自主系統驗證
市場調查報告書
商品編碼
1799624

自主系統驗證

Verification for Autonomous Systems

出版日期: | 出版商: VDC Research Group, Inc. | 英文 62 Pages/9 Exhibits; plus 422 Exhibits/Excel | 商品交期: 最快1-2個工作天內

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簡介目錄

在航空航太與國防、汽車與交通運輸以及工業自動化領域,以自主系統取代人類的趨勢正在迅速發展。為確保這些系統的安全性、可靠性和合規性,需要強大可靠的驗證解決方案,這構成了一項重大的技術挑戰,尤其是在人為幹預極少或完全不存在的情況下。此外,自主系統的應用場景不斷演變、運作設計領域日益多樣化,以及國家和地區法規的差異,都進一步加劇了驗證過程的複雜性。

傳統的驗證方法已不足以應付自主系統的測試。為了應對這些挑戰,業界正在轉向先進的基於模擬的驗證解決方案,以支援系統整個生命週期的驗證。這些平台能夠在各種複雜場景下對感測器資料、感知演算法和控制邏輯進行虛擬測試。將人工智慧整合到這些工具中,能夠幫助開發人員加速學習、自動化驗證工作流程並產生逼真的環境,從而提高自主系統開發的準確性和可擴展性。

本報告分析了目前自主系統專用驗證工具的現狀,重點介紹了領先解決方案的功能、應用領域和市場趨勢。報告還指出了基於模擬的驗證技術的新興趨勢,並提出了實現高可靠性自主系統的最佳實踐。此外,報告還包含了基於VDC "工程師之聲" 調查的最終使用者見解。

本報告解答了哪些問題?

  • 自主系統驗證解決方案的市場規模有多大?到2029年,其成長速度將如何?
  • 哪些垂直產業和地區成長最快?
  • 主要的合作關係、收購、標準化和法規如何影響市場?
  • 預計自主系統將在哪些地區廣泛應用?
  • 人工智慧如何用於自動化自主系統驗證?
  • 哪些供應商在自主系統驗證市場中處於領先地位?

本報告中提及的機構

  • Alibaba
  • Apex.AI
  • Apollo.auto
  • Applied Intuition
  • Aptiv
  • Arm
  • AVL
  • Baidu
  • BMW
  • Bosch
  • Cadence
  • CARLA
  • Continental
  • dSPACE
  • Elektrobit
  • ETAS
  • Fortellix
  • General Motors
  • Hexagon
  • IPG Automotive
  • Lockheed Martin
  • MathWorks
  • Mercedes-Benz
  • NASA
  • NVIDIA
  • Qualcomm
  • Siemens/Altair Engineering
  • Samsung
  • Seoul Robotics
  • SOAFEE
  • Synopsys/Ansys
  • Tesla
  • Uber
  • Unreal Engine
  • Vector Informatik
  • Waymo
  • Volkswagen Group
  • Xiaomi

報告摘錄

驗證和確認活動的時機

據受訪者稱,許多工程組織在產品生命週期的早期就開始製定模擬需求。近一半 (46.9%) 的組織在架構設計階段就開始這些流程,另有相當一部分 (46.5%) 的組織在設計實現階段就開始。這種早期做法反映了業界的共識:在開發早期識別和解決潛在問題可以顯著降低後期流程的成本和風險。

然而,只有少數組織在概念設計階段就開始製定模擬需求,只有 26.5% 的組織在創建需求文件時才開始。此外,26.1% 的組織會將流程推遲到實體原型可用時才開始,這種做法效率低下,並且往往會增加變更所需的成本和時間。這些結果表明,在開發過程早期整合模擬技術的重要性日益凸顯,這與基於模型的設計、模擬驅動的驗證以及虛擬原型設計策略相一致,這些策略正逐漸成為領先的自主系統工程專案的標準做法。

樣品預覽

目錄

本報告探討的關鍵問題

本報告的讀者對象

本報告中提及的主要組織一覽

摘要整理

  • 主要調查結果

簡介

  • 市場成長的要素
  • 新興技術新的方法
  • 課題與市場缺口

全球市場概要

垂直市場

  • 航太·防衛
  • 汽車系統
  • CE產品
  • 工業自動化
  • 醫療設備
  • 運輸

地區市場

  • 南北美洲
  • 歐洲·中東·非洲
  • 亞太地區
  • 自規則系統相關全球法規情形

最近的市場趨勢

  • 收購,聯盟,市場轉換
  • 組織·架構
    • Autonomous Vehicle Computing Association
    • The Autoware Foundation
    • CARLA
    • Future Airborne Capability Environment
    • Cloud Native Computing Foundation
    • IEEE Robotics & Automation Society
    • NASA
    • SOAFEE
  • 相關規格
    • RTCA/EUROCAE DO-178C
    • ASAM
    • EN 50128
    • ISO/IEC TR 5469 (2024)
    • IEEE 7009-2024
    • IEEE 7001-2021
    • ISO/PAS 8800及ISO 21448
    • NIST
    • UL 4600

競爭情形

  • 主要供應商的洞察
    • Apex.AI
    • Applied Intuition
    • Cadence
    • dSPACE
    • Elektrobit (Continental)
    • ETAS
    • Hexagon
    • MathWorks
    • NVIDIA
    • Siemens
    • Synopsys/Ansys
    • Vector Informatik

終端用戶洞察

  • 市場優先事項及自主系統驗證的重要性
  • 工程工程延誤的推動因素
  • 驗證和確認活動的時機安排

關於作者

簡介目錄

Inside this Report

The aerospace/defense, automotive/transportation, and industrial automation industries are increasingly using autonomous systems to replace human or human-controlled operations. The need for robust and dependable verification solutions to ensure the safety, reliability, and compliance of these solutions, especially in use cases where human intervention is minimal or nonexistent, presents a critical technical challenge. The complex verification process is compounded by the rapid advancement of autonomous use-cases, operational design domains and varying country- or region- specific regulations.

Traditional verification approaches are increasingly inadequate for the testing autonomous systems. To address these challenges, the industry is turning to advanced, simulation-based validation solutions that support verification throughout the system's lifecycle. Advanced simulation platforms are increasingly enabling virtual testing of sensor data, perception systems, and control algorithms across diverse and complex scenarios. By integrating AI into these tools, developers can accelerate training, automate validation workflows, and generate more realistic environments, enhancing the accuracy and scalability of autonomous system development.

This report explores the current landscape of verification tools tailored for autonomous systems. It analyzes the capabilities and applications of leading solutions, highlights emerging trends in simulation-based validation, and provides insights into best practices for achieving high-assurance autonomy. As part of VDC's continued efforts to engage with the technology markets we research, this report includes end user insights from VDC's "Voice of the Engineer" survey.

What Questions are Addressed?

  • What is the size of the market for autonomous systems verification solutions and how fast will it grow through 2029?
  • Which vertical and regional markets are growing the fastest?
  • How are key partnerships, acquisitions, standards, and regulations shaping the market?
  • Which markets are primed for widespread adoption of autonomous systems?
  • How is Artificial Intelligence used to automate autonomous system verification?
  • Which vendors are leading the autonomous system verification market?

Organizations Listed in this Report:

  • Alibaba
  • Apex.AI
  • Apollo.auto
  • Applied Intuition
  • Aptiv
  • Arm
  • AVL
  • Baidu
  • BMW
  • Bosch
  • Cadence
  • CARLA
  • Continental
  • dSPACE
  • Elektrobit
  • ETAS
  • Fortellix
  • General Motors
  • Hexagon
  • IPG Automotive
  • Lockheed Martin
  • MathWorks
  • Mercedes-Benz
  • NASA
  • NVIDIA
  • Qualcomm
  • Siemens / Altair Engineering
  • Samsung
  • Seoul Robotics
  • SOAFEE
  • Synopsys / Ansys
  • Tesla
  • Uber
  • Unreal Engine
  • Vector Informatik
  • Waymo
  • Volkswagen Group
  • Xiaomi

Who Should Read this Report?

  • CEO or other C-level executives
  • Corporate development and M&A teams
  • Marketing executives
  • Business development and sales leaders
  • Product development and strategy leaders
  • Channel management and channel strategy leaders

Executive Summary

The rapid advancement of autonomous system technologies, related multi-sensor interfaces and complex edge- case scenarios, is creating a mix of test challenges and opportunities. As systems adopt increasingly sophisticated AI algorithms for sensing and perception, decision-making and environmental adaptation, each technological advancement requires an assessment of the verification and validation (V&V) processes to ensure safety and performance. Verification is an objective set of tests that confirm that the product meets requirement's metrics, while validation seeks to demonstrate that the product meets its original intent.

Verifying the performance, safety and reliability of autonomous systems remains a fundamentally difficult problem. The complexity of multiple sensor inputs, dynamic real-world environments, AI decision-making trust, and the lack of standardized verification practices generate friction points that can potentially slow an autonomous system's time-to-market timeline and increase risk.

The aforementioned factors, along with increased regulatory oversight, recent mergers and acquisition activity and partnerships, are driving change in the traditional makeup of the software and hardware development supply chain, creating increased opportunities for companies offering verification solutions for autonomous systems.

Key Findings:

  • Advanced simulation solutions are used in the verification and validation of autonomous systems, alleviating many of the limitations of real-world testing.
  • Engineering organizations begin simulation verification and validation requirements early in the product lifecycle during architecture development and nearly the same proportion at design implementation.
  • Merger and acquisition activity in the autonomous system verification market has led to increased consolidation among key players. This convergence of simulation and verification tool domains and functionalities has significantly enhanced platform capabilities.
  • Fatal accidents involving autonomous vehicles in the U.S and China have increased regulatory scrutiny and will significantly drive demand for autonomous system verification solutions.

Report Excerpt

Timing of Verification and Validation Activities

Respondents indicate that most engineering organizations initiate simulation requirement activities early in the product lifecycle. Nearly half of respondents (46.9%) report beginning these processes as the architecture is being developed, closely followed by 46.5% who start as the design is being implemented. This early engagement reflects the industry's recognition that identifying and addressing potential issues during foundational stages can significantly reduce downstream costs and risks.

By contrast, fewer organizations initiate simulation requirements during the earliest conceptual stage, with 26.5% starting as the requirements are being written. Similarly, 26.1% delay the process until physical prototypes are available, a stage where changes are typically more expensive and time-consuming to implement. These findings underscore the growing emphasis on integrating simulation earlier in the development pipeline, aligning with model-based design, simulation-driven validation, and virtual prototyping strategies that are becoming standard in advanced autonomous engineering programs.

Sample preview

Table of Contents

What Questions are Addressed?

Who Should Read this Report?

Organizations Listed in this Report

Executive Summary

  • Key Findings

Introduction

  • Drivers of Market Growth
  • Emerging Technologies and Approaches
  • Challenges and Market Gaps

Global Market Overview

Vertical Markets

  • Aerospace and Defense
  • Automotive In-Vehicle
  • Consumer Electronics
  • Industrial Automation
  • Medical Devices
  • Transportation

Regional Markets

  • The Americas
  • Europe, the Middle East & Africa (EMEA)
  • Asia-Pacific (APAC)
    • MIIT Tightens AV Testing Rules After Deadly Xiaomi SU7 Crash
  • Global Regulatory Landscape for Autonomous Systems

Recent Market Developments

  • Acquisitions, Partnerships and Market Pivots
    • Synopsys Acquires ANSYS to Create a Silicon-to-Systems Platform
    • From Simulation to Industrial AI - Siemens' $10.6B Move for Altair Engineering
    • Applied Intuition Expands Simulation Capabilities with Mechanical Simulation Acquisition
  • Organizations and Frameworks
    • Autonomous Vehicle Computing Association
    • The Autoware Foundation
    • CARLA
    • Future Airborne Capability Environment
    • Cloud Native Computing Foundation
    • IEEE Robotics & Automation Society
    • NASA
    • SOAFEE
  • Relevant Standards
    • RTCA/EUROCAE DO-178C
    • ASAM
    • EN 50128
    • ISO/IEC TR 5469 (2024)
    • IEEE 7009-2024
    • IEEE 7001-2021
    • ISO/PAS 8800 and ISO 21448
    • NIST
    • UL 4600

Competitive Landscape

  • Selected Vendor Insights
    • Apex.AI
    • Applied Intuition
    • Cadence
    • dSPACE
    • Elektrobit (Continental)
    • ETAS
    • Hexagon
    • MathWorks
    • NVIDIA
    • Siemens
    • Synopsys / Ansys
    • Vector Informatik

End-User Insights

  • Market Priorities and the Critical Role of Autonomous Systems Verification
  • Attributions of Delays in Engineering Projects
  • Timing of Verification and Validation Activities

About the Authors

List of Exhibits

  • Exhibit 1: Worldwide Revenue for Autonomous System Verification Solutions
  • Exhibit 2: Worldwide Revenue for Autonomous System Verification Solutions, by Vertical Market
  • Exhibit 3: Percentage of Worldwide Revenue for Autonomous System Verification Solutions, by Vertical Market
  • Exhibit 4: Worldwide Revenue for Autonomous System Verification Solutions 2024 & 2029, by Geographic Region
  • Exhibit 5: Percentage of Worldwide Revenue for Autonomous System Verification Solutions 2024 & 2029, by Geographic Region
  • Exhibit 6: Worldwide Autonomous System Verification Solutions, Share by Vendor
  • Exhibit 7: Technologies Automotive Respondent's Organization is Most Interested in and/or Building for Future Customers
  • Exhibit 8: Attributions of Delays to Automotive Projects
  • Exhibit 9: Timing of Simulation Requirements

IoT & Embedded Engineering Survey (Partial)

  • Exhibit 1: Primary Role Within Company/Organization
  • Exhibit 2: Respondent's Organization's Primary Industry
  • Exhibit 3: Total Number of Employees at Respondent's Organization
  • Exhibit 4: Primary Region of Residence
  • Exhibit 5: Primary Country of Residence
  • Exhibit 6: Type of Most Current or Recent Project
  • Exhibit 7: Involvement with Engineering of an Embedded/Edge, Enterprise/IT, HPC, AI/ML, or Mobile/System Device or Solution
  • Exhibit 8: Type of Purchase by Respondent's Organization
  • Exhibit 9: Primary Industry Classification of Project
  • Exhibit 10: Type of Aerospace & Defense Application for Most Recent Project
  • Exhibit 11: Type of Automotive In-Vehicle Application for Most Recent Project
  • Exhibit 12: Type of Communications & Networking Application for Most Recent Project
  • Exhibit 13: Type of Consumer Electronics Application for Most Recent Project
  • Exhibit 14: Type of Digital Security Application for Most Recent Project
  • Exhibit 15: Type of Digital Signage Application for Most Recent Project
  • Exhibit 16: Type of Energy and Utilities Application for Most Recent Project
  • Exhibit 17: Type of Gaming Application for Most Recent Project
  • Exhibit 18: Type of Industrial Automation Application for Most Recent Project
  • Exhibit 19: Type of Media & Broadcasting Application for Most Recent Project
  • Exhibit 20: Type of Medical Device Application for Most Current Project
  • Exhibit 21: Type of Mobile Phone
  • Exhibit 22: Type of Office/Business Automation Application for Most Recent Project
  • Exhibit 23: Type of Transportation Application for Most Recent Project
  • Exhibit 24: Type of Retail Automation Application for Most Recent Project
  • Exhibit 25: Type of Non-Manufacturing/Services Application for Most Recent Project

For the full list of the 416 IoT & Embedded Technology Voice of the Engineer Survey Exhibits available with this report.