Logistics Robots Market Growth, Size, Share, and Trends Forecast 2024-2032

The global logistics robots market size was valued at USD 6.17 billion in 2021 and is projected to grow from USD 7.11 billion in 2022 to USD 21.01 billion by 2029, exhibiting a CAGR of 16.7% during the forecast period. Asia Pacific dominated the logistics robots market with a market share of 34.19% in 2021.

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Recent Industry developments of logistics robots market:

• FANUC Corporation launched advanced LR-10iA/10 robots. These robots are compact and suitable for companies with limited floor space. These robots fit into machine tools for loading and unloading the parts. The LR-10iA/10 solution helps distribution centers, logistics warehouses, and manufacturers overcome obstacles associated with labor shortages and also reduces operating costs.
• Toyota Industries Corporation launched a global autonomous vehicle software development firm, T-Hive. The new firm T-Hive would provide a control system and industrial logistics robotics solutions, including automated guided forklifts, automated guided vehicles, and autonomous mobile robots. The new firm was established to meet the robots’ growing demands for its customers.
• ABB Ltd. launched collaborative robots named SWIFTI and GoFa cobot, offering high payloads and speeds for logistics and other industries. These cobots can deliver more robust, faster automation in several industries, including healthcare, electronics, consumer goods, logistics, food and beverages, and others.
• Kion Group AG partnered with Fraunhofer IML to develop swarm robots for warehouse management. The partnership made a logistic robots project and developed ‘the LoadRunner’ robot for warehousing. The next generation of autonomous transport vehicles revolutionizes intralogistics solutions with Artificial Intelligence (AI) technology. Swarm robotics simplifies the warehouses—with KION as the exclusive champion of the new technology.
• Toshiba Corporation’s subsidiary firm Toshiba Machine launched collaborative robots. With SCARA duo-arm and humanoid duo-arm cobots, the company expanded its robot line and prepared to do business as Shibaura Machines.

Top Keyplayers of logistics robots market:

• ABB Ltd (Switzerland)
• KUKA AG (Germany)
• Toyota Industries Corporation (Japan)
• Fanuc Corporation (Japan)
• Yaskawa Electric Corporation (Japan)
• Kion Group Ag (Germany)
• Toshiba Corporation (Japan)
• Krones AG (Germany)
• Kawasaki Heavy Industries Ltd. (Japan)
• Omron Corporation (Japan)

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Logistics Robots Market Segmentation

Logistics Robots Market Share, Size & Industry Analysis, By Type (Automated Guided Vehicles, Autonomous Mobile Robots, Robot Arms, Others), By Application (Palletizing & De-palletizing, Pick & Place, Transportation, Others (Shipment & Delivery)), By Industry (E-commerce, Healthcare, Retail, Food & Beverages, Automotive, Others (Consumer Electronics)), and Regional Forecast Between, 2022-2029

Reasons to buy this report:

This report thoroughly examines the competitive dynamics, growth areas, market conditions, and trends in the logistics robots market. It assists businesses in identifying opportunities for growth and development while highlighting potential challenges and risks. Stakeholders are assisted in developing more informed investment and market strategies by the report’s assessment of product portfolios and business segments.

A thorough grasp of the industry dynamics outlined in the report can help develop successful success strategies in the logistics robots market and greatly improve decision-making. All things considered, this report is an excellent source of information for anyone wishing to learn more about this rapidly changing sector.

Key Report Highlights on the Logistics Robots Market:

• Market CAGR for the Forecast Period: Provides insights into the Compound Annual Growth Rate (CAGR) of the Logistics Robots Market from 2024 to 2032.
• Comprehensive Analysis of Growth Drivers: Offers a detailed evaluation of the key factors driving the growth of the Logistics Robots Market during the forecast period.
• Accurate Market Size and Share Estimates: Precise projections on the size and share of the Logistics Robots Market, underscoring its position within the larger market landscape.
• Forecasts on Emerging Trends and Consumer Behavior: Predicts future trends and shifts in consumer behavior relevant to the Logistics Robots Market.
• Regional Growth Analysis: Examines the growth of the Logistics Robots Market across key regions, including North America, Asia-Pacific (APAC), Europe, South America, the Middle East, and Africa.
• Competitive Landscape Overview: Detailed assessment of the competitive environment, offering insights into the key players within the Logistics Robots Market.
• Evaluation of Growth Barriers: Analyzes the challenges that may hinder the expansion of suppliers in the Logistics Robots Market.

Regional Atributes:

• North America (By Type, By Application, By Industry & By Country)
  • U.S. (By Type)
  • Canada (By Type)
• Europe (By Type, By Application, By Industry & By Country)
  • Germany (By Type)
  • U.K. (By Type)
  • France (By Type)
  • Rest of Europe
• Asia Pacific (By Type, By Application, By Industry & By Country)
  • China (By Type)
  • India (By Type)
  • Japan (By Type)
  • Southeast Asia (By Type)
  • Rest of Asia Pacific
• Middle East & Africa (By Type, By Application, By Industry & By Country)
  • South Africa (By Type)
  • GCC (By Type)
  • Rest of Middle East & Africa
• Latin America (By Type, By Application, By Industry & By Country)
  • Brazil (By Type)
  • Mexico (By Type)
  • Rest of Latin America

Table of Contents:

• Introduction
  • Research Scope
  • Market Segmentation
  • Research Methodology
  • Definitions and Assumptions
• Executive Summary
• Market Dynamics
  • Market Drivers
  • Market Restraints
  • Market Opportunities
• Key Insights
  • Key Industry Developments – Merger, Acquisitions, and Partnerships
  • Porter’s Five Forces Analysis
  • SWOT Analysis
  • Technological Developments
  • Value Chain Analysis

TOC Continued…!

Logistics Robots Market Drivers and restrains:

• Drivers:
  • Growth in E-Commerce: The expansion of e-commerce requires efficient and scalable logistics solutions, driving the adoption of logistics robots for tasks such as sorting, packing, and material handling.
  • Advancements in Robotics Technology: Innovations in robotics, including improved navigation systems, AI, and automation, enhance the capabilities and efficiency of logistics robots, increasing their market appeal.
  • Increased Focus on Operational Efficiency: Companies seek to streamline operations and reduce manual labor, driving demand for logistics robots that offer improved speed, accuracy, and productivity in warehousing and distribution.
  • Labor Shortages: The growing shortage of skilled labor and increasing labor costs prompt businesses to invest in robotics solutions to automate repetitive and physically demanding tasks.
  • Improved Safety and Reduced Human Error: Logistics robots help reduce workplace accidents and errors by automating hazardous or complex tasks, contributing to safer and more reliable operations.
• Restraints:
  • High Initial Costs: The significant upfront investment required for purchasing and implementing logistics robots can be a barrier for small and medium-sized enterprises (SMEs).
  • Integration Challenges: Integrating robotics with existing logistics infrastructure and systems can be complex, requiring custom solutions and potentially leading to increased costs and time delays.
  • Maintenance and Technical Expertise: Ongoing maintenance and the need for specialized technical expertise to operate and repair robotics systems can add to the total cost of ownership and operational challenges.
  • Technological Obsolescence: Rapid advancements in technology can lead to faster obsolescence of existing robotics systems, necessitating frequent upgrades or replacements to stay competitive.
  • Limited Flexibility: Some logistics robots may lack the flexibility to handle a wide range of tasks or adapt to changing requirements, potentially limiting their applicability in diverse logistics environments.

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