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Global Supply Chain Cost-to-Serve Analytics Technology Market Research Report 2024
Synopsis
Supply chain cost-to-serve (CTS) analysis is the ability to understand profitability at a deeper level along multiple dimensions, including customer, product and route to market. The CTS analysis solution market’s most common use cases are:More informed product portfolio management Costing decisions and supply network design Gain sharing between suppliers and customers Differentiated performance targets for supply chain segments Improved process and resource efficiency.
The global Supply Chain Cost-to-Serve Analytics Technology 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.
North American market for Supply Chain Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology in Large Enterprises(1000+ Users) 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 Cost-to-Serve Analytics Technology include LLamasoft, Oracle, JDA Software, Facton, Jonova and Profit Velocity Solutions, 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 Cost-to-Serve Analytics Technology, 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 Cost-to-Serve Analytics Technology.
Report Scope
The Supply Chain Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology 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
LLamasoft
Oracle
JDA Software
Facton
Jonova
Profit Velocity Solutions
Segment by Type
Cloud-Based
On-Premises
Segment by Application
Large Enterprises(1000+ Users)
Medium-Sized Enterprise(499-1000 Users)
Small Enterprises(1-499 Users)
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 Cost-to-Serve Analytics Technology 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.
Supply chain cost-to-serve (CTS) analysis is the ability to understand profitability at a deeper level along multiple dimensions, including customer, product and route to market. The CTS analysis solution market’s most common use cases are:More informed product portfolio management Costing decisions and supply network design Gain sharing between suppliers and customers Differentiated performance targets for supply chain segments Improved process and resource efficiency.
The global Supply Chain Cost-to-Serve Analytics Technology 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.
North American market for Supply Chain Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology in Large Enterprises(1000+ Users) 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 Cost-to-Serve Analytics Technology include LLamasoft, Oracle, JDA Software, Facton, Jonova and Profit Velocity Solutions, 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 Cost-to-Serve Analytics Technology, 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 Cost-to-Serve Analytics Technology.
Report Scope
The Supply Chain Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology 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
LLamasoft
Oracle
JDA Software
Facton
Jonova
Profit Velocity Solutions
Segment by Type
Cloud-Based
On-Premises
Segment by Application
Large Enterprises(1000+ Users)
Medium-Sized Enterprise(499-1000 Users)
Small Enterprises(1-499 Users)
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 Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology 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 Supply Chain Cost-to-Serve Analytics Technology Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises(1000+ Users)
1.3.3 Medium-Sized Enterprise(499-1000 Users)
1.3.4 Small Enterprises(1-499 Users)
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Supply Chain Cost-to-Serve Analytics Technology Market Perspective (2019-2030)
2.2 Supply Chain Cost-to-Serve Analytics Technology Growth Trends by Region
2.2.1 Global Supply Chain Cost-to-Serve Analytics Technology Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Supply Chain Cost-to-Serve Analytics Technology Historic Market Size by Region (2019-2024)
2.2.3 Supply Chain Cost-to-Serve Analytics Technology Forecasted Market Size by Region (2025-2030)
2.3 Supply Chain Cost-to-Serve Analytics Technology Market Dynamics
2.3.1 Supply Chain Cost-to-Serve Analytics Technology Industry Trends
2.3.2 Supply Chain Cost-to-Serve Analytics Technology Market Drivers
2.3.3 Supply Chain Cost-to-Serve Analytics Technology Market Challenges
2.3.4 Supply Chain Cost-to-Serve Analytics Technology Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Supply Chain Cost-to-Serve Analytics Technology Players by Revenue
3.1.1 Global Top Supply Chain Cost-to-Serve Analytics Technology Players by Revenue (2019-2024)
3.1.2 Global Supply Chain Cost-to-Serve Analytics Technology Revenue Market Share by Players (2019-2024)
3.2 Global Supply Chain Cost-to-Serve Analytics Technology Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Supply Chain Cost-to-Serve Analytics Technology Revenue
3.4 Global Supply Chain Cost-to-Serve Analytics Technology Market Concentration Ratio
3.4.1 Global Supply Chain Cost-to-Serve Analytics Technology Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Supply Chain Cost-to-Serve Analytics Technology Revenue in 2023
3.5 Supply Chain Cost-to-Serve Analytics Technology Key Players Head office and Area Served
3.6 Key Players Supply Chain Cost-to-Serve Analytics Technology Product Solution and Service
3.7 Date of Enter into Supply Chain Cost-to-Serve Analytics Technology Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Supply Chain Cost-to-Serve Analytics Technology Breakdown Data by Type
4.1 Global Supply Chain Cost-to-Serve Analytics Technology Historic Market Size by Type (2019-2024)
4.2 Global Supply Chain Cost-to-Serve Analytics Technology Forecasted Market Size by Type (2025-2030)
5 Supply Chain Cost-to-Serve Analytics Technology Breakdown Data by Application
5.1 Global Supply Chain Cost-to-Serve Analytics Technology Historic Market Size by Application (2019-2024)
5.2 Global Supply Chain Cost-to-Serve Analytics Technology Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Supply Chain Cost-to-Serve Analytics Technology Market Size (2019-2030)
6.2 North America Supply Chain Cost-to-Serve Analytics Technology Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Supply Chain Cost-to-Serve Analytics Technology Market Size by Country (2019-2024)
6.4 North America Supply Chain Cost-to-Serve Analytics Technology Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Supply Chain Cost-to-Serve Analytics Technology Market Size (2019-2030)
7.2 Europe Supply Chain Cost-to-Serve Analytics Technology Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Supply Chain Cost-to-Serve Analytics Technology Market Size by Country (2019-2024)
7.4 Europe Supply Chain Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology Market Size (2019-2030)
8.2 Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology Market Size by Region (2019-2024)
8.4 Asia-Pacific Supply Chain Cost-to-Serve Analytics Technology 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 Cost-to-Serve Analytics Technology Market Size (2019-2030)
9.2 Latin America Supply Chain Cost-to-Serve Analytics Technology Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Supply Chain Cost-to-Serve Analytics Technology Market Size by Country (2019-2024)
9.4 Latin America Supply Chain Cost-to-Serve Analytics Technology Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Supply Chain Cost-to-Serve Analytics Technology Market Size (2019-2030)
10.2 Middle East & Africa Supply Chain Cost-to-Serve Analytics Technology Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Supply Chain Cost-to-Serve Analytics Technology Market Size by Country (2019-2024)
10.4 Middle East & Africa Supply Chain Cost-to-Serve Analytics Technology Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 LLamasoft
11.1.1 LLamasoft Company Detail
11.1.2 LLamasoft Business Overview
11.1.3 LLamasoft Supply Chain Cost-to-Serve Analytics Technology Introduction
11.1.4 LLamasoft Revenue in Supply Chain Cost-to-Serve Analytics Technology Business (2019-2024)
11.1.5 LLamasoft Recent Development
11.2 Oracle
11.2.1 Oracle Company Detail
11.2.2 Oracle Business Overview
11.2.3 Oracle Supply Chain Cost-to-Serve Analytics Technology Introduction
11.2.4 Oracle Revenue in Supply Chain Cost-to-Serve Analytics Technology Business (2019-2024)
11.2.5 Oracle Recent Development
11.3 JDA Software
11.3.1 JDA Software Company Detail
11.3.2 JDA Software Business Overview
11.3.3 JDA Software Supply Chain Cost-to-Serve Analytics Technology Introduction
11.3.4 JDA Software Revenue in Supply Chain Cost-to-Serve Analytics Technology Business (2019-2024)
11.3.5 JDA Software Recent Development
11.4 Facton
11.4.1 Facton Company Detail
11.4.2 Facton Business Overview
11.4.3 Facton Supply Chain Cost-to-Serve Analytics Technology Introduction
11.4.4 Facton Revenue in Supply Chain Cost-to-Serve Analytics Technology Business (2019-2024)
11.4.5 Facton Recent Development
11.5 Jonova
11.5.1 Jonova Company Detail
11.5.2 Jonova Business Overview
11.5.3 Jonova Supply Chain Cost-to-Serve Analytics Technology Introduction
11.5.4 Jonova Revenue in Supply Chain Cost-to-Serve Analytics Technology Business (2019-2024)
11.5.5 Jonova Recent Development
11.6 Profit Velocity Solutions
11.6.1 Profit Velocity Solutions Company Detail
11.6.2 Profit Velocity Solutions Business Overview
11.6.3 Profit Velocity Solutions Supply Chain Cost-to-Serve Analytics Technology Introduction
11.6.4 Profit Velocity Solutions Revenue in Supply Chain Cost-to-Serve Analytics Technology Business (2019-2024)
11.6.5 Profit Velocity Solutions 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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