In the fourth quarter of 2024, Taiwan Semiconductor Manufacturing Company (TSMC) recorded a market share of **** percent in the global semiconductor foundry market, while Samsung occupied *** percent of the market. In terms of revenue, the top ten semiconductor foundries worldwide generated ***** billion U.S. dollars in the fourth quarter of 2024. The semiconductor manufacturing process is complex The semiconductor supply chain can be categorized into roughly three distinct stages: design, fabrication, and assembly. Companies that perform all three of these steps are referred to as integrated device manufacturers, with examples including Intel and Samsung. Firms that only design chips, known as fabless companies, rely on chip manufacturers, or foundries, for fabrication. A reliance on semiconductor foundries Fabless companies work closely with the foundries, companies that manufacture chips in fabrication plants, with the market leader TSMC contracted by various companies. Founded in 1987, TSMC decided not to manufacture any products under its name so that the company never engages in direct competition with its customers. Under this strategy, TSMC became the world’s largest semiconductor foundry and a key supplier for large tech companies.

Taiwan Semiconductor Mfg reported $1.25T in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Taiwan Semiconductor Mfg | TSM - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last August in 2025.

In 2024, Taiwan Semiconductor Manufacturing Company (TSMC) gained around ** percent of net revenue from the North American market. As a global semiconductor foundry leader, TSMC accounted for around ** percent of market share in the global advanced, specialty and advanced packaging technologies market that year.

Taiwan Semiconductor is well-positioned to benefit from the growing demand for semiconductors, driven by the proliferation of AI, 5G, and cloud computing. Its strong market share and advanced technology give it a competitive advantage. However, risks include geopolitical tensions with China, supply chain disruptions, and increasing competition.

Taiwan Semiconductor Mfg stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Taiwan Semi (TSM) Stock: Poised for Growth or Facing Headwinds?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Saponin/TSM Market size was valued at USD 3.4 Bln (billion) in 2025 and the revenue is expected to grow at a CAGR of 10.7% from 2025 to 2032

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

TSM: Can Taiwan Semi Maintain Its Chip Dominance?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for TSM held by CLEAR STREET MARKETS LLC from Q3 2014 to Q1 2025

Global Bulk Acoustic Wave Sensors market size 2025 was XX Million. Bulk Acoustic Wave Sensors Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for TSM held by Main Street Research LLC from Q3 2013 to Q1 2025

Explore Market Research Intellect's Total Spend Management Software Market Report, valued at USD 2.5 billion in 2024, with a projected market growth to USD 5.1 billion by 2033, and a CAGR of 8.7% from 2026 to 2033.

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for TSM held by Intrinsic Value Partners LLC from Q1 2022 to Q2 2025

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for TSM held by C WorldWide Group Holding A S from Q4 2014 to Q1 2025

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Taiwan Semiconductor: A Chip off the Old Block (TSM)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for TSM held by Third Point LLC from Q2 2023 to Q1 2025

The Tail Spend Management (TSM) solution market is experiencing robust growth, driven by the increasing need for organizations to optimize their procurement processes and reduce costs associated with low-value, high-volume purchases. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This growth is fueled by several key factors, including the rising adoption of cloud-based procurement solutions, the increasing focus on digital transformation initiatives across industries, and the growing demand for enhanced visibility and control over indirect spending. Manufacturing, retail, and financial services sectors are significant contributors to market growth, driven by the complexity of their supply chains and the need for efficient procurement practices. The Spend Analysis segment holds a dominant market share due to its crucial role in identifying tail spend opportunities and optimizing procurement strategies. Key players like Coupa, SAP Ariba, and Jaggaer are continuously innovating to enhance their offerings and cater to the evolving needs of businesses, further fueling market expansion. However, challenges remain, including the integration complexity of TSM solutions with existing enterprise resource planning (ERP) systems and the resistance to change within organizations. Furthermore, the diverse nature of tail spend, with its numerous suppliers and varying contract terms, poses a significant hurdle for effective management. Despite these challenges, the overall market outlook remains positive, particularly with advancements in artificial intelligence (AI) and machine learning (ML) enhancing the capabilities of TSM solutions, improving accuracy in spend analysis, and automating contract management processes. The expansion into emerging markets in Asia-Pacific and Middle East & Africa presents significant opportunities for growth in the coming years. The continued focus on improving supplier relationships and fostering greater transparency throughout the procurement process will further propel the market forward.

The global household sausage stuffer market is experiencing robust growth, projected to reach a market size of $150 million by 2025, expanding at a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key drivers, including the increasing popularity of homemade food, a rising preference for healthier and customized food options, and the convenience offered by these appliances. Consumers are increasingly seeking control over the ingredients and quality of their food, leading to a surge in demand for home-based food preparation equipment like sausage stuffers. The market is segmented by type (manual and electric), material (stainless steel, plastic, etc.), and price range, catering to diverse consumer preferences and budgets. Key players like Promarks, Hakka Brothers, LEM Products, Northern Tool, Sirman, Kitchener, Weston, and TSM Corporation (The Sausage Maker) are actively shaping the market through product innovation and strategic expansion. The market's growth trajectory is influenced by several trends, including the rise of online retail channels offering convenient purchasing options, and a growing emphasis on user-friendly and durable appliances. However, restraining factors such as the relatively high cost of premium sausage stuffers and the availability of substitute methods for sausage making, albeit less efficient, might partially limit market expansion. Nevertheless, the increasing popularity of home-based food preparation and a strong focus on customization are projected to sustain considerable market growth throughout the forecast period (2025-2033). The regional market share is expected to be largely driven by developed economies with a strong focus on convenient kitchen appliances and a culture of home-based food preparation.

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for TSM held by CALIFORNIA FIRST NATIONAL BANCORP from Q2 2023 to Q1 2025

The global Vertical Conical Spiral Mixer market is experiencing robust growth, driven by increasing demand across diverse sectors like food processing, pharmaceuticals, and chemicals. The market, estimated at $500 million in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several factors, including the rising need for efficient and high-quality mixing solutions, the expanding food and pharmaceutical industries, and the growing adoption of automation in manufacturing processes. The versatility of these mixers, allowing for the processing of various materials with varying viscosities, contributes significantly to their widespread adoption. Furthermore, ongoing technological advancements, such as improved design for enhanced mixing performance and energy efficiency, are driving further market expansion. The single helix segment currently holds a larger market share compared to the double helix segment, owing to its simpler design and lower cost. However, the double helix segment is anticipated to witness faster growth in the coming years due to its ability to handle higher viscosities and achieve more homogeneous mixing. Significant regional variations exist within the market. North America and Europe currently represent the largest market segments, driven by established industries and high adoption rates. However, the Asia-Pacific region is poised for significant growth, fueled by rapid industrialization and increasing investments in the food processing and pharmaceutical sectors in countries like China and India. The market faces certain restraints, primarily the high initial investment cost associated with purchasing these sophisticated machines and the need for specialized technical expertise in operation and maintenance. However, the long-term benefits in terms of improved product quality, increased production efficiency, and reduced labor costs outweigh these limitations, ensuring continued market expansion. Major players like PerMix, TSM Control Systems, and ROSS Mixers are driving innovation and competition, further shaping the market landscape.