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시장보고서
상품코드
1862413
세계의 컴퓨팅 리소그래피 소프트웨어 : 시장 점유율과 순위, 전체 판매량 및 수요 예측(2025-2031년)Computational Lithography Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031 |
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QYResearch
컴퓨팅 리소그래피 소프트웨어 시장 규모는 2024년에 12억 6,800만 달러로 평가되었고, 2025-2031년의 예측 기간에 CAGR 10.1%로 성장하여 2031년까지 23억 6,800만 달러로 확대될 것으로 예측됩니다.
컴퓨팅 리소그래피 소프트웨어는 리소그래피 공정의 최적화 및 시뮬레이션을 위한 도구로 반도체 제조에 널리 활용되고 있습니다. 본 소프트웨어는 컴퓨터 시뮬레이션 및 리소그래피 공정의 광화학 반응 및 물리적 공정 시뮬레이션을 통해 리소그래피 공정 파라미터의 최적화를 유도합니다.
컴퓨터 칩 제조에는 전자기 물리, 광화학, 계산 기하학, 반복 최적화, 분산 컴퓨팅을 수반하는 복잡한 계산인 '컴퓨팅 리소그래피'라는 중요한 공정이 필요합니다. 이 컴퓨팅 리소그래피 공정은 이미 반도체 생산에서 가장 큰 계산 부하 중 하나로 수많은 데이터센터를 필요로 하고 있으며, 실리콘 미세화의 진전에 따라 계산 수요는 앞으로 기하급수적으로 증가할 것으로 예측됩니다. 제조 공정용 마스크 제작 작업은 수십년동안 반도체 제조에 필수적인 요소였습니다. 5nm, 3nm에서 2nm와 같은 첨단 노드로의 전환에 따라, 컴퓨팅 리소그래피의 턴어라운드 시간을 단축하는 것은 반도체 제조 기업이 칩을 효율적으로 제조하는 데 중요한 역할을 합니다.
세계적인 컴퓨팅 리소그래피 소프트웨어 업체로는 ASML, KLA, 지멘스 등이 있습니다. 상위 3개사의 점유율은 80%가 넘습니다. 중국 대만이 가장 큰 시장으로 약 26%의 점유율을 차지하고 있습니다. 제품 유형별로는 OPC가 가장 큰 부문으로 약 42%의 점유율을 차지하고 있으며, 용도별로는 로직/MPU가 약 50%의 점유율을 가지고 있습니다.
리소그래피 소프트웨어의 개발은 고정밀화와 고속 처리 속도 향상을 향해 나아가고 있습니다. 향후 자동 최적화 및 결함 검출을 위해 인공지능(AI)과 머신러닝이 리소그래피 소프트웨어에 폭넓게 활용될 것으로 예측됩니다. 또한, 소프트웨어는 다른 제조 공정과의 연계를 강화하여 생산 효율과 수율을 전반적으로 향상시키는 데 주력할 것입니다.
이 보고서는 세계 컴퓨팅 리소그래피 소프트웨어 시장에 대해 총 매출액, 주요 기업의 시장 점유율 및 순위를 중심으로 지역별, 국가별, 유형별, 용도별 분석을 종합적으로 제시하는 것을 목적으로 합니다.
컴퓨팅 리소그래피 소프트웨어 시장 규모, 추정 및 예측은 2024년을 기준 연도로 하여 2020년에서 2031년까지의 과거 데이터와 예측 데이터를 포함하는 매출액으로 제시되었습니다. 정량적 분석과 정성적 분석을 통해 독자들이 비즈니스/성장 전략을 수립하고, 시장 경쟁 구도를 평가하고, 현재 시장에서의 포지셔닝을 분석하여 컴퓨팅 리소그래피 소프트웨어에 대한 정보에 입각한 비즈니스 의사결정을 내릴 수 있도록 돕습니다.
시장 세분화
기업별
- ASML
- KLA
- Siemens
- Synopsys
- Cadence
- Dongfang Jingyuan Electron Co., Ltd.
- Yuwei Optics
유형별 부문
- OPC
- SMO
- MPT
- ILT
용도별 부문
- 메모리
- 로직/MPU
- 기타
지역별
- 북미
- 미국
- 캐나다
- 아시아태평양
- 중국
- 일본
- 한국
- 동남아시아
- 인도
- 호주
- 기타 아시아태평양
- 유럽
- 독일
- 프랑스
- 영국
- 이탈리아
- 네덜란드
- 북유럽 국가
- 기타 유럽
- 라틴아메리카
- 멕시코
- 브라질
- 기타 라틴아메리카
- 중동 및 아프리카
- 튀르키예
- 사우디아라비아
- 아랍에미리트(UAE)
- 기타 중동 및 아프리카
The global market for Computational Lithography Software was estimated to be worth US$ 1268 million in 2024 and is forecast to a readjusted size of US$ 2368 million by 2031 with a CAGR of 10.1% during the forecast period 2025-2031.
Computational lithography software is a tool used to optimize and simulate lithography processes and is widely used in semiconductor manufacturing. It guides the optimization of lithography process parameters by computer simulation and simulation of the photochemical reactions and physical processes of the lithography process.
Manufacturing computer chips requires a key step called computational lithography, which is a complex calculation involving electromagnetic physics, photochemistry, computational geometry, iterative optimization, and distributed computing. This computational lithography step is already one of the largest computing workloads in semiconductor production, requiring a large number of data centers, and the evolution of silicon miniaturization will exponentially amplify computing needs over time. The task of creating masks for the manufacturing process has been an integral part of semiconductor manufacturing for decades. With the move to more advanced nodes such as 5nm, 3nm to 2nm, accelerating computational lithography turnaround time helps semiconductor manufacturing companies manufacture chips efficiently.
Global key players of Computational Lithography Software include ASML, KLA and Siemens, etc. The top three players hold a share over 80%. China Taiwan is the largest market, has a share about 26%. In terms of product type, OPC is the largest segment, occupied for a share of about 42%, and in terms of application, Logic/MPU has a share about 50 percent.
The development of lithography software is moving towards higher precision and faster processing speeds. In the future, artificial intelligence and machine learning will be widely used in lithography software for automated optimization and defect detection. In addition, the software will pay more attention to integration with other manufacturing links to improve overall production efficiency and yield rate.
This report aims to provide a comprehensive presentation of the global market for Computational Lithography Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Computational Lithography Software by region & country, by Type, and by Application.
The Computational Lithography Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Computational Lithography Software.
Market Segmentation
By Company
- ASML
- KLA
- Siemens
- Synopsys
- Cadence
- Dongfang Jingyuan Electron Co., Ltd.
- Yuwei Optics
Segment by Type
- OPC
- SMO
- MPT
- ILT
Segment by Application
- Memory
- Logic/MPU
- Others
By Region
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
- Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
- Latin America
- Mexico
- Brazil
- Rest of Latin America
- Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Computational Lithography Software company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Computational Lithography Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Computational Lithography Software in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Table of Contents
1 Market Overview
- 1.1 Computational Lithography Software Product Introduction
- 1.2 Global Computational Lithography Software Market Size Forecast (2020-2031)
- 1.3 Computational Lithography Software Market Trends & Drivers
- 1.3.1 Computational Lithography Software Industry Trends
- 1.3.2 Computational Lithography Software Market Drivers & Opportunity
- 1.3.3 Computational Lithography Software Market Challenges
- 1.3.4 Computational Lithography Software Market Restraints
- 1.4 Assumptions and Limitations
- 1.5 Study Objectives
- 1.6 Years Considered
2 Competitive Analysis by Company
- 2.1 Global Computational Lithography Software Players Revenue Ranking (2024)
- 2.2 Global Computational Lithography Software Revenue by Company (2020-2025)
- 2.3 Key Companies Computational Lithography Software Manufacturing Base Distribution and Headquarters
- 2.4 Key Companies Computational Lithography Software Product Offered
- 2.5 Key Companies Time to Begin Mass Production of Computational Lithography Software
- 2.6 Computational Lithography Software Market Competitive Analysis
- 2.6.1 Computational Lithography Software Market Concentration Rate (2020-2025)
- 2.6.2 Global 5 and 10 Largest Companies by Computational Lithography Software Revenue in 2024
- 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Computational Lithography Software as of 2024)
- 2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
- 3.1 Introduction by Type
- 3.1.1 OPC
- 3.1.2 SMO
- 3.1.3 MPT
- 3.1.4 ILT
- 3.2 Global Computational Lithography Software Sales Value by Type
- 3.2.1 Global Computational Lithography Software Sales Value by Type (2020 VS 2024 VS 2031)
- 3.2.2 Global Computational Lithography Software Sales Value, by Type (2020-2031)
- 3.2.3 Global Computational Lithography Software Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
- 4.1 Introduction by Application
- 4.1.1 Memory
- 4.1.2 Logic/MPU
- 4.1.3 Others
- 4.2 Global Computational Lithography Software Sales Value by Application
- 4.2.1 Global Computational Lithography Software Sales Value by Application (2020 VS 2024 VS 2031)
- 4.2.2 Global Computational Lithography Software Sales Value, by Application (2020-2031)
- 4.2.3 Global Computational Lithography Software Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
- 5.1 Global Computational Lithography Software Sales Value by Region
- 5.1.1 Global Computational Lithography Software Sales Value by Region: 2020 VS 2024 VS 2031
- 5.1.2 Global Computational Lithography Software Sales Value by Region (2020-2025)
- 5.1.3 Global Computational Lithography Software Sales Value by Region (2026-2031)
- 5.1.4 Global Computational Lithography Software Sales Value by Region (%), (2020-2031)
- 5.2 North America
- 5.2.1 North America Computational Lithography Software Sales Value, 2020-2031
- 5.2.2 North America Computational Lithography Software Sales Value by Country (%), 2024 VS 2031
- 5.3 Europe
- 5.3.1 Europe Computational Lithography Software Sales Value, 2020-2031
- 5.3.2 Europe Computational Lithography Software Sales Value by Country (%), 2024 VS 2031
- 5.4 Asia Pacific
- 5.4.1 Asia Pacific Computational Lithography Software Sales Value, 2020-2031
- 5.4.2 Asia Pacific Computational Lithography Software Sales Value by Region (%), 2024 VS 2031
- 5.5 South America
- 5.5.1 South America Computational Lithography Software Sales Value, 2020-2031
- 5.5.2 South America Computational Lithography Software Sales Value by Country (%), 2024 VS 2031
- 5.6 Middle East & Africa
- 5.6.1 Middle East & Africa Computational Lithography Software Sales Value, 2020-2031
- 5.6.2 Middle East & Africa Computational Lithography Software Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
- 6.1 Key Countries/Regions Computational Lithography Software Sales Value Growth Trends, 2020 VS 2024 VS 2031
- 6.2 Key Countries/Regions Computational Lithography Software Sales Value, 2020-2031
- 6.3 United States
- 6.3.1 United States Computational Lithography Software Sales Value, 2020-2031
- 6.3.2 United States Computational Lithography Software Sales Value by Type (%), 2024 VS 2031
- 6.3.3 United States Computational Lithography Software Sales Value by Application, 2024 VS 2031
- 6.4 Europe
- 6.4.1 Europe Computational Lithography Software Sales Value, 2020-2031
- 6.4.2 Europe Computational Lithography Software Sales Value by Type (%), 2024 VS 2031
- 6.4.3 Europe Computational Lithography Software Sales Value by Application, 2024 VS 2031
- 6.5 China
- 6.5.1 China Computational Lithography Software Sales Value, 2020-2031
- 6.5.2 China Computational Lithography Software Sales Value by Type (%), 2024 VS 2031
- 6.5.3 China Computational Lithography Software Sales Value by Application, 2024 VS 2031
- 6.6 Japan
- 6.6.1 Japan Computational Lithography Software Sales Value, 2020-2031
- 6.6.2 Japan Computational Lithography Software Sales Value by Type (%), 2024 VS 2031
- 6.6.3 Japan Computational Lithography Software Sales Value by Application, 2024 VS 2031
- 6.7 South Korea
- 6.7.1 South Korea Computational Lithography Software Sales Value, 2020-2031
- 6.7.2 South Korea Computational Lithography Software Sales Value by Type (%), 2024 VS 2031
- 6.7.3 South Korea Computational Lithography Software Sales Value by Application, 2024 VS 2031
- 6.8 Southeast Asia
- 6.8.1 Southeast Asia Computational Lithography Software Sales Value, 2020-2031
- 6.8.2 Southeast Asia Computational Lithography Software Sales Value by Type (%), 2024 VS 2031
- 6.8.3 Southeast Asia Computational Lithography Software Sales Value by Application, 2024 VS 2031
- 6.9 India
- 6.9.1 India Computational Lithography Software Sales Value, 2020-2031
- 6.9.2 India Computational Lithography Software Sales Value by Type (%), 2024 VS 2031
- 6.9.3 India Computational Lithography Software Sales Value by Application, 2024 VS 2031
7 Company Profiles
- 7.1 ASML
- 7.1.1 ASML Profile
- 7.1.2 ASML Main Business
- 7.1.3 ASML Computational Lithography Software Products, Services and Solutions
- 7.1.4 ASML Computational Lithography Software Revenue (US$ Million) & (2020-2025)
- 7.1.5 ASML Recent Developments
- 7.2 KLA
- 7.2.1 KLA Profile
- 7.2.2 KLA Main Business
- 7.2.3 KLA Computational Lithography Software Products, Services and Solutions
- 7.2.4 KLA Computational Lithography Software Revenue (US$ Million) & (2020-2025)
- 7.2.5 KLA Recent Developments
- 7.3 Siemens
- 7.3.1 Siemens Profile
- 7.3.2 Siemens Main Business
- 7.3.3 Siemens Computational Lithography Software Products, Services and Solutions
- 7.3.4 Siemens Computational Lithography Software Revenue (US$ Million) & (2020-2025)
- 7.3.5 Siemens Recent Developments
- 7.4 Synopsys
- 7.4.1 Synopsys Profile
- 7.4.2 Synopsys Main Business
- 7.4.3 Synopsys Computational Lithography Software Products, Services and Solutions
- 7.4.4 Synopsys Computational Lithography Software Revenue (US$ Million) & (2020-2025)
- 7.4.5 Synopsys Recent Developments
- 7.5 Cadence
- 7.5.1 Cadence Profile
- 7.5.2 Cadence Main Business
- 7.5.3 Cadence Computational Lithography Software Products, Services and Solutions
- 7.5.4 Cadence Computational Lithography Software Revenue (US$ Million) & (2020-2025)
- 7.5.5 Cadence Recent Developments
- 7.6 Dongfang Jingyuan Electron Co., Ltd.
- 7.6.1 Dongfang Jingyuan Electron Co., Ltd. Profile
- 7.6.2 Dongfang Jingyuan Electron Co., Ltd. Main Business
- 7.6.3 Dongfang Jingyuan Electron Co., Ltd. Computational Lithography Software Products, Services and Solutions
- 7.6.4 Dongfang Jingyuan Electron Co., Ltd. Computational Lithography Software Revenue (US$ Million) & (2020-2025)
- 7.6.5 Dongfang Jingyuan Electron Co., Ltd. Recent Developments
- 7.7 Yuwei Optics
- 7.7.1 Yuwei Optics Profile
- 7.7.2 Yuwei Optics Main Business
- 7.7.3 Yuwei Optics Computational Lithography Software Products, Services and Solutions
- 7.7.4 Yuwei Optics Computational Lithography Software Revenue (US$ Million) & (2020-2025)
- 7.7.5 Yuwei Optics Recent Developments
8 Industry Chain Analysis
- 8.1 Computational Lithography Software Industrial Chain
- 8.2 Computational Lithography Software Upstream Analysis
- 8.2.1 Key Raw Materials
- 8.2.2 Raw Materials Key Suppliers
- 8.2.3 Manufacturing Cost Structure
- 8.3 Midstream Analysis
- 8.4 Downstream Analysis (Customers Analysis)
- 8.5 Sales Model and Sales Channels
- 8.5.1 Computational Lithography Software Sales Model
- 8.5.2 Sales Channel
- 8.5.3 Computational Lithography Software Distributors
9 Research Findings and Conclusion
10 Appendix
- 10.1 Research Methodology
- 10.1.1 Methodology/Research Approach
- 10.1.1.1 Research Programs/Design
- 10.1.1.2 Market Size Estimation
- 10.1.1.3 Market Breakdown and Data Triangulation
- 10.1.2 Data Source
- 10.1.2.1 Secondary Sources
- 10.1.2.2 Primary Sources
- 10.1.1 Methodology/Research Approach
- 10.2 Author Details
- 10.3 Disclaimer
