Global Data Science Platform Market: Overview

Up until recently, oil was considered the most valuable resource on earth for it powers the cars on our roads and airplanes in the sky and is an important source of generating electricity needed to operate industries and light up our homes. Not anymore. The most valuable resource these days is data. With the proliferation of smart mobile gadgets, popularity of Internet of Things (IoT), and cloud, organizations these days are staring at gazillions of data. Just like oil, the data is of no use as such, but hold out immense potential if tapped into properly. To do so, data science platforms come in handy.

A data science platform comprises of all the tools needed for carrying out the lifecycle of the data science project spanning various phases such data ideation, integration and exploration, model development, and model deployment. It enables data scientists to improve their analysis by running, tracking, reproducing, sharing, and deploying analytical models faster. Typically, such tasks need massive engineering for building and operating analytical models. This is where a data science platform can help by offering additional powerful tools to improve analysis, which in turn, allows framing of better strategies.

Global Data Science Platform Market: Trends and Opportunities

The market for data science platform is expected to see booming growth over the course of next few years on account of surging application of data analytics and big data for different business decisions and operations. Enterprises across the world are increasingly opting for methods for simpler use of data through big data technologies to promote their business and this is catalyzing demand for data science platforms.

The data science platforms help derive insights from raw data, reproduce data tables for descriptive statistics, and create segments depending upon date, module, and event type for root cause analysis through data visualization. The algorithm leveraged in a data science platform can also offer functionality for predictive modeling and a mechanism, which can bring in the predictive models into operations.

Depending upon the type, the global market for data science platform can be split into close platform and open platform. The key end users driving up demand in the market are pharmaceuticals and healthcare, BFSI, meteorology, logistics, and transportation.

Global Data Science Platform Market: Regional Outlook

Latin America, North America, Eastern Europe, Western Europe, Japan, Asia Pacific excluding Japan (APEJ), and the Middle East and Africa are some of the key regions in the global market for data science platform. The region which holds a dominant position among them at present is North America. Presence of numerous large data centers and swift development of data science platform products in the region have phenomenally boosted its market.

APEJ, powered by nations of Singapore, India, and Korea, the flourishing IT industry and growing number of data centers, is also emerging as an attractive data science platform market. Western Europe and Eastern Europe are other key regions.

Companies Mentioned in the Report

Domino Data Lab, Inc., Cloudera, Inc., IBM, Wolfram, and ANGOSS SOFTWARE CORPORATION are to name a few of the prominent participants in the global data science platform market. The report by Transparency Market Research throws light on their key strategies and services. It also studies their sales and revenues and possible growth trajectory. To that end, it makes use of analytical tools such as SWOT Analysis and Porter’s Five Forces.

The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.

The study is a source of reliable data on:

  • Market segments and sub-segments
  • Market trends and dynamics
  • Supply and demand
  • Market size
  • Current trends/opportunities/challenges
  • Competitive landscape
  • Technological breakthroughs
  • Value chain and stakeholder analysis

The regional analysis covers:

  • North America (U.S. and Canada)
  • Latin America (Mexico, Brazil, Peru, Chile, and others)
  • Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
  • Eastern Europe (Poland and Russia)
  • Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
  • Middle East and Africa (GCC, Southern Africa, and North Africa)

The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases). The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry’s value chain.

A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period.

Highlights of the report:

  • A complete backdrop analysis, which includes an assessment of the parent market
  • Important changes in market dynamics
  • Market segmentation up to the second or third level
  • Historical, current, and projected size of the market from the standpoint of both value and volume
  • Reporting and evaluation of recent industry developments
  • Market shares and strategies of key players
  • Emerging niche segments and regional markets
  • An objective assessment of the trajectory of the market
  • Recommendations to companies for strengthening their foothold in the market    

Note: Although care has been taken to maintain the highest levels of accuracy in TMR’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.

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Data Science Platform Market

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