AI 센서 시장 : 센서 유형별, 기술별, 아키텍처 유형별, 용도별, 지역별 - 세계 예측(-2032년)

The AI sensor market is projected to reach USD 43.78 billion by 2032, growing from USD 3.87 billion in 2026, registering a CAGR of 49.8% during the forecast period. The market is witnessing significant growth due to the increasing deployment of edge AI-enabled sensing systems capable of performing real-time inference directly on devices without cloud dependency. AI-enabled image sensors, motion sensors, LiDAR, radar, and environmental sensing modules are increasingly being integrated into autonomous systems, industrial automation platforms, robotics, and smart infrastructure applications.

Additionally, the rapid expansion of Industry 4.0, smart manufacturing, and predictive maintenance systems is driving the demand for AI-powered sensing architectures capable of contextual awareness and adaptive analytics. Increasing emphasis on multimodal sensing, sensor fusion systems, and edge-based perception platforms is further driving innovation and commercialization across the global AI Sensor ecosystem.

"The sensing fusion system segment is expected to register the highest growth during the forecast period."

By sensing architecture, the sensing fusion system segment currently holds a smaller share because they require more complex hardware design, higher integration effort, and tighter calibration than standalone AI sensing. Unlike single-modality sensors, they combine inputs from two or more sources, such as vision, radar, IMU, audio, or environmental sensing, which raises cost and deployment complexity today. However, the segment's share is expected to rise by 2032 because end-use industries increasingly need richer contextual awareness, higher accuracy, and more reliable decisions in difficult environments. Sensing fusion systems are gaining traction in autonomous vehicles, robotics, industrial automation, and smart infrastructure, where fused perception delivers better performance than single-sensor solutions.

"The automotive & mobility segment is expected to lead the growth of the AI sensor market during the forecast period."

By application, the automotive & mobility segment is expected to lead the growth of the AI sensor market during the forecast period because vehicles are rapidly becoming more intelligent, connected, and software-driven. Demand in this segment is rising for AI sensors that can support safety and perception functions such as driver monitoring, occupant sensing, parking support, in-cabin intelligence, and advanced driver assistance. Automakers are also combining multiple sensing inputs to improve accuracy and response in real time, which is increasing the need for edge-based AI sensing solutions. As a result, the automotive sector is emerging as the most important deployment area for AI sensors across both passenger and commercial vehicles.

"Asia Pacific is expected to register the highest growth in the AI sensor market during the forecast period."

Asia Pacific is likely to grow at the highest rate in the AI sensor market during the forecast period because the region is moving quickly toward smarter mobility, advanced manufacturing, and connected digital infrastructure. Countries such as China, Japan, South Korea, India, and parts of Southeast Asia are increasing use of AI sensors in applications like driver monitoring, ADAS, machine vision, smart factories, and urban mobility systems. Strong electronics production, rising automation, and expanding demand for intelligent edge devices are helping these solutions scale faster across the region.

Extensive primary interviews were conducted with key industry experts offering AI sensor solutions to determine and verify the market size for various segments and subsegments gathered through secondary research. The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs.

The break-up of the primaries is as follows:

• By Company Type: Tier 1 - 40%, Tier 2 - 35%, and Tier 3 - 25%
• By Designation: C-level Executives - 40%, Directors - 45%, and Others - 15%
• By Region: Asia Pacific - 41%, North America - 26%, Europe - 28%, and Rest of the World - 5%

The report profiles key players in the AI sensor market with their respective market ranking analysis. Prominent players profiled in this report are Bosch Sensortec (Germany), Sony Semiconductor Solutions Corporation (Japan), Teledyne Technologies Incorporated (US), and TDK Corporation (Japan). Apart from this, OMNIVISION Technologies, Inc. (US), onsemi (US), Ambarella, Inc. (US), Prophesee S.A. (France), AIStorm, Inc. (US), among others, are among the few other companies in the AI sensor market.

Research Coverage:

This research report categorizes the AI sensor market based on sensor type, application, technology, architecture type, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI sensor market and forecasts the same till 2032. Apart from this, the report also consists of leadership mapping and analysis of all the companies included in the AI sensor market ecosystem.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in this market with information on the closest approximations of the numbers for the overall AI sensor market and the subsegments. It will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

• Analysis of key drivers (Rising adoption of edge AI and real-time on-device inference across autonomous systems, industrial automation, and smart devices; growing demand for AI-enabled consumer electronics including wearables, hearables, XR devices, and smart home products), restraints (High power use and thermal limits in compact, battery-powered devices; growing concerns around privacy, cybersecurity, and compliance), opportunities (Faster adoption of AI PCs, smart glasses, XR systems, and multimodal wearables; growth in robotics, autonomous systems, and smart industrial infrastructure), challenges (Balancing accuracy, latency, and ultra-low power at the edge; limited compute, memory, and thermal headroom for advanced models)
• Product Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and new product & service launches in the AI sensor market
• Market Development: Comprehensive information about lucrative markets-the report analyzes the AI sensor market across varied regions
• Market Diversification: Exhaustive information about products & services, untapped geographies, recent developments, and investments in the AI sensor market

Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, such as Bosch Sensortec (Germany), Sony Semiconductor Solutions Corporation (Japan), OMNIVISION Technologies, Inc. (US), onsemi (US), Teledyne Technologies Incorporated (US), and TDK Corporation (Japan).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION AND REGIONAL SCOPE
  • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 UNIT CONSIDERED
• 1.6 LIMITATIONS
• 1.7 STAKEHOLDERS
• 1.8 SUMMARY OF CHANGES

2 EXECUTIVE SUMMARY

• 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
• 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
• 2.3 DISRUPTIVE TRENDS IN AI SENSOR MARKET
• 2.4 HIGH-GROWTH SEGMENTS
• 2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

• 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI SENSOR MARKET
• 3.2 AI SENSOR MARKET, BY SENSOR TYPE
• 3.3 AI SENSOR MARKET, BY TECHNOLOGY
• 3.4 AI SENSOR MARKET, BY ARCHITECTURE TYPE
• 3.5 AI SENSOR MARKET, BY APPLICATION
• 3.6 AI SENSOR MARKET, BY COUNTRY

4 MARKET OVERVIEW

• 4.1 INTRODUCTION
• 4.2 MARKET DYNAMICS
  • 4.2.1 DRIVERS
    • 4.2.1.1 Rising adoption of edge AI and real-time on-device inference across autonomous systems, industrial automation, and smart devices
    • 4.2.1.2 Growing demand for AI-enabled consumer electronics, including wearables, hearables, XR devices, and smart home products
    • 4.2.1.3 Increasing deployment of AI sensing technologies in automotive applications such as ADAS, driver monitoring, and in-cabin sensing
    • 4.2.1.4 Expansion of industrial automation, machine vision, and predictive maintenance systems within Industry 4.0 environments
  • 4.2.2 RESTRAINTS
    • 4.2.2.1 Power consumption and thermal management limitations in compact and battery-operated AI sensing devices
    • 4.2.2.2 Rising concerns related to data privacy, cybersecurity, and regulatory compliance for AI-enabled sensing systems
  • 4.2.3 OPPORTUNITIES
    • 4.2.3.1 Growing adoption of AI-native edge devices such as AI PCs, smart glasses, XR systems, and multimodal wearable platforms
    • 4.2.3.2 Expansion of robotics, autonomous systems, and smart industrial infrastructure requiring contextual AI perception
    • 4.2.3.3 Increasing demand for AI-driven healthcare monitoring, smart diagnostics, and remote patient sensing solutions
    • 4.2.3.4 Rising investments in spatial computing, immersive technologies, and next-generation human-machine interaction systems
  • 4.2.4 CHALLENGES
    • 4.2.4.1 Difficulty in balancing inference accuracy, latency, and ultra-low-power operation in edge AI sensing environments
    • 4.2.4.2 Limited compute, memory, and thermal resources for running advanced AI models directly on embedded sensing devices
• 4.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
  • 4.3.1 INTERCONNECTED MARKETS
  • 4.3.2 CROSS-SECTOR OPPORTUNITIES
• 4.4 STRATEGIC MOVES BY TIER 1/2/3 PLAYERS

5 INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 PORTER'S FIVE FORCES ANALYSIS
  • 5.2.1 THREAT OF NEW ENTRANTS
  • 5.2.2 THREAT OF SUBSTITUTES
  • 5.2.3 BARGAINING POWER OF SUPPLIERS
  • 5.2.4 BARGAINING POWER OF BUYERS
  • 5.2.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.3 MACROECONOMIC OUTLOOK
  • 5.3.1 INTRODUCTION
  • 5.3.2 GDP TRENDS AND FORECAST
• 5.4 SUPPLY CHAIN ANALYSIS
• 5.5 ECOSYSTEM ANALYSIS
• 5.6 PRICING ANALYSIS
  • 5.6.1 INDICATIVE PRICE OF AI IMAGE SENSOR MODULES, BY KEY PLAYER, 2025
  • 5.6.2 AVERAGE SELLING PRICE TREND OF AI SENSOR, BY SENSOR TYPE
  • 5.6.3 AVERAGE SELLING PRICE TREND OF AI SENSOR, BY REGION
• 5.7 TRADE ANALYSIS
  • 5.7.1 IMPORT SCENARIO (HS CODE 902690)
  • 5.7.2 EXPORT SCENARIO (HS CODE 902690)
• 5.8 KEY CONFERENCES AND EVENTS, 2026-2027
• 5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.10 INVESTMENT AND FUNDING SCENARIO, 2022-2026
• 5.11 CASE STUDY ANALYSIS
  • 5.11.1 BOSCH DEPLOYMENT OF AI SENSORS AND PREDICTIVE ANALYTICS FOR SMART MANUFACTURING EFFICIENCY AND EQUIPMENT MONITORING
  • 5.11.2 INTEGRATION OF NEXEED SMART MANUFACTURING SOLUTIONS AND OPERATIONAL PERFORMANCE IMPROVEMENTS AT BOSCH
• 5.12 IMPACT OF 2025 US TARIFF ON AI SENSOR MARKET
  • 5.12.1 INTRODUCTION
  • 5.12.2 KEY TARIFF RATES
  • 5.12.3 PRICE IMPACT ANALYSIS
  • 5.12.4 IMPACT ON COUNTRIES/REGIONS
    • 5.12.4.1 US
    • 5.12.4.2 Europe
    • 5.12.4.3 Asia Pacific
  • 5.12.5 IMPACT ON END USERS

6 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, AND INNOVATIONS

• 6.1 KEY EMERGING TECHNOLOGIES
  • 6.1.1 EDGE AI AND AI-IN-SENSOR INTEGRATION
  • 6.1.2 ADVANCED MEMS AND SMART SENSOR FUSION
  • 6.1.3 AI VISION AND SPATIAL PERCEPTION
  • 6.1.4 NEURAL NETWORKS
  • 6.1.5 CASE-BASED REASONING
  • 6.1.6 INDUCTIVE LEARNING
  • 6.1.7 AMBIENT INTELLIGENCE
  • 6.1.8 EDGE AI INFERENCE
• 6.2 COMPLEMENTARY TECHNOLOGIES
  • 6.2.1 EDGE COMPUTING AND AI ANALYTICS PLATFORMS
  • 6.2.2 WIRELESS CONNECTIVITY AND INTELLIGENT IOT INFRASTRUCTURE
  • 6.2.3 AI CYBERSECURITY AND TRUSTED EDGE ARCHITECTURES
• 6.3 ADJACENT TECHNOLOGIES
  • 6.3.1 MACHINE LEARNING AND PREDICTIVE ANALYTICS
  • 6.3.2 DIGITAL TWINS AND INTELLIGENT SIMULATION
  • 6.3.3 SPATIAL COMPUTING AND HUMAN-MACHINE INTERACTION
• 6.4 TECHNOLOGY ROADMAP
• 6.5 PATENT ANALYSIS

7 REGULATORY LANDSCAPE

• 7.1 INTRODUCTION
  • 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 7.1.2 STANDARDS

8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR

• 8.1 DECISION-MAKING PROCESS
• 8.2 KEY STAKEHOLDERS IN BUYING PROCESS AND EVALUATION CRITERIA
  • 8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 8.2.2 BUYING CRITERIA
• 8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES
• 8.4 UNMET NEEDS FROM VARIOUS APPLICATIONS

9 AI SENSOR MARKET, BY SENSOR TYPE

• 9.1 INTRODUCTION
• 9.2 MOTION & POSITION SENSORS
  • 9.2.1 INCREASING IMPORTANCE OF MOTION INTELLIGENCE IN EDGE AI APPLICATIONS TO DRIVE MARKET
• 9.3 ULTRASONIC SENSORS
  • 9.3.1 AI-ENABLED NAVIGATION AND OBSTACLE DETECTION TO INCREASE DEMAND
• 9.4 IMAGE SENSORS
  • 9.4.1 AI-BASED VISION APPLICATIONS ACCELERATING INTEGRATION OF IMAGE SENSORS IN AUTOMOTIVE AND INDUSTRIAL SYSTEMS
• 9.5 RADAR SENSORS
  • 9.5.1 RISING NEED FOR FAST AND RELIABLE ENVIRONMENTAL PERCEPTION TO BOOST ADOPTION
• 9.6 LIDAR SENSORS
  • 9.6.1 HIGH-RESOLUTION DEPTH SENSING TO DRIVE ADOPTION
• 9.7 ENVIRONMENTAL SENSORS
  • 9.7.1 GROWING NEED FOR REAL-TIME ENVIRONMENTAL INTELLIGENCE TO DRIVE MARKET
• 9.8 PRESSURE SENSORS
  • 9.8.1 USEFUL IN ENVIRONMENTS WHERE CONSISTENT PHYSICAL MEASUREMENT SUPPORTS AUTOMATION, SAFETY, AND PERFORMANCE OPTIMIZATION
• 9.9 TEMPERATURE SENSORS
  • 9.9.1 NEED FOR REAL-TIME PERFORMANCE MONITORING TO DRIVE ADOPTION
• 9.10 OTHER AI SENSORS

10 AI SENSOR MARKET, BY TECHNOLOGY

• 10.1 INTRODUCTION
• 10.2 MACHINE LEARNING
  • 10.2.1 DEEP LEARNING
    • 10.2.1.1 Offers ability to build hierarchical representations
  • 10.2.2 SUPERVISED LEARNING
    • 10.2.2.1 Algorithm learns to make predictions or decisions based on labeled training data
  • 10.2.3 UNSUPERVISED LEARNING
    • 10.2.3.1 Includes clustering methods consisting of algorithms with unlabeled training data
  • 10.2.4 REINFORCEMENT LEARNING
    • 10.2.4.1 Allows systems and software to determine ideal behavior for maximizing performance of systems
  • 10.2.5 OTHER MACHINE LEARNING TECHNOLOGIES
• 10.3 NATURAL LANGUAGE PROCESSING
  • 10.3.1 REAL-TIME TRANSLATION AND ABILITY TO COMMUNICATE IN NATURAL LANGUAGE WITH SYSTEMS TO SUPPORT MARKET GROWTH
• 10.4 CONTEXT-AWARE COMPUTING
  • 10.4.1 HIGH DEMAND FOR HARD AND SOFT SENSORS TO DRIVE MARKET
• 10.5 COMPUTER VISION
  • 10.5.1 DEVELOPING ALGORITHMS AND TECHNIQUES TO ANALYZE, PROCESS, AND INTERPRET DIGITAL IMAGES AND VIDEOS TO PROPEL MARKET

11 AI SENSOR MARKET, BY ARCHITECTURE TYPE

• 11.1 INTRODUCTION
• 11.2 STANDALONE AI SENSING
  • 11.2.1 SIMPLER DEPLOYMENT AND COST EFFICIENCY TO PROPEL MARKET
• 11.3 SENSING FUSION SYSTEMS
  • 11.3.1 ABILITY TO BUILD HIERARCHICAL REPRESENTATIONS TO SUPPORT ADOPTION

12 AI SENSOR MARKET, BY APPLICATION

• 12.1 INTRODUCTION
• 12.2 AUTOMOTIVE & MOBILITY
  • 12.2.1 AI SENSORS ENABLE ADAS, DRIVER MONITORING, AND AUTONOMOUS DRIVING
• 12.3 CONSUMER ELECTRONICS & WEARABLES
  • 12.3.1 INCLINATION TOWARD SMART AND INTELLIGENT DEVICES TO DRIVE MARKET
• 12.4 INDUSTRIAL MANUFACTURING & ROBOTICS
  • 12.4.1 MACHINE VISION AND ROBOTICS DRIVING PRECISION IN INDUSTRIAL OPERATIONS
• 12.5 AEROSPACE, DEFENSE, & PUBLIC SAFETY
  • 12.5.1 NEED TO STRENGTHEN SURVEILLANCE, NAVIGATION, AND MISSION SAFETY TO PROPEL MARKET
• 12.6 SMART HOMES, BUILDINGS, & INFRASTRUCTURE
  • 12.6.1 INCREASING NEED TO IMPROVE HOME SECURITY TO DRIVE MARKET
• 12.7 HEALTHCARE & LIFE SCIENCES
  • 12.7.1 NEED FOR EARLY DETECTION OF DISEASES AND REDUCING DIAGNOSTIC DELAYS TO PROPEL MARKET
• 12.8 RETAIL, LOGISTICS, & SUPPLY CHAIN
  • 12.8.1 AI SENSORS IMPROVE INVENTORY TRACKING AND WAREHOUSE EFFICIENCY
• 12.9 AGRICULTURE & ENVIRONMENTAL MONITORING
  • 12.9.1 IMPROVED CROP HEALTH AND BETTER MANAGEMENT OF RESOURCES TO DRIVE MARKET
• 12.10 OTHER APPLICATIONS

13 AI SENSOR MARKET, BY REGION

• 13.1 INTRODUCTION
• 13.2 NORTH AMERICA
  • 13.2.1 US
    • 13.2.1.1 Presence of leading AI sensor manufacturers to drive market
  • 13.2.2 CANADA
    • 13.2.2.1 Growing automation in automotive and manufacturing sectors to drive market
  • 13.2.3 MEXICO
    • 13.2.3.1 Increasing demand for temperature sensors for medical equipment to drive market
• 13.3 EUROPE
  • 13.3.1 GERMANY
    • 13.3.1.1 Government initiatives for promoting the implementation of Industry 4.0 to drive market
  • 13.3.2 UK
    • 13.3.2.1 Consumer electronics sector to create growth opportunities
  • 13.3.3 FRANCE
    • 13.3.3.1 Growth of industrial manufacturing sector to propel market
  • 13.3.4 SPAIN
    • 13.3.4.1 Growing adoption of smart manufacturing and AI-enabled technologies to drive market
  • 13.3.5 ITALY
    • 13.3.5.1 Automotive innovation and adoption of industrial robotics to propel market
  • 13.3.6 NORDICS
    • 13.3.6.1 Strong focus on smart healthcare, sustainable technologies, and industrial digitalization to drive market
  • 13.3.7 REST OF EUROPE
• 13.4 ASIA PACIFIC
  • 13.4.1 CHINA
    • 13.4.1.1 Presence of prominent automotive, aerospace & defense, and electronics companies to fuel market growth
  • 13.4.2 JAPAN
    • 13.4.2.1 Presence of leading sensor manufacturing companies to drive market
  • 13.4.3 INDIA
    • 13.4.3.1 Strong government support for adoption of industrial automation to propel market
  • 13.4.4 SOUTH KOREA
    • 13.4.4.1 Increasing demand for advanced sensors from electronics and automotive industries to support market growth
  • 13.4.5 AUSTRALIA
    • 13.4.5.1 Rising adoption of smart mining, healthcare technologies, and industrial automation to drive market
  • 13.4.6 REST OF ASIA PACIFIC
• 13.5 ROW
  • 13.5.1 MIDDLE EAST
    • 13.5.1.1 GCC Countries
      • 13.5.1.1.1 Large-scale smart city and energy infrastructure projects to drive market
    • 13.5.1.2 Rest of Middle East & Africa
  • 13.5.2 AFRICA
    • 13.5.2.1 South Africa
      • 13.5.2.1.1 Increasing adoption of smart mining and industrial monitoring technologies to drive market
    • 13.5.2.2 Rest of Africa
  • 13.5.3 SOUTH AMERICA
    • 13.5.3.1 Brazil
      • 13.5.3.1.1 Growing adoption of precision agriculture and industrial automation to propel market
    • 13.5.3.2 Argentina
      • 13.5.3.2.1 Expansion of smart agriculture and food processing automation to drive market
    • 13.5.3.3 Rest of South America

14 COMPETITIVE LANDSCAPE

• 14.1 INTRODUCTION
• 14.2 KEY PLAYER COMPETITIVE STRATEGIES/RIGHT TO WIN, 2022-2026
• 14.3 REVENUE ANALYSIS, 2021-2025
• 14.4 MARKET SHARE ANALYSIS, 2025
• 14.5 COMPANY VALUATION AND FINANCIAL METRICS
• 14.6 BRAND COMPARISON
  • 14.6.1 BOSCH SENSORTEC GMBH
  • 14.6.2 SONY SEMICONDUCTOR SOLUTIONS CORPORATION
  • 14.6.3 KEYENCE CORPORATION
  • 14.6.4 TELEDYNE TECHNOLOGIES INCORPORATED
  • 14.6.5 SEMICONDUCTOR COMPONENTS INDUSTRIES, LLC
• 14.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025
  • 14.7.1 STARS
  • 14.7.2 EMERGING LEADERS
  • 14.7.3 PERVASIVE PLAYERS
  • 14.7.4 PARTICIPANTS
  • 14.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2025
    • 14.7.5.1 Company footprint
    • 14.7.5.2 Region footprint
    • 14.7.5.3 Sensor type footprint
    • 14.7.5.4 Technology footprint
    • 14.7.5.5 Application footprint
    • 14.7.5.6 Architecture type footprint
• 14.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025
  • 14.8.1 PROGRESSIVE COMPANIES
  • 14.8.2 RESPONSIVE COMPANIES
  • 14.8.3 DYNAMIC COMPANIES
  • 14.8.4 STARTING BLOCKS
  • 14.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2025
    • 14.8.5.1 Detailed list of key startups/SMEs
    • 14.8.5.2 Competitive benchmarking of key startups/SMEs
• 14.9 COMPETITIVE SCENARIO
  • 14.9.1 PRODUCT LAUNCHES
  • 14.9.2 DEALS

15 COMPANY PROFILES

• 15.1 KEY PLAYERS
  • 15.1.1 BOSCH SENSORTEC GMBH
    • 15.1.1.1 Business overview
    • 15.1.1.2 Products/Solutions/Services offered
    • 15.1.1.3 Recent developments
      • 15.1.1.3.1 Product launches
    • 15.1.1.4 MnM view
      • 15.1.1.4.1 Key strengths
      • 15.1.1.4.2 Strategic choices
      • 15.1.1.4.3 Weaknesses and competitive threats
  • 15.1.2 SONY SEMICONDUCTOR SOLUTIONS CORPORATION
    • 15.1.2.1 Business overview
    • 15.1.2.2 Products/Solutions/Services offered
    • 15.1.2.3 Recent developments
      • 15.1.2.3.1 Deals
    • 15.1.2.4 MnM view
      • 15.1.2.4.1 Key strengths
      • 15.1.2.4.2 Strategic choices
      • 15.1.2.4.3 Weaknesses and competitive threats
  • 15.1.3 KEYENCE CORPORATION
    • 15.1.3.1 Business overview
    • 15.1.3.2 Products/Solutions/Services offered
    • 15.1.3.3 Recent developments
      • 15.1.3.3.1 Product launches
      • 15.1.3.3.2 Deals
    • 15.1.3.4 MnM view
      • 15.1.3.4.1 Key strengths
      • 15.1.3.4.2 Strategic choices
      • 15.1.3.4.3 Weaknesses and competitive threats
  • 15.1.4 TELEDYNE TECHNOLOGIES INCORPORATED
    • 15.1.4.1 Business overview
    • 15.1.4.2 Products/Solutions/Services offered
    • 15.1.4.3 Recent developments
      • 15.1.4.3.1 Product launches
      • 15.1.4.3.2 Deals
    • 15.1.4.4 MnM view
      • 15.1.4.4.1 Key strengths
      • 15.1.4.4.2 Strategic choices
      • 15.1.4.4.3 Weaknesses and competitive threats
  • 15.1.5 SEMICONDUCTOR COMPONENTS INDUSTRIES, LLC
    • 15.1.5.1 Business overview
    • 15.1.5.2 Products/Solutions/Services offered
    • 15.1.5.3 Recent developments
      • 15.1.5.3.1 Product launches
      • 15.1.5.3.2 Deals
    • 15.1.5.4 MnM view
      • 15.1.5.4.1 Key strengths
      • 15.1.5.4.2 Strategic choices
      • 15.1.5.4.3 Weaknesses and competitive threats
  • 15.1.6 RENESAS ELECTRONICS CORPORATION
    • 15.1.6.1 Business overview
    • 15.1.6.2 Products/Solutions/Services offered
    • 15.1.6.3 Recent developments
      • 15.1.6.3.1 Deals
  • 15.1.7 STMICROELECTRONICS
    • 15.1.7.1 Business overview
    • 15.1.7.2 Products/Solutions/Services offered
    • 15.1.7.3 Recent developments
      • 15.1.7.3.1 Product launches
      • 15.1.7.3.2 Deals
  • 15.1.8 SENSATA TECHNOLOGIES
    • 15.1.8.1 Business overview
    • 15.1.8.2 Products/Solutions/Services offered
    • 15.1.8.3 Recent developments
      • 15.1.8.3.1 Product launches
  • 15.1.9 SYNTIANT CORP.
    • 15.1.9.1 Business overview
    • 15.1.9.2 Products/Solutions/Services offered
    • 15.1.9.3 Recent developments
      • 15.1.9.3.1 Product launches
      • 15.1.9.3.2 Deals
  • 15.1.10 GOERTEK MICROELECTRONICS CO., LTD.
    • 15.1.10.1 Business overview
    • 15.1.10.2 Products/Solutions/Services offered
    • 15.1.10.3 Recent developments
      • 15.1.10.3.1 Product launches
      • 15.1.10.3.2 Deals
  • 15.1.11 AUGURY INC.
    • 15.1.11.1 Business overview
    • 15.1.11.2 Products/Solutions/Services offered
    • 15.1.11.3 Recent developments
      • 15.1.11.3.1 Product launches
      • 15.1.11.3.2 Deals
• 15.2 OTHER PLAYERS
  • 15.2.1 AISTORM, INC.
  • 15.2.2 AONDEVICES, INC.
  • 15.2.3 HARBOR TECHNOLOGY SOLUTIONS CO., LTD.
  • 15.2.4 TAIYO YUDEN CO.
  • 15.2.5 AROMA BIT, INC.
  • 15.2.6 ARTERY TECHNOLOGY (CHONGQING) CO., LTD.
  • 15.2.7 YOKOGAWA ELECTRIC CORPORATION
  • 15.2.8 TE CONNECTIVITY LTD.
  • 15.2.9 SYNAPTICS INCORPORATED
  • 15.2.10 INVENSENSE, INC.
  • 15.2.11 ANALOG DEVICES, INC.
  • 15.2.12 HIMAX TECHNOLOGIES, INC.
  • 15.2.13 PROPHESEE
  • 15.2.14 ALTERED CARBON LIMITED
  • 15.2.15 SENSIRION AG

16 RESEARCH METHODOLOGY

• 16.1 RESEARCH DATA
• 16.2 SECONDARY AND PRIMARY RESEARCH
  • 16.2.1 SECONDARY DATA
    • 16.2.1.1 Key data from secondary sources
    • 16.2.1.2 List of key secondary sources
  • 16.2.2 PRIMARY DATA
    • 16.2.2.1 Key data from primary sources
    • 16.2.2.2 List of primary interview participants
    • 16.2.2.3 Breakdown of primaries
    • 16.2.2.4 Key industry insights
• 16.3 MARKET SIZE ESTIMATION
  • 16.3.1 BOTTOM-UP APPROACH
  • 16.3.2 TOP-DOWN APPROACH
  • 16.3.3 MARKET SIZE CALCULATION FOR BASE YEAR
• 16.4 MARKET FORECAST APPROACH
  • 16.4.1 BOTTOM-UP APPROACH (SUPPLY SIDE)
  • 16.4.2 TOP-DOWN APPROACH (DEMAND SIDE)
• 16.5 DATA TRIANGULATION
• 16.6 FACTOR ANALYSIS
• 16.7 RESEARCH ASSUMPTIONS
• 16.8 RESEARCH LIMITATIONS
• 16.9 RISK ANALYSIS

17 APPENDIX

• 17.1 DISCUSSION GUIDE
• 17.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 17.3 CUSTOMIZATION OPTIONS
• 17.4 RELATED REPORTS
• 17.5 AUTHOR DETAILS