Global Supply Chain Analytics Software Market Research Report 2025(Status and Outlook)
Description
Report Overview
Supply chain analytics software refers to a specialized tool that enables organizations to collect, track, analyze, and visualize data related to their supply chain operations. This software helps businesses optimize their supply chain processes by providing insights into key performance indicators, such as inventory levels, supplier performance, transportation costs, and demand forecasting. By leveraging advanced analytics techniques, organizations can make data-driven decisions to improve efficiency, reduce costs, mitigate risks, and enhance overall supply chain performance. Supply chain analytics software plays a crucial role in enabling companies to gain a competitive edge in today's complex and dynamic business environment.
The market for supply chain analytics software is experiencing significant growth driven by several key factors. One of the primary market trends is the increasing adoption of advanced technologies, such as artificial intelligence, machine learning, and big data analytics, to enhance supply chain visibility and decision-making capabilities. Organizations are recognizing the importance of real-time data analytics in optimizing their supply chain operations and meeting customer demands efficiently. In addition, the growing complexity of global supply chains, coupled with the rising need for cost reduction and operational efficiency, is fueling the demand for supply chain analytics software. Companies are looking to streamline their supply chain processes, improve collaboration with suppliers and partners, and mitigate risks through data-driven insights.
At the same time, the market for supply chain analytics software is being driven by the rising focus on sustainability and environmental responsibility. Organizations are increasingly seeking ways to reduce waste, minimize carbon footprint, and ensure ethical sourcing practices across their supply chains. Supply chain analytics software enables companies to track and analyze sustainability metrics, such as energy consumption, greenhouse gas emissions, and waste generation, to make informed decisions that align with their corporate social responsibility goals. As sustainability continues to be a top priority for businesses and consumers alike, the demand for supply chain analytics software that supports sustainable practices is expected to grow in the coming years.
The global Supply Chain Analytics Software market size was estimated at USD 841.80 million in 2024 and is projected to reach USD 1581.35 million by 2033, exhibiting a CAGR of 8.20% during the forecast period.
This report provides a deep insight into the global Supply Chain Analytics Software market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter's five forces analysis, value chain analysis, PEST analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Supply Chain Analytics Software Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Supply Chain Analytics Software market in any manner.
Global Supply Chain Analytics Software Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
SAP
PeopleSoft
JDA
Manhattan
Ariba
SAS
IBM Cognos
Tableau
TARGIT
Kinaxis
Birst
Logility
Market Segmentation (by Type)
Cloud Based
Web Based
Market Segmentation (by Application)
Large Enterprises
SMEs
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Supply Chain Analytics Software Market
Overview of the regional outlook of the Supply Chain Analytics Software Market:
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, 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 Supply Chain Analytics Software Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the 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 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to 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 8 provides a quantitative analysis of the market size and development potential of each region from the consumer side and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of Supply Chain Analytics Software, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region during the forecast period.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment during the forecast period.
Chapter 13 is the main points and conclusions of the report.
Supply chain analytics software refers to a specialized tool that enables organizations to collect, track, analyze, and visualize data related to their supply chain operations. This software helps businesses optimize their supply chain processes by providing insights into key performance indicators, such as inventory levels, supplier performance, transportation costs, and demand forecasting. By leveraging advanced analytics techniques, organizations can make data-driven decisions to improve efficiency, reduce costs, mitigate risks, and enhance overall supply chain performance. Supply chain analytics software plays a crucial role in enabling companies to gain a competitive edge in today's complex and dynamic business environment.
The market for supply chain analytics software is experiencing significant growth driven by several key factors. One of the primary market trends is the increasing adoption of advanced technologies, such as artificial intelligence, machine learning, and big data analytics, to enhance supply chain visibility and decision-making capabilities. Organizations are recognizing the importance of real-time data analytics in optimizing their supply chain operations and meeting customer demands efficiently. In addition, the growing complexity of global supply chains, coupled with the rising need for cost reduction and operational efficiency, is fueling the demand for supply chain analytics software. Companies are looking to streamline their supply chain processes, improve collaboration with suppliers and partners, and mitigate risks through data-driven insights.
At the same time, the market for supply chain analytics software is being driven by the rising focus on sustainability and environmental responsibility. Organizations are increasingly seeking ways to reduce waste, minimize carbon footprint, and ensure ethical sourcing practices across their supply chains. Supply chain analytics software enables companies to track and analyze sustainability metrics, such as energy consumption, greenhouse gas emissions, and waste generation, to make informed decisions that align with their corporate social responsibility goals. As sustainability continues to be a top priority for businesses and consumers alike, the demand for supply chain analytics software that supports sustainable practices is expected to grow in the coming years.
The global Supply Chain Analytics Software market size was estimated at USD 841.80 million in 2024 and is projected to reach USD 1581.35 million by 2033, exhibiting a CAGR of 8.20% during the forecast period.
This report provides a deep insight into the global Supply Chain Analytics Software market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter's five forces analysis, value chain analysis, PEST analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Supply Chain Analytics Software Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Supply Chain Analytics Software market in any manner.
Global Supply Chain Analytics Software Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
SAP
PeopleSoft
JDA
Manhattan
Ariba
SAS
IBM Cognos
Tableau
TARGIT
Kinaxis
Birst
Logility
Market Segmentation (by Type)
Cloud Based
Web Based
Market Segmentation (by Application)
Large Enterprises
SMEs
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Supply Chain Analytics Software Market
Overview of the regional outlook of the Supply Chain Analytics Software Market:
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, 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 Supply Chain Analytics Software Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the 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 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to 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 8 provides a quantitative analysis of the market size and development potential of each region from the consumer side and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of Supply Chain Analytics Software, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region during the forecast period.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment during the forecast period.
Chapter 13 is the main points and conclusions of the report.
Table of Contents
122 Pages
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of Supply Chain Analytics Software
- 1.2 Key Market Segments
- 1.2.1 Supply Chain Analytics Software Segment by Type
- 1.2.2 Supply Chain Analytics Software Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 Supply Chain Analytics Software Market Overview
- 2.1 Global Market Overview
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 Supply Chain Analytics Software Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global Supply Chain Analytics Software Product Life Cycle
- 3.3 Global Supply Chain Analytics Software Revenue Market Share by Company (2020-2025)
- 3.4 Supply Chain Analytics Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.5 Supply Chain Analytics Software Company Headquarters, Area Served, Product Type
- 3.6 Supply Chain Analytics Software Market Competitive Situation and Trends
- 3.6.1 Supply Chain Analytics Software Market Concentration Rate
- 3.6.2 Global 5 and 10 Largest Supply Chain Analytics Software Players Market Share by Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 Supply Chain Analytics Software Value Chain Analysis
- 4.1 Supply Chain Analytics Software Value Chain Analysis
- 4.2 Midstream Market Analysis
- 4.3 Downstream Customer Analysis
- 5 The Development and Dynamics of Supply Chain Analytics Software Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Market Restraints
- 5.5 Industry News
- 5.5.1 New Product Developments
- 5.5.2 Mergers & Acquisitions
- 5.5.3 Expansions
- 5.5.4 Collaboration/Supply Contracts
- 5.6 PEST Analysis
- 5.6.1 Industry Policies Analysis
- 5.6.2 Economic Environment Analysis
- 5.6.3 Social Environment Analysis
- 5.6.4 Technological Environment Analysis
- 5.7 Global Supply Chain Analytics Software Market Porter's Five Forces Analysis
- 6 Supply Chain Analytics Software Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global Supply Chain Analytics Software Market Size Market Share by Type (2020-2025)
- 6.3 Global Supply Chain Analytics Software Market Size Growth Rate by Type (2021-2025)
- 7 Supply Chain Analytics Software Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global Supply Chain Analytics Software Market Size (M USD) by Application (2020-2025)
- 7.3 Global Supply Chain Analytics Software Sales Growth Rate by Application (2020-2025)
- 8 Supply Chain Analytics Software Market Segmentation by Region
- 8.1 Global Supply Chain Analytics Software Market Size by Region
- 8.1.1 Global Supply Chain Analytics Software Market Size by Region
- 8.1.2 Global Supply Chain Analytics Software Market Size Market Share by Region
- 8.2 North America
- 8.2.1 North America Supply Chain Analytics Software Market Size by Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe Supply Chain Analytics Software Market Size by Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Russia
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific Supply Chain Analytics Software Market Size by Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America Supply Chain Analytics Software Market Size by Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East and Africa
- 8.6.1 Middle East and Africa Supply Chain Analytics Software Market Size by Region
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 9 Key Companies Profile
- 9.1 SAP
- 9.1.1 SAP Basic Information
- 9.1.2 SAP Supply Chain Analytics Software Product Overview
- 9.1.3 SAP Supply Chain Analytics Software Product Market Performance
- 9.1.4 SAP Supply Chain Analytics Software SWOT Analysis
- 9.1.5 SAP Business Overview
- 9.1.6 SAP Recent Developments
- 9.2 PeopleSoft
- 9.2.1 PeopleSoft Basic Information
- 9.2.2 PeopleSoft Supply Chain Analytics Software Product Overview
- 9.2.3 PeopleSoft Supply Chain Analytics Software Product Market Performance
- 9.2.4 PeopleSoft Supply Chain Analytics Software SWOT Analysis
- 9.2.5 PeopleSoft Business Overview
- 9.2.6 PeopleSoft Recent Developments
- 9.3 JDA
- 9.3.1 JDA Basic Information
- 9.3.2 JDA Supply Chain Analytics Software Product Overview
- 9.3.3 JDA Supply Chain Analytics Software Product Market Performance
- 9.3.4 JDA Supply Chain Analytics Software SWOT Analysis
- 9.3.5 JDA Business Overview
- 9.3.6 JDA Recent Developments
- 9.4 Manhattan
- 9.4.1 Manhattan Basic Information
- 9.4.2 Manhattan Supply Chain Analytics Software Product Overview
- 9.4.3 Manhattan Supply Chain Analytics Software Product Market Performance
- 9.4.4 Manhattan Business Overview
- 9.4.5 Manhattan Recent Developments
- 9.5 Ariba
- 9.5.1 Ariba Basic Information
- 9.5.2 Ariba Supply Chain Analytics Software Product Overview
- 9.5.3 Ariba Supply Chain Analytics Software Product Market Performance
- 9.5.4 Ariba Business Overview
- 9.5.5 Ariba Recent Developments
- 9.6 SAS
- 9.6.1 SAS Basic Information
- 9.6.2 SAS Supply Chain Analytics Software Product Overview
- 9.6.3 SAS Supply Chain Analytics Software Product Market Performance
- 9.6.4 SAS Business Overview
- 9.6.5 SAS Recent Developments
- 9.7 IBM Cognos
- 9.7.1 IBM Cognos Basic Information
- 9.7.2 IBM Cognos Supply Chain Analytics Software Product Overview
- 9.7.3 IBM Cognos Supply Chain Analytics Software Product Market Performance
- 9.7.4 IBM Cognos Business Overview
- 9.7.5 IBM Cognos Recent Developments
- 9.8 Tableau
- 9.8.1 Tableau Basic Information
- 9.8.2 Tableau Supply Chain Analytics Software Product Overview
- 9.8.3 Tableau Supply Chain Analytics Software Product Market Performance
- 9.8.4 Tableau Business Overview
- 9.8.5 Tableau Recent Developments
- 9.9 TARGIT
- 9.9.1 TARGIT Basic Information
- 9.9.2 TARGIT Supply Chain Analytics Software Product Overview
- 9.9.3 TARGIT Supply Chain Analytics Software Product Market Performance
- 9.9.4 TARGIT Business Overview
- 9.9.5 TARGIT Recent Developments
- 9.10 Kinaxis
- 9.10.1 Kinaxis Basic Information
- 9.10.2 Kinaxis Supply Chain Analytics Software Product Overview
- 9.10.3 Kinaxis Supply Chain Analytics Software Product Market Performance
- 9.10.4 Kinaxis Business Overview
- 9.10.5 Kinaxis Recent Developments
- 9.11 Birst
- 9.11.1 Birst Basic Information
- 9.11.2 Birst Supply Chain Analytics Software Product Overview
- 9.11.3 Birst Supply Chain Analytics Software Product Market Performance
- 9.11.4 Birst Business Overview
- 9.11.5 Birst Recent Developments
- 9.12 Logility
- 9.12.1 Logility Basic Information
- 9.12.2 Logility Supply Chain Analytics Software Product Overview
- 9.12.3 Logility Supply Chain Analytics Software Product Market Performance
- 9.12.4 Logility Business Overview
- 9.12.5 Logility Recent Developments
- 10 Supply Chain Analytics Software Market Forecast by Region
- 10.1 Global Supply Chain Analytics Software Market Size Forecast
- 10.2 Global Supply Chain Analytics Software Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe Supply Chain Analytics Software Market Size Forecast by Country
- 10.2.3 Asia Pacific Supply Chain Analytics Software Market Size Forecast by Region
- 10.2.4 South America Supply Chain Analytics Software Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Sales of Supply Chain Analytics Software by Country
- 11 Forecast Market by Type and by Application (2026-2033)
- 11.1 Global Supply Chain Analytics Software Market Forecast by Type (2026-2033)
- 11.2 Global Supply Chain Analytics Software Market Forecast by Application (2026-2033)
- 12 Conclusion and Key Findings
Pricing
Currency Rates
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