机器人柔性零件进给系统市场规模 - 按组件、按应用、按最终用途和预测，2024 年 - 2032 年

在汽车、电子和製造业等各行业自动化率不断提高的推动下，机器人柔性零件送料系统市场规模预计在 2024 年至 2032 年间复合年增长率为 5%。这些系统在处理各种零件方面提供了多功能性和效率，有助于提高生产过程中的生产率和成本效益。机器人技术的不断进步，例如视觉引导机器人系统和协作机器人（cobot）也使得灵活的零件供应解决方案能够无缝整合到现有的製造环境中。例如，2023年5月，ANUC America推出了两款新型高负载能力协作机器人，并在Automate上展示了广泛的先进自动化解决方案。

此外，严格品质标准的涌入日益强调製造过程中的精度和准确度。机器人柔性零件供给系统还提供零件的精确定位和对准，以最大限度地减少生产和组装作业中的错误和缺陷。製造业劳动力成本上升和技术工人短缺正在刺激自动化解决方案的采用。此外，对工作场所安全和人体工学的日益关注，透过提高工人的安全和福祉，推动机器人系统用于重复性和体力要求较高的任务。

机器人柔性零件供给系统产业分为组件、应用、最终用途和区域。

按应用划分，预计到 2032 年，物料搬运领域的市场份额将大幅增长。机器人灵活零件进给系统在处理各种类型的零件方面提供了多功能性和适应性，从而能够无缝整合到物料处理工作流程中。此外，这些系统还透过简化零件传输和交付流程、缩短週期时间并提高整体生产率来提高营运效率。

就最终用途而言，在严格的法规和品质标准的支持下，製药领域的机器人柔性零件供应系统市场将在2024 年至2032 年期间实现显着增长，这些法规和品质标准需要精确且无错误的製造工艺。随着製药公司越来越多地采用先进製造技术来提高生产量并确保产品一致性，在提高药品製造过程中的运营效率、品质控制和法规遵从性的能力的推动下，对机器人柔性零件供给系统的需求预计将继续增长。

由于汽车、航空航太、电子和医疗保健等不同产业拥有强大的製造基础，北美机器人柔性零件送料系统产业规模预计将在 2024 年至 2032 年期间大幅成长。此外，机器人和自动化领域的技术进步和持续的研发工作有助于提供适合特定需求的创新且具成本效益的解决方案，进一步刺激区域产业的成长。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 供应商格局
  • 零件供应商
  • 製造商
  • 技术提供者
  • 系统整合商
  • 配销通路
  • 终端用户
• 利润率分析
• 技术与创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 工业 4.0 的采用率不断提高
    • 瑞思自动化解决方案具有灵活性和适应性
    • 劳动成本上升和劳动短缺
    • 机器人、人工智慧和机器学习领域的持续技术进步
  • 产业陷阱与挑战
    • 初始投资成本高
    • 复杂的整合挑战
• 成长潜力分析
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司市占率分析
• 竞争定位矩阵
• 战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2018-2032 年

• 主要趋势
• 零件进给机构
• 视觉系统
• 夹具和末端执行器
• 软体和程式设计

第 6 章：市场估计与预测：依应用分类，2018-2032

• 主要趋势
• 集会
• 物料搬运
• 检验和品质控制
• 包装
• 焊接和连接

第 7 章：市场估计与预测：依最终用途，2018-2032 年

• 主要趋势
• 汽车
• 电子产品
• 航太
• 食品与饮料
• 药品

第 8 章：市场估计与预测：按地区，2018-2032

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 北欧人
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国
  • 东南亚
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
  • 拉丁美洲其他地区
• MEA
  • 南非
  • 沙乌地阿拉伯
  • 阿联酋
  • MEA 的其余部分

第 9 章：公司简介

• 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

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