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Multi Echelon Inventory Optimization (MEIO)-Global Market Insights and Sales Trends 2025

Multi Echelon Inventory Optimization (MEIO)-Global Market Insights and Sales Trends 2025

Publishing Date : Mar, 2025

License Type :
 

Report Code : 1881603

No of Pages : 103

Synopsis
Inventory optimization is the balancing of investments in stock-keeping units and service goals, while taking into account the volatilities of demand and supply. One of the major challenges a company faces is matching its supply to consumers’ demand. How efficiently a company addresses this challenge directly impacts the company’s profitability. Working capital being of utmost importance for any company, it is important for companies to keep low levels of stock and sell them quickly. Supply chains today have multiple layers of suppliers and distributors. With each layer adding some safety stock considering service requirements, a significant amount of working capital is involved. Multi echelon inventory optimization approach involves taking a holistic approach toward the entire supply chain and considering the impact inventories have at any given level in the supply chain. It answers where in the supply chain inventories should be placed and optimizing and updating buffer stock at all levels. By effectively modeling the entire supply chain from raw materials to manufacturing and finished goods, multi echelon inventory optimization creates what-if scenarios and explores alternate suppliers, transport links, lead times as well as locations. Levels of safety stocks and postponement strategies having lower cost implications are also verified in the process.
The global Multi Echelon Inventory Optimization (MEIO) market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Multi Echelon Inventory Optimization (MEIO) in various end use industries. The expanding demands from the Consumer Goods, Food and Beverages, Chemical and Retail, are propelling Multi Echelon Inventory Optimization (MEIO) market. Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Services segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Multi Echelon Inventory Optimization (MEIO) market, driven by demand from China, the second largest economy with some signs of stabilising, the Multi Echelon Inventory Optimization (MEIO) market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Multi Echelon Inventory Optimization (MEIO), with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Multi Echelon Inventory Optimization (MEIO) market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Multi Echelon Inventory Optimization (MEIO) market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Multi Echelon Inventory Optimization (MEIO) sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Multi Echelon Inventory Optimization (MEIO) covered in this report include ToolsGroup, Logility,Inc, Manhattan Associates, Smart Software, Arkieva, Kinaxis, Thrive Technologies, Logic Tools Inc and E2open, etc.
The global Multi Echelon Inventory Optimization (MEIO) market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
ToolsGroup
Logility,Inc
Manhattan Associates
Smart Software
Arkieva
Kinaxis
Thrive Technologies
Logic Tools Inc
E2open
LLamasoft Inc
One Network
Blue Yonder
Global Multi Echelon Inventory Optimization (MEIO) market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Multi Echelon Inventory Optimization (MEIO) market, Segment by Type:
Software
Services
Global Multi Echelon Inventory Optimization (MEIO) market, by Application
Consumer Goods
Food and Beverages
Chemical
Retail
Manufacturing
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Multi Echelon Inventory Optimization (MEIO) companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index
1 Market Overview of Multi Echelon Inventory Optimization (MEIO)
1.1 Multi Echelon Inventory Optimization (MEIO) Market Overview
1.1.1 Multi Echelon Inventory Optimization (MEIO) Product Scope
1.1.2 Multi Echelon Inventory Optimization (MEIO) Market Status and Outlook
1.2 Global Multi Echelon Inventory Optimization (MEIO) Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Multi Echelon Inventory Optimization (MEIO) Market Size by Region (2018-2029)
1.4 Global Multi Echelon Inventory Optimization (MEIO) Historic Market Size by Region (2018-2023)
1.5 Global Multi Echelon Inventory Optimization (MEIO) Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Multi Echelon Inventory Optimization (MEIO) Market Size (2018-2029)
1.6.1 North America Multi Echelon Inventory Optimization (MEIO) Market Size (2018-2029)
1.6.2 Europe Multi Echelon Inventory Optimization (MEIO) Market Size (2018-2029)
1.6.3 Asia-Pacific Multi Echelon Inventory Optimization (MEIO) Market Size (2018-2029)
1.6.4 Latin America Multi Echelon Inventory Optimization (MEIO) Market Size (2018-2029)
1.6.5 Middle East & Africa Multi Echelon Inventory Optimization (MEIO) Market Size (2018-2029)
2 Multi Echelon Inventory Optimization (MEIO) Market by Type
2.1 Introduction
2.1.1 Software
2.1.2 Services
2.2 Global Multi Echelon Inventory Optimization (MEIO) Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Multi Echelon Inventory Optimization (MEIO) Historic Market Size by Type (2018-2023)
2.2.2 Global Multi Echelon Inventory Optimization (MEIO) Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Type (2018-2029)
3 Multi Echelon Inventory Optimization (MEIO) Market Overview by Application
3.1 Introduction
3.1.1 Consumer Goods
3.1.2 Food and Beverages
3.1.3 Chemical
3.1.4 Retail
3.1.5 Manufacturing
3.1.6 Others
3.2 Global Multi Echelon Inventory Optimization (MEIO) Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Multi Echelon Inventory Optimization (MEIO) Historic Market Size by Application (2018-2023)
3.2.2 Global Multi Echelon Inventory Optimization (MEIO) Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Multi Echelon Inventory Optimization (MEIO) Revenue Breakdown by Application (2018-2029)
4 Multi Echelon Inventory Optimization (MEIO) Competition Analysis by Players
4.1 Global Multi Echelon Inventory Optimization (MEIO) Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Multi Echelon Inventory Optimization (MEIO) as of 2022)
4.3 Date of Key Players Enter into Multi Echelon Inventory Optimization (MEIO) Market
4.4 Global Top Players Multi Echelon Inventory Optimization (MEIO) Headquarters and Area Served
4.5 Key Players Multi Echelon Inventory Optimization (MEIO) Product Solution and Service
4.6 Competitive Status
4.6.1 Multi Echelon Inventory Optimization (MEIO) Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 ToolsGroup
5.1.1 ToolsGroup Profile
5.1.2 ToolsGroup Main Business
5.1.3 ToolsGroup Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.1.4 ToolsGroup Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.1.5 ToolsGroup Recent Developments
5.2 Logility,Inc
5.2.1 Logility,Inc Profile
5.2.2 Logility,Inc Main Business
5.2.3 Logility,Inc Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.2.4 Logility,Inc Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.2.5 Logility,Inc Recent Developments
5.3 Manhattan Associates
5.3.1 Manhattan Associates Profile
5.3.2 Manhattan Associates Main Business
5.3.3 Manhattan Associates Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.3.4 Manhattan Associates Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.3.5 Smart Software Recent Developments
5.4 Smart Software
5.4.1 Smart Software Profile
5.4.2 Smart Software Main Business
5.4.3 Smart Software Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.4.4 Smart Software Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.4.5 Smart Software Recent Developments
5.5 Arkieva
5.5.1 Arkieva Profile
5.5.2 Arkieva Main Business
5.5.3 Arkieva Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.5.4 Arkieva Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.5.5 Arkieva Recent Developments
5.6 Kinaxis
5.6.1 Kinaxis Profile
5.6.2 Kinaxis Main Business
5.6.3 Kinaxis Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.6.4 Kinaxis Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.6.5 Kinaxis Recent Developments
5.7 Thrive Technologies
5.7.1 Thrive Technologies Profile
5.7.2 Thrive Technologies Main Business
5.7.3 Thrive Technologies Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.7.4 Thrive Technologies Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.7.5 Thrive Technologies Recent Developments
5.8 Logic Tools Inc
5.8.1 Logic Tools Inc Profile
5.8.2 Logic Tools Inc Main Business
5.8.3 Logic Tools Inc Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.8.4 Logic Tools Inc Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.8.5 Logic Tools Inc Recent Developments
5.9 E2open
5.9.1 E2open Profile
5.9.2 E2open Main Business
5.9.3 E2open Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.9.4 E2open Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.9.5 E2open Recent Developments
5.10 LLamasoft Inc
5.10.1 LLamasoft Inc Profile
5.10.2 LLamasoft Inc Main Business
5.10.3 LLamasoft Inc Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.10.4 LLamasoft Inc Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.10.5 LLamasoft Inc Recent Developments
5.11 One Network
5.11.1 One Network Profile
5.11.2 One Network Main Business
5.11.3 One Network Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.11.4 One Network Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.11.5 One Network Recent Developments
5.12 Blue Yonder
5.12.1 Blue Yonder Profile
5.12.2 Blue Yonder Main Business
5.12.3 Blue Yonder Multi Echelon Inventory Optimization (MEIO) Products, Services and Solutions
5.12.4 Blue Yonder Multi Echelon Inventory Optimization (MEIO) Revenue (US$ Million) & (2018-2023)
5.12.5 Blue Yonder Recent Developments
6 North America
6.1 North America Multi Echelon Inventory Optimization (MEIO) Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Multi Echelon Inventory Optimization (MEIO) Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Multi Echelon Inventory Optimization (MEIO) Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Multi Echelon Inventory Optimization (MEIO) Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Multi Echelon Inventory Optimization (MEIO) Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Multi Echelon Inventory Optimization (MEIO) Market Dynamics
11.1 Multi Echelon Inventory Optimization (MEIO) Industry Trends
11.2 Multi Echelon Inventory Optimization (MEIO) Market Drivers
11.3 Multi Echelon Inventory Optimization (MEIO) Market Challenges
11.4 Multi Echelon Inventory Optimization (MEIO) Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List

Published By : QY Research

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