AI-based Sensors Market Trends, Revenue, Major Players, Share Analysis & Forecast by 2027


Increased adoption of cloud and IoT platforms in end-use industries, rising need for IIoT in manufacturing design, and the advent of technologies like ML, AI, and cloud services will drive the demand.

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The AI-based Sensors Market report further sheds light on the emerging growth opportunities, challenges, market threats, limitations, and factors likely to restrict the growth of the AI-based Sensors market. It provides a comprehensive evaluation of the global AI-based Sensors market from various perspectives to deliver a detailed, informative, and precise analysis of regional growth, competition, and market segmentation, among other factors. Moreover, it also gives an accurate account of the significant breakthroughs and developments that influence the global AI-based Sensors market. It also focuses on both the global as well as the regional expansion of the AI-based Sensors industry to give an overall analysis.

The global AI-based Sensors Market is expected to reach USD 152.55 Billion by 2027, according to a new report by Emergen Research. The demand for the market is mainly driven by the application of artificial intelligence in different sectors, such as entertainment, education, health, transport, and utilities.

Owing to rapid urbanization and digitalization globally, end-user sectors like manufacturing, consumer electronics, and automotive and transport have experienced growth and now rely on technology-driven systems for operating. AI-based sensors are being used across these industries as they help in automating processes, help in maintaining product quality, and help in producing more efficient products.

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The complete regional analysis covers:

  • North America (U.S., Canada, Mexico)
  • Europe (U.K., Italy, Germany, France, Rest of EU)
  • Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
  • Latin America (Chile, Brazil, Argentina, Rest of Latin America)
  • Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Competitive Landscape:

The latest report encases an in-depth summary of the intensely competitive landscape of the global AI-based Sensors market, with systematic profiling of the companies operating across this industry. In this section of the report, experts have listed down the strategic initiatives undertaken by these market rivals for proposed business expansion. Additionally, it highlights the key developments and financial positions of these companies to explain the overall market scenario. The company profiles of the established and new players have also been assessed in the report through effective analytical tools like SWOT analysis.

Key participants include Augury Systems, Glassbeam, Siemens AG, PointGrab, Maana, Tellmeplus, Sentenai, Versos Systems, Tachyus, and United Technology, among others.

Key Highlights from the Report

  • The neural network, in the type segment, is forecasted to grow with a significant CAGR of 37.9% during the forecast period. Consistent development in artificial intelligence is increasing the application of neural networks in sensors. It helps in the assistance of fraud detection in the BFSI and e-commerce sectors.
  • Artificial intelligence for the analysis of sensors enables predictions and classifications by using sensor signals as compared to other physics-based models. This latest innovation can be witnessed in the application of medical diagnosis and predictive management.
  • Artificial intelligence, along with machine learning algorithms, is used in different construction workflows such as quality check, scheduling, issue tracking, safety management, resource, and design management. With the infiltration of COVID-19, AI-based sensors demand is growing in these sectors for remote usage.

Emergen Research has segmented the global AI-based Sensors Market on the basis of type, application, technology, and region:

Type Outlook (Revenue, USD Billion; 2017-2027)

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

Application Outlook (Revenue, USD Billion; 2017-2027)

  Biosensor

  Health Monitoring

  Maintenance and Inspection

  Human-computer interaction

  Others

Technology Outlook (Revenue, USD Billion; 2017-2027)

  Natural Language Processing

  Machine Learning

  Computer Vision

  Context-aware Computing

Key takeaways of the Global AI-based Sensors Market report:

  • The report sheds light on the fundamental AI-based Sensors market drivers, restraints, opportunities, threats, and challenges.
  • It elaborates on the new, promising arenas in the leading AI-based Sensors market regions.
  • It examines the latest research development projects and technological innovations taking place in the key regional segments of AI-based Sensors market
  • The research report reviews the regulatory framework for creating new opportunities in various regions of the AI-based Sensors market

Thank you for reading our report. Customization of the report is available. To know more, please connect with us, and our team will ensure the report is customized as per your requirements.

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