Public Relation Robots : Technologies, Market and Players

 Public relation robots are robots integrated with artificial intelligence technology and used in several applications such as monitoring, supervision, delivery of goods and guiding to the guest. These robots can do a various monotonous tasks without any human interference For instance, Pepper is one of the most human-like robots in the world which can interact with humans and read emotions.

Increasing applications of artificial intelligence (AI) and growing implementation of humanoids are the key factors impelling the growth of public relation robots market across the globe. AI helps robots to understand the language, read faces, understand emotions, and even imitate human emotions. To fulfil the tasks of assisted living, several companies are using AI technology, thereby increasing the growth of the public relation robots market across the globe. Furthermore, recent advances in assistive technologies, artificial intelligence technologies and machine learning algorithms are fueling the growth of the market. Rising need to improve productivity and efficiency is boosting the demand for public relation robots in various sectors. Public relation robots are used in various domestic/personal and commercial applications. They are more productive than humans and also the working periods of a robot can be extended beyond conventional hours to meet respected demands. Public relation robots are also being used for handling customers in sectors, such as hotel, restaurant and marketing. Rising automation in various industries in order to meet the continuously growing consumer demands is also propelling the growth of global public relation robots market. High maintenance cost and increasing dependency on robots are some of the factors that may hinder the global public relation robots market. Also, user’s reluctance to adapt to changes in technology may restrict the market growth.

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The global public relation robots market can be segmented on the basis of product, end user and geography. On the basis of product, the global public relation robots market can be segmented into telepresence public relation robots, humanoid public relation robots and others. In terms of end user, the public relation robots market can be segmented into hotels and restaurants, mobile guidance and information, marketing, healthcare assistance, education and entertainment, media relation, agriculture, law enforcement and defense and others. Hotels and restaurants robots segment is anticipated to dominate the global public relation robots market throughout the forecast period owing to the growing implementation of delivery robots in order to increase the operational efficiency and rising automation requirements in room services. Law enforcement and defense segment is also expected to show significant growth over the forecast period due to the increasing adoption of Unmanned Arial Vehicles (UAV). Geographically, the global public relation robots market is divided into North America, Europe, Asia Pacific, Middle East and Africa and South America. Asia Pacific is projected to grow at significant rate during the forecast period owing to the growing adoption of automation in various industries and increasing need to build an efficient hospitality operation. The rising deployment of robot assistants in retail chains will boost the growth of the market in this region. North America is anticipated to contribute highest market share due to the advancements in AI technology and early adoption of automation. Increasing adoption of public relation robots in industrial applications across Europe is anticipated to fuel the market growth.

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The global public relation robots market includes large number of players. Some of the key players are AMS Technologies AG, Anybots Inc., Boston Dynamics, DST Robot Co., Ltd., Hajime Research Institute, Hanson Robotics, Nanjing Avatarmind Robot Technology Limited Company, Google Inc., Meka Robotics, Dyson Ltd., Kawada Robotics, Samsung Electronics and Robosoft Technologies Private Limited.

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