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ADAS and Autonomous Driving ASIC Market By Component (ASICs (Technology-Specific Integrated Circuits), GPUs (Graphics Processing Units), FPGAs (Field Programmable Gate Arrays), CPUs (Central Processing Units), Others); By Technology (Deep Learning, Generative Adversarial Networks (GANs), Transformer-based Models); By End User (Cloud Service Providers, AI Startups & Enterprises, Automotive OEMs, Healthcare Providers, Financial Institutions) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

Name: ADAS and Autonomous Driving ASIC Market - Demand, Size and Competitive Analysis
Creator: Credence Research Inc.
Published: 2025-07-17
License: https://www.credenceresearch.com/info/privacy-policy
Keywords: ADAS and Autonomous Driving ASIC Market

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REPORT ATTRIBUTE	DETAILS
Historical Period	2020-2023
Base Year	2024
Forecast Period	2025-2032
ADAS and Autonomous Driving ASIC Market Size 2024	USD 14,716.62 million
ADAS and Autonomous Driving ASIC Market, CAGR	17.67%
ADAS and Autonomous Driving ASIC Market Size 2032	USD 58,979.37 million

Market Overview:

ADAS and Autonomous Driving ASIC Market size was valued at USD 6,822.66 million in 2018 to USD 14,716.62 million in 2024 and is anticipated to reach USD 58,979.37 million by 2032, at a CAGR of 17.67% during the forecast period.

The ADAS & Autonomous Driving ASIC market is dominated by key players such as Mobileye (Intel), NVIDIA, Texas Instruments, Qualcomm, NXP Semiconductors, Renesas Electronics, and STMicroelectronics. These companies lead through continuous innovation in AI-enabled chipsets, strategic partnerships, and extensive automotive industry collaborations. North America holds the largest market share at approximately 38%, driven by early adoption and strong presence of major OEMs and technology firms. Asia Pacific follows with around 30% market share, supported by rapid automotive production growth and government initiatives promoting autonomous technologies. Europe accounts for about 18%, propelled by stringent safety regulations and significant investments in electric and autonomous vehicles. The combined strengths of these regions and industry leaders foster robust market growth and technological advancement across the ADAS & Autonomous Driving ASIC landscape.

ADAS & Autonomous Driving ASIC Market size

Market Insights

The ADAS & Autonomous Driving ASIC market was valued at USD 6,822.66 million in 2018 and is projected to reach USD 58,979.37 million by 2032, growing at a CAGR of 17.67%. North America holds the largest regional share, followed by Asia Pacific and Europe.
Market growth is driven by increasing adoption of advanced driver assistance systems and rising investments in autonomous vehicle technologies by automotive OEMs globally.
Key trends include the integration of AI technologies such as deep learning and transformer-based models, and growing demand for energy-efficient, customized ASICs over general-purpose processors.
Competitive analysis highlights leading players like Mobileye (Intel), NVIDIA, and Qualcomm focusing on innovation and strategic partnerships to enhance product portfolios and market reach.
Challenges include high development costs, stringent regulatory requirements, and supply chain disruptions, which could restrain rapid market expansion, especially in emerging regions like Latin America and Africa.

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Market Segmentation Analysis:

By Chip Type

The ASICs (Application-Specific Integrated Circuits) segment dominates the ADAS & Autonomous Driving ASIC market, accounting for the largest share due to their high efficiency and customization for specific automotive applications. ASICs deliver superior performance and lower power consumption compared to GPUs, FPGAs, CPUs, and other chip types. GPUs hold a significant share driven by their parallel processing capabilities, essential for deep learning and real-time image processing. FPGAs and CPUs cater to flexible and general-purpose needs but face limitations in scalability. Market growth is fueled by increasing demand for energy-efficient, high-performance chips tailored for complex autonomous driving tasks.

For instance, Mobileye’s EyeQ5 ASIC delivers over 24 trillion operations per second with less than 30 watts, exemplifying ASICs’ capability to balance power and performance in autonomous applications.

By Technology

Deep learning remains the dominant technology segment, commanding the highest revenue share owing to its ability to process vast datasets and improve decision-making accuracy in autonomous vehicles. Transformer-based models are rapidly gaining traction for enhanced contextual understanding, while Generative Adversarial Networks (GANs) contribute to synthetic data generation and sensor data augmentation. The expanding use of AI algorithms in vehicle perception and prediction systems drives growth. Investments in algorithm optimization and hardware acceleration further support adoption across automotive applications.

For instance, NVIDIA’s DRIVE Orin platform delivers up to 254 TOPS (tera operations per second), significantly accelerating deep learning inference for real-time vehicle perception.

By End User

Automotive OEMs lead the end user segment with the largest market share, driven by their direct role in integrating ADAS and autonomous systems into vehicles. Cloud service providers and AI startups & enterprises follow, offering critical data processing, AI model development, and software support. Healthcare providers and financial institutions represent emerging users exploring autonomous technologies for logistics and data security. The increasing focus on vehicle safety, regulatory mandates, and enhanced user experience are key drivers encouraging adoption across end user categories.

Market Overview

Rising Demand for Advanced Safety Features

The increasing adoption of Advanced Driver Assistance Systems (ADAS) is a major growth driver for the ASIC market. Governments worldwide are enforcing stringent safety regulations mandating features such as collision avoidance, lane departure warnings, and adaptive cruise control. ASICs provide the necessary computing power with low latency and energy efficiency to process complex sensor data in real time. This demand from automotive OEMs to enhance vehicle safety significantly propels the market growth during the forecast period.

For instance, Renesas Electronics’ R-Car V3H SoC supports ASIL-D safety standards and operates with a CPU frequency of up to 400 MHz, enabling rapid execution of real-time safety-critical ADAS functions with minimal power consumption.

Advancements in AI and Deep Learning Technologies

Advances in AI, particularly deep learning algorithms, have intensified the need for specialized hardware like ASICs optimized for neural network processing. These chips accelerate AI computations crucial for autonomous driving, including object detection, path planning, and sensor fusion. ASICs enable higher performance at lower power consumption compared to GPUs and CPUs, making them essential for in-vehicle AI applications. Continuous innovation in AI models drives the integration of ASICs in autonomous vehicle platforms.

For instance, STMicroelectronics’ automotive-grade ASIC incorporates dedicated neural processing units capable of delivering up to 10 TOPS (trillion operations per second), efficiently supporting complex deep learning workloads while maintaining automotive thermal requirements.

Expansion of Electric and Autonomous Vehicle Production

The rapid growth of electric vehicles (EVs) coupled with increasing investments in autonomous vehicle development is expanding the market for ADAS ASICs. EV manufacturers focus on integrating intelligent driving systems to differentiate products and comply with evolving regulations. The complexity of autonomous systems demands efficient, custom ASIC solutions capable of handling multiple sensor inputs and AI workloads. This trend creates a strong market pull for ASIC manufacturers to meet growing production and performance requirements.

Key Trends & Opportunities

Integration of Multi-Sensor Fusion Technologies

Multi-sensor fusion combining data from cameras, LiDAR, radar, and ultrasonic sensors is becoming a critical trend, enhancing vehicle perception and decision accuracy. ASICs designed to support sensor fusion algorithms offer significant performance improvements and cost efficiency. This integration presents a major opportunity for chipset developers to innovate and capture growing demand as manufacturers seek higher safety and reliability standards in autonomous systems.

For instance, Infineon Technologies’ radar ASICs deliver signal processing capabilities exceeding 1 Giga samples per second, enabling precise fusion of radar and camera data. Similarly, Texas Instruments’ TDA4VM SoC integrates sensor fusion accelerators that process over 4 TOPS, enhancing multi-modal data interpretation for real-time decision-making.

Growth of Edge Computing in Vehicles

Edge computing is gaining traction in ADAS, where real-time data processing on the vehicle itself reduces latency and dependence on cloud connectivity. ASICs optimized for edge AI workloads enable efficient in-vehicle processing of sensor data and AI inference. This trend opens opportunities for ASIC providers to supply solutions tailored for edge deployment, accelerating market expansion driven by consumer demand for low-latency and privacy-conscious autonomous features.

For instance, NVIDIA’s Jetson AGX Xavier platform delivers up to 32 TOPS of AI performance specifically optimized for edge inference in automotive applications, supporting complex neural networks with minimal power consumption. Texas Instruments’ TDA4VM processor offers dedicated vision accelerators capable of processing 1080p video at 60 frames per second, ensuring efficient on-device analytics.

Collaboration Between Tech Companies and Automakers

Strategic partnerships between semiconductor firms, AI startups, and automotive OEMs are increasing to develop integrated ADAS solutions. These collaborations facilitate faster innovation, combining domain expertise in hardware, software, and automotive design. The cooperative development model offers opportunities to streamline ASIC integration into vehicles, reduce costs, and accelerate time-to-market, benefiting all stakeholders in the autonomous driving ecosystem.

Key Challenges

High Development Costs and Complexity

Developing ASICs for ADAS involves significant R&D expenditure and technological complexity, limiting market entry to companies with substantial capital and expertise. The design process requires close alignment with evolving AI algorithms and automotive safety standards, making it costly and time-consuming. This challenge hinders smaller players and slows the overall pace of innovation, impacting market growth potential.

Stringent Regulatory and Safety Requirements

ADAS ASIC manufacturers must comply with rigorous automotive safety and regulatory standards, including functional safety certifications like ISO 26262. Meeting these requirements demands extensive testing, validation, and design iterations, increasing development time and costs. Regulatory uncertainties in different regions further complicate compliance efforts, posing a barrier to rapid product deployment and scaling.

Supply Chain Constraints and Component Shortages

Global semiconductor shortages and supply chain disruptions have affected the availability of critical components used in ASIC manufacturing. This challenge delays production timelines and increases costs, impacting automotive manufacturers and chipset suppliers alike. Sustained supply chain resilience and capacity expansion remain crucial to maintaining market growth momentum amid rising demand for ADAS and autonomous vehicle technologies.

Regional Analysis

North America

North America held the largest market share (38%) in 2018, valued at USD 2,847.37 million, driven by advanced automotive technologies and strong adoption of autonomous driving systems. The region continues to lead with a CAGR of 17.7%, expanding to USD 6,075.09 million in 2024 and expected to reach USD 24,417.75 million by 2032. Growth is fueled by high investments from automotive OEMs and tech companies focusing on safety regulations and innovation in ADAS. The mature automotive ecosystem and robust infrastructure support sustained demand for ASICs optimized for autonomous vehicle applications.

Europe

Europe accounted for USD 1,440.42 million in 2018, representing a significant market share (18%) in the ADAS ASIC segment. The market is projected to grow at a CAGR of 16.4%, reaching USD 2,956.51 million by 2024 and USD 10,905.03 million by 2032. Stringent safety and emission regulations across the region drive adoption of advanced driving systems. Additionally, growing investments in electric and autonomous vehicle development by leading European OEMs boost demand. Europe’s focus on integrating AI-enabled ADAS technologies supports steady market expansion during the forecast period.

Asia Pacific

Asia Pacific is a rapidly expanding market share (30%), valued at USD 1,961.17 million in 2018 and expected to grow at the highest CAGR of 19.0%. The market size is projected to reach USD 4,467.75 million in 2024 and USD 19,535.44 million by 2032. This growth is driven by rising vehicle production, increasing consumer demand for safety features, and government initiatives promoting autonomous driving technologies in countries like China, Japan, and South Korea. The region’s expanding automotive manufacturing base and supportive infrastructure underscore its increasing market share globally.

Latin America

Latin America accounted for USD 301.77 million in 2018 and is expected to grow steadily with a CAGR of 15.7%. The market size is forecasted to reach USD 642.27 million in 2024 and USD 2,257.89 million by 2032. Growth drivers include rising vehicle sales, increasing awareness of vehicle safety, and gradual adoption of ADAS technologies. However, slower economic growth and infrastructure challenges moderate expansion. Nonetheless, Latin America’s growing automotive market and government support for road safety improvements offer promising opportunities for ADAS ASIC deployment.

Middle East

The Middle East market valued USD 172.14 million in 2018, showing moderate growth at a CAGR of 14.8%. The market size is projected to reach USD 335.88 million in 2024 and USD 1,110.20 million by 2032. The region’s growth is supported by rising investments in smart transportation and autonomous vehicle pilot projects. Oil-rich economies are increasingly focusing on diversifying automotive technologies, promoting innovation in vehicle safety systems. While market penetration remains limited compared to other regions, infrastructure development and regulatory initiatives present growth potential in the ADAS ASIC sector.

Africa

Africa’s ADAS ASIC market was valued at USD 99.80 million in 2018 and is expected to grow at a CAGR of 14.1%, reaching USD 239.12 million by 2024 and USD 753.05 million by 2032. Growth is driven by increasing urbanization, improved road safety awareness, and gradual introduction of automotive technologies. However, infrastructure limitations and economic factors constrain rapid adoption. Despite these challenges, expanding automotive sales and government focus on enhancing vehicle safety create a foundation for steady market growth and rising regional market share over the forecast period.

Market Segmentations:

By Chip Type

ASICs (Technology-Specific Integrated Circuits)
GPUs (Graphics Processing Units)
FPGAs (Field Programmable Gate Arrays)
CPUs (Central Processing Units)
Others

By Technology

ADAS & Autonomous Driving ASIC Overview by Technology Segment
ADAS & Autonomous Driving ASIC Revenue Share By Technology
Deep Learning
Generative Adversarial Networks (GANs)
Transformer-based Models

By End User

ADAS & Autonomous Driving ASIC Overview by End User Segment
ADAS & Autonomous Driving ASIC Revenue Share By End User
Cloud Service Providers
AI Startups & Enterprises
Automotive OEMs
Healthcare Providers
Financial Institutions

By Geography

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- France
- U.K.
- Italy
- Spain
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- South-east Asia
- Rest of Asia Pacific
Latin America
- Brazil
- Argentina
- Rest of Latin America
Middle East & Africa
- GCC Countries
- South Africa
- Rest of the Middle East and Africa

Competitive Landscape

The competitive landscape of the ADAS & Autonomous Driving ASIC market is marked by the presence of prominent semiconductor and technology companies aggressively advancing their portfolios to capture market share. Leading players such as Mobileye (Intel), NVIDIA, Texas Instruments, and Qualcomm focus on developing highly specialized ASICs tailored for autonomous driving and advanced driver assistance systems, emphasizing performance, power efficiency, and AI integration. Companies like NXP Semiconductors, Renesas Electronics, and STMicroelectronics complement the market with diversified chip offerings and strong automotive industry partnerships. Innovation in chip design, strategic collaborations, and acquisitions remain key growth strategies, enabling players to address the increasing complexity of autonomous vehicle requirements. Additionally, firms such as Infineon Technologies, Ambarella, and Analog Devices invest heavily in R&D to enhance sensor fusion capabilities and edge computing performance. The market’s competitive intensity drives continuous technology upgrades, enabling faster deployment of autonomous systems and fostering differentiation based on scalability and integration capabilities.

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Key Player Analysis

Mobileye (Intel)
NVIDIA
Texas Instruments
NXP Semiconductors
Renesas Electronics
STMicroelectronics
Qualcomm
Infineon Technologies
Ambarella
Analog Devices

Recent Developments

In April 2025, Continental’s Automotive Group Sector was renamed ‘Aumovio’ after its planned spin-off and IPO in September 2025. As an independent company, Aumovio will focus on advanced electronic and mobility solutions to support safe, connected, and autonomous driving. Its offerings will include sensor systems, smart displays, braking and comfort technologies, as well as software platforms and assistance systems for software-defined and autonomous vehicles.
In April 2025, Mobileye (Israel) partnered with Valens Semiconductor (Israel) for ADAS projects. Valens’ VA7000 chipsets, which follow the MIPI A-PHY standard, will be used to create the in-car connectivity system between sensors and computing units for Mobileye’s EyeQ6-based advanced and autonomous driving programs.
In April 2025, Valeo (France) partnered with Renault Group (France) to equip the latest Renault Grand Koleos model with the Valeo Smart Safety 360 (VSS360) system. VSS360 is a new Turnkey L2/L2+ driver assistance system that provides driving safety and parking assistance functions. It includes a smart front camera, radars, detection algorithms, and advanced features.
In March 2025, Mobileye introduced Surround ADAS, a software-defined system that enables hands-off, eyes-on driving at a lower cost. It uses Mobileye’s advanced software developed for autonomous vehicles and runs on a single EyeQ6 High SoC. The system uses up to 11 sensors, including multiple cameras and radars, and combines technologies like AI, computer vision, REM crowdsourced mapping, driving policy, and over-the-air updates. Key features include hands-off driving on highways and selected roads at speeds up to 130 km/h, surround collision avoidance, lane support, low-speed acceleration control, automatic lane changes, smart parking, and driver monitoring.
In June 2022, Valeo and the BMW Group partnered on a deal regarding ADAS. Valeo will provide ADAS sensors, domain controller, and software for maneuvering and parking for BMW’s upcoming EV platform.

Market Concentration & Characteristics

The ADAS & Autonomous Driving ASIC market exhibits a moderately concentrated structure, with a handful of key players dominating the competitive landscape. Leading companies such as Mobileye (Intel), NVIDIA, Qualcomm, and NXP Semiconductors command significant market shares due to their advanced technology portfolios and strong relationships with automotive OEMs. These firms invest heavily in research and development to deliver highly specialized, energy-efficient chipsets tailored to complex autonomous driving applications. The market favors companies that can provide integrated hardware-software solutions capable of supporting deep learning, sensor fusion, and real-time processing. Barriers to entry remain high due to the significant capital expenditure required for ASIC design, manufacturing, and compliance with stringent automotive safety standards. It also demands expertise in artificial intelligence and semiconductor technologies. The presence of established players ensures continuous innovation and drives competitive pricing, benefiting end-users. Regional market variations exist, with North America and Asia Pacific leading in adoption and technological advancements. Emerging regions like Latin America and Africa show slower uptake due to infrastructure and regulatory challenges. Overall, the market maintains dynamic growth fueled by evolving automotive safety regulations and increasing demand for intelligent vehicle systems, encouraging sustained investments and strategic partnerships within the industry.

Report Coverage

The research report offers an in-depth analysis based on Chip Type, Technology, End-User and Geography. It details leading market players, providing an overview of their business, product offerings, investments, revenue streams, and key applications. Additionally, the report includes insights into the competitive environment, SWOT analysis, current market trends, as well as the primary drivers and constraints. Furthermore, it discusses various factors that have driven market expansion in recent years. The report also explores market dynamics, regulatory scenarios, and technological advancements that are shaping the industry. It assesses the impact of external factors and global economic changes on market growth. Lastly, it provides strategic recommendations for new entrants and established companies to navigate the complexities of the market.

Future Outlook

The market will continue to grow driven by increasing adoption of autonomous vehicles worldwide.
Advancements in AI and machine learning will enhance ASIC performance and efficiency.
Automotive OEMs will invest more in integrating ASICs to meet stringent safety regulations.
Multi-sensor fusion technologies will become standard, requiring more sophisticated ASIC designs.
Edge computing in vehicles will increase demand for low-latency, power-efficient chips.
Collaboration between semiconductor companies and automakers will accelerate innovation.
Emerging markets will gradually adopt ADAS technologies, expanding the overall market.
Development costs and regulatory compliance will remain challenges for new entrants.
Supply chain improvements will stabilize ASIC production and reduce lead times.
Continuous software and hardware upgrades will drive replacement and aftermarket opportunities.

CHAPTER NO. 1: GENESIS OF THE MARKET

1.1 Market Prelude – Introduction & Scope

1.2 The Big Picture – Objectives & Vision

1.3 Strategic Edge – Unique Value Proposition

1.4 Stakeholder Compass – Key Beneficiaries

CHAPTER NO. 2: EXECUTIVE LENS

2.1 Pulse of the Industry – Market Snapshot

2.2 Growth Arc – Revenue Projections (USD Million)

2.3. Premium Insights – Based on Primary Interviews

CHAPTER NO. 3: ADAS & AUTONOMOUS DRIVING ASIC MARKET FORCES & INDUSTRY PULSE

3.1 Foundations of Change – Market Overview
3.2 Catalysts of Expansion – Key Market Drivers
3.2.1 Momentum Boosters – Growth Triggers
3.2.2 Innovation Fuel – Disruptive Technologies
3.3 Headwinds & Crosswinds – Market Restraints
3.3.1 Regulatory Tides – Compliance Challenges
3.3.2 Economic Frictions – Inflationary Pressures
3.4 Untapped Horizons – Growth Potential & Opportunities
3.5 Strategic Navigation – Industry Frameworks
3.5.1 Market Equilibrium – Porter’s Five Forces
3.5.2 Ecosystem Dynamics – Value Chain Analysis
3.5.3 Macro Forces – PESTEL Breakdown

3.6 Price Trend Analysis

3.6.1 Regional Price Trend
3.6.2 Price Trend by Product

CHAPTER NO. 4: KEY INVESTMENT EPICENTER

4.1 Regional Goldmines – High-Growth Geographies

4.2 Product Frontiers – Lucrative Product Categories

4.3 Application Sweet Spots – Emerging Demand Segments

CHAPTER NO. 5: REVENUE TRAJECTORY & WEALTH MAPPING

5.1 Momentum Metrics – Forecast & Growth Curves

5.2 Regional Revenue Footprint – Market Share Insights

5.3 Segmental Wealth Flow – Chip Type & End User Revenue

CHAPTER NO. 6: TRADE & COMMERCE ANALYSIS

6.1. Import Analysis by Region

6.1.1. Global ADAS & Autonomous Driving ASIC Import Revenue By Region

6.2. Export Analysis by Region

6.2.1. Global ADAS & Autonomous Driving ASIC Export Revenue By Region

CHAPTER NO. 7: COMPETITION ANALYSIS

7.1. Company Market Share Analysis

7.1.1. Global ADAS & Autonomous Driving ASIC: Company Market Share

7.2. Global ADAS & Autonomous Driving ASIC Company Revenue Market Share

7.3. Strategic Developments

7.3.1. Acquisitions & Mergers

7.3.2. New Product Launch

7.3.3. Regional Expansion

7.4. Competitive Dashboard

7.5. Company Assessment Metrics, 2024

CHAPTER NO. 8: ADAS & AUTONOMOUS DRIVING ASIC MARKET – BY CHIP TYPE SEGMENT ANALYSIS

8.1. ADAS & Autonomous Driving ASIC Overview by Chip Type Segment

8.1.1. ADAS & Autonomous Driving ASIC Revenue Share By Chip Type

8.2. ASICs (Technology-Specific Integrated Circuits)

8.3. GPUs (Graphics Processing Units)

8.4. FPGAs (Field Programmable Gate Arrays)

8.5. CPUs (Central Processing Units)

8.6. Others

CHAPTER NO. 9: ADAS & AUTONOMOUS DRIVING ASIC MARKET – BY TECHNOLOGY SEGMENT ANALYSIS

9.1. ADAS & Autonomous Driving ASIC Overview by Technology Segment

9.1.1. ADAS & Autonomous Driving ASIC Revenue Share By Technology

9.2. Deep Learning

9.3. Generative Adversarial Networks (GANs)

9.4. Transformer-based Models

CHAPTER NO. 10: ADAS & AUTONOMOUS DRIVING ASIC MARKET – BY END USER SEGMENT ANALYSIS

10.1. ADAS & Autonomous Driving ASIC Overview by End User Segment

10.1.1. ADAS & Autonomous Driving ASIC Revenue Share By End User

10.2. Cloud Service Providers

10.3. AI Startups & Enterprises

10.4. Automotive OEMs

10.5. Healthcare Providers

10.6. Financial Institutions

CHAPTER NO. 11: ADAS & AUTONOMOUS DRIVING ASIC MARKET – REGIONAL ANALYSIS

11.1. ADAS & Autonomous Driving ASIC Overview by Region Segment

11.1.1. Global ADAS & Autonomous Driving ASIC Revenue Share By Region

11.1.2. Regions

11.1.3. Global ADAS & Autonomous Driving ASIC Revenue By Region

11.1.4. Chip Type

11.1.5. Global ADAS & Autonomous Driving ASIC Revenue By Chip Type

11.1.6. Technology

11.1.7. Global ADAS & Autonomous Driving ASIC Revenue By Technology

11.1.8. End User

11.1.9. Global ADAS & Autonomous Driving ASIC Revenue By End User

CHAPTER NO. 12: NORTH AMERICA ADAS & AUTONOMOUS DRIVING ASIC MARKET – COUNTRY ANALYSIS

12.1. North America ADAS & Autonomous Driving ASIC Overview by Country Segment

12.1.1. North America ADAS & Autonomous Driving ASIC Revenue Share By Region

12.2. North America

12.2.1. North America ADAS & Autonomous Driving ASIC Revenue By Country

12.2.2. Chip Type

12.2.3. North America ADAS & Autonomous Driving ASIC Revenue By Chip Type

12.2.4. Technology

12.2.5. North America ADAS & Autonomous Driving ASIC Revenue By Technology

12.2.6. End User

12.2.7. North America ADAS & Autonomous Driving ASIC Revenue By End User

2.3. U.S.

12.4. Canada

12.5. Mexico

CHAPTER NO. 13: EUROPE ADAS & AUTONOMOUS DRIVING ASIC MARKET – COUNTRY ANALYSIS

13.1. Europe ADAS & Autonomous Driving ASIC Overview by Country Segment

13.1.1. Europe ADAS & Autonomous Driving ASIC Revenue Share By Region

13.2. Europe

13.2.1. Europe ADAS & Autonomous Driving ASIC Revenue By Country

13.2.2. Chip Type

13.2.3. Europe ADAS & Autonomous Driving ASIC Revenue By Chip Type

13.2.4. Technology

13.2.5. Europe ADAS & Autonomous Driving ASIC Revenue By Technology

13.2.6. End User

13.2.7. Europe ADAS & Autonomous Driving ASIC Revenue By End User

13.3. UK

13.4. France

13.5. Germany

13.6. Italy

13.7. Spain

13.8. Russia

13.9. Rest of Europe

CHAPTER NO. 14: ASIA PACIFIC ADAS & AUTONOMOUS DRIVING ASIC MARKET – COUNTRY ANALYSIS

14.1. Asia Pacific ADAS & Autonomous Driving ASIC Overview by Country Segment

14.1.1. Asia Pacific ADAS & Autonomous Driving ASIC Revenue Share By Region

14.2. Asia Pacific

14.2.1. Asia Pacific ADAS & Autonomous Driving ASIC Revenue By Country

14.2.2. Chip Type

14.2.3. Asia Pacific ADAS & Autonomous Driving ASIC Revenue By Chip Type

14.2.4. Technology

14.2.5. Asia Pacific ADAS & Autonomous Driving ASIC Revenue By Technology

14.2.5. End User

14.2.7. Asia Pacific ADAS & Autonomous Driving ASIC Revenue By End User

14.3. China

14.4. Japan

14.5. South Korea

14.6. India

14.7. Australia

14.8. Southeast Asia

14.9. Rest of Asia Pacific

CHAPTER NO. 15: LATIN AMERICA ADAS & AUTONOMOUS DRIVING ASIC MARKET – COUNTRY ANALYSIS

15.1. Latin America ADAS & Autonomous Driving ASIC Overview by Country Segment

15.1.1. Latin America ADAS & Autonomous Driving ASIC Revenue Share By Region

15.2. Latin America

15.2.1. Latin America ADAS & Autonomous Driving ASIC Revenue By Country

15.2.2. Chip Type

15.2.3. Latin America ADAS & Autonomous Driving ASIC Revenue By Chip Type

15.2.4. Technology

15.2.5. Latin America ADAS & Autonomous Driving ASIC Revenue By Technology

15.2.6. End User

15.2.7. Latin America ADAS & Autonomous Driving ASIC Revenue By End User

15.3. Brazil

15.4. Argentina

15.5. Rest of Latin America

CHAPTER NO. 16: MIDDLE EAST ADAS & AUTONOMOUS DRIVING ASIC MARKET – COUNTRY ANALYSIS

16.1. Middle East ADAS & Autonomous Driving ASIC Overview by Country Segment

16.1.1. Middle East ADAS & Autonomous Driving ASIC Revenue Share By Region

16.2. Middle East

16.2.1. Middle East ADAS & Autonomous Driving ASIC Revenue By Country

16.2.2. Chip Type

16.2.3. Middle East ADAS & Autonomous Driving ASIC Revenue By Chip Type

16.2.4. Technology

16.2.5. Middle East ADAS & Autonomous Driving ASIC Revenue By Technology

16.2.6. End User

16.2.7. Middle East ADAS & Autonomous Driving ASIC Revenue By End User

16.3. GCC Countries

16.4. Israel

16.5. Turkey

16.6. Rest of Middle East

CHAPTER NO. 17: AFRICA ADAS & AUTONOMOUS DRIVING ASIC MARKET – COUNTRY ANALYSIS

17.1. Africa ADAS & Autonomous Driving ASIC Overview by Country Segment

17.1.1. Africa ADAS & Autonomous Driving ASIC Revenue Share By Region

17.2. Africa

17.2.1. Africa ADAS & Autonomous Driving ASIC Revenue By Country

17.2.2. Chip Type

17.2.3. Africa ADAS & Autonomous Driving ASIC Revenue By Chip Type

17.2.4. Technology

17.2.5. Africa ADAS & Autonomous Driving ASIC Revenue By Technology

17.2.6. End User

17.2.7. Africa ADAS & Autonomous Driving ASIC Revenue By End User

17.3. South Africa

17.4. Egypt

17.5. Rest of Africa

CHAPTER NO. 18: COMPANY PROFILES

18.1. Mobileye (Intel)

18.1.1. Company Overview

18.1.2. Chip Type Portfolio

18.1.3. Financial Overview

18.1.4. Recent Developments

18.1.5. Growth Strategy

18.1.6. SWOT Analysis

18.2. NVIDIA

18.3. Texas Instruments

18.4. NXP Semiconductors

18.5. Renesas Electronics

18.6. STMicroelectronics

18.7. Qualcomm

18.8. Infineon Technologies

18.9. Ambarella

18.10. Analog Devices

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Frequently Asked Questions

What is the current size of the ADAS & Autonomous Driving ASIC Market?

The market size was valued at USD 14,716.62 million in 2024.

What factors are driving the growth of the ADAS & Autonomous Driving ASIC Market?

Growth is driven by rising adoption of ADAS features, advancements in AI technologies, and expansion of electric and autonomous vehicle production.

What are the key segments within the ADAS & Autonomous Driving ASIC Market?

Key segments include chip types (ASICs, GPUs, FPGAs, CPUs), technology (deep learning, GANs, transformer-based models), and end users (automotive OEMs, cloud providers, AI startups).

What are some challenges faced by the ADAS & Autonomous Driving ASIC Market?

Challenges include high development costs, stringent safety regulations, and supply chain disruptions impacting production and innovation.

About Author

Sushant Phapale

ICT & Automation Expert

Sushant is an expert in ICT, automation, and electronics with a passion for innovation and market trends.

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Operator Training Simulator Market size was valued at USD 12.4 billion in 2024 and is anticipated to reach USD 35.7 billion by 2032, at a CAGR of 14.1% during the forecast period.

UK Anesthesia Breathing Filters Market

The UK Anesthesia Breathing Filters Market size was valued at USD 3.75 million in 2018 to USD 4.68 million in 2024 and is anticipated to reach USD 6.35 million by 2032, at a CAGR of 3.60% during the forecast period.

Secure Logistics Market

Secure Logistics Market size was valued at USD 88 billion in 2024 and is anticipated to reach USD 136.2 billion by 2032, at a CAGR of 5.62% during the forecast period.

Zeolite Molecular Sieve Market

The Zeolite Molecular Sieve Market size was valued at USD 4609.8 million in 2024 and is anticipated to reach USD 7744.6 million by 2032, at a CAGR of 6.7% during the forecast period (2024-2032).

Non-Alcoholic Beer Market

The Non-Alcoholic Beer Market size was valued at USD 19 million in 2024 and is projected to reach USD 34.4 million by 2032, expanding at a CAGR of 7.7% during the forecast period.

Non-Alcoholic RTD Beverages Market

The Non-Alcoholic RTD Beverages Market was valued at USD 760.6 million in 2024 and is anticipated to reach USD 1178 million by 2032, growing at a CAGR of 5.62% during the forecast period.

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Thank you for the data! The numbers are exactly what we asked for and what we need to build our business case.

Materials Scientist
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The report was an excellent overview of the Industrial Burners market. This report does a great job of breaking everything down into manageable chunks.

Imre Hof
Management Assistant, Bekaert

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