Global Data Science and Machine-Learning Platforms Professional Survey Report 2023, Forecast to 2028

The Data Science and Machine-Learning Platforms report equips organizations with a comprehensive understanding of market dynamics, facilitating the formulation of strategic plans based on opportunities and informed decisions. In addition to business descriptions, growth projections, and market performance of key vendors in various regions, the report examines potential industry trends. Insights from industry experts aid in future-oriented decision-making, ensuring competitiveness. This research is a valuable resource. The report emphasizes critical aspects such as market size, share, trends, and drivers within prominent industry segments and geographic locations. It empowers enterprises with insights into challenges, opportunities, pricing strategies, company metrics, supply chains, and technological advancements.

For the Data Science and Machine-Learning Platforms market, the use scenario and thinking of AI

2023 is set to be a revolutionary year for Artificial Intelligence. With the continued development of AI technology, more and more businesses are beginning to invest in the potential of AI to automate processes and increase efficiency.

The report researches and analyzes the influence of the Data Science and Machine-Learning Platforms industry in the new era of global post-COIVD-19 economy in 2023, and provides in-depth analysis and professional suggestions on the current development.

Data Science and Machine-Learning Platforms Market Competition list

    DataScience.com
    ZS
    LatentView Analytics
    Mango Solutions
    Microsoft
    International Business Machine
    Amazon Web Services
    Google
    Bigml
    Fico

(Find more companies in our free sample!)

Market Segment by Product Type

Consulting
Management Solution
......

Market Segment by Product Application

Banking
Insurance
Retail
Media & Entertainment
Others
......

Market segment by Region, regional analysis covers

Bottom-up and Top-down Approaches for This Report

Table of Contents

Global Data Science and Machine-Learning Platforms Market Report 2023, Forecast to 2028

1 Report Overview
1.1 Data Science and Machine-Learning Platforms Introduction
1.2 Report Structure Overview
1.3 Years Considered

2 Market Status
2.1 Global Data Science and Machine-Learning Platforms Market Outlook
2.2 Key Industry Perspective: What Industry Leaders are saying?
2.3 Macro-Economic Factors
2.3.1 Global GDP Growth
2.3.2 Manufacturing Value Added
2.3.3 Industrial Production
2.4 Forecast Factors – Relevance & Impact
2.5 Market Dynamics
2.5.1 Market Opportunities
2.5.2 Market Risk
2.5.3 Market Driving Force
2.5.4 Product Innovation / Development Trends

3 Coronavirus Disease 2020 (COVID-19): Data Science and Machine-Learning Platforms Industry Impact
3.1 Current Statistics and Probable Future Impact
3.2 Comparison of SAARs and Market Recovery
3.3 Data Science and Machine-Learning Platforms Business Impact Assessment – Covid-19
3.4 Market Trends and Data Science and Machine-Learning Platforms Potential Opportunities in the COVID-19 Landscape

4 Data Science and Machine-Learning Platforms Revenue by Region
4.1 Global Data Science and Machine-Learning Platforms Revenue (History Data) by Region
4.2 North America
4.2.1 North America Data Science and Machine-Learning Platforms Revenue by Type
4.2.2 North America Data Science and Machine-Learning Platforms Revenue by Application
4.2.3 North America Data Science and Machine-Learning Platforms Revenue by Countries
4.2.4 United States
4.2.5 Canada
4.2.6 Mexico
4.3 Europe
4.3.1 Europe Data Science and Machine-Learning Platforms Revenue by Type
4.3.2 Europe Data Science and Machine-Learning Platforms Revenue by Application
4.3.3 Europe Data Science and Machine-Learning Platforms Revenue by Countries
4.3.4 Germany
4.3.5 France
4.3.6 UK
4.3.7 Italy
4.3.8 Russia
4.3.9 Spain
4.4 Asia Pacific
4.4.1 Asia Pacific Data Science and Machine-Learning Platforms Revenue by Type
4.4.2 Asia Pacific Data Science and Machine-Learning Platforms Revenue by Application
4.4.3 Asia Pacific Data Science and Machine-Learning Platforms Revenue by Region
4.4.4 China
4.4.5 Japan
4.4.6 South Korea
4.4.7 India
4.4.8 Australia
4.4.9 Indonesia
4.4.10 Thailand
4.4.11 Malaysia
4.4.12 Philippines
4.4.13 Vietnam
4.5 Central & South America
4.5.1 Central & South America Data Science and Machine-Learning Platforms Revenue by Type
4.5.2 Central & South America Data Science and Machine-Learning Platforms Revenue by Application
4.5.3 Central & South America Data Science and Machine-Learning Platforms Revenue by Countries
4.5.4 Brazil
4.6 Middle East & Africa
4.6.1 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Type
4.6.2 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Application
4.6.3 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Countries
4.6.4 GCC Countries
4.6.5 Turkey
4.6.6 Egypt
4.6.7 South Africa
4.6.8 Israel

5 Global Data Science and Machine-Learning Platforms Market Segment by Type
5.1 Introduction / Key Findings
5.2 Global Data Science and Machine-Learning Platforms Revenue and Market Share by Type (2018-2023)
5.3 Consulting Revenue Growth Rate and Price
5.4 Management Solution Revenue Growth Rate and Price

6 Global Data Science and Machine-Learning Platforms Market Segment by Application
6.1 Introduction / Key Findings
6.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Application (2018-2023)
6.3 Banking Revenue Growth Rate (2018-2023)
6.4 Insurance Revenue Growth Rate (2018-2023)
6.5 Retail Revenue Growth Rate (2018-2023)
6.6 Media & Entertainment Revenue Growth Rate (2018-2023)
6.7 Others Revenue Growth Rate (2018-2023)

7 Analysis of Key Players
7.1 DataScience.com
7.1.1 Company Details
7.1.2 Description and Business Overview
7.1.3 Product Introduction
7.1.4 DataScience.com Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.1.5 Recent News
7.2 ZS
7.2.1 Company Details
7.2.2 Description and Business Overview
7.2.3 Product Introduction
7.2.4 ZS Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.2.5 Recent News
7.3 LatentView Analytics
7.3.1 Company Details
7.3.2 Description and Business Overview
7.3.3 Product Introduction
7.3.4 LatentView Analytics Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.3.5 Recent News
7.4 Mango Solutions
7.4.1 Company Details
7.4.2 Description and Business Overview
7.4.3 Product Introduction
7.4.4 Mango Solutions Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.4.5 Recent News
7.5 Microsoft
7.5.1 Company Details
7.5.2 Description and Business Overview
7.5.3 Product Introduction
7.5.4 Microsoft Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.5.5 Recent News
7.6 International Business Machine
7.6.1 Company Details
7.6.2 Description and Business Overview
7.6.3 Product Introduction
7.6.4 International Business Machine Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.6.5 Recent News
7.7 Amazon Web Services
7.7.1 Company Details
7.7.2 Description and Business Overview
7.7.3 Product Introduction
7.7.4 Amazon Web Services Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.7.5 Recent News
7.8 Google
7.8.1 Company Details
7.8.2 Description and Business Overview
7.8.3 Product Introduction
7.8.4 Google Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.8.5 Recent News
7.9 Bigml
7.9.1 Company Details
7.9.2 Description and Business Overview
7.9.3 Product Introduction
7.9.4 Bigml Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.9.5 Recent News
7.10 Fico
7.10.1 Company Details
7.10.2 Description and Business Overview
7.10.3 Product Introduction
7.10.4 Fico Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.10.5 Recent News
7.11 Hewlett-Packard Enterprise Development
7.11.1 Company Details
7.11.2 Description and Business Overview
7.11.3 Product Introduction
7.11.4 Hewlett-Packard Enterprise Development Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.11.5 Recent News
7.12 At&T
7.12.1 Company Details
7.12.2 Description and Business Overview
7.12.3 Product Introduction
7.12.4 At&T Data Science and Machine-Learning Platforms Gross Margin and Revenue (2018-2023)
7.12.5 Recent News

8 Data Science and Machine-Learning Platforms Market Forecast
8.1 Forecast Factors – Relevance & Impact
8.1.1 Factor 1
8.1.2 Factor 2
8.1.3 Factor 3
8.2 Global Data Science and Machine-Learning Platforms Revenue, Revenue and Growth Rate (2023-2028)
8.3 Data Science and Machine-Learning Platforms Market Forecast by Regions (2023-2028)
8.3.1 North America Data Science and Machine-Learning Platforms Market Forecast (2023-2028)
8.3.2 Europe Data Science and Machine-Learning Platforms Market Forecast (2023-2028)
8.3.3 Asia-Pacific Data Science and Machine-Learning Platforms Market Forecast (2023-2028)
8.3.4 South America Data Science and Machine-Learning Platforms Market Forecast (2023-2028)
8.3.5 Middle East & Africa Data Science and Machine-Learning Platforms Market Forecast (2023-2028)
8.4 Data Science and Machine-Learning Platforms Market Forecast by Type (2023-2028)
8.4.1 Global Data Science and Machine-Learning Platforms Revenue Forecast by Type (2023-2028)
8.4.2 Global Data Science and Machine-Learning Platforms Revenue Market Share Forecast by Type (2023-2028)
8.5 Data Science and Machine-Learning Platforms Market Forecast by Application (2023-2028)
8.5.1 Global Data Science and Machine-Learning Platforms Revenue Forecast by Application (2023-2028)
8.5.2 Global Data Science and Machine-Learning Platforms Market Share Forecast by Application (2023-2028)

9 Conclusion