Data Mining and Modeling - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511245983

Publication Date:

November 12, 2024

Pages:

132

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Data Mining and Modeling was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Data Mining and Modeling was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data Mining and Modeling was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Data Mining and Modeling was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Data Mining and Modeling include SAS, IBM, Symbrium, Coheris, Expert System, Apteco, Megaputer Intelligence, Mozenda and GMDH, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Mining and Modeling, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Mining and Modeling by region & country, by Type, and by Application.
The Data Mining and Modeling market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Mining and Modeling.
麻豆原创 Segmentation
By Company
SAS
IBM
Symbrium
Coheris
Expert System
Apteco
Megaputer Intelligence
Mozenda
GMDH
Optymyze
RapidMiner
Salford Systems
Lexalytics
Semantic Web Company
Saturam
Segment by Type:
Cloud-based
On-premises
Segment by Application
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Mining and Modeling manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Data Mining and Modeling in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data Mining and Modeling in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 Data Mining and Modeling Product Introduction
1.2 Global Data Mining and Modeling 麻豆原创 Size Forecast
1.3 Data Mining and Modeling 麻豆原创 Trends & Drivers
1.3.1 Data Mining and Modeling Industry Trends
1.3.2 Data Mining and Modeling 麻豆原创 Drivers & Opportunity
1.3.3 Data Mining and Modeling 麻豆原创 Challenges
1.3.4 Data Mining and Modeling 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data Mining and Modeling Players Revenue Ranking (2023)
2.2 Global Data Mining and Modeling Revenue by Company (2019-2024)
2.3 Key Companies Data Mining and Modeling Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data Mining and Modeling Product Offered
2.5 Key Companies Time to Begin Mass Production of Data Mining and Modeling
2.6 Data Mining and Modeling 麻豆原创 Competitive Analysis
2.6.1 Data Mining and Modeling 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data Mining and Modeling Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Mining and Modeling as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud-based
3.1.2 On-premises
3.2 Global Data Mining and Modeling Sales Value by Type
3.2.1 Global Data Mining and Modeling Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data Mining and Modeling Sales Value, by Type (2019-2030)
3.2.3 Global Data Mining and Modeling Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises
4.1.2 Small and Medium-sized Enterprises (SMEs)
4.2 Global Data Mining and Modeling Sales Value by Application
4.2.1 Global Data Mining and Modeling Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Data Mining and Modeling Sales Value, by Application (2019-2030)
4.2.3 Global Data Mining and Modeling Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Data Mining and Modeling Sales Value by Region
5.1.1 Global Data Mining and Modeling Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Data Mining and Modeling Sales Value by Region (2019-2024)
5.1.3 Global Data Mining and Modeling Sales Value by Region (2025-2030)
5.1.4 Global Data Mining and Modeling Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data Mining and Modeling Sales Value, 2019-2030
5.2.2 North America Data Mining and Modeling Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data Mining and Modeling Sales Value, 2019-2030
5.3.2 Europe Data Mining and Modeling Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data Mining and Modeling Sales Value, 2019-2030
5.4.2 Asia Pacific Data Mining and Modeling Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data Mining and Modeling Sales Value, 2019-2030
5.5.2 South America Data Mining and Modeling Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Mining and Modeling Sales Value, 2019-2030
5.6.2 Middle East & Africa Data Mining and Modeling Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Mining and Modeling Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data Mining and Modeling Sales Value
6.3 United States
6.3.1 United States Data Mining and Modeling Sales Value, 2019-2030
6.3.2 United States Data Mining and Modeling Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data Mining and Modeling Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data Mining and Modeling Sales Value, 2019-2030
6.4.2 Europe Data Mining and Modeling Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data Mining and Modeling Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data Mining and Modeling Sales Value, 2019-2030
6.5.2 China Data Mining and Modeling Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data Mining and Modeling Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data Mining and Modeling Sales Value, 2019-2030
6.6.2 Japan Data Mining and Modeling Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data Mining and Modeling Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data Mining and Modeling Sales Value, 2019-2030
6.7.2 South Korea Data Mining and Modeling Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data Mining and Modeling Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data Mining and Modeling Sales Value, 2019-2030
6.8.2 Southeast Asia Data Mining and Modeling Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data Mining and Modeling Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data Mining and Modeling Sales Value, 2019-2030
6.9.2 India Data Mining and Modeling Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data Mining and Modeling Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 SAS
7.1.1 SAS Profile
7.1.2 SAS Main Business
7.1.3 SAS Data Mining and Modeling Products, Services and Solutions
7.1.4 SAS Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.1.5 SAS Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Data Mining and Modeling Products, Services and Solutions
7.2.4 IBM Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 Symbrium
7.3.1 Symbrium Profile
7.3.2 Symbrium Main Business
7.3.3 Symbrium Data Mining and Modeling Products, Services and Solutions
7.3.4 Symbrium Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.3.5 Coheris Recent Developments
7.4 Coheris
7.4.1 Coheris Profile
7.4.2 Coheris Main Business
7.4.3 Coheris Data Mining and Modeling Products, Services and Solutions
7.4.4 Coheris Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.4.5 Coheris Recent Developments
7.5 Expert System
7.5.1 Expert System Profile
7.5.2 Expert System Main Business
7.5.3 Expert System Data Mining and Modeling Products, Services and Solutions
7.5.4 Expert System Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.5.5 Expert System Recent Developments
7.6 Apteco
7.6.1 Apteco Profile
7.6.2 Apteco Main Business
7.6.3 Apteco Data Mining and Modeling Products, Services and Solutions
7.6.4 Apteco Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.6.5 Apteco Recent Developments
7.7 Megaputer Intelligence
7.7.1 Megaputer Intelligence Profile
7.7.2 Megaputer Intelligence Main Business
7.7.3 Megaputer Intelligence Data Mining and Modeling Products, Services and Solutions
7.7.4 Megaputer Intelligence Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.7.5 Megaputer Intelligence Recent Developments
7.8 Mozenda
7.8.1 Mozenda Profile
7.8.2 Mozenda Main Business
7.8.3 Mozenda Data Mining and Modeling Products, Services and Solutions
7.8.4 Mozenda Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.8.5 Mozenda Recent Developments
7.9 GMDH
7.9.1 GMDH Profile
7.9.2 GMDH Main Business
7.9.3 GMDH Data Mining and Modeling Products, Services and Solutions
7.9.4 GMDH Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.9.5 GMDH Recent Developments
7.10 Optymyze
7.10.1 Optymyze Profile
7.10.2 Optymyze Main Business
7.10.3 Optymyze Data Mining and Modeling Products, Services and Solutions
7.10.4 Optymyze Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.10.5 Optymyze Recent Developments
7.11 RapidMiner
7.11.1 RapidMiner Profile
7.11.2 RapidMiner Main Business
7.11.3 RapidMiner Data Mining and Modeling Products, Services and Solutions
7.11.4 RapidMiner Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.11.5 RapidMiner Recent Developments
7.12 Salford Systems
7.12.1 Salford Systems Profile
7.12.2 Salford Systems Main Business
7.12.3 Salford Systems Data Mining and Modeling Products, Services and Solutions
7.12.4 Salford Systems Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.12.5 Salford Systems Recent Developments
7.13 Lexalytics
7.13.1 Lexalytics Profile
7.13.2 Lexalytics Main Business
7.13.3 Lexalytics Data Mining and Modeling Products, Services and Solutions
7.13.4 Lexalytics Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.13.5 Lexalytics Recent Developments
7.14 Semantic Web Company
7.14.1 Semantic Web Company Profile
7.14.2 Semantic Web Company Main Business
7.14.3 Semantic Web Company Data Mining and Modeling Products, Services and Solutions
7.14.4 Semantic Web Company Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.14.5 Semantic Web Company Recent Developments
7.15 Saturam
7.15.1 Saturam Profile
7.15.2 Saturam Main Business
7.15.3 Saturam Data Mining and Modeling Products, Services and Solutions
7.15.4 Saturam Data Mining and Modeling Revenue (US$ Million) & (2019-2024)
7.15.5 Saturam Recent Developments
8 Industry Chain Analysis
8.1 Data Mining and Modeling Industrial Chain
8.2 Data Mining and Modeling Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Data Mining and Modeling Sales Model
8.5.2 Sales Channel
8.5.3 Data Mining and Modeling Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

SAS
IBM
Symbrium
Coheris
Expert System
Apteco
Megaputer Intelligence
Mozenda
GMDH
Optymyze
RapidMiner
Salford Systems
Lexalytics
Semantic Web Company
Saturam

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