Global Intelligent Decision Platform 麻豆原创 Insights, Forecast to 2030

Publication ID:

PB511242691

Publication Date:

November 1, 2024

Pages:

129

Publisher:

MRRPB5

Countries:

Global [1]

USD 4,900.00

IT Services [2]

Computing & Electronics [3]

Description:

An intelligent decision platform refers to an integrated software solution designed to support organizations in improving their data analytics and reporting capabilities via automated machine learning algorithms capable of identifying patterns and relationships within large datasets. This advanced technology can process structured (relational) or semi-structured/unstructured (NoSQL) data formats ingested from disparate sources to discover actionable intelligence derived from big data assets facilitating smarter fact-based decisions made possible through artificial intelligence powered by cutting-edge computational.
麻豆原创 Analysis and Insights: Global Intelligent Decision Platform 麻豆原创
The global Intelligent Decision Platform market is projected to grow from US$ 10760 million in 2024 to US$ 21010 million by 2030, at a Compound Annual Growth Rate (CAGR) of 11.8% during the forecast period.
The US & Canada market for Intelligent Decision Platform is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Intelligent Decision Platform is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Intelligent Decision Platform is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of Intelligent Decision Platform include IWConnect, SAS Institute, FlexRule, Cognizant, Infopulse, Tellius, Quantexa, Peak AI and Synergies Intelligent System, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
Intelligent Decision Platform is widely used in various fields, such as Financial Industry, E-commerce and Retail, Manufacturing and Public Utility, etc. Financial Industry provides greatest supports to the Intelligent Decision Platform industry development. In 2023, global % revenue of Intelligent Decision Platform went into Financial Industry filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for Intelligent Decision Platform market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Intelligent Decision Platform, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Intelligent Decision Platform, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Intelligent Decision Platform revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Intelligent Decision Platform market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Intelligent Decision Platform revenue, projected growth trends, production technology, application and end-user industry.
麻豆原创 Segmentation
By Company
IWConnect
SAS Institute
FlexRule
Cognizant
Infopulse
Tellius
Quantexa
Peak AI
Synergies Intelligent System
Grupo ASSA
Seidor USA
Astral Consulting Group
Exponential AI
RXA IO
Noura AI
Pega
Experian CEE
Intellias
FICO
MachEye
ServiceNow
Experian
Segment by Type
Communication Driven Intelligent Decision Platform
Data Driven Intelligent Decision Platform
Knowledge Driven Intelligent Decision Platform
Model Driven Intelligent Decision Platform
Document Driven Intelligent Decision Platform
Segment by Application
Financial Industry
E-commerce and Retail
Manufacturing
Public Utility
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Intelligent Decision Platform in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Intelligent Decision Platform companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Intelligent Decision Platform revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Intelligent Decision Platform 麻豆原创 Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Communication Driven Intelligent Decision Platform
1.2.3 Data Driven Intelligent Decision Platform
1.2.4 Knowledge Driven Intelligent Decision Platform
1.2.5 Model Driven Intelligent Decision Platform
1.2.6 Document Driven Intelligent Decision Platform
1.3 麻豆原创 by Application
1.3.1 Global Intelligent Decision Platform 麻豆原创 Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Financial Industry
1.3.3 E-commerce and Retail
1.3.4 Manufacturing
1.3.5 Public Utility
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Intelligent Decision Platform 麻豆原创 Perspective (2019-2030)
2.2 Global Intelligent Decision Platform Growth Trends by Region
2.2.1 Intelligent Decision Platform 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Intelligent Decision Platform Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Intelligent Decision Platform Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Intelligent Decision Platform 麻豆原创 Dynamics
2.3.1 Intelligent Decision Platform Industry Trends
2.3.2 Intelligent Decision Platform 麻豆原创 Drivers
2.3.3 Intelligent Decision Platform 麻豆原创 Challenges
2.3.4 Intelligent Decision Platform 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Intelligent Decision Platform by Players
3.1.1 Global Intelligent Decision Platform Revenue by Players (2019-2024)
3.1.2 Global Intelligent Decision Platform Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Intelligent Decision Platform 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Intelligent Decision Platform, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Intelligent Decision Platform 麻豆原创 Concentration Ratio
3.4.1 Global Intelligent Decision Platform 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Intelligent Decision Platform Revenue in 2023
3.5 Global Key Players of Intelligent Decision Platform Head office and Area Served
3.6 Global Key Players of Intelligent Decision Platform, Product and Application
3.7 Global Key Players of Intelligent Decision Platform, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Intelligent Decision Platform Breakdown Data by Type
4.1 Global Intelligent Decision Platform Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Intelligent Decision Platform Forecasted 麻豆原创 Size by Type (2025-2030)
5 Intelligent Decision Platform Breakdown Data by Application
5.1 Global Intelligent Decision Platform Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Intelligent Decision Platform Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Intelligent Decision Platform 麻豆原创 Size (2019-2030)
6.2 North America Intelligent Decision Platform 麻豆原创 Size by Type
6.2.1 North America Intelligent Decision Platform 麻豆原创 Size by Type (2019-2024)
6.2.2 North America Intelligent Decision Platform 麻豆原创 Size by Type (2025-2030)
6.2.3 North America Intelligent Decision Platform 麻豆原创 Share by Type (2019-2030)
6.3 North America Intelligent Decision Platform 麻豆原创 Size by Application
6.3.1 North America Intelligent Decision Platform 麻豆原创 Size by Application (2019-2024)
6.3.2 North America Intelligent Decision Platform 麻豆原创 Size by Application (2025-2030)
6.3.3 North America Intelligent Decision Platform 麻豆原创 Share by Application (2019-2030)
6.4 North America Intelligent Decision Platform 麻豆原创 Size by Country
6.4.1 North America Intelligent Decision Platform 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Intelligent Decision Platform 麻豆原创 Size by Country (2019-2024)
6.4.3 North America Intelligent Decision Platform 麻豆原创 Size by Country (2025-2030)
6.4.4 United States
6.4.5 Canada
7 Europe
7.1 Europe Intelligent Decision Platform 麻豆原创 Size (2019-2030)
7.2 Europe Intelligent Decision Platform 麻豆原创 Size by Type
7.2.1 Europe Intelligent Decision Platform 麻豆原创 Size by Type (2019-2024)
7.2.2 Europe Intelligent Decision Platform 麻豆原创 Size by Type (2025-2030)
7.2.3 Europe Intelligent Decision Platform 麻豆原创 Share by Type (2019-2030)
7.3 Europe Intelligent Decision Platform 麻豆原创 Size by Application
7.3.1 Europe Intelligent Decision Platform 麻豆原创 Size by Application (2019-2024)
7.3.2 Europe Intelligent Decision Platform 麻豆原创 Size by Application (2025-2030)
7.3.3 Europe Intelligent Decision Platform 麻豆原创 Share by Application (2019-2030)
7.4 Europe Intelligent Decision Platform 麻豆原创 Size by Country
7.4.1 Europe Intelligent Decision Platform 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Intelligent Decision Platform 麻豆原创 Size by Country (2019-2024)
7.4.3 Europe Intelligent Decision Platform 麻豆原创 Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Intelligent Decision Platform 麻豆原创 Size (2019-2030)
8.2 China Intelligent Decision Platform 麻豆原创 Size by Type
8.2.1 China Intelligent Decision Platform 麻豆原创 Size by Type (2019-2024)
8.2.2 China Intelligent Decision Platform 麻豆原创 Size by Type (2025-2030)
8.2.3 China Intelligent Decision Platform 麻豆原创 Share by Type (2019-2030)
8.3 China Intelligent Decision Platform 麻豆原创 Size by Application
8.3.1 China Intelligent Decision Platform 麻豆原创 Size by Application (2019-2024)
8.3.2 China Intelligent Decision Platform 麻豆原创 Size by Application (2025-2030)
8.3.3 China Intelligent Decision Platform 麻豆原创 Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Intelligent Decision Platform 麻豆原创 Size (2019-2030)
9.2 Asia Intelligent Decision Platform 麻豆原创 Size by Type
9.2.1 Asia Intelligent Decision Platform 麻豆原创 Size by Type (2019-2024)
9.2.2 Asia Intelligent Decision Platform 麻豆原创 Size by Type (2025-2030)
9.2.3 Asia Intelligent Decision Platform 麻豆原创 Share by Type (2019-2030)
9.3 Asia Intelligent Decision Platform 麻豆原创 Size by Application
9.3.1 Asia Intelligent Decision Platform 麻豆原创 Size by Application (2019-2024)
9.3.2 Asia Intelligent Decision Platform 麻豆原创 Size by Application (2025-2030)
9.3.3 Asia Intelligent Decision Platform 麻豆原创 Share by Application (2019-2030)
9.4 Asia Intelligent Decision Platform 麻豆原创 Size by Region
9.4.1 Asia Intelligent Decision Platform 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Intelligent Decision Platform 麻豆原创 Size by Region (2019-2024)
9.4.3 Asia Intelligent Decision Platform 麻豆原创 Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size (2019-2030)
10.2 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Intelligent Decision Platform 麻豆原创 Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 IWConnect
11.1.1 IWConnect Company Details
11.1.2 IWConnect Business Overview
11.1.3 IWConnect Intelligent Decision Platform Introduction
11.1.4 IWConnect Revenue in Intelligent Decision Platform Business (2019-2024)
11.1.5 IWConnect Recent Developments
11.2 SAS Institute
11.2.1 SAS Institute Company Details
11.2.2 SAS Institute Business Overview
11.2.3 SAS Institute Intelligent Decision Platform Introduction
11.2.4 SAS Institute Revenue in Intelligent Decision Platform Business (2019-2024)
11.2.5 SAS Institute Recent Developments
11.3 FlexRule
11.3.1 FlexRule Company Details
11.3.2 FlexRule Business Overview
11.3.3 FlexRule Intelligent Decision Platform Introduction
11.3.4 FlexRule Revenue in Intelligent Decision Platform Business (2019-2024)
11.3.5 FlexRule Recent Developments
11.4 Cognizant
11.4.1 Cognizant Company Details
11.4.2 Cognizant Business Overview
11.4.3 Cognizant Intelligent Decision Platform Introduction
11.4.4 Cognizant Revenue in Intelligent Decision Platform Business (2019-2024)
11.4.5 Cognizant Recent Developments
11.5 Infopulse
11.5.1 Infopulse Company Details
11.5.2 Infopulse Business Overview
11.5.3 Infopulse Intelligent Decision Platform Introduction
11.5.4 Infopulse Revenue in Intelligent Decision Platform Business (2019-2024)
11.5.5 Infopulse Recent Developments
11.6 Tellius
11.6.1 Tellius Company Details
11.6.2 Tellius Business Overview
11.6.3 Tellius Intelligent Decision Platform Introduction
11.6.4 Tellius Revenue in Intelligent Decision Platform Business (2019-2024)
11.6.5 Tellius Recent Developments
11.7 Quantexa
11.7.1 Quantexa Company Details
11.7.2 Quantexa Business Overview
11.7.3 Quantexa Intelligent Decision Platform Introduction
11.7.4 Quantexa Revenue in Intelligent Decision Platform Business (2019-2024)
11.7.5 Quantexa Recent Developments
11.8 Peak AI
11.8.1 Peak AI Company Details
11.8.2 Peak AI Business Overview
11.8.3 Peak AI Intelligent Decision Platform Introduction
11.8.4 Peak AI Revenue in Intelligent Decision Platform Business (2019-2024)
11.8.5 Peak AI Recent Developments
11.9 Synergies Intelligent System
11.9.1 Synergies Intelligent System Company Details
11.9.2 Synergies Intelligent System Business Overview
11.9.3 Synergies Intelligent System Intelligent Decision Platform Introduction
11.9.4 Synergies Intelligent System Revenue in Intelligent Decision Platform Business (2019-2024)
11.9.5 Synergies Intelligent System Recent Developments
11.10 Grupo ASSA
11.10.1 Grupo ASSA Company Details
11.10.2 Grupo ASSA Business Overview
11.10.3 Grupo ASSA Intelligent Decision Platform Introduction
11.10.4 Grupo ASSA Revenue in Intelligent Decision Platform Business (2019-2024)
11.10.5 Grupo ASSA Recent Developments
11.11 Seidor USA
11.11.1 Seidor USA Company Details
11.11.2 Seidor USA Business Overview
11.11.3 Seidor USA Intelligent Decision Platform Introduction
11.11.4 Seidor USA Revenue in Intelligent Decision Platform Business (2019-2024)
11.11.5 Seidor USA Recent Developments
11.12 Astral Consulting Group
11.12.1 Astral Consulting Group Company Details
11.12.2 Astral Consulting Group Business Overview
11.12.3 Astral Consulting Group Intelligent Decision Platform Introduction
11.12.4 Astral Consulting Group Revenue in Intelligent Decision Platform Business (2019-2024)
11.12.5 Astral Consulting Group Recent Developments
11.13 Exponential AI
11.13.1 Exponential AI Company Details
11.13.2 Exponential AI Business Overview
11.13.3 Exponential AI Intelligent Decision Platform Introduction
11.13.4 Exponential AI Revenue in Intelligent Decision Platform Business (2019-2024)
11.13.5 Exponential AI Recent Developments
11.14 RXA IO
11.14.1 RXA IO Company Details
11.14.2 RXA IO Business Overview
11.14.3 RXA IO Intelligent Decision Platform Introduction
11.14.4 RXA IO Revenue in Intelligent Decision Platform Business (2019-2024)
11.14.5 RXA IO Recent Developments
11.15 Noura AI
11.15.1 Noura AI Company Details
11.15.2 Noura AI Business Overview
11.15.3 Noura AI Intelligent Decision Platform Introduction
11.15.4 Noura AI Revenue in Intelligent Decision Platform Business (2019-2024)
11.15.5 Noura AI Recent Developments
11.16 Pega
11.16.1 Pega Company Details
11.16.2 Pega Business Overview
11.16.3 Pega Intelligent Decision Platform Introduction
11.16.4 Pega Revenue in Intelligent Decision Platform Business (2019-2024)
11.16.5 Pega Recent Developments
11.17 Experian CEE
11.17.1 Experian CEE Company Details
11.17.2 Experian CEE Business Overview
11.17.3 Experian CEE Intelligent Decision Platform Introduction
11.17.4 Experian CEE Revenue in Intelligent Decision Platform Business (2019-2024)
11.17.5 Experian CEE Recent Developments
11.18 Intellias
11.18.1 Intellias Company Details
11.18.2 Intellias Business Overview
11.18.3 Intellias Intelligent Decision Platform Introduction
11.18.4 Intellias Revenue in Intelligent Decision Platform Business (2019-2024)
11.18.5 Intellias Recent Developments
11.19 FICO
11.19.1 FICO Company Details
11.19.2 FICO Business Overview
11.19.3 FICO Intelligent Decision Platform Introduction
11.19.4 FICO Revenue in Intelligent Decision Platform Business (2019-2024)
11.19.5 FICO Recent Developments
11.20 MachEye
11.20.1 MachEye Company Details
11.20.2 MachEye Business Overview
11.20.3 MachEye Intelligent Decision Platform Introduction
11.20.4 MachEye Revenue in Intelligent Decision Platform Business (2019-2024)
11.20.5 MachEye Recent Developments
11.21 ServiceNow
11.21.1 ServiceNow Company Details
11.21.2 ServiceNow Business Overview
11.21.3 ServiceNow Intelligent Decision Platform Introduction
11.21.4 ServiceNow Revenue in Intelligent Decision Platform Business (2019-2024)
11.21.5 ServiceNow Recent Developments
11.22 Experian
11.22.1 Experian Company Details
11.22.2 Experian Business Overview
11.22.3 Experian Intelligent Decision Platform Introduction
11.22.4 Experian Revenue in Intelligent Decision Platform Business (2019-2024)
11.22.5 Experian Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

IWConnect
SAS Institute
FlexRule
Cognizant
Infopulse
Tellius
Quantexa
Peak AI
Synergies Intelligent System
Grupo ASSA
Seidor USA
Astral Consulting Group
Exponential AI
RXA IO
Noura AI
Pega
Experian CEE
Intellias
FICO
MachEye
ServiceNow
Experian

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