Sensor Fusion Market - By Algorithm, By Technology, By Offering, By Type, By End Use & Forecast, 2023

Description

List of Tables

Sensor fusion market size is slated to expand at over 14% CAGR from 2023 and 2032, due to the increasing demand for integrated and comprehensive sensor solutions across industries, including automotive, healthcare, and consumer electronics. The rising advancements in sensor technologies, such as LiDAR, radar, and cameras is contributing to innovations in sophisticated sensor fusion systems. For instance, in July 2023, TIER IV, a leading autonomous driving (AD) technology provider, launched the sensor fusion development kit to streamline and expedite the development of AD systems and related applications by incorporating state-of-the-art perception technology.

The rising application scope in augmented reality (AR), virtual reality (VR), and IoT devices is further making sensor fusion technology pivotal in achieving seamless data integration and improved system performance across various domains. Additionally, the rising adoption of autonomous vehicles and the pressing need for enhanced situational awareness will fuel the market growth.

The sensor fusion industry is segregated into algorithm, technology, offering, type, end-use, and region.

Based on technology, the market share from the non-MEMS technology segment is projected to exhibit over 12.5% CAGR through 2032, due to the increasing demand for high-precision sensor solutions. The superior accuracy and performance offered by non-MEMS technologies to cater to several applications requiring precise data integration will also boost the segment expansion.

The military end-use segment is estimated to accumulate sizeable revenue share of the sensor fusion market by 2032, driven by the heightened need for advanced situational awareness and surveillance capabilities. The increasing integration of sensor fusion technologies in military applications can also be attributed to the robust ability for enhancing data accuracy and real-time decision-making. The growing need for comprehensive and integrated sensor solutions in defense systems will also push the segment growth ahead.

Regionally, the North America sensor fusion industry is slated to thrive at over 13.5% CAGR during 2023-2032. The growth is owing to the increasing adoption of advanced driver-assistance systems (ADAS) in the automotive sector and the rising investments in creating innovations in autonomous vehicles. The expanding use of sensor fusion technologies in healthcare and consumer electronics applications will further boost the regional market.

Product Code: 6902

Chapter 1 Algorithm ology & Scope

1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data Sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Sensor fusion market 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total addressable market (TAM), 2023-2032
2.3 Regional trends
2.4 Algorithm trends
2.5 Technology trends
2.6 Offering trends
2.7 Technology trends
2.8 End-use trends

Chapter 3 Sensor fusion Market Industry Insights

3.1 Impact on COVID-19
3.2 Russia- Ukraine war impact
3.3 Industry ecosystem analysis
3.4 Vendor matrix
3.5 Profit margin analysis
3.6 Technology & innovation landscape
3.7 Patent analysis
3.8 Key news and initiatives
3.9 Regulatory landscape
3.10 Impact forces
- 3.10.1 Growth drivers
  - 3.10.1.1 Crucial for smart cities, smart homes, and industrial IoT.
  - 3.10.1.2 Enhances safety and precision in robots and automated systems.
  - 3.10.1.3 Evolving sensor technology drives sensor fusion.
  - 3.10.1.4 Enhances situational awareness and navigation.
  - 3.10.1.5 Improves manufacturing and logistics efficiency.
- 3.10.2 Industry pitfalls & challenges
  - 3.10.2.1 Implementing robust cybersecurity measures.
  - 3.10.2.2 Optimizing sensor fusion algorithms for low power consumption
3.11 Growth potential analysis
3.12 Porter's analysis
3.13 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
- 4.3.1 STMicroelectronics
- 4.3.2 InvenSense Inc.
- 4.3.3 NXP Semiconductor
- 4.3.4 Infineon Technologies
- 4.3.5 Bosch Sensortec GmbH
- 4.3.6 Analog Devices Inc.
- 4.3.7 Renesas Electronics Corporation
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022

Chapter 5 Sensor fusion Market Estimates & Forecast, By Algorithm (USD Million)

5.1 Key trends, by algorithm
5.2 Kalman filter
5.3 Bayesian filter
5.4 Central limit theorem
5.5 Convolutional neural networks

Chapter 6 Sensor fusion Market Estimates & Forecast, By Technology (USD Million)

6.1 Key trends, by technology
6.2 MEMS
6.3 Non-MEMS

Chapter 7 Sensor fusion Market Estimates & Forecast, By Offering (USD Million)

7.1 Key trends, by offering.
7.2 Hardware
7.3 Software

Chapter 8 Sensor fusion Market Estimates & Forecast, By Technology (USD Million)

8.1 Key trends, by technology
8.2 Radar Sensors
8.3 Image Sensors
8.4 Imu
8.5 Temperature Sensors
8.6 Others

Chapter 9 Sensor fusion Market Estimates & Forecast, By End-use (USD Million)

9.1 Key trends, by end-use
9.2 Consumer Electronics
9.3 Home Automation
9.4 Medical
9.5 Military
9.6 Industrial
9.7 Others

Chapter 10 Sensor fusion market Estimates & Forecast, By Region (USD Million)

10.1 Key trends, by region
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Rest of Latin America
10.6 MEA
- 10.6.1 Saudi Arabia
- 10.6.2 UAE
- 10.6.3 South Africa
- 10.6.4 Rest of MEA

Chapter 11 Company Profiles

11.1 Amphenol Corporation
11.2 Analog Devices Inc.
11.3 Aptiv
11.4 Asahi Kasei Microdevices
11.5 BASELABS
11.6 Bosch Sensortec GmbH
11.7 Infineon Technologies
11.8 InvenSense Inc.
11.9 Maxim Integrated
11.10 NXP Semiconductor
11.11 PNI Sensor
11.12 Qualcomm Technologies
11.13 Renesas Electronics Corporation
11.14 STMicroelectronics
11.15 Texas Instruments