Data Science Platform Market Outlook -2030
The data science platform market is a rapidly growing market that is being driven by the increasing demand for data-driven decision making in businesses of all sizes. Data science platforms provide a comprehensive set of tools and services that enable businesses to collect, store, analyze, and visualize data to gain insights that can be used to improve their operations.
The global data science platform market is expected to grow from USD 100.9 billion in 2022 to USD 345.0 billion by 2030, at a CAGR of 19.20% during the forecast period. The growth of the market is being driven by a number of factors, including:
- The increasing volume and complexity of data
- The growing demand for data-driven decision making
- The increasing adoption of cloud computing
- The growing popularity of open source data science platforms
Get PDF Sample Report + All Related Table and Graphs:
https://www.marketresearchfuture.com/sample_request/5201
Key Companies in the Data Science Platform Market
Some of the key players in the data science platform market include:
- Databricks
- IBM
- Microsoft
- SAS Institute
- Alteryx
- Amazon Web Services
- Tibco Software
- Oracle
- SAP
- MathWorks
These companies offer a wide range of data science platforms that cater to the needs of businesses of all sizes. They also offer a variety of services, such as training, consulting, and support, to help businesses get the most out of their data science platforms.
Market Segmentation
The data science platform market is segmented by deployment, component, and industry.
By deployment, the market is segmented into on-premises and cloud. The cloud segment is expected to grow at a faster rate during the forecast period, due to the increasing adoption of cloud computing by businesses.
By component, the market is segmented into software and services. The software segment is expected to account for the largest share of the market, due to the high demand for data science platforms that can be deployed and used easily.
By industry, the market is segmented into healthcare, retail, financial services, manufacturing, and others. The healthcare industry is expected to grow at a faster rate during the forecast period, due to the increasing demand for data-driven decision making in healthcare.
Top Impacting Factors
The following are some of the top impacting factors in the data science platform market:
- Increasing volume and complexity of data
- Growing demand for data-driven decision making
- Increasing adoption of cloud computing
- Growing popularity of open source data science platforms
- Government regulations
- Skill shortage
Regional Insights
The global data science platform market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
North America is expected to be the leading market for data science platforms during the forecast period, due to the high adoption of data science technologies in the region. Europe is expected to be the second largest market, followed by Asia Pacific.
Industry Latest News
- In February 2023, IBM announced the acquisition of Databand.ai, a provider of data observability solutions. This acquisition will help IBM to strengthen its data science platform offerings.
- In January 2023, Microsoft announced the general availability of Azure Machine Learning Studio, a cloud-based data science platform. This platform makes it easy for businesses to build and deploy machine learning models.
- In December 2022, Google announced the launch of Vertex AI, a unified data science platform. This platform provides a single place for businesses to build, train, and deploy machine learning models.
These are just a few of the latest news in the data science platform market. The market is constantly evolving, and new developments are being announced all the time.
Browse Complete Report: https://www.marketresearchfuture.com/reports/data-science-platform-market-5201
POS Software Market Research Report – Global Forecast till 2030
Core Banking Solution Market Research Report – Global Forecast till 2030
