로봇형 플렉서블 부품 공급 시스템 시장 규모 : 컴포넌트별, 용도별, 최종 용도별, 예측(2024-2032년)

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