Introduction

Robot Statistics: The field of robotics has undergone remarkable advancements in recent years. Revolutionizing industries, shaping economies, and transforming the way we live and work.

Robots, once confined to the realms of science fiction, have become a tangible reality in our modern world.

These machines, capable of carrying out tasks autonomously or semi-autonomously, have found applications in diverse sectors. From manufacturing and healthcare to agriculture, transportation, and beyond.

Introduction

Robotics Industry Statistics: The robotics industry has rapidly transformed from a futuristic vision into a core part of today’s industrial operations. As of 2024, around 3.4 million industrial robots are in use worldwide, performing tasks in manufacturing, logistics, healthcare, and even domestic environments. In automotive factories, robots handle nearly 50% of production processes. The global robotics market, including both industrial and service robots, is projected to exceed USD 45 billion in 2025, driven by increased automation demand.

In 2023, more than 550,000 new robots were installed globally, setting a record for annual deployment. The adoption of collaborative robots (cobots) also grew by over 20% year-over-year. Robots are now not only assembling vehicles but also assisting in surgical procedures, warehouse management, and household chores. In Japan alone, over 350,000 industrial robots are operational, reflecting the country’s leadership in automation. Meanwhile, China accounts for nearly 52% of all global robot installations, highlighting its rapid industrial scaling.

This paper presents updated statistics and trends from 2024 and 2025, providing a numerical overview of robotics integration across industries. So let's delve into some interesting statistics to get a better sense of the size and growth of the robotics industry.

Worldwide industrial robot shipments amounted to some ******* in 2022, just a slight increase compared to 2021. It is projected that industrial robot shipments will increase significantly in the coming years. It is expected that in 2026, global industrial robot shipments will amount to about *******. Leading industrial robot markets Japan, China, the United States, South Korea, and Germany are counted among the five leading industrial robot markets worldwide. In emerging manufacturing markets, the growth trend is largely driven by rising wages that make the use of machines appear a viable alternative to human labor. Leading applications for industrial robots Industrial robots can be deployed for a wide range of tasks in a growing number of industries. Although the highly automated car manufacturing sector remains one the largest areas of application for electro-mechanical machines, it was the electrical/electronics industry that installed the most industrial robots in 2020. It has to be noted that the field of robotics is a part of another industry: the automation market. This industry is comprised of a variety of products and services, including relays, switches, sensors and drives, machine vision and control systems, as well as industry software development and services. Conglomerates like Siemens, Mitsubishi Electric or General Electric are the major vendors of industrial automation and industry software. The key players in the industrial robot market include ABB, KUKA, Fanuc, Kawasaki, and Yaskawa.

Introduction

Agricultural Robots Statistics: The transition that agriculture, the backbone of human civilization, is currently experiencing is largely driven by advanced technology. Among the technological innovations in agriculture, agricultural robots—often referred to as "bots"—are at the forefront of this change, disrupting traditional farming practices. Agricultural robots are autonomous machines that perform various tasks, including planting, harvesting, monitoring crop health, and managing livestock.

Their increasing acceptance is due to their ability to enhance efficiency, address the shortage of agricultural labor, and meet the rising demand for food with higher productivity. This article will present statistics on agricultural robots for 2025, highlighting key trends in the market and the factors contributing to their growth.

Introduction

Educational Robots Statistics: Educational robots are specialized devices employed in the educational field to engage students and facilitate learning. Especially in science, technology, engineering, and mathematics (STEM).

These robots possess the capability to be programmed, feature sensors, and are often mobile, allowing them to interact with their surroundings.

They are available in various forms, ranging from DIY robotic kits to pre-programmed and remotely controlled robots, serving as hands-on learning aids.

Educational robots find widespread use in STEM education, coding instruction, and problem-solving tasks. Delivering practical knowledge and preparing students for future careers in technology-related professions.

While they offer advantages such as improved learning and the development of critical skills. Challenges like cost, teacher training, and maintenance should be considered.

The global market for industrial robots is projected to grow steadily between 2018 and 2028. In 2020, the size of the market was estimated at around ** billion U.S. dollars, with some *** million units of industrial robots in operation worldwide. In 2028, the market size is projected to surpass *** billion U.S. dollars.

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Industrial Robotics Market Size 2025-2029

The industrial robotics market size is forecast to increase by USD 47.63 billion, at a CAGR of 19.4% between 2024 and 2029.

The market is experiencing a significant surge in demand, driven by the integration of advanced technologies such as artificial intelligence, machine learning, and collaborative robots. These innovations enable increased automation, flexibility, and efficiency in manufacturing processes, making industrial robots an indispensable asset for modern industries. However, the market faces challenges as well. The high cost of services, including installation, maintenance, and training, can hinder adoption for some businesses, particularly small and medium-sized enterprises. To capitalize on market opportunities, companies must focus on cost reduction strategies, such as offering flexible pricing models or partnering with service providers. Additionally, collaborating with technology partners to develop user-friendly interfaces and remote monitoring capabilities can help alleviate concerns around service costs and support. By addressing these challenges and continuing to innovate, the market participants can position themselves for long-term success in this dynamic and growing market.

What will be the Size of the Industrial Robotics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by advancements in technology and their applications across various sectors. Manufacturing Execution Systems (MES) integrated with cloud computing enable real-time data analytics, enhancing process optimization and quality control. Machine learning and deep learning algorithms facilitate robot programming and robotics education, allowing for more efficient and adaptive automation solutions. CE marking ensures safety standards are met, while open source software and robotics research foster innovation and collaboration. Collaborative robots, or cobots, and robotics software enable seamless integration with control systems, such as PLC and motion control, and artificial intelligence applications like natural language processing and robot simulation. Payload capacity, end-of-arm tooling, and material handling are key considerations for robotics development, with applications ranging from CNC machining and pallet handling to pick and place and 3D printing. Integration services and simulation software play a crucial role in the design and implementation of industrial automation systems. Safety standards, such as UL certification, are essential in ensuring the reliable operation of industrial robots. The ongoing development of robotics technology, including cartesian, SCARA, delta, and articulated robots, continues to transform industries, from manufacturing and material handling to automated guided vehicles and process optimization.

How is this Industrial Robotics Industry segmented?

The industrial robotics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeArticulatedSCARACylindricalOthersEnd-userElectrical and electronicsAutomotiveMetal and machineryPharmaceuticalsOthersProductTraditional industrial robotsCollaborative robotsMobility TypeStationary robotsMobile robotsProduct TypeMaterials handlingSoldering and weldingAssembling and disassemblingPainting and dispensingOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyAPACChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

By Type Insights

The articulated segment is estimated to witness significant growth during the forecast period.Articulated robots, characterized by their multiple rotary joints, are revolutionizing manufacturing processes across industries such as automotive, metals and machinery, and pharmaceuticals. These robots, which mimic human arm movements, provide versatility and flexibility, enabling them to handle complex tasks with precision in confined spaces. The six-axis robot, offering six degrees of freedom, is the most popular configuration for articulated robots due to its ability to move in any direction and reach any point within its workspace. Machine learning and artificial intelligence technologies are enhancing robot programming, allowing for more efficient and adaptive automation. Cloud computing and data analytics enable real-time monitoring and process optimization, while safety standards, such as CE marking and UL certification, ensure compliance. Collaborative robots, or cobots, are gaining popularity for their ability to work alongside human operators, increasing productivity and efficiency. Open source software and robotics research foster inn

This element involves the development of software that enables easier commanding of a wide range of NASA relevant robots through the Robot Application Programming Interface Delegate (RAPID) robot messaging system and infusing the developed software into flight projects.  In June and July of 2013, RAPID was tested on ISS as the robot messaging software for the Technology Demonstration Mission (TDM) Human Exploration Telerobotics (HET) Surface Telerobotics experiment.  RAPID has also been made available to — and integrated with — the Robot Operating System (ROS), a popular software framework for developing state-of-the-art robots for ground and space. While ROS powers a number of new robots and components such as Robonaut 2’s climbing legs and R5, the addition of RAPID allows these robots to interoperate in collaborative human-robot teams, safely and effectively over time-delayed communications links. The objective this year is to take this space-tested software and extend it to providing video streaming from remote robots and delivering this new capability to the Exploration Ground Data Systems (xGDS) area within HRS.  xGDS will then deliver its software to Science Mission Directorate (SMD) funded field tests to improve the technology readiness moving leading (potentially) to being used for the Lunar Prospector Mission ground data systems.  Success will involve delivering RAPID to xGDS and then xGDS supporting SMD field test.

The team is also developing algorithms for sensors capable of reconstructing remote worlds and efficiently shipping that remote environment back to earth using the RAPID robot messaging system.  This type of system could eventually lead to scientists on earth gain new insights as they are able to step into the remote world.  This sensor also has the ability to engage the public, bringing remote worlds back to earth.  During FY13, this task used science operations personnel from current SMD projects to objectively measure improvement in remote science target selection and decision-making based. The team continues to work with SMD projects to ensure that the technologies being developed are directly responsive to SMD project personnel needs. The objective of this work in FY14 is to expand the range of science operations tasks addressed by the technology, and to perform laboratory demonstrations for JPL/SMD stakeholders of the immersive visualization of data from a sensor using an SMD representative environment.

During 2014, the “Controlling Robots Over Time Delay” project element will develop two technologies:

• Develop RAPID robot messaging for unified cross-center operations platform for TDM, xGDS, and CCSDS
• Sensor Systems for the Construction of Immersive Virtual Environments

Industrial Robots Market reached a value of USD 21.77 billion, and it is projected to surge to USD 47.86 billion by 2030.

This data set is captured from a robot workcell that is performing activities representative of several manufacturing operations. The workcell contains two, 6-degree-of-freedom robot manipulators where one robot is performing material handling operations (e.g., transport parts into and out of a specific work space) while the other robot is performing a simulated precision operation (e.g., the robot touching the center of a part with a tool tip that leaves a mark on the part). This precision operation is intended to represent a precise manufacturing operation (e.g., welding, machining). The goal of this data set is to provide robot level and process level measurements of the workcell operating in nominal parameters. There are no known equipment or process degradations in the workcell. The material handling robot will perform pick and place operations, including moving simulated parts from an input area to in-process work fixtures. Once parts are placed in/on the work fixtures, the second robot will interact with the part in a specified precise manner. In this specific instance, the second robot has a pen mounted to its tool flange and is drawing the NIST logo on a surface of the part. When the precision operation is completed, the material handling robot will then move the completed part to an output. This suite of data includes process data and performance data, including timestamps. Timestamps are recorded at predefined state changes and events on the PLC and robot controllers, respectively. Each robot controller and the PLC have their own internal clocks and, due to hardware limitations, the timestamps recorded on each device are relative to their own internal clocks. All timestamp data collected on the PLC is available for real-time calculations and is recorded. The timestamps collected on the robots are only available as recorded data for post-processing and analysis. The timestamps collected on the PLC correspond to 14 part state changes throughout the processing of a part. Timestamps are recorded when PLC-monitored triggers are activated by internal processing (PLC trigger origin) or after the PLC receives an input from a robot controller (robot trigger origin). Records generated from PLC-originated triggers include parts entering the work cell, assignment of robot tasks, and parts leaving the work cell. PLC-originating triggers are activated by either internal algorithms or sensors which are monitored directly in the PLC Inputs/Outputs (I/O). Records generated from a robot-originated trigger include when a robot begins operating on a part, when the task operation is complete, and when the robot has physically cleared the fixture area and is ready for a new task assignment. Robot-originating triggers are activated by PLC I/O. Process data collected in the workcell are the variable pieces of process information. This includes the input location (single option in the initial configuration presented in this paper), the output location (single option in the initial configuration presented in this paper), the work fixture location, the part number counted from startup, and the part type (task number for drawing robot). Additional information on the context of the workcell operations and the captured data can be found in the attached files, which includes a README.txt, along with several noted publications. Disclaimer: Certain commercial entities, equipment, or materials may be identified or referenced in this data, or its supporting materials, in order to illustrate a point or concept. Such identification or reference is not intended to imply recommendation or endorsement by NIST; nor does it imply that the entities, materials, equipment or data are necessarily the best available for the purpose. The user assumes any and all risk arising from use of this dataset.

Statistics illustrates consumption, production, prices, and trade of Industrial Robots for Multiple Uses in China from 2007 to 2024.

Statistics illustrates consumption, production, prices, and trade of Industrial Robots for Multiple Uses in Finland from 2007 to 2024.

Snapshot img

Robotics Market Size 2025-2029

The robotics market size is forecast to increase by USD 18.79 billion, at a CAGR of 6.1% between 2024 and 2029.

The market is experiencing significant growth, driven by the emergence of medical robotics and the adoption of innovative business models. Medical robotics, with its potential to revolutionize healthcare through precision and efficiency, is a burgeoning sector. This trend is fueled by the increasing demand for minimally invasive surgeries and the need for cost-effective solutions in healthcare delivery. However, the market's growth is not without challenges. The shortage of skilled personnel in robotics engineering and programming poses a significant obstacle. As technology advances and the demand for automation increases, there is a pressing need for a workforce equipped to design, build, and maintain robotic systems. Companies must invest in training and education programs to address this challenge and secure a competitive edge.

What will be the Size of the Robotics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, with dynamic market activities shaping its landscape. Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into robot control systems, enabling advanced data acquisition and analysis for process optimization. Robotics applications span various sectors, including material handling and quality control, with industrial robots featuring payload capacities that cater to diverse industries. SCARA robots, delta robots, and articulated robots are utilized for their distinct capabilities in manufacturing processes. Collaborative robots (cobots) and mobile robots expand the robotics footprint, enhancing human-robot interaction (HRI) and material handling efficiency. Robot safety systems, including emergency stop buttons and safety sensors, are essential components that ensure worker safety. Robot programming languages facilitate seamless integration of 3D vision systems and force sensors for improved precision and adaptability. Cloud robotics and AI-driven robotics are transforming the industry, enabling real-time data processing and predictive maintenance. Robotics safety standards continue to evolve, reflecting the ongoing emphasis on safety and efficiency. Robotics applications extend beyond manufacturing, with robot simulation software and HRI systems enabling advancements in research and development. The continuous integration of advanced technologies, such as proximity sensors, torque sensors, and Cartesian robots, ensures the market's ongoing dynamism.

How is this Robotics Industry segmented?

The robotics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ApplicationIndustrialServicesEnd-userManufacturingHealthcareAerospace and DefenseMedia and entertainmentOthersComponentHardwareSoftwareServicesGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW).

By Application Insights

The industrial segment is estimated to witness significant growth during the forecast period.Industrial robots, a vital component of modern manufacturing, encompass various types such as delta, articulated, SCARA, and collaborative robots. These robots are employed across industries including automotive, metals and machinery, electrical and electronics, chemicals, and food and beverages, among others. Applications range from material handling and assembling to welding, cutting, and painting. Deep learning and AI are revolutionizing robot control systems, enabling advanced capabilities in data acquisition and analysis. Big data analytics and machine learning algorithms optimize processes, ensuring high-quality output. Force sensors and torque sensors enhance precision and safety, while robot safety standards ensure human-robot interaction. Payload capacity is a crucial factor in robot selection, with collaborative robots offering lower capacity but increased flexibility. Mobile robots add versatility, while delta robots excel in high-speed pick-and-place tasks. Articulated robots offer flexibility in complex manufacturing environments. Robot vision systems and 3D vision systems improve quality control and machine tending. Cycle time reduction is a significant trend, with robot simulation software aiding in optimization. Emergency stop buttons ensure safety, while robot programming languages facilitate ease of use. Cloud robotics and robotics safety systems are emerging trends, enabling remote monitoring and control. Human-robot interaction is a critical focus, with robotics safety syst

The Robotics Market Report is Segmented by Robot Type (Industrial Robots, Service Robots, and More), Component (Hardware, Software, and Services), Application (Manufacturing and Assembly, Logistics and Warehousing, Medical and Surgical, and More), End-User Industry (Automotive, Electronics and Semiconductor, Food and Beverage, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

The global market for autonomous mobile robots (AMR) was sized at about *** billion U.S. dollars in 2021. The market is expected to grow at a compound annual growth rate (CAGR) of around ** percent, reaching the size of over **** billion U.S. dollars by 2028.

Introduction

Robotic Process Automation Statistics: RPA is a transformative technology that leverages robot software to automate rule-based tasks within digital systems. It operates by identifying repetitive tasks and developing software bots to execute them.

Seamlessly integrating these bots with existing software applications. RPA offers numerous benefits, including cost efficiency, accuracy, scalability, and enhanced productivity.

Its adoption is on the rise across industries, with the global RPA market poised for significant growth. This technology has the potential to revolutionize business operations.

By reducing costs, improving efficiency, and allowing human employees to focus on more strategic activities. Ultimately enhancing overall productivity and competitiveness.

The dataset contains both the robot's high-level tool center position (TCP) health data and controller-level components' information (i.e., joint positions, velocities, currents, temperatures, currents). The datasets can be used by users (e.g., software developers, data scientists) who work on robot health management (including accuracy) but have limited or no access to robots that can capture real data. The datasets can support the: Development of robot health monitoring algorithms and tools Research of technologies and tools to support robot monitoring, diagnostics, prognostics, and health management (collectively called PHM) Validation and verification of the industrial PHM implementation. For example, the verification of a robot's TCP accuracy after the work cell has been reconfigured, or whenever a manufacturer wants to determine if the robot arm has experienced a degradation. For data collection, a trajectory is programmed for the Universal Robot (UR5) approaching and stopping at randomly-selected locations in its workspace. The robot moves along this preprogrammed trajectory during different conditions of temperature, payload, and speed. The TCP (x,y,z) of the robot are measured by a 7-D measurement system developed at NIST. Differences are calculated between the measured positions from the 7-D measurement system and the nominal positions calculated by the nominal robot kinematic parameters. The results are recorded within the dataset. Controller level sensing data are also collected from each joint (direct output from the controller of the UR5), to understand the influences of position degradation from temperature, payload, and speed. Controller-level data can be used for the root cause analysis of the robot performance degradation, by providing joint positions, velocities, currents, accelerations, torques, and temperatures. For example, the cold-start temperatures of the six joints were approximately 25 degrees Celsius. After two hours of operation, the joint temperatures increased to approximately 35 degrees Celsius. Control variables are listed in the header file in the data set (UR5TestResult_header.xlsx). If you'd like to comment on this data and/or offer recommendations on future datasets, please email guixiu.qiao@nist.gov.

In 2023, the Mobile Robot Market reached a value of USD 6.83 billion, and it is projected to surge to USD 14.31 billion by 2030.

Introduction

Agricultural Robotics Statistics: As for the agricultural sector, agricultural robotics allows for reaping the benefits of increased efficiency, productivity, and sustainability. The global agricultural robotics industry is also witnessing a considerable upsurge due to developments in AI, automation, and robotics, which have become an important aspect of modern agriculture.

The global agricultural robotics industry has grown substantially, with the market reaching an estimated USD 14.74 billion in 2024 and poised to expand further due to rapid advances in artificial intelligence, automation, and precision technologies. Forecasts suggest this sector could exceed USD 26 billion by 2032 at a compound annual growth rate (CAGR) of around 18 percent. Other projections indicate potential growth to between USD 86 and 103 billion by 2032–33, with CAGR estimates ranging from 20.5 percent to 25.7 percent.

In 2023, hardware, such as milking robots, drones, and driverless tractors, accounted for over 55 percent of the sector, while milking systems alone held nearly 49 percent of the total market. Meanwhile, autonomous guidance systems are already used on more than 50 percent of major field crops like corn, soybeans, and wheat in the United States.

These trends underline how robotics and AI-driven automation are significantly improving efficiency, productivity, and sustainability in modern agriculture. Below is a detailed analysis of the Agricultural robotic statistics, growth drivers, and inclusion in the future outlook.

Snapshot img

The healthcare robots market share should rise by USD 5.59 billion from 2021 to 2025 at a CAGR of 13.99%.

This healthcare robots market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by product (surgical robots, rehabilitation robots, and others) and geography (North America, APAC, Europe, MEA, and South America). The healthcare robots market report also offers information on several market vendors, including BlueBotics SA, DF Automation and Robotics Sdn Bhd, Kollmorgen Corp., MIDEA GROUP, Mobile Industrial Robots AS, OMRON Corp., PAL Robotics SL, Panasonic Corp., Savioke Inc., and Stryker Corp. among others.

What will the Healthcare Robots Market Size be in 2021?

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Healthcare Robots Market: Key Drivers and Trends

The technological advancements are notably driving the healthcare robots market growth, although factors such as the high cost of robotic systems may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the healthcare robots industry. The holistic analysis of the drivers will help in predicting end goals and refining marketing strategies to gain a competitive edge.

This healthcare robots market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

Who are the Major Healthcare Robots Market Vendors?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

BlueBotics SA
DF Automation and Robotics Sdn Bhd
Kollmorgen Corp.
MIDEA GROUP
Mobile Industrial Robots AS
OMRON Corp.
PAL Robotics SL
Panasonic Corp.
Savioke Inc.
Stryker Corp.

The vendor landscape of the healthcare robots market entails successful business strategies deployed by the vendors. The healthcare robots market is fragmented and the vendors are deploying various organic and inorganic growth strategies to compete in the market.

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the healthcare robots market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

Which are the Key Regions for Healthcare Robots Market?

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55% of the market’s growth will originate from North America during the forecast period. US and Canada are the key markets for healthcare robots in North America.

The report offers an up-to-date analysis of the geographical composition of the market. North America has been recording a significant growth rate and is expected to offer several growth opportunities to market vendors during the forecast period. The increasing adoption of surgical robots will facilitate the healthcare robots market growth in North America over the forecast period. The report offers an up-to-date analysis of the geographical composition of the market, competitive intelligence, and regional opportunities in store for vendors.

What are the Revenue-generating Product Segments in the Healthcare Robots Market?

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The healthcare robots market share growth by the surgical robots segment has been significant. This report provides insights on the impact of the unprecedented outbreak of COVID-19 on market segments. Through these insights, you can safely deduce transformation patterns in consumer behavior, which is crucial to gauge segment-wise revenue growth during 2021-2025 and embrace technologies to improve business efficiency.

This report provides an accurate prediction of the contribution of all the segments to the growth of the healthcare robots market size. Furthermore, our analysts have indicated actionable market insights on post COVID-19 impact on each segment, which is crucial to predict change in consumer demand.

    Healthcare Robots Market Scope




    Report Coverage


    Details




    Page number


    120




    Base year


    2020




    Forecast period


    2021-2025




    Growth momentu