Global data science platform market research report: by business function (marketing, sales, logistics, human resources), deployment (on-demand, on-premises), vertical (BFSI, healthcare, retail, IT, transportation) – Forecast till 2023

ID: MRFR/ICT/3763-HCR | February 2021 | Region: Global | 100 pages

A data science platform is a framework of the entire life cycle of a data science project. Data science platform contains all the tools required for executing the lifecycle of the data science project spanning across different phases such as data ideation, integration and implementation, model development and model deployment. Data science platform helps organizations to enhance their analysis by helping them run, track, reproduce, share and deploy analytical models faster. In general, all these tasks require lot of engineering effort and are difficult to build and maintain analytical models. Data science platforms give the data science teams a leg up in the competitive race to leverage analytics effectively., The global data science platform market is being driven by factors such as global rapid advancement in big data technologies, demand for big data analysis to gain deeper insights into consumer buying patterns, and need for ease of use technological methods to drive business effectiveness. Data science platform aid to facilitate a high level of association across data scientists, business analysts, data engineers, and developers in different fields of business. Data Science platforms help the organizations to prepare data, build models and operationalize analytics., The intensity of rivalry in the global data science platform market is moderate. With the emergence of new data science technologies, vendors are either enhancing their products in line with the changing end user requirements or aggressively engaging into organic and inorganic growth strategies in the global market., The key impacting factors of the data science platform market include data explosion, realization of importance of data science by organizations, increase in data collection & analysis from mobile devices, advancement of big data technologies, growing concern of data security & protection, and high initial investments. These factors are significantly contributing to the growth of the data science platform market and are estimated to impact the market growth during the forecast period., Segmentation, The market for global data science platform market is divided on the basis of business function, deployment model, vertical and region. On the basis of business function the segment is further classified into marketing, sales, logistics, human resources, operations, risk management, customer support and many more. On the basis of deployment the segment is further c

Market Synopsis

The global data science platform market is being driven by factors such as global rapid advancement in big data technologies, demand for big data analysis to gain deeper insights into consumer buying patterns, and need for ease of use technological methods to drive business effectiveness. Data science platform aid to facilitate a high level of association across data scientists, business analysts, data engineers, and developers in different fields of business. Data Science platforms help the organizations to prepare data, build models and operationalize analytics.

The intensity of rivalry in the global data science platform market is moderate. With the emergence of new data science technologies, vendors are either enhancing their products in line with the changing end user requirements or aggressively engaging into organic and inorganic growth strategies in the global market.

The key impacting factors of the data science platform market include data explosion, realization of importance of data science by organizations, increase in data collection & analysis from mobile devices, advancement of big data technologies, growing concern of data security & protection, and high initial investments. These factors are significantly contributing to the growth of the data science platform market and are estimated to impact the market growth during the forecast period.

Segmentation

The market for global data science platform market is divided on the basis of business function, deployment model, vertical and region. On the basis of business function the segment is further classified into marketing, sales, logistics, human resources, operations, risk management, customer support and many more. On the basis of deployment the segment is further classified into on-demand and on-premise. The global data science platform covers a wide area of verticals such as BFSI, retail, healthcare, IT, transportation, energy and utilities, government and defense and many more.

Data Science Platform Market Image

The global data science platform marker is estimated to grow up to USD 115 billion with a CAGR ~ 29% through the forecast period.

Key Findings

First a real estate from Durham, using data science and machine learning to help real estate agents. Their SaaS platform analyzes over 700 personal factors such as demographics, income changes, and purchasing behavior and life events of every agent’s contact and cross-references them against national averages. The resulting seller score indicates how likely they are to sell their home, helping agents know exactly when to reach out for the best chance at landing a deal.

Veritone, Inc., a leading provider of artificial intelligence (AI) and cognitive solutions, has acquired the advanced data analytics software and related intellectual property (IP) assets of Atigeo Corporation.

American Family Insurance is accelerating its use of data through advanced analytics and artificial intelligence (AI) with its purchase of Chicago-based data and analytics software company Networked Insights.

Regional Analysis

The market for global data science platform market is studied across North America, Europe, Asia Pacific and Rest of the World. The North American market is expected to hold the largest market share, owing to capital intensive industries present across the region. Enterprises are looking to embrace data science platform as the revered platform which will help them have a competitive edge in the marketplace. Asia Pacific region is anticipated to have the highest growth rate during the forecast period. Industrialization, digitalization and several smart city initiatives by governments intensify the adoption of data science platform.

Some of the key players in global data science platform ecosystem comprises solutions and service providers are Microsoft Corporation (U.S.), IBM Corporation (U.S.), Google, Inc. (U.S.), Wolfram (U.S.), DataRobot Inc. (U.S.), Sense Inc. (U.S.), RapidMiner Inc. (U.S.), Domino Data Lab (U.S.), Dataiku (France), Alteryx, Inc. (U.S.), and Continuum Analytics, Inc. (U.S.).

Intended Audience

Independent Software Vendors

Business Analytics Software Providers

IT Service Providers

Cloud Service Providers

System Integrators

Application Design and Software Developers

Frequently Asked Questions (FAQ) :

At what CAGR can the data science platform market surge?

At 29%, the data science platform market is expected to surge from 2017 to 2023.

What is the estimated valuation for the data science platform market?

By 2023, the data science platform market can generate substantial valuation, reveals MRFR.

Who are key players of the data science platform market?

IBM Corporation (U.S.), Wolfram (U.S.), Google, Inc. (U.S.), Sense Inc. (U.S.), and DataRobot Inc. (U.S.) are some reputed organisations in the data science platform market.

What are the data science platform market drivers?

Data science platform can improve analysis of available data of an enterprise that can improve productivity of an enterprise. This can impel the growth of data science platform market.

What is the regional analysis of the data science platform market?

In APAC, rapid industrialization can prompt the regional data science platform market growth.

TABLE OF CONTENTS

1 Executive Summary

2 Scope of the Report

2.1 Market Definition

2.2 Scope of the Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Markets Structure

3 Market Research Methodology

3.1 Research Process

3.2 Secondary Research

3.3 Primary Research

3.4 Forecast Model

4 Market Landscape

4.1 Porter’s Five Forces Analysis

4.1.1 Threat of New Entrants

4.1.2 Bargaining power of buyers

4.1.3 Threat of substitutes

4.1.4 Segment rivalry

4.2 Value Chain/Supply Chain of Global Data Science Platform Market

5 Industry Overview of Global Data Science Platform Market

5.1 Introduction

5.2 Growth Drivers

5.3 Impact analysis

5.4 Market Challenges

6 Market Trends

6.1 Introduction

6.2 Growth Trends

6.3 Impact analysis

7. Global Data Science Platform Market by Business Type

7.1 Introduction

7.2 Marketing

7.2.1 Market Estimates & Forecast, 2017-2023

7.2.2 Market Estimates & Forecast by Region, 2017-2023

7.3 Sales

7.3.1 Market Estimates & Forecast, 2017-2023

7.3.2 Market Estimates & Forecast by Region, 2017-2023

7.4 Logistics

7.4.1 Market Estimates & Forecast, 2017-2023

7.4.2 Market Estimates & Forecast by Region, 2017-2023

7.5 Human Resources

7.5.1 Market Estimates & Forecast, 2017-2023

7.5.2 Market Estimates & Forecast by Region, 2017-2023

7.6 Operations

7.6.1 Market Estimates & Forecast, 2017-2023

7.6.2 Market Estimates & Forecast by Region, 2017-2023

7.7 Risk Management

7.7.1 Market Estimates & Forecast, 2017-2023

7.7.2 Market Estimates & Forecast by Region, 2017-2023

7.8 Customer Support

7.8.1 Market Estimates & Forecast, 2017-2023

7.8.2 Market Estimates & Forecast by Region, 2017-2023

7.9 Others

7.9.1 Market Estimates & Forecast, 2017-2023

7.9.2 Market Estimates & Forecast by Region, 2017-2023
8. Global Data Science Platform Market by Deployment

8.1 Introduction

8.2 On-Demand

8.2.1 Market Estimates & Forecast, 2017-2023

8.2.2 Market Estimates & Forecast by Region, 2017-2023

8.3 On-Premise

8.3.1 Market Estimates & Forecast, 2017-2023

8.3.2 Market Estimates & Forecast by Region, 2017-2023
9. Global Data Science Platform Market by Vertical

9.1 Introduction

9.2 Healthcare

9.2.1 Market Estimates & Forecast, 2017-2023

9.2.2 Market Estimates & Forecast by Region, 2017-2023

9.3 BFSI

9.3.1 Market Estimates & Forecast, 2017-2023

9.3.2 Market Estimates & Forecast by Region, 2017-2023

9.4 Defense & government

9.4.1 Market Estimates & Forecast, 2017-2023

9.4.2 Market Estimates & Forecast by Region, 2017-2023

9.5 Retail

9.5.1 Market Estimates & Forecast, 2017-2023

9.5.2 Market Estimates & Forecast by Region, 2017-2023

9.6 Energy & Utilities

9.6.1 Market Estimates & Forecast, 2017-2023

9.6.2 Market Estimates & Forecast by Region, 2017-2023

9.7 Transportation

9.7.1 Market Estimates & Forecast, 2017-2023

9.7.2 Market Estimates & Forecast by Region, 2017-2023

9.8 Others

9.8.1 Market Estimates & Forecast, 2017-2023

9.8.2 Market Estimates & Forecast by Region, 2017-2023

10. Global Data Science Platform Market by Region

10.1 Introduction

10.2 North America

10.2.1 Market Estimates & Forecast, 2017-2023

10.2.2 Market Estimates & Forecast by Business Type, 2017-2023

10.2.3 Market Estimates & Forecast by Vertical, 2017-2023

10.2.4 Market Estimates & Forecast by Deployment, 2017-2023

10.2.5 U.S.

10.2.5.1 Market Estimates & Forecast, 2017-2023

10.2.5.2 Market Estimates & Forecast by Business Type, 2017-2023

10.2.5.3 Market Estimates & Forecast by Vertical, 2017-2023

10.2.5.4 Market Estimates & Forecast by Deployment, 2017-2023
10.2.6 Mexico

10.2.6.1 Market Estimates & Forecast, 2017-2023

10.2.6.2 Market Estimates & Forecast by Business Type, 2017-2023

10.2.6.3 Market Estimates & Forecast by Vertical, 2017-2023

10.2.6.4 Market Estimates & Forecast by Deployment, 2017-2023
10.2.7 Canada

10.2.7.1 Market Estimates & Forecast, 2017-2023

10.2.7.2 Market Estimates & Forecast by Business Type, 2017-2023

10.2.7.3 Market Estimates & Forecast by Vertical, 2017-2023

10.2.7.4 Market Estimates & Forecast by Deployment, 2017-2023
10.3 Europe

10.3.1 Market Estimates & Forecast, 2017-2023

10.3.2 Market Estimates & Forecast by Business Type, 2017-2023

10.3.3 Market Estimates & Forecast by Vertical, 2017-2023

10.3.4 Market Estimates & Forecast by Deployment, 2017-2023

10.3.5 Germany

10.3.5.1 Market Estimates & Forecast, 2017-2023

10.3.5.2 Market Estimates & Forecast by Business Type, 2017-2023

10.3.5.3 Market Estimates & Forecast by Vertical, 2017-2023

10.3.5.4 Market Estimates & Forecast by Deployment, 2017-2023
10.3.6. France

10.3.6.1 Market Estimates & Forecast, 2017-2023

10.3.6.2 Market Estimates & Forecast by Business Type, 2017-2023

10.3.6.3 Market Estimates & Forecast by Vertical, 2017-2023

10.3.6.4 Market Estimates & Forecast by Deployment, 2017-2023
10.3.7 Italy

10.3.7.1 Market Estimates & Forecast, 2017-2023

10.3.7.2 Market Estimates & Forecast by Business Type, 2017-2023

10.3.7.3 Market Estimates & Forecast by Vertical, 2017-2023

10.3.7.4 Market Estimates & Forecast by Deployment, 2017-2023
10.3.8 Spain

10.3.8.1 Market Estimates & Forecast, 2017-2023

10.3.8.2 Market Estimates & Forecast by Business Type, 2017-2023

10.3.8.3 Market Estimates & Forecast by Vertical 2017-2023

10.3.8.4 Market Estimates & Forecast by Deployment, 2017-2023
10.3.9 U.K

10.3.9.1 Market Estimates & Forecast, 2017-2023

10.3.9.2 Market Estimates & Forecast by Business Type, 2017-2023

10.3.9.3 Market Estimates & Forecast by Vertical, 2017-2023

10.3.9.4 Market Estimates & Forecast by Deployment, 2017-2023
10.4 Asia Pacific

10.4.1 Market Estimates & Forecast, 2017-2023

10.4.2 Market Estimates & Forecast by Business Type, 2017-2023

10.4.3 Market Estimates & Forecast by Vertical, 2017-2023

10.4.4 Market Estimates & Forecast by Deployment, 2017-2023

10.4.5 China

10.4.5.1 Market Estimates & Forecast, 2017-2023

10.4.5.2 Market Estimates & Forecast by Business Type, 2017-2023

10.4.5.3 Market Estimates & Forecast by Vertical, 2017-2023

10.4.5.4 Market Estimates & Forecast by Deployment, 2017-2023

10.4.6 India

10.4.6.1 Market Estimates & Forecast, 2017-2023

10.4.6.2 Market Estimates & Forecast by Business Type, 2017-2023

10.4.6.3 Market Estimates & Forecast by Vertical, 2017-2023

10.4.6.4 Market Estimates & Forecast by Deployment, 2017-2023

10.4.7 Japan

10.4.7.1 Market Estimates & Forecast, 2017-2023

10.4.7.2 Market Estimates & Forecast by Business Type, 2017-2023

10.4.7.3 Market Estimates & Forecast by Vertical, 2017-2023

10.4.7.4 Market Estimates & Forecast by Deployment, 2017-2023

10.4.8 Rest of Asia Pacific

10.4.8.1 Market Estimates & Forecast, 2017-2023

10.4.8.2 Market Estimates & Forecast by Business Type, 2017-2023

10.4.8.3 Market Estimates & Forecast by Vertical, 2017-2023

10.4.8.4 Market Estimates & Forecast by Deployment, 2017-2023

10.5 Rest of the world

10.5.1 Market Estimates & Forecast, 2017-2023

10.5.2 Market Estimates & Forecast by Business Type, 2017-2023

10.5.3 Market Estimates & Forecast by Vertical, 2017-2023

10.5.4 Market Estimates & Forecast by Deployment, 2017-2023
10.5.5 The Middle East & Africa

10.5.5.1 Market Estimates & Forecast, 2017-2023

10.5.5.2 Market Estimates & Forecast by Business Type, 2017-2023

10.5.5.3 Market Estimates & Forecast by Vertical, 2017-2023

10.5.5.4 Market Estimates & Forecast by Deployment, 2017-2023
10.5.6 Latin Countries

10.5.6.1 Market Estimates & Forecast, 2017-2023

10.5.6.2 Market Estimates & Forecast by Business Type, 2017-2023

10.5.6.3 Market Estimates & Forecast by Vertical, 2017-2023

10.5.6.4 Market Estimates & Forecast by Deployment, 2017-2023
11. Company Landscape

12. Company Profiles

12.1 Microsoft Corporation (U.S.)

12.1.1 Company Overview

12.1.2 Deployment/Business Segment Overview

12.1.3 Financial Updates

12.1.4 Key Developments

12.2 IBM Corporation (U.S.)

12.2.1 Company Overview

12.2.2 Deployment/Business Segment Overview

12.2.3 Financial Updates

12.2.4 Key Developments

12.3 Google, Inc. (U.S.)

12.3.1 Company Overview

12.3.2 Deployment/Business Segment Overview

12.3.3 Financial Updates

12.3.4 Key Developments

12.4 Wolfram (U.S.)

12.4.1 Company Overview

12.4.2 Deployment/Business Segment Overview

12.4.3 Financial Updates

12.4.4 Key Developments

12.5 DataRobot Inc. (U.S.)

12.5.1 Company Overview

12.5.2 Deployment/Business Segment Overview

12.5.3 Financial Updates

12.5.4 Key Developments

12.6 Sense Inc. (U.S.)

12.6.1 Company Overview

12.6.2 Deployment/Business Segment Overview

12.6.3 Financial Updates

12.6.4 Key Developments

12.7 RapidMiner Inc. (U.S.)

12.7.1 Company Overview

12.7.2 Deployment/Business Segment Overview

12.7.3 Financial Updates

12.7.4 Key Developments

12.8 Domino Data Lab (U.S.)

12.8.1 Company Overview

12.8.2 Deployment/Business Segment Overview

12.8.3 Financial Updates

12.8.4 Key Developments

12.9 Dataiku (France)

12.9.1 Company Overview

12.9.2 Deployment/Business Segment Overview

12.9.3 Financial Updates

12.9.4 Key Developments

12.10 Alteryx, Inc. (U.S.)

12.10.1 Company Overview

12.10.2 Deployment/Business Segment Overview

12.10.3 Financial Updates

12.10.4 Key Developments
13 Conclusion

LIST OF TABLES
Table 1 Global Data Science Platform Market: By Region, 2017-2023

Table 2 North America Data Science Platform Market: By Country, 2017-2023

Table 3 Europe Data Science Platform Market: By Country, 2017-2023

Table 4 Asia-Pacific Data Science Platform Market: By Country, 2017-2023

Table 5 Middle East & Africa Data Science Platform Market: By Country, 2017-2023

Table 6 Latin America Data Science Platform Market: By Country, 2017-2023

Table 7 Global Data Science Platform by Business Type Market: By Regions, 2017-2023

Table 8 North America Data Science Platform by Business Type Market: By Country, 2017-2023

Table 9 Europe Data Science Platform by Business Type Market: By Country, 2017-2023

Table10 Asia-Pacific Data Science Platform by Business Type Market: By Country, 2017-2023

Table11 Middle East & Africa Data Science Platform by Business Type Market: By Country, 2017-2023

Table12 Latin America Data Science Platform by Business Type Market: By Country, 2017-2023

Table13 Global Data Science Platform by Deployment Market: By Regions, 2017-2023

Table14 North America Data Science Platform by Deployment Market: By Country, 2017-2023

Table15 Europe Data Science Platform by Deployment Market: By Country, 2017-2023

Table16 Asia-Pacific Data Science Platform by Deployment Market: By Country, 2017-2023

Table17 Middle East & Africa Data Science Platform by Deployment Market: By Country, 2017-2023

Table18 Latin America Data Science Platform by Deployment Market: By Country, 2017-2023

Table19 North America Data Science Platform for Form Market: By Country, 2017-2023

Table20 Europe Data Science Platform for Form Market: By Country, 2017-2023

Table21 Asia-Pacific Data Science Platform for Form Market: By Country, 2017-2023

Table22 Middle East & Africa Data Science Platform for Form Market: By Country, 2017-2023

Table23 Latin America Data Science Platform for Form Market: By Country, 2017-2023

Table24 Global Business Type Market: By Region, 2017-2023

Table25 North America Data Science Platform Market, By Country

Table26 North America Data Science Platform Market, By Business Type

Table27 North America Data Science Platform Market, By Deployment

Table28 North America Data Science Platform Market, By Vertical

Table29 Europe: Data Science Platform Market, By Country

Table30 Europe: Data Science Platform Market, By Business Type

Table 31 Europe: Data Science Platform Market, By Deployment

Table32 Europe Data Science Platform Market, By Vertical

Table33 Asia-Pacific: Data Science Platform Market, By Country

Table34 Asia-Pacific: Data Science Platform Market, By Business Type

Table 35 Asia-Pacific: Data Science Platform Market, By Deployment

Table36 Asia-Pacific Data Science Platform Market, By Vertical

Table37 Middle East & Africa: Data Science Platform Market, By Country

Table38 Middle East & Africa Data Science Platform Market, By Business Type

Table39 Middle East & Africa: Data Science Platform Market, By Deployment

Table40 Middle East & Africa Data Science Platform Market, By Vertical

Table41 Latin America: Data Science Platform Market, By Country

Table42 Latin America Data Science Platform Market, By Business Type

Table43 Latin America: Data Science Platform Market, By Deployment

Table44 Latin America Data Science Platform Market, By Vertical
LIST OF FIGURES
FIGURE 1 Global Data Science Platform Market segmentation

FIGURE 2 Forecast Methodology

FIGURE 3 Five Forces Analysis of Global Data Science Platform Market

FIGURE 4 Value Chain of Global Data Science Platform Market

FIGURE 5 Share of Global Data Science Platform Market in 2017, by country (in %)

FIGURE 6 Global Data Science Platform Market, 2017-2023,

FIGURE 7 Sub segments of Business Type

FIGURE 8 Global Data Science Platform Market size by Business Type, 2017

FIGURE 9 Share of Global Data Science Platform Market by Business Type, 2017 TO 2023

FIGURE 10 Global Data Science Platform Market size by Deployment, 2017 TO 2023

FIGURE 11 Share of Global Data Science Platform Market by Deployment, 2017 TO 2023

FIGURE 12 Global Data Science Platform Market size by vertical, 2017 TO 2023

FIGURE 13 Share of Global Data Science Platform Market by Vertical, 2017 TO 2023