Global AI-based Sensors Market Forecast to 2027

The study examines the elements affecting market growth in the AI-based Sensors Market globally and provides precise forecasts of the growth pattern. The essential components of the market, including drivers, restraints, opportunities, threats, risks, constraints, and other variables, are the main focus of the report. A thorough examination of the competitive landscape is included in the research, along with full analyses of the company profiles, product portfolio, and business expansion strategies.

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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Competitive Terrain:

The global AI-based Sensors industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.

The leading market contenders listed in the report are:

Augury Systems, Glassbeam, Siemens Ag, Pointgrab, Maana, Tellmeplus, Sentenai, Versos Systems, Tachyus, United Technology

Research Report on the AI-based Sensors Market Addresses the Following Key Questions:

  • Who are the dominant players of the AI-based Sensors market?
  • Which regional market is anticipated to have a high growth rate over the projected period?
  • What consumer trends and demands are expected to influence the operations of the market players in the AI-based Sensors market?
  • What are the key growth drivers and restraining factors of the AI-based Sensors market?
  • What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
  • What is the overall impact of the COVID-19 pandemic on the AI-based Sensors market and its key segments?

Market Overview:

The report bifurcates the AI-based Sensors market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.

Segments Covered in this report are:

  • 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

Regional Landscape section of the AI-based Sensors report offers deeper insights into the regulatory framework, current and emerging market trends, production and consumption patterns, supply and demand dynamics, import/export, and presence of major players in each region.

The various regions analyzed in the report include:

  • North America (U.S., Canada)
  • 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)

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Some 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.
  • North America held the largest market share of 31.6% in the year 2019, owing to the rapid technological advancements and increasing government investments into the development of artificial intelligence-based sensors. Moreover, the presence of some of the leading players of the market in the region will also drive the growth of the market in the region.

The section on the competitive landscape offers valuable and actionable insights related to the business sphere of the AI-based Sensors market, covering extensive profiling of the key market players. The report offers information about market share, product portfolio, pricing analysis, and strategic alliances such as mergers and acquisitions, joint ventures, collaborations, partnerships, product launches and brand promotions, among others. The report also discusses the initiatives taken by the key companies to combat the impact of the COVID-19 pandemic.

Key Points of the Geographical Analysis:

  • Data and information related to the consumption rate in each region
  • Estimated increase in the consumption rate
  • Proposed growth of the market share of each region
  • Geographical contribution to market revenue
  • Expected growth rate of the regional markets

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