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市场调查报告书
商品编码
1700184

2032 年物流规划软体市场预测：按部署类型、最佳化、组织规模、技术、应用、最终用户和地区进行的全球分析

Distribution Planning Software Market Forecasts to 2032 - Global Analysis By Deployment Type (Cloud-Based, On-Premise and Other Deployment Types), Optimization, Organization Size, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球物流规划软体市场预计在 2025 年达到 32 亿美元，到 2032 年将达到 67 亿美元，预测期内的复合年增长率为 11.2%。

物流规划软体是一种数位解决方案，透过管理从生产者到消费者的货物流动来提高供应链效率。我们提供需求预测、路线优化、库存管理和即时追踪等工具，以确保经济高效且及时的配送。对于农业，尤其是蔬菜等生鲜产品，它有助于消除浪费、降低运输成本并确保快速交付。透过促进农民、经销商和零售商之间更好的合作，该软体提高了透明度，减少了环境影响，并确保更新鲜的农产品到达消费者手中。

根据 Zebra Technologies 的一项调查，87% 的工业决策者正在扩大或计划在 2024 年扩大他们的仓库。

对供应链效率的需求不断增加

全球供应链日益复杂，增加了对高效率物流规划软体的需求。公司优先考虑简化物流、降低营运成本和改善交货时间表的工具。随着企业努力满足消费者对快速可靠交付的期望，电子商务和全通路零售的兴起进一步扩大了这种需求。此外，人工智慧和物联网等先进技术的融合将增强软体优化路线和有效管理库存的能力。对供应链效率的日益关注是采用交付规划软体的关键驱动因素。

整合复杂性

实施物流规划软体的主要挑战之一是将其与现有系统整合的复杂性。许多企业在将新软体与旧有系统整合时遇到困难，导致业务中断。缺乏技术专业知识和员工抵制变革进一步使采用过程变得复杂。此外，客製化和培训的高成本可能会对中小型企业造成阻碍。这些整合挑战是广泛采用物流规划软体的主要障碍。

针对利基行业进行客製化

在农业、製药和零售等利基行业，对客製化解决方案的需求提供了巨大的成长机会。客製化的物流规划软体可以解决特定的挑战，例如管理生鲜产品或满足严格的规定。提供特定于行业的功能使软体供应商能够脱颖而出并占领尚未开发的市场。这些领域的数位转型趋势正在推动对专业解决方案的进一步需求。我们对客製化的关注为创新和市场扩张开闢了新的途径。

与开放原始码解决方案的竞争

开放原始码分销计划软体的可用性对商业提供者构成了威胁。这些免费或低成本的替代品对注重成本的企业，尤其是中小型企业很有吸引力。开放原始码解决方案通常缺乏高级功能，但足以满足基本需求，从而减少了对高阶软体的需求。此外，社群对开放原始码工具的支援不断增加，这将随着时间的推移增强其功能。这些竞争压力迫使商业供应商不断创新并证明其价值提案。

COVID-19的影响：

由于企业寻求减轻其供应链中断的影响，COVID-19 疫情加速了物流规划软体的采用。电子商务的激增和非接触式交付的需求推动了对高效物流解决方案的需求。但疫情也暴露了全球供应链的脆弱性，促使企业投资风险管理工具。虽然最初的景气衰退减缓了投资，但长期影响是正面的，人们更加关注数位转型。

预计云端基础细分市场将成为预测期内最大的细分市场

由于其扩充性、灵活性和成本效益，预计云端基础的部分将在预测期内占据最大的市场占有率。企业更喜欢可以提供即时资料存取和无缝更新的云端解决方案。此外，软体即服务 (SaaS) 模式的日益普及也推动了云端基础的物流规划软体的需求。此外，云端平台支援远端协作，使其成为分散式团队的理想选择。这些优势使云端基础领域成为市场成长的最大贡献者。

预计预测期内多配电变电站部分将以最高的复合年增长率成长。

由于供应链日益复杂，预计预测期内多配电变电站部分将出现最高成长率。拥有多个物流地点的公司需要先进的软体来有效管理库存和优化路线。全通路零售和全球贸易的兴起进一步扩大了这种需求。此外，人工智慧和物联网的融合将提高软体处理复杂物流网路的能力。该领域的快速成长反映了现代供应链对复杂解决方案的需求。

比最大的地区

在预测期内，由于工业化和都市化的快速发展，亚太地区预计将占据最大的市场占有率。中国、印度和日本等国家正大力投资物流基础设施和数位转型。电子商务领域的成长和消费者对快速交付日益增长的需求进一步推动了物流规划软体的采用。政府推动智慧城市和永续物流的措施也促进了市场成长。

复合年增长率最高的地区：

预计北美地区在预测期内将呈现最高的复合年增长率。这是因为该地区拥有先进的技术基础设施和高度自动化的采用。大型物流和电子商务公司的存在推动了对高效物流规划解决方案的需求。此外，严格的法规和对永续性的关注正在推动公司采用先进的软体。智慧製造和物联网整合的成长趋势进一步推动了市场成长。

提供免费客製化：

订阅此报告的客户将获得以下免费自订选项之一：

  • 公司简介
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 地理细分
    • 根据客户兴趣对主要国家市场进行估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第五章。全球物流规划软体市场按部署类型

  • 云端基础
  • 本地
  • 其他部署类型

6. 按最佳化分類的全球物流规划软体市场

  • 单配电变电站
  • 多个配电变电站
  • 整个物流网络
  • 其他优化

7. 全球物流规划软体市场（依组织规模）

  • 大型企业
  • 中小型企业
  • 其他组织规模

8. 全球物流规划软体市场（按技术）

  • 人工智慧（AI）和机器学习（ML）
  • 物联网 (IoT)
  • 区块链
  • 巨量资料分析
  • 其他技术

9. 全球物流规划软体市场（按应用）

  • 发电扩张计划
  • 输电扩建计划
  • 分销扩张计划
  • 配电损耗分析
  • 电压和无功功率优化
  • 其他应用

第 10 章全球物流规划软体市场（按最终用户）

  • 电力和公用事业
  • 产业
  • 商业的
  • 政府
  • 其他最终用户

第 11 章全球物流规划软体市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • Descartes Systems Group
  • Llamasoft
  • Flexsim
  • Zetes
  • Kinaxis
  • Infor
  • Blue Yonder
  • JDA Software
  • SAP
  • Manhattan Associates
  • OptTek Systems
  • Logility
  • Oracle
  • Simio LLC
  • Microsoft
  • IBM
Product Code: SMRC29087

According to Stratistics MRC, the Global Distribution Planning Software Market is accounted for $3.2 billion in 2025 and is expected to reach $6.7 billion by 2032 growing at a CAGR of 11.2 % during the forecast period. Distribution Planning Software is a digital solution that enhances supply chain efficiency by managing the flow of goods from producers to consumers. It offers tools such as demand forecasting, route optimization, inventory management, and real-time tracking to ensure cost-effective and timely distribution. For agriculture, especially with perishable items like vegetables, it helps cut waste, lower transportation expenses, and guarantee prompt delivery. By fostering better collaboration among farmers, distributors, and retailers, this software boosts transparency, reduces environmental footprints, and ensures fresher produce reaches consumers.

According to a survey by Zebra Technologies, 87% of industrial decision makers are in the process of or planning to expand their warehouses by 2024.

Market Dynamics:

Driver:

Growing demand for supply chain efficiency

The increasing complexity of global supply chains has heightened the need for efficient distribution planning software. Businesses are prioritizing tools that streamline logistics, reduce operational costs, and improve delivery timelines. The rise of e-commerce and omni channel retailing further amplifies this demand, as companies strive to meet consumer expectations for fast and reliable deliveries. Additionally, the integration of advanced technologies like AI and IoT enhances the software's ability to optimize routes and manage inventory effectively. This growing focus on supply chain efficiency is a key driver for the adoption of distribution planning software.

Restraint:

Complexity of integration

One of the major challenges in adopting distribution planning software is the complexity of integrating it with existing systems. Many businesses face difficulties in merging new software with legacy systems, leading to operational disruptions. The lack of technical expertise and resistance to change among employees further complicates the implementation process. Additionally, the high costs associated with customization and training can deter small and medium-sized enterprises. These integration challenges act as significant restraints in the widespread adoption of distribution planning software.

Opportunity:

Customization for niche industries

The demand for tailored solutions in niche industries like agriculture, pharmaceuticals, and retail presents a significant growth opportunity. Customized distribution planning software can address specific challenges, such as managing perishable goods or complying with stringent regulations. By offering industry-specific features, software providers can differentiate themselves and capture untapped markets. The growing trend of digital transformation in these sectors further fuels the demand for specialized solutions. This focus on customization opens new avenues for innovation and market expansion.

Threat:

Competition from open-source solutions

The availability of open-source distribution planning software poses a threat to commercial providers. These free or low-cost alternatives attract cost-sensitive businesses, particularly small and medium-sized enterprises. Open-source solutions often lack advanced features but are sufficient for basic needs, reducing the demand for premium software. Additionally, the growing community support for open-source tools enhances their functionality over time. This competitive pressure forces commercial providers to continuously innovate and justify their value proposition.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of distribution planning software as businesses sought to mitigate supply chain disruptions. The surge in e-commerce and the need for contactless deliveries drove demand for efficient logistics solutions. However, the pandemic also exposed vulnerabilities in global supply chains, prompting companies to invest in risk management tools. While the initial economic downturn slowed investments, the long-term impact has been positive, with increased focus on digital transformation.

The cloud-based segment is expected to be the largest during the forecast period

The Cloud-Based segment is expected to account for the largest market share during the forecast period due to its scalability, flexibility, and cost-effectiveness. Businesses prefer cloud solutions for their ability to provide real-time data access and seamless updates. The growing adoption of Software-as-a-Service (SaaS) models further drives the demand for cloud-based distribution planning software. Additionally, cloud platforms enable remote collaboration, making them ideal for distributed teams. These advantages position the cloud-based segment as the largest contributor to market growth.

The multiple distribution substations segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Multiple Distribution Substations segment is predicted to witness the highest growth rate due to the increasing complexity of supply chains. Businesses with multiple distribution points require advanced software to manage inventory and optimize routes efficiently. The rise of omnichannel retailing and global trade further amplifies this demand. Additionally, the integration of AI and IoT enhances the software's ability to handle complex logistics networks. This segment's rapid growth reflects the need for sophisticated solutions in modern supply chains.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rapid industrialization and urbanization. Countries like China, India, and Japan are investing heavily in logistics infrastructure and digital transformation. The growing e-commerce sector and increasing consumer demand for fast deliveries further boost the adoption of distribution planning software. Government initiatives promoting smart cities and sustainable logistics also contribute to market growth.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by the region's advanced technological infrastructure and high adoption of automation. The presence of major logistics and e-commerce players fuels the demand for efficient distribution planning solutions. Additionally, stringent regulations and the focus on sustainability encourage businesses to adopt advanced software. The growing trend of smart manufacturing and IoT integration further supports market growth.

Key players in the market

Some of the key players in Distribution Planning Software Market include Descartes Systems Group, Llamasoft, Flexsim, Zetes, Kinaxis, Infor, Blue Yonder, JDA Software, SAP, Manhattan Associates, OptTek Systems, Logility , Oracle, Simio LLC, Microsoft and IBM.

Key Developments:

In March 2024, GE Digital launched an advanced version of its Grid Solutions Software Suite, which includes enhanced distribution planning capabilities. The new features leverage AI and machine learning to optimize grid operations, improve load forecasting, and integrate renewable energy sources more efficiently. This update is aimed at helping utilities better manage the increasing complexity of modern power grids.

In February 2024, Electric introduced its EcoStruxure Microgrid Advisor 8.0, a distribution planning and energy management solution designed to optimize energy distribution in real-time. The software now includes predictive analytics and automated decision-making tools to support utilities and businesses in achieving energy efficiency and sustainability goals.

In January 2024, Siemens announced the release of its Spectrum Power(TM) 7.2 Distribution Management System (DMS), which incorporates advanced grid modeling and simulation tools. The software is designed to support utilities in planning and managing distributed energy resources (DERs) and electric vehicle (EV) charging infrastructure, addressing the growing demand for smarter and more resilient distribution networks.

Deployment Types Covered:

  • Cloud-Based
  • On-Premise
  • Other Deployment Types

Optimizations Covered:

  • Single Distribution Substation
  • Multiple Distribution Substations
  • Entire Distribution Network
  • Other Optimizations

Organization Sizes Covered:

  • Large Enterprises
  • Small and Medium Enterprises
  • Other Organization Sizes

Technologies Covered:

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Internet of Things (IoT)
  • Blockchain
  • Big Data Analytics
  • Other Technologies

Applications Covered:

  • Generation Expansion Planning
  • Transmission Expansion Planning
  • Distribution Expansion Planning
  • Distribution Loss Analysis
  • Voltage and VAR Optimization
  • Other Applications

End Users Covered:

  • Power and Utility
  • Industrial
  • Commercial
  • Government
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Distribution Planning Software Market, By Deployment Type

  • 5.1 Introduction
  • 5.2 Cloud-Based
  • 5.3 On-Premise
  • 5.4 Other Deployment Types

6 Global Distribution Planning Software Market, By Optimization

  • 6.1 Introduction
  • 6.2 Single Distribution Substation
  • 6.3 Multiple Distribution Substations
  • 6.4 Entire Distribution Network
  • 6.5 Other Optimizations

7 Global Distribution Planning Software Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Large Enterprises
  • 7.3 Small and Medium Enterprises
  • 7.4 Other Organization Sizes

8 Global Distribution Planning Software Market, By Technology

  • 8.1 Introduction
  • 8.2 Artificial Intelligence (AI) and Machine Learning (ML)
  • 8.3 Internet of Things (IoT)
  • 8.4 Blockchain
  • 8.5 Big Data Analytics
  • 8.6 Other Technologies

9 Global Distribution Planning Software Market, By Application

  • 9.1 Introduction
  • 9.2 Generation Expansion Planning
  • 9.3 Transmission Expansion Planning
  • 9.4 Distribution Expansion Planning
  • 9.5 Distribution Loss Analysis
  • 9.6 Voltage and VAR Optimization
  • 9.7 Other Applications

10 Global Distribution Planning Software Market, By End User

  • 10.1 Introduction
  • 10.2 Power and Utility
  • 10.3 Industrial
  • 10.4 Commercial
  • 10.5 Government
  • 10.6 Other End Users

11 Global Distribution Planning Software Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Descartes Systems Group
  • 13.2 Llamasoft
  • 13.3 Flexsim
  • 13.4 Zetes
  • 13.5 Kinaxis
  • 13.6 Infor
  • 13.7 Blue Yonder
  • 13.8 JDA Software
  • 13.9 SAP
  • 13.10 Manhattan Associates
  • 13.11 OptTek Systems
  • 13.12 Logility
  • 13.13 Oracle
  • 13.14 Simio LLC
  • 13.15 Microsoft
  • 13.16 IBM

List of Tables

  • Table 1 Global Distribution Planning Software Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Distribution Planning Software Market Outlook, By Deployment Type (2024-2032) ($MN)
  • Table 3 Global Distribution Planning Software Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 4 Global Distribution Planning Software Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 5 Global Distribution Planning Software Market Outlook, By Other Deployment Types (2024-2032) ($MN)
  • Table 6 Global Distribution Planning Software Market Outlook, By Optimization (2024-2032) ($MN)
  • Table 7 Global Distribution Planning Software Market Outlook, By Single Distribution Substation (2024-2032) ($MN)
  • Table 8 Global Distribution Planning Software Market Outlook, By Multiple Distribution Substations (2024-2032) ($MN)
  • Table 9 Global Distribution Planning Software Market Outlook, By Entire Distribution Network (2024-2032) ($MN)
  • Table 10 Global Distribution Planning Software Market Outlook, By Other Optimizations (2024-2032) ($MN)
  • Table 11 Global Distribution Planning Software Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 12 Global Distribution Planning Software Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 13 Global Distribution Planning Software Market Outlook, By Small and Medium Enterprises (2024-2032) ($MN)
  • Table 14 Global Distribution Planning Software Market Outlook, By Other Organization Sizes (2024-2032) ($MN)
  • Table 15 Global Distribution Planning Software Market Outlook, By Technology (2024-2032) ($MN)
  • Table 16 Global Distribution Planning Software Market Outlook, By Artificial Intelligence (AI) and Machine Learning (ML) (2024-2032) ($MN)
  • Table 17 Global Distribution Planning Software Market Outlook, By Internet of Things (IoT) (2024-2032) ($MN)
  • Table 18 Global Distribution Planning Software Market Outlook, By Blockchain (2024-2032) ($MN)
  • Table 19 Global Distribution Planning Software Market Outlook, By Big Data Analytics (2024-2032) ($MN)
  • Table 20 Global Distribution Planning Software Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 21 Global Distribution Planning Software Market Outlook, By Application (2024-2032) ($MN)
  • Table 22 Global Distribution Planning Software Market Outlook, By Generation Expansion Planning (2024-2032) ($MN)
  • Table 23 Global Distribution Planning Software Market Outlook, By Transmission Expansion Planning (2024-2032) ($MN)
  • Table 24 Global Distribution Planning Software Market Outlook, By Distribution Expansion Planning (2024-2032) ($MN)
  • Table 25 Global Distribution Planning Software Market Outlook, By Distribution Loss Analysis (2024-2032) ($MN)
  • Table 26 Global Distribution Planning Software Market Outlook, By Voltage and VAR Optimization (2024-2032) ($MN)
  • Table 27 Global Distribution Planning Software Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 28 Global Distribution Planning Software Market Outlook, By End User (2024-2032) ($MN)
  • Table 29 Global Distribution Planning Software Market Outlook, By Power and Utility (2024-2032) ($MN)
  • Table 30 Global Distribution Planning Software Market Outlook, By Industrial (2024-2032) ($MN)
  • Table 31 Global Distribution Planning Software Market Outlook, By Commercial (2024-2032) ($MN)
  • Table 32 Global Distribution Planning Software Market Outlook, By Government (2024-2032) ($MN)
  • Table 33 Global Distribution Planning Software Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.