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U.S. consumers are flush with cash, the American economy is hurtling back from the depths of the COVID-19 pandemic, and the semiconductor industry is flying high on skyrocketing chip demand, with chip equities soaring since the initial outbreak in early 2020 as virus outbreaks worldwide supercharged demand for the digitization of everything from factories to home offices. “Wow, what a difference a year makes,” said Jennie Raubacher, Global Head of Semiconductor Electronics Investment Banking at Wells Fargo, speaking at a recent SEMI webinar. The two rounds of government stimulus payments in 2020 and 2021 gave many U.S. households the safety net to withstand the heaviest blows dealt by the COVID-19 pandemic and stoked consumer spending that has helped lift a hobbled economy. Durable goods spending in the U.S. has also seen a sharp rebound, surging more than 60% from its April 2020 trough, Raubacher said. The twin forces have driven a blistering U.S. economic recovery after GDP shrunk about 10% by the second quarter of 2020 only to bounce back in the first quarter of this year to roughly $19 trillion, regaining the lost ground to match the GDP charted at the end of 2019. With the U.S. economy continuing to gain steam, inflation has, as expected, edged higher, with price increases particularly acute in used vehicle and lumber markets. Despite surging prices, Wells Fargo sees inflation moderating as durable goods demand slows, easing pressure on interest rates, Raubacher said. Equity Valuations at Record Highs Heady semiconductor stock prices are not new. Over the past 15 years, equity prices of chip companies in the S P 500 have grown more than 460%, outpacing the 230% jump in value of the S P 500 index overall, Raubacher said. And chip stocks continue to shine. Since early 2020, when the spread of COVID-19 hit its rapid clip, the recognition of the growing importance of chips to economies around the world has exploded. That dynamic joined secular technology trends including autonomous driving development, industrial and factory automation, 5G infrastructure buildouts, data center expansions, and smart city and smart home innovation fueled by the Internet of Things (IoT) as key drivers of semiconductor stock valuations. With its price/earnings (PE) ratio now at more than 21x, the S P 500 is well above its historical average of 15x PE. “The S P 500 valuation is at record high any way you look at it, and valuation multiples across the board, currently at 3x Next Twelve Months revenue, have increased dramatically from historical averages,” Raubacher said. Semiconductor stock valuations are on similar trajectory, with the SOXX index now at 15x Next Twelve Months EBITDA (earnings before interest, taxes, depreciation and amortization). “While semiconductor stocks may seem highly valued compared to historical levels, the chip industry has grown faster and expanded profitability by a wider margin than S P 500 companies,” Raubacher said. With that differential, “semiconductor equities are not as expensive as they may seem at first glance.” Earnings expansion and valuation multiple increases for the chip industry over the past 15 years have translated into a more than 500% jump in market capitalization, compared to a 300% increase for the S P 500 excluding chip companies, she said. Chip company revenue growth in the first quarter of 2021 was predictably low due to seasonality, dipping 2.4%, though dropped less than the historical average, Raubacher said. Second-quarter revenue growth for the industry is expected to hew to the historical average of 6%. Semiconductor growth forecasts by market analysts for 2021 range widely from 6% to 17% year-over-year, she added. Chip Companies Raise Capital at Record Pace In 2020 and 2021, semiconductor companies have raised an unprecedented $82 billion in capital to finance maturing debt and acquisitions, a wave that will “likely catalyze further consolidation in the sector,” Raubacher said. None of the financing has stemmed from liquidity crunches. Since Raubacher joined Wells Fargo 10 years ago to lead its semiconductor practice, the group has executed more than 175 transactions including $40 billion in mergers and acquisitions and $360 billion of financing for its semiconductor industry clients. “With a strong macroeconomic backdrop and demand environment, relatively low interest rates, semiconductor companies showing strong business fundamentals and robust valuations, we expect a pickup in M A activity,” she said. Growth Forecast Across Most Semiconductor Applications The next four years will see the chip industry grow across most applications including wireless communications, consumer electronics, transportation and medical. Automotive and industrial/aerospace will lead the way, expanding at an expected compounded annual growth rate of 14% and 10%, respectively, from 2020 to 2025 to “drive a significant portion of the TAM expansion during that period,” Raubacher said. Across all applications, the semiconductor industry is expected to grow at a 6.8% CAGR from 2020 through 2025, adding $183 billion in revenue by the end of the forecast period, she said. ESG Rises in Importance For their part, investors now focus on more than pure business performance when valuing individual companies. The ability of businesses to reduce their carbon footprint, promote workplace diversity and take other steps to serve the greater good as part of Environmental, Social and Governance (ESG) programs are carrying more weight in valuation models. “Investors are paying more and more attention to ESG initiatives and targets,” Raubacher said. “On the debt side, we’re seeing things like green bonds and interest rate reductions tied to ESG targets. Only a few semiconductor companies have incorporated ESG measures into their financing, so it’s still early days. It really comes down to the metrics you can track in your companies and the goals and targets you can commit to. It will be a very company-specific approach rather than an industry standard.” In the chip industry, Raubacher noted that ESG targets are geared not only to manufacturing equipment and processes in fabs and other semiconductor facilities throughout the supply chain, but increasingly also to chips themselves. As technology innovation continues to spur the development of chips to power more electronics for consumers and businesses, their proliferation comes at a cost: greater energy consumption. The upshot is that semiconductor makers are becoming more focused than ever on power-efficient designs to bolster their ESG initiatives, Raubacher said. Many semiconductor players across the supply chain are reducing their carbon footprint by switching to energy-saving equipment and reducing water waste, Raubacher said. At the same time, more semiconductor executives are recognizing the rising importance of highlighting corporate achievements across all aspects of ESG. More Governments See Vital Importance of Semiconductors As shelter-in-place orders took hold in countries worldwide after the initial COVID-19 outbreak, work-from-home offices, online shopping, virtual classes and remote doctor’s visits became the norm. The electronics at the heart of this connectivity – born of both necessity and convenience – and the chips that power them took on outsized importance around the world. Geopolitical skirmishes intensified and supply chains across the semiconductor industry were reimagined and redrawn. Governments jockeyed for advantage in the race to build new semiconductor manufacturing facilities and upped their chip investments. An acute chip shortage that started in the automotive industry and quickly spread to other sectors magnified just how pervasive and vital semiconductors had become in making the world go round. “There’s no question that the semiconductor industry is vitally important to global and national economies as governments around the world now recognize its strategic importance,” Raubacher said. That puts the industry in an even stronger position to help lay the regulatory groundwork for its own future. “There’s a unique opportunity for semiconductor industry executives to shape the public policies that could impact the direction of the industry for the next 30 years,” she said. More than 750 people attended the June 2nd webinar, Surging Chip Demand, Digital Transformation, and the Pandemic – What’s Next?, sponsored by SEMI members Brooks Automation, Hitachi, JECT, KLA and TEL. Sven Smit of McKinsey Company also delivered his talk Leading in COVID-19 Exit at the event.
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Ride the Wave of Smarter Manufacturing The year 2020 sparked a tremendous acceleration in the digital transformation worldwide, driving a sharp rise in demand for semiconductors and escalating pressure on chip factories to reduce manual functions on the shop floor. The mindset of the semiconductor industry saw a remarkable shift as it recognized with heightened urgency the need to deploy data-driven visualization, analysis, scheduling and dispatching solutions to increase automation to improve production speed and efficiency. Amidst the new excitement around Industry 4.0, chip manufacturers are rapidly deploying new technologies including IIoT, big data, machine learning and Autonomous Intelligent Vehicles (AIVs). Yet for many chip manufacturers, the path to building a smart factory is far from clear because they lack an overall digital transformation strategy. Smart manufacturing is a broad concept covering an array of technologies and solutions, making a holistic, mid- to long-term digitalization strategy rooted in the overall business strategy crucial. There are no shortcuts that can move a manufacturer instantly to Industry 4.0. Instead, this transformation is a step-by-step undertaking with a natural evolution. Some Factory Tasks Must Remain Manual – For Now The semiconductor industry has reached a point where manual processes are no longer efficient enough to support mass chip customization and remote operations. The many technological and standardization advances behind automation can help streamline some of a factory’s most labor-intensive tasks including the loading or unloading of machines or lot tracking and data collection while reducing operational costs. Still, some tasks remain very difficult to automate. For example, handling errors and exceptions presents the greatest challenge since some errors are hard to anticipate. What’s more, the cost of automating error handling can be prohibitive. Eliminating Gaps in Connectivity Often, critical data sources aren’t available due to lack of equipment integration, incomplete product quality monitoring or gaps in material tracking. Closing these gaps in connectivity enables the collection of data and provides rich, reliable information for analysis and reporting that can drive continuous operational improvements, optimizations and efficiencies throughout a factory. But keep in mind that data integration alone can be a challenging task. The selection and proper enrichment of relevant data is, in many cases, not just a technical problem but requires a detailed and in-depth knowledge of the manufacturing steps to be analyzed and optimized. Even when data is available, it might be still difficult to make decisions or implement improvements if it is in siloed systems that require manual processes to integrate and translate into useful information. Problem solving at this level is possible but extremely time-consuming. Manual integration is not only ineffective but costly, draining time, human resources and money from the factory. The right contextual information for the data is vital to unleash its potential and make improvements possible. Dispersed solutions cannot control processes because they span functional areas and people, physical and business entities. Backbone software for shop-floor operations that controls all other applications is central to smart manufacturing. Data-Driven Manufacturing The semiconductor industry is expert in data collection and leads many other industries in this area. The problem is often that chip companies use only a fraction of the information they collect for the analysis and insights needed to improve operational efficiency. By comprehensively integrating all distributed data into a single version of truth – in one location where it is always available – companies can make data analysis and problem solving almost frictionless. Keep in mind that data platforms and edge solutions, within the context of manufacturing, will not be adopted as part of a greenfield initiative. Building a solid automation architecture is only feasible and beneficial by deploying new technologies such as machine learning and artificial intelligence (AI). Analysis of historical data provides important context and reveals deviations such as unexpected process time, uncommon material accumulations or issues with material transport. By integrating swift control actions for new data point collected, manufacturing operations can shift from reactive problem-solving to proactive analysis and operational improvements. The tremendous increase in interest and investment in AI for manufacturing automation only became possible with the availability of low-cost sensors that generate huge volumes of data and solutions for storing and processing that at low cost. AI and other leading-edge technologies transform the tedious but critical process of extracting insights from data, making it instantaneous, streamlined and achievable for every manufacturer. The maturity of smart manufacturing hinges on the extent to which a factory is data-driven. This requires foundational investments to improve traceability, connectivity and real-time operations – and finally making sure that data helps us what to do and when to do it. Ricco WALTER is managing director of SYSTEMA Automation in Singapore.
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