Global Artificial Intelligence Sensors Market Research Report: By Type (Neural Networks, Case-Based Reasoning, Inductive Learning, and Ambient- Intelligence), By Sensor Type (Pressure Sensors, Position Sensors, Temperature Sensors, Optical Sensors, Ultrasonic Sensors, Motion Sensors, and Navigation Sensors), By Technology (Natural Language Processing, Machine Learning, Computer Vision, and Context-aware Computing), By Application (Automotive, Consumer Electronics, Manufacturing, Aerospace & Defense, Robotics, Smart Home Automation, and Agriculture), and Region (North America, Europe, Asia-Pacific, and Rest of the World) Global Industry Analysis, Size, Share, Growth, Trends, Regional Analysis, Competitor Analysis and Forecast 2023-2031.
The Global Artificial Intelligence Sensors Market was valued at USD 2.92 billion in 2022, and is predicted to reach approximately USD 37.26 billion by 2031, at a CAGR of 32.7% from 2023 to 2031. AI sensors are indispensable elements within AI systems that enable them to perceive and interact with the physical world. These sensors are specifically designed to capture data from a diverse range of sources including cameras, microphones, temperature sensors, proximity sensors, and more. They gather information from visual, auditory, tactile, and environmental inputs, which is subsequently processed by AI algorithms for analysis and decision-making purposes. AI sensors hold a crucial role in various applications such as autonomous vehicles, robotics, smart cities, industrial automation, healthcare, and security systems. In the realm of autonomous vehicles, for instance, sensors like LiDAR and radar facilitate real-time perception of the surroundings, aiding in navigation and object detection. In healthcare, sensors can monitor patient vitals and identify irregularities.
ARTIFICIAL INTELLIGENCE SENSORS MARKET: REPORT SCOPE & SEGMENTATION
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Report Attribute |
Details |
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Estimated Market Value (2022) |
2.92 Bn |
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Projected Market Value (2031) |
37.26 Bn |
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Base Year |
2022 |
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Forecast Years |
2023 - 2031 |
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Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- By Type, By Sensor Type, By Technology, By Application, & Region |
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Segments Covered |
By Type, By Sensor Type, By Technology, By Application, & Region |
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Forecast Units |
Value (USD Billion or Million), and Volume (Units) |
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Quantitative Units |
Revenue in USD million/billion and CAGR from 2023 to 2031 |
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Regions Covered |
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World |
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Countries Covered |
U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others |
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Report Coverage |
Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis. |
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Delivery Format |
Delivered as an attached PDF and Excel through email, according to the purchase option. |
Global Artificial Intelligence Sensors Market Dynamics
The growth and adoption of the artificial intelligence sensors market are propelled by several key factors, due to the increasing demand for AI-driven applications in various sectors such as automotive, healthcare, manufacturing, and consumer electronics drives the market forward. AI sensors play a critical role in enabling these applications to perceive and interact with the environment, thereby enhancing their functionality and capabilities. Furthermore, advancements in sensor technologies are significant drivers of market growth. These advancements encompass miniaturization, improved accuracy, and lower power consumption. They facilitate the integration of sensors into smaller devices while enabling real-time data capture with higher precision. Moreover, there is a notable increase in investments in the research and development of AI sensors.
Global Artificial Intelligence Sensors Market Drivers
The growing adoption of AI-driven applications across multiple sectors, including automotive, healthcare, manufacturing, and consumer electronics, is a significant driver of the AI sensors market. AI sensors enable these applications to perceive and interact with their environment, enhancing their functionality and expanding their capabilities.
Restraints:
The cost of AI sensors can be a significant restraint for widespread adoption, particularly in cost-sensitive markets. The high costs associated with developing and implementing advanced sensor technologies can limit their accessibility, especially for smaller businesses or price-sensitive consumers.
Opportunities:
The automotive industry presents significant opportunities for AI sensors. The increasing adoption of autonomous vehicles and the need for advanced driver assistance systems (ADAS) fuel the demand for AI sensors. These sensors enable real-time perception and decision-making, contributing to enhanced safety and autonomous functionalities.
Segment Overview
By Sensor Type
Based on the sensor type, the global artificial intelligence sensors market is segmented into pressure sensors, position sensors, temperature sensors, optical sensors, ultrasonic sensors, motion sensors, and navigation sensors. The motion sensors segment is dominating the market with the largest revenue share of around 27.3% in 2022. Motion sensors are instrumental in a wide range of applications, including gaming consoles, fitness wearables, security systems, and industrial automation, which drives their demand. These sensors play a crucial role in the precise detection and tracking of movement, enhancing user experiences and safety. The growing adoption of motion-based gestures and controls in consumer electronics, such as smartphones and virtual reality devices, has further accelerated the demand for motion sensors.
By Application
Based on the application, the global artificial intelligence sensors market is segmented into automotive, consumer electronics, manufacturing, aerospace & defense, robotics, smart home automation, and agriculture. The consumer electronics segment is dominating the market with the largest revenue share of around 35.6% in 2022. The demand for AI sensors in the consumer electronics segment has been driven by the growing integration of these sensors into devices such as smartphones, smart speakers, and wearables. This integration has enabled enhanced functionalities like voice recognition, gesture control, and facial recognition, thereby significantly improving user experiences. Furthermore, the increasing popularity of smart homes and Internet of Things (IoT) devices has contributed to the rising demand for AI sensors in consumer electronics.
By Technology
Based on technology, the global artificial intelligence sensors market is segmented into natural language processing, machine learning, computer vision, and context-aware computing. The machine learning segment is dominating the market with the largest revenue share of around 38.2% in 2022. Machine learning algorithms play a pivotal role in analyzing sensor data, extracting patterns, and making predictions. This technology empowers AI systems to learn and enhance their capabilities over time, enabling their effective deployment across diverse applications. The capacity of machine learning to handle complex and extensive datasets, along with advancements in hardware and software, has propelled its widespread adoption.
By Type
Based on type, the global artificial intelligence sensors market is segmented into neural networks, case-based reasoning, inductive learning, and ambient- intelligence. The neural networks segment is anticipated to grow at a higher CAGR of 28.5% during the forecast period. Neural networks have demonstrated significant potential across a range of AI applications, such as image recognition, natural language processing, and predictive analytics. Their capacity to simulate the learning and decision-making processes of the human brain has attracted considerable attention and investment.
Global Artificial Intelligence Sensors Market Overview by Region
By Region, the global artificial intelligence sensors market has been divided into North America, Europe, Asia-Pacific, and the Rest of the World. North America dominated the market with the largest revenue share in 2022.
North America
North America held the largest share, of around 37.6%, of the global market in 2022. North America possesses a formidable technological infrastructure that enables advanced research and development in the field of AI, fostering innovation. The region is host to prominent technology giants and start-ups that prioritize AI, creating a surge in the demand for AI sensors. Furthermore, North America benefits from a thriving ecosystem of industries, including automotive, healthcare, and defense, which heavily rely on AI. These sectors make substantial investments in AI-driven applications, thus driving the demand for AI sensors. Moreover, the region enjoys favorable government initiatives and policies that support AI research and development.
Global Artificial Intelligence Sensors Market Competitive Landscape
In the global artificial intelligence sensors market, a small number of prominent players hold significant market dominance and have established a strong regional presence. These key participants are committed to ongoing research and development initiatives. Additionally, they actively engage in strategic growth endeavors such as product development, product launches, joint ventures, and partnerships. By pursuing these strategies, these companies aim to strengthen their market position and expand their customer base to capture a substantial share of the market.
Some of the prominent players in the global artificial intelligence sensors market include Teledyne Technologies Incorporated, Robert Bosch GmbH, Goertek Inc., Baidu, Inc., Yokogawa Electric Corporation, Excelitas Technologies Corp., Hokuriku Electric Industry Co., Ltd., Sensata Technologies, Inc., Sensirion AG, Sensortek Technology Corporation, Silicon Sensing Systems Limited, and various other key players.
Global Artificial Intelligence Sensors Market Recent Developments
In April 2022, Robert Bosch GmbH enhanced its position in the markets for smart mobility solutions and autonomous cars by purchasing Five AI (France), a firm specializing in self-driving software components and development platforms. This strategic purchase allows Robert Bosch GmbH to solve significant difficulties in the self-driving car industry, boosting its capabilities in the autonomous cars market.
Scope of the Global Artificial Intelligence Sensors Market Report
Artificial Intelligence Sensors Market Report Segmentation
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ATTRIBUTE |
DETAILS |
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By Type |
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By Sensor Type |
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By Technology |
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By Application |
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By Geography |
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Customization Scope |
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Pricing |
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Objectives of the Study
The objectives of the study are summarized in 5 stages. They are as mentioned below:
To identify and estimate the market size for the global artificial intelligence sensors market segmented by type, by sensor type, by technology, by application, region, and by value (in U.S. dollars). Also, to understand the consumption/ demand created by consumers of artificial intelligence sensors between 2019 and 2031.
To identify and infer the drivers, restraints, opportunities, and challenges for the global artificial intelligence sensors market
To find out the factors which are affecting the sales of artificial intelligence sensors among consumers
To identify and understand the various factors involved in the global artificial intelligence sensors market affected by the pandemic
To provide a detailed insight into the major companies operating in the market. The profiling will include the financial health of the company's past 2-3 years with segmental and regional revenue breakup, product offering, recent developments, SWOT analysis, and key strategies.
Intended Audience
Research Methodology
Our research methodology has always been the key differentiating reason which sets us apart in comparison from the competing organizations in the industry. Our organization believes in consistency along with quality and establishing a new level with every new report we generate; our methods are acclaimed and the data/information inside the report is coveted. Our research methodology involves a combination of primary and secondary research methods. Data procurement is one of the most extensive stages in our research process. Our organization helps in assisting the clients to find the opportunities by examining the market across the globe coupled with providing economic statistics for each and every region. The reports generated and published are based on primary & secondary research. In secondary research, we gather data for global Market through white papers, case studies, blogs, reference customers, news, articles, press releases, white papers, and research studies. We also have our paid data applications which includes hoovers, Bloomberg business week, Avention, and others.
Data Collection
Data collection is the process of gathering, measuring, and analyzing accurate and relevant data from a variety of sources to analyze market and forecast trends. Raw market data is obtained on a broad front. Data is continuously extracted and filtered to ensure only validated and authenticated sources are considered. Data is mined from a varied host of sources including secondary and primary sources.
Primary Research
After the secondary research process, we initiate the primary research phase in which we interact with companies operating within the market space. We interact with related industries to understand the factors that can drive or hamper a market. Exhaustive primary interviews are conducted. Various sources from both the supply and demand sides are interviewed to obtain qualitative and quantitative information for a report which includes suppliers, product providers, domain experts, CEOs, vice presidents, marketing & sales directors, Type & innovation directors, and related key executives from various key companies to ensure a holistic and unbiased picture of the market.
Secondary Research
A secondary research process is conducted to identify and collect information useful for the extensive, technical, market-oriented, and comprehensive study of the market. Secondary sources include published market studies, competitive information, white papers, analyst reports, government agencies, industry and trade associations, media sources, chambers of commerce, newsletters, trade publications, magazines, Bloomberg BusinessWeek, Factiva, D&B, annual reports, company house documents, investor presentations, articles, journals, blogs, and SEC filings of companies, newspapers, and so on. We have assigned weights to these parameters and quantified their market impacts using the weighted average analysis to derive the expected market growth rate.
Top-Down Approach & Bottom-Up Approach
In the top – down approach, the Global Batteries for Solar Energy Storage Market was further divided into various segments on the basis of the percentage share of each segment. This approach helped in arriving at the market size of each segment globally. The segments market size was further broken down in the regional market size of each segment and sub-segments. The sub-segments were further broken down to country level market. The market size arrived using this approach was then crosschecked with the market size arrived by using bottom-up approach.
In the bottom-up approach, we arrived at the country market size by identifying the revenues and market shares of the key market players. The country market sizes then were added up to arrive at regional market size of the decorated apparel, which eventually added up to arrive at global market size.
This is one of the most reliable methods as the information is directly obtained from the key players in the market and is based on the primary interviews from the key opinion leaders associated with the firms considered in the research. Furthermore, the data obtained from the company sources and the primary respondents was validated through secondary sources including government publications and Bloomberg.
Market Analysis & size Estimation
Post the data mining stage, we gather our findings and analyze them, filtering out relevant insights. These are evaluated across research teams and industry experts. All this data is collected and evaluated by our analysts. The key players in the industry or markets are identified through extensive primary and secondary research. All percentage share splits, and breakdowns have been determined using secondary sources and verified through primary sources. The market size, in terms of value and volume, is determined through primary and secondary research processes, and forecasting models including the time series model, econometric model, judgmental forecasting model, the Delphi method, among Flywheel Energy Storage. Gathered information for market analysis, competitive landscape, growth trends, product development, and pricing trends is fed into the model and analyzed simultaneously.
Quality Checking & Final Review
The analysis done by the research team is further reviewed to check for the accuracy of the data provided to ensure the clients’ requirements. This approach provides essential checks and balances which facilitate the production of quality data. This Type of revision was done in two phases for the authenticity of the data and negligible errors in the report. After quality checking, the report is reviewed to look after the presentation, Type and to recheck if all the requirements of the clients were addressed.
