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Global Semiconductor Memory Market to reach USD 160.18 billion by the end of 2030

Global Semiconductor Memory Market Size study & Forecast, by Type (Static Random-Access Memory, Magnetoresistive Random-Access Memory, Dynamic Random-Access Memory, Flash Read-Only Memory, Others), by Application (Consumer Electronics, IT & Telecommunication, Automotive, Industrial, Aerospace & Defence, Medical, Others) and Regional Analysis, 2023-2030

Product Code: EESC-26312533
Publish Date: 20-07-2023
Page: 200

Global Semiconductor Memory Market is valued at approximately USD 101.26 billion in 2022 and is anticipated to grow with a CAGR of more than 5.90% over the forecast period 2023-2030. Semiconductor memory refers to a type of electronic memory that is implemented using semiconductor devices, such as transistors. It is a crucial component of modern computing systems, including computers, smartphones, and other electronic devices. Semiconductor memory stores digital information in the form of binary data (0s and 1s) and provides fast access to this data for read and write operations. It is commonly used to store program instructions, data, and other information that needs to be accessed quickly by the central processing unit (CPU) of a computer. Moreover, the growing electronics market and increasing frontier technology market are anticipated as the market drivers. Furthermore, increasing data centre facilities and growing concerned towards automation emerged as growth opportunities in the market during the forecasted year 2023-2030.

According to India Brand Equity Foundation (IBEF) in 2023, the Indian electronics manufacturing industry is expected to reach a market size of USD 520 billion by 2025. The demand for electronic products is expected to rise to USD 400 billion by 2025, with a 2.3-fold increase in the electronics system market, reaching USD 160 billion by FY25. Notably, IT/OA shows the highest CAGR at 54% in the Electronic System Design and Manufacturing (ESDM) sector. This reflects the strong growth potential and emerging opportunities in India’s electronics manufacturing industry. According to United Nations Conference on Trade and Development (UNCTAD) in 2023, the frontier technology market is projected to experience significant growth by 2030, reaching an estimated market size of around USD 9,469 billion. This market encompasses advanced technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI), which play crucial roles in driving the expansion of the global frontier technology sector. Specifically, the IoT and AI sectors are expected to contribute approximately USD 4,422 billion and USD 1,582 billion, respectively, accounting for 47% and 17% of the total market size. These substantial contributions highlight the substantial impact of these innovative and advanced technologies, which ultimately contribute to the overall growth and advancement of the industry. However, complex manufacturing processes and a limited supply of raw materials may hamper the growth of the market over the forecast period 2023-2030.

The key regions considered for the Global Semiconductor Memory Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific region dominates the semiconductor memory market due to several key factors. It boasts significant investments in data centers, particularly in countries such as India, Singapore, and Indonesia, driving the demand for memory solutions. The region’s strong manufacturing ecosystem, with countries such as China, Japan, and South Korea, ensures cost-effective production and easy availability of raw materials. Additionally, the growing demand for consumer electronics, digitization efforts, technological advancements, and the presence of major industry players further solidify the Asia Pacific region’s dominance in the semiconductor memory market. North America is the fastest-growing region in the semiconductor memory market due to increased investments in advanced technologies such as AI, ML, and IoT, a strong presence of leading technology companies, a robust research and development ecosystem, and substantial investments in data centers and cloud services.

Major market player included in this report are:
Integrated Silicon Solution Inc.
Micron Technology Inc.
Macronix International Co., Ltd
Samsung Electronics Co Ltd
SK Hynix Inc.
Taiwan Semiconductor Manufacturing Company Limited
Texas Instruments Inc.
Toshiba Corporation
Cypress Semiconductor Corporation
International Business Machines Corporation

Recent Developments in the Market:
Ø In October 2021, Micron Technology, a memory manufacturer based in the United States, announced plans to invest over USD 150 billion globally in the next ten years. This investment focuses on advanced memory manufacturing, research, and development, with the possibility of expanding their fabrication facilities within the United States.
Ø In December 2021, Micron Technology revealed an expanded business partnership with United Microelectronics Corporation (UMC), which enables Micron to ensure a stable supply for mobile, automotive, and crucial customers in the foreseeable future.

Global Semiconductor Memory Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Application, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Static Random-Access Memory
Magnetoresistive Random-Access Memory
Dynamic Random-Access Memory
Flash Read-Only Memory

By Application:
Consumer Electronics
IT & Telecommunication
Aerospace & Defence

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Semiconductor Memory Market, by Region, 2020-2030 (USD Billion)
1.2.2. Semiconductor Memory Market, by Type, 2020-2030 (USD Billion)
1.2.3. Semiconductor Memory Market, by Application, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Semiconductor Memory Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Semiconductor Memory Market Dynamics
3.1. Semiconductor Memory Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Growing Electronics Market Increasing Frontier Technology Market
3.1.2. Market Challenges Complex Manufacturing Process Limited Supply of Raw Material
3.1.3. Market Opportunities Increasing Data Centre Facilities Growing Concern Towards Automation
Chapter 4. Global Semiconductor Memory Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Semiconductor Memory Market, by Type
5.1. Market Snapshot
5.2. Global Semiconductor Memory Market by Type, Performance – Potential Analysis
5.3. Global Semiconductor Memory Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Semiconductor Memory Market, Sub Segment Analysis
5.4.1. Static Random-Access Memory
5.4.2. Magnetoresistive Random-Access Memory
5.4.3. Dynamic Random-Access Memory
5.4.4. Flash Read-Only Memory
5.4.5. Others
Chapter 6. Global Semiconductor Memory Market, by Application
6.1. Market Snapshot
6.2. Global Semiconductor Memory Market by Application, Performance – Potential Analysis
6.3. Global Semiconductor Memory Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
6.4. Semiconductor Memory Market, Sub Segment Analysis
6.4.1. Consumer Electronics
6.4.2. IT & Telecommunication
6.4.3. Automotive
6.4.4. Industrial
6.4.5. Aerospace & Defence
6.4.6. Medical
6.4.7. Others
Chapter 7. Global Semiconductor Memory Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Semiconductor Memory Market, Regional Market Snapshot
7.4. North America Semiconductor Memory Market
7.4.1. U.S. Semiconductor Memory Market Type breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Semiconductor Memory Market
7.5. Europe Semiconductor Memory Market Snapshot
7.5.1. U.K. Semiconductor Memory Market
7.5.2. Germany Semiconductor Memory Market
7.5.3. France Semiconductor Memory Market
7.5.4. Spain Semiconductor Memory Market
7.5.5. Italy Semiconductor Memory Market
7.5.6. Rest of Europe Semiconductor Memory Market
7.6. Asia-Pacific Semiconductor Memory Market Snapshot
7.6.1. China Semiconductor Memory Market
7.6.2. India Semiconductor Memory Market
7.6.3. Japan Semiconductor Memory Market
7.6.4. Australia Semiconductor Memory Market
7.6.5. South Korea Semiconductor Memory Market
7.6.6. Rest of Asia Pacific Semiconductor Memory Market
7.7. Latin America Semiconductor Memory Market Snapshot
7.7.1. Brazil Semiconductor Memory Market
7.7.2. Mexico Semiconductor Memory Market
7.8. Middle East & Africa Semiconductor Memory Market
7.8.1. Saudi Arabia Semiconductor Memory Market
7.8.2. South Africa Semiconductor Memory Market
7.8.3. Rest of Middle East & Africa Semiconductor Memory Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Integrated Silicon Solution Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Micron Technology Inc.
8.3.3. Macronix International Co., Ltd
8.3.4. Samsung Electronics Co Ltd
8.3.5. SK Hynix Inc.
8.3.6. Taiwan Semiconductor Manufacturing Company Limited d
8.3.7. Texas Instruments Inc.
8.3.8. Toshiba Corporation
8.3.9. Cypress Semiconductor Corporation
8.3.10. International Business Machines Corporation
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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