データサイエンスプラットフォーム市場 2022 | サイズ | 2030年までの予測

Table of Content

1.Introduction

1.1.Market Introduction
1.2.Market Research Methodology
1.2.1.Research Process
1.2.2.Primary Research
1.2.3.Secondary Research
1.2.4.Data Collection Technique
1.2.5.Data Sources
1.3.Market Estimation Methodology
1.3.1.Limitations of the Study
1.4.Product Picture of Data Science Platform
1.5.Years Considered for the Study
1.6.Research Methodology in brief
1.7.Parent Market Overview
1.8.Overall Global Data Science Platform Market Regional Demand
1.9.Data Source
1.9.1. Secondary Sources
1.9.2. Primary Sources

2. Executive Summary

2.1.Business Trends
2.2.Regional Trends
2.3.Component Trends
2.4.Organization size Trends
2.5.Deployment mode Trends
2.6.End-User Trends

3.Market Dynamics

3.1.Drivers
3.1.1.Rapid growth of big data and utilities offered by data science software program is augmenting the growth of data science platform market.
3.2.Restraints
3.2.1.High investment cost, data privacy & security, and uncertainty over business problems creates growth hindrance for data science platform market.
3.3.Opportunity
3.4.Impact forces during the forecast years
3.5.Industry Value Chain
3.5.1.Upstream analysis
3.5.2.Downstream analysis
3.5.3.BFSI and Distribution Channel
3.5.3.1.Direct Channel
3.5.3.2.Indirect Channel
3.6.Potential Customers
3.7.Manufacturing Cost Analysis
3.8.Key Technology Landscape
3.9.Porter\'s Analysis
3.9.1.Supplier Power
3.9.2.Buyer Power
3.9.3.Substitution Threat
3.9.4.Threat from New Entry
3.9.5.Competitive Rivalry
3.10. PESTEL Analysis
3.10.1.Political Factors
3.10.2.Economic Factor
3.10.3.Social Factors
3.10.4.Technological Factor
3.10.5.Environmental Factors
3.10.6.Legal Factor

4. Global Data Science Platform Market Segmentation, by Revenue (USD Billion), (2023-2030)

4.1.By Component
4.1.1.Platform
4.1.2.Services
4.2.By Organization size
4.2.1.Large enterprises
4.2.2.Small and medium sized enterprises
4.3.By Deployment mode
4.3.1.Cloud
4.3.2.On-premises
4.4.By End-User
4.4.1.BFSI
4.4.2.IT and Telecommunication
4.4.3.Retail and eCommerce
4.4.4.Transportation
4.4.5.Healthcare
4.4.6.Others

5.Global Data Science Platform Market Overview, By Region

5.1. North America Data Science Platform Market Revenue (USD Billion), by Countries, (2023-2030)
5.1.1.1.North America Data Science Platform Market Revenue (USD Billion), By Component
5.1.1.2.North America Data Science Platform Market Revenue (USD Billion), By Organization size
5.1.1.3.North America Data Science Platform Market Revenue (USD Billion), By Deployment mode
5.1.1.4.North America Data Science Platform Market Revenue (USD Billion), By End-User
5.1.2.US
5.1.2.1.U.S. Data Science Platform Market Revenue (USD Billion), By Component
5.1.2.2.U.S. Data Science Platform Market Revenue (USD Billion), By Organization size
5.1.2.3.U.S. Data Science Platform Market Revenue (USD Billion), By Deployment mode
5.1.2.4.U.S. Data Science Platform Market Revenue (USD Billion), By End-User
5.1.3.Canada
5.1.4.Mexico
5.2.Europe Data Science Platform Market Revenue (USD Billion), by Countries, (2023-2030)
5.2.1.1.Europe Data Science Platform Market Revenue (USD Billion), By Component
5.2.1.2.Europe Data Science Platform Market Revenue (USD Billion), By Organization size
5.2.1.3.Europe Data Science Platform Market Revenue (USD Billion), By Deployment mode
5.2.1.4.Europe Data Science Platform Market Revenue (USD Billion), By End-User
5.2.2.Germany
5.2.3.France
5.2.4.UK
5.2.5.Spain
5.2.6.Russia
5.2.7.Italy
5.2.8.BENELUX
5.3.Asia Pacific Data Science Platform Market Revenue (USD Billion), by Countries, (2023-2030)
5.3.1.1.Asia Pacific Data Science Platform Market Revenue (USD Billion), By Component
5.3.1.2.Asia Pacific Data Science Platform Market Revenue (USD Billion), By Organization size
5.3.1.3.Asia Pacific Data Science Platform Market Revenue (USD Billion), By Deployment mode
5.3.1.4.Asia Pacific Data Science Platform Market Revenue (USD Billion), By End-User
5.3.2.China
5.3.3.Japan
5.3.4.Australia
5.3.5.South Korea
5.3.6.India
5.3.7.ASEAN
5.4.Latin America Data Science Platform Market Revenue (USD Billion), by Countries, (2023-2030)
5.4.1.1.Latin America Data Science Platform Market Revenue (USD Billion), By Component
5.4.1.2.Latin America Data Science Platform Market Revenue (USD Billion), By Organization size
5.4.1.3.Latin America Data Science Platform Market Revenue (USD Billion), By Deployment mode
5.4.1.4.Latin America Data Science Platform Market Revenue (USD Billion), By End-User
5.4.2.Brazil
5.4.3.Argentina
5.4.4.Chile
5.5.Middle East and Africa Global Data Science Platform Market Revenue (USD Billion), by Countries, (2023-2030)
5.5.1.1.Middle East and Africa Data Science Platform Market Revenue (USD Billion), By Component
5.5.1.2.Middle East and Africa Data Science Platform Market Revenue (USD Billion), By Organization size
5.5.1.3.Middle East and Africa Data Science Platform Market Revenue (USD Billion), By Deployment mode
5.5.1.4.Middle East and Africa Data Science Platform Market Revenue (USD Billion), By End-User
5.5.2.GCC
5.5.3.Turkey
5.5.4.South Africa

6.Global Data Science Platform Market Revenue: Competitive Analysis, 2022

6.1.Key strategies by players
6.2.Revenue (USD Billion and %), By manufacturers, 2022
6.3.Player Positioning by Market Players, 2022

7.Competitive Analysis

7.1. Google LLC
7.1.1.Business Overview
7.1.2.Business Financials (USD Billion)
7.1.3.Product Category, Type, and Specification
7.1.4.Main Business/Business Overview
7.1.5.Geographical Analysis
7.1.6.Recent Development
7.1.7.Swot Analysis
7.2.Microsoft
7.3.IBM
7.4.H2O.ai
7.5.Alteryx
7.6.SAS Institute Inc.
7.7.The MathWorks Inc.
7.8.DataRobot Inc.
7.9.apheris AI GmbH
7.10.Databand
7.11.dotData
7.12.Explorium Inc.
7.13.Noogata
7.14.Tecton Inc.
7.15.Amazon Web Services Inc.
7.16.Cloudera Inc.
7.17.Domino Data Lab

8.Market Research Findings & Conclusion
Disclaimer

Disclaimer