-time data streaming and more advanced data pipeline to redefine big data into different categories such as actionable and fast data. These platforms are widely being used by data scientists, business analysts, data engineers, and developers in different fields of business to prepare data, build models, and operationalize analytics. In the coming years, adoption of data science and machine learning platforms in various industry verticals is expected to rise exponentially. In addition, the technological advancement and proliferation in data generation will boost the market growth in upcoming years.
The market study is being classified and major geographies with country level break-up.
Anaconda (United States), Alteryx (United States), Databricks(United States), Dataiku (United States), DataRobot (United States), Datawatch (United States), Domino Data Lab (United States), Google (United States), H2O.ai (United States) IBM (United States), KNIME (Switzerland), MathWorks (United States), Microsoft (United States), RapidMiner (United States), SAP (Germany), SAS (United States) and TIBCO Software (United States) are some of the key players profiled in the study.
Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Data Science and Machine Learning Platforms market throughout the predicted period.
AdvanceMarketAnalytics has segmented the market of Global Data Science and Machine Learning Platforms market by Type, Application and Region.
On the basis of geography, the market of Data Science and Machine Learning Platforms has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- Enterprises Focusing On Ease Of Use Methods To Drive Business
- Growing Need To Extract In-Depth Insights From Voluminous Data To Gain Competitive Advantage
- Increasing Adoption Of Cloud Deployments
- Adoption Of Big Data Technology
- Data Privacy, Security, And Reliability Concerns
- Higher Inclination Of Enterprises Toward Data-Intensive Business Strategies
- Rise In Adoption Of The Internet of Things (IoT) Technology
- Proliferation in Data Generation
- Lack of Adequately Skilled Workforce
In April 2019, Google introduced an Artificial Intelligence (AI) platform to ease the development of Machine Learning (ML) projects. This platform is integrated with toolchain to assist in building and running ML applications.
Key Target AudienceNew Entrants/Investors, Analysts and Strategic Business Planners, Data Science and Machine Learning Platforms Providers, Cloud Service Providers, Business Solution Providers, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and End User Industry
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Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase