Sensor fusion is a software that combines the data from different sensors and helps in maintaining the resulting information with less uncertainty. Increasing adoption of smart devices by the consumers, in order to bring changes in lifestyle is one of the major factors for the increasing demand for sensors in devices, thereby increasing the demand for sensor fusion in wearable devices. Hence, this is expected to propel growth of the market over the forecasted period.

Increasing demand for sensor-based applications in smart phones is one of the major factors driving growth of the market

The increasing demand for sensor-based applications in smart phones is one of the major factors driving growth of the market. This is attributed to the rising competition among the smartphone manufactures such as Apple Inc., Samsung Electronics Co., Ltd., and Huawei Technologies Co., who are investing in research and development, in order to develop sensor-based applications that will differentiate their products from the others. This factor is expected to drive growth of the market over the forecast period. For instance, iPhone X launched by Apple uses the front-facing 3D sensor for face ID, which is a facial-recognition system that replaces the fingerprint sensor for unlocking the handset.

Furthermore, smart phones are integrated with different types of sensors such as accelerometer, gyroscope, magnetometer, proximity, and pressure sensors where each sensor generates data individually, thereby increasing the demand for data security. For instance, according to Coherent Market Insights’ analysis, in July 2017, the number of cybercrime cases raised to 84.1% from 68.8%. Cyber Espionage reduced to 10.1% from 15.6% in June whereas Cyber Warfare plummets to 4.3% from 9.4%. Therefore, increasing cases of cybercrime will force the manufactures of smart phones to centralize the data generated by the sensors to strengthen their data security. This is expected to drive growth of the sensor fusion market over the forecast period.

Increasing complexity of the sensor fusion system and software is one of the major factors that hamper growth of the market

The rising complexity in the algorithm of sensor fusion system and software, which will, in turn increase the software overhead expenses and additional processing capabilities is one of the major factors that is expected to hamper growth of the market over the forecast period.

Non-MEMS segment is projected to exhibit highest CAGR over the forecast period.

On the basis of technology, non- MEMS segment is expected to exhibit highest CAGR during the forecast period, owing to the rising demand for image and radar based products to improve the safety system in the vehicles, as the level of complexity is very high while integrating it to automotive applications such as lights and engine when compared to the other sensors. Therefore, this factor is expected to propel growth of the market during the forecast period.

Global Sensor Fusion Market: Regional Insights

North America accounted for the largest share in the global sensor fusion market in 2016 and this region is expected to dominate the global market by 2028. The increasing adoption of sensors in various fields such as medical, consumer electronics, and automotive is one of the major factors driving growth of the market in this region. For instance, according to the International Energy Agency (IEA) analysis, the total sales of electric vehicles in the U.S. in 2015 was US$ 130 billion, which increased up to US$ 150 billion in 2016. The rising demand for electric vehicles is increasing the demand for sensors in the automotive sector. Therefore, the rising demand for the data generated by the sensors used in various applications such as cameras, radars, and lights in the vehicles to be centralized is also expected to fuel growth of the sensor fusion market in this region.

Global Sensor Fusion Market: Competitive Landscape

The key players operating in the global sensor fusion market include AKM Semiconductor, Inc., Analog Devices, Inc., Bosch Sensortec Gmbh, Renesas Electronics Corporation., NXP Semiconductors, Inc., BASELABS, STMicroelectronics, Kionix, Inc. Qualcomm Technologies, Inc., Quick Logic Corporation, PNI Corp., and Hillcrest Company LLC. Major players such as AKM Semiconductor, Hillcrest Company LLC, and Analog Devices, Inc. are adopting strategies such as mergers and acquisitions to strengthen their foothold in the market. For instance, in December 2016, InterDigital, Inc., a mobile technology research and development company was acquired by the Hillcrest Labs, in order to enhance the sensor processing technology and product portfolio of the company.

Global Sensor Fusion Market: Taxonomy

On the basis of technology, the global sensor fusion market is segmented into:

  • MEMS
  • Non-MEMS

On the basis of application, the global sensor fusion market is segmented into:

  • Smart Phones
  • Tablet
  • Camera
  • TV Remote
  • Video Games
  • Others

On the basis of end-use, the global sensor fusion market is segmented into:

  • Retail
  • Automotive
  • Consumer Electronics
  • Others

On the basis of region, the global sensor fusion market is segmented into:

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East
  • Africa

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.

Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
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Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
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  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
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Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
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  • Environmental indicators
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Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
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