반도체 및 일렉트로닉스용 빅데이터 분석 시장 보고서(2026년)
Big Data Analytics In Semiconductor And Electronics Global Market Report 2026
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리서치사 : The Business Research Company
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한글목차

반도체 및 일렉트로닉스용 빅데이터 분석 시장 규모는 최근 몇 년 동안 괄목할 만한 성장세를 보이고 있습니다. 2025년 233억 6,000만 달러에서 2026년 252억 7,000만 달러로 CAGR 8.2%로 확대될 것으로 예상됩니다. 지난 몇 년간의 성장 요인은 반도체 제조에 데이터웨어하우징의 조기 도입, 자동화 테스트 시스템의 보급, 반도체 제조 공정의 복잡성 증가, 전자부품 공급망의 디지털 기록 증가, 통계적 공정 관리의 조기 활용 등이 꼽힙니다.

반도체 및 일렉트로닉스용 빅데이터 분석 시장 규모는 향후 몇 년 동안 강력한 성장이 예상됩니다. 2030년에는 333억 1,000만 달러에 달할 것으로 예상되며, CAGR은 7.2%에 달할 것으로 예상됩니다. 예측 기간 동안의 성장 요인으로는 AI 기반 반도체 분석의 확대, 고급 수율 예측 모델에 대한 수요 증가, 데이터 집약적 칩 제조의 성장, 실시간 공급망 최적화 도구의 사용 확대, 전자기기 부문의 클라우드 기반 분석 도입 등을 꼽을 수 있습니다. 예측 기간의 주요 동향으로는 반도체 제조에서 예측 분석 활용 확대, 고장 감지 및 분류 시스템 도입 증가, 빅데이터 모델을 활용한 수율 최적화 수요 증가, 실시간 공급망 데이터 인텔리전스 확대, 전자제품 생산에서 데이터 기반 의사결정 강화 등을 꼽을 수 있습니다. 등을 들 수 있습니다.

향후 웨어러블 디바이스의 보급 확대가 반도체 및 일렉트로닉스용 빅데이터 분석을 주도할 것으로 예상됩니다. 웨어러블 디바이스는 신체에 착용하는 것을 목적으로 하는 소형 전자기기로, 일반적으로 건강 상태나 피트니스 추적, 또는 개인화된 정보를 제공할 수 있는 센서와 연결 기능을 갖추고 있는 것이 일반적입니다. 기술 발전, 건강 및 웰빙 트렌드, 라이프스타일 통합, 개인화, 연결성 요구, 패션성 등의 요인으로 인해 웨어러블 기기의 보급이 확대되고 있습니다. 웨어러블 디바이스는 건강 모니터링, 사용자 행동 분석, 실시간 추적, 예지보전 등의 목적으로 분석 가능한 귀중한 데이터를 생성함으로써 반도체 및 전자 산업에서 빅데이터 분석에 크게 기여하고 있습니다. 예를 들어, 미국 디지털 헬스 솔루션 소프트웨어 기업 Vicert에 따르면, 2022년 11월 기준 2023년에는 웨어러블 및 이어웨어 카테고리에 1억 5천만 개의 디바이스가 존재할 것으로 예측했습니다. 또한, 2028년까지 의료용 웨어러블 기술은 3,800억 달러 규모의 산업으로 성장할 것으로 예상됩니다. 따라서 웨어러블 디바이스의 보급 확대가 반도체 및 일렉트로닉스용 빅데이터 분석 성장을 주도하고 있습니다.

반도체 및 일렉트로닉스용 빅데이터 분석 시장의 주요 기업들은 칩 설계, 제조, 테스트 프로세스 전반에 걸쳐 수율 향상, 생산 효율성 최적화, 불량률 감소를 위해 풀스택 AI 기반 반도체 데이터 분석 플랫폼과 같은 기술 혁신 개발에 주력하고 있습니다. 풀스택 AI 기반 반도체 데이터 분석 플랫폼은 설계 파일, 제조 로그, 테스트 출력, 실생산 디바이스 지표 등에서 다양한 대용량 데이터를 수집하고, 머신러닝과 통계적 모델링을 적용하여 패턴을 식별하고 결함을 예측합니다. 이를 통해 고립된 데이터세트의 오프라인 분석에 의존하는 기존의 일괄 통계적 프로세스 관리(SPC)와 달리, 실시간으로 실용적인 인사이트를 얻을 수 있습니다. 예를 들어, 2023년 9월, 미국에 본사를 둔 전자 설계 자동화(EDA) 기업 시놉시스(Synopsys)는 반도체 및 전자기기 제조업체를 위한 'Synopsys.ai EDA Data Analytics' 솔루션을 발표하였습니다. 본 제품은 설계 데이터 분석(Design.da), 제조 모니터링(Fab.da), 실리콘 진단(Silicon.da) 모듈을 통합하여 페타바이트 규모의 데이터 수집, AI 기반 근본 원인 분석, 처방형 경보, 통합 대시보드를 지원하여 수율과 수율 및 처리량 향상을 실현합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 공급망 분석

제4장 세계의 시장 동향과 전략

제5장 최종 이용 산업 시장 분석

제6장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세의 영향, 관세 전쟁과 무역 보호주의가 공급망에 미치는 영향, 코로나가 시장에 미치는 영향을 포함한 거시경제 시나리오

제7장 세계의 전략 분석 프레임워크, 현재 시장 규모, 시장 비교와 성장률 분석

제8장 시장에서 세계의 총 잠재 시장 규모(TAM)

제9장 시장 세분화

제10장 지역별·국가별 분석

제11장 아시아태평양 시장

제12장 중국 시장

제13장 인도 시장

제14장 일본 시장

제15장 호주 시장

제16장 인도네시아 시장

제17장 한국 시장

제18장 대만 시장

제19장 동남아시아 시장

제20장 서유럽 시장

제21장 영국 시장

제22장 독일 시장

제23장 프랑스 시장

제24장 이탈리아 시장

제25장 스페인 시장

제26장 동유럽 시장

제27장 러시아 시장

제28장 북미 시장

제29장 미국 시장

제30장 캐나다 시장

제31장 남미 시장

제32장 브라질 시장

제33장 중동 시장

제34장 아프리카 시장

제35장 시장 규제 상황과 투자 환경

제36장 경쟁 구도와 기업 개요

제37장 기타 주요 기업과 혁신적 기업

제38장 세계의 시장 경쟁 벤치마킹과 대시보드

제39장 주요 인수합병

제40장 시장 잠재력이 높은 국가, 전략

제41장 부록

KSM
영문 목차

영문목차

Big data analytics in the semiconductor and electronics sector involves employing sophisticated analytics techniques to analyze extensive and intricate datasets generated within the industry. These datasets originate from diverse sources such as manufacturing processes, supply chain operations, product testing, and customer feedback. The application of big data analytics is pivotal for companies in the semiconductor and electronics industry as it facilitates the utilization of data-driven insights to optimize operational efficiency, elevate product quality, foster innovation, and secure a competitive advantage in the market.

The primary components of big data analytics encompass software and services. Software refers to a set of programs or instructions enabling computers or electronic devices to execute specific functions. Various analytics tools within this domain include dashboard and data visualization, reporting, self-service tools, data mining and warehousing, along with other analytics tools serving diverse purposes such as sales and marketing, fault detection and classification, predictive maintenance, virtual metrology, process optimization, yield prediction, among others. These applications cater to customer analytics, supply chain analytics, marketing analytics, pricing analytics, workforce analytics, and various other applications utilized by end-users including semiconductor and electronics industries.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs on semiconductor equipment, sensors, and electronics components have raised operational costs for analytics integration across semiconductor and electronics facilities, particularly in countries dependent on imported manufacturing tools. These tariffs heavily impact predictive maintenance, process optimization, and supply chain analytics segments due to increased hardware acquisition costs. However, tariffs also encourage greater domestic production of semiconductor tools, stimulate local analytics software development, and reduce long term reliance on foreign suppliers.

The big data analytics in the semiconductor and electronics research report is one of a series of new reports from The Business Research Company that provides big data analytics in the semiconductor and electronics market statistics, including the big data analytics in the semiconductor and electronics industry's global market size, regional shares, competitors with big data analytics in the semiconductor and electronics market share, detailed big data analytics in the semiconductor and electronics market segments, market trends and opportunities, and any further data you may need to thrive in the big data analytics in the semiconductor and electronics industry. This big data analytics in the semiconductor and electronics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The big data analytics in semiconductor and electronics market size has grown strongly in recent years. It will grow from $23.36 billion in 2025 to $25.27 billion in 2026 at a compound annual growth rate (CAGR) of 8.2%. The growth in the historic period can be attributed to early adoption of data warehousing in semiconductor production, rise in automated testing systems, increasing semiconductor fabrication complexity, growth in electronics supply chain digital records, early use of statistical process control.

The big data analytics in semiconductor and electronics market size is expected to see strong growth in the next few years. It will grow to $33.31 billion in 2030 at a compound annual growth rate (CAGR) of 7.2%. The growth in the forecast period can be attributed to expansion of AI based semiconductor analytics, rising demand for advanced yield prediction models, growth in data intensive chip manufacturing, increasing use of real time supply chain optimization tools, adoption of cloud based analytics in electronics. Major trends in the forecast period include growing use of predictive analytics for semiconductor manufacturing, increasing adoption of fault detection and classification systems, rising demand for yield optimization using big data models, expansion of real time supply chain data intelligence, enhanced use of data driven decision making in electronics production.

An upsurge in the penetration of wearable devices is expected to drive big data analytics in the semiconductor and electronics market going forward. Wearable devices are compact electronic gadgets designed to be worn on the body, often equipped with sensors and connectivity features for tracking health and fitness or delivering personalized information. The penetration of wearable devices is increasing due to technological advancements, health and wellness trends, lifestyle integration, personalization, connectivity needs, and fashion considerations. Wearable devices contribute significantly to big data analytics in the semiconductor and electronics industry by generating valuable data that can be analyzed for purposes such as health monitoring, user behavior analysis, real-time tracking, and predictive maintenance. For example, in November 2022, according to Vicert, a US-based digital health solution software company, 105 million devices were expected to be in the wearables and earwear category in 2023. Furthermore, by 2028, wearable technology for healthcare is projected to grow into a $380 billion industry. Therefore, an upsurge in the penetration of wearable devices is driving the growth of big data analytics in the semiconductor and electronics market.

Major companies in the semiconductor and electronics market are focusing on developing technological advancements such as full-stack AI-driven semiconductor data analytics platforms to improve yield, optimize production efficiency, and reduce defect rates across chip design, fabrication, and testing processes. A full-stack AI-driven semiconductor data analytics platform collects large volumes of diverse data from design files, fabrication logs, test outputs, and in-field device metrics, applies machine learning and statistical modeling to identify patterns and predict defects, and provides real-time actionable insights-unlike traditional batch statistical process control (SPC), which relies on offline analysis of isolated datasets. For example, in September 2023, Synopsys, Inc., a U.S.-based electronic design automation (EDA) company, introduced the Synopsys.ai EDA Data Analytics solution for semiconductor and electronics manufacturers. The product integrates modules for design data analytics (Design.da), fabrication monitoring (Fab.da), and silicon diagnostics (Silicon.da), supporting petabyte-scale data ingestion, AI-driven root-cause analysis, prescriptive alerts, and unified dashboards to enhance yield and throughput.

In December 2024, Cohu, Inc., a U.S.-based provider of semiconductor test, automation, inspection, and metrology equipment, acquired Tignis, Inc. for an undisclosed amount. This acquisition strengthens the company's semiconductor process control capabilities, expands its portfolio of AI- and analytics-driven software solutions, accelerates innovation in predictive and prescriptive analytics for semiconductor manufacturing, and positions it to capture growing opportunities in the big data analytics sector. Tignis, Inc. is a U.S.-based company specializing in AI-powered process control and analytics software for semiconductor manufacturing.

Major companies operating in the big data analytics in semiconductor and electronics market are Microsoft Corporation, Dell Inc, Amazon Web Services Inc, IBM Corporation, Cisco Systems Inc, Optimalplus Ltd, Broadcom Inc, SAP SE, Advanced Micro Devices Inc, ASML Holding NV, MediaTek Inc, Lam Research Corporation, Analog Devices Inc, KLA Corporation, Marvell Technology Group Ltd, Qualtera SAS, Synopsys Inc, Cadence Design Systems Inc, SAS Institute Inc, Splunk Inc, Silicon Laboratories Inc, Onto innovation Inc, TIBCO Software Inc, Rapidminer Inc, YieldHub, XDM technology co. Ltd, Mentor Graphics Corporation

North America was the largest region in the big data analytics in semiconductor and electronics market in 2025. The regions covered in the big data analytics in semiconductor and electronics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the big data analytics in semiconductor and electronics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The big data analytics in the semiconductor and electronics market includes revenues earned by entities by providing services such as predictive maintenance, yield optimization, and quality control. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Big Data Analytics In Semiconductor And Electronics Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses big data analytics in semiconductor and electronics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for big data analytics in semiconductor and electronics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The big data analytics in semiconductor and electronics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

Scope

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

2. Big Data Analytics In Semiconductor And Electronics Market Characteristics

3. Big Data Analytics In Semiconductor And Electronics Market Supply Chain Analysis

4. Global Big Data Analytics In Semiconductor And Electronics Market Trends And Strategies

5. Big Data Analytics In Semiconductor And Electronics Market Analysis Of End Use Industries

6. Big Data Analytics In Semiconductor And Electronics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Big Data Analytics In Semiconductor And Electronics Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

8. Global Big Data Analytics In Semiconductor And Electronics Total Addressable Market (TAM) Analysis for the Market

9. Big Data Analytics In Semiconductor And Electronics Market Segmentation

10. Big Data Analytics In Semiconductor And Electronics Market Regional And Country Analysis

11. Asia-Pacific Big Data Analytics In Semiconductor And Electronics Market

12. China Big Data Analytics In Semiconductor And Electronics Market

13. India Big Data Analytics In Semiconductor And Electronics Market

14. Japan Big Data Analytics In Semiconductor And Electronics Market

15. Australia Big Data Analytics In Semiconductor And Electronics Market

16. Indonesia Big Data Analytics In Semiconductor And Electronics Market

17. South Korea Big Data Analytics In Semiconductor And Electronics Market

18. Taiwan Big Data Analytics In Semiconductor And Electronics Market

19. South East Asia Big Data Analytics In Semiconductor And Electronics Market

20. Western Europe Big Data Analytics In Semiconductor And Electronics Market

21. UK Big Data Analytics In Semiconductor And Electronics Market

22. Germany Big Data Analytics In Semiconductor And Electronics Market

23. France Big Data Analytics In Semiconductor And Electronics Market

24. Italy Big Data Analytics In Semiconductor And Electronics Market

25. Spain Big Data Analytics In Semiconductor And Electronics Market

26. Eastern Europe Big Data Analytics In Semiconductor And Electronics Market

27. Russia Big Data Analytics In Semiconductor And Electronics Market

28. North America Big Data Analytics In Semiconductor And Electronics Market

29. USA Big Data Analytics In Semiconductor And Electronics Market

30. Canada Big Data Analytics In Semiconductor And Electronics Market

31. South America Big Data Analytics In Semiconductor And Electronics Market

32. Brazil Big Data Analytics In Semiconductor And Electronics Market

33. Middle East Big Data Analytics In Semiconductor And Electronics Market

34. Africa Big Data Analytics In Semiconductor And Electronics Market

35. Big Data Analytics In Semiconductor And Electronics Market Regulatory and Investment Landscape

36. Big Data Analytics In Semiconductor And Electronics Market Competitive Landscape And Company Profiles

37. Big Data Analytics In Semiconductor And Electronics Market Other Major And Innovative Companies

38. Global Big Data Analytics In Semiconductor And Electronics Market Competitive Benchmarking And Dashboard

39. Key Mergers And Acquisitions In The Big Data Analytics In Semiconductor And Electronics Market

40. Big Data Analytics In Semiconductor And Electronics Market High Potential Countries, Segments and Strategies

41. Appendix

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