Robotic Software Market Size

Robotic Software Market Size

The global robotic software market was valued at USD 20 billion in 2024 and is estimated to grow at a CAGR of 22.4% to reach USD 150 billion by 2034. The growth of the market is attributed to factors such as growing integration of AI and ML into robotic software and rising demand for collaborative robots.
 

The rapid proliferation of AI and ML into robotic software, especially in agriculture is one of the leading factors driving the demand for robotic software worldwide. For example, AI and ML are being used to develop robots that can autonomously navigate and manage crops, increasing efficiency and reducing labour costs. Robotics is used to automate tasks in agriculture, such as planting, harvesting, and spraying. AI and ML algorithms are used to optimize the farming operations, such as predicting weather patterns, optimizing water usage, and monitoring crop health.  

According to Statista, in 2024, The AI & ML Service Robotics market is projected to reach a size of USD9.82 billion in 2025, with an expected annual growth rate of 23.54%, leading to a market volume of USD 28.24 billion by 2030. Globally, the United States is anticipated to hold the largest market share, reaching US$3.47 billion in 2025. 
 

The advancements in collaborative robots is another factor driving robotic software market growth. Collaborative robots are experiencing exponential growth due to being smarter and more productive helping address some of the biggest challenges in robotic automation. collaborative robots are automating tasks that industrial robots could not, pushing the limits of automation capabilities.
 

By 2027, collaborative robots market is expected to account for 29% of the global industrial robots market. Technological advancements such as embedded vision is enabling collaborative robots to identify the presence of humans and avoid unsafe operations and harmful collisions. AI & ML enables collaborative robots to understand spoken commands and respond with natural language, fostering intuitive collaboration. Leveraging AI collaborative robots can identify new objects simply by watching a person or using virtual reality without requiring a repository of training imagery. Such developments will support the growth of robotic software market during the forecast period.
 

Companies working in this market should focus on developing a decentralized, blockchain-powered trust and security framework for collaborative robots. This system will enable secure robot-to-robot and robot-to-human interactions, ensuring data integrity, authentication, and real-time decision traceability. Implement smart contracts to automate compliance with safety regulations, reducing cybersecurity risks and enabling safer human-robot collaboration in critical industries.