Global Data Science Platform Market, By Component Type (Platform and Services), Function Division (Marketing, Sales, Logistics, Finance and Accounting, Customer Support, Business Operations and Others), Deployment Model (On-Premises and Cloud based), Organization Size (Small and Medium-sized Enterprises (SMEs) and Large Enterprises), End User Application (Banking, Financial Services, and Insurance (BFSI), Telecom and IT, Retail and E-commerce, Healthcare and Life sciences, Manufacturing, Energy and Utilities, Media and Entertainment, Transportation and Logistics, Government and Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028.
Increase in the need to extract in-depth insights from voluminous data, growing adoption of cloud based solutions by small and medium scale organisations and rising prevalence of digitization especially in the developing economies are the major factors attributable to the growth of thedata science platformmarket. Data Bridge Market Research analyses that the data science platformmarket will exhibit a CAGR of 29.98% for the forecast period of 2021-2028. This means that thedata science platformmarket would stand tall at a market value of USD 392.98 billion by 2028.
Data science platform is a framework that consists of the whole life cycle of data science and related projects. The data science platform is used to extract and explore information from various sources. This helps in deeply understanding the consumer behaviour and therefore, make in making informed decisions.
Increased adoption of advanced technologies such as artificial intelligence, machine learning and so on by small and medium scale enterprises will emerge as the major market growth driving factor. Rising inclination of enterprises toward data-intensive business strategies and growing research and development activities by the various verticals will further aggravate the growth of the market. Growth in the volume of organizational data and rise in the demand for business analytical tools are some other factors bolstering the growth of market.
However, high initial investment associated with the platform will act as a growth restraint for the market. Rising security and privacy concerns will further dampen the growth rate of the market. Dearth of skilled personnel or trained expertise will yet again hamper the market growth rate.
This data science platform market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on data science platform market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Data Science Platform Market Scope and Market Size
The data science platform market is segmented on the basis of component type, function division, deployment model, organization size and end user application. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- By the component type, the data science platform market is segmented into platform and services. Services segment has been further segmented into managed services and professional services. Professional services segment has been further bifurcated into training and consulting, integration and deployment and support and maintenance.
- Based on function division, the data science platform market is segmented into marketing, sales, logistics, finance and accounting, customer support, business operations and others.
- Based on deployment model, the data science platform market is segmented into on-premises and cloud based.
- On the basis of organization size, the data science platform market is segmented into small and medium-sized enterprises (SMEs) and large enterprises.
- Based on the end user application, the data science platform market is segmented into following sectors banking, financial services, and insurance (BFSI), telecom and IT, retail and e-commerce, healthcare and life sciences,manufacturing, energy and utilities, media and entertainment, transportation and logistics, government and others.
Data Science Platform Market Country Level Analysis
The data science platform market is analysed and market size, volume information is provided by country, component type, function division, deployment model and end user application as referenced above.
The countries covered in the data science platform market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the data science platform market and will continue to flourish its trend of dominance during the forecast period owing to the presence of major players in this region. Asia-Pacific will however, register the highest CAGR for this period. This is because of the increased focus of the companies on customer retention.
The country section of the data science platform market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Data Science Platform Market Share Analysis
The data science platform market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to data science platform market.
The major players covered in the data science platform market report are Oracle., VMware Inc., Google LLC, IBM, Microsoft, Domino Data Lab, Inc., DataRobot, Inc., Wolfram Alpha LLC, Anaconda Inc., Dataiku., Bridgei2i Analytics, Feature Labs, Inc., Datarpm, Rexer Analytics., Civis Analytics, Sense, Inc., Alteryx, Inc., Rapidminer, Inc., Snowflake Inc., MeritB2B., Cazena Inc., and Teradata., among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Customization Available : Global Data Science Platform Market
Data Bridge Market Research is a leader in consulting and advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customised to include production cost analysis, trade route analysis, price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), import export and grey area results data, literature review, consumer analysis and product base analysis. Market analysis of target competitors can be analysed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.