Artificial Intelligence (AI) Sensor Market Size, Share, Report 2023-2032
The global artificial intelligence (AI) sensor market size was estimated at around USD 2.54 billion in 2022 and it is projected to hit around USD 94.9 billion by 2032, growing at a CAGR of 43.63% from 2023 to 2032. The artificial intelligence (AI) sensor market in the United States was accounted for USD 513.8 million in 2022.
Key Pointers
Report Scope of the Artificial Intelligence (AI) Sensor Market
| Report Coverage | Details |
| Revenue Share of North America in 2022 | 41% |
| CAGR of Asia Pacific from 2023 to 2032 | 52.83% |
| Revenue Forecast by 2032 | USD 94.9 billion |
| Growth Rate from 2023 to 2032 | CAGR of 43.63% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Market Analysis (Terms Used) | Value (US$ Million/Billion) or (Volume/Units) |
| Companies Covered | ACI Worldwide; Baidu, Inc.; BAE Systems; LexisNexis Risk Solutions; Oracle Corporation; Robert Bosch GmbH; Sensata Technologies, Inc.; Sensirion AG; Silicon Sensing Systems Limited; Sony Corporation; SAS Institute; Teledyne Technologies Incorporated |
The rising demand for life-saving healthcare equipment and self-driving capabilities in new electric vehicles are the factors anticipated to drive the growth. The shift in focus on digitization worldwide is anticipated to further fuel the growth. Major technology companies, like Apple Inc.; Google LLC; Microsoft Corporation; and IBM Corporation are increasing their investments in developing various AI applications. Increasing initiatives by tech companies to expand access to artificial intelligence (AI) will boost market growth throughout the forecast period.
The growing proliferation of IoT devices and connected systems fuels the demand for AI sensors. AI sensors are crucial in collecting and analyzing data from IoT devices, enabling intelligent decision-making, automation, and predictive analytics. Moreover, continuous advancements in AI algorithms, machine learning, and sensor technologies are key growth drivers for the artificial intelligence sensor market. These advancements contribute to the development of more capable and efficient AI sensors, enabling a wide range of applications across industries.
The healthcare sector is a significant market growth driver. AI sensors are used for remote patient monitoring, early disease detection, personalized medicine, and healthcare robotics. For example, AI sensors integrated with imaging devices can assist in detecting cancer, tumors, and other abnormalities, leading to earlier interventions and improved patient outcomes. Furthermore, the popularity of wearable health devices equipped with AI sensors has grown significantly. These devices, such as fitness trackers, smartwatches, and wearable ECG monitors, provide real-time health data to individuals, promoting self-monitoring and proactive health management.
Government policies, funding initiatives, and collaborations are crucial in shaping the growth and adoption of AI sensors worldwide. For example, The European Union has allocated significant funding for AI-related initiatives, including AI sensors. For instance, the Horizon 2020 program, the EU's largest research and innovation program, has dedicated Euro 1.5 billion to projects related to AI technologies. Additionally, the European Commission has launched the Digital Europe Program, which aims to invest in key digital technologies, including artificial intelligence, supercomputing, advanced digital skills, and cybersecurity.
Technology Insights
The machine learning segment dominates the market with a revenue share of 32% in 2022. This growth is attributed to the enormous availability of data, also called big data. By analyzing large amounts of sensor-generated data, machine learning algorithms can identify correlations, anomalies, and trends that might not be apparent through traditional programming methods. This capability enables more accurate and intelligent decision-making based on sensor inputs. Integrating machine learning with sensors empowers AI systems to learn and adapt over time, improving their performance and capabilities. By leveraging machine learning, AI sensors can become more sophisticated in their ability to understand and interpret sensor data, leading to enhanced automation, intelligent monitoring, and predictive analysis.
The context-aware computing segment is expected to grow at the fastest CAGR during the forecast period. The growth of the context-aware computing segment can be attributed to advancements in sensor technologies that have led to the development of more sophisticated and accurate sensors capable of capturing detailed environmental data. These sensors can collect information such as location, temperature, motion, light, and sound, which is crucial for context-aware computing systems. Furthermore, its ability to leverage sensor data, IoT connectivity, and AI techniques to deliver personalized and adaptive experiences makes it a highly sought-after technology in today's digital landscape.
Sensor Type Insights
The optical sensor segment dominates the market with a revenue share of 21% in 2022. The growing demand for visual data processing and analysis primarily drives the growth. With the increasing adoption of AI technologies and the proliferation of applications relying on computer vision, optical sensors have become essential in capturing and interpreting visual information. Moreover, optical sensors have been widely adopted in various industries and applications, including autonomous vehicles, robotics, industrial automation, healthcare, and consumer electronics.
The ultrasonic sensor segment is expected to grow at the fastest CAGR of 46.23% from 2023 to 2032. The increasing adoption of automation, robotics, and autonomous systems in manufacturing, logistics, and automotive industries is expected to drive the demand for ultrasonic sensors. These sensors play a vital role in obstacle detection, collision avoidance, and proximity sensing, enabling safer and more efficient operations. Moreover, ultrasonic sensors are emerging applications in areas such as healthcare, smart cities, and agricultural automation. For example, in healthcare, ultrasonic sensors can be utilized for non-invasive monitoring, gesture control, and imaging applications.
Application Insights
The smart home automation segment dominates the market with a revenue share of 20% in 2022. The factor attributed to the segment’s growth is the growing demand for home automation solutions as homeowners seek to enhance convenience, energy efficiency, security, and overall comfort within their homes. The smart home automation application refers to using artificial intelligence (AI) sensors in various devices and systems within a smart home environment. AI sensors are advanced sensors that incorporate AI capabilities to enhance automation, data processing, and decision-making within smart home systems.
The robotics segment is expected to grow at a CAGR of 47.14% from 2023 to 2032. Artificial intelligence sensors are becoming more advanced, capable, and affordable. These sensors enable robots to perceive and interpret their surroundings, allowing them to navigate autonomously, avoid obstacles, and interact with objects and humans more effectively. As AI sensor technology continues to evolve, robots are expected to become smarter and more capable, leading to increased adoption in various industries.
Regional Insights
North America dominates the market with a revenue share of 41% in 2022. North America has been a prominent region due to its strong technological infrastructure, presence of key players, and significant investments in research and development. The United States has been a major contributor to the market growth, driven by the presence of tech giants and a thriving startup ecosystem focusing on AI and sensor technologies. The region has also focused on regulations and initiatives to promote ethical AI and data privacy, influencing the adoption and development of AI sensor technologies.
Asia Pacific is expected to grow at the fastest CAGR of 52.83% from 2023 to 2032. The Asia Pacific region has witnessed rapid growth of the market. Countries such as China, Japan, South Korea, and India have been at the forefront of adopting AI technologies and integrating them into various industries. The region's manufacturing capabilities, increasing industrial automation, and growing demand for consumer electronics have contributed to the market's expansion. Moreover, the market continues to evolve, and new regional trends may emerge based on factors such as policy changes, market dynamics, and technological advancements.
Artificial Intelligence (AI) Sensor Market Segmentations:
By Technology
By Sensor Type
By Application
By Regional
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Technology Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) Sensor Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) Sensor Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence (AI) Sensor Market, By Technology
8.1. Artificial Intelligence (AI) Sensor Market, by Technology, 2023-2032
8.1.1 NLP
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Machine Learning
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Computer Vision
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. Context-aware Computing
8.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence (AI) Sensor Market, By Sensor Type
9.1. Artificial Intelligence (AI) Sensor Market, by Sensor Type, 2023-2032
9.1.1. Pressure
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Temperature
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Optical
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Position
9.1.4.1. Market Revenue and Forecast (2020-2032)
9.1.5. Ultrasonic
9.1.5.1. Market Revenue and Forecast (2020-2032)
9.1.6. Motion
9.1.6.1. Market Revenue and Forecast (2020-2032)
9.1.7. Navigation
9.1.7.1. Market Revenue and Forecast (2020-2032)
9.1.8. Others
9.1.8.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence (AI) Sensor Market, By Application
10.1. Artificial Intelligence (AI) Sensor Market, by Application, 2023-2032
10.1.1. Automotive
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Consumer Electronic
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Manufacturing
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Aerospace & Defense
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Robotics
10.1.5.1. Market Revenue and Forecast (2020-2032)
10.1.6. Smart Home Automation
10.1.6.1. Market Revenue and Forecast (2020-2032)
10.1.7. Healthcare
10.1.7.1. Market Revenue and Forecast (2020-2032)
10.1.8. Others
10.1.8.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence (AI) Sensor Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Technology (2020-2032)
11.1.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.1.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.2.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Technology (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.3.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Technology (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Technology (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.5.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Technology (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Technology (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Sensor Type (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Application (2020-2032)
Chapter 12. Company Profiles
12.1. ACI Worldwide
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Baidu, Inc.
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. BAE Systems.
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. LexisNexis Risk Solutions.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Oracle Corporation
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Robert Bosch GmbH
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Sensata Technologies, Inc.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Sensirion AG
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Silicon Sensing Systems Limited.
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Sony Corporation
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers