Vancouver, BC -- (SBWire) -- 04/12/2021 --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.
The latest report entails a comprehensive analysis of this particular business vertical while providing precise information related to the different industry segmentations. The report captures the essence of the market, offering details on its different valuations, present scenario, volume consumption, revenue share over the projected period. In addition, the report largely focuses on delivering information regarding the geographical outlook of the global AI-based Sensors market, as well as the companies and organizations dominating the market.
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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.
Key participants include Augury Systems, Glassbeam, Siemens AG, PointGrab, Maana, Tellmeplus, Sentenai, Versos Systems, Tachyus, and United Technology, among others.
AI-based Sensors Market Segmentation:
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
The research study also offers insights into various regulatory frameworks and evaluates the growth of the industry in each key region of the world. The report also provides an assessment of the micro and macro-economic factors influencing the growth of the market in the mentioned regions. The global AI-based Sensors market is segmented into the following based on the key regions of the world:
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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Key Factors influencing market remuneration:
The global AI-based Sensors market report includes a detailed study of the product spectrum of the market and further describes the different product types, including One-sided, Two-sided, and Others.
The report zeroes in on the overall market dynamics and presents information with regard to the producers and distributors, manufacturing cost structure, and downstream buyers.
Details pertaining to the expected growth rate, industry share, revenue accumulated, and product segmentation are depicted in this report.
The application landscape of the global AI-based Sensors market can be categorized into For Human, For Animals, and Others.
The study further examines the industry share and product demand of each application, coupled withthe predicted growth patterns of the various application segments.
Other vital factors, such as market concentration ratio and raw material processing rate, have also been covered under the latest study.
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.3. Methodology
1.4. Research Sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2019-2027
Chapter 3. Key Insights
Chapter 4. AI-based Sensors Market Segmentation & Impact Analysis
4.1. AI-based Sensors Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
4.2.2.1. Growing cases of Human-computer interaction Malpractice
4.2.2.2. Supportive government policies for Human- computer interaction insurance
4.2.3. Market restraints analysis
4.2.3.1. Concerns related policy wording and coverage availability
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter's Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Chapter 5. AI-based Sensors Market By Type Insights & Trends, Revenue (USD Million)
5.1. Type Dynamics & Market Share, 2019 & 2027
5.1.1. Case- based reasoning
5.1.2. Ambient- intelligence
5.1.3. Neural networks
5.1.4. Inductive learning
5.1.5. Others
CONTINUED..!!
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AI-Based Sensors Market Forecast Report : Global Analysis, Demand, Revenue, Competitive Landscape, and Trend Analysis Research Report 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.