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Global Supply Chain Cost-To-Serve Analytics Software Market Research Report 2024
Synopsis
Supply Chain Cost-To-Serve Analytics Software is a category of software that helps businesses gain deep insights into the costs required to bring a product to market, ship that product, and more. It is about modeling costs that are different for each customer and product, and ensuring they are allocated fairly. 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
Identification and allocation of costs to suppliers and customers
Improved process and resource efficiency.
The global Supply Chain Cost-To-Serve Analytics Software market was valued at US$ 179 million in 2023 and is anticipated to reach US$ 303.1 million by 2030, witnessing a CAGR of 7.6% during the forecast period 2024-2030.
The industry trend of Supply Chain Cost-To-Serve Analytics Software is expected to be positive in the coming years, as more businesses adopt cloud-based and web-based office productivity solutions to cope with the changing work environment and customer demands. The growth of this market is attributable to the increasing adoption of enterprise software among companies to meet unique needs and objectives, the growing adoption of cloud technology, and the need to enhance internal business agility while addressing varied challenges. The COVID-19 pandemic has also accelerated the digital transformation of many businesses, as they have adopted WFH models and BYOD policies to ensure business continuity and resilience. Supply Chain Cost-To-Serve Analytics Software plays a vital role in supporting these trends by providing robust tools for managing and optimizing the supply chain costs.
This report aims to provide a comprehensive presentation of the global market for Supply Chain Cost-To-Serve 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 Cost-To-Serve Analytics Software.
Report Scope
The Supply Chain Cost-To-Serve 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 Cost-To-Serve 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 Cost-To-Serve 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
Oracle
Facton
LLamasoft
Profit Velocity Solutions
Demand Solutions
Micro Estimating
Solvoyo
SpecBreak
TruePlanning
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 Cost-To-Serve 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.
Supply Chain Cost-To-Serve Analytics Software is a category of software that helps businesses gain deep insights into the costs required to bring a product to market, ship that product, and more. It is about modeling costs that are different for each customer and product, and ensuring they are allocated fairly. 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
Identification and allocation of costs to suppliers and customers
Improved process and resource efficiency.
The global Supply Chain Cost-To-Serve Analytics Software market was valued at US$ 179 million in 2023 and is anticipated to reach US$ 303.1 million by 2030, witnessing a CAGR of 7.6% during the forecast period 2024-2030.
The industry trend of Supply Chain Cost-To-Serve Analytics Software is expected to be positive in the coming years, as more businesses adopt cloud-based and web-based office productivity solutions to cope with the changing work environment and customer demands. The growth of this market is attributable to the increasing adoption of enterprise software among companies to meet unique needs and objectives, the growing adoption of cloud technology, and the need to enhance internal business agility while addressing varied challenges. The COVID-19 pandemic has also accelerated the digital transformation of many businesses, as they have adopted WFH models and BYOD policies to ensure business continuity and resilience. Supply Chain Cost-To-Serve Analytics Software plays a vital role in supporting these trends by providing robust tools for managing and optimizing the supply chain costs.
This report aims to provide a comprehensive presentation of the global market for Supply Chain Cost-To-Serve 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 Cost-To-Serve Analytics Software.
Report Scope
The Supply Chain Cost-To-Serve 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 Cost-To-Serve 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 Cost-To-Serve 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
Oracle
Facton
LLamasoft
Profit Velocity Solutions
Demand Solutions
Micro Estimating
Solvoyo
SpecBreak
TruePlanning
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 Cost-To-Serve 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 Cost-To-Serve 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 Cost-To-Serve 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 Cost-To-Serve Analytics Software Market Perspective (2019-2030)
2.2 Supply Chain Cost-To-Serve Analytics Software Growth Trends by Region
2.2.1 Global Supply Chain Cost-To-Serve Analytics Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Supply Chain Cost-To-Serve Analytics Software Historic Market Size by Region (2019-2024)
2.2.3 Supply Chain Cost-To-Serve Analytics Software Forecasted Market Size by Region (2025-2030)
2.3 Supply Chain Cost-To-Serve Analytics Software Market Dynamics
2.3.1 Supply Chain Cost-To-Serve Analytics Software Industry Trends
2.3.2 Supply Chain Cost-To-Serve Analytics Software Market Drivers
2.3.3 Supply Chain Cost-To-Serve Analytics Software Market Challenges
2.3.4 Supply Chain Cost-To-Serve Analytics Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Supply Chain Cost-To-Serve Analytics Software Players by Revenue
3.1.1 Global Top Supply Chain Cost-To-Serve Analytics Software Players by Revenue (2019-2024)
3.1.2 Global Supply Chain Cost-To-Serve Analytics Software Revenue Market Share by Players (2019-2024)
3.2 Global Supply Chain Cost-To-Serve Analytics Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Supply Chain Cost-To-Serve Analytics Software Revenue
3.4 Global Supply Chain Cost-To-Serve Analytics Software Market Concentration Ratio
3.4.1 Global Supply Chain Cost-To-Serve Analytics Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Supply Chain Cost-To-Serve Analytics Software Revenue in 2023
3.5 Supply Chain Cost-To-Serve Analytics Software Key Players Head office and Area Served
3.6 Key Players Supply Chain Cost-To-Serve Analytics Software Product Solution and Service
3.7 Date of Enter into Supply Chain Cost-To-Serve Analytics Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Supply Chain Cost-To-Serve Analytics Software Breakdown Data by Type
4.1 Global Supply Chain Cost-To-Serve Analytics Software Historic Market Size by Type (2019-2024)
4.2 Global Supply Chain Cost-To-Serve Analytics Software Forecasted Market Size by Type (2025-2030)
5 Supply Chain Cost-To-Serve Analytics Software Breakdown Data by Application
5.1 Global Supply Chain Cost-To-Serve Analytics Software Historic Market Size by Application (2019-2024)
5.2 Global Supply Chain Cost-To-Serve Analytics Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Supply Chain Cost-To-Serve Analytics Software Market Size (2019-2030)
6.2 North America Supply Chain Cost-To-Serve Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Supply Chain Cost-To-Serve Analytics Software Market Size by Country (2019-2024)
6.4 North America Supply Chain Cost-To-Serve Analytics Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Supply Chain Cost-To-Serve Analytics Software Market Size (2019-2030)
7.2 Europe Supply Chain Cost-To-Serve Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Supply Chain Cost-To-Serve Analytics Software Market Size by Country (2019-2024)
7.4 Europe Supply Chain Cost-To-Serve 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 Cost-To-Serve Analytics Software Market Size (2019-2030)
8.2 Asia-Pacific Supply Chain Cost-To-Serve Analytics Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Supply Chain Cost-To-Serve Analytics Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Supply Chain Cost-To-Serve 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 Cost-To-Serve Analytics Software Market Size (2019-2030)
9.2 Latin America Supply Chain Cost-To-Serve Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Supply Chain Cost-To-Serve Analytics Software Market Size by Country (2019-2024)
9.4 Latin America Supply Chain Cost-To-Serve 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 Cost-To-Serve Analytics Software Market Size (2019-2030)
10.2 Middle East & Africa Supply Chain Cost-To-Serve Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Supply Chain Cost-To-Serve Analytics Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Supply Chain Cost-To-Serve Analytics Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Oracle
11.1.1 Oracle Company Detail
11.1.2 Oracle Business Overview
11.1.3 Oracle Supply Chain Cost-To-Serve Analytics Software Introduction
11.1.4 Oracle Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.1.5 Oracle Recent Development
11.2 Facton
11.2.1 Facton Company Detail
11.2.2 Facton Business Overview
11.2.3 Facton Supply Chain Cost-To-Serve Analytics Software Introduction
11.2.4 Facton Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.2.5 Facton Recent Development
11.3 LLamasoft
11.3.1 LLamasoft Company Detail
11.3.2 LLamasoft Business Overview
11.3.3 LLamasoft Supply Chain Cost-To-Serve Analytics Software Introduction
11.3.4 LLamasoft Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.3.5 LLamasoft Recent Development
11.4 Profit Velocity Solutions
11.4.1 Profit Velocity Solutions Company Detail
11.4.2 Profit Velocity Solutions Business Overview
11.4.3 Profit Velocity Solutions Supply Chain Cost-To-Serve Analytics Software Introduction
11.4.4 Profit Velocity Solutions Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.4.5 Profit Velocity Solutions Recent Development
11.5 Demand Solutions
11.5.1 Demand Solutions Company Detail
11.5.2 Demand Solutions Business Overview
11.5.3 Demand Solutions Supply Chain Cost-To-Serve Analytics Software Introduction
11.5.4 Demand Solutions Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.5.5 Demand Solutions Recent Development
11.6 Micro Estimating
11.6.1 Micro Estimating Company Detail
11.6.2 Micro Estimating Business Overview
11.6.3 Micro Estimating Supply Chain Cost-To-Serve Analytics Software Introduction
11.6.4 Micro Estimating Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.6.5 Micro Estimating Recent Development
11.7 Solvoyo
11.7.1 Solvoyo Company Detail
11.7.2 Solvoyo Business Overview
11.7.3 Solvoyo Supply Chain Cost-To-Serve Analytics Software Introduction
11.7.4 Solvoyo Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.7.5 Solvoyo Recent Development
11.8 SpecBreak
11.8.1 SpecBreak Company Detail
11.8.2 SpecBreak Business Overview
11.8.3 SpecBreak Supply Chain Cost-To-Serve Analytics Software Introduction
11.8.4 SpecBreak Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.8.5 SpecBreak Recent Development
11.9 TruePlanning
11.9.1 TruePlanning Company Detail
11.9.2 TruePlanning Business Overview
11.9.3 TruePlanning Supply Chain Cost-To-Serve Analytics Software Introduction
11.9.4 TruePlanning Revenue in Supply Chain Cost-To-Serve Analytics Software Business (2019-2024)
11.9.5 TruePlanning 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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