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Global Artificial Intelligence Sensors Market (By Technology Type- Neural Networks, Case- Based Reasoning, Inductive Learning, Ambient- Intelligence and Others. By Application- Health Monitoring, Maintenance & Inspection, Biosenor, Human- Computer Interaction and Others) – Global Industry Analysis, Size, Share, Growth, Trends and Forecast, 2017 – 2025

Published Date : June 2018 | Report Id : ESC 120 | Format : Word PDF, PPT PDF, Excel | Slides : 150
Report Type : Syndicate Report

Sensors and Artificial Intelligence (AI) has a mutually beneficial relationship with one another. The sensor system can be improved with the help of artificial intelligence. Artificial intelligence is presently transforming diverse aspects of our society radically. A sensor is a device that can detect changes in the environment, and then generate a signal based on such changes. Many sensors are developed to detect changes in their environments. Sensors are often used with software and network connectivity to enable objects to collect and exchange data. There are some artificial intelligence tools that are proven to be beneficial with sensor systems. Some of them are a knowledge-based system, fuzzy logic, automatic knowledge acquisition, neural networks, genetic algorithms, case-based reasoning, and ambient intelligence. Artificial intelligence sensor systems are designed which are helpful in various applications such as in data mining techniques, where it can detect any faults with the power of its sensing system. Smarter sensor systems are extremely useful in the modern world due to its high reliability and performance, and hence the demand for the global artificial intelligence sensors is expected to make the market more demanding during the estimated period of 2017- 2025.


The global artificial intelligence sensors market is propelled by the rise of AI in new markets like India where human resource cost is low and it helps the manufacturer to invest more in developing the new product of artificial sensors. It is to be noted that innovation of competitive sensors systems and their applications are the major factor for making the market more demanding in the estimated period. Rising commercial spaces along with smart buildings and digital health monitoring startup are also attributing to the growth of the global artificial sensors market. Increasing adoption of artificial sensors for identifying the internal faults and changes happening in an environment are the key drivers which are ensuring the growth of the artificial sensors market in the near future. Growing accuracy and reliability of artificial intelligence sensors systems, increasing the need for the internet of things and need for fraud detecting solutions among the end- user is expected to make a positive impact on the global artificial intelligence sensors market.


The global artificial intelligence sensors market in the report is segmented by technology type which includes neural networks, case-based reasoning, Inductive learning, ambient- intelligence, and others. Based on application, the market has been analyzed as health monitoring, maintenance & inspection, biosensor, human-computer interaction, and others. Geographically, a market is further segmented into North America, Europe, Asia-Pacific, Middle East and Africa and Latin America.


Among the other regions, Asia-Pacific holds the largest market share, followed by Europe, and North America market. Presence of large manufacturing industries in China, India, Japan and South Korea has increased the demand for artificial intelligence sensors market in this region. The rapid growth of application of artificial intelligence sensors product in countries like Brazil and Chile creates a high demand for artificial intelligence sensors in Latin-America region.


However, data security concern and lack of awareness among the consumer may impose a restriction on the growth of a global artificial intelligence sensors market during the projected period.


Some of the major players in the global artificial intelligence sensors include Augury Systems, Building Robotics, Glass beam, Maana, Point Grab, Sentai, tell me plus, tachyons, Versos Systems, and United Technology.


Global Artificial Intelligence Sensors Market: By Technology Type

  • Neural networks
  • Case-based reasoning
  • Inductive learning
  • Ambient- Intelligence
  • Others

Global Artificial Intelligence Sensors Market: By Application

  • Health monitoring
  • Maintenance& inspection
  • Biosensor
  • Human-computer interaction
  • Others

Global Artificial Intelligence Sensors Market: By Geography

  • North America
    • The U.S.
    • Canada
    • Mexico
  • Europe
    • U.K.
    • France
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • India
    • China
    • Japan
    • Rest of Asia Pacific
  • The Middle East and Africa
    • South Africa
    • Rest of the Middle East and Africa
  • Latin America
    • Brazil
    • Rest of Latin America
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