자동차용 지능형 콕핏 플랫폼 시장 : 성장 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2024-2032년)

The Global Automotive Intelligent Cockpit Platform Market was valued at USD 8.1 billion in 2023 and is anticipated to grow at 12% CAGR from 2024 to 2032. A key driver of this growth is the widespread implementation of 5G networks, which enhance connectivity for vehicles, enabling faster and more reliable communication. As of late 2023, many 5G networks have been established globally, and significant increases in population coverage are expected soon. 5G technology delivers improved bandwidth and reduced latency, both critical for enabling sophisticated real-time services such as high-definition mapping and over-the-air updates. With the ongoing expansion of 5G infrastructure, new cockpit functionalities are emerging, including advanced remote diagnostics, augmented reality navigation, and high-definition video streaming, which drive demand for next-generation cockpit platforms.

The market is categorized into hardware, software, and services based on its components. In 2023, the hardware segment was the dominant player, capturing over 55% of the market share, and it is expected to exceed USD 12 billion by 2032. The automotive industry is increasingly embracing advanced System-on-Chip (SoC) solutions to manage the complexity of modern cockpit systems. These processors utilize multi-core architectures and AI accelerators, enabling the support of real-time 3D graphics, multiple high-resolution displays, and sophisticated voice recognition functionalities. Based on platform type, the high-level integration segment accounted for approximately 50% of the market share in 2023, driven by the increasing adoption of software-defined vehicles.

Intelligent cockpit platforms are at the forefront of this transition, designed with a focus on software that enhances flexibility and upgradability throughout the vehicle's lifespan. Key elements of this segment involve service-oriented architectures (SOA), microservices, and containerization, which promote modular and scalable software development. The U.S. market for automotive intelligent cockpit platforms is anticipated to surpass USD 3 billion by 2032. A significant trend is the shift toward AI-driven personalization in intelligent cockpits, as automakers increasingly deploy machine learning algorithms to enhance the driving experience. These innovative systems can adapt to individual driver preferences, automatically adjusting features such as climate control, seating arrangements, and entertainment options while utilizing facial or biometric recognition to tailor the cockpit environment for various drivers

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates and calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimates
• 1.3 Forecast model
• 1.4 Primary research & validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Software and middleware providers
  • 3.2.2 Automotive OEMs
  • 3.2.3 Tier-1 suppliers
  • 3.2.4 Technology integrators
  • 3.2.5 End users
• 3.3 Profit margin analysis
• 3.4 Technology differentiators
  • 3.4.1 Multi-modal interaction
  • 3.4.2 Predictive assistance
  • 3.4.3 Multi-display setups
  • 3.4.4 Autonomous mode transitions
  • 3.4.5 Others
• 3.5 Key news & initiatives
• 3.6 Regulatory landscape
• 3.7 Impact forces
  • 3.7.1 Growth drivers
    • 3.7.1.1 Increasing rollout of 5G networks
    • 3.7.1.2 Rising consumer demand for connected experiences
    • 3.7.1.3 Increasing emphasis on personalization and enhanced user experience
    • 3.7.1.4 Proliferation of electric vehicles
  • 3.7.2 Industry pitfalls & challenges
    • 3.7.2.1 Hardware limitations
    • 3.7.2.2 Software update challenges
• 3.8 Growth potential analysis
• 3.9 Porter's analysis
• 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Vehicle, 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Passenger vehicles
• 5.3 Commercial vehicles

Chapter 6 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 Hardware
  • 6.2.1 Display systems
  • 6.2.2 Sensors
  • 6.2.3 ECUs
  • 6.2.4 Others
• 6.3 Software
• 6.4 services

Chapter 7 Market Estimates & Forecast, By Platform, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 SoC-based
• 7.3 High-level integration
• 7.4 Personalized

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Infotainment
• 8.3 Navigation
• 8.4 Driver assistance
• 8.5 Connectivity & communication
• 8.6 Climate control
• 8.7 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 UK
  • 9.3.2 Germany
  • 9.3.3 France
  • 9.3.4 Spain
  • 9.3.5 Italy
  • 9.3.6 Russia
  • 9.3.7 Nordics
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 South Korea
  • 9.4.5 ANZ
  • 9.4.6 Southeast Asia
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 South Africa
  • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

• 10.1 Advanced Micro Devices, Inc.
• 10.2 Aptiv plc
• 10.3 Continental AG
• 10.4 Denso Corporation
• 10.5 DXC Technology Company
• 10.6 ECARX Holdings, Inc.
• 10.7 Elektrobit
• 10.8 Forvia Hella
• 10.9 Herman International
• 10.10 Infineon Technologies AG
• 10.11 Intel Corporation
• 10.12 LG Electronics
• 10.13 MediaTek Inc
• 10.14 MobileDrive
• 10.15 Neusoft Corporation.
• 10.16 NVIDIA Corporation
• 10.17 NXP Semiconductors
• 10.18 Panasonic Automotive Systems Co., Ltd.
• 10.19 Qualcomm Technologies, Inc.
• 10.20 Robert Bosch GmbH
• 10.21 Visteon Corporation