Warehouse Picking (Humanoid) Robots Market by Offering (Hardware, Software, and Services), by Type (Automatic Guided Vehicles (AGVs), by Autonomous Mobile Robots (AMRs), Articulated Robots, Collaborative robots, Cylindrical & SCARA robots, and Others), by Payload Capacity (Less than 20 Kg, 20-100 kg, 100-200 kg, and More Than 200 Kg), by Application (Palletizing & depalletizing, Sorting & Packaging, Picking & Placing, and Transportation), and by End-User (E-commerce, Automotive & Transportation, Food & Beverages, Chemical, Rubber & Plastics, Healthcare, Electrical & Electronics, and Others): Global Opportunity Analysis and Industry Forecast, 2024–2030

Warehouse Picking (Humanoid) Robots Market

Industry:  ICT & Media | Publish Date: Oct 2023 | No of Pages:  N/A | No. Tables:  N/A | No. Figures:  N/A

Market Definition

The global Warehouse Picking (Humanoid) Robots Market size was valued at USD 6.69 billion in 2023 and is predicted to reach USD 15.98 billion by 2030 with a CAGR of 13.2% from 2024 to 2030. Warehouse picking humanoid robots refers to the use of robots and other automated systems in the management of warehouses, distribution centers, and other storage facilities. These robots are equipped with various technologies such as laser, computer vision, geo-guidance and LiDAR for effective navigation within a warehouse.

These robots mainly use a human-like arm and hand to handle a wide range of products in the warehouse and distribution centers. Warehouse picking (humanoid) robots includes a range of robotic systems, such as autonomous mobile robots, conveyor systems, automated storage and retrieval systems, and other automated machines that perform tasks such as picking, packing, sorting, and moving products.

Warehouse picking robots are typically controlled by a combination of pre-programmed instructions and real-time data inputs, such as product and inventory information, order specifications, and environmental factors including obstacles and traffic. This information is used to direct the robot's movements and actions to perform specific tasks, such as picking up products from shelves or pallets and placing them in the designated location.

Market Dynamics and Trends

The rapidly expanding e-commerce sector, which employs warehouse robots to automate inventory management and order processing to meet the high number of sales and delivery of goods, is driving the growth of the warehouse picking (humanoid) robots market.

Moreover, advancements in technology such as improvements in artificial intelligence, machine learning, and computer vision to perform more complex tasks in a warehouse environment are further driving the growth of the global market. Furthermore, the growing adoption of automation in warehouse and distribution centers to improve the storing process and reduce workplace injuries is further driving the growth of the warehouse picking robots market.

However, high deployment cost and cybersecurity issues with warehouse humanoid robots are the major factors restraining the growth of the market. On the contrary, introduction of industry 4.0 that integrates AI and IoT into warehouse robotics to streamline workflows using improved connectivity is expected to create ample opportunities in the warehouse picking (humanoid) robots market in the coming years.

 

Market Segmentations and Scope of the Study

The warehouse picking (humanoid) robots market report is segmented on the basis of offering, type, payload capacity, application, end-user, and region. On the basis of offering, the market is classified into hardware, software, and services. On the basis of type, the market is classified into automatic guided vehicles (AGVs), autonomous mobile robots (AMRs), articulated robots, collaborative robots, cylindrical & SCARA robots, and others. By payload capacity, it is divided into less than 20 Kg, 20–100 kg, 100–200 kg, and more than 200 Kg. By application, it is categorized into palletizing & depalletizing, sorting & packaging, picking & placing, and transportation. On the basis of end-user, it is divided into ecommerce, automotive & transportation, foods & beverages, chemical, rubber, and plastics, healthcare, electrical & electronics, and others. The regional breakdown and analysis of each of the aforesaid segments include regions comprising North America, Europe, Asia-Pacific, and RoW.

 

Geographical Analysis

North America holds the dominant share of warehouse picking (humanoid) robots market and is expected to continue its dominance during the forecast period. This is attributed to factors such as the developed healthcare industry along with increased demand for pharmaceuticals and medical devices that increasingly use automated robotics to optimize storage and retrieval processes. According to the Centers for Medicare & Medicaid Services, national healthcare expenditure reached 4.3 trillion in 2021 in the U.S. as compared to USD 4.1 trillion in 2020.

Moreover, the rapidly growing agriculture, food and beverage sector in North America along with the increasing need for warehouse robotics to improve efficiency and reduce costs in warehouse storage is further driving the growth of the market. According to the US Department of Agriculture, agriculture, food, and related industries contributed USD 1.26 trillion to the U.S. gross domestic product (GDP) in 2021.

On the other hand, Asia-Pacific is expected to show a steady growth in the warehouse picking (humanoid) robots market. This is due to the rapidly growing e-commerce industry along with the need to automate picking and palletizing processes in warehouse and distribution centers in countries such as China, India, and Japan. According to the International Trade Administration, China is the largest e-commerce market globally, pegged at USD 2.29 trillion in 2020 and is expected to reach USD 3.56 trillion by 2024.

Moreover, the huge automotive industry in countries such as China, India, and Japan are further driving the growth of the warehouse picking (humanoid) robots market. The rise in the number of automotive manufacturing plants & warehouses in countries like China, India, and Japan is driving the growth of the global market in this region. According to the International Trade Administration, China is the largest vehicle manufacturing country in the world that sold over 25 million vehicles in 2020 and has a projected domestic production capacity to reach 35 million vehicles by 2025.

 

Competitive Landscape

The market players operating in the warehouse picking (humanoid) robots industry include KION Group, Honeywell International Inc., Omron Corporation, Daifuku Co. Ltd., Midea Group, ABB Ltd., Yaskawa Electric Corporation, Fanuc Corporation, Toshiba Corporation, Locus Robotics, and others. These market players are adopting various strategies such as product launch to remain dominant in the global market.

For instance, in December 2022, ABB Ltd. launched "ABB SWIFT CRB 1300" industrial collaborative robot. The launch was aimed toward automating various tasks such as palletizing and pick-and-place among others in warehouses. Moreover, in January 2022, Fanuc introduced M-1000iA robot with a robotic arm to wider range of motion in every direction. The warehouse robot is capable of handling heavy products such as automotive components, construction materials, and battery packs for electric vehicles. Furthermore, in September 2021, Honeywell launched the new robotic technology "Smart Flexible Depalletizer". Through this launch, the company aims to provide a robotic solution to help the warehouse boost productivity by minimizing human labor.

Key Benefits

  • The report provides quantitative analysis and estimations of the warehouse picking (humanoid) robots market from 2024 to 2030, which assists in identifying the prevailing market opportunities.

  • The study comprises a deep dive analysis of the warehouse picking (humanoid) robots market including the current and future trends to depict prevalent investment pockets in the market.

  • Information related to key drivers, restraints, and opportunities and their impact on the warehouse picking (humanoid) robots market is provided in the report. 

  • Competitive analysis of the players, along with their market share is provided in the report.

  • SWOT analysis and Porters Five Forces model is elaborated in the study.

  • Value chain analysis in the market study provides a clear picture of roles of stakeholders.

Warehouse Picking (Humanoid) Robots Market Key Segments

By Offering 

  • Hardware

  • Software

  • Services

By Type 

  • Automatic Guided Vehicles (AGVs)

  • Autonomous Mobile Robots (AMRs)

  • Articulated Robots

  • Collaborative robots

  • Cylindrical & SCARA robots

By Payload Capacity

  • Less than 20 Kg

  • 20-100 kg

  • 100-200 kg

  • More Than 200 Kg

By Application 

  • Palletizing & Depalletizing

  • Sorting & Packaging

  • Picking & Placing

  • Transportation

By End-User 

  • E-commerce

  • Automotive & Transportation

  • Food & Beverages

  • Chemical

  • Rubber & Plastics

  • Healthcare

  • Electrical & Electronics

  • Others

By Region

  • North America

    • The U.S.

    • Canada

    • Mexico

  • Europe

    • The UK

    • Germany

    • France        

    • Italy        

    • Spain        

    • Denmark        

    • Netherlands        

    • Finland        

    • Sweden        

    • Norway        

    • Russia        

    • Rest of Europe    

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

    • Indonesia

    • Singapore

    • Taiwan

    • Thailand

    • Rest of Asia Pacific

  • RoW

    • Latin America

    • Middle East

    • Africa

Report Scope and Segmentation

Parameters

Details

Market Size in 2024

USD 6.69 Billion

Revenue Forecast in 2030

USD 15.98 Billion

Growth Rate

CAGR of 13.2% from 2024 to 2030

Analysis Period

2023–2030

Base Year Considered

2023

Forecast Period

2024–2030

Market Size Estimation

Billion (USD)

Growth Factors

Increasing adoption of robotics in e-commerce and logistics sector

Advancements in technology such as improvements in artificial intelligence, machine learning, and computer vision

Growing adoption of automation in warehouse and distribution centers

Countries Covered

28

Companies Profiled

10

Market Share

Available for 10 companies

Customization Scope

Free customization (equivalent up to 80 working hours of analysts) after purchase. Addition or alteration to country, regional, and segment scope.

Pricing and Purchase Options

Avail customized purchase options to meet your exact research needs.

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Key Players

  • KION Group

  • Honeywell International Inc.

  • Omron Corporation

  • Daifuku Co. Ltd.

  • Midea Group

  • ABB Ltd.

  • Yaskawa Electric Corporation

  • Fanuc Corporation

  • Toshiba Corporation

  • Locus Robotics


Frequently Asked Questions
What are Warehouse Picking (Humanoid) Robots?

Warehouse-picking humanoid robots are automated systems equipped with advanced technologies like laser, computer vision, and LiDAR, designed for managing warehouse operations. These robots typically have human-like arms and hands, enabling them to handle a wide range of products within warehouses and distribution centers.

Who are the key players in this market?

Prominent players in the warehouse picking humanoid robots market include KION Group, Honeywell International Inc., Omron Corporation, Daifuku Co. Ltd., Midea Group, ABB Ltd., Yaskawa Electric Corporation, Fanuc Corporation, Toshiba Corporation, Locus Robotics, and others.

What is the current and predicted market size of warehouse picking (humanoid) robots market?

The warehouse picking (humanoid) robots market is valued at USD 6.69 billion and is expected to reach USD 15.98 billion at a CAGR of 13.2% from 2024-2030.

What Kinds of Tasks Can Warehouse Robots Help With?

Warehouse picking robots can automate various tasks such as picking, packing, sorting, and transporting products within a warehouse, enhancing efficiency and reducing manual labor.

What drives the growth of the Warehouse Picking (Humanoid) Robots market?

The growth of this market is primarily fueled by the rapidly expanding e-commerce sector, technological advancements in AI, machine learning, and computer vision, as well as the increasing adoption of automation in warehouse and distribution centers to enhance efficiency and reduce workplace injuries.