Emerging Applications Drive Robotic Platform Market Expansion
Robotic platforms are the backbone for programming, controlling, and managing robotic systems, streamlining their deployment and operation.
Robotic software platforms encompass a wide range of tools, APIs, and libraries that aid in simplifying the development of robots and leverage their capabilities and efficiency. They include capabilities for hardware abstraction, low-level device control, sensing, recognition, SLAM (Simultaneous Localization and Mapping), navigation, manipulation, package management, debugging, and development tools. By providing these functionalities, robotic platforms enhance the efficiency and autonomy of robots, enabling them to perform complex tasks and adapt to diverse environments.
The factors inhibiting the growth of the robotic platform market include the increasing adoption of automation in the manufacturing sector, the proliferation of service robots in healthcare, hospitality, and retail, and technological advancements such as computer vision.
Artificial Intelligence and Machine learning technologies are significantly enhancing the capabilities of robotic platforms. These advancements enable robots to learn from their environments, adapt to new tasks, and make decisions autonomously. This has expanded the range of robot applications, making them more versatile and efficient.
The rise of e-commerce has led to increasing demand for automation in logistics and warehousing. Robotic platforms are crucial in managing robotic systems that handle inventory, package sorting, and delivery.
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The rising focus on efficient supply chain management has further propelled the adoption of these platforms. NVIDIA's Isaac Robotics Platform is gaining widespread adoption among leading robotics companies globally. More than a dozen industry leaders, including BYD Electronics, Siemens, Teradyne Robotics, and Intrinsic (an Alphabet Company), are integrating NVIDIA's physically based simulation and AI models into their software frameworks and robot models. The aim is to enhance efficiency and safety in factories, warehouses, and distribution centers while enabling robots to act as intelligent assistants for repetitive or ultra-precise tasks.
The advent of collaborative robots in various industries has further accelerated the market opportunities for the robotic platform market. These platforms simplify cobots' programming, operation, and maintenance, ensuring seamless human-robot interactions. By abstracting the complexities of low-level robot control and programming, these software platforms empower a broader range of users, including those without extensive robotics expertise, to effectively leverage cobots' capabilities.
According to the International Federation of Robotics (IFR), the shipment of collaborative robots was 55 thousand units in 2022, compared to 42 thousand units in 2021, showcasing an increase of 31% from the previous year. This exponential growth of collaborative robots will further drive the market for robotic platforms. These platforms simplify robot programming, safety monitoring, and human-robot interaction, facilitating the widespread deployment of cobots.
Critical challenges facing the robotic platform market are the lack of widely adopted standards and interoperability frameworks, cybersecurity, and Data Privacy. Deploying and integrating robotic platforms requires specialized skills and knowledge. The complexity of programming and maintaining these systems can challenge organizations lacking technical expertise, leading to a reliance on third-party providers.
The key players in the robotic platform market include ABB (Switzerland), FANUC America Corporation (US), NVIDIA Corporation (US), IBM (US), Brain Corporation (US), KUKA AG (Germany), MOV AI (Israel), among other. The companies continuously engage in new product launches and collaboration strategies to cater to a competitive edge in the market. For Instance, In September 2023, ABB announced the launch of the OptiFact software platform, which can visualize, analyze, and streamline data collection from ABB Robots and other factory devices.
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