AI EDA 시장 예측(-2032년) : 제품 카테고리별, 배포 모드별, 용도별, 최종 용도별, 지역별

The AI EDA market is anticipated to grow from USD 4.27 billion in 2026 to USD 15.85 billion by 2032, at a CAGR of 24.4% from 2026 to 2032. The market growth is supported by the increasing use of data-driven design workflows and intelligent automation across complex semiconductor projects, where AI helps improve design exploration speed, reduce manual intervention, and enhance overall design quality.

In addition, AI-based tools support better management of large design datasets, faster convergence during implementation stages, and more stable results across repeated design programs. These attributes make them crucial for maintaining efficiency and reliability as chip designs continue to increase in scale and complexity.

"Consumer electronics segment is anticipated to capture the largest market share in 2026"

In the AI EDA market, the consumer electronics segment is expected to hold the largest market share in 2026. This is mainly because the industry produces high volumes of chips with short product life cycles and strong pressure to launch new products quickly. Smartphones, wearables, personal computing devices, and smart home products require frequent design updates, feature integration, and cost optimization. These factors increase the demand for efficient and intelligent design tools. In addition, consumer electronics companies focus heavily on performance, power efficiency, and compact form factors, which drives the wider use of AI-based design optimization and verification solutions across their chip development programs. This results in higher overall spending on AI EDA compared with other end use segments.

"Computer-aided engineering (CAE) is projected to record the highest CAGR from 2026 to 2032"

In the AI EDA market, the computer-aided engineering (CAE) segment is expected to record the highest CAGR during the forecast period as future chip programs will rely more on early-stage, system-level analysis to avoid costly downstream changes. As designs increasingly require simultaneous evaluation of electrical, thermal, and reliability behaviour, AI-enabled CAE tools become critical for fast scenario testing and virtual prototyping. This shift moves more decision-making to the front of the design cycle, expands the use of simulation-driven optimization, and accelerates the adoption of AI within CAE workflows.

"Asia Pacific is likely to exhibit the highest CAGR in the AI EDA market during the forecast period"

In the AI EDA market, Asia Pacific is expected to register the highest CAGR during the forecast period, driven by the rapid expansion in semiconductor manufacturing, local chip design activity, and electronics production capacity. Countries across the region are increasing the investment in advanced nodes, packaging, and domestic design ecosystems, which boosts the demand for modern AI-driven design and verification tools. In addition, the growth of automotive electronics, consumer devices, and data infrastructure creates a larger pipeline of new chip projects, making the adoption of AI EDA solutions accelerate faster than in more mature markets.

Extensive primary interviews were conducted with key industry experts offering AI EDA solutions to determine and verify the market size for various segments and subsegments gathered through secondary research. The breakdown of primary participants for the report is provided below.

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

• By Company Type: Tier 1-40%, Tier 2-35%, and Tier 3-25%
• By Designation: C-level Executives-40%, Directors-45%, and Others-15%
• By Region: North America-26%, Europe-28%, Asia Pacific-41%, and RoW-5%

The report profiles key players in the AI EDA market with their respective market ranking analysis. Prominent players profiled in this report are Synopsys, Inc. (US), Cadence Design Systems, Inc. (US), Siemens (Germany), Keysight Technologies (US), PrimisAI (US), Circuit Mind Limited (UK), Quilter AI (US), Zuken (Japan), Doide Computers, Inc. (US), and Celus GmbH (Germany), among others.

Apart from these, Flux (US), JITX (US), Silimate, Inc. (US), AMIQ EDA (Romania), Bronco AI, Inc. (US), ChipAgents (US), MooresLab AI (US), Rise Design Automation (US), Silogy Technologies, Inc. (US), Chipmind AG (Switzerland), Cognichip, Inc. (US), Astrus (Canada), ChipStack, Inc. (US), Maieutic Semiconductors (India), and AllSpice.io (US) also operate in the AI EDA market.

Research Coverage:

This research report categorizes the AI EDA market based on product category, deployment mode, application, end use, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI EDA market and forecasts the same till 2032. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the AI EDA market ecosystem.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in this market with information on the closest approximations of the numbers for the overall AI EDA market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

• Analysis of key drivers (Rising complexity in semiconductor design at advanced technology nodes, High pressure to reduce chip design cycles, Growing emphasis on reducing chip design and verification costs), restraints (Concerns over protection of sensitive design intellectual property, Workflow reconfiguration and integration issues in AI-enabled EDA), opportunities (Integration of generative AI into early-stage design exploration, Development of AI copilots embedded directly within EDA tools), and challenges (Evolving design constraints and frequent updates to EDA tools, Shortage of AI EDA expertise) of the AI EDA market
• Product Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and new product/service launches in the AI EDA market
• Market Development: Comprehensive information about lucrative markets-the report analyzes the AI EDA market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI EDA market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, such as Synopsys, Inc. (US), Cadence Design Systems, Inc. (US), Siemens (Germany), Keysight Technologies (US), and Zuken (Japan) in the AI EDA market

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
  • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 LIMITATIONS
• 1.6 STAKEHOLDERS

2 EXECUTIVE SUMMARY

• 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
• 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
• 2.3 DISRUPTIVE TRENDS IN AI EDA MARKET
• 2.4 HIGH-GROWTH SEGMENTS
• 2.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

• 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI EDA MARKET
• 3.2 AI EDA MARKET, BY PRODUCT CATEGORY
• 3.3 AI EDA MARKET, BY DEPLOYMENT MODE
• 3.4 AI EDA MARKET, BY APPLICATION
• 3.5 AI EDA MARKET, BY END USE
• 3.6 AI EDA MARKET, BY COUNTRY

4 MARKET OVERVIEW

• 4.1 INTRODUCTION
• 4.2 MARKET DYNAMICS
  • 4.2.1 DRIVERS
    • 4.2.1.1 Rising complexity in semiconductor design at advanced technology nodes
    • 4.2.1.2 High pressure to reduce chip design cycles
    • 4.2.1.3 Growing emphasis on lowering chip design and verification costs
  • 4.2.2 RESTRAINTS
    • 4.2.2.1 Concerns over protection of sensitive design intellectual property
    • 4.2.2.2 Workflow reconfiguration and integration issues in AI-enabled EDA
  • 4.2.3 OPPORTUNITIES
    • 4.2.3.1 Integration of Gen AI into early-stage semiconductor design exploration
    • 4.2.3.2 Development of AI copilots embedded within EDA tools
  • 4.2.4 CHALLENGES
    • 4.2.4.1 Evolving design constraints and frequent updates to EDA tools
    • 4.2.4.2 Shortage of AI EDA expertise
• 4.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
• 4.4 STRATEGIC MOVES BY TIER 1/2/3 PLAYERS

5 INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 PORTER'S FIVE FORCES ANALYSIS
  • 5.2.1 THREAT OF NEW ENTRANTS
  • 5.2.2 THREAT OF SUBSTITUTES
  • 5.2.3 BARGAINING POWER OF SUPPLIERS
  • 5.2.4 BARGAINING POWER OF BUYERS
  • 5.2.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.3 MACROECONOMIC OUTLOOK
  • 5.3.1 INTRODUCTION
  • 5.3.2 GDP TRENDS AND FORECAST
  • 5.3.3 TRENDS IN GLOBAL AI INDUSTRY
  • 5.3.4 TRENDS IN GLOBAL EDA INDUSTRY
• 5.4 SUPPLY CHAIN ANALYSIS
• 5.5 ECOSYSTEM ANALYSIS
• 5.6 PRICING ANALYSIS
  • 5.6.1 PRICING RANGE OF AI EDA SOFTWARE, BY KEY PLAYER, 2025
  • 5.6.2 AVERAGE SELLING PRICE TREND OF AI EDA SOFTWARE, BY REGION, 2021-2025
• 5.7 TRADE ANALYSIS
  • 5.7.1 IMPORT SCENARIO (HS CODE 8542)
  • 5.7.2 EXPORT SCENARIO (HS CODE 8542)
• 5.8 KEY CONFERENCES AND EVENTS, 2026-2027
• 5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.10 INVESTMENT AND FUNDING SCENARIO
• 5.11 CASE STUDY ANALYSIS
  • 5.11.1 SYNOPSYS AI EDA HELPS SAMSUNG DRIVE EFFICIENT ANALOG DESIGN MIGRATION ACROSS ADVANCED TECHNOLOGY NODES
  • 5.11.2 CADENCE CEREBRUS AI-ENABLED EDA SUPPORTS IMAGINATION TECHNOLOGIES IN OPTIMIZING ADVANCED CHIP DESIGN
  • 5.11.3 SYNOPSYS AI-DRIVEN EDA ADVANCES MULTI-DIE AND NODE INNOVATION IN SAMSUNG FOUNDRY
• 5.12 IMPACT OF 2025 US TARIFF - AI EDA MARKET
  • 5.12.1 INTRODUCTION
  • 5.12.2 KEY TARIFF RATES
  • 5.12.3 PRICE IMPACT ANALYSIS
  • 5.12.4 IMPACT OF COUNTRIES/REGIONS
    • 5.12.4.1 US
    • 5.12.4.2 Europe
    • 5.12.4.3 Asia Pacific
  • 5.12.5 IMPACT ON END USES

6 TECHNOLOGICAL ADVANCEMENTS, PATENTS, AND INNOVATIONS

• 6.1 KEY EMERGING TECHNOLOGIES
  • 6.1.1 MACHINE LEARNING (ML)
  • 6.1.2 GENERATIVE ARTIFICIAL INTELLIGENCE (GEN AI)
• 6.2 COMPLEMENTARY TECHNOLOGIES
  • 6.2.1 HIGH-PERFORMANCE COMPUTING (HPC)
  • 6.2.2 CLOUD COMPUTING PLATFORMS
• 6.3 TECHNOLOGY ROADMAP
• 6.4 PATENT ANALYSIS

7 REGULATORY LANDSCAPE

• 7.1 REGIONAL REGULATIONS AND COMPLIANCE
  • 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 7.1.2 INDUSTRY STANDARDS

8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR

• 8.1 INTRODUCTION
• 8.2 DECISION-MAKING PROCESS
• 8.3 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND EVALUATION CRITERIA
  • 8.3.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 8.3.2 BUYING CRITERIA
• 8.4 ADOPTION BARRIERS AND INTERNAL CHALLENGES
• 8.5 UNMET NEEDS OF VARIOUS END USES

9 AI INTEGRATION LEVEL IN EDA

• 9.1 INTRODUCTION
• 9.2 AI-AUGMENTED
• 9.3 AI-ACCELERATED
• 9.4 AI-AUTOMATED
• 9.5 AI-NATIVE

10 AI EDA MARKET, BY PRODUCT CATEGORY

• 10.1 INTRODUCTION
• 10.2 COMPUTER-AIDED ENGINEERING (CAE)
  • 10.2.1 ABILITY TO REDUCE MANUAL SIMULATION CYCLES AND IMPROVE DESIGN EFFICIENCY TO FUEL SEGMENTAL GROWTH
• 10.3 INTEGRATED CIRCUIT (IC) PHYSICAL DESIGN VERIFICATION
  • 10.3.1 HIGH PREFERENCE FOR SMALL GEOMETRIES AND TIGHT SPACING OF SEMICONDUCTOR DESIGNS TO BOOST SEGMENTAL GROWTH
• 10.4 PRINTED CIRCUIT BOARD (PCB) & MULTI-CHIP MODULE (MCM)
  • 10.4.1 GROWING COMPLEXITY OF BOARD DESIGNS AND PACKAGING MODULES TO AUGMENT SEGMENTAL GROWTH
• 10.5 SERVICES
  • 10.5.1 REQUIREMENT FOR SPECIALIZED SKILLS TO OPERATE ADVANCED ELECTRONIC PLATFORMS TO DRIVE MARKET

11 AI EDA MARKET, BY DEPLOYMENT MODE

• 11.1 INTRODUCTION
• 11.2 ON-PREMISES
  • 11.2.1 STRONG FOCUS ON PROTECTION OF INTELLECTUAL PROPERTY AND COMPLIANCE WITH INTERNAL POLICIES TO FOSTER SEGMENTAL GROWTH
• 11.3 CLOUD-BASED
  • 11.3.1 ABILITY TO COMBINE POWERFUL COMPUTING WITH FLEXIBLE ACCESS TO EXPEDITE SEGMENTAL GROWTH
• 11.4 HYBRID
  • 11.4.1 GROWING NEED FOR SECURE SCALABILITY AND OPERATIONAL FLEXIBILITY DRIVING THE HYBRID DEPLOYMENT SEGMENT

12 AI EDA MARKET, BY APPLICATION

• 12.1 INTRODUCTION
• 12.2 MICROPROCESSORS & CONTROLLERS
  • 12.2.1 INCREASING DESIGN WORKLOAD AND DIGITAL SYSTEM AUTOMATION TO AUGMENT SEGMENTAL GROWTH
• 12.3 MEMORY MANAGEMENT UNITS
  • 12.3.1 GROWING FOCUS ON IMPROVING RELIABILITY AND REDUCING DESIGN UNCERTAINTY TO FUEL SEGMENTAL GROWTH
• 12.4 OTHER APPLICATIONS

13 AI EDA MARKET, BY END USE

• 13.1 INTRODUCTION
• 13.2 AUTOMOTIVE
  • 13.2.1 INCREASING RELIANCE ON ADVANCED ELECTRONIC SYSTEMS TO ACCELERATE SEGMENTAL GROWTH
• 13.3 AEROSPACE & DEFENSE
  • 13.3.1 GROWING EMPHASIS ON ADVANCED PROCESSING, HIGH-SPEED DATA HANDLING, AND SECURE ARCHITECTURES TO DRIVE MARKET
• 13.4 HEALTHCARE
  • 13.4.1 RISING ADOPTION OF AI TOOLS FOR DEEPER ANALYSIS OF SIGNAL INTEGRITY AND POWER STABILITY TO BOLSTER SEGMENTAL GROWTH
• 13.5 CONSUMER ELECTRONICS
  • 13.5.1 HIGH EMPHASIS ON INTEGRATION EFFICIENCY, REPEATABILITY, AND DESIGN CONSISTENCY TO FUEL SEGMENTAL GROWTH
• 13.6 TELECOM & DATA CENTERS
  • 13.6.1 INCREASING NETWORK CAPACITY AND COMPUTING DENSITY TO CONTRIBUTE TO SEGMENTAL GROWTH
• 13.7 INDUSTRIAL
  • 13.7.1 RISING AUTOMATION AND CONTROL COMPLEXITY TO EXPEDITE SEGMENTAL GROWTH
• 13.8 OTHER END USES

14 AI EDA MARKET, BY REGION

• 14.1 INTRODUCTION
• 14.2 NORTH AMERICA
  • 14.2.1 US
    • 14.2.1.1 Growing focus on advanced semiconductor design and commercialization of next-gen technologies to drive market
  • 14.2.2 CANADA
    • 14.2.2.1 Strong capabilities in AI, software engineering, and advanced computing to foster market growth
  • 14.2.3 MEXICO
    • 14.2.3.1 Expanding role in electronics manufacturing, system integration, and applied engineering to augment market growth
• 14.3 EUROPE
  • 14.3.1 GERMANY
    • 14.3.1.1 Rising emphasis on digital twins, model-based engineering, and cyber-physical systems to fuel market growth
  • 14.3.2 UK
    • 14.3.2.1 Increasing need for early-stage design innovation and software-led engineering to bolster market growth
  • 14.3.3 FRANCE
    • 14.3.3.1 High reliability requirements, long validation cycles, and complex system integration to expedite market growth
  • 14.3.4 ITALY
    • 14.3.4.1 High expertise in industrial automation, power electronics, automotive components, and energy systems to drive market
  • 14.3.5 REST OF EUROPE
• 14.4 ASIA PACIFIC
  • 14.4.1 CHINA
    • 14.4.1.1 Increasing design automation to reduce productivity gaps and optimize tool performance to boost market growth
  • 14.4.2 JAPAN
    • 14.4.2.1 Strong focus on high-precision electronics, advanced materials, and reliable semiconductor design to fuel market growth
  • 14.4.3 SOUTH KOREA
    • 14.4.3.1 Rapid product refresh cycles in memory and logic-memory hybrid devices to accelerate market growth
  • 14.4.4 INDIA
    • 14.4.4.1 Increasing number of AI and data engineering experts to contribute to market growth
  • 14.4.5 TAIWAN
    • 14.4.5.1 Robust semiconductor manufacturing and chip design ecosystem to fuel market growth
  • 14.4.6 REST OF ASIA PACIFIC
• 14.5 ROW
  • 14.5.1 MIDDLE EAST & AFRICA
    • 14.5.1.1 Increasing investment in digital infrastructure, smart industries, and advanced electronics to accelerate market growth
    • 14.5.1.2 GCC countries
    • 14.5.1.3 Rest of Middle East & Africa
  • 14.5.2 SOUTH AMERICA
    • 14.5.2.1 Mounting demand for localized and cost-efficient electronics design to bolster market growth

15 COMPETITIVE LANDSCAPE

• 15.1 OVERVIEW
• 15.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2025
• 15.3 REVENUE ANALYSIS, 2020-2024
• 15.4 MARKET SHARE ANALYSIS, 2025
• 15.5 COMPANY VALUATION AND FINANCIAL METRICS
• 15.6 PRODUCT COMPARISON
  • 15.6.1 SYNOPSYS, INC.
  • 15.6.2 CADENCE DESIGN SYSTEMS, INC.
  • 15.6.3 SIEMENS
  • 15.6.4 KEYSIGHT TECHNOLOGIES
  • 15.6.5 ZUKEN
• 15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025
  • 15.7.1 STARS
  • 15.7.2 EMERGING LEADERS
  • 15.7.3 PERVASIVE PLAYERS
  • 15.7.4 PARTICIPANTS
  • 15.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2025
    • 15.7.5.1 Company footprint
    • 15.7.5.2 Region footprint
    • 15.7.5.3 Product category footprint
    • 15.7.5.4 Deployment mode footprint
    • 15.7.5.5 Application footprint
    • 15.7.5.6 End use footprint
• 15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025
  • 15.8.1 PROGRESSIVE COMPANIES
  • 15.8.2 RESPONSIVE COMPANIES
  • 15.8.3 DYNAMIC COMPANIES
  • 15.8.4 STARTING BLOCKS
  • 15.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2025
    • 15.8.5.1 Detailed list of key startups/SMEs
    • 15.8.5.2 Competitive benchmarking of key startups/SMEs
• 15.9 COMPETITIVE SCENARIO
  • 15.9.1 PRODUCT LAUNCHES/ENHANCEMENTS
  • 15.9.2 DEALS

16 COMPANY PROFILES

• 16.1 KEY PLAYERS
  • 16.1.1 SYNOPSYS, INC.
    • 16.1.1.1 Business overview
    • 16.1.1.2 Products/Solutions/Services offered
    • 16.1.1.3 Recent developments
      • 16.1.1.3.1 Product launches/enhancements
      • 16.1.1.3.2 Deals
    • 16.1.1.4 MnM view
      • 16.1.1.4.1 Key strengths/Right to win
      • 16.1.1.4.2 Strategic choices
      • 16.1.1.4.3 Weaknesses/Competitive threats
  • 16.1.2 CADENCE DESIGN SYSTEMS, INC.
    • 16.1.2.1 Business overview
    • 16.1.2.2 Products/Solutions/Services offered
    • 16.1.2.3 Recent developments
      • 16.1.2.3.1 Product launches/enhancements
      • 16.1.2.3.2 Deals
    • 16.1.2.4 MnM view
      • 16.1.2.4.1 Key strengths/Right to win
      • 16.1.2.4.2 Strategic choices
      • 16.1.2.4.3 Weaknesses/Competitive threats
  • 16.1.3 SIEMENS
    • 16.1.3.1 Business overview
    • 16.1.3.2 Products/Solutions/Services offered
    • 16.1.3.3 Recent developments
      • 16.1.3.3.1 Product launches/enhancements
    • 16.1.3.4 MnM view
      • 16.1.3.4.1 Key strengths/Right to win
      • 16.1.3.4.2 Strategic choices
      • 16.1.3.4.3 Weaknesses/Competitive threats
  • 16.1.4 KEYSIGHT TECHNOLOGIES
    • 16.1.4.1 Business overview
    • 16.1.4.2 Products/Solutions/Services offered
    • 16.1.4.3 Recent developments
      • 16.1.4.3.1 Product launches/enhancements
      • 16.1.4.3.2 Deals
    • 16.1.4.4 MnM view
      • 16.1.4.4.1 Key strengths/Right to win
      • 16.1.4.4.2 Strategic choices
      • 16.1.4.4.3 Weaknesses/Competitive threats
  • 16.1.5 ZUKEN
    • 16.1.5.1 Business overview
    • 16.1.5.2 Products/Solutions/Services offered
    • 16.1.5.3 Recent developments
      • 16.1.5.3.1 Product launches/enhancements
      • 16.1.5.3.2 Deals
    • 16.1.5.4 MnM view
      • 16.1.5.4.1 Key strengths/Right to win
      • 16.1.5.4.2 Strategic choices
      • 16.1.5.4.3 Weaknesses/Competitive threats
  • 16.1.6 PRIMISAI
    • 16.1.6.1 Business overview
    • 16.1.6.2 Products/Solutions/Services offered
    • 16.1.6.3 Recent developments
      • 16.1.6.3.1 Product launches/enhancements
  • 16.1.7 CIRCUIT MIND LIMITED
    • 16.1.7.1 Business overview
    • 16.1.7.2 Products/Solutions/Services offered
  • 16.1.8 QUILTER AI
    • 16.1.8.1 Business overview
    • 16.1.8.2 Products/Solutions/Services offered
    • 16.1.8.3 Recent developments
      • 16.1.8.3.1 Developments
  • 16.1.9 DIODE COMPUTERS, INC.
    • 16.1.9.1 Business overview
    • 16.1.9.2 Products/Solutions/Services offered
  • 16.1.10 CELUS GMBH
    • 16.1.10.1 Business overview
    • 16.1.10.2 Products/Solutions/Services offered
    • 16.1.10.3 Recent developments
      • 16.1.10.3.1 Deals
  • 16.1.11 ADVANCED MICRO DEVICES, INC.
    • 16.1.11.1 Business overview
    • 16.1.11.2 Products/Solutions/Services offered
    • 16.1.11.3 Recent developments
      • 16.1.11.3.1 Deals
• 16.2 OTHER PLAYERS
  • 16.2.1 SILVACO GROUP, INC.
  • 16.2.2 FLUX
  • 16.2.3 JITX
  • 16.2.4 SILIMATE, INC.
  • 16.2.5 AMIQ EDA
  • 16.2.6 BRONCO AI, INC.
  • 16.2.7 CHIPAGENTS (ALPHA DESIGN AI)
  • 16.2.8 MOORESLAB AI
  • 16.2.9 RISE DESIGN AUTOMATION
  • 16.2.10 SILOGY TECHNOLOGIES, INC.
  • 16.2.11 CHIPMIND AG
  • 16.2.12 COGNICHIP, INC.
  • 16.2.13 ASTRUS
  • 16.2.14 CHIPSTACK, INC.
  • 16.2.15 MAIEUTIC SEMICONDUCTORS
  • 16.2.16 ALLSPICE.IO

17 RESEARCH METHODOLOGY

• 17.1 RESEARCH DATA
• 17.2 SECONDARY AND PRIMARY RESEARCH
  • 17.2.1 SECONDARY DATA
    • 17.2.1.1 List of key secondary sources
    • 17.2.1.2 Key data from secondary sources
  • 17.2.2 PRIMARY DATA
    • 17.2.2.1 List of primary interview participants
    • 17.2.2.2 Key data from primary sources
    • 17.2.2.3 Breakdown of primaries
    • 17.2.2.4 Key industry insights
• 17.3 MARKET SIZE ESTIMATION
  • 17.3.1 BOTTOM-UP APPROACH
  • 17.3.2 TOP-DOWN APPROACH
  • 17.3.3 MARKET SIZE CALCULATION FOR BASE YEAR
• 17.4 MARKET FORECAST APPROACH
  • 17.4.1 SUPPLY SIDE
  • 17.4.2 DEMAND SIDE
• 17.5 DATA TRIANGULATION
• 17.6 FACTOR ANALYSIS
• 17.7 RESEARCH ASSUMPTIONS
• 17.8 RESEARCH LIMITATIONS
• 17.9 RISK ANALYSIS

18 APPENDIX

• 18.1 DISCUSSION GUIDE
• 18.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 18.3 CUSTOMIZATION OPTIONS
• 18.4 RELATED REPORTS
• 18.5 AUTHOR DETAILS