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市場調查報告書
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1473806

機器人軟性零件進給系統市場規模 - 按組件、按應用、按最終用途和預測,2024 年 - 2032 年

Robotic Flexible Part Feeding Systems Market Size - By Component, By Application, By End Use & Forecast, 2024 - 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 265 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在汽車、電子和製造業等各行業自動化率不斷提高的推動下,機器人軟性零件送料系統市場規模預計在 2024 年至 2032 年間複合年成長率為 5%。這些系統在處理各種零件方面提供了多功能性和效率,有助於提高生產過程中的生產率和成本效益。機器人技術的不斷進步,例如視覺引導機器人系統和協作機器人(cobot)也使得靈活的零件供應解決方案能夠無縫整合到現有的製造環境中。例如,2023年5月,ANUC America推出了兩款新型高負載能力協作機器人,並在Automate上展示了廣泛的先進自動化解決方案。

此外,嚴格品質標準的湧入日益強調製造過程中的精度和準確度。機器人軟性零件供給系統還提供零件的精確定位和對準,以最大限度地減少生產和組裝作業中的錯誤和缺陷。製造業勞動力成本上升和技術工人短缺正在刺激自動化解決方案的採用。此外,對工作場所安全和人體工學的日益關注,透過提高工人的安全和福祉,推動機器人系統用於重複性和體力要求較高的任務。

機器人軟性零件供給系統產業分為組件、應用、最終用途和區域。

按應用分類,預計到 2032 年,物料搬運領域的市場佔有率將大幅成長。機器人靈活零件進給系統在處理各種類型的零件方面提供了多功能性和適應性,從而能夠無縫整合到物料處理工作流程中。此外,這些系統還透過簡化零件傳輸和交付流程、縮短週期時間並提高整體生產率來提高營運效率。

就最終用途而言,在嚴格的法規和品質標準的支持下,製藥領域的機器人軟性零件供應系統市場將在2024 年至2032 年期間實現顯著成長,這些法規和品質標準需要精確且無錯誤的製造程序。隨著製藥公司擴大採用先進製造技術來提高生產量並確保產品一致性,在提高藥品製造過程中的營運效率、品質控制和法規遵從性的能力的推動下,對機器人軟性零件供給系統的需求預計將繼續成長。

由於汽車、航空航太、電子和醫療保健等不同產業擁有強大的製造基礎,北美機器人軟性零件送料系統產業規模預計將在 2024 年至 2032 年期間大幅成長。此外,機器人和自動化領域的技術進步和持續的研發工作有助於提供適合特定需求的創新且具成本效益的解決方案,進一步刺激區域產業的成長。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商格局
    • 零件供應商
    • 製造商
    • 技術提供者
    • 系統整合商
    • 配銷通路
    • 終端用戶
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 工業 4.0 的採用率不斷提高
      • 瑞思自動化解決方案具有靈活性和適應性
      • 勞動成本上升和勞動短缺
      • 機器人、人工智慧和機器學習領域的持續技術進步
    • 產業陷阱與挑戰
      • 初始投資成本高
      • 複雜的整合挑戰
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按組成部分,2018-2032 年

  • 主要趨勢
  • 零件進給機構
  • 視覺系統
  • 夾具和末端執行器
  • 軟體和程式設計

第 6 章:市場估計與預測:依應用分類,2018-2032

  • 主要趨勢
  • 集會
  • 物料搬運
  • 檢驗和品質控制
  • 包裝
  • 焊接和連接

第 7 章:市場估計與預測:依最終用途,2018-2032 年

  • 主要趨勢
  • 汽車
  • 電子產品
  • 航太
  • 食品與飲料
  • 藥品

第 8 章:市場估計與預測:按地區,2018-2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 北歐人
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 東南亞
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地區
  • MEA
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • MEA 的其餘部分

第 9 章:公司簡介

  • ABB Ltd.
  • Bosch Rexroth AG
  • Cognex Corporation
  • Comau S.p.A.
  • DENSO Corporation
  • Epson Robots
  • FANUC Corporation
  • Festo AG & Co. KG
  • Kawasaki Heavy Industries, Ltd.
  • KUKA AG
  • Mitsubishi Electric Corporation
  • Nachi-Fujikoshi Corp.
  • Omron Corporation
  • Rockwell Automation, Inc.
  • Schunk GmbH & Co. KG
  • SMC Corporation
  • Staubli International AG
  • Universal Robots
  • Yamaha Motor Co., Ltd.
  • Yaskawa Electric Corporation
簡介目錄
Product Code: 8282

Robotic Flexible Part Feeding Systems Market size is estimated to register 5% CAGR between 2024 and 2032, driven by increasing rate of automation across various industries, including automotive, electronics, and manufacturing. These systems offer versatility and efficiency in handling a wide range of parts, contributing to enhanced productivity and cost-effectiveness in production processes. Rising advancements in robotics technology, such as vision-guided robotic systems and collaborative robots (cobots) are also enabling seamless integration of flexible part feeding solutions into existing manufacturing environments. For example, in May 2023, ANUC America, introduced two new high-payload capacity collaborative robots and demonstrated a wide range of advanced automation solutions at Automate.

Furthermore, the influx of stringent quality standards is increasing the emphasis on precision and accuracy in manufacturing processes. Robotic flexible part feeding systems also offer precise positioning and alignment of parts for minimizing errors and defects in production and assembly operations. The rising labor costs and shortage of skilled workers in manufacturing industries is incentivizing the adoption of automation solutions. Moreover, the growing focus on workplace safety and ergonomics is driving the utilization of robotic systems for repetitive and physically demanding tasks by enhancing worker safety and well-being.

The robotic flexible part feeding systems industry is segmented into component, application, end-use and region.

By application, the market share from the material handling segment is predicted to witness substantial growth through 2032. This is due to the rising essentiality of efficient material handling for optimizing production processes and minimizing downtime in manufacturing operations. Robotic flexible part feeding systems offer versatility and adaptability in handling various types of parts, enabling seamless integration into material handling workflows. Moreover, these systems also improve operational efficiency by streamlining part transfer and delivery processes, reducing cycle times, and enhancing overall productivity.

In terms of end-use, the robotic flexible part feeding systems market from the pharmaceutical segment will record notable growth during 2024-2032, backed by stringent regulations and quality standards that necessitate precise and error-free manufacturing processes. As pharmaceutical companies increasingly adopt advanced manufacturing technologies to improve production throughput and ensure product consistency, the demand for robotic flexible part feeding systems is expected to continue growing, driven by their ability to enhance operational efficiency, quality control, and regulatory compliance in pharmaceutical manufacturing processes.

North America robotic flexible part feeding systems industry size is anticipated to grow at a significant pace over 2024-2032, attributed to the strong manufacturing base across diverse industries like automotive, aerospace, electronics, and healthcare. Moreover, technological advancements and the ongoing R&D efforts in robotics & automation are contributing to the availability of innovative and cost-effective solutions tailored to the specific needs, further stimulating the regional industry growth.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definitions
  • 1.2 Base estimates & calculations
  • 1.3 Forecast calculations
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360 degree synopsis, 2018-2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Component suppliers
    • 3.2.2 Manufacturers
    • 3.2.3 Technology providers
    • 3.2.4 System integrators
    • 3.2.5 Distribution channel
    • 3.2.6 End users
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news & initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Increasing adoption of Industry 4.0
      • 3.8.1.2 Rising automation solution for flexibility and adaptability
      • 3.8.1.3 Rising labor costs and labor shortages
      • 3.8.1.4 Ongoing technological advancements in robotics, artificial intelligence, and machine learning
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 High initial investment costs
      • 3.8.2.2 Complex integration challenges
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
    • 3.10.1 Supplier power
    • 3.10.2 Buyer power
    • 3.10.3 Threat of new entrants
    • 3.10.4 Threat of substitutes
    • 3.10.5 Industry rivalry
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2018-2032 ($Mn, Units)

  • 5.1 Key trends
  • 5.2 Part feeding mechanisms
  • 5.3 Vision systems
  • 5.4 Grippers & end effectors
  • 5.5 Software & programming

Chapter 6 Market Estimates & Forecast, By Application, 2018-2032 ($Mn, Units)

  • 6.1 Key trends
  • 6.2 Assembly
  • 6.3 Material handling
  • 6.4 Inspection & quality control
  • 6.5 Packaging
  • 6.6 Welding & joining

Chapter 7 Market Estimates & Forecast, By End Use, 2018-2032 ($Mn, Units)

  • 7.1 Key trends
  • 7.2 Automotive
  • 7.3 Electronics
  • 7.4 Aerospace
  • 7.5 Food & beverage
  • 7.6 Pharmaceuticals

Chapter 8 Market Estimates & Forecast, By Region, 2018-2032 ($Mn, Units)

  • 8.1 Key trends
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
  • 8.3 Europe
    • 8.3.1 UK
    • 8.3.2 Germany
    • 8.3.3 France
    • 8.3.4 Italy
    • 8.3.5 Spain
    • 8.3.6 Nordics
    • 8.3.7 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 India
    • 8.4.3 Japan
    • 8.4.4 Australia
    • 8.4.5 South Korea
    • 8.4.6 Southeast Asia
    • 8.4.7 Rest of Asia Pacific
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Mexico
    • 8.5.3 Argentina
    • 8.5.4 Rest of Latin America
  • 8.6 MEA
    • 8.6.1 South Africa
    • 8.6.2 Saudi Arabia
    • 8.6.3 UAE
    • 8.6.4 Rest of MEA

Chapter 9 Company Profiles

  • 9.1 ABB Ltd.
  • 9.2 Bosch Rexroth AG
  • 9.3 Cognex Corporation
  • 9.4 Comau S.p.A.
  • 9.5 DENSO Corporation
  • 9.6 Epson Robots
  • 9.7 FANUC Corporation
  • 9.8 Festo AG & Co. KG
  • 9.9 Kawasaki Heavy Industries, Ltd.
  • 9.10 KUKA AG
  • 9.11 Mitsubishi Electric Corporation
  • 9.12 Nachi-Fujikoshi Corp.
  • 9.13 Omron Corporation
  • 9.14 Rockwell Automation, Inc.
  • 9.15 Schunk GmbH & Co. KG
  • 9.16 SMC Corporation
  • 9.17 Staubli International AG
  • 9.18 Universal Robots
  • 9.19 Yamaha Motor Co., Ltd.
  • 9.20 Yaskawa Electric Corporation