The global sensor fusion market is set to achieve an incremental growth of USD 15.7 billion, accelerating at a CAGR of almost 19.6% during the forecast period 2023-2029.
Sensor fusion is the process of merging data from multiple sensors such that to reduce the amount of uncertainty that may be involved in a robot navigation motion or task performing. Sensor fusion helps in building a more accurate world model in order for the robot to navigate and behave more successfully. According to the latest estimates, the global sensor fusion market is set to achieve an incremental growth of USD 15.7 billion, accelerating at a CAGR of almost 19.6% during the forecast period 2023-2029.
The report covers market size and growth, segmentation, regional breakdowns, competitive landscape, trends and strategies for global sensor fusion market. It presents a quantitative analysis of the market to enable stakeholders to capitalize on the prevailing market opportunities. The report also identifies top segments for opportunities and strategies based on market trends and leading competitors’ approaches.
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This industry report offers market estimates and forecasts of the global market, followed by a detailed analysis of the sensor type, technology, end user, and region. The global market for sensor fusion can be segmented by sensor type: camera, radar, and LiDAR sensors, GPS and IMU sensors, inertial combo sensors, temperature and pressure sensor, others. Globally, the camera, radar, and LiDAR sensors segment made up the largest share of the sensor fusion market. Sensor fusion market is further segmented by technology: MEMS (micro-electro-mechanical system), non-MEMS. The MEMS segment captured the largest share of the market in 2022. Based on end user, the sensor fusion market is segmented into: automotive, consumer electronics, healthcare, industrial, others. According to the research, the automotive segment had the largest share in the global sensor fusion market. On the basis of region, the sensor fusion market also can be divided into: Asia Pacific, Europe, North America, Rest of the World (RoW). Asia Pacific held the largest revenue share in 2022.
Market Segmentation
By sensor type: camera, radar, and LiDAR sensors, GPS and IMU sensors, inertial combo sensors, temperature and pressure sensor, others
By technology: MEMS (micro-electro-mechanical system), non-MEMS
By end user: automotive, consumer electronics, healthcare, industrial, others
By region: Asia Pacific, Europe, North America, Rest of the World (RoW)
The report also provides a detailed analysis of several leading sensor fusion market vendors that include aiMotive Ltd., Analog Devices, Inc., BASELABS GmbH, Ceva Inc., Elmos Semiconductor SE, Infineon Technologies AG, Kionix, Inc. (ROHM Co., Ltd.), Microchip Technology Inc., NXP Semiconductors N.V., Robert Bosch GmbH, STMicroelectronics N.V., TDK Corporation (InvenSense, Inc.), TE Connectivity Ltd., among others. In this report, key players and their strategies are thoroughly analyzed to understand the competitive outlook of the market.
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Manmayi Raval
Research Consultant
Scope of the Report
• To analyze and forecast the market size of the global sensor fusion market.
• To classify and forecast the global sensor fusion market based on sensor type, technology, end user, region.
• To identify drivers and challenges for the global sensor fusion market.
• To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the global sensor fusion market.
• To identify and analyze the profile of leading players operating in the global sensor fusion market.
Why Choose This Report
• Gain a reliable outlook of the global sensor fusion market forecasts from 2023 to 2029 across scenarios.
• Identify growth segments for investment.
• Stay ahead of competitors through company profiles and market data.
• The market estimate for ease of analysis across scenarios in Excel format.
• Strategy consulting and research support for three months.
• Print authentication provided for the single-user license.
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