Global Automation and Robotics (Industrial, Enterprise, Military, and Consumer) Market 2020-2025: Assistive Robotics Market will Reach $18.7B by 2025, Driven by Healthcare and Social Needs
DUBLIN, Oct. 12, 2020 /PRNewswire/ -- The "Automation and Robotics Market in Industrial, Enterprise, Military, and Consumer Segments by Type, Components, Hardware, Software, and Services 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.
This research evaluates the global and regional robotics marketplace including the technologies, companies, and solutions for robots in the industrial, enterprise, military, and consumer segments.
We see substantial overall industry growth across a wide range of robot types that engage in diverse tasks such as home cleaning, personalized healthcare service, home security, autonomous cars, robotic entertainment and toys, carebot services, managing daily schedules, and many more assistive tasks. A few key factors such as the ageing population, personalization services trends, and robot mobility will drive growth in this industry segment.
Robotics in business will accelerate as less expensive hardware and improvements in AI lead to improved cost structures and increased integration with enterprise software systems respectively. The massive amount of data generated by robotics will create opportunities for data analytics and AI-enabled decision support systems. Enterprise users will capitalize upon new and enhanced robotics capabilities to enable new use cases and improved workflow. Many business processes will change as enterprise becomes savvier about the flexibility of robotics uninhibited by bandwidth constraints.
One of the largest ROI areas for 5G will be video surveillance, which will be offered on a security as a service basis. Companies engaged in related areas such as computer vision technologies, edge computing, and AI-enabled data analytics are also expected to benefit from anticipated wide-scale deployment of 5G-enabled video cameras. While 5G provides the bandwidth and low-latency required to handle real-time video, edge computing is required to maintain low latency (e.g. no back-haul to core cloud computing) and AI is required for localized, real-time decision making.
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SOURCE Research and Markets