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Global Supply Chain Analytics Software Market Research Report 2024
Synopsis
The global Supply Chain Analytics Software market was valued at US$ 778 million in 2023 and is anticipated to reach US$ 1356.6 million by 2030, witnessing a CAGR of 8.2% during the forecast period 2024-2030.
North American market for Supply Chain Analytics Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Supply Chain Analytics Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Supply Chain Analytics Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Supply Chain Analytics Software include SAP, PeopleSoft, JDA, Manhattan, Ariba, SAS, IBM Cognos, Tableau and TARGIT, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Supply Chain Analytics Software, 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 Supply Chain Analytics Software.
Report Scope
The Supply Chain Analytics Software market size, estimations, and forecasts are provided in terms of 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 Supply Chain Analytics Software 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 Supply Chain Analytics Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
SAP
PeopleSoft
JDA
Manhattan
Ariba
SAS
IBM Cognos
Tableau
TARGIT
Kinaxis
Birst
Logility
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 Supply Chain Analytics Software companies’ 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.
The global Supply Chain Analytics Software market was valued at US$ 778 million in 2023 and is anticipated to reach US$ 1356.6 million by 2030, witnessing a CAGR of 8.2% during the forecast period 2024-2030.
North American market for Supply Chain Analytics Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Supply Chain Analytics Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Supply Chain Analytics Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Supply Chain Analytics Software include SAP, PeopleSoft, JDA, Manhattan, Ariba, SAS, IBM Cognos, Tableau and TARGIT, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Supply Chain Analytics Software, 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 Supply Chain Analytics Software.
Report Scope
The Supply Chain Analytics Software market size, estimations, and forecasts are provided in terms of 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 Supply Chain Analytics Software 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 Supply Chain Analytics Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
SAP
PeopleSoft
JDA
Manhattan
Ariba
SAS
IBM Cognos
Tableau
TARGIT
Kinaxis
Birst
Logility
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 Supply Chain Analytics Software companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Supply Chain Analytics Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 Web Based
1.3 Market by Application
1.3.1 Global Supply Chain Analytics Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Supply Chain Analytics Software Market Perspective (2019-2030)
2.2 Supply Chain Analytics Software Growth Trends by Region
2.2.1 Global Supply Chain Analytics Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Supply Chain Analytics Software Historic Market Size by Region (2019-2024)
2.2.3 Supply Chain Analytics Software Forecasted Market Size by Region (2025-2030)
2.3 Supply Chain Analytics Software Market Dynamics
2.3.1 Supply Chain Analytics Software Industry Trends
2.3.2 Supply Chain Analytics Software Market Drivers
2.3.3 Supply Chain Analytics Software Market Challenges
2.3.4 Supply Chain Analytics Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Supply Chain Analytics Software Players by Revenue
3.1.1 Global Top Supply Chain Analytics Software Players by Revenue (2019-2024)
3.1.2 Global Supply Chain Analytics Software Revenue Market Share by Players (2019-2024)
3.2 Global Supply Chain Analytics Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Supply Chain Analytics Software Revenue
3.4 Global Supply Chain Analytics Software Market Concentration Ratio
3.4.1 Global Supply Chain Analytics Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Supply Chain Analytics Software Revenue in 2023
3.5 Supply Chain Analytics Software Key Players Head office and Area Served
3.6 Key Players Supply Chain Analytics Software Product Solution and Service
3.7 Date of Enter into Supply Chain Analytics Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Supply Chain Analytics Software Breakdown Data by Type
4.1 Global Supply Chain Analytics Software Historic Market Size by Type (2019-2024)
4.2 Global Supply Chain Analytics Software Forecasted Market Size by Type (2025-2030)
5 Supply Chain Analytics Software Breakdown Data by Application
5.1 Global Supply Chain Analytics Software Historic Market Size by Application (2019-2024)
5.2 Global Supply Chain Analytics Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Supply Chain Analytics Software Market Size (2019-2030)
6.2 North America Supply Chain Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Supply Chain Analytics Software Market Size by Country (2019-2024)
6.4 North America Supply Chain Analytics Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Supply Chain Analytics Software Market Size (2019-2030)
7.2 Europe Supply Chain Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Supply Chain Analytics Software Market Size by Country (2019-2024)
7.4 Europe Supply Chain Analytics Software 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 Supply Chain Analytics Software Market Size (2019-2030)
8.2 Asia-Pacific Supply Chain Analytics Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Supply Chain Analytics Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Supply Chain Analytics Software 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 Supply Chain Analytics Software Market Size (2019-2030)
9.2 Latin America Supply Chain Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Supply Chain Analytics Software Market Size by Country (2019-2024)
9.4 Latin America Supply Chain Analytics Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Supply Chain Analytics Software Market Size (2019-2030)
10.2 Middle East & Africa Supply Chain Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Supply Chain Analytics Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Supply Chain Analytics Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 SAP
11.1.1 SAP Company Detail
11.1.2 SAP Business Overview
11.1.3 SAP Supply Chain Analytics Software Introduction
11.1.4 SAP Revenue in Supply Chain Analytics Software Business (2019-2024)
11.1.5 SAP Recent Development
11.2 PeopleSoft
11.2.1 PeopleSoft Company Detail
11.2.2 PeopleSoft Business Overview
11.2.3 PeopleSoft Supply Chain Analytics Software Introduction
11.2.4 PeopleSoft Revenue in Supply Chain Analytics Software Business (2019-2024)
11.2.5 PeopleSoft Recent Development
11.3 JDA
11.3.1 JDA Company Detail
11.3.2 JDA Business Overview
11.3.3 JDA Supply Chain Analytics Software Introduction
11.3.4 JDA Revenue in Supply Chain Analytics Software Business (2019-2024)
11.3.5 JDA Recent Development
11.4 Manhattan
11.4.1 Manhattan Company Detail
11.4.2 Manhattan Business Overview
11.4.3 Manhattan Supply Chain Analytics Software Introduction
11.4.4 Manhattan Revenue in Supply Chain Analytics Software Business (2019-2024)
11.4.5 Manhattan Recent Development
11.5 Ariba
11.5.1 Ariba Company Detail
11.5.2 Ariba Business Overview
11.5.3 Ariba Supply Chain Analytics Software Introduction
11.5.4 Ariba Revenue in Supply Chain Analytics Software Business (2019-2024)
11.5.5 Ariba Recent Development
11.6 SAS
11.6.1 SAS Company Detail
11.6.2 SAS Business Overview
11.6.3 SAS Supply Chain Analytics Software Introduction
11.6.4 SAS Revenue in Supply Chain Analytics Software Business (2019-2024)
11.6.5 SAS Recent Development
11.7 IBM Cognos
11.7.1 IBM Cognos Company Detail
11.7.2 IBM Cognos Business Overview
11.7.3 IBM Cognos Supply Chain Analytics Software Introduction
11.7.4 IBM Cognos Revenue in Supply Chain Analytics Software Business (2019-2024)
11.7.5 IBM Cognos Recent Development
11.8 Tableau
11.8.1 Tableau Company Detail
11.8.2 Tableau Business Overview
11.8.3 Tableau Supply Chain Analytics Software Introduction
11.8.4 Tableau Revenue in Supply Chain Analytics Software Business (2019-2024)
11.8.5 Tableau Recent Development
11.9 TARGIT
11.9.1 TARGIT Company Detail
11.9.2 TARGIT Business Overview
11.9.3 TARGIT Supply Chain Analytics Software Introduction
11.9.4 TARGIT Revenue in Supply Chain Analytics Software Business (2019-2024)
11.9.5 TARGIT Recent Development
11.10 Kinaxis
11.10.1 Kinaxis Company Detail
11.10.2 Kinaxis Business Overview
11.10.3 Kinaxis Supply Chain Analytics Software Introduction
11.10.4 Kinaxis Revenue in Supply Chain Analytics Software Business (2019-2024)
11.10.5 Kinaxis Recent Development
11.11 Birst
11.11.1 Birst Company Detail
11.11.2 Birst Business Overview
11.11.3 Birst Supply Chain Analytics Software Introduction
11.11.4 Birst Revenue in Supply Chain Analytics Software Business (2019-2024)
11.11.5 Birst Recent Development
11.12 Logility
11.12.1 Logility Company Detail
11.12.2 Logility Business Overview
11.12.3 Logility Supply Chain Analytics Software Introduction
11.12.4 Logility Revenue in Supply Chain Analytics Software Business (2019-2024)
11.12.5 Logility Recent Development
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
Published By : QY Research
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