
The global market for Supply Chain Analytics Technology Software was estimated to be worth US$ 778 million in 2023 and is forecast to a readjusted size of US$ 1356.6 million by 2030 with a CAGR of 8.2% during the forecast period 2024-2030
North American market for Supply Chain Analytics Technology Software 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 Supply Chain Analytics Technology Software 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 Supply Chain Analytics Technology Software 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 Supply Chain Analytics Technology Software include SAP, PeopleSoft, JDA, Manhattan, Ariba, SAS, IBM Cognos, Tableau and TARGIT, 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 Supply Chain Analytics Technology Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Supply Chain Analytics Technology Software by region & country, by Type, and by Application.
The Supply Chain Analytics Technology Software 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 Supply Chain Analytics Technology Software.
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
U.S.
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
U.A.E
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 Supply Chain Analytics Technology Software 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 Supply Chain Analytics Technology Software 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 Supply Chain Analytics Technology Software 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.
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1 Market Overview
1.1 Supply Chain Analytics Technology Software Product Introduction
1.2 Global Supply Chain Analytics Technology Software Market Size Forecast
1.3 Supply Chain Analytics Technology Software Market Trends & Drivers
1.3.1 Supply Chain Analytics Technology Software Industry Trends
1.3.2 Supply Chain Analytics Technology Software Market Drivers & Opportunity
1.3.3 Supply Chain Analytics Technology Software Market Challenges
1.3.4 Supply Chain Analytics Technology Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Supply Chain Analytics Technology Software Players Revenue Ranking (2023)
2.2 Global Supply Chain Analytics Technology Software Revenue by Company (2019-2024)
2.3 Key Companies Supply Chain Analytics Technology Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Supply Chain Analytics Technology Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Supply Chain Analytics Technology Software
2.6 Supply Chain Analytics Technology Software Market Competitive Analysis
2.6.1 Supply Chain Analytics Technology Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Supply Chain Analytics Technology Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Supply Chain Analytics Technology Software 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 Web Based
3.2 Global Supply Chain Analytics Technology Software Sales Value by Type
3.2.1 Global Supply Chain Analytics Technology Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Supply Chain Analytics Technology Software Sales Value, by Type (2019-2030)
3.2.3 Global Supply Chain Analytics Technology Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises
4.1.2 SMEs
4.2 Global Supply Chain Analytics Technology Software Sales Value by Application
4.2.1 Global Supply Chain Analytics Technology Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Supply Chain Analytics Technology Software Sales Value, by Application (2019-2030)
4.2.3 Global Supply Chain Analytics Technology Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Supply Chain Analytics Technology Software Sales Value by Region
5.1.1 Global Supply Chain Analytics Technology Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Supply Chain Analytics Technology Software Sales Value by Region (2019-2024)
5.1.3 Global Supply Chain Analytics Technology Software Sales Value by Region (2025-2030)
5.1.4 Global Supply Chain Analytics Technology Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Supply Chain Analytics Technology Software Sales Value, 2019-2030
5.2.2 North America Supply Chain Analytics Technology Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Supply Chain Analytics Technology Software Sales Value, 2019-2030
5.3.2 Europe Supply Chain Analytics Technology Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Supply Chain Analytics Technology Software Sales Value, 2019-2030
5.4.2 Asia Pacific Supply Chain Analytics Technology Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Supply Chain Analytics Technology Software Sales Value, 2019-2030
5.5.2 South America Supply Chain Analytics Technology Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Supply Chain Analytics Technology Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Supply Chain Analytics Technology Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Supply Chain Analytics Technology Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Supply Chain Analytics Technology Software Sales Value
6.3 United States
6.3.1 United States Supply Chain Analytics Technology Software Sales Value, 2019-2030
6.3.2 United States Supply Chain Analytics Technology Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Supply Chain Analytics Technology Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Supply Chain Analytics Technology Software Sales Value, 2019-2030
6.4.2 Europe Supply Chain Analytics Technology Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Supply Chain Analytics Technology Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Supply Chain Analytics Technology Software Sales Value, 2019-2030
6.5.2 China Supply Chain Analytics Technology Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Supply Chain Analytics Technology Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Supply Chain Analytics Technology Software Sales Value, 2019-2030
6.6.2 Japan Supply Chain Analytics Technology Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Supply Chain Analytics Technology Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Supply Chain Analytics Technology Software Sales Value, 2019-2030
6.7.2 South Korea Supply Chain Analytics Technology Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Supply Chain Analytics Technology Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Supply Chain Analytics Technology Software Sales Value, 2019-2030
6.8.2 Southeast Asia Supply Chain Analytics Technology Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Supply Chain Analytics Technology Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Supply Chain Analytics Technology Software Sales Value, 2019-2030
6.9.2 India Supply Chain Analytics Technology Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Supply Chain Analytics Technology Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 SAP
7.1.1 SAP Profile
7.1.2 SAP Main Business
7.1.3 SAP Supply Chain Analytics Technology Software Products, Services and Solutions
7.1.4 SAP Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.1.5 SAP Recent Developments
7.2 PeopleSoft
7.2.1 PeopleSoft Profile
7.2.2 PeopleSoft Main Business
7.2.3 PeopleSoft Supply Chain Analytics Technology Software Products, Services and Solutions
7.2.4 PeopleSoft Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.2.5 PeopleSoft Recent Developments
7.3 JDA
7.3.1 JDA Profile
7.3.2 JDA Main Business
7.3.3 JDA Supply Chain Analytics Technology Software Products, Services and Solutions
7.3.4 JDA Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.3.5 Manhattan Recent Developments
7.4 Manhattan
7.4.1 Manhattan Profile
7.4.2 Manhattan Main Business
7.4.3 Manhattan Supply Chain Analytics Technology Software Products, Services and Solutions
7.4.4 Manhattan Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.4.5 Manhattan Recent Developments
7.5 Ariba
7.5.1 Ariba Profile
7.5.2 Ariba Main Business
7.5.3 Ariba Supply Chain Analytics Technology Software Products, Services and Solutions
7.5.4 Ariba Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.5.5 Ariba Recent Developments
7.6 SAS
7.6.1 SAS Profile
7.6.2 SAS Main Business
7.6.3 SAS Supply Chain Analytics Technology Software Products, Services and Solutions
7.6.4 SAS Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.6.5 SAS Recent Developments
7.7 IBM Cognos
7.7.1 IBM Cognos Profile
7.7.2 IBM Cognos Main Business
7.7.3 IBM Cognos Supply Chain Analytics Technology Software Products, Services and Solutions
7.7.4 IBM Cognos Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.7.5 IBM Cognos Recent Developments
7.8 Tableau
7.8.1 Tableau Profile
7.8.2 Tableau Main Business
7.8.3 Tableau Supply Chain Analytics Technology Software Products, Services and Solutions
7.8.4 Tableau Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.8.5 Tableau Recent Developments
7.9 TARGIT
7.9.1 TARGIT Profile
7.9.2 TARGIT Main Business
7.9.3 TARGIT Supply Chain Analytics Technology Software Products, Services and Solutions
7.9.4 TARGIT Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.9.5 TARGIT Recent Developments
7.10 Kinaxis
7.10.1 Kinaxis Profile
7.10.2 Kinaxis Main Business
7.10.3 Kinaxis Supply Chain Analytics Technology Software Products, Services and Solutions
7.10.4 Kinaxis Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.10.5 Kinaxis Recent Developments
7.11 Birst
7.11.1 Birst Profile
7.11.2 Birst Main Business
7.11.3 Birst Supply Chain Analytics Technology Software Products, Services and Solutions
7.11.4 Birst Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.11.5 Birst Recent Developments
7.12 Logility
7.12.1 Logility Profile
7.12.2 Logility Main Business
7.12.3 Logility Supply Chain Analytics Technology Software Products, Services and Solutions
7.12.4 Logility Supply Chain Analytics Technology Software Revenue (US$ Million) & (2019-2024)
7.12.5 Logility Recent Developments
8 Industry Chain Analysis
8.1 Supply Chain Analytics Technology Software Industrial Chain
8.2 Supply Chain Analytics Technology Software 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 Supply Chain Analytics Technology Software Sales Model
8.5.2 Sales Channel
8.5.3 Supply Chain Analytics Technology Software 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
SAP
PeopleSoft
JDA
Manhattan
Ariba
SAS
IBM Cognos
Tableau
TARGIT
Kinaxis
Birst
Logility
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*If Applicable.
