Ai Sensor Market

Ai Sensor Market

Artificial Intelligence (AI) Sensor Market Forecasts to 2028 - Global Analysis By Type (Case Based Reasoning, Ambient Intelligence, Neural Networks, Inductive Learning and Other Types), By Sensor Type (Temperature Sensor, Ultrasonic Sensor, Pressure Sensor, Optical Sensor, Position Sensor, Navigation Sensor, Motion Sensor, Flow Sensors and Other Sensor Types), By Technology, By Application, By End User and By Geography

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4.1 (37 reviews)
Published: 2023 ID: SMRC22788

This report covers the impact of COVID-19 on this global market

Years Covered


Estimated Year Value (2022)

US $31.99 BN

Projected Year Value (2028)

US $236.80 BN

CAGR (2022 - 2028)


Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

Asia Pacific

Highest Growing Market

North America

According to Stratistics MRC, the Global AI Sensor Market is accounted for $31.99 billion in 2022 and is expected to reach $236.80 billion by 2028 growing at a CAGR of 39.6% during the forecast period. The ability of a machine to imitate human cognitive processes is known as artificial intelligence (AI). With AI, data may be analysed by the computer at a faster rate than a human to obtain precise insights from the information provided. The software of artificial intelligence (AI) can be included in the current system and process to make or recommend accurate decisions through increased use of information, improving the system and lowering costs. AI sensors are crucial sensors that are used specifically for spotting errors and changes that take place in the AI environment. Deep learning and machine learning AI approaches are enhancing the development of software and services in a variety of industries, including the automotive, BFSI, manufacturing, education, and healthcare sectors.

Market Dynamics:


Digitalization and smart infrastructure to facilitate edge computing growth

Urbanisation and digitalization trends are having a big impact on the development of smart infrastructure. Edge computing is a vital technology that is being used increasingly in smart infrastructure. It makes it possible for smart sensors and other IoT devices to process and analyse data in real-time. Edge computing can reduce latency, boost dependability, and enhance system performance by processing data close to the source. Buildings, transportation networks, energy networks, and other critical infrastructure can all operate better because of modern infrastructure, which makes use of data and technology. Smart infrastructure manages and monitors anything from traffic patterns to energy usage, enabling cities to make more informed decisions and provide better services to their residents. Smart sensors, IoT devices, and other digital technologies are used in this process.


High cost of installation and maintenance

The growth of the AI sensor market is significantly impacted by price. For market participants, the enormous capital requirement for the deployment and maintenance of integrated AI sensors can present challenges. The implementation of AI sensors is more expensive, which restricts the use of these sensors. Additional costs include related software compatibility compliances, software maintenance services, and software solution expenditures. Due to technical and implementation limitations, artificial intelligence is still being developed in some sectors. This could prevent this market from expanding, along with the high ownership costs.


Growing preference for AI-sensor enabled wearables

One of the markets with the highest growth is wearable technology based on AI sensors. The largest market segments are for smartwatches and ear-worn gadgets. The demand for AI sensors will likely boost as wearable technology becomes more widespread. Wearables are growing increasingly popular at a rapid rate as consumers place more and more emphasis on maintaining and enhancing their overall fitness and health, which is also fueling demand for fitness and medical tracking devices. The need for AI sensors is thus increased as a result. These sensors are used in a variety of products, including smart textiles, headbands, neckwear, and advanced electronic watches and wristbands. They are also used in applications like smart glasses and goggles, ring and fingerworn scanners, athletic, fitness, and sports shoes, wristwear, and smart textiles.


Lack of skilled workforce

The need for trained professionals with the knowledge and experience required to create and manage AI sensor systems is increasing quickly, and this is causing a shortage in the market for AI sensors. Companies operating in this industry have a lot of difficulties due to the lack of skilled workers, which may hinder their capacity for innovation and competition. One of the primary causes of this shortage is the fact that the sector is still in its infancy, making it difficult for those who are interested in working in AI sensors to select appropriate educational programmes and training possibilities. However, due to their complexity, these systems demand a wide range of abilities, including proficiency in cognitive computing, machine learning, deep learning, image recognition technologies, data analytics, computer vision, and signal processing.

Covid-19 Impact:

The largest number of advances, notably in the human-machine interface, has been made by AI-based sensors. The most rapid increase in the market was seen in optical sensing, which is driven by image sensors. The COVID-19 epidemic surge has also ramped up the use of AI sensors in a number of industries. The market for AI-based sensors is expected to develop, but to some extent, it will be constrained by the rising threat of hackers and cybercrime as well as the rising cost of technology due to the pandemic.

The consumer electronics segment is expected to be the largest during the forecast period

Because artificial intelligence has grown to be so important in consumer electronics, it is anticipated that the consumer electronics segment will account for the largest market share during the projection period. The various products and services that are benefiting from AI breakthroughs include mobile devices, smart TVs, speakers, virtual personal assistants, distributed sensors, and wearable sensors. Consumer behaviours are shifting, which is changing preferences as a result of increased urbanisation and rising internet use. The consumer electronics sector is growing significantly due to the rising popularity of smart and intelligent products. Furthermore, the accessibility of affordable AI chipsets encourages the use of intelligent products across the consumer electronics sector.

The health monitoring segment is expected to have the highest CAGR during the forecast period

Due to the rising demand for the product among medical professionals, particularly during the pandemic, health monitoring segment had the highest CAGR during the projection period. Telehealth use has increased owing to COVID-19. With the introduction of appropriate AI-based sensors, it is anticipated that remote health will attain all of its potential. Many businesses are investigating his development. Startups like Current Health, Myia, and Biofourmis have created AI and sensor technologies to let physicians conduct detailed remote patient evaluations. A crucial tool in the industry, AI platforms uses software and algorithms to analyse complex data. Additionally, it supports individualised medicine, drug development, treatment, and diagnosis. Moreover, artificial intelligence's use in healthcare is promoting the market for AI-based sensors.

Region with largest share:

With a substantial amount of demand coming from nations like China, Japan, and India, the Asia Pacific region dominates the market for AI sensors across a number of industries, including the consumer electronics, automotive, and manufacturing sectors. Because of its rapidly growing industrial sector and rising usage of smart home technology, China has experienced tremendous growth. However, Japan is anticipated to have rapid growth in the AI sensor market due to its commitment to AI research and development. The Japanese government has started a number of efforts to encourage the use of AI technology in a number of industries, including manufacturing, transportation, and healthcare.

Region with highest CAGR:

Due to the increased sale of household appliances with AI capabilities, the expansion in the North American region is significant. The North American region is therefore attributed to have lucrative growth throughout the extrapolated period. Moreover, the market for AI sensors is expanding due to the widespread use of AI in hospitals, automobiles, educational institutions, and training facilities. The North American AI sensors market is expanding as a result of the major market players' presence in the region. Additionally, the growth of the AI sensor market is also subject to government funding. An executive order for the American AI programme, for instance, was signed by the US president in February 2019. Growing AI research investment, releasing federal AI computing and data resources, establishing AI technical standards, developing America's AI workforce, and other initiatives were highlighted as the five main areas of approach.

Key players in the market

Some of the key players in AI Sensor market include Augury Systems, Glassbeam, IBM Corporation, Infineon Technologies AG, Panasonic Corporation, PointGrab, Qualcomm Technologies, Inc., Robert Bosch GmbH, Sentenai Inc., Siemens AG, Sony Corporation, STMicroelectronics, Tellmeplus, United Technology and Versos Systems .

Key Developments:

In May 2022, Sensata Technologies, Inc. partnered with Nanoprecise (Canada) to launch a new asset monitoring solution that enables predictive maintenance for rotary assets. This partnership will deliver actionable insights to plant managers with the help of Nanoprecise’s AI algorithm, which can extract data from the six sensors offered by the Sensata IQ platform.

In April 2022, Robert Bosch GmbH acquired Five AI (France), which builds self-driving software components and development platforms to combat the biggest problems in the self-driving car space. This acquisition helped Robert Bosch GmbH boost its presence in the smart mobility solutions and autonomous vehicles markets.

In August 2020, Eko built a platform for machine learning and proprietary sensors algorithm, which can monitor a patient’s cardiopulmonary vital signs remotely for the detection of lung and heart problems. The AI is more accurate than a physician with a stethoscope.

In May 2020, Microsoft Solutions and Sony Semiconductor Solutions have entered into a partnership for the development of artificial intelligence-powered smart cameras for ease in access and deployment. Microsoft’s AI capabilities will be installed in Sony’s smart sensor IMX500 for the extraction of images in cameras and other devices.

Types Covered:
• Case Based Reasoning
• Ambient Intelligence
• Neural Networks
• Inductive Learning
• Other Types

Sensor Types Covered:
• Temperature Sensor
• Ultrasonic Sensor
• Pressure Sensor
• Optical Sensor
• Position Sensor
• Navigation Sensor
• Motion Sensor
• Flow Sensors
• Other Sensor Types

Technologies Covered:
• Context Aware Computing
• Machine Learning
• Computer Vision
• Natural Language Processing
• Other Technologies

Applications Covered:
• Robotics
• Agriculture
• Smart Home Automation
• Aerospace & Defense
• Consumer Electronics
• Manufacturing
• Automotive
• Other Applications

End Users Covered:
• Natural Interface
• Cognitive Science
• Biosensor
• Maintenance and Inspection
• Health Monitoring
• Human Computer Interaction
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global AI Sensor Market, By Type
5.1 Introduction
5.2 Case Based Reasoning
5.3 Ambient Intelligence
5.4 Neural Networks
5.5 Inductive Learning
5.6 Other Types

6 Global AI Sensor Market, By Sensor Type
6.1 Introduction
6.2 Temperature Sensor
6.3 Ultrasonic Sensor
6.4 Pressure Sensor
6.5 Optical Sensor
6.6 Position Sensor
6.7 Navigation Sensor
6.8 Motion Sensor
6.9 Flow Sensors
6.10 Other Sensor Types

7 Global AI Sensor Market, By Technology
7.1 Introduction
7.2 Context Aware Computing
7.3 Machine Learning
7.3.1 Deep Learning
7.3.2 Unsupervised Learning
7.3.3 Supervised Learning
7.3.4 Reinforcement Learning
7.3.5 Other Machine Learning Technologies
7.4 Computer Vision
7.5 Natural Language Processing
7.6 Other Technologies

8 Global AI Sensor Market, By Application
8.1 Introduction
8.2 Robotics
8.3 Agriculture
8.4 Smart Home Automation
8.5 Aerospace & Defense
8.6 Consumer Electronics
8.7 Manufacturing
8.8 Automotive
8.9 Other Applications

9 Global AI Sensor Market, By End User
9.1 Introduction
9.2 Natural Interface
9.3 Cognitive Science
9.4 Biosensor
9.5 Maintenance and Inspection
9.6 Health Monitoring
9.7 Human Computer Interaction
9.8 Other End Users

10 Global AI Sensor Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa

11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies

12 Company Profiling
12.1 Augury Systems
12.2 Glassbeam
12.3 IBM Corporation
12.4 Infineon Technologies AG
12.5 Panasonic Corporation
12.6 PointGrab
12.7 Qualcomm Technologies, Inc.
12.8 Robert Bosch GmbH
12.9 Sentenai Inc.
12.10 Siemens AG
12.11 Sony Corporation
12.12 STMicroelectronics
12.13 Tellmeplus
12.14 United Technology
12.15 Versos Systems

List of Tables
1 Global AI Sensor Market Outlook, By Region (2020-2028) ($MN)
2 Global AI Sensor Market Outlook, By Type (2020-2028) ($MN)
3 Global AI Sensor Market Outlook, By Case Based Reasoning (2020-2028) ($MN)
4 Global AI Sensor Market Outlook, By Ambient Intelligence (2020-2028) ($MN)
5 Global AI Sensor Market Outlook, By Neural Networks (2020-2028) ($MN)
6 Global AI Sensor Market Outlook, By Inductive Learning (2020-2028) ($MN)
7 Global AI Sensor Market Outlook, By Other Types (2020-2028) ($MN)
8 Global AI Sensor Market Outlook, By Sensor Type (2020-2028) ($MN)
9 Global AI Sensor Market Outlook, By Temperature Sensor (2020-2028) ($MN)
10 Global AI Sensor Market Outlook, By Ultrasonic Sensor (2020-2028) ($MN)
11 Global AI Sensor Market Outlook, By Pressure Sensor (2020-2028) ($MN)
12 Global AI Sensor Market Outlook, By Optical Sensor (2020-2028) ($MN)
13 Global AI Sensor Market Outlook, By Position Sensor (2020-2028) ($MN)
14 Global AI Sensor Market Outlook, By Navigation Sensor (2020-2028) ($MN)
15 Global AI Sensor Market Outlook, By Motion Sensor (2020-2028) ($MN)
16 Global AI Sensor Market Outlook, By Flow Sensors (2020-2028) ($MN)
17 Global AI Sensor Market Outlook, By Other Sensor Types (2020-2028) ($MN)
18 Global AI Sensor Market Outlook, By Technology (2020-2028) ($MN)
19 Global AI Sensor Market Outlook, By Context Aware Computing (2020-2028) ($MN)
20 Global AI Sensor Market Outlook, By Machine Learning (2020-2028) ($MN)
21 Global AI Sensor Market Outlook, By Deep Learning (2020-2028) ($MN)
22 Global AI Sensor Market Outlook, By Unsupervised Learning (2020-2028) ($MN)
23 Global AI Sensor Market Outlook, By Supervised Learning (2020-2028) ($MN)
24 Global AI Sensor Market Outlook, By Reinforcement Learning (2020-2028) ($MN)
25 Global AI Sensor Market Outlook, By Other Machine Learning Technologies (2020-2028) ($MN)
26 Global AI Sensor Market Outlook, By Computer Vision (2020-2028) ($MN)
27 Global AI Sensor Market Outlook, By Natural Language Processing (2020-2028) ($MN)
28 Global AI Sensor Market Outlook, By Other Technologies (2020-2028) ($MN)
29 Global AI Sensor Market Outlook, By Application (2020-2028) ($MN)
30 Global AI Sensor Market Outlook, By Robotics (2020-2028) ($MN)
31 Global AI Sensor Market Outlook, By Agriculture (2020-2028) ($MN)
32 Global AI Sensor Market Outlook, By Smart Home Automation (2020-2028) ($MN)
33 Global AI Sensor Market Outlook, By Aerospace & Defense (2020-2028) ($MN)
34 Global AI Sensor Market Outlook, By Consumer Electronics (2020-2028) ($MN)
35 Global AI Sensor Market Outlook, By Manufacturing (2020-2028) ($MN)
36 Global AI Sensor Market Outlook, By Automotive (2020-2028) ($MN)
37 Global AI Sensor Market Outlook, By Other Applications (2020-2028) ($MN)
38 Global AI Sensor Market Outlook, By End User (2020-2028) ($MN)
39 Global AI Sensor Market Outlook, By Natural Interface (2020-2028) ($MN)
40 Global AI Sensor Market Outlook, By Cognitive Science (2020-2028) ($MN)
41 Global AI Sensor Market Outlook, By Biosensor (2020-2028) ($MN)
42 Global AI Sensor Market Outlook, By Maintenance and Inspection (2020-2028) ($MN)
43 Global AI Sensor Market Outlook, By Health Monitoring (2020-2028) ($MN)
44 Global AI Sensor Market Outlook, By Human Computer Interaction (2020-2028) ($MN)
45 Global AI Sensor Market Outlook, By Other End Users (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.

Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.

For more details about research methodology, kindly write to us at

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