The global Data Science Platform market size is expected to be worth around US$ 25.92 billion by 2027, according to a new report by Vision Research Reports.
The global Data Science Platform market size was valued at US$ 3.92 billion in 2019 and is anticipated to grow at a CAGR of 26.8% during forecast period 2020 to 2027.
Technological advancements such as integration of Natural Language Processing (NLP) and (ML) are at a remarkably quick pace. Companies such as Microsoft Corporation today are shifting towards the adoption of high-level strategies to gain a competitive edge in the market. With rapid transformation, data has become a very critical asset for any organization. Thus, it has become essential for companies to look for data science teams to gain substantial insights from the gathered data.
Numerous data science teams have grown out of their existing tools and are experiencing a lack of collaboration and scalability as they become overpowered by commonplace operational errands. To overcome this problem, companies are now opting for data science platforms that are modular or open, collaborative, scalable, multi-user, and support the entire pipeline of production. Factors such as business optimization, model deployment, model sharing, model management, scalability, reproducibility, and agility provided by these platforms have substantially contributed to rapid adoption.
Data science has become very critical for business today. As the number of tools, models, and model creators is increasing, the need for a uniform data science platform that can provide comprehensive solutions is increasing. To understand which tool to use when and manage the complexity associated with managing a vast quantity of data and gain flexibility, the adoption of these platforms is increasing. These platforms are providing companies with an end-to-end process of managing, deploying, and creating analytics models in a collaborative and open environment.
The marketing and sales segment accounted for the largest revenue share of over 32% in 2019. Based on application, the market is segmented into marketing and sales, logistics, finance and accounting, customer support, and others. The largest revenue share of the marketing and sales segment is due to the various advantages offered, such as using data science, the marketing and sales department can get more insights into the buyer’s persona and spend marketing budget, accordingly, thereby generating more Return on Investment (ROI). Apart from this, factors such as reduced financial risk due to precise spending calculation, more predictable revenue generation, and enhanced customer experience contribute to the adoption of the platform in the segment.
The platforms segment accounted for the largest revenue share of over 83% in 2019. This is due to the rising adoption of data since technology across large and medium enterprises. Based on components, the market is segmented into platforms and services. Companies are focusing on deploying products that can provide them with standardization and reproducibility. This can be achieved by deploying data science platforms.
The BFSI segment accounted for the largest revenue share of over 19% in 2019. The market is segmented into IT and telecommunication, healthcare, BFSI, manufacturing, retail and e-commerce, energy and utilities, government, and others based on verticals. The healthcare segment is anticipated to grow during the forecast period. One of the prominent applications of this platform is in medical imaging. Significant focus on advancing healthcare delivery is contributing to the rapid adoption of the technology in the segment.
North America accounted for the largest revenue share of 35.2% in 2019. This is due to a rising focus on these platforms' further advancements by key market players in the region. For instance, In February 2020, Oracle, a technology company, announced the launch of a cloud-based data science platform. The new platform capabilities include auditability, reproducibility, team security policies, model catalogs, and shared projects.
TIBCO Software Inc.
SAS Institute Inc.
The MathWorks, Inc.
Marketing & Sales
Finance and Accounting
IT & Telecommunication
Retail & E-commerce
Energy and Utilities
The Middle East and Africa (MEA)
The Data Science Platform market research report covers definition, classification, product classification, product application, development trend, product technology, competitive landscape, industrial chain structure, industry overview, national policy and planning analysis of the industry, the latest dynamic analysis, etc., and also includes major. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.
The report provides size (in terms of volume and value) of Data Science Platform market for the base year 2019 and the forecast between 2020 and 2027. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.
This report focuses on the global Data Science Platform market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Science Platform market development in United States, Europe and China.
It is pertinent to consider that in a volatile global economy, we haven’t just conducted Data Science Platform market forecasts in terms of CAGR, but also studied the market based on key parameters, including Year-on-Year (Y-o-Y) growth, to comprehend the certainty of the market and to find and present the lucrative opportunities in market.
In terms of production side, this report researches the Data Science Platform capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and type.
In terms of consumption side, this report focuses on the consumption of Data Science Platform by regions (countries) and application.
Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the global Data Science Platform market. These figures have been provided in terms of both revenue and volume for the period 2016 to 2027. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.
With regard to production bases and technologies, the research in this report covers the production time, base distribution, technical parameters, research and development trends, technology sources, and sources of raw materials of major Data Science Platform market companies.
Regarding the analysis of the industry chain, the research of this report covers the raw materials and equipment of Data Science Platform market upstream, downstream customers, marketing channels, industry development trends and investment strategy recommendations. The more specific analysis also includes the main application areas of market and consumption, major regions and Consumption, major Chinese producers, distributors, raw material suppliers, equipment providers and their contact information, industry chain relationship analysis.
The research in this report also includes product parameters, production process, cost structure, and data information classified by region, technology and application. Finally, the paper model new project SWOT analysis and investment feasibility study of the case model.
Overall, this is an in-depth research report specifically for the Data Science Platform industry. The research center uses an objective and fair way to conduct an in-depth analysis of the development trend of the industry, providing support and evidence for customer competition analysis, development planning, and investment decision-making. In the course of operation, the project has received support and assistance from technicians and marketing personnel in various links of the industry chain.
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.
Prominent players in the market are predicted to face tough competition from the new entrants. However, some of the key players are targeting to acquire the startup companies in order to maintain their dominance in the global market. For a detailed analysis of key companies, their strengths, weaknesses, threats, and opportunities are measured in the report by using industry-standard tools such as the SWOT analysis. Regional coverage of key companies is covered in the report to measure their dominance. Key manufacturers of Data Science Platform market are focusing on introducing new products to meet the needs of the patrons. The feasibility of new products is also measured by using industry-standard tools.
Key companies are increasing their investments in research and development activities for the discovery of new products. There has also been a rise in the government funding for the introduction of new Data Science Platform market. These factors have benefited the growth of the global market for Data Science Platform. Going forward, key companies are predicted to benefit from the new product launches and the adoption of technological advancements. Technical advancements have benefited many industries and the global industry is not an exception.
New product launches and the expansion of already existing business are predicted to benefit the key players in maintaining their dominance in the global market for Data Science Platform. The global market is segmented on the basis of region, application, en-users and product type. Based on region, the market is divided into North America, Europe, Asia-Pacific, Latin America and Middle East and Africa (MEA).
In this study, the years considered to estimate the market size of Data Science Platform are as follows:
Reasons to Purchase this Report:
- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Market Size Estimation
Top-down and bottom-up approaches are used to estimate and validate the global market size for company, regional division, product type and application (end users).
The market estimations in this report are based on the selling price (excluding any discounts provided by the manufacturer, distributor, wholesaler or traders). Market share analysis, assigned to each of the segments and regions are achieved through product utilization rate and average selling price.
Major manufacturers & their revenues, percentage splits, market shares, growth rates and breakdowns of the product markets are determined through secondary sources and verified through the primary sources.
All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or others factors are accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Vision Research Reports and presented in this report.
Market Breakdown and Data Triangulation
After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation. Extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report.
Secondary Sources occupies approximately 25% of data sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on. This research study includes secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; investor presentations; and SEC filings of companies.
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.
The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.
The study objectives of this report are:
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