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세계의 반도체 및 일렉트로닉스 빅데이터 분석 시장 보고서(2025년)
Big Data Analytics In Semiconductor And Electronics Global Market Report 2025
상품코드 : 1802649
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

반도체 및 일렉트로닉스 빅데이터 분석 시장 규모는 향후 수년간 강력한 성장이 예상됩니다. 2029년 연평균 성장률(CAGR)은 7.7%를 나타내 313억 9,000만 달러로 성장할 전망입니다. 예측 기간의 성장 배경으로는 세계 반도체 산업과의 협력, 커스터마이징 및 개인화 요구, 환경 및 지속가능성에 대한 노력, 디지털 트윈 기술 채택, 사이버 보안 강조 등이 있습니다. 예측기간의 주요 동향으로는 공급망 투명화를 위한 블록체인, 크로스 도메인 협업 플랫폼, 에지 AI 칩 개발, 제조의 예지 보전, AI 구동 설계 및 최적화 등이 있습니다.

향후 5년간의 성장률 7.7%라고 하는 예측은 이 시장의 전회 예측으로부터 1.3%의 소폭의 감소를 반영하고 있습니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향 때문입니다. 이는 이스라엘과 인도에서 개발된 인공지능(AI)을 탑재한 분석 플랫폼에 대한 접근이 제한됨으로써 미국에 직접 영향을 주어 반도체 제조 수율과 공급망 예측 최적화가 지연될 수 있습니다. 또한 상호 관세와 무역 긴장 증가와 제한으로 인한 세계 경제와 무역에 대한 악영향으로 인해 그 영향이 더 광범위하게 늘어날 것으로 보입니다.

웨어러블 디바이스의 보급이 예상에 따라 반도체 및 일렉트로닉스 빅데이터 분석 시장의 진전이 촉진됩니다. 웨어러블 디바이스는 센서와 연결 기능을 갖춘 신체 장착용으로 설계된 컴팩트한 전자 가젯으로, 기술의 진보, 건강 동향, 라이프 스타일의 통합, 개인화, 접속 요구, 패션에 대한 배려로부터 각광을 받고 있습니다. 이러한 디바이스는 건강 모니터링, 사용자 행동 분석, 실시간 모니터링, 예지 보전을 위한 귀중한 데이터를 공급함으로써 반도체 및 일렉트로닉스 분야의 빅데이터 분석에 크게 기여하고 있습니다. 특히 미국의 디지털 헬스 솔루션 소프트웨어 기업인 Vicert사의 데이터에 따르면, 웨어러블 단말기의 출하량은 2021년 5억 3,360만대에 달했으며 시계, 보청기 및 기타 보조 기기를 포함했습니다. 예측에서는 2023년까지 웨어러블 단말과 귀가형 단말의 카테고리는 약 1억 500만대가 되었는데 반도체 및 일렉트로닉스 빅데이터 분석 시장의 성장을 가속하는 데 있어서, 웨어러블 단말의 보급이 극히 중요한 역할을 하는 것이 강조되고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
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.

The sharp escalation of U.S. tariffs and resulting trade tensions in spring 2025 are significantly affecting the electrical and electronics sector. Key components such as semiconductors, display panels, and rare-earth metals crucial for batteries and motors are now facing heavy duties. Consumer electronics companies are seeing profit margins shrink, as fierce competition makes it difficult to pass on rising costs to consumers. At the same time, industrial electronics firms are experiencing project delays due to shortages of tariff-impacted parts like printed circuit boards. In response, businesses are shifting assembly operations to tariff-exempt nations, building up inventory reserves, and redesigning products to reduce reliance on restricted materials.

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 $21.8 billion in 2024 to $23.36 billion in 2025 at a compound annual growth rate (CAGR) of 7.1%. The growth in the historic period can be attributed to the increasing complexity of semiconductor designs, rapid growth in IoT, demand for faster time-to-market, quality control and yield optimization, energy efficiency, and sustainability.

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 $31.39 billion in 2029 at a compound annual growth rate (CAGR) of 7.7%. The growth in the forecast period can be attributed to global semiconductor industry collaboration, customization and personalization demands, environmental and sustainability initiatives, digital twin technology adoption, and increased emphasis on cybersecurity. Major trends in the forecast period include blockchain for supply chain transparency, cross-domain collaboration platforms, edge AI chip development, predictive maintenance in manufacturing, and AI-driven design and optimization.

The forecast of 7.7% growth over the next five years reflects a modest reduction of 1.3% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US through restricted access to Artificial Intelligence (AI)-powered analytics platforms developed in Israel and India, potentially slowing optimization of semiconductor manufacturing yields and supply chain forecasting. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The anticipated increase in the penetration of wearable devices is set to drive the advancement of big data analytics within the semiconductor and electronics market. Wearable devices, compact electronic gadgets designed for body-worn use, equipped with sensors and connectivity features, are gaining prominence due to technological advancements, health trends, lifestyle integration, personalization, connectivity needs, and fashion considerations. These devices significantly contribute to big data analytics in the semiconductor and electronics sector by supplying valuable data for health monitoring, user behavior analysis, real-time monitoring, and predictive maintenance. Notably, data from Vicert, a US-based digital health solution software company, indicates that wearable device shipments reached 533.6 million in 2021, encompassing watches, hearing aids, and other assistive equipment. Projections suggest that by 2023, the wearables and earwear category will comprise approximately 105 million devices, underscoring the pivotal role of wearable device penetration in driving the growth of big data analytics in the semiconductor and electronics market.

Key players within the big data analytics sector in the semiconductor and electronics market are directing their efforts towards developing innovative solutions to gain competitive advantages. One such solution is Amazon EC2 C7g, introduced by Amazon.com, Inc., a US-based e-commerce company, in November 2022. Amazon EC2 C7g, powered by New AWS-designed chips, offers customers enhanced computing performance at reduced costs across a wide spectrum of workloads. Specifically, Hpc7g instances, featuring the latest AWS Graviton3E chips, deliver up to twice the floating-point performance compared to current C6gn instances and up to 20% higher performance than current Hpc6a instances, thus providing optimal price performance for AWS high-performance computing (HPC) workloads.

In June 2022, Altair Engineering Inc., a US-based software company, completed the acquisition of Concept Engineering for an undisclosed sum. This strategic acquisition is aimed at bolstering Altair's electronic system design suite by integrating Concept Engineering's advanced visualization technology. Concept Engineering, a US-based provider of electronic system visualization software with applications across various industries, adds value to Altair's offerings by enhancing visualization capabilities, thereby enriching the electronic system design process.

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 2024. The regions covered in the big data analytics in semiconductor and electronics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the big data analytics in semiconductor and electronics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, 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 Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on 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, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

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 Trends And Strategies

4. Big Data Analytics In Semiconductor And Electronics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Big Data Analytics In Semiconductor And Electronics Growth Analysis And Strategic Analysis Framework

6. Big Data Analytics In Semiconductor And Electronics Market Segmentation

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

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

9. China Big Data Analytics In Semiconductor And Electronics Market

10. India Big Data Analytics In Semiconductor And Electronics Market

11. Japan Big Data Analytics In Semiconductor And Electronics Market

12. Australia Big Data Analytics In Semiconductor And Electronics Market

13. Indonesia Big Data Analytics In Semiconductor And Electronics Market

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

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

16. UK Big Data Analytics In Semiconductor And Electronics Market

17. Germany Big Data Analytics In Semiconductor And Electronics Market

18. France Big Data Analytics In Semiconductor And Electronics Market

19. Italy Big Data Analytics In Semiconductor And Electronics Market

20. Spain Big Data Analytics In Semiconductor And Electronics Market

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

22. Russia Big Data Analytics In Semiconductor And Electronics Market

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

24. USA Big Data Analytics In Semiconductor And Electronics Market

25. Canada Big Data Analytics In Semiconductor And Electronics Market

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

27. Brazil Big Data Analytics In Semiconductor And Electronics Market

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

29. Africa Big Data Analytics In Semiconductor And Electronics Market

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

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

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

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

34. Recent Developments In The Big Data Analytics In Semiconductor And Electronics Market

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

36. Appendix

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