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市場調查報告書
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2106348

智慧輸送機自動化市場預測至2034年－按輸送機類型、組件、自動化程度、應用、最終用戶和地區分類的全球分析

Intelligent Conveyor Automation Market Forecasts to 2034 - Global Analysis By Conveyor Type, Component, Automation Level, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球智慧輸送自動化市場規模將達到 36 億美元，並在預測期內以 10.9% 的複合年成長率成長，到 2034 年將達到 67 億美元。

智慧輸送自動化是指將自動化技術、感測器、人工智慧、控制軟體和即時數據處理相結合的先進輸送系統，可在工業和物流環境中實現物料輸送和運輸。這些系統能夠根據運作條件和生產需求來最佳化貨物的移動、路徑規劃、分類和協調。智慧輸送自動化可提高系統回應速度、運作視覺性、流程同步性和工作效率，同時支援與更廣泛的製造、倉儲和配送業務無縫整合。

電子商務履約壓力

隨著電子商務訂單激增，消費者對快速且準確配送的期望也日益提高，全球物流和配送網路的訂單履約前置作業時間正在縮短，這推動了對智慧輸送機自動化技術的強勁需求。現代物流中心每天必須處理數百萬件商品，這些商品需要經過複雜的分類、路線規劃和包裝流程。這就要求智慧輸送機系統能夠做出動態決策，並且即時適應不斷變化的訂單情況。為了兌現當日達和隔天達的承諾，能夠自動優先處理緊急貨件、最佳化路線並平衡多個處理站工作負載而無需人工干預的輸送機系統至關重要。

整合複雜性所帶來的障礙

智慧輸送機自動化市場面臨著巨大的普及障礙，這主要是由於將智慧輸送系統與各種倉庫物料輸送系統、企業資源計劃 (ERP) 平台、機器人揀選站以及現有物料搬運基礎設施整合所涉及的技術複雜性，而這些基礎設施通常採用不相容的資料格式和通訊協定。每個物流中心都有其獨特的設施佈局、產品特性和營運流程，這需要對輸送機控制演算法、感測器配置和整合中間件進行大量的客製化。

利用人工智慧最佳化工作流程

將先進的人工智慧 (AI) 和機器學習技術與智慧輸送機自動化相結合，為預測性流程最佳化、自主交通管理和節能營運創造了變革性的機會。這將顯著提高物料輸送效率，遠遠超越傳統的基於可程式邏輯控制器 (PLC) 的控制策略。 AI 驅動的輸送機管理系統能夠分析歷史流量模式、即時訂單數據和設備狀態信息，從而預測瓶頸的出現，並動態調整輸送機速度、路徑和工作站分配，以維持最佳系統性能。

與自主移動機器人的競爭

智慧輸送機自動化市場面臨來自自主移動機器人和其他軟性物料輸送技術的競爭威脅。這些技術能夠更好地適應設施佈局的變化、季節性需求波動以及由多棟建築組成的物流中心，而固定輸送機基礎設施無法在這些環境中提供最佳覆蓋。自主移動機器人無需固定輸送機路線即可在設施內的任兩點之間動態運輸物料，從而能夠根據不斷變化的營運需求快速重新配置物料流。

新型冠狀病毒（COVID-19）的影響：

新冠疫情初期，由於製造工廠和物流中心的暫時關閉、資金和預算限制，以及供應鏈中斷導致輸送機系統安裝所需組件交付延遲，智慧輸送機自動化技術的應用受到阻礙。然而，這場危機大大加速了電子商務的普及，並暴露了依賴人工的物料搬運作業的脆弱性，從而催生了對自動化輸送機系統的物料輸送，以確保即使在勞動力短缺的情況下也能維持業務連續性。疫情後，人手不足和工資上漲使得智慧輸送機自動化技術在以往依賴人工分類和搬運的物流運作中更具經濟吸引力。

在預測期內，傳送帶輸送機市場預計將佔據最大的市場佔有率。

由於皮帶輸送機系統在製造和配送環境中能夠以水平、傾斜和下坡路徑輸送各種類型的產品，因此預計在預測期內，皮帶輸送機細分市場將佔據最大的市場佔有率。皮帶輸送輸送機採用模組化皮帶設計，可透過客製化擋板、側壁和特殊表面紋理來滿足特定的物料輸送需求，從而適應各種尺寸、形狀和重量的產品。

預計在預測期內，人工智慧驅動的自動化領域將呈現最高的複合年成長率。

在預測期內，人工智慧驅動的自動化領域預計將呈現最高的成長率，這主要得益於人工智慧的變革性潛力，它能夠透過預測性維護、自主交通最佳化和智慧決策來提升輸送系統的性能，超越傳統基於可程式邏輯控制器 (PLC) 的控制策略。人工智慧驅動的輸送系統利用機器學習演算法分析來自振動、溫度和聲波感測器的數據，從而實現預測性維護，防止意外停機並延長設備的運作。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於美國和加拿大廣泛的電子商務和物流基礎設施、高昂的人事費用以及自動化技術的積極應用。美國擁有全球最集中的自動化物流中心，服務於各大零售商、電商平台和第三方物流供應商，這些都推動了對智慧傳輸系統的需求。北美的物流業者正優先考慮透過輸送自動化來最佳化處理能力並降低人事費用，從而在高速的履約環境中最大限度地提高物料輸送效率。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於中國、日本、印度和東南亞地區電子商務的快速發展、大規模物流基礎設施建設以及政府主導的製造業現代化項目。中國領先的電商企業正在部署全球自動化履約中心，這些中心需要智慧輸送系統來實現每日數百萬件商品的處理能力，並承諾當日送達。在日本的先進製造業和精密物流領域，也需要先進的輸送機自動化系統來處理多品種、高品質的生產和配送作業。

免費客製化服務：

所有購買此報告的客戶均可選擇以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
  • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球智慧輸送機自動化市場：依輸送機類型分類

  • 皮帶輸送機
  • 滾筒輸送機
  • 高架輸送機
  • 鍊式輸送機
  • 模組化輸送機
  • 垂直輸送機
  • 其他類型的輸送機

第6章 全球智慧輸送自動化市場：依組件分類

  • 硬體
  • 軟體
  • 服務

第7章 全球智慧輸送機自動化市場：依自動化程度分類

  • 半自動
  • 全自動
  • 人工智慧驅動的自動化
  • 物聯網連接的自動化

第8章 全球智慧輸送自動化市場：依應用分類

  • 物料輸送
  • 排序
  • 訂單處理
  • 包裝
  • 托盤堆疊
  • 組裝自動化
  • 物流營運

第9章 全球智慧輸送自動化市場：依最終用戶分類

  • 倉庫
  • 物流中心
  • 製造工廠
  • 機場營運商
  • 物流服務供應商

第10章 全球智慧輸送自動化市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Daifuku Co., Ltd.
  • Dematic Corporation
  • SSI SCHAEFER Group
  • Swisslog Holding AG
  • Honeywell International Inc.
  • Vanderlande Industries BV
  • Murata Machinery, Ltd.
  • Interroll Holding AG
  • BEUMER Group GmbH & Co. KG
  • Siemens AG
  • ABB Ltd.
  • FlexLink AB
  • Fives Group
  • Dorner Mfg. Corp.
  • Mecalux, SA
  • Emerson Electric Co.
  • Rockwell Automation, Inc.
Product Code: SMRC38545

According to Stratistics MRC, the Global Intelligent Conveyor Automation Market is accounted for $3.6 billion in 2026 and is expected to reach $6.7 billion by 2034 growing at a CAGR of 10.9% during the forecast period. Intelligent Conveyor Automation refers to advanced conveyor systems that integrate automation technologies, sensors, artificial intelligence, control software, and real-time data processing to enable automated material handling and transportation within industrial and logistics environments. These systems optimize the movement, routing, sorting, and coordination of goods based on operational conditions and production requirements. Intelligent conveyor automation enhances system responsiveness, operational visibility, process synchronization, and workflow efficiency while supporting seamless integration with broader manufacturing, warehousing, and distribution operations.

Market Dynamics:

Driver:

E-commerce fulfillment pressure

Intelligent conveyor automation is experiencing robust demand growth as e-commerce order volumes surge and consumer expectations for rapid, accurate delivery compress fulfillment timelines across global logistics and distribution networks. Modern distribution centers must process millions of individual items daily through complex sortation, routing, and packaging workflows that require intelligent conveyor systems capable of dynamic decision-making and real-time adaptation to changing order profiles. Same-day and next-day delivery commitments necessitate conveyor systems that can automatically prioritize high-urgency shipments, optimize routing paths, and balance workload across multiple processing stations without human intervention.

Restraint:

Integration complexity barriers

The intelligent conveyor automation market faces significant adoption barriers from the technical complexity of integrating intelligent conveyor systems with diverse warehouse management systems, enterprise resource planning platforms, robotic picking stations, and existing material handling infrastructure that operates on incompatible data formats and communication protocols. Each distribution center presents unique facility layouts, product profiles, and operational workflows that require extensive customization of conveyor control algorithms, sensor configurations, and integration middleware.

Opportunity:

AI-driven flow optimization

The integration of advanced artificial intelligence and machine learning with intelligent conveyor automation is creating transformative opportunities for predictive flow optimization, autonomous traffic management, and energy-efficient operation that substantially enhance material handling productivity beyond traditional programmable logic controller-based control strategies. AI-powered conveyor management systems can analyze historical throughput patterns, real-time order data, and equipment condition information to predict bottlenecks before they occur and dynamically adjust conveyor speeds, routing decisions, and workstation allocations to maintain optimal system performance.

Threat:

Autonomous mobile robot competition

The intelligent conveyor automation market faces competitive threats from autonomous mobile robots and other flexible material handling technologies that offer superior adaptability for changing facility layouts, seasonal demand fluctuations, and multi-building distribution complexes where fixed conveyor infrastructure cannot provide optimal coverage. Autonomous mobile robots can dynamically transport materials between any two points within a facility without requiring fixed conveyor pathways, enabling rapid reconfiguration of material flows as operational requirements evolve.

Covid-19 Impact:

The COVID-19 pandemic initially disrupted intelligent conveyor automation deployments as manufacturing facilities and distribution centers faced temporary closures, capital budgets were constrained, and supply chain disruptions delayed component deliveries for conveyor system installations. However, the crisis dramatically accelerated e-commerce adoption and exposed vulnerabilities in labor-dependent material handling operations, creating sustained demand for automated conveyor systems that ensure operational continuity during workforce disruptions. Post-pandemic, persistent labor shortages and wage inflation have made intelligent conveyor automation economically compelling for logistics operations that previously relied on manual sortation and transport processes.

The belt conveyors segment is expected to be the largest during the forecast period

The belt conveyors segment is expected to account for the largest market share during the forecast period, due to the versatility, reliability, and cost-effectiveness that belt conveyor systems provide for transporting diverse product types across horizontal, inclined, and declined paths within manufacturing and distribution environments. Belt conveyors accommodate a wide range of product sizes, shapes, and weights through modular belt designs that can be customized with cleats, sidewalls, and specialized surface textures for specific material handling requirements.

The AI-enabled automation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the AI-enabled automation segment is predicted to witness the highest growth rate, driven by the transformative potential of artificial intelligence to enhance conveyor system performance through predictive maintenance, autonomous traffic optimization, and intelligent decision-making that exceeds the capabilities of traditional programmable logic controller-based control strategies. AI-enabled conveyor systems leverage machine learning algorithms to analyze vibration, temperature, and acoustic sensor data for predictive maintenance that prevents unexpected downtime and extends equipment operational life.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to extensive e-commerce and logistics infrastructure, high labor costs, and aggressive automation adoption across the United States and Canada. The United States hosts the world's largest concentration of automated distribution centers serving major retailers, e-commerce platforms, and third-party logistics providers that drive demand for intelligent conveyor systems. North American logistics operators prioritize throughput optimization and labor cost reduction through conveyor automation that maximizes material handling efficiency in high-velocity fulfillment environments.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid e-commerce expansion, massive logistics infrastructure development, and government-led manufacturing modernization programs across China, Japan, India, and Southeast Asia. China's e-commerce giants are deploying world-scale automated fulfillment centers that require intelligent conveyor systems for multi-million item daily throughput and same-day delivery commitments. Japan's advanced manufacturing and precision logistics sectors demand sophisticated conveyor automation for high-mix, high-quality production and distribution operations.

Key players in the market

Some of the key players in Intelligent Conveyor Automation Market include Daifuku Co., Ltd., Dematic Corporation, SSI SCHAEFER Group, Swisslog Holding AG, Honeywell International Inc., Vanderlande Industries B.V., Murata Machinery, Ltd., Interroll Holding AG, BEUMER Group GmbH & Co. KG, Siemens AG, ABB Ltd., FlexLink AB, Fives Group, Dorner Mfg. Corp., Mecalux, S.A., Emerson Electric Co., and Rockwell Automation, Inc..

Key Developments:

In June 2026, Daifuku Co., Ltd. launched an AI-powered intelligent conveyor system with autonomous traffic optimization and predictive maintenance capabilities, achieving thirty percent improvement in sortation throughput while reducing energy consumption by twenty-five percent across pilot distribution centers.

In May 2026, Dematic Corporation introduced a next-generation modular conveyor platform with integrated vision-based product identification and dynamic routing capabilities, enabling flexible material flow reconfiguration without mechanical modification in high-velocity fulfillment operations.

In April 2026, Honeywell International Inc. expanded its intelligent conveyor portfolio with machine learning-driven predictive maintenance modules that analyze motor vibration and temperature data to anticipate component failures and schedule proactive maintenance during low-activity periods.

Conveyor Types Covered:

  • Belt Conveyors
  • Roller Conveyors
  • Overhead Conveyors
  • Chain Conveyors
  • Modular Conveyors
  • Vertical Conveyors
  • Other Conveyor Types

Components Covered:

  • Hardware
  • Software
  • Services

Automation Levels Covered:

  • Semi-Automated
  • Fully Automated
  • AI-Enabled Automation
  • IoT-Connected Automation

Applications Covered:

  • Material Handling
  • Sorting
  • Order Fulfillment
  • Packaging
  • Palletizing
  • Assembly Line Automation
  • Distribution Operations

End Users Covered:

  • Warehouses
  • Distribution Centers
  • Manufacturing Facilities
  • Airport Operators
  • Logistics Service Providers

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Intelligent Conveyor Automation Market, By Conveyor Type

  • 5.1 Belt Conveyors
  • 5.2 Roller Conveyors
  • 5.3 Overhead Conveyors
  • 5.4 Chain Conveyors
  • 5.5 Modular Conveyors
  • 5.6 Vertical Conveyors
  • 5.7 Other Conveyor Types

6 Global Intelligent Conveyor Automation Market, By Component

  • 6.1 Hardware
  • 6.2 Software
  • 6.3 Services

7 Global Intelligent Conveyor Automation Market, By Automation Level

  • 7.1 Semi-Automated
  • 7.2 Fully Automated
  • 7.3 AI-Enabled Automation
  • 7.4 IoT-Connected Automation

8 Global Intelligent Conveyor Automation Market, By Application

  • 8.1 Material Handling
  • 8.2 Sorting
  • 8.3 Order Fulfillment
  • 8.4 Packaging
  • 8.5 Palletizing
  • 8.6 Assembly Line Automation
  • 8.7 Distribution Operations

9 Global Intelligent Conveyor Automation Market, By End User

  • 9.1 Warehouses
  • 9.2 Distribution Centers
  • 9.3 Manufacturing Facilities
  • 9.4 Airport Operators
  • 9.5 Logistics Service Providers

10 Global Intelligent Conveyor Automation Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Daifuku Co., Ltd.
  • 13.2 Dematic Corporation
  • 13.3 SSI SCHAEFER Group
  • 13.4 Swisslog Holding AG
  • 13.5 Honeywell International Inc.
  • 13.6 Vanderlande Industries B.V.
  • 13.7 Murata Machinery, Ltd.
  • 13.8 Interroll Holding AG
  • 13.9 BEUMER Group GmbH & Co. KG
  • 13.10 Siemens AG
  • 13.11 ABB Ltd.
  • 13.12 FlexLink AB
  • 13.13 Fives Group
  • 13.14 Dorner Mfg. Corp.
  • 13.15 Mecalux, S.A.
  • 13.16 Emerson Electric Co.
  • 13.17 Rockwell Automation, Inc.

List of Tables

  • Table 1 Global Intelligent Conveyor Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Intelligent Conveyor Automation Market Outlook, By Conveyor Type (2023-2034) ($MN)
  • Table 3 Global Intelligent Conveyor Automation Market Outlook, By Belt Conveyors (2023-2034) ($MN)
  • Table 4 Global Intelligent Conveyor Automation Market Outlook, By Roller Conveyors (2023-2034) ($MN)
  • Table 5 Global Intelligent Conveyor Automation Market Outlook, By Overhead Conveyors (2023-2034) ($MN)
  • Table 6 Global Intelligent Conveyor Automation Market Outlook, By Chain Conveyors (2023-2034) ($MN)
  • Table 7 Global Intelligent Conveyor Automation Market Outlook, By Modular Conveyors (2023-2034) ($MN)
  • Table 8 Global Intelligent Conveyor Automation Market Outlook, By Vertical Conveyors (2023-2034) ($MN)
  • Table 9 Global Intelligent Conveyor Automation Market Outlook, By Other Conveyor Types (2023-2034) ($MN)
  • Table 10 Global Intelligent Conveyor Automation Market Outlook, By Component (2023-2034) ($MN)
  • Table 11 Global Intelligent Conveyor Automation Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 12 Global Intelligent Conveyor Automation Market Outlook, By Software (2023-2034) ($MN)
  • Table 13 Global Intelligent Conveyor Automation Market Outlook, By Services (2023-2034) ($MN)
  • Table 14 Global Intelligent Conveyor Automation Market Outlook, By Automation Level (2023-2034) ($MN)
  • Table 15 Global Intelligent Conveyor Automation Market Outlook, By Semi-Automated (2023-2034) ($MN)
  • Table 16 Global Intelligent Conveyor Automation Market Outlook, By Fully Automated (2023-2034) ($MN)
  • Table 17 Global Intelligent Conveyor Automation Market Outlook, By AI-Enabled Automation (2023-2034) ($MN)
  • Table 18 Global Intelligent Conveyor Automation Market Outlook, By IoT-Connected Automation (2023-2034) ($MN)
  • Table 19 Global Intelligent Conveyor Automation Market Outlook, By Application (2023-2034) ($MN)
  • Table 20 Global Intelligent Conveyor Automation Market Outlook, By Material Handling (2023-2034) ($MN)
  • Table 21 Global Intelligent Conveyor Automation Market Outlook, By Sorting (2023-2034) ($MN)
  • Table 22 Global Intelligent Conveyor Automation Market Outlook, By Order Fulfillment (2023-2034) ($MN)
  • Table 23 Global Intelligent Conveyor Automation Market Outlook, By Packaging (2023-2034) ($MN)
  • Table 24 Global Intelligent Conveyor Automation Market Outlook, By Palletizing (2023-2034) ($MN)
  • Table 25 Global Intelligent Conveyor Automation Market Outlook, By Assembly Line Automation (2023-2034) ($MN)
  • Table 26 Global Intelligent Conveyor Automation Market Outlook, By Distribution Operations (2023-2034) ($MN)
  • Table 27 Global Intelligent Conveyor Automation Market Outlook, By End User (2023-2034) ($MN)
  • Table 28 Global Intelligent Conveyor Automation Market Outlook, By Warehouses (2023-2034) ($MN)
  • Table 29 Global Intelligent Conveyor Automation Market Outlook, By Distribution Centers (2023-2034) ($MN)
  • Table 30 Global Intelligent Conveyor Automation Market Outlook, By Manufacturing Facilities (2023-2034) ($MN)
  • Table 31 Global Intelligent Conveyor Automation Market Outlook, By Airport Operators (2023-2034) ($MN)
  • Table 32 Global Intelligent Conveyor Automation Market Outlook, By Logistics Service Providers (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.