▶ 調査レポート

飛行時間型(ToF)センサのグローバル市場(2023~2028):位相検出型RF変調光源、レンジゲートイメージャー、ダイレクトToFイメージャー

• 英文タイトル:Time-Of-Flight (Tof) Sensor Market - Growth, Trends, Covid-19 Impact, and Forecasts (2023 - 2028)

Mordor Intelligenceが調査・発行した産業分析レポートです。飛行時間型(ToF)センサのグローバル市場(2023~2028):位相検出型RF変調光源、レンジゲートイメージャー、ダイレクトToFイメージャー / Time-Of-Flight (Tof) Sensor Market - Growth, Trends, Covid-19 Impact, and Forecasts (2023 - 2028) / MRC2304G208資料のイメージです。• レポートコード:MRC2304G208
• 出版社/出版日:Mordor Intelligence / 2023年2月
• レポート形態:英文、PDF、100ページ
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レポート概要
Mordor Intelligence社の本調査資料では、世界の飛行時間型(ToF)センサ市場規模が、予測期間中にCAGR17.3%で拡大すると展望しています。本資料は、飛行時間型(ToF)センサの世界市場について調査を行い、市場の現状や動向をまとめています。イントロダクション、調査手法、エグゼクティブサマリー、市場動向、種類別(位相検出型RF変調光源、レンジゲートイメージャー、ダイレクトToFイメージャー)分析、用途別(AR・VR、LiDAR、マシンビジョン、3D画像処理・スキャン、その他)分析、産業別(家電、自動車、エンターテイメント・ゲーム、工業、その他)分析、地域別(アメリカ、カナダ、ドイツ、イギリス、フランス、中国、日本、インド)分析、競争状況、投資分析、市場の将来など、以下の項目を掲載しています。また、主要参入企業として、Texas Instruments Incorporated、STMicroelectronics NV、Infineon Technologies AG、Panasonic Corporation、Sony Corporation、Teledyne Technologies International Corp.、Keyence Corporation、Sharp Corporation、Omron Corporation、Chirp Microsystems Inc. (TDK Corporation)などの情報を含んでいます。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・市場動向
・世界の飛行時間型(ToF)センサ市場規模:種類別
- 位相検出型RF変調光源の市場規模
- レンジゲートイメージャーの市場規模
- ダイレクトToFイメージャーの市場規模
・世界の飛行時間型(ToF)センサ市場規模:用途別
- AR・VRにおける市場規模
- LiDARにおける市場規模
- マシンビジョンにおける市場規模
- 3D画像処理・スキャンにおける市場規模
- その他における市場規模
・世界の飛行時間型(ToF)センサ市場規模:産業別
- 家電における市場規模
- 自動車における市場規模
- エンターテイメント・ゲームにおける市場規模
- 工業における市場規模
- その他における市場規模
・世界の飛行時間型(ToF)センサ市場規模:地域別
- 北米の飛行時間型(ToF)センサ市場規模
アメリカの飛行時間型(ToF)センサ市場規模
カナダの飛行時間型(ToF)センサ市場規模

- ヨーロッパの飛行時間型(ToF)センサ市場規模
イギリスの飛行時間型(ToF)センサ市場規模
フランスの飛行時間型(ToF)センサ市場規模
ドイツの飛行時間型(ToF)センサ市場規模

- アジア太平洋の飛行時間型(ToF)センサ市場規模
中国の飛行時間型(ToF)センサ市場規模
インドの飛行時間型(ToF)センサ市場規模
日本の飛行時間型(ToF)センサ市場規模

- 中南米/中東・アフリカの飛行時間型(ToF)センサ市場規模
- その他地域の飛行時間型(ToF)センサ市場規模
・競争状況
・投資分析
・市場の将来

The Time-of-Flight sensor market is expected to grow at a CAGR of 17.3% during the forecast period. In the coming years, the demand for 3D scanning technology will increase due to its ease of usage. Time-of-flight is an active type of 3D imaging and scanning technology, and with biometric authentication, it is expected to form a new trend in demand for the TOF sensor.

Key Highlights

  • Growing adoption of Machine Vision Systems across various industries drives the market. More general machine vision applications require highly stable and reliable sensory systems. ToF cameras provide a reliable set of depth data, increasing the robustness and flexibility of many surveillance, inspection, and logistics systems.
  • Applications such as automated materials handling (AMH) systems operate at moderate distances of one to three meters and require more accurate measurements of about one to five millimeters. The preference towards single-pixel ToF imagers is highly being adopted for full-field imagers, which are cascaded through modulating elements and are incorporated into the correlation ToF architecture.
  • Moreover, newer ToF sensors consume low power, making them a preferred choice for mobile devices. Also, smartphones and gaming devices have been utilizing 3D ToF cameras for highly realistic augmented/mixed-reality (AR/MR) applications.
  • Though ToF sensors have many benefits, they have limitations too. For instance, when very bright surfaces are located near the ToF sensor, they can scatter too much light into the receiver and create artifacts and unwanted reflections, as the ToF sensor only requires light that has been reflected just once for measurement. Such factors might restrict market growth.
  • With the supply chain disruptions affecting many end-user industries, such as consumer electronics and automotive, the ToF sensor market was significantly impacted in the initial months of the Covid-19 outbreak. However, the rising trends of digitalization brought about by the pandemic have significantly accelerated the demand for many consumer electronic devices, thereby propelling market growth.

Time-of-Flight (TOF) Sensor Market Trends

Lidar in Automotive to Witness Significant Growth

  • LIDAR systems and ToF techniques are vital in providing self-driving cars with a detailed picture of the surrounding. The LIDAR system undertakes with a laser diode or LED directed to emit infrared light. Direct ToF uses short pulses of light measuring the time until each pulse returns to the sensor for measuring the distance to an object. Further, indirect ToF sensors emit a continuous wave of modulated light.
  • Usually, LiDAR uses the dToF measurement technology, which is suitable for short-range and long-range depth sensing applications. On the other hand, iToF is suitable for short-distance depth sensing applications and is mostly used in environments where the sensor is not exposed to direct sunlight.
  • In September 2021, Sony Semiconductor Solutions Corporation announced the upcoming release of the IMX459 stacked SPAD depth sensor for automotive LiDAR applications using the direct Time-of-Flight (dToF) method. The product combines the tiny, 10 μm square single-photon avalanche diode (SPAD) pixels and distance measuring processing circuit onto a single chip, making for a compact 1/2.9-type form factor providing high-precision, high-speed distance measurement.
  • Further, as LiDAR uses high power lasers to achieve the long-range required, so moving to III-V material-based sensor overcomes various issues such as interference and performance, due to its higher QE compared to silicon. Attempts have been made such as using state-of-the-art Si sensors, to extend the light spectrum of ToF sensing to wavelengths beyond 1.1µm Artilux’s GeSi sensor technology is the only silicon-based solution that can operate at wavelengths above 1.1 μm, and thus combines the best features of both silicon-based CMOS sensor and III-V material-based sensor.
  • Moreover, automotive companies are increasingly coming up with innovative technologies in Advanced Driver Assistance Systems (ADAS), using new and affordable sensors. Currently, ADAS based on LIDAR sensors are among the most efficient technologies for autonomous vehicles, with LIDAR systems providing high accuracy, precision in object detection and recognition in ADAS.

Asia-Pacific Accounts to Hold Significant Growth

  • Asia-Pacific is anticipated to grow at a significant growth rate due to rapid industrialization. The easy availability of low-cost labor has led to increased manufacturing of different electronic components and devices in this region, which in turn is anticipated to increase demand for ToF sensors for monitoring and inspection applications in the manufacturing sector.
  • China is the largest producer and exporter of consumer electronics in the world and consequently offers many growth opportunities for the market. Moreover, the electronics manufacturing industry in the region has also continued to maintain steady expansion in recent times. As per a report by the China Academy of Information and Communications Technology, during the two months from January to February 2022, the added value of major electronics manufacturers rose 12.7% year-on-year, compared with the 7.5% growth seen in the overall industrial sector in the country.
  • Moreover, ToF sensors have become commonplace in higher-end smartphones, fulfilling roles such as depth perception in photography or advanced face detection for biometrics. Also, many major smartphone companies in China are expected to adopt the ToF 3D sensing camera technology for rear imaging modules of new and upcoming smartphone models moving ahead.
  • In June 2022, the Centre for Civil Society and Governance of the University of Hong Kong and Meta jointly announced a request for proposals (RFP) for Meta AR/VR Policy Research in the Asia Pacific region. This research initiative invites the region’s academic community to develop solutions-focused research to support the responsible development of augmented reality (AR) and virtual reality (VR) technologies. With ToF sensors being used in a wide range of AR applications, such initiatives are further expected to expand the market growth in the coming years.
  • The steps taken to increase the adoption of autonomous vehicles in the region are further driving the growth of the market. For instance, current law in Japan permits self-driving vehicles up to level 3, and commercial vehicles have been equipped with functions up to that level. Additionally, in August 2022, the Japanese government passed a bill to introduce new rules for next-generation mobility, like unmanned self-driving vehicles, automated delivery robots, and electric kick scooters.

Time-of-Flight (TOF) Sensor Market Competitor Analysis

The time of flight sensor market is fragmented as the number of companies operating in the market increases. Leading players are currently focusing on virtual reality experience through drones providing cost-competitive products to customers. Further players are investing heavily in R&D activities, partnerships, and various start-ups are proliferating in the market, especially in the growing economies.

  • July 2022 – STMicroelectronics introduced its latest FlightSense Time-of-Flight (ToF) multi-zone sensor. Delivered together with a suite of valuable software algorithms, the solution is suitable for user detection, gesture recognition, and intruder alert, specially designed for the PC market.
  • January 2022 – TDK Corporation, the parent company of Chirp Microsystems, launched the Chirp ICU-10201 and ICU-20201, two new high-performance, ultra-low power integrated ultrasonic ToF sensors for short- and long-range detection. The new offering embedded a powerful on-chip processor with high computational power.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support
レポート目次

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS
4.1 Market Overview
4.2 Impact of COVID-19 on the Market
4.3 Market Drivers
4.3.1 Growing Adoption of Machine Vision Systems Across Various Industries
4.3.2 Increasing Demand for Smartphones Enabled with 3D Cameras
4.4 Market Challenges
4.4.1 Limitations of ToF Sensors
4.5 Industry Value Chain Analysis
4.6 Porters Five Forces Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION
5.1 Type
5.1.1 RF-modulated Light Sources with Phase Detectors
5.1.2 Range-gated Imagers
5.1.3 Direct Time-of-Flight Imagers
5.2 Application
5.2.1 Augmented Reality and Virtual Reality
5.2.2 LiDAR
5.2.3 Machine Vision
5.2.4 3D Imaging and Scanning
5.2.5 Robotics and Drone
5.3 End-user Vertical
5.3.1 Consumer Electronics
5.3.2 Automotive
5.3.3 Entertainment and Gaming
5.3.4 Industrial
5.3.5 Healthcare
5.3.6 Other End Users
5.4 Geography
5.4.1 North America
5.4.1.1 United States
5.4.1.2 Canada
5.4.2 Europe
5.4.2.1 Germany
5.4.2.2 United Kingdom
5.4.2.3 France
5.4.2.4 Rest of Europe
5.4.3 Asia-Pacific
5.4.3.1 China
5.4.3.2 Japan
5.4.3.3 India
5.4.3.4 Rest of Asia-Pacific
5.4.4 Latin America
5.4.5 Middle East & Africa

6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Texas Instruments Incorporated
6.1.2 STMicroelectronics NV
6.1.3 Infineon Technologies AG
6.1.4 Panasonic Corporation
6.1.5 Sony Corporation
6.1.6 Teledyne Technologies International Corp.
6.1.7 Keyence Corporation
6.1.8 Sharp Corporation
6.1.9 Omron Corporation
6.1.10 Chirp Microsystems Inc. (TDK Corporation)

7 INVESTMENT ANALYSIS

8 FUTURE OF THE MARKET