한글목차

세계의 배터리 시뮬레이션 소프트웨어 시장 규모는 2025년 22억 2,000만 달러에서 2030년에는 41억 9,000만 달러로 성장하며, 예측 기간 중 연평균 성장률(CAGR)은 13.6%로 예측됩니다.

배터리 시뮬레이션 소프트웨어 시장은 산업 수요와 학술 활동으로 인해 성장하고 있으며, UL Solutions와 NOVONIX와 같은 기업은 AI와 고급 모델링을 사용하여 배터리 수명 예측을 개선하기 위해 노력하고 있습니다. Battery Workforce Challenge와 같은 대학의 노력은 학생들에게 시뮬레이션 실습 경험을 제공합니다. 혁신을 추구하는 산업계와 유능한 인재를 제공하는 학계, 이 두 가지 모멘텀을 통해 배터리 시뮬레이션 툴은 기술적으로 진화할 뿐만 아니라 미래의 설계 프로세스에 원활하게 통합되어 EV, 에너지 저장 및 제조 분야에서 증가하는 요구를 충족시킬 수 있습니다.

리튬이온(Li-ion) 배터리는 전기자동차, 가전제품, 에너지 저장 시스템, 산업용으로 광범위하게 채택되고 있으며, 배터리 시뮬레이션 소프트웨어 시장에서 가장 큰 시장 점유율을 차지하고 있습니다. 이러한 배터리는 높은 에너지 밀도, 컴팩트한 크기, 긴 작동 수명으로 인해 효율성, 안전성, 내구성을 최적화하기 위한 고급 시뮬레이션 툴이 필요하며, EV 제조업체들은 열 관리, 수명 예측, 충방전 성능의 미세 조정에 리튬이온 시뮬레이션을 활용하고 있습니다. 리튬이온 시뮬레이션을 활용하고 있습니다. 항공우주 및 중공업 등의 분야에서는 정밀한 모델링을 통해 가혹한 작동 조건에서 배터리의 신뢰성을 보장하고 있습니다. 수명이 길고 안전하며 고성능의 리튬이온 시스템에 대한 수요가 증가함에 따라 시뮬레이션 소프트웨어는 기술 혁신을 가속화하고, 시제품 제작 비용을 절감하며, 다양한 고부가가치 이용 사례에서 엄격한 안전 및 성능 기준을 충족하는 데 필수적인 역할을 하고 있습니다.

북미는 전기자동차 보급, 기술 혁신, 전략적 투자로 인해 배터리 시뮬레이션 소프트웨어 시장에서 가장 큰 시장 규모를 차지하고 있습니다. 미국과 캐나다에서 전기자동차의 급속한 보급으로 인해 첨단 배터리 솔루션과 효율적인 제조 시스템에 대한 수요가 급증하고 있습니다. 하니웰의 배터리 MXP 및 AVL 테스트 플랫폼과 같은 혁신은 생산 효율을 크게 향상시키고 재료 낭비를 줄이며 고품질 생산을 보장합니다. 이와 함께 미국 에너지부의 QCS 프로그램과 같은 정부 주도의 노력과 민간 자금 지원으로 시뮬레이션 관련 연구개발이 가속화되고 있습니다. 또한 리튬 인산철 양극 제조 및 지역 배터리 공급망의 발전은 시뮬레이션 툴의 최적화를 지원하여 북미를 첨단 배터리 기술 개발의 주요 거점으로 자리매김하고 있습니다.

세계의 배터리 시뮬레이션 소프트웨어 시장에 대해 조사했으며, 시뮬레이션 유형별, 배터리 유형별, 최종 용도 산업별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.

목차

제1장 서론

제2장 조사 방법

제3장 개요

제4장 주요 인사이트

제5장 시장 개요와 업계 동향

• 서론
• 시장 역학
• 생성형 AI/AI가 배터리 시뮬레이션 소프트웨어 시장에 미치는 영향
• 사례 연구 분석
• 밸류체인 분석
• 에코시스템
• Porter's Five Forces 분석
• 가격 분석
• 기술 분석
• 특허 분석
• 규제 상황
• 주요 이해관계자와 구입 기준
• 고객 비즈니스에 영향을 미치는 동향/혼란
• 2024-2025년의 주요 컨퍼런스와 이벤트
• 투자와 자금조달 시나리오
• 2025년 미국 관세의 영향 - 개요

제6장 배터리 시뮬레이션 소프트웨어 시장(시뮬레이션 유형별)

• 서론
• 전기화학 시뮬레이션
• 열 시뮬레이션
• 구조 및 기계 시뮬레이션
• 전기 및 회로 시뮬레이션
• 기타

제7장 배터리 시뮬레이션 소프트웨어 시장(배터리 유형별)

• 서론
• 리튬이온(LI-ION) 배터리
• 납축전지
• 고체 배터리
• 기타

제8장 배터리 시뮬레이션 소프트웨어 시장(최종 용도 산업별)

• 서론
• EV 제조업체
• 자동차 OEM
• 배터리 제조업체
• 에너지 저장 시스템(ESS)
• 가전
• 항공우주
• 기타

제9장 배터리 시뮬레이션 소프트웨어 시장(지역별)

• 서론
• 북미
  • 북미 : 배터리 시뮬레이션 소프트웨어 시장 성장 촉진요인
  • 북미 : 거시경제 전망
  • 미국
  • 캐나다
• 유럽
  • 유럽 : 배터리 시뮬레이션 소프트웨어 시장 성장 촉진요인
  • 유럽 : 거시경제 전망
  • 영국
  • 독일
  • 프랑스
  • 이탈리아
  • 기타
• 아시아태평양
  • 아시아태평양 : 배터리 시뮬레이션 소프트웨어 시장 성장 촉진요인
  • 아시아태평양 : 거시경제 전망
  • 중국
  • 일본
  • 인도
  • 기타
• 기타 지역
  • 기타 지역 : 배터리 시뮬레이션 소프트웨어 시장 성장 촉진요인
  • 기타 지역 : 거시경제 전망
  • 중동 및 아프리카
  • 라틴아메리카

제10장 경쟁 구도

• 주요 참여 기업의 전략/강점, 2023-2025년
• 매출 분석, 2023-2025년
• 시장 점유율 분석, 2024년
• 브랜드 비교
• 기업 평가와 재무 지표
• 기업 평가 매트릭스 : 주요 참여 기업, 2024년
• 기업 평가 매트릭스 : 스타트업/중소기업, 2024년
• 경쟁 시나리오

제11장 기업 개요

• 주요 참여 기업
  • ANSYS
  • SIEMENS
  • ALTAIR ENGINEERING
  • MATHWORKS
  • DASSAULT SYSTEMES
  • AVL
  • ESI GROUP
  • RICARDO
  • INTERTEK
  • HEXAGON
  • SYNOPSYS
  • COMSOL
  • DSPACE
  • GAMMA TECHNOLOGIES
• 기타 기업
  • OPENCFD
  • PYBAMM
  • OORJA
  • SIMSCALE
  • TWAICE
  • IONWORKS
  • BATEMO
  • MAPLESOFT
  • FLEXSIM
  • RIDGETOP
  • THERMOANALYTICS

제12장 인접 시장

• 서론
• 제한 사항
• 배터리 시뮬레이션 소프트웨어 에코시스템과 관련 시장
• CAM 시장
• 시뮬레이션 소프트웨어 시장

제13장 부록

영문목차

The global battery simulation software market size is projected to grow from USD 2.22 billion in 2025 to USD 4.19 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 13.6% during the forecast period.

The battery simulation software market is growing due to both industrial demand and academic activities. As firms like UL Solutions and NOVONIX work to improve battery life forecasts using AI and sophisticated modeling, university initiatives like Gamma Technologies' Battery Workforce Challenge provide students with hands-on simulation experience. This dual momentum-from industry seeking innovation to academia providing a capable workforce-ensures that battery simulation tools not only evolve technologically but also seamlessly integrate into future design processes, meeting growing needs in the EV, energy storage, and manufacturing sectors.

"By battery type, the lithium-ion (Li-Ion) battery segment accounts for the largest market share during the forecast period."

Lithium-ion (Li-ion) batteries hold the largest market share in the battery simulation software market due to their extensive adoption across electric vehicles, consumer electronics, energy storage systems, and industrial applications. These batteries are preferred for their high energy density, compact size, and long operational lifespan, necessitating advanced simulation tools to optimize efficiency, safety, and durability. EV manufacturers depend on Li-ion simulation to fine-tune thermal management, lifecycle prediction, and charge-discharge performance. In sectors like aerospace and heavy industry, precise modeling ensures battery reliability under extreme operating conditions. As demand grows for longer-lasting, safer, and higher-performing Li-ion systems, simulation software becomes essential for accelerating innovation, reducing prototyping costs, and meeting stringent safety and performance standards across a wide range of high-value use cases.

"By region, North America accounts for the largest market share."

North America has the largest market size in the battery simulation software market due to a combination of strong EV adoption, technological innovation, and strategic investments. The rapid rise in electric vehicle use across the US and Canada is creating a pressing demand for advanced battery solutions and efficient manufacturing systems. Innovations such as Honeywell's Battery MXP and AVL's testing platforms are significantly improving production efficiency, reducing material waste, and ensuring high-quality output. In parallel, government-led initiatives like the US Department of Energy's QCS program and private-sector funding are accelerating simulation-related R&D. Additionally, progress in lithium iron phosphate cathode manufacturing and regional battery supply chains supports the optimization of simulation tools, positioning North America as the leading hub for advanced battery technology development.

Breakdown of primaries

The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The breakdown of the primaries is as follows:

• By Company Type: Tier 1 - 40%, Tier 2 - 35%, and Tier 3 - 25%
• By Designation: C-level - 45%, Directors - 35%, and Managers - 20%
• By Region: North America - 40%, Europe - 30%, Asia Pacific - 20%, RoW - 10%

The key players in the battery simulation software market include Ansys (US), Siemens (Germany), AVL (Austria), MathWorks (US), Dassault Systemes (France), Altair Engineering (US), ESI Group (France), Ricardo (UK), Intertek (UK), Hexagon (Sweden), Synopsys (US), COMSOL (US), dSPACE (Germany), Gamma Technologies (US), and others.

The study includes an in-depth competitive analysis of the key players in the battery simulation software market, their company profiles, recent developments, and key market strategies.

Research Coverage

The report segments the battery simulation software market and forecasts its size by simulation type (electrochemical simulation, thermal simulation, structural & mechanical simulation, electrical & circuit simulation, and other simulation type), battery type (lithium-ion (Li-ion) batteries, lead-acid batteries, solid-state batteries, and other battery types), end-use industry (EV manufacturers, automotive OEMs, battery manufacturers, energy storage systems (ESS), consumer electronics, aerospace, and other end-users) and region [North America, Europe, Asia Pacific, and Rest of the World].

The study also includes an in-depth competitive analysis of the market's key players, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report will help market leaders and new entrants with information on the closest approximations of the revenue numbers for the overall battery simulation software market and its subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

• Analysis of key drivers (growing EV adoption, need for efficient and long-lasting batteries, continuous innovation), restraints (data accuracy and model, limited regulatory and compliance framework), opportunities (industry-academic collaboration, strategic investments), and challenges (difficulties in integrating with existing systems, high cost of implementation)
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and product & service launches in the battery simulation software market
• Market Development: Comprehensive information about lucrative markets - the report analyzes the battery simulation software market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the battery simulation software market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Ansys (US), Siemens (Germany), Altair Engineering (US), MathWorks (US), Dassault Systemes (France), AVL (Austria), ESI Group (France), Ricardo (UK), Intertek (UK), Hexagon (Sweden), Synopsys (US), COMSOL (US), dSPACE (Germany), and Gamma Technologies (US) in the battery simulation software market.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS & EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Breakdown of primary profiles
    • 2.1.2.2 Key insights from industry experts
• 2.2 DATA TRIANGULATION AND MARKET BREAKDOWN
• 2.3 MARKET SIZE ESTIMATION
  • 2.3.1 TOP-DOWN APPROACH
  • 2.3.2 BOTTOM-UP APPROACH
• 2.4 MARKET FORECAST
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN BATTERY SIMULATION SOFTWARE MARKET
• 4.2 BATTERY SIMULATION SOFTWARE MARKET, BY SIMULATION TYPE, 2025-2030
• 4.3 BATTERY SIMULATION SOFTWARE MARKET, BY BATTERY TYPE, 2025-2030
• 4.4 BATTERY SIMULATION SOFTWARE MARKET, BY END-USE INDUSTRY, 2025-2030
• 4.5 BATTERY SIMULATION SOFTWARE MARKET: TOP 3 END-USE INDUSTRIES AND REGIONS
• 4.6 MARKET INVESTMENT SCENARIO, BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Rise in EV adoption drives demand for advanced battery simulation software
    • 5.2.1.2 Need for efficient and long-lasting batteries
    • 5.2.1.3 Continuous innovation drives growth in battery simulation software
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Data accuracy and model
    • 5.2.2.2 Limited regulatory and compliance framework
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Increase in industry-academia collaborations
    • 5.2.3.2 Growth in strategic investments
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Difficulties in integration with existing systems
    • 5.2.4.2 High cost of implementation
• 5.3 IMPACT OF GENERATIVE AI/AI ON BATTERY SIMULATION SOFTWARE MARKET
  • 5.3.1 TOP USE CASES & MARKET POTENTIAL
    • 5.3.1.1 Key use cases
  • 5.3.2 IMPACT OF GEN AI ON INTERCONNECTED AND ADJACENT ECOSYSTEM
    • 5.3.2.1 Electric vehicle (EV) industry
    • 5.3.2.2 Renewable energy storage
    • 5.3.2.3 Semiconductor & materials science
    • 5.3.2.4 Industrial automation & IoT
• 5.4 CASE STUDY ANALYSIS
  • 5.4.1 CASE STUDY 1: FORD ENHANCES BATTERY SIMULATION ACCURACY USING RADIOSS CUT METHODOLOGY FOR OPTIMIZATION
  • 5.4.2 CASE STUDY 2: FORSEE POWER ENHANCES BATTERY DESIGN EFFICIENCY USING SIMCENTER STAR-CCM+ SIMULATION
  • 5.4.3 CASE STUDY 3: LITHIUM BALANCE UTILIZES ANSYS MEDINI ANALYZE FOR BMS SAFETY AND CERTIFICATION
• 5.5 VALUE CHAIN ANALYSIS
• 5.6 ECOSYSTEM
• 5.7 PORTER'S FIVE FORCES ANALYSIS
  • 5.7.1 THREAT OF NEW ENTRANTS
  • 5.7.2 THREAT OF SUBSTITUTES
  • 5.7.3 BARGAINING POWER OF SUPPLIERS
  • 5.7.4 BARGAINING POWER OF BUYERS
  • 5.7.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.8 PRICING ANALYSIS
  • 5.8.1 AVERAGE SELLING PRICE TREND OF BATTERY TYPE, BY REGION
  • 5.8.2 INDICATIVE PRICING ANALYSIS, BY VENDOR
• 5.9 TECHNOLOGY ANALYSIS
  • 5.9.1 KEY TECHNOLOGIES
    • 5.9.1.1 Electrochemical modeling
    • 5.9.1.2 Numerical methods
  • 5.9.2 COMPLIMENTARY TECHNOLOGIES
    • 5.9.2.1 Battery management systems (BMS)
    • 5.9.2.2 Computer-aided design (CAD)
  • 5.9.3 ADJACENT TECHNOLOGIES
    • 5.9.3.1 Quantum computing
    • 5.9.3.2 Artificial intelligence (AI) and machine learning (ML)
• 5.10 PATENT ANALYSIS
  • 5.10.1 METHODOLOGY
• 5.11 REGULATORY LANDSCAPE
  • 5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.11.2 LIST OF STANDARDS
• 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.12.2 BUYING CRITERIA
• 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.14 KEY CONFERENCES AND EVENTS IN 2024-2025
• 5.15 INVESTMENT AND FUNDING SCENARIO
• 5.16 IMPACT OF 2025 US TARIFF - OVERVIEW
  • 5.16.1 INTRODUCTION
  • 5.16.2 KEY TARIFF RATES
    • 5.16.2.1 Price Impact Analysis
  • 5.16.3 KEY IMPACT ON VARIOUS REGIONS/COUNTRIES
    • 5.16.3.1 US
    • 5.16.3.2 Europe
    • 5.16.3.3 Asia Pacific
  • 5.16.4 INDUSTRIES
    • 5.16.4.1 Automotive OEMs
    • 5.16.4.2 EV manufacturers
    • 5.16.4.3 Battery manufacturers

6 BATTERY SIMULATION SOFTWARE MARKET, BY SIMULATION TYPE

• 6.1 INTRODUCTION
  • 6.1.1 SIMULATION TYPE: MARKET DRIVERS
• 6.2 ELECTROCHEMICAL SIMULATION
  • 6.2.1 ENHANCING PREDICTIVE ACCURACY AND EFFICIENCY THROUGH ELECTROCHEMICAL SIMULATION IN BATTERY DEVELOPMENT
• 6.3 THERMAL SIMULATION
  • 6.3.1 OPTIMIZING BATTERY PERFORMANCE THROUGH ADVANCED THERMAL SIMULATION
• 6.4 STRUCTURAL & MECHANICAL SIMULATION
  • 6.4.1 ANALYZING MECHANICAL INTEGRITY IN BATTERY SYSTEMS USING ADVANCED SIMULATIONS
• 6.5 ELECTRICAL & CIRCUIT SIMULATION
  • 6.5.1 REDUCING PHYSICAL PROTOTYPES VIA ELECTRICAL AND CIRCUIT SIMULATION IN BATTERY ENGINEERING
• 6.6 OTHER SIMULATION TYPES

7 BATTERY SIMULATION SOFTWARE MARKET, BY BATTERY TYPE

• 7.1 INTRODUCTION
  • 7.1.1 BATTERY TYPE: MARKET DRIVERS
• 7.2 LITHIUM-ION (LI-ION) BATTERIES
  • 7.2.1 LEVERAGING SIMULATION TO REDUCE BATTERY DEGRADATION IN LI-ION CELLS
• 7.3 LEAD-ACID BATTERIES
  • 7.3.1 ENHANCING DURABILITY AND RELIABILITY OF LEAD-ACID BATTERIES IN AUTOMOTIVE APPLICATIONS WITH SIMULATION
• 7.4 SOLID-STATE BATTERIES
  • 7.4.1 ADVANCING SOLID-STATE BATTERY DESIGN THROUGH SIMULATION PRECISION
• 7.5 OTHER BATTERY TYPES

8 BATTERY SIMULATION SOFTWARE MARKET, BY END-USE INDUSTRY

• 8.1 INTRODUCTION
  • 8.1.1 END-USE INDUSTRY: MARKET DRIVERS
• 8.2 EV MANUFACTURERS
  • 8.2.1 ENHANCED BATTERY PERFORMANCE REQUIREMENTS BOOST SIMULATION SOFTWARE USAGE IN EV SECTOR
• 8.3 AUTOMOTIVE OEMS
  • 8.3.1 AUTOMOTIVE OEMS TURN TO SIMULATION TO TACKLE EV COMPLEXITY
• 8.4 BATTERY MANUFACTURERS
  • 8.4.1 SIMULATION SOFTWARE HELPS BATTERY MANUFACTURERS CUT COSTS AND IMPROVE QUALITY
• 8.5 ENERGY STORAGE SYSTEMS (ESS)
  • 8.5.1 ENERGY STORAGE PROJECTS ACCELERATED BY PREDICTIVE SIMULATION CAPABILITIES
• 8.6 CONSUMER ELECTRONICS
  • 8.6.1 BATTERY SIMULATION ACCELERATES CONSUMER ELECTRONICS DESIGN
• 8.7 AEROSPACE
  • 8.7.1 IMPROVING BATTERY PERFORMANCE AND SAFETY IN AEROSPACE THROUGH SIMULATION
• 8.8 OTHER END USERS

9 BATTERY SIMULATION SOFTWARE MARKET, BY REGION

• 9.1 INTRODUCTION
• 9.2 NORTH AMERICA
  • 9.2.1 NORTH AMERICA: BATTERY SIMULATION SOFTWARE MARKET DRIVERS
  • 9.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 9.2.3 US
    • 9.2.3.1 Enhancing battery simulation with innovation and government support
  • 9.2.4 CANADA
    • 9.2.4.1 Innovations in battery tech drive simulation advancements
• 9.3 EUROPE
  • 9.3.1 EUROPE: BATTERY SIMULATION SOFTWARE MARKET DRIVERS
  • 9.3.2 EUROPE: MACROECONOMIC OUTLOOK
  • 9.3.3 UK
    • 9.3.3.1 Industry-academia synergy fuels advancements in battery simulation software
  • 9.3.4 GERMANY
    • 9.3.4.1 AI, research, and acquisitions fuel battery simulation software expansion
  • 9.3.5 FRANCE
    • 9.3.5.1 Battery simulation software gains traction amid France's EV push
  • 9.3.6 ITALY
    • 9.3.6.1 Rising energy storage investments drive surging demand for battery simulation software
  • 9.3.7 REST OF EUROPE
• 9.4 ASIA PACIFIC
  • 9.4.1 ASIA PACIFIC: BATTERY SIMULATION SOFTWARE MARKET DRIVERS
  • 9.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 9.4.3 CHINA
    • 9.4.3.1 China's solid-state battery growth accelerates simulation software demand
  • 9.4.4 JAPAN
    • 9.4.4.1 Need to meet new standards accelerates battery simulation growth
  • 9.4.5 INDIA
    • 9.4.5.1 Government policies and industry collaborations boost battery simulation
  • 9.4.6 REST OF ASIA PACIFIC
• 9.5 REST OF THE WORLD
  • 9.5.1 REST OF THE WORLD: BATTERY SIMULATION SOFTWARE MARKET DRIVERS
  • 9.5.2 REST OF THE WORLD: MACROECONOMIC OUTLOOK
  • 9.5.3 MIDDLE EAST & AFRICA
  • 9.5.4 LATIN AMERICA

10 COMPETITIVE LANDSCAPE

• 10.1 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023-2025
• 10.2 REVENUE ANALYSIS, 2023-2025
• 10.3 MARKET SHARE ANALYSIS, 2024
• 10.4 BRAND COMPARISON
  • 10.4.1 ANSYS
  • 10.4.2 SIEMENS
  • 10.4.3 ALTAIR ENGINEERING
  • 10.4.4 MATHWORKS
  • 10.4.5 DASSAULT SYSTEMES
• 10.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 10.5.1 COMPANY VALUATION, 2025
  • 10.5.2 FINANCIAL METRICS USING EV/EBIDTA
• 10.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 10.6.1 STARS
  • 10.6.2 EMERGING LEADERS
  • 10.6.3 PERVASIVE PLAYERS
  • 10.6.4 PARTICIPANTS
  • 10.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 10.6.5.1 Company footprint
    • 10.6.5.2 Region footprint
    • 10.6.5.3 Simulation type footprint
    • 10.6.5.4 Battery type footprint
    • 10.6.5.5 End-use industry footprint
• 10.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 10.7.1 PROGRESSIVE COMPANIES
  • 10.7.2 RESPONSIVE COMPANIES
  • 10.7.3 DYNAMIC COMPANIES
  • 10.7.4 STARTING BLOCKS
  • 10.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 10.7.5.1 Detailed list of key startups/SMEs
    • 10.7.5.2 Region footprint
    • 10.7.5.3 Simulation type footprint
    • 10.7.5.4 Battery type footprint
    • 10.7.5.5 End-use industry footprint
• 10.8 COMPETITIVE SCENARIO
  • 10.8.1 PRODUCT LAUNCHES & ENHANCEMENTS
  • 10.8.2 DEALS
  • 10.8.3 EXPANSIONS

11 COMPANY PROFILES

• 11.1 KEY PLAYERS
  • 11.1.1 ANSYS
    • 11.1.1.1 Business overview
    • 11.1.1.2 Products/Solutions/Services offered
    • 11.1.1.3 Recent developments
      • 11.1.1.3.1 Product launches and enhancements
      • 11.1.1.3.2 Deals
    • 11.1.1.4 MnM view
      • 11.1.1.4.1 Key strengths
      • 11.1.1.4.2 Strategic choices
      • 11.1.1.4.3 Weaknesses and competitive threats
  • 11.1.2 SIEMENS
    • 11.1.2.1 Business overview
    • 11.1.2.2 Products/Solutions/Services offered
    • 11.1.2.3 Recent developments
      • 11.1.2.3.1 Product launches and enhancements
      • 11.1.2.3.2 Deals
    • 11.1.2.4 MnM view
      • 11.1.2.4.1 Key strengths
      • 11.1.2.4.2 Strategic choices
      • 11.1.2.4.3 Weaknesses and competitive threats
  • 11.1.3 ALTAIR ENGINEERING
    • 11.1.3.1 Business overview
    • 11.1.3.2 Products/Solutions/Services offered
    • 11.1.3.3 Recent developments
      • 11.1.3.3.1 Product launches and enhancements
      • 11.1.3.3.2 Deals
    • 11.1.3.4 MnM view
      • 11.1.3.4.1 Key strengths
      • 11.1.3.4.2 Strategic choices
      • 11.1.3.4.3 Weaknesses and competitive threats
  • 11.1.4 MATHWORKS
    • 11.1.4.1 Business overview
    • 11.1.4.2 Products/Solutions/Services offered
    • 11.1.4.3 Recent developments
      • 11.1.4.3.1 Product launches and enhancements
      • 11.1.4.3.2 Deals
    • 11.1.4.4 MnM view
      • 11.1.4.4.1 Key strengths
      • 11.1.4.4.2 Strategic choices
      • 11.1.4.4.3 Weaknesses and competitive threats
  • 11.1.5 DASSAULT SYSTEMES
    • 11.1.5.1 Business overview
    • 11.1.5.2 Products/Solutions/Services offered
    • 11.1.5.3 Recent developments
      • 11.1.5.3.1 Product launches and enhancements
      • 11.1.5.3.2 Deals
    • 11.1.5.4 MnM view
      • 11.1.5.4.1 Key strengths
      • 11.1.5.4.2 Strategic choices
      • 11.1.5.4.3 Weaknesses and competitive threats
  • 11.1.6 AVL
    • 11.1.6.1 Business overview
    • 11.1.6.2 Products/Solutions/Services offered
    • 11.1.6.3 Recent developments
      • 11.1.6.3.1 Product launches and enhancements
      • 11.1.6.3.2 Deals
      • 11.1.6.3.3 Others
  • 11.1.7 ESI GROUP
    • 11.1.7.1 Business overview
    • 11.1.7.2 Products/Solutions/Services offered
    • 11.1.7.3 Recent developments
      • 11.1.7.3.1 Product launches and enhancements
  • 11.1.8 RICARDO
    • 11.1.8.1 Business overview
    • 11.1.8.2 Products/Solutions/Services offered
    • 11.1.8.3 Recent developments
      • 11.1.8.3.1 Product launches and enhancements
      • 11.1.8.3.2 Deals
  • 11.1.9 INTERTEK
    • 11.1.9.1 Business overview
    • 11.1.9.2 Products/Solutions/Services offered
    • 11.1.9.3 Recent developments
      • 11.1.9.3.1 Expansions
  • 11.1.10 HEXAGON
    • 11.1.10.1 Business overview
    • 11.1.10.2 Products/Solutions/Services offered
    • 11.1.10.3 Recent developments
      • 11.1.10.3.1 Product launches and enhancements
      • 11.1.10.3.2 Deals
  • 11.1.11 SYNOPSYS
    • 11.1.11.1 Business overview
    • 11.1.11.2 Products/Solutions/Services offered
    • 11.1.11.3 Recent developments
      • 11.1.11.3.1 Deals
  • 11.1.12 COMSOL
    • 11.1.12.1 Business overview
    • 11.1.12.2 Products/Solutions/Services offered
    • 11.1.12.3 Recent developments
      • 11.1.12.3.1 Product launches and enhancements
  • 11.1.13 DSPACE
    • 11.1.13.1 Business overview
    • 11.1.13.2 Products/Solutions/Services offered
    • 11.1.13.3 Recent developments
      • 11.1.13.3.1 Product launches and enhancements
      • 11.1.13.3.2 Deals
  • 11.1.14 GAMMA TECHNOLOGIES
    • 11.1.14.1 Business overview
    • 11.1.14.2 Products/Solutions/Services offered
    • 11.1.14.3 Recent developments
      • 11.1.14.3.1 Product launches and enhancements
      • 11.1.14.3.2 Deals
• 11.2 OTHER KEY PLAYERS
  • 11.2.1 OPENCFD
  • 11.2.2 PYBAMM
  • 11.2.3 OORJA
  • 11.2.4 SIMSCALE
  • 11.2.5 TWAICE
  • 11.2.6 IONWORKS
  • 11.2.7 BATEMO
  • 11.2.8 MAPLESOFT
  • 11.2.9 FLEXSIM
  • 11.2.10 RIDGETOP
  • 11.2.11 THERMOANALYTICS

12 ADJACENT MARKETS

• 12.1 INTRODUCTION
• 12.2 LIMITATIONS
• 12.3 BATTERY SIMULATION SOFTWARE ECOSYSTEM AND ADJACENT MARKETS
• 12.4 CAM MARKET
  • 12.4.1 COMPUTER-AIDED MANUFACTURING MARKET SIZE, BY OFFERING
  • 12.4.2 COMPUTER-AIDED MANUFACTURING MARKET SIZE, BY APPLICATION
  • 12.4.3 COMPUTER-AIDED MANUFACTURING MARKET SIZE, BY CAPABILITY
  • 12.4.4 COMPUTER-AIDED MANUFACTURING MARKET SIZE, BY DEPLOYMENT MODE
  • 12.4.5 COMPUTER-AIDED MANUFACTURING MARKET SIZE, BY ORGANIZATION SIZE
  • 12.4.6 COMPUTER-AIDED MANUFACTURING MARKET SIZE, BY VERTICAL
• 12.5 SIMULATION SOFTWARE MARKET
  • 12.5.1 SIMULATION SOFTWARE MARKET SIZE, BY OFFERING
  • 12.5.2 SIMULATION SOFTWARE MARKET SIZE, BY SOFTWARE TYPE
  • 12.5.3 SIMULATION SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE
  • 12.5.4 SIMULATION SOFTWARE MARKET SIZE, BY ORGANIZATION SIZE
  • 12.5.5 SIMULATION SOFTWARE MARKET SIZE, BY APPLICATION
  • 12.5.6 SIMULATION SOFTWARE MARKET SIZE, BY VERTICAL

13 APPENDIX

• 13.1 DISCUSSION GUIDE
• 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 13.3 CUSTOMIZATION OPTIONS
• 13.4 RELATED REPORTS
• 13.5 AUTHOR DETAILS