The global depth sensing market reached a valuation of US$ 10.3 billion in 2022. Between 2022 and 2032, global depth sensing demand will rise at 4.5% CAGR. By the end of 2032, the global market will reach about US$ 16.1 billion.
Demand for camera/lens modules in the global depth sensing industry remains high. As per Future Market Insights (FMI), the target segment will progress at 4.4% through 2032. Hence, it will remain the top revenue-generation segment in the market.
Key Growth Shaping Factors:
A process used to measure depth and distance between objects is known as depth sensing. This is done by using various depth-sensing technologies. These technologies allow machines and devices to sense their surroundings.
A few of the most widely used depth sensing technologies include stereo vision, structured light, and time of flight. Products such as depth-sensing cameras automatically detect the presence of nearby objects and measure the distances to them.
The booming consumer electronics sector and the growing adoption of AR and VR in the gaming industry are expected to boost the global depth sensing industry.
With rapid digitalization and the high penetration of 5G technology, the adoption of smartphones is skyrocketing. This will continue to boost the global depth-sensing market as depth-sensing technologies are being integrated into smartphones.
Growing demand for security and surveillance systems across the military & defense sectors will further elevate depth sensing demand. This is because depth-sensing technologies are being used in several modern security and surveillance systems.
Besides this, widening applications in automotive, medical devices, robotics, etc. will create growth prospects for the depth sensing industry.
Asia Pacific currently dominates the global depth-sensing industry and the trend is likely to continue through 2032. This is due to the heavy presence of leading smartphone manufacturing companies in the region.
China is a significant manufacturer of smartphones in the world. China, Vietnam, and South Korea also produce many smartphones. With the rise in the adoption of smartphones and advancements in depth-sensing technologies, the Asia Pacific market will expand at a robust pace.
Attributes | Key Insights |
---|---|
Depth Sensing Market Size in 2022 | US$ 10.3 billion |
Projected Market Value (2032) | US$ 16.1 billion |
Value-based CAGR (2022 to 2032) | 4.5% |
USA Market CAGR (2022 to 2032) | 3.4 % |
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As per Future Market Insights (FMI), global depth sensing demand increased at around 5.4% CAGR from 2017 to 2021. Over the next ten years, the global market is set to expand at 4.5% CAGR. The worldwide market for depth sensing will create an absolute $ opportunity of US$ 5.8 billion by 2032.
Widening applications of depth sensing across various industries will drive the global market forward.
Depth sensors are used in a wide variety of applications. This includes machine interfaces, multipoint depth sensing, people counting, and navigation systems for unmanned robotic vehicles.
They are also widely used in smartphones nowadays which is accelerated by the focus on creating AR and VR applications. The market is also being driven by surging demand for devices that implement the technologies such as facial recognition and gesture control and an increased focus on creating AR and VR applications.
Depth sensing technology can also be used in autonomous/self-driving cars for enabling the car to perceive the depth of the surrounding areas such as position, distance, and speed of nearby objects. Hence, the development and popularity of autonomous vehicles will fuel depth-sensing demand.
Depth sensing is also being used in military & defense applications. It is primarily used for surveillance and monitoring enemy activities by the military. The implementation of depth-sensing technology by various militaries across the world is likely to boost sales.
There is also an increase in the use of depth sensing technology within gaming applications where a depth camera is utilized in identifying the gestures that a player makes and uses it to control the character within the game.
There were about 1.4 billion smartphone sales in 2021 and this figure is likely to reach 1.5 billion units by 2028. Rising production and usage of smartphones will continue to create growth opportunities for depth-sensing manufacturers.
Country | United States |
---|---|
Projected CAGR (2022 to 2032) | 3.4% |
Historical CAGR (2017 to 2021) | 2.40% |
Market Value (2032) | US$ 2.2 billion |
Country | United Kingdom |
---|---|
Projected CAGR (2022 to 2032) | 3% |
Historical CAGR (2017 to 2021) | 1% |
Market Value (2032) | US$ 413.4 million |
Country | China |
---|---|
Projected CAGR (2022 to 2032) | 6.0% |
Historical CAGR (2017 to 2021) | 7.40% |
Market Value (2032) | US$ 4.3 billion |
Country | Japan |
---|---|
Projected CAGR (2022 to 2032) | 4.80% |
Historical CAGR (2017 to 2021) | 6.40% |
Market Value (2032) | US$ 2.9 billion |
Country | South Korea |
---|---|
Projected CAGR (2022 to 2032) | 5.00% |
Historical CAGR (2017 to 2021) | 6.80% |
Market Value (2032) | US$ 1.0 billion |
High Adoption of Smartphones to Propel Depth-Sensing Demand in the USA
The USA depth sensing market is expected to reach US$ 2.2 billion by 2032. Between 2022 and 2032, depth sensing demand in the United States will rise at 3.4% CAGR. The USA market will create an absolute $ opportunity of US$ 633.5 million through 2032.
Rising usage of depth sensing technology across defense and consumer electronics sectors is driving the USA market.
In recent years, there has been a rapid increase in smartphone adoption across the United States. This is due to digitalization and penetration of high-speed internet (5G). There were around 296 million smartphone users in the United States in 2020. By the end of 2033, the number of smartphone users is forecast to reach around 347.6 million.
This rise in the number of smartphone users will create the need for depth-sensing technologies. This is because depth sensing is used in facial recognition and gesture control as well as in the camera module of smartphones. Therefore, the market for depth sensing across the USA will expand at a steady pace through 2032.
Growing Applications in Electronics and Automotive Sectors Elevating Depth Sensing Demand in China
As per Future Market Insights (FMI), China will retain its dominance in the depth sensing industry. This is due to rising applications of depth sensing in thriving automotive and electronics industries.
China's depth sensing market grew at 7.4% CAGR from 2017 to 2021. Over the next ten years, depth sensing demand in China is set to rise at 6.0% CAGR. By the end of 2032, China's market size will reach around US$ 4.3 billion.
China is a predominant manufacturer of smartphones in the world. In 2021 around 1.04 billion people in the country owned smartphones. By 2028, this number is projected to increase to about 1.18 billion people.
China also accounts for around 15% of smartphone users in the world. With the rise in demand, the production of smartphones in China will increase. This will boost depth sensor sales which will eventually expand the country’s depth-sensing industry.
Besides this, the rising usage of depth sensing in the automotive industry due to the development of autonomous vehicles will create opportunities for depth sensing companies.
Camera/Lens Module Category to Dominate the Market Through 2032
By component, the market has been segmented into illuminator, sensor, and camera/lens. Among these, the camera/lens module segment will continue to hold a prominent revenue share of the market. This is due to the rising adoption of depth-sensing cameras and lenses in a wide variety of applications.
The camera/lens module segment expanded at a CAGR of 5.1% from 2017 to 2021. The target segment will thrive at 4.4% CAGR between 2022 and 2032 as per Future Market Insights’ analysis.
Time of Flight Will Remains the Most Commonly Used Technology for Depth Sensing
The time-of-flight technology of depth sensing grew at 4.9% CAGR from 2017 to 2021. Over the next ten years, this segment will expand at a CAGR of 4.3%. Hence, time of flight will continue to remain the most popular depth-sensing technology.
Depth sensors such as TOF sensors are widely used in camera/lens modules of smartphones. TOF sensor provides the depth of field to the image captured by the smartphone. These camera modules make use of algorithms as well as a time-of-flight sensor or the TOF sensor.
Using the algorithms and the sensor on the smartphone, the consumer can take a professional-looking picture on his/her smartphone. This has surged the popularity of phone photography all across the world.
With the surge in the popularity of smartphone photography among the population, the market for depth sensors is projected to expand during the assessment period.
Smartphone sales stood at about 1.4 billion in the year 2021. By 2028, the number of smartphones sold is likely to reach 1.5 billion units. This in turn will increase demand for depth sensors such as TOF sensors.
Besides this, the rising usage of TOF sensors in applications such as robot navigation and vehicle monitoring will boost the growth of the target segment.
Key players are focusing on developing advanced depth sensors that can provide reliable as well as accurate data. They are also expanding their production capacities to keep up with the rising demand. Further, to expand their footprint, companies are adopting mergers and collaborations.
Recent Developments:
In May 2022, a new 3D depth-sensing technology was developed by Pmdtechnologies and Infineon for Magic Leap 2.
In November 2018, Intel Corporation launched the depth camera D435i. This camera has advanced depth sensing and tracking abilities that can be used in drones as well as robotics.
In August 2017, to facilitate the development and commercialization of a high-resolution and low-powered active 3D depth-sensing camera system, Qualcomm and Himax technology collaborated.
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Attribute | Details |
---|---|
Estimated Market Size (2022) | US$ 10.3 billion |
Projected Market Size (2032) | US$ 16.1 billion |
Anticipated Growth Rate (2022 to 2032) | 4.5% CAGR |
Forecast Period | 2022 to 2032 |
Historical Data Available for | 2017 to 2021 |
Market Analysis | US$ Million for Value and MT for Volume |
Key Regions Covered | North America; Latin America; Europe; Asia Pacific; and the Middle East & Africa (MEA) |
Key Countries Covered | The United States, Canada, Brazil, Mexico, Germany, United Kingdom, France, Italy, Spain, Nordic, Russia, Poland, China, India, Thailand, Indonesia, Australia and New Zealand, Japan, GCC countries, North Africa, South Africa, and others. |
Key Segments Covered | Type, Technology, Component, and Region |
Key Companies Profiled | Qualcomm, Intel; Sony; Infineon Technologies; Texas Instruments; Creative Technology Ltd.; Stereolabs; Pmdtechnologies AG; Become Bluetechnix GmbH; Espros Photonics Corporation |
Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Drivers Restraints Opportunity Trends Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
The growth potential of the depth sensing market is 4.5% through 2033.
Surging popularity of AR, VR, and autonomous vehicles.
The United States market is expected to expand at a 3.4% CAGR through 2033.
China holds high lucrativeness, demonstrating a CAGR of 6% through 2033.
Camera/lens module is assessed for higher demand through 2033.
1. Executive Summary | Depth Sensing Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2017 to 2021 and Forecast, 2022 to 2032
4.1. Historical Market Size Value (US$ Million) Analysis, 2017 to 2021
4.2. Current and Future Market Size Value (US$ Million) Projections, 2022 to 2032
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2017 to 2021
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2022 to 2032
5.3.1. Active
5.3.2. Passive
5.4. Y-o-Y Growth Trend Analysis By Type, 2017 to 2021
5.5. Absolute $ Opportunity Analysis By Type, 2022 to 2032
6. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Technology
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Technology, 2017 to 2021
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Technology, 2022 to 2032
6.3.1. Stereo Vision
6.3.2. Structured Light
6.3.3. Time of Flight
6.4. Y-o-Y Growth Trend Analysis By Technology, 2017 to 2021
6.5. Absolute $ Opportunity Analysis By Technology, 2022 to 2032
7. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Component
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Component, 2017 to 2021
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2022 to 2032
7.3.1. Camera/Lens Module
7.3.2. Sensor
7.3.3. Illuminator
7.4. Y-o-Y Growth Trend Analysis By Component, 2017 to 2021
7.5. Absolute $ Opportunity Analysis By Component, 2022 to 2032
8. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2017 to 2021
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2022 to 2032
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East & Africa (MEA)
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Type
9.2.3. By Technology
9.2.4. By Component
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Type
9.3.3. By Technology
9.3.4. By Component
9.4. Key Takeaways
10. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Type
10.2.3. By Technology
10.2.4. By Component
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Type
10.3.3. By Technology
10.3.4. By Component
10.4. Key Takeaways
11. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. United Kingdom
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Europe
11.2.2. By Type
11.2.3. By Technology
11.2.4. By Component
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Type
11.3.3. By Technology
11.3.4. By Component
11.4. Key Takeaways
12. Asia Pacific Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
12.2.1. By Country
12.2.1.1. China
12.2.1.2. Japan
12.2.1.3. South Korea
12.2.1.4. Singapore
12.2.1.5. Thailand
12.2.1.6. Indonesia
12.2.1.7. Australia
12.2.1.8. New Zealand
12.2.1.9. Rest of Asia Pacific
12.2.2. By Type
12.2.3. By Technology
12.2.4. By Component
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Type
12.3.3. By Technology
12.3.4. By Component
12.4. Key Takeaways
13. Middle East & Africa Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
13.2.1. By Country
13.2.1.1. GCC Countries
13.2.1.2. South Africa
13.2.1.3. Israel
13.2.1.4. Rest of Middle East & Africa
13.2.2. By Type
13.2.3. By Technology
13.2.4. By Component
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Type
13.3.3. By Technology
13.3.4. By Component
13.4. Key Takeaways
14. Key Countries Market Analysis
14.1. USA
14.1.1. Pricing Analysis
14.1.2. Market Share Analysis, 2022
14.1.2.1. By Type
14.1.2.2. By Technology
14.1.2.3. By Component
14.2. Canada
14.2.1. Pricing Analysis
14.2.2. Market Share Analysis, 2022
14.2.2.1. By Type
14.2.2.2. By Technology
14.2.2.3. By Component
14.3. Brazil
14.3.1. Pricing Analysis
14.3.2. Market Share Analysis, 2022
14.3.2.1. By Type
14.3.2.2. By Technology
14.3.2.3. By Component
14.4. Mexico
14.4.1. Pricing Analysis
14.4.2. Market Share Analysis, 2022
14.4.2.1. By Type
14.4.2.2. By Technology
14.4.2.3. By Component
14.5. Germany
14.5.1. Pricing Analysis
14.5.2. Market Share Analysis, 2022
14.5.2.1. By Type
14.5.2.2. By Technology
14.5.2.3. By Component
14.6. United Kingdom
14.6.1. Pricing Analysis
14.6.2. Market Share Analysis, 2022
14.6.2.1. By Type
14.6.2.2. By Technology
14.6.2.3. By Component
14.7. France
14.7.1. Pricing Analysis
14.7.2. Market Share Analysis, 2022
14.7.2.1. By Type
14.7.2.2. By Technology
14.7.2.3. By Component
14.8. Spain
14.8.1. Pricing Analysis
14.8.2. Market Share Analysis, 2022
14.8.2.1. By Type
14.8.2.2. By Technology
14.8.2.3. By Component
14.9. Italy
14.9.1. Pricing Analysis
14.9.2. Market Share Analysis, 2022
14.9.2.1. By Type
14.9.2.2. By Technology
14.9.2.3. By Component
14.10. China
14.10.1. Pricing Analysis
14.10.2. Market Share Analysis, 2022
14.10.2.1. By Type
14.10.2.2. By Technology
14.10.2.3. By Component
14.11. Japan
14.11.1. Pricing Analysis
14.11.2. Market Share Analysis, 2022
14.11.2.1. By Type
14.11.2.2. By Technology
14.11.2.3. By Component
14.12. South Korea
14.12.1. Pricing Analysis
14.12.2. Market Share Analysis, 2022
14.12.2.1. By Type
14.12.2.2. By Technology
14.12.2.3. By Component
14.13. Singapore
14.13.1. Pricing Analysis
14.13.2. Market Share Analysis, 2022
14.13.2.1. By Type
14.13.2.2. By Technology
14.13.2.3. By Component
14.14. Thailand
14.14.1. Pricing Analysis
14.14.2. Market Share Analysis, 2022
14.14.2.1. By Type
14.14.2.2. By Technology
14.14.2.3. By Component
14.15. Indonesia
14.15.1. Pricing Analysis
14.15.2. Market Share Analysis, 2022
14.15.2.1. By Type
14.15.2.2. By Technology
14.15.2.3. By Component
14.16. Australia
14.16.1. Pricing Analysis
14.16.2. Market Share Analysis, 2022
14.16.2.1. By Type
14.16.2.2. By Technology
14.16.2.3. By Component
14.17. New Zealand
14.17.1. Pricing Analysis
14.17.2. Market Share Analysis, 2022
14.17.2.1. By Type
14.17.2.2. By Technology
14.17.2.3. By Component
14.18. GCC Countries
14.18.1. Pricing Analysis
14.18.2. Market Share Analysis, 2022
14.18.2.1. By Type
14.18.2.2. By Technology
14.18.2.3. By Component
14.19. South Africa
14.19.1. Pricing Analysis
14.19.2. Market Share Analysis, 2022
14.19.2.1. By Type
14.19.2.2. By Technology
14.19.2.3. By Component
14.20. Israel
14.20.1. Pricing Analysis
14.20.2. Market Share Analysis, 2022
14.20.2.1. By Type
14.20.2.2. By Technology
14.20.2.3. By Component
15. Market Structure Analysis
15.1. Competition Dashboard
15.2. Competition Benchmarking
15.3. Market Share Analysis of Top Players
15.3.1. By Regional
15.3.2. By Type
15.3.3. By Technology
15.3.4. By Component
16. Competition Analysis
16.1. Competition Deep Dive
16.1.1. Qualcomm
16.1.1.1. Overview
16.1.1.2. Product Portfolio
16.1.1.3. Profitability by Market Segments
16.1.1.4. Sales Footprint
16.1.1.5. Strategy Overview
16.1.1.5.1. Marketing Strategy
16.1.2. Intel
16.1.2.1. Overview
16.1.2.2. Product Portfolio
16.1.2.3. Profitability by Market Segments
16.1.2.4. Sales Footprint
16.1.2.5. Strategy Overview
16.1.2.5.1. Marketing Strategy
16.1.3. Sony
16.1.3.1. Overview
16.1.3.2. Product Portfolio
16.1.3.3. Profitability by Market Segments
16.1.3.4. Sales Footprint
16.1.3.5. Strategy Overview
16.1.3.5.1. Marketing Strategy
16.1.4. Infineon Technologies
16.1.4.1. Overview
16.1.4.2. Product Portfolio
16.1.4.3. Profitability by Market Segments
16.1.4.4. Sales Footprint
16.1.4.5. Strategy Overview
16.1.4.5.1. Marketing Strategy
16.1.5. Texas Instruments
16.1.5.1. Overview
16.1.5.2. Product Portfolio
16.1.5.3. Profitability by Market Segments
16.1.5.4. Sales Footprint
16.1.5.5. Strategy Overview
16.1.5.5.1. Marketing Strategy
16.1.6. Creative Technology Ltd.
16.1.6.1. Overview
16.1.6.2. Product Portfolio
16.1.6.3. Profitability by Market Segments
16.1.6.4. Sales Footprint
16.1.6.5. Strategy Overview
16.1.6.5.1. Marketing Strategy
16.1.7. Stereolabs
16.1.7.1. Overview
16.1.7.2. Product Portfolio
16.1.7.3. Profitability by Market Segments
16.1.7.4. Sales Footprint
16.1.7.5. Strategy Overview
16.1.7.5.1. Marketing Strategy
16.1.8. Pmdtechnologies AG
16.1.8.1. Overview
16.1.8.2. Product Portfolio
16.1.8.3. Profitability by Market Segments
16.1.8.4. Sales Footprint
16.1.8.5. Strategy Overview
16.1.8.5.1. Marketing Strategy
16.1.9. Become Bluetechnix GmbH
16.1.9.1. Overview
16.1.9.2. Product Portfolio
16.1.9.3. Profitability by Market Segments
16.1.9.4. Sales Footprint
16.1.9.5. Strategy Overview
16.1.9.5.1. Marketing Strategy
16.1.10. Espros Photonics Corporation
16.1.10.1. Overview
16.1.10.2. Product Portfolio
16.1.10.3. Profitability by Market Segments
16.1.10.4. Sales Footprint
16.1.10.5. Strategy Overview
16.1.10.5.1. Marketing Strategy
17. Assumptions & Acronyms Used
18. Research Methodology
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