市場調査レポート
商品コード
1497686
自律走行プロセッサの世界市場:タイプ別、ドライブタイプ別、車両タイプ別 - 予測(2024~2030年)Autonomous Vehicle Processor Market by Type (Centralized Processing, Distributed Processing), Drive Type (Fully Autonomous, Semi-autonomous), Vehicle Type - Global Forecast 2024-2030 |
● お客様のご希望に応じて、既存データの加工や未掲載情報(例:国別セグメント)の追加などの対応が可能です。 詳細はお問い合わせください。
自律走行プロセッサの世界市場:タイプ別、ドライブタイプ別、車両タイプ別 - 予測(2024~2030年) |
出版日: 2024年06月05日
発行: 360iResearch
ページ情報: 英文 199 Pages
納期: 即日から翌営業日
|
世界の自律走行プロセッサの市場規模は、2023年に15億7,000万米ドル、2024年には20億1,000万米ドルに達し、CAGR 28.09%で成長し、2030年には89億3,000万米ドルに達すると予測されています。
自律走行プロセッサは、自動運転車の複雑な計算ニーズをサポートするために設計された専用ハードウェアを指します。自律走行システムの中核となるこれらのプロセッサは、カメラ、LiDAR、レーダー、超音波など、さまざまなセンサーから収集した大量のデータを迅速かつ効率的に処理する役割を担っています。自動車メーカーや技術系企業による自律走行車開発への投資が増加していることが、市場の大幅な成長につながっています。また、コネクテッドカーによる膨大なデータ処理を処理するための専用プロセッサに対する需要の高まりが、自律走行プロセッサの技術革新を促進しています。しかし、プロセッサの高い消費電力と開発の複雑さ、技術的な不具合やデータセキュリティ侵害に関連する懸念が、自律走行プロセッサの展開を制限しています。さらに、自律走行アルゴリズムを改善するためのAIと機械学習技術の進歩は、メーカーに有利な機会を生み出しています。
主な市場の統計 | |
---|---|
基準年[2023年] | 15億7,000万米ドル |
予測年[2024年] | 20億1,000万米ドル |
予測年[2030年] | 89億3,000万米ドル |
CAGR(%) | 28.09% |
地域別洞察
アメリカ地域は、技術とイノベーションのハブとして成長しているため、自律走行プロセッサの強力な市場となっています。Intel、NVIDIA、Qualcommをはじめとするテクノロジー大手の存在と相まって、消費者の準備態勢は自律走行技術への多大な投資と進歩をもたらしています。この分野の技術革新は、物体検出、意思決定アルゴリズム、エネルギー効率の高い処理に重点を置いています。顧客の購買行動からは、安全性と利便性に牽引されて自律走行機能への関心が高まっていることがうかがえます。欧州連合諸国は、自律走行車技術の成長を促進する積極的な規制環境を有しています。顧客は、輸送における安全性、持続可能性、効率性といった要因に動機づけられて、自動車の自律性に高い親和性を示しています。主な投資は、European Green Vehicle Initiative (EGVI)などの取り組みや、センサーフュージョンや通信システムにおける主な発展に見られます。アジア太平洋諸国は、政府のイニシアティブや投資を通じてこの分野を大きく支援しています。同地域の企業は、車両通信と車両用人工知能の分野で著しい進歩を遂げています。消費者ニーズは、都市化、交通管理ソリューション、モバイルサービスやデジタル商取引の進歩によってもたらされています。
FPNVポジショニングマトリックス
FPNVポジショニングマトリックスは、自律走行プロセッサ市場におけるベンダーの市場ポジショニングを評価する上で不可欠です。このマトリックスはベンダーの包括的な評価を提供し、事業戦略や製品満足度に関連する重要な指標を検証します。この詳細な評価により、ユーザーは自らの要件に沿った十分な情報に基づいた意思決定を行うことができます。評価に基づき、ベンダーは成功のレベルを表す4つの象限、すなわちForefront(F)、Pathfinder(P)、Niche(N)、Vital(V)に分類されます。
市場シェア分析
市場シェア分析は、自律走行プロセッサ市場におけるベンダーの現状について、洞察に満ちた詳細な評価を提供する包括的なツールです。ベンダーの貢献度を綿密に比較・分析することで、各ベンダーの業績や市場シェア争いの際に直面する課題について、より深い理解を得ることができます。これらの貢献には、全体的な収益、顧客ベース、その他の重要な指標が含まれます。さらに、この分析では、調査した基準年の期間に観察された蓄積、断片化の優位性、合併の特徴などの要因を含む、この分野の競合性に関する貴重な考察を提供しています。このような詳細な情報を得ることで、ベンダーは市場競争において優位に立つために、より多くの情報に基づいた意思決定を行い、効果的な戦略を考案することができます。
戦略分析と推奨
戦略分析は、世界市場で確固たる足場を築こうとする組織にとって不可欠です。企業は、自律走行プロセッサ市場における現在の地位を徹底的に評価することで、長期的な願望に沿った情報に基づいた意思決定を行うことができます。この重要な評価には、組織のリソース、能力、全体的なパフォーマンスを徹底的に分析し、中核となる強みと改善すべき領域を特定することが含まれます。
[199 Pages Report] The Autonomous Vehicle Processor Market size was estimated at USD 1.57 billion in 2023 and expected to reach USD 2.01 billion in 2024, at a CAGR 28.09% to reach USD 8.93 billion by 2030.
An autonomous vehicle processor refers to the specialized hardware designed to support the complex computational needs of self-driving vehicles. At the core of an autonomous driving system, these processors are responsible for rapidly and efficiently processing massive amounts of data collected from various sensors, including cameras, LiDAR, radar, and ultrasound. The increased investment by automakers and tech companies in autonomous vehicle development is owing to significant market growth. In addition, the growing demand for specialized processors to handle huge amounts of data processing by connected vehicles is driving innovations in autonomous vehicle processors. However, high power consumption and development complexity of processors and concerns associated with technological failures and data security breaches limit the deployment of autonomous vehicle processors. Furthermore, advancements in AI and machine learning technologies to improve autonomous driving algorithms create lucrative opportunities for manufacturers.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 1.57 billion |
Estimated Year [2024] | USD 2.01 billion |
Forecast Year [2030] | USD 8.93 billion |
CAGR (%) | 28.09% |
Regional Insights
The American region has a strong market for autonomous vehicle processors as it poses a growing hub for technology and innovation. Consumer readiness, coupled with the presence of technology giants including Intel, NVIDIA, and Qualcomm, results in significant investments and advancements in autonomous driving technology. Innovations in the field emphasize object detection, decision-making algorithms, and energy-efficient processing. Customer purchasing behavior shows a growing interest in autonomous features, led by safety and convenience factors. European Union countries have a proactive regulatory environment that fosters the growth of autonomous vehicle technology. Customers show a high affinity for autonomy in vehicles, motivated by factors such as safety, sustainability, and efficiency in transport. Major investments are seen in initiatives such as the European Green Vehicle Initiative (EGVI) and key developments in sensor fusion and communication systems. APAC countries heavily backed the sector through government initiatives and investments. Companies across the region are making significant advancements in vehicular communication and artificial intelligence for vehicles. Consumer needs are driven by urbanization, traffic management solutions, and advancements in mobile services and digital commerce.
Market Insights
The market dynamics represent an ever-changing landscape of the Autonomous Vehicle Processor Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Autonomous Vehicle Processor Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment 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, namely 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 assessment of the current state of vendors in the Autonomous Vehicle Processor Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. 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 these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Ambarella Unveils Full Software Stack for Autonomous and Semi-Autonomous Driving, Optimized for its CV3-AD Central AI Domain Controller Family
Ambarella, Inc. has unveiled an advanced autonomous driving (AD) software stack strategically integrated with its CV3-AD AI domain controller SoC family to deliver exceptional deep learning AI processing for autonomous vehicles. The software, intricately designed for synergy with CVflow AI engines, ensures maximum efficiency with reduced power consumption, a vital feature for the burgeoning EV market. The flexibility of Ambarella's solution accommodates automotive OEMs' unique configurations, allowing them to combine proprietary software with Ambarella's comprehensive modules, which include perception, sensor fusion, and an innovative deep learning-based dynamic vehicle planner. [Published On: 2023-12-12]
BYD and Nvidia enhance partnership for software-defined vehicles built on Nvidia Drive
BYD, the New Energy Vehicle (NEV) manufacturer, is expanding the integration of Nvidia's cutting-edge Drive Orin compute platform across their upcoming models, including the Dynasty and Ocean series. This enhanced integration marks a significant commitment to advancing automobiles into a programmable era dominated by high-performance, centralized computing. [Published On: 2023-03-24]
Foxconn Partners With NVIDIA to Build Automated Electric Vehicles
NVIDIA has forged a strategic alliance with Hon Hai Technology Group (Foxconn), a company in technology manufacturing, to pioneer new developments in automated and autonomous vehicle technology. As a pivotal aspect of this collaboration, Foxconn serves as the primary manufacturer of NVIDIA's DRIVE Orin electronic control units (ECUs), which are specially crafted for the worldwide automotive arena. The integration of the DRIVE Orin ECUs, coupled with DRIVE Hyperion sensors, endow Foxconn's electric vehicles (EVs) with advanced automated driving capabilities. [Published On: 2023-01-03]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Autonomous Vehicle Processor Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Autonomous Vehicle Processor Market, highlighting leading vendors and their innovative profiles. These include AiMotive by Stellantis N.V., Ambarella, Inc., Aptiv PLC, Asahi Kasei Corp., Continental AG, Denso Corporation, Hailo Technologies Ltd., Intel Corporation, KALRAY Corporation, Nidec Corp., NVIDIA Corporation, NXP Semiconductors N.V., PIXELPLUS Co. Ltd., Qualcomm Technologies, Inc., Renesas Electronic Corporation, Robert Bosch GmbH, Tesla, Inc., Texas Instruments Incorporated, and Xilinx, Inc..
Market Segmentation & Coverage