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1700184

2032 年物流規劃軟體市場預測：按部署類型、最佳化、組織規模、技術、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球物流規劃軟體市場預計在 2025 年達到 32 億美元，到 2032 年將達到 67 億美元，預測期內的複合年成長率為 11.2%。

物流規劃軟體是一種數位解決方案，透過管理從生產者到消費者的貨物流動來提高供應鏈效率。我們提供需求預測、路線最佳化、庫存管理和即時追蹤等工具，以確保經濟高效且及時的配送。對於農業，尤其是蔬菜等生鮮產品，它有助於消除浪費、降低運輸成本並確保快速交付。透過促進農民、經銷商和零售商之間更好的合作，該軟體提高了透明度，減少了環境影響，並確保更新鮮的農產品到達消費者手中。

根據 Zebra Technologies 的一項調查，87% 的工業決策者正在擴大或計劃在 2024 年擴大他們的倉庫。

對供應鏈效率的需求不斷增加

全球供應鏈日益複雜，增加了對高效率物流規劃軟體的需求。公司優先考慮簡化物流、降低營運成本和改善交貨時間表的工具。隨著企業努力滿足消費者對快速可靠交付的期望，電子商務和全通路零售的興起進一步擴大了這種需求。此外，人工智慧和物聯網等先進技術的融合將增強軟體最佳化路線和有效管理庫存的能力。對供應鏈效率的日益關注是採用交付規劃軟體的關鍵促進因素。

整合複雜性

實施物流規劃軟體的主要挑戰之一是將其與現有系統整合的複雜性。許多企業在將新軟體與舊有系統整合時遇到困難，導致業務中斷。缺乏技術專業知識和員工抵制變革進一步使採用過程變得複雜。此外，客製化和培訓的高成本可能會對中小型企業造成阻礙。這些整合挑戰是廣泛採用物流規劃軟體的主要障礙。

針對利基行業進行客製化

在農業、製藥和零售等利基行業，對客製化解決方案的需求提供了巨大的成長機會。客製化的物流規劃軟體可以解決特定的挑戰，例如管理生鮮產品或滿足嚴格的規定。提供特定於行業的功能使軟體供應商能夠脫穎而出並佔領尚未開發的市場。這些領域的數位轉型趨勢正在推動對專業解決方案的進一步需求。我們對客製化的關注為創新和市場擴張開闢了新的途徑。

與開放原始碼解決方案的競爭

開放原始碼分銷計劃軟體的可用性對商業提供者構成了威脅。這些免費或低成本的替代品對注重成本的企業，尤其是中小型企業很有吸引力。開放原始碼解決方案通常缺乏高級功能，但足以滿足基本需求，從而減少了對高階軟體的需求。此外，社群對開放原始碼工具的支援不斷增加，這將隨著時間的推移增強其功能。這些競爭壓力迫使商業供應商不斷創新並證明其價值提案。

COVID-19的影響：

由於企業尋求減輕其供應鏈中斷的影響，COVID-19 疫情加速了物流規劃軟體的採用。電子商務的激增和非接觸式交付的需求推動了對高效物流解決方案的需求。但疫情也暴露了全球供應鏈的脆弱性，促使企業投資風險管理工具。雖然最初的景氣衰退減緩了投資，但長期影響是正面的，人們更加關注數位轉型。

預計雲端基礎細分市場將成為預測期內最大的細分市場

由於其擴充性、靈活性和成本效益，預計雲端基礎的部分將在預測期內佔據最大的市場佔有率。企業更喜歡可以提供即時資料存取和無縫更新的雲端解決方案。此外，軟體即服務 (SaaS) 模式的日益普及也推動了雲端基礎的物流規劃軟體的需求。此外，雲端平台支援遠端協作，使其成為分散式團隊的理想選擇。這些優勢使雲端基礎領域成為市場成長的最大貢獻者。

預計預測期內多配電變電站部分將以最高的複合年成長率成長。

由於供應鏈日益複雜，預計預測期內多配電變電站部分將出現最高成長率。擁有多個物流地點的公司需要先進的軟體來有效管理庫存和最佳化路線。全通路零售和全球貿易的興起進一步擴大了這種需求。此外，人工智慧和物聯網的融合將提高軟體處理複雜物流網路的能力。該領域的快速成長反映了現代供應鏈對複雜解決方案的需求。

比最大的地區

在預測期內，由於工業化和都市化的快速發展，亞太地區預計將佔據最大的市場佔有率。中國、印度和日本等國家正大力投資物流基礎設施和數位轉型。電子商務領域的成長和消費者對快速交付日益成長的需求進一步推動了物流規劃軟體的採用。政府推動智慧城市和永續物流的措施也促進了市場成長。

複合年成長率最高的地區：

預計北美地區在預測期內將呈現最高的複合年成長率。這是因為該地區擁有先進的技術基礎設施和高度自動化的採用。大型物流和電子商務公司的存在推動了對高效物流規劃解決方案的需求。此外，嚴格的法規和對永續性的關注正在推動公司採用先進的軟體。智慧製造和物聯網整合的成長趨勢進一步推動了市場成長。

提供免費客製化：

訂閱此報告的客戶將獲得以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場公司（最多 3 家公司）進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 地理細分
    • 根據客戶興趣對主要國家市場進行估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章。全球物流規劃軟體市場按部署類型

  • 雲端基礎
  • 本地
  • 其他部署類型

6. 按最佳化分類的全球物流規劃軟體市場

  • 單配電變電站
  • 多個配電變電站
  • 整個物流網路
  • 其他最佳化

7. 全球物流規劃軟體市場（依組織規模）

  • 大型企業
  • 中小型企業
  • 其他組織規模

8. 全球物流規劃軟體市場（按技術）

  • 人工智慧（AI）和機器學習（ML）
  • 物聯網 (IoT)
  • 區塊鏈
  • 巨量資料分析
  • 其他技術

9. 全球物流規劃軟體市場（按應用）

  • 發電擴張計劃
  • 輸電擴建計劃
  • 分銷擴張計劃
  • 配電損耗分析
  • 電壓和無功功率最佳化
  • 其他應用

第 10 章全球物流規劃軟體市場（按最終用戶）

  • 電力和公用事業
  • 產業
  • 商業的
  • 政府
  • 其他最終用戶

第 11 章全球物流規劃軟體市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • 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.