Global Depth Sensing

Depth Sensing Comprehensive Study by Type (1D Depth Sensing, 2D Depth Sensing, 3D Depth Sensing), Application (Automotive, Building Automation, Consumer Electronics, Industrial, Medical), Technology (Stereo Vision, Structured Light, Time-of-Flight), Offering (Hardware (Camera/Lens Module, Sensor, Illuminator), Software) Players and Region - Global Market Outlook to 2028

Depth Sensing Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Depth Sensing
Deep sensing technology is the method of using a depth device to measure the distance to an object. With the assistance of this depth-sensing technology, any target which is a line, dots, even a set of dots creating a region is measured. This is done with the help of 3D depth sensors, additionally referred to as 3D cameras or 3D scanners are the devices that are used for generating depth data from an explicit scene by activity the space between the device and objects before of it. Depth sensing has different applications in defense, security, automotive, construction, etc. for the measurement and precision build or surface recognition purpose.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)


The global market for depth sensing technology is fragmented by the global market players owing to different application in depth-sensing application of military and commercial mode. The emerging players should invest towards R&D for innovations and product development of Depth sensors and software solutions for enhanced depths sensing. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Depth Sensing market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Texas Instruments (United States), Infineon Technologies (Germany), Qualcomm (United States), Occipital (United States), Stereolabs (United States), Creative (Singapore), Pmd technologies (Germany), Sony Depth sensing Solutions (Belgium), Becom Bluetechnix (Austria) and Intel (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Melexis (Belgium), Tower Semiconductor (Israel), Vrmagic (Germany), Aquifi (United States) and Nerian Vision Technologies (Germany).

Segmentation Overview
AMA Research has segmented the market of Global Depth Sensing market by Type (1D Depth Sensing, 2D Depth Sensing and 3D Depth Sensing), Application (Automotive, Building Automation, Consumer Electronics, Industrial and Medical) and Region.



On the basis of geography, the market of Depth Sensing has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). North America,Europe region held largest market share in the year 2022. If we see Market by Technology, the sub-segment i.e. Stereo Vision will boost the Depth Sensing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Offering, the sub-segment i.e. Hardware (Camera/Lens Module, Sensor, Illuminator) will boost the Depth Sensing market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Integration of a 3D Camera Could Be the First Step Toward a New Generation of Enhanced HMI (Human Machine Interface)

Market Growth Drivers:
The Rising Adoption of Dual-Camera Smartphones Along with Accelerating the Consumer

Challenges:
The High Initial Cost of Manufacturing Modules

Restraints:
High Power Consumption for Processing

Opportunities:
Rising Application of Depth-Sensing Technology in AR-VR Gaming to Maintain A Sense of Presence and Rising Application of Biometric Security Application for Face Recognitions

Market Leaders and their expansionary development strategies
In August 2023, Texas Instruments, a leader in advanced sensing technologies, debuted new current sensors to help engineers simplify their designs while improving accuracy. Designed for a broad range of common-mode voltages and temperatures, the new products include a lowest-drift isolated Hall-effect current sensor for high-voltage systems and a portfolio of current shunt monitors that eliminate the need for an external shunt resistor for nonisolated voltage rails.
In 2021, Intel launched RealSense ID, a facial recognition solution based on RealSense depth-sensing technology. This launch is a neural network for face identification, a dedicated system-on-a-chip, and a secure element that encrypts and processes user data.


Key Target Audience
Depth Sensing Technology Provider, Depth Sensor Manufacturer, Software Developer, Research Institutes, End User Industry and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • 1D Depth Sensing
  • 2D Depth Sensing
  • 3D Depth Sensing
By Application
  • Automotive
  • Building Automation
  • Consumer Electronics
  • Industrial
  • Medical
By Technology
  • Stereo Vision
  • Structured Light
  • Time-of-Flight

By Offering
  • Hardware (Camera/Lens Module, Sensor, Illuminator)
  • Software

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. The Rising Adoption of Dual-Camera Smartphones Along with Accelerating the Consumer
    • 3.3. Market Challenges
      • 3.3.1. The High Initial Cost of Manufacturing Modules
    • 3.4. Market Trends
      • 3.4.1. Integration of a 3D Camera Could Be the First Step Toward a New Generation of Enhanced HMI (Human Machine Interface)
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Depth Sensing, by Type, Application, Technology, Offering and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Depth Sensing (Value)
      • 5.2.1. Global Depth Sensing by: Type (Value)
        • 5.2.1.1. 1D Depth Sensing
        • 5.2.1.2. 2D Depth Sensing
        • 5.2.1.3. 3D Depth Sensing
      • 5.2.2. Global Depth Sensing by: Application (Value)
        • 5.2.2.1. Automotive
        • 5.2.2.2. Building Automation
        • 5.2.2.3. Consumer Electronics
        • 5.2.2.4. Industrial
        • 5.2.2.5. Medical
      • 5.2.3. Global Depth Sensing by: Technology (Value)
        • 5.2.3.1. Stereo Vision
        • 5.2.3.2. Structured Light
        • 5.2.3.3. Time-of-Flight
      • 5.2.4. Global Depth Sensing by: Offering (Value)
        • 5.2.4.1. Hardware (Camera/Lens Module, Sensor, Illuminator)
        • 5.2.4.2. Software
      • 5.2.5. Global Depth Sensing Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Depth Sensing: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Texas Instruments (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Infineon Technologies (Germany)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Qualcomm (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Occipital (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Stereolabs (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Creative (Singapore)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Pmd technologies (Germany)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Sony Depth sensing Solutions (Belgium)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Becom Bluetechnix (Austria)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Intel (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Depth Sensing Sale, by Type, Application, Technology, Offering and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Depth Sensing (Value)
      • 7.2.1. Global Depth Sensing by: Type (Value)
        • 7.2.1.1. 1D Depth Sensing
        • 7.2.1.2. 2D Depth Sensing
        • 7.2.1.3. 3D Depth Sensing
      • 7.2.2. Global Depth Sensing by: Application (Value)
        • 7.2.2.1. Automotive
        • 7.2.2.2. Building Automation
        • 7.2.2.3. Consumer Electronics
        • 7.2.2.4. Industrial
        • 7.2.2.5. Medical
      • 7.2.3. Global Depth Sensing by: Technology (Value)
        • 7.2.3.1. Stereo Vision
        • 7.2.3.2. Structured Light
        • 7.2.3.3. Time-of-Flight
      • 7.2.4. Global Depth Sensing by: Offering (Value)
        • 7.2.4.1. Hardware (Camera/Lens Module, Sensor, Illuminator)
        • 7.2.4.2. Software
      • 7.2.5. Global Depth Sensing Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Depth Sensing: by Type(USD Million)
  • Table 2. Depth Sensing 1D Depth Sensing , by Region USD Million (2017-2022)
  • Table 3. Depth Sensing 2D Depth Sensing , by Region USD Million (2017-2022)
  • Table 4. Depth Sensing 3D Depth Sensing , by Region USD Million (2017-2022)
  • Table 5. Depth Sensing: by Application(USD Million)
  • Table 6. Depth Sensing Automotive , by Region USD Million (2017-2022)
  • Table 7. Depth Sensing Building Automation , by Region USD Million (2017-2022)
  • Table 8. Depth Sensing Consumer Electronics , by Region USD Million (2017-2022)
  • Table 9. Depth Sensing Industrial , by Region USD Million (2017-2022)
  • Table 10. Depth Sensing Medical , by Region USD Million (2017-2022)
  • Table 11. Depth Sensing: by Technology(USD Million)
  • Table 12. Depth Sensing Stereo Vision , by Region USD Million (2017-2022)
  • Table 13. Depth Sensing Structured Light , by Region USD Million (2017-2022)
  • Table 14. Depth Sensing Time-of-Flight , by Region USD Million (2017-2022)
  • Table 15. Depth Sensing: by Offering(USD Million)
  • Table 16. Depth Sensing Hardware (Camera/Lens Module, Sensor, Illuminator) , by Region USD Million (2017-2022)
  • Table 17. Depth Sensing Software , by Region USD Million (2017-2022)
  • Table 18. South America Depth Sensing, by Country USD Million (2017-2022)
  • Table 19. South America Depth Sensing, by Type USD Million (2017-2022)
  • Table 20. South America Depth Sensing, by Application USD Million (2017-2022)
  • Table 21. South America Depth Sensing, by Technology USD Million (2017-2022)
  • Table 22. South America Depth Sensing, by Offering USD Million (2017-2022)
  • Table 23. Brazil Depth Sensing, by Type USD Million (2017-2022)
  • Table 24. Brazil Depth Sensing, by Application USD Million (2017-2022)
  • Table 25. Brazil Depth Sensing, by Technology USD Million (2017-2022)
  • Table 26. Brazil Depth Sensing, by Offering USD Million (2017-2022)
  • Table 27. Argentina Depth Sensing, by Type USD Million (2017-2022)
  • Table 28. Argentina Depth Sensing, by Application USD Million (2017-2022)
  • Table 29. Argentina Depth Sensing, by Technology USD Million (2017-2022)
  • Table 30. Argentina Depth Sensing, by Offering USD Million (2017-2022)
  • Table 31. Rest of South America Depth Sensing, by Type USD Million (2017-2022)
  • Table 32. Rest of South America Depth Sensing, by Application USD Million (2017-2022)
  • Table 33. Rest of South America Depth Sensing, by Technology USD Million (2017-2022)
  • Table 34. Rest of South America Depth Sensing, by Offering USD Million (2017-2022)
  • Table 35. Asia Pacific Depth Sensing, by Country USD Million (2017-2022)
  • Table 36. Asia Pacific Depth Sensing, by Type USD Million (2017-2022)
  • Table 37. Asia Pacific Depth Sensing, by Application USD Million (2017-2022)
  • Table 38. Asia Pacific Depth Sensing, by Technology USD Million (2017-2022)
  • Table 39. Asia Pacific Depth Sensing, by Offering USD Million (2017-2022)
  • Table 40. China Depth Sensing, by Type USD Million (2017-2022)
  • Table 41. China Depth Sensing, by Application USD Million (2017-2022)
  • Table 42. China Depth Sensing, by Technology USD Million (2017-2022)
  • Table 43. China Depth Sensing, by Offering USD Million (2017-2022)
  • Table 44. Japan Depth Sensing, by Type USD Million (2017-2022)
  • Table 45. Japan Depth Sensing, by Application USD Million (2017-2022)
  • Table 46. Japan Depth Sensing, by Technology USD Million (2017-2022)
  • Table 47. Japan Depth Sensing, by Offering USD Million (2017-2022)
  • Table 48. India Depth Sensing, by Type USD Million (2017-2022)
  • Table 49. India Depth Sensing, by Application USD Million (2017-2022)
  • Table 50. India Depth Sensing, by Technology USD Million (2017-2022)
  • Table 51. India Depth Sensing, by Offering USD Million (2017-2022)
  • Table 52. South Korea Depth Sensing, by Type USD Million (2017-2022)
  • Table 53. South Korea Depth Sensing, by Application USD Million (2017-2022)
  • Table 54. South Korea Depth Sensing, by Technology USD Million (2017-2022)
  • Table 55. South Korea Depth Sensing, by Offering USD Million (2017-2022)
  • Table 56. Taiwan Depth Sensing, by Type USD Million (2017-2022)
  • Table 57. Taiwan Depth Sensing, by Application USD Million (2017-2022)
  • Table 58. Taiwan Depth Sensing, by Technology USD Million (2017-2022)
  • Table 59. Taiwan Depth Sensing, by Offering USD Million (2017-2022)
  • Table 60. Australia Depth Sensing, by Type USD Million (2017-2022)
  • Table 61. Australia Depth Sensing, by Application USD Million (2017-2022)
  • Table 62. Australia Depth Sensing, by Technology USD Million (2017-2022)
  • Table 63. Australia Depth Sensing, by Offering USD Million (2017-2022)
  • Table 64. Rest of Asia-Pacific Depth Sensing, by Type USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific Depth Sensing, by Application USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific Depth Sensing, by Technology USD Million (2017-2022)
  • Table 67. Rest of Asia-Pacific Depth Sensing, by Offering USD Million (2017-2022)
  • Table 68. Europe Depth Sensing, by Country USD Million (2017-2022)
  • Table 69. Europe Depth Sensing, by Type USD Million (2017-2022)
  • Table 70. Europe Depth Sensing, by Application USD Million (2017-2022)
  • Table 71. Europe Depth Sensing, by Technology USD Million (2017-2022)
  • Table 72. Europe Depth Sensing, by Offering USD Million (2017-2022)
  • Table 73. Germany Depth Sensing, by Type USD Million (2017-2022)
  • Table 74. Germany Depth Sensing, by Application USD Million (2017-2022)
  • Table 75. Germany Depth Sensing, by Technology USD Million (2017-2022)
  • Table 76. Germany Depth Sensing, by Offering USD Million (2017-2022)
  • Table 77. France Depth Sensing, by Type USD Million (2017-2022)
  • Table 78. France Depth Sensing, by Application USD Million (2017-2022)
  • Table 79. France Depth Sensing, by Technology USD Million (2017-2022)
  • Table 80. France Depth Sensing, by Offering USD Million (2017-2022)
  • Table 81. Italy Depth Sensing, by Type USD Million (2017-2022)
  • Table 82. Italy Depth Sensing, by Application USD Million (2017-2022)
  • Table 83. Italy Depth Sensing, by Technology USD Million (2017-2022)
  • Table 84. Italy Depth Sensing, by Offering USD Million (2017-2022)
  • Table 85. United Kingdom Depth Sensing, by Type USD Million (2017-2022)
  • Table 86. United Kingdom Depth Sensing, by Application USD Million (2017-2022)
  • Table 87. United Kingdom Depth Sensing, by Technology USD Million (2017-2022)
  • Table 88. United Kingdom Depth Sensing, by Offering USD Million (2017-2022)
  • Table 89. Netherlands Depth Sensing, by Type USD Million (2017-2022)
  • Table 90. Netherlands Depth Sensing, by Application USD Million (2017-2022)
  • Table 91. Netherlands Depth Sensing, by Technology USD Million (2017-2022)
  • Table 92. Netherlands Depth Sensing, by Offering USD Million (2017-2022)
  • Table 93. Rest of Europe Depth Sensing, by Type USD Million (2017-2022)
  • Table 94. Rest of Europe Depth Sensing, by Application USD Million (2017-2022)
  • Table 95. Rest of Europe Depth Sensing, by Technology USD Million (2017-2022)
  • Table 96. Rest of Europe Depth Sensing, by Offering USD Million (2017-2022)
  • Table 97. MEA Depth Sensing, by Country USD Million (2017-2022)
  • Table 98. MEA Depth Sensing, by Type USD Million (2017-2022)
  • Table 99. MEA Depth Sensing, by Application USD Million (2017-2022)
  • Table 100. MEA Depth Sensing, by Technology USD Million (2017-2022)
  • Table 101. MEA Depth Sensing, by Offering USD Million (2017-2022)
  • Table 102. Middle East Depth Sensing, by Type USD Million (2017-2022)
  • Table 103. Middle East Depth Sensing, by Application USD Million (2017-2022)
  • Table 104. Middle East Depth Sensing, by Technology USD Million (2017-2022)
  • Table 105. Middle East Depth Sensing, by Offering USD Million (2017-2022)
  • Table 106. Africa Depth Sensing, by Type USD Million (2017-2022)
  • Table 107. Africa Depth Sensing, by Application USD Million (2017-2022)
  • Table 108. Africa Depth Sensing, by Technology USD Million (2017-2022)
  • Table 109. Africa Depth Sensing, by Offering USD Million (2017-2022)
  • Table 110. North America Depth Sensing, by Country USD Million (2017-2022)
  • Table 111. North America Depth Sensing, by Type USD Million (2017-2022)
  • Table 112. North America Depth Sensing, by Application USD Million (2017-2022)
  • Table 113. North America Depth Sensing, by Technology USD Million (2017-2022)
  • Table 114. North America Depth Sensing, by Offering USD Million (2017-2022)
  • Table 115. United States Depth Sensing, by Type USD Million (2017-2022)
  • Table 116. United States Depth Sensing, by Application USD Million (2017-2022)
  • Table 117. United States Depth Sensing, by Technology USD Million (2017-2022)
  • Table 118. United States Depth Sensing, by Offering USD Million (2017-2022)
  • Table 119. Canada Depth Sensing, by Type USD Million (2017-2022)
  • Table 120. Canada Depth Sensing, by Application USD Million (2017-2022)
  • Table 121. Canada Depth Sensing, by Technology USD Million (2017-2022)
  • Table 122. Canada Depth Sensing, by Offering USD Million (2017-2022)
  • Table 123. Mexico Depth Sensing, by Type USD Million (2017-2022)
  • Table 124. Mexico Depth Sensing, by Application USD Million (2017-2022)
  • Table 125. Mexico Depth Sensing, by Technology USD Million (2017-2022)
  • Table 126. Mexico Depth Sensing, by Offering USD Million (2017-2022)
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Depth Sensing: by Type(USD Million)
  • Table 138. Depth Sensing 1D Depth Sensing , by Region USD Million (2023-2028)
  • Table 139. Depth Sensing 2D Depth Sensing , by Region USD Million (2023-2028)
  • Table 140. Depth Sensing 3D Depth Sensing , by Region USD Million (2023-2028)
  • Table 141. Depth Sensing: by Application(USD Million)
  • Table 142. Depth Sensing Automotive , by Region USD Million (2023-2028)
  • Table 143. Depth Sensing Building Automation , by Region USD Million (2023-2028)
  • Table 144. Depth Sensing Consumer Electronics , by Region USD Million (2023-2028)
  • Table 145. Depth Sensing Industrial , by Region USD Million (2023-2028)
  • Table 146. Depth Sensing Medical , by Region USD Million (2023-2028)
  • Table 147. Depth Sensing: by Technology(USD Million)
  • Table 148. Depth Sensing Stereo Vision , by Region USD Million (2023-2028)
  • Table 149. Depth Sensing Structured Light , by Region USD Million (2023-2028)
  • Table 150. Depth Sensing Time-of-Flight , by Region USD Million (2023-2028)
  • Table 151. Depth Sensing: by Offering(USD Million)
  • Table 152. Depth Sensing Hardware (Camera/Lens Module, Sensor, Illuminator) , by Region USD Million (2023-2028)
  • Table 153. Depth Sensing Software , by Region USD Million (2023-2028)
  • Table 154. South America Depth Sensing, by Country USD Million (2023-2028)
  • Table 155. South America Depth Sensing, by Type USD Million (2023-2028)
  • Table 156. South America Depth Sensing, by Application USD Million (2023-2028)
  • Table 157. South America Depth Sensing, by Technology USD Million (2023-2028)
  • Table 158. South America Depth Sensing, by Offering USD Million (2023-2028)
  • Table 159. Brazil Depth Sensing, by Type USD Million (2023-2028)
  • Table 160. Brazil Depth Sensing, by Application USD Million (2023-2028)
  • Table 161. Brazil Depth Sensing, by Technology USD Million (2023-2028)
  • Table 162. Brazil Depth Sensing, by Offering USD Million (2023-2028)
  • Table 163. Argentina Depth Sensing, by Type USD Million (2023-2028)
  • Table 164. Argentina Depth Sensing, by Application USD Million (2023-2028)
  • Table 165. Argentina Depth Sensing, by Technology USD Million (2023-2028)
  • Table 166. Argentina Depth Sensing, by Offering USD Million (2023-2028)
  • Table 167. Rest of South America Depth Sensing, by Type USD Million (2023-2028)
  • Table 168. Rest of South America Depth Sensing, by Application USD Million (2023-2028)
  • Table 169. Rest of South America Depth Sensing, by Technology USD Million (2023-2028)
  • Table 170. Rest of South America Depth Sensing, by Offering USD Million (2023-2028)
  • Table 171. Asia Pacific Depth Sensing, by Country USD Million (2023-2028)
  • Table 172. Asia Pacific Depth Sensing, by Type USD Million (2023-2028)
  • Table 173. Asia Pacific Depth Sensing, by Application USD Million (2023-2028)
  • Table 174. Asia Pacific Depth Sensing, by Technology USD Million (2023-2028)
  • Table 175. Asia Pacific Depth Sensing, by Offering USD Million (2023-2028)
  • Table 176. China Depth Sensing, by Type USD Million (2023-2028)
  • Table 177. China Depth Sensing, by Application USD Million (2023-2028)
  • Table 178. China Depth Sensing, by Technology USD Million (2023-2028)
  • Table 179. China Depth Sensing, by Offering USD Million (2023-2028)
  • Table 180. Japan Depth Sensing, by Type USD Million (2023-2028)
  • Table 181. Japan Depth Sensing, by Application USD Million (2023-2028)
  • Table 182. Japan Depth Sensing, by Technology USD Million (2023-2028)
  • Table 183. Japan Depth Sensing, by Offering USD Million (2023-2028)
  • Table 184. India Depth Sensing, by Type USD Million (2023-2028)
  • Table 185. India Depth Sensing, by Application USD Million (2023-2028)
  • Table 186. India Depth Sensing, by Technology USD Million (2023-2028)
  • Table 187. India Depth Sensing, by Offering USD Million (2023-2028)
  • Table 188. South Korea Depth Sensing, by Type USD Million (2023-2028)
  • Table 189. South Korea Depth Sensing, by Application USD Million (2023-2028)
  • Table 190. South Korea Depth Sensing, by Technology USD Million (2023-2028)
  • Table 191. South Korea Depth Sensing, by Offering USD Million (2023-2028)
  • Table 192. Taiwan Depth Sensing, by Type USD Million (2023-2028)
  • Table 193. Taiwan Depth Sensing, by Application USD Million (2023-2028)
  • Table 194. Taiwan Depth Sensing, by Technology USD Million (2023-2028)
  • Table 195. Taiwan Depth Sensing, by Offering USD Million (2023-2028)
  • Table 196. Australia Depth Sensing, by Type USD Million (2023-2028)
  • Table 197. Australia Depth Sensing, by Application USD Million (2023-2028)
  • Table 198. Australia Depth Sensing, by Technology USD Million (2023-2028)
  • Table 199. Australia Depth Sensing, by Offering USD Million (2023-2028)
  • Table 200. Rest of Asia-Pacific Depth Sensing, by Type USD Million (2023-2028)
  • Table 201. Rest of Asia-Pacific Depth Sensing, by Application USD Million (2023-2028)
  • Table 202. Rest of Asia-Pacific Depth Sensing, by Technology USD Million (2023-2028)
  • Table 203. Rest of Asia-Pacific Depth Sensing, by Offering USD Million (2023-2028)
  • Table 204. Europe Depth Sensing, by Country USD Million (2023-2028)
  • Table 205. Europe Depth Sensing, by Type USD Million (2023-2028)
  • Table 206. Europe Depth Sensing, by Application USD Million (2023-2028)
  • Table 207. Europe Depth Sensing, by Technology USD Million (2023-2028)
  • Table 208. Europe Depth Sensing, by Offering USD Million (2023-2028)
  • Table 209. Germany Depth Sensing, by Type USD Million (2023-2028)
  • Table 210. Germany Depth Sensing, by Application USD Million (2023-2028)
  • Table 211. Germany Depth Sensing, by Technology USD Million (2023-2028)
  • Table 212. Germany Depth Sensing, by Offering USD Million (2023-2028)
  • Table 213. France Depth Sensing, by Type USD Million (2023-2028)
  • Table 214. France Depth Sensing, by Application USD Million (2023-2028)
  • Table 215. France Depth Sensing, by Technology USD Million (2023-2028)
  • Table 216. France Depth Sensing, by Offering USD Million (2023-2028)
  • Table 217. Italy Depth Sensing, by Type USD Million (2023-2028)
  • Table 218. Italy Depth Sensing, by Application USD Million (2023-2028)
  • Table 219. Italy Depth Sensing, by Technology USD Million (2023-2028)
  • Table 220. Italy Depth Sensing, by Offering USD Million (2023-2028)
  • Table 221. United Kingdom Depth Sensing, by Type USD Million (2023-2028)
  • Table 222. United Kingdom Depth Sensing, by Application USD Million (2023-2028)
  • Table 223. United Kingdom Depth Sensing, by Technology USD Million (2023-2028)
  • Table 224. United Kingdom Depth Sensing, by Offering USD Million (2023-2028)
  • Table 225. Netherlands Depth Sensing, by Type USD Million (2023-2028)
  • Table 226. Netherlands Depth Sensing, by Application USD Million (2023-2028)
  • Table 227. Netherlands Depth Sensing, by Technology USD Million (2023-2028)
  • Table 228. Netherlands Depth Sensing, by Offering USD Million (2023-2028)
  • Table 229. Rest of Europe Depth Sensing, by Type USD Million (2023-2028)
  • Table 230. Rest of Europe Depth Sensing, by Application USD Million (2023-2028)
  • Table 231. Rest of Europe Depth Sensing, by Technology USD Million (2023-2028)
  • Table 232. Rest of Europe Depth Sensing, by Offering USD Million (2023-2028)
  • Table 233. MEA Depth Sensing, by Country USD Million (2023-2028)
  • Table 234. MEA Depth Sensing, by Type USD Million (2023-2028)
  • Table 235. MEA Depth Sensing, by Application USD Million (2023-2028)
  • Table 236. MEA Depth Sensing, by Technology USD Million (2023-2028)
  • Table 237. MEA Depth Sensing, by Offering USD Million (2023-2028)
  • Table 238. Middle East Depth Sensing, by Type USD Million (2023-2028)
  • Table 239. Middle East Depth Sensing, by Application USD Million (2023-2028)
  • Table 240. Middle East Depth Sensing, by Technology USD Million (2023-2028)
  • Table 241. Middle East Depth Sensing, by Offering USD Million (2023-2028)
  • Table 242. Africa Depth Sensing, by Type USD Million (2023-2028)
  • Table 243. Africa Depth Sensing, by Application USD Million (2023-2028)
  • Table 244. Africa Depth Sensing, by Technology USD Million (2023-2028)
  • Table 245. Africa Depth Sensing, by Offering USD Million (2023-2028)
  • Table 246. North America Depth Sensing, by Country USD Million (2023-2028)
  • Table 247. North America Depth Sensing, by Type USD Million (2023-2028)
  • Table 248. North America Depth Sensing, by Application USD Million (2023-2028)
  • Table 249. North America Depth Sensing, by Technology USD Million (2023-2028)
  • Table 250. North America Depth Sensing, by Offering USD Million (2023-2028)
  • Table 251. United States Depth Sensing, by Type USD Million (2023-2028)
  • Table 252. United States Depth Sensing, by Application USD Million (2023-2028)
  • Table 253. United States Depth Sensing, by Technology USD Million (2023-2028)
  • Table 254. United States Depth Sensing, by Offering USD Million (2023-2028)
  • Table 255. Canada Depth Sensing, by Type USD Million (2023-2028)
  • Table 256. Canada Depth Sensing, by Application USD Million (2023-2028)
  • Table 257. Canada Depth Sensing, by Technology USD Million (2023-2028)
  • Table 258. Canada Depth Sensing, by Offering USD Million (2023-2028)
  • Table 259. Mexico Depth Sensing, by Type USD Million (2023-2028)
  • Table 260. Mexico Depth Sensing, by Application USD Million (2023-2028)
  • Table 261. Mexico Depth Sensing, by Technology USD Million (2023-2028)
  • Table 262. Mexico Depth Sensing, by Offering USD Million (2023-2028)
  • Table 263. Research Programs/Design for This Report
  • Table 264. Key Data Information from Secondary Sources
  • Table 265. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Depth Sensing: by Type USD Million (2017-2022)
  • Figure 5. Global Depth Sensing: by Application USD Million (2017-2022)
  • Figure 6. Global Depth Sensing: by Technology USD Million (2017-2022)
  • Figure 7. Global Depth Sensing: by Offering USD Million (2017-2022)
  • Figure 8. South America Depth Sensing Share (%), by Country
  • Figure 9. Asia Pacific Depth Sensing Share (%), by Country
  • Figure 10. Europe Depth Sensing Share (%), by Country
  • Figure 11. MEA Depth Sensing Share (%), by Country
  • Figure 12. North America Depth Sensing Share (%), by Country
  • Figure 13. Global Depth Sensing share by Players 2022 (%)
  • Figure 14. Global Depth Sensing share by Players (Top 3) 2022(%)
  • Figure 15. Global Depth Sensing share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Texas Instruments (United States) Revenue, Net Income and Gross profit
  • Figure 18. Texas Instruments (United States) Revenue: by Geography 2022
  • Figure 19. Infineon Technologies (Germany) Revenue, Net Income and Gross profit
  • Figure 20. Infineon Technologies (Germany) Revenue: by Geography 2022
  • Figure 21. Qualcomm (United States) Revenue, Net Income and Gross profit
  • Figure 22. Qualcomm (United States) Revenue: by Geography 2022
  • Figure 23. Occipital (United States) Revenue, Net Income and Gross profit
  • Figure 24. Occipital (United States) Revenue: by Geography 2022
  • Figure 25. Stereolabs (United States) Revenue, Net Income and Gross profit
  • Figure 26. Stereolabs (United States) Revenue: by Geography 2022
  • Figure 27. Creative (Singapore) Revenue, Net Income and Gross profit
  • Figure 28. Creative (Singapore) Revenue: by Geography 2022
  • Figure 29. Pmd technologies (Germany) Revenue, Net Income and Gross profit
  • Figure 30. Pmd technologies (Germany) Revenue: by Geography 2022
  • Figure 31. Sony Depth sensing Solutions (Belgium) Revenue, Net Income and Gross profit
  • Figure 32. Sony Depth sensing Solutions (Belgium) Revenue: by Geography 2022
  • Figure 33. Becom Bluetechnix (Austria) Revenue, Net Income and Gross profit
  • Figure 34. Becom Bluetechnix (Austria) Revenue: by Geography 2022
  • Figure 35. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 36. Intel (United States) Revenue: by Geography 2022
  • Figure 37. Global Depth Sensing: by Type USD Million (2023-2028)
  • Figure 38. Global Depth Sensing: by Application USD Million (2023-2028)
  • Figure 39. Global Depth Sensing: by Technology USD Million (2023-2028)
  • Figure 40. Global Depth Sensing: by Offering USD Million (2023-2028)
  • Figure 41. South America Depth Sensing Share (%), by Country
  • Figure 42. Asia Pacific Depth Sensing Share (%), by Country
  • Figure 43. Europe Depth Sensing Share (%), by Country
  • Figure 44. MEA Depth Sensing Share (%), by Country
  • Figure 45. North America Depth Sensing Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Texas Instruments (United States)
  • Infineon Technologies (Germany)
  • Qualcomm (United States)
  • Occipital (United States)
  • Stereolabs (United States)
  • Creative (Singapore)
  • Pmd technologies (Germany)
  • Sony Depth sensing Solutions (Belgium)
  • Becom Bluetechnix (Austria)
  • Intel (United States)
Additional players considered in the study are as follows:
Melexis (Belgium) , Tower Semiconductor (Israel) , Vrmagic (Germany) , Aquifi (United States) , Nerian Vision Technologies (Germany)
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Key Highlights of Report


Dec 2023 242 Pages 60 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Depth Sensing Quantitative research analysis
Global Depth Sensing Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Texas Instruments (United States), Infineon Technologies (Germany), Qualcomm (United States), Occipital (United States), Stereolabs (United States), Creative (Singapore), Pmd technologies (Germany), Sony Depth sensing Solutions (Belgium), Becom Bluetechnix (Austria) and Intel (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Integration of a 3D Camera Could Be the First Step Toward a New Generation of Enhanced HMI (Human Machine Interface)" is seen as one of major influencing trends for Depth Sensing Market during projected period 2022-2028.
The Depth Sensing market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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