Internet of Robotic Things (IoRT) Market Size, Share, Trends, and Growth Forecast

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Introduction

The Internet of Robotic Things (IoRT) is a fusion of robotics, sensors, artificial intelligence (AI), and the Internet of Things (IoT). It refers to intelligent robotic systems that can collect data from their environment, analyze it, communicate with other systems, and act autonomously or semi-autonomously. IoRT enables smart interaction between robots and humans, machines, and data systems. These systems are capable of decision-making, learning, and adaptation in real-time. IoRT applications span across industries such as manufacturing, healthcare, logistics, agriculture, smart homes, and defense. The demand for interconnected intelligent systems continues to rise as industries pursue automation, efficiency, and predictive control.

Market Size

Data Bridge Market Research analyses that the internet of robotic things (IoRT) market, valued at USD 24.97 billion in 2022, will reach USD 168.22 billion by 2030, growing at a CAGR of 26.93% during the forecast period of 2023 to 2030. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

For more information:

https://www.databridgemarketresearch.com/reports/global-internet-of-robotic-things-iort-market

Market Trends

The convergence of AI and machine learning with robotics is a dominant trend in the IoRT market. Robots are becoming smarter and more responsive. AI-driven robots can make decisions based on real-time data, detect anomalies, and optimize performance without human intervention. Machine learning enhances their ability to improve over time based on experience and data inputs.

Edge computing is being increasingly implemented in IoRT systems. It allows real-time data processing on the robot or close to the data source. This reduces latency and dependence on cloud computing. It is especially important for applications requiring fast response times, such as autonomous vehicles, drones, and surgical robots.

Cloud robotics is gaining traction. It allows robotic systems to access vast computing power, databases, and collaborative learning environments. Cloud platforms support software updates, remote monitoring, and control of robotic devices from anywhere.

Collaborative robots or cobots are becoming central to industrial IoRT applications. These robots work alongside humans, enhancing productivity and safety. Cobots are equipped with sensors and connectivity features that align with IoRT functions.

Voice and vision-enabled robotic systems are becoming mainstream. IoRT devices with natural language processing and computer vision capabilities improve interaction between humans and machines. In sectors like healthcare and retail, this trend is reshaping the customer and patient experience.

Market Share

The Internet of Robotic Things market is composed of several key players, including ABB Ltd., KUKA AG, Fanuc Corporation, Rockwell Automation, Amazon Robotics, Google (Alphabet Inc.), IBM Corporation, and Cisco Systems. These companies lead the market through strong R&D capabilities, strategic partnerships, and robust product portfolios.

ABB holds a significant market share with its wide range of industrial robotic systems integrated with IoT. KUKA and Fanuc dominate the manufacturing and automotive segments, offering advanced robotic automation with networked intelligence. Amazon Robotics leads in logistics automation, using interconnected mobile robots for warehousing operations. Google and IBM are strong in software and AI, powering intelligent robotic ecosystems with data analytics and cloud computing.

North America holds approximately 35% of the global IoRT market, with Europe contributing 25%. Asia-Pacific accounts for over 30%, and is growing rapidly due to smart manufacturing initiatives in China, Japan, South Korea, and India.

In terms of industry application share, manufacturing represents the largest segment, followed by healthcare, logistics, and agriculture. The rise of smart cities is also contributing to growth in consumer IoRT devices used in homes, security systems, and smart appliances.

The Evolution

The evolution of the Internet of Robotic Things has been shaped by advancements in both robotics and connectivity. In the early 2000s, robotic systems operated independently with limited intelligence. These robots performed repetitive tasks and lacked environmental awareness.

The introduction of IoT allowed devices to communicate and share data. When integrated with robotics, it opened new possibilities. Robots could access real-time data, collaborate with other machines, and perform more complex functions. The focus shifted from standalone robots to connected, intelligent robotic systems.

The emergence of 5G, edge computing, and AI in the 2010s accelerated IoRT development. Robots began using AI for object recognition, navigation, language understanding, and predictive maintenance. Their capabilities expanded beyond industrial use into consumer, healthcare, and security sectors.

By 2020, IoRT systems became capable of cloud-based control, autonomous operation, and learning from collective data. Drones, autonomous delivery bots, robotic surgeons, and warehouse robots showcased the full potential of IoRT integration.

Currently, IoRT is entering its next phase, driven by advances in real-time analytics, quantum computing, and neuromorphic engineering. These technologies promise to create even smarter and more adaptable robotic networks.

Market Trends and Factors Driving Growth

Multiple factors are driving the growth of the Internet of Robotic Things market.

The first major factor is the demand for automation. Industries worldwide are automating tasks to increase efficiency, reduce labor costs, and ensure consistent product quality. IoRT enhances automation by enabling machines to think, respond, and adapt in real-time.

Second, the surge in smart factory projects is boosting IoRT adoption. IoRT plays a central role in Industry 4.0 by connecting machines, tools, and operators in a single intelligent network. Predictive maintenance, process optimization, and supply chain automation are some benefits driving industrial investment in IoRT.

Third, the healthcare sector is adopting IoRT for robotic surgeries, patient care, rehabilitation, and telemedicine. Robotic systems equipped with IoT sensors are helping doctors monitor patients remotely, assist in surgery, and deliver medications.

Fourth, the growth of autonomous vehicles and drones is contributing to market expansion. IoRT enables these vehicles to perceive their environment, navigate accurately, avoid obstacles, and make decisions without human control.

Fifth, security and surveillance applications are increasing. IoRT-enabled robots are being deployed for patrol, threat detection, and real-time alerts in public spaces and private properties.

Sixth, logistics and e-commerce companies are using IoRT for inventory management, automated packaging, and last-mile delivery. The ability to track and manage operations in real time is improving supply chain efficiency and customer satisfaction.

Seventh, government support and funding for robotics and IoT research are providing a significant boost. Policies promoting smart cities, advanced manufacturing, and digital transformation are creating opportunities for IoRT solution providers.

Finally, the COVID-19 pandemic accelerated digital transformation and automation across industries. From contactless delivery robots to remote healthcare services, IoRT systems proved their value in managing crisis situations and maintaining operations during disruptions.

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