The Global Robotics and Drones Spending Guide examines the opportunities for robotics and drones by use case, technology, industry, solution type and geography. This comprehensive database, available through IDC’s Customer Insights query tool, allows users to easily extract meaningful information about the robotics and drone market by viewing data trends and relationships and making data comparisons.
This product covers the following segments of the robotics and drone market:
Robots system technology nineteen tech groups: Hardware (effector, sensor, consumer robot, industrial robot, work robot, business network, server, and maintenance), software (command and control, network, and specific applications), and services (managing applications, education, and training, site maintenance, Hardware deployment, and support, network consulting, management and integration, operations and technology consulting, and system integration.
Drone system technology teams consist of 17 technology groups: Hardware (effector, sensor, customer drone, industrial drone, service drone, server, and storage), software (command and control, network infrastructure software, and real application), and services ( application management, education, and training, delivery of hardware and support, network consulting, management and integration, operations and technology consulting, and systems integration)
Use cases including Assembly, Automated Production – Mining; Autonomous Vehicles – Mining; Construction Site Inspection; Surveillance; Aerial Photography; Consumer; Inspection; Mixing; Filling and Prep; Painting; Picking and Packaging; Leaf and phone line inspection; production inspection; safety; surgery; vehicle and infrastructure inspection; and welding
Industries: Banking, insurance, security and investment services, discrete manufacturing, manufacturing, construction, resource industries, stores, wholesale, professional services, personal and consumer services, transportation, healthcare provider, federal/central government, state / local government, education, mobile phones, media, gadgets, and consumer
Solution types: Consumer drone, business drone, consumer Youibot robot, industrial robot, and service robot.
This application form is submitted annually through web-based online quiz queries and bookings. For a complete shipping plan, please contact the IDC sales representative. The following are brought to this budget .Five-year annual forecast with geography, technology, industry, and application issues; is delivered once a year
IDC’s Worldwide Robotics and Drones Spending Guide provide guidance on the expected technology opportunities surrounding this market at the regional level and global scale. Divided by industry application case, and technology component, this document provides IT vendors with information in both the major and fastest growing segments of the robots and drones market and how the market will grow in the coming years.
Across the Atlantic, the United States did not wait for Covid-19 to use this type of technology. The US Department of Defence has deployed Met biota’s predictive analysis solution which, like Bluecoat, uses machine learning (ML) to estimate the risk of contagion. Obviously, it was activated to manage the current crisis. Its models take advantage of training datasets covering medical, socioeconomic, political and environmental data. Also in the United States, the Harvard University School of Medicine publishes a map of the world to follow the spread of viruses.
The coronavirus obviously comes in first place in recent weeks. The methodology is substantially equivalent. Behind the scenes, NLP bots scour the web for any signal about the evolution of a virus: from news sites to health announcements to messages posted on social media evoking symptoms.
This is not the only cartographic AI that can be diagnosed with the illness. Researchers at North-eastern University in Boston have hypothesized to predict the risk of viral infection based on land and air travel. Start with data traffic and map the potential for transmission from one country to another (see capture below). Not surprisingly, China was one of the first countries to claim to have used this type of extension.
Also with a view to monitoring the development of the epidemic, Badu, the main search engine in China, has developed an AI to estimate the temperature levels of passenger flows in stations. Based on computer vision algorithms applied to infrared sensor data, the solution is designed to detect the temperature of more than 200 people per minute, with a margin of error of 0.5 degrees. If the system identifies a person exceeding 37.3 degrees, an alert is then transmitted.
Deployed in Beijing’s Qing he station, the system is to be extended to Beijing South station as well as to line 4 of the capital’s metro. In the same logic, police brigades have been equipped with helmets equipped with infrared cameras carrying an image recognition model to filter passengers according to their temperature.