
Decision intelligence services refer to services that use advanced technologies such as data analysis, artificial intelligence and machine learning to provide intelligent decision support and solutions for enterprises and organizations. By collecting, organizing and analyzing massive amounts of data, combined with algorithm models and predictive analysis, decision intelligence services can help customers extract valuable insights from complex data, provide reliable data support and intelligent decision-making suggestions for their decision-making, so as to improve business efficiency, reduce risks and achieve strategic goals.
The global Decision-Making Intelligent Service market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
The rise of intelligent decision-making services marks the shift of corporate decision-making from relying on intuition and experience to intelligent decision-making based on data and scientific analysis. This service can not only help companies quickly understand and utilize massive data, but also realize intelligent decision support through advanced algorithms and models, thereby improving the accuracy and efficiency of decision-making. Through intelligent decision-making services, companies can evaluate various decision-making options more objectively and comprehensively, and respond in a timely manner, thereby gaining advantages in a highly competitive market environment and achieving continuous innovation and development.
This report aims to provide a comprehensive presentation of the global market for Decision-Making Intelligent Service, 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 Decision-Making Intelligent Service.
The Decision-Making Intelligent Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Decision-Making Intelligent Service market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Decision-Making Intelligent Service companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
SAS
Oracle
Google
Microsoft
Palantir
ThoughtSpot
Tableau
Segment by Type
Cloud-Based
On-Premises
Segment by Application
Individual
Enterprise
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, 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 Decision-Making Intelligent Service company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Decision-Making Intelligent Service Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-Based
1.2.3 On-Premises
1.3 Market by Application
1.3.1 Global Decision-Making Intelligent Service Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Individual
1.3.3 Enterprise
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Decision-Making Intelligent Service Market Perspective (2019-2030)
2.2 Global Decision-Making Intelligent Service Growth Trends by Region
2.2.1 Global Decision-Making Intelligent Service Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Decision-Making Intelligent Service Historic Market Size by Region (2019-2024)
2.2.3 Decision-Making Intelligent Service Forecasted Market Size by Region (2025-2030)
2.3 Decision-Making Intelligent Service Market Dynamics
2.3.1 Decision-Making Intelligent Service Industry Trends
2.3.2 Decision-Making Intelligent Service Market Drivers
2.3.3 Decision-Making Intelligent Service Market Challenges
2.3.4 Decision-Making Intelligent Service Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Decision-Making Intelligent Service Players by Revenue
3.1.1 Global Top Decision-Making Intelligent Service Players by Revenue (2019-2024)
3.1.2 Global Decision-Making Intelligent Service Revenue Market Share by Players (2019-2024)
3.2 Global Decision-Making Intelligent Service Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Decision-Making Intelligent Service Revenue
3.4 Global Decision-Making Intelligent Service Market Concentration Ratio
3.4.1 Global Decision-Making Intelligent Service Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Decision-Making Intelligent Service Revenue in 2023
3.5 Global Key Players of Decision-Making Intelligent Service Head office and Area Served
3.6 Global Key Players of Decision-Making Intelligent Service, Product and Application
3.7 Global Key Players of Decision-Making Intelligent Service, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Decision-Making Intelligent Service Breakdown Data by Type
4.1 Global Decision-Making Intelligent Service Historic Market Size by Type (2019-2024)
4.2 Global Decision-Making Intelligent Service Forecasted Market Size by Type (2025-2030)
5 Decision-Making Intelligent Service Breakdown Data by Application
5.1 Global Decision-Making Intelligent Service Historic Market Size by Application (2019-2024)
5.2 Global Decision-Making Intelligent Service Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Decision-Making Intelligent Service Market Size (2019-2030)
6.2 North America Decision-Making Intelligent Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Decision-Making Intelligent Service Market Size by Country (2019-2024)
6.4 North America Decision-Making Intelligent Service Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Decision-Making Intelligent Service Market Size (2019-2030)
7.2 Europe Decision-Making Intelligent Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Decision-Making Intelligent Service Market Size by Country (2019-2024)
7.4 Europe Decision-Making Intelligent Service Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Decision-Making Intelligent Service Market Size (2019-2030)
8.2 Asia-Pacific Decision-Making Intelligent Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Decision-Making Intelligent Service Market Size by Region (2019-2024)
8.4 Asia-Pacific Decision-Making Intelligent Service Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Decision-Making Intelligent Service Market Size (2019-2030)
9.2 Latin America Decision-Making Intelligent Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Decision-Making Intelligent Service Market Size by Country (2019-2024)
9.4 Latin America Decision-Making Intelligent Service Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Decision-Making Intelligent Service Market Size (2019-2030)
10.2 Middle East & Africa Decision-Making Intelligent Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Decision-Making Intelligent Service Market Size by Country (2019-2024)
10.4 Middle East & Africa Decision-Making Intelligent Service Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Decision-Making Intelligent Service Introduction
11.1.4 IBM Revenue in Decision-Making Intelligent Service Business (2019-2024)
11.1.5 IBM Recent Development
11.2 SAS
11.2.1 SAS Company Details
11.2.2 SAS Business Overview
11.2.3 SAS Decision-Making Intelligent Service Introduction
11.2.4 SAS Revenue in Decision-Making Intelligent Service Business (2019-2024)
11.2.5 SAS Recent Development
11.3 Oracle
11.3.1 Oracle Company Details
11.3.2 Oracle Business Overview
11.3.3 Oracle Decision-Making Intelligent Service Introduction
11.3.4 Oracle Revenue in Decision-Making Intelligent Service Business (2019-2024)
11.3.5 Oracle Recent Development
11.4 Google
11.4.1 Google Company Details
11.4.2 Google Business Overview
11.4.3 Google Decision-Making Intelligent Service Introduction
11.4.4 Google Revenue in Decision-Making Intelligent Service Business (2019-2024)
11.4.5 Google Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Details
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Decision-Making Intelligent Service Introduction
11.5.4 Microsoft Revenue in Decision-Making Intelligent Service Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 Palantir
11.6.1 Palantir Company Details
11.6.2 Palantir Business Overview
11.6.3 Palantir Decision-Making Intelligent Service Introduction
11.6.4 Palantir Revenue in Decision-Making Intelligent Service Business (2019-2024)
11.6.5 Palantir Recent Development
11.7 ThoughtSpot
11.7.1 ThoughtSpot Company Details
11.7.2 ThoughtSpot Business Overview
11.7.3 ThoughtSpot Decision-Making Intelligent Service Introduction
11.7.4 ThoughtSpot Revenue in Decision-Making Intelligent Service Business (2019-2024)
11.7.5 ThoughtSpot Recent Development
11.8 Tableau
11.8.1 Tableau Company Details
11.8.2 Tableau Business Overview
11.8.3 Tableau Decision-Making Intelligent Service Introduction
11.8.4 Tableau Revenue in Decision-Making Intelligent Service Business (2019-2024)
11.8.5 Tableau Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
IBM
SAS
Oracle
Google
Microsoft
Palantir
ThoughtSpot
Tableau
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Ìý
*If Applicable.
