
In-Cabin Automotive AI Market by Offering (Hardware, Software), Component (Biometric Scanners, Field Programmable Gate Array (FPGA), Graphics Processing Unit (GPU)), Technology, Process, Application - Global Forecast 2024-2030
Description
In-Cabin Automotive AI Market by Offering (Hardware, Software), Component (Biometric Scanners, Field Programmable Gate Array (FPGA), Graphics Processing Unit (GPU)), Technology, Process, Application - Global Forecast 2024-2030
The In-Cabin Automotive AI Market size was estimated at USD 286.22 million in 2023 and expected to reach USD 355.35 million in 2024, at a CAGR 24.03% to reach USD 1,292.48 million by 2030.
Global In-Cabin Automotive AI Market
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the In-Cabin Automotive AI Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the In-Cabin Automotive AI Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the In-Cabin Automotive AI Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., Affectiva, Inc., Amazon Web Services, Inc., Ambarella International LP, Analog Devices, Inc., Aptiv Global Operations Limited, Cipia Vision Ltd., Continental AG, Eyeris Technologies, Inc., Faurecia, Harman International, IAV GmbH Ingenieurgesellschaft Auto und Verkehr (“IAV”), Infineon Technologies AG, International Business Machines Corporation, Mercedes-Benz Group AG, NVIDIA Corporation, Qualcomm Technologies, Inc., Renesas Electronics Corporation, Robert Bosch GmbH, Siemens AG, Valeo, Visage Technologies, and Visteon Corporation.
Market Segmentation & Coverage
This research report categorizes the In-Cabin Automotive AI Market to forecast the revenues and analyze trends in each of the following sub-markets:
Offering
Hardware
Software
Component
Biometric Scanners
Field Programmable Gate Array (FPGA)
Graphics Processing Unit (GPU)
Image Sensors
Memory & Storage Systems
Microprocessors
Technology
Computer Vision
Context- aware Computing
Deep Learning
Machine Learning
Natural Language Processing
Process
Data Mining
Image Recognition
Signal Recognition
Application
Autonomous Driving
Autonomous Driving Processor Chips
Driver Monitoring
Human-Machine Interface
Identity Authentication
Semi-autonomous Driving
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas
Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam
Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom
The report offers valuable insights on the following aspects:
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
1. What is the market size and forecast of the In-Cabin Automotive AI Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the In-Cabin Automotive AI Market?
3. What are the technology trends and regulatory frameworks in the In-Cabin Automotive AI Market?
4. What is the market share of the leading vendors in the In-Cabin Automotive AI Market?
5. Which modes and strategic moves are suitable for entering the In-Cabin Automotive AI Market?
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
197 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. In-Cabin Automotive AI Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Growing need to enhance user experience and improve the driving experience
- 5.1.1.2. Government initiatives to ensure safety of vehicles
- 5.1.1.3. Significant adoption of autonomous vehicles
- 5.1.2. Restraints
- 5.1.2.1. High cost of implementation of in-cabin automotive AI
- 5.1.3. Opportunities
- 5.1.3.1. Extensive use of in-cabin automotive AI for fleet management
- 5.1.3.2. Proliferation of personalized services to deliver innovative experiences
- 5.1.4. Challenges
- 5.1.4.1. Cybersecurity concerns associated with in-cabin automotive AI
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. In-Cabin Automotive AI Market, by Offering
- 6.1. Introduction
- 6.2. Hardware
- 6.3. Software
- 7. In-Cabin Automotive AI Market, by Component
- 7.1. Introduction
- 7.2. Biometric Scanners
- 7.3. Field Programmable Gate Array (FPGA)
- 7.4. Graphics Processing Unit (GPU)
- 7.5. Image Sensors
- 7.6. Memory & Storage Systems
- 7.7. Microprocessors
- 8. In-Cabin Automotive AI Market, by Technology
- 8.1. Introduction
- 8.2. Computer Vision
- 8.3. Context- aware Computing
- 8.4. Deep Learning
- 8.5. Machine Learning
- 8.6. Natural Language Processing
- 9. In-Cabin Automotive AI Market, by Process
- 9.1. Introduction
- 9.2. Data Mining
- 9.3. Image Recognition
- 9.4. Signal Recognition
- 10. In-Cabin Automotive AI Market, by Application
- 10.1. Introduction
- 10.2. Autonomous Driving
- 10.3. Autonomous Driving Processor Chips
- 10.4. Driver Monitoring
- 10.5. Human-Machine Interface
- 10.6. Identity Authentication
- 10.7. Semi-autonomous Driving
- 11. Americas In-Cabin Automotive AI Market
- 11.1. Introduction
- 11.2. Argentina
- 11.3. Brazil
- 11.4. Canada
- 11.5. Mexico
- 11.6. United States
- 12. Asia-Pacific In-Cabin Automotive AI Market
- 12.1. Introduction
- 12.2. Australia
- 12.3. China
- 12.4. India
- 12.5. Indonesia
- 12.6. Japan
- 12.7. Malaysia
- 12.8. Philippines
- 12.9. Singapore
- 12.
- 10. South Korea
- 12.
- 11. Taiwan
- 12.
- 12. Thailand
- 12.
- 13. Vietnam
- 13. Europe, Middle East & Africa In-Cabin Automotive AI Market
- 13.1. Introduction
- 13.2. Denmark
- 13.3. Egypt
- 13.4. Finland
- 13.5. France
- 13.6. Germany
- 13.7. Israel
- 13.8. Italy
- 13.9. Netherlands
- 13.
- 10. Nigeria
- 13.
- 11. Norway
- 13.
- 12. Poland
- 13.
- 13. Qatar
- 13.
- 14. Russia
- 13.
- 15. Saudi Arabia
- 13.
- 16. South Africa
- 13.
- 17. Spain
- 13.
- 18. Sweden
- 13.
- 19. Switzerland
- 13.
- 20. Turkey
- 13.
- 21. United Arab Emirates
- 13.
- 22. United Kingdom
- 14. Competitive Landscape
- 14.1. FPNV Positioning Matrix
- 14.2. Market Share Analysis, By Key Player
- 14.3. Competitive Scenario Analysis, By Key Player
- 15. Competitive Portfolio
- 15.1. Key Company Profiles
- 15.1.1. Advanced Micro Devices, Inc.
- 15.1.2. Affectiva, Inc.
- 15.1.3. Amazon Web Services, Inc.
- 15.1.4. Ambarella International LP
- 15.1.5. Analog Devices, Inc.
- 15.1.6. Aptiv Global Operations Limited
- 15.1.7. Cipia Vision Ltd.
- 15.1.8. Continental AG
- 15.1.9. Eyeris Technologies, Inc.
- 15.1.
- 10. Faurecia
- 15.1.
- 11. Harman International
- 15.1.
- 12. IAV GmbH Ingenieurgesellschaft Auto und Verkehr (“IAV”)
- 15.1.
- 13. Infineon Technologies AG
- 15.1.
- 14. International Business Machines Corporation
- 15.1.
- 15. Mercedes-Benz Group AG
- 15.1.
- 16. NVIDIA Corporation
- 15.1.
- 17. Qualcomm Technologies, Inc.
- 15.1.
- 18. Renesas Electronics Corporation
- 15.1.
- 19. Robert Bosch GmbH
- 15.1.
- 20. Siemens AG
- 15.1.
- 21. Valeo
- 15.1.
- 22. Visage Technologies
- 15.1.
- 23. Visteon Corporation
- 15.2. Key Product Portfolio
- 16. Appendix
- 16.1. Discussion Guide
- 16.2. License & Pricing
- FIGURE 1. IN-CABIN AUTOMOTIVE AI MARKET RESEARCH PROCESS
- FIGURE 2. IN-CABIN AUTOMOTIVE AI MARKET SIZE, 2023 VS 2030
- FIGURE 3. IN-CABIN AUTOMOTIVE AI MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. IN-CABIN AUTOMOTIVE AI MARKET DYNAMICS
- FIGURE 7. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY OFFERING, 2023 VS 2030 (%)
- FIGURE 8. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY OFFERING, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
- FIGURE 10. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
- FIGURE 12. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY PROCESS, 2023 VS 2030 (%)
- FIGURE 14. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY PROCESS, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 16. IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. AMERICAS IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 18. AMERICAS IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. UNITED STATES IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 20. UNITED STATES IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. ASIA-PACIFIC IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. ASIA-PACIFIC IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. EUROPE, MIDDLE EAST & AFRICA IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 24. EUROPE, MIDDLE EAST & AFRICA IN-CABIN AUTOMOTIVE AI MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 25. IN-CABIN AUTOMOTIVE AI MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 26. IN-CABIN AUTOMOTIVE AI MARKET SHARE, BY KEY PLAYER, 2023
Pricing
Currency Rates
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