軍事模擬與訓練市場機會、成長動力、產業趨勢分析及 2025 - 2034 年預測

2024年，全球軍事模擬與訓練市場規模達137億美元，預計到2034年將以5.3%的複合年成長率成長，達到228億美元。這主要得益於全球國防開支的成長，而這將繼續推動對先進、安全且經濟高效的訓練系統的需求。隨著國防部隊尋求切實可行且經濟的解決方案，對高科技模擬工具的需求激增。雖然實戰演習仍然至關重要，但模擬平台有助於降低作戰風險，並最大限度地降低與實戰訓練相關的成本，例如設備磨損和燃料消耗。

然而，過去的貿易緊張局勢，尤其是對中國電子產品徵收的關稅，擾亂了供應鏈，並增加了美國國防承包商的生產成本。人工智慧 (AI)、數位孿生和沈浸式擴增實境/虛擬實境 (AR/VR) 等技術進步改變了軍事模擬和訓練格局。這些創新使國防部隊能夠以無與倫比的真實感和效率模擬高度複雜的多域場景。人工智慧驅動的訓練系統現在可以適應使用者行為，提供個人化的學習路徑，並根據即時決策模式預測結果。數位孿生——實體系統的虛擬複製品——使國防人員能夠與來自設備、車輛或整個環境的即時資料進行交互，從而促進更好的戰略規劃和作戰準確性。

就模擬類型而言，軍事模擬與訓練市場中的實戰訓練部分在2024年創造了66.1億美元的收入。儘管虛擬和建設性模擬技術正在不斷發展，但實戰演習在提供真實戰鬥體驗方面仍然無可比擬，並且對於複煞車態戰鬥場景至關重要。對聯合訓練任務的日益重視也提升了對大規模實戰模擬的需求，而隨著雷射武器替代品和混合系統的創新，實戰模擬正變得越來越有效。

2024年，軍事模擬與訓練市場中的機載模擬部分價值達56.3億美元，這得益於下一代飛機和無人機的日益普及，推動了對用於複雜任務規劃、航電訓練和高級駕駛的高度專業化模擬器的需求。隨著飛行營運成本的日益成長，基於模擬的訓練提供了一種經濟高效的替代方案，可以減少技能發展所需的實際飛行小時數，尤其對於高維護成本的飛機而言。

2024年，美國軍事模擬與訓練市場規模達43億美元，這得益於國防開支的大幅成長，以及對訓練基礎設施現代化的重視。美國正在開發整合數位孿生技術的下一代類比環境，能夠即時鏡像戰場狀況，從而實現更精準、數據更豐富的作戰準備。此外，以合成環境和基於雲端的訓練生態系統為中心的舉措正在廣泛應用，確保部隊能夠在跨領域和複雜的聯合作戰場景中協同作戰。

為了在競爭中保持強勢地位，洛克希德·馬丁、諾斯羅普·格魯曼、BAE系統公司、CAE、柯林斯航太、薩博、泰雷茲、埃爾比特系統公司、波音、萊茵金屬、L3哈里斯科技、新科工程、康斯伯格海事、Indra Sistemas、Leonardo DRS、Cubic Corporation、哈里斯科技、新科工程、康斯伯格海事、Indra Sistemas、Leonardo DRS、Cubic Corporation、德事隆系統互動公司等幾家主要核心戰略公司。這些策略包括與國防部門合作、拓展新興市場以及投資擴增實境、人工智慧和虛擬實境技術的研發。許多公司正在升級現有的模擬器，以整合即時資料和跨領域訓練工具，而其他一些公司則正在整合基於雲端的遠端訓練平台。

目錄

第1章：方法論與範圍

第2章：執行摘要

第3章：行業洞察

• 產業生態系統分析
• 川普政府關稅
  • 對貿易的影響
    • 貿易量中斷
    • 報復措施
  • 對產業的影響
    • 供給側影響
      • 關鍵零件價格波動
      • 供應鏈重組
      • 生產成本影響
    • 需求面影響（售價）
      • 價格傳導至終端市場
      • 市佔率動態
      • 消費者反應模式
  • 受影響的主要公司
  • 策略產業回應
    • 供應鏈重構
    • 定價和產品策略
    • 政策參與
  • 展望與未來考慮
• 產業衝擊力
  • 成長動力
    • 全球國防預算增加
    • 對經濟高效且安全的培訓解決方案的需求不斷成長
    • 採用網路中心戰理論
    • 越來越重視無人系統訓練（無人機、無人地面車輛、無人水面艇）
    • VR/AR 與 AI 的技術進步
  • 產業陷阱與挑戰
    • 初期投資成本高
    • 與遺留系統的複雜整合
• 成長潛力分析
• 監管格局
• 技術格局
• 未來市場趨勢
• 差距分析
• 波特的分析
• PESTEL分析

第4章：競爭格局

• 介紹
• 公司市佔率分析
• 主要市場參與者的競爭分析
• 競爭定位矩陣
• 策略儀表板

第5章：市場估計與預測：按類型，2021 年至 2034 年

• 主要趨勢
• 居住
• 虛擬的
• 建設性的

第6章：市場估計與預測：按平台，2021 年至 2034 年

• 主要趨勢
• 土地
• 海上
• 空降

第7章：市場估計與預測：按解決方案，2021 年至 2034 年

• 主要趨勢
• 產品
• 服務

第8章：市場估計與預測：按模擬類型，2021 年至 2034 年

• 主要趨勢
• 飛行模擬器
• 車輛模擬器
• 戰鬥模擬系統
• 指揮與控制模擬器
• 其他

第9章：市場估計與預測：按地區，2021 年至 2034 年

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 英國
  • 法國
  • 西班牙
  • 義大利
  • 荷蘭
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
• 中東和非洲
  • 沙烏地阿拉伯
  • 南非
  • 阿拉伯聯合大公國

第10章：公司簡介

• BAE Systems
• Bohemia Interactive Simulations
• CAE
• Collins Aerospace
• Cubic Corporation
• Elbit Systems
• Indra Sistemas
• Kongsberg Maritime
• L3Harris Technologies
• Leonardo DRS
• Lockheed Martin
• Northrop Grumman
• Rheinmetall
• Saab
• ST Engineering
• Textron Systems
• Thales
• The Boeing Company

The Global Military Simulation and Training Market was valued at USD 13.7 billion in 2024 and is estimated to grow at a CAGR of 5.3% to reach USD 22.8 billion by 2034, driven by the rise in defense spending globally, which continues to drive the need for advanced, safe, and cost-efficient training systems. As defense forces seek realistic yet economical solutions, demand for high-tech simulation tools has surged. While live combat drills remain crucial, simulation platforms help reduce operational risks and minimize costs associated with real-life training, such as equipment wear and fuel consumption.

However, past trade tensions, especially tariffs on Chinese electronics, disrupted the supply chain and increased production costs for US defense contractors. Technological advancements like artificial intelligence (AI), digital twins, and immersive AR/VR transform the military simulation and training landscape. These innovations enable defense forces to simulate highly complex, multi-domain scenarios with unparalleled realism and efficiency. AI-driven training systems can now adapt to user behavior, deliver personalized learning paths, and predict outcomes based on real-time decision-making patterns. Digital twins-virtual replicas of physical systems-allow defense personnel to interact with real-time data from equipment, vehicles, or entire environments, facilitating better strategic planning and operational accuracy.

In terms of simulation type, the live training segment in the military simulation and training market generated USD 6.61 billion in 2024. Although virtual and constructive simulations are advancing, live exercises remain unmatched in delivering authentic combat experiences and are crucial for replicating dynamic battle scenarios. The growing emphasis on joint training missions has also elevated the need for large-scale live simulations, which are becoming more effective with innovations in laser-based weapon substitutes and hybrid systems.

The airborne simulation segment in the military simulation and training market was valued at USD 5.63 billion in 2024, driven by the rising adoption of next-generation aircraft and UAVs has pushed demand for highly specialized simulators designed for complex mission planning, avionics training, and advanced piloting. With flight operations becoming more expensive, simulation-based training offers a cost-effective and efficient alternative, reducing the number of real flying hours needed for skill development, particularly for high-maintenance aircraft.

United States Military Simulation and Training Market generated USD 4.3 billion in 2024, driven by substantial increases in defense spending, coupled with a focused commitment to modernizing training infrastructure. The country is developing next-gen simulation environments integrating digital twin technologies, enabling real-time mirroring of battlefield conditions for more accurate and data-rich preparation. Moreover, initiatives centered on synthetic environments and cloud-based training ecosystems are gaining widespread adoption, ensuring forces to operate cohesively across domains and in complex joint-force scenarios.

To maintain a strong position in the competitive landscape, key companies like Lockheed Martin, Northrop Grumman, BAE Systems, CAE, Collins Aerospace, Saab, Thales, Elbit Systems, Boeing, Rheinmetall, L3Harris Technologies, ST Engineering, Kongsberg Maritime, Indra Sistemas, Leonardo DRS, Cubic Corporation, Textron Systems, and Bohemia Interactive Simulations are focusing on several core strategies. These include partnerships with defense departments, expansion into emerging markets, and investments in R&D for AR, AI, and VR capabilities. Many are upgrading existing simulators to incorporate real-time data and cross-domain training tools, while others are integrating cloud-based platforms for remote training.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates and calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Trump Administration Tariffs
  • 3.2.1 Impact on Trade
    • 3.2.1.1 Trade Volume Disruptions
    • 3.2.1.2 Retaliatory Measures
  • 3.2.2 Impact on the Industry
    • 3.2.2.1 Supply-Side Impact
      • 3.2.2.1.1 Price Volatility in Key Components
      • 3.2.2.1.2 Supply Chain Restructuring
      • 3.2.2.1.3 Production Cost Implications
    • 3.2.2.2 Demand-Side Impact (Selling Price)
      • 3.2.2.2.1 Price Transmission to End Markets
      • 3.2.2.2.2 Market Share Dynamics
      • 3.2.2.2.3 Consumer Response Patterns
  • 3.2.3 Key Companies Impacted
  • 3.2.4 Strategic Industry Responses
    • 3.2.4.1 Supply Chain Reconfiguration
    • 3.2.4.2 Pricing and Product Strategies
    • 3.2.4.3 Policy Engagement
  • 3.2.5 Outlook and Future Considerations
• 3.3 Industry impact forces
  • 3.3.1 Growth drivers
    • 3.3.1.1 Increased defense budgets worldwide
    • 3.3.1.2 Rising demand for cost-effective and safe training solutions
    • 3.3.1.3 Adoption of network-centric warfare doctrines
    • 3.3.1.4 Growing focus on unmanned systems training (UAVs, UGVs, USVs)
    • 3.3.1.5 Technological advancements in VR/AR and AI
  • 3.3.2 Industry pitfalls and challenges
    • 3.3.2.1 High initial investment costs
    • 3.3.2.2 Complex integration with legacy systems
• 3.4 Growth potential analysis
• 3.5 Regulatory landscape
• 3.6 Technology landscape
• 3.7 Future market trends
• 3.8 Gap analysis
• 3.9 Porter's analysis
• 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Type, 2021 – 2034 (USD Million)

• 5.1 Key trends
• 5.2 Live
• 5.3 Virtual
• 5.4 Constructive

Chapter 6 Market Estimates and Forecast, By Platform, 2021 – 2034 (USD Million)

• 6.1 Key trends
• 6.2 Land
• 6.3 Maritime
• 6.4 Airborne

Chapter 7 Market Estimates and Forecast, By Solution, 2021 – 2034 (USD Million)

• 7.1 Key trends
• 7.2 Product
• 7.3 Services

Chapter 8 Market Estimates and Forecast, By Simulation Type, 2021 – 2034 (USD Million)

• 8.1 Key trends
• 8.2 Flight simulators
• 8.3 Vehicle simulators
• 8.4 Combat simulation systems
• 8.5 Command & control simulators
• 8.6 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021 – 2034 (USD Million)

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

Chapter 10 Company Profiles

• 10.1 BAE Systems
• 10.2 Bohemia Interactive Simulations
• 10.3 CAE
• 10.4 Collins Aerospace
• 10.5 Cubic Corporation
• 10.6 Elbit Systems
• 10.7 Indra Sistemas
• 10.8 Kongsberg Maritime
• 10.9 L3Harris Technologies
• 10.10 Leonardo DRS
• 10.11 Lockheed Martin
• 10.12 Northrop Grumman
• 10.13 Rheinmetall
• 10.14 Saab
• 10.15 ST Engineering
• 10.16 Textron Systems
• 10.17 Thales
• 10.18 The Boeing Company