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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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While Artificial Intelligence (AI) emerged in the 1950s, only in recent years have AI applications proliferated with the explosion of data and continuing improvements in Moore’s law that have driven rising processing speeds. Voice assistants, image analysis software, search engines, and speech and facial recognition systems were among the first applications to use AI. Today, adoption has spread to sectors such as agriculture, cybersecurity, healthcare, software development, e-government and the intelligent enterprise to generate jobs and help spur economic growth. The Edge AI Opportunity and the Microelectronics IndustryAI can be embedded in hardware devices such as advanced robots, autonomous cars, drones or Internet of Things (IoT) applications. Today, according to the EU’s digital strategy, data centres and other centralized computing facilities account for the vast majority – 80% – of AI data processing and analysis, with smart connected objects such as automobiles, home appliances and manufacturing robots that bring the compute function closer to the user representing 20%. The latter, known as Edge AI applications, are powered by edge-based machine learning chipsets, not the AI chipsets designed to run cloud-based machine learning algorithms.The EU’s white paper on AI published in February 2020 anticipates that the way data are stored and processed for AI applications will change significantly over the coming five years as edge computing applications proliferate. Most AI applications need to connect with devices that collect data and manage data flows. When the applications connect with cloud infrastructures to train large volumes of data for a machine learning model, the interface devices often require hardware support. Edge AI can minimize data transport by processing data directly from local devices to accelerate data analysis and decision-making and make data transport or accelerator hardware unnecessary, critical in reducing power consumption and enhancing data security for applications such as autonomous driving. Over the past 40 years, the ICT sector has been continuously increasing greenhouse gas (GHG) emissions despite efforts to shift to renewable energy. Cloud-based AI applications require an ICT infrastructure for high-performance computing and high-speed connectivity. According to MIT Technology Review, data centres’ AI workloads could account for a tenth of the world’s electricity usage by 2025. a mass update of cloud-based AI applications may significantly increase energy consumption, unlike with Edge AI. This is why the strategy for developing Edge AI is well-aligned with the EU’s Green Deal objectives. Europe aspires to play a leadership role in Edge AI to strengthen the sector’s competitiveness and protect the European digital sovereignty. Europe’s strong industrial competencies in embedded systems and microcontrollers will help the region promote development of European domestic AI solutions for emerging high-value IoT applications in industrial processes such as Industry 4.0, Connected and Automated driving (CSA), smart cities, climate action, healthcare, and national defence and security. With this strong strategic position in technology, Europe is well-positioned to invest to become the leader in the Edge AI global market.Preparing the Workforce for the Microelectronics IndustryTo design and manufacture leading Edge AI chipsets, European education providers and industry will need to work closely together to train the current and future workforces. Within the framework of the METIS project, a four-year project co-funded by the European Commission through the Erasmus+ programme, SEMI and imec deployed experts in the field to survey and interview focus groups. The survey identified the following key focus areas for workforce development: 1. True Capability of AI and Data Science With AI’s heavy dependence on data, the workforce of the future must be trained in areas of data science including data integrity to ensure quality, unbiased sourcing, collection and accurate analysis necessary to interpret huge volumes of data. Europe also needs to train the next generation of AI chip designers in data security and privacy – key challenges to the widespread deployment of Edge AI chips. 2. Climate Change, Sustainable Development Goals (SDGs) and Social Inclusion TrainingSince the industry must be able to develop Edge AI solutions to enable the digital transformation while limiting GHG emissions, microelectronics engineers need to be schooled in climate change and understand how their work contributes to meeting the United Nation’s Sustainable Development Goals (SDGs). Workplace diversity and social inclusion are also important target areas for education since Edge AI applications should serve various groups of people with different needs.3. EthicsChip industry workers must also be educated in ethical issues of AI related to the technology’s potential societal impact in the near future[1]. With AI applications capable of monitoring Internet searches based on users’ personal preferences and biases to deliver tailored advertising, news and other information, developers must recognize how the technology can influence thinking and behaviour of individuals and groups. This awareness can help developers strike a balance between supporting commercial interests and societal good so the microelectronics industry can ensure ethical implementation of AI. 4. Cross-disciplinary Skills Required for AIAI development requires a comprehensive, cross-disciplinary skill-set to be able to integrate the work of specialists from diverse educational, cultural and professional backgrounds critical to developing non-biased AI solutions. For example, in addition to technical expertise, microelectronics AI developers must be able to communicate clearly and work in close-knit teams with non-technical experts from business, law, medicine and the social sciences.What’s Next?The microelectronics industry has a tremendous opportunity to develop new chip-based solutions for AI architectures, and apply AI techniques to improve operational efficiencies of design and manufacturing. To seize this opportunity, the industry must work closely with education providers to groom the next generation of skilled workers. This tight collaboration is critical to designing and delivering specialised courses to college and university students as well as engineers now working in the chip sector. The stakes are high. By preparing workers to develop Edge AI chipsets, the microelectronics industry can help the world confront some of the greatest challenges it faces today.For more information, see SEMI Responds to European Commission White Paper on Artificial Intelligence.METIS is a Sector Skills Alliance project co-funded by the European Commission’s Erasmus+ Program and coordinated by SEMI. The four year project, launched in November 2019, will develop a Microelectronics Skills Strategy. Based on the strategy, the METIS project will design 43 training modules for 1,100 hours learning in four key areas of the microelectronics sector.We thank Patrick Blouet (STMicroelectronics) and Jeroen Geusens (imec) for their valuable contributions to this article.[1] Ethics of Artificial Intelligence and Robotics, Stanford Encyclopedia of PhilosophyDr. Yanying Li is senior manager of Collaborative Projects at SEMI Europe.Dr. Pushkar P. Apte is the strategic technology advisor for the Smart Data AI Initiative at SEMI
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John Smee, VP Engineering, Qualcomm Technologies Inc., will share insights on 5G – which is evolving to enable more reliable connectivity with higher performance in and beyond the era of Internet of Things (IoT) – in his keynote at MEMS Sensors Executive Congress, October 22-24, 2019, in Coronado, Calif.SEMI’s Maria Vetrano caught up with John to give MSEC attendees a preview of his talk.SEMI: Why should MEMS and sensors suppliers stand up and take note of the evolution in 5G, particularly 5G NR?Smee: 5G is the unifying fabric that will connect virtually everything around us. 5G New Radio (NR) is the global standard for a unified, more capable 5G wireless air interface. It will deliver significantly faster and more responsive mobile broadband experiences to users. It will also extend mobile technology to connect and redefine a multitude of new industries, including the IoT.As tens of millions of MEMS and sensors are the core components providing intelligence and interactivity to IoT devices, suppliers need to understand the capabilities and efficiencies that 5G will bring to connect the wide range of MEMS and sensors.We should also recognize that we are at the beginning of the 5G era, and 5G technologies will continue to evolve and expand in the coming years to connect new types of devices in increasingly efficient ways.SEMI: What’s special about the upcoming release of 5G NR, 3GPP Rel-16?Smee: While the first 5G NR release, 3GPP Rel-15, focused primarily on enhanced mobile broadband (eMBB), it also established a solid technology foundation for continued evolution in Rel-16 and beyond.With Rel-16, we are seeing 5G NR’s expansion beyond eMBB to address new tiers of IoT services such as industrial IoT (e.g., automation) with ultra-reliable, low-latency communication (URLLC) and cellular vehicle-to-everything (C-V2X) for more advanced use cases, such as autonomous driving. MEMS and sensors are critically important to both types of use cases as they collect the raw information of the physical world, and 5G is the connectivity of these sensors to the network. This makes the technologies inextricably linked.MEMS and sensors are equally integral to the development of more efficient low-complexity massive IoT devices (MIoT) with in-band 5G NR deployments of enhanced machine-type communication (eMTC)/narrowband Internet of Things (NB-IoT) and the use of the new 5G Core Network. In practical terms, devices that enable smart city use cases – such as smart utility monitoring, connected parking meters, and smart street lighting solutions that support 3GPP Rel-16 – are MIoT devices that will delight city administrators and dwellers with their improved coverage and efficiency. SEMI: In addition to low-complexity MIoT devices, what other markets will benefit most from the evolution in 5G NR?Smee: We continue to enhance 5G NR to support the high-performance IoT, including URLLC.URLLC is one of the many new 5G capabilities that wasn’t possible with the previous generation of cellular technologies, such as LTE. Because it delivers services at very high reliability (i.e., 99.9999%) and ultra-low latency (i.e., sub-1ms), URLLC literally opens up new use cases that that only wired communication could serve in the past. Industrial IoT applications that require a mix of high reliability and low latency, such as robotic arm command and control, are foremost among these new URLLC use cases.Another example of IoT taking advantage of URLLC is smart grid, where faults in the electricity distribution network require immediate protection and control to ensure safety and avoid equipment damage.SEMI: How is Qualcomm building on the eMTC/NB-IoT for low-power wide-area IoT (LPWA) – and how will this influence IoT connectivity?Smee: We continue to evolve eMTC/NB-IoT beyond its initial 3GPP release in Rel-13, making these foundational LPWA IoT technologies more capable and efficient as they become the basis for 5G massive IoT.The most significant updates to eMTC/NB-IoT include multi-cast and positioning support in Rel-14 and improved spectral/power efficiencies in Rel-15. Multi-cast can help service providers to deliver firmware updates over the air with greater efficiency, which speeds deployment of new features. Positioning can create new values, which can inform end users where their assets/packages are located, potentially safeguarding assets in transit. Improving spectral/power efficiencies offers more power-efficient transmissions, which takes less toll on battery-operated devices.With Rel-16, we have further optimized eMTC/NB-IoT, which is supported by the new 5G Core Network and is also deployable in 5G spectrum in-band with other 5G NR services.The evolutionary path ahead for eMTC/NB-IoT enables support for an even wider range of 5G massive IoT devices. New enhancements in the pipeline, such as grant-free uplink and multi-hop mesh, will boost efficiency and coverage area that much more.SEMI: Where do mobile broadband devices such as ultra-high-definition (UHD) security cameras fall within Qualcomm’s realization of 5G-NR?Smee: Mobile broadband is at the core of 5G NR. We see it both powering the new generation of 5G smartphones and expanding beyond traditional devices (including always-connected PCs and tablets) to address the needs of high-performance IoT devices such as UHD security cameras.It’s actually an important part of our vision for 5G to have an industrial network that requires all types of 5G connectivity for devices spanning eMBB (e.g., cameras, laptops), URLLC (e.g., machines) and MIoT (e.g., sensors).SEMI: What can the MEMS and sensors industry do to prepare for the 5G wave?Smee: Because 5G can evolve to deliver even better performance and efficiency for connecting sensors in the 5G world, we will see even more widespread adoption of MEMS and sensors into larger numbers of connected applications. MEMS and sensors suppliers, therefore, need to get ready for the 5G wave by preparing to support 5G connectivity in their devices, which will ultimately help to realize the 5G vision of connecting virtually everything in the world around us.John Smee, Ph.D., is vice president of engineering at Qualcomm Technologies Inc., where he is the 5G R D lead responsible for overseeing all 5G research projects, including end-end systems design and advanced RF/HW/SW prototype implementations in Qualcomm’s wireless research and development group. He joined Qualcomm in 2000, holds over 100 U.S. Patents, and has been involved in the design, innovation, and productization of wireless communications systems such as 5G NR, 4G LTE, 3G CDMA, and IEEE 802.11. He also leads Qualcomm’s companywide academic collaboration program across technologies including wireless, semiconductor, multimedia, security and machine learning. John was chosen to participate in the National Academy of Engineering Frontiers of Engineering program and received his Ph.D. in electrical engineering from Princeton University and also holds an M.A. from Princeton and an M.Sc. and B.Sc. from Queen’s University.Smee will present Evolving 5G NR to Connect the Internet of Things on Wednesday, October 23, 2019, at MEMS Sensors Executive Congress, Coronado Island Marriott Resort Spa in Coronado, Calif.Register today to learn how 5G NR will transform the user experience with MEMS- and sensors-enabled devices in IoT, automation and beyond.Interested in engaging with the MEMS and sensors supply chain? MEMS Sensors Industry Group is a SEMI technology community that enables the MEMS and sensors industry to innovate, address common challenges and accelerate business results.Maria Vetrano is a public relations consultant for SEMI.
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Why Is Smart Parking a Hot Topic? Poorly managed parking resources have a substantial negative impact on cities — one that has been well-documented. According to industry studies, poorly managed parking: Increases Traffic Congestion: 30% of traffic is caused by ongoing circling for parking. Increases Pollution: In Westwood, California, cruising for parking burned 47,000 gallons of gas and generated 730 tons of carbon dioxide in one year. Frustrates Drivers: Urban drivers spend an average of 20 minutes per trip looking for parking. Stifles Economic Opportunities: Traffic congestion cost Americans $124 billion in 2013, and this is predicted to rise to $186 billion by 2030. These problems are getting worse. As a result of growing urban populations, cities account for more than 80% of carbon emissions globally. Unplanned or inadequately managed urban expansion leads to rapid sprawl, pollution and environmental degradation. Due to the lack of parking-space availability, for example, Japan is ranked among the most expensive countries for paid parking. If left unaddressed, poor parking management will continue to plague cities, both large and small. Fortunately, Smart City Internet of Things (IoT) initiatives are helping cities to address their parking issues. IoT to the RescueThere are three key drivers of Smart City IoT initiatives. Cities want to: Improve the overall quality of life and mobility in urban environments Leverage technology to augment and improve existing infrastructure and services that citizens rely on every day Foster both economic and environmental improvements The availability of high-accuracy vehicle detection sensors coupled with affordable, low-power connectivity has enabled a new generation of Smart Parking technology. However, choosing the right Smart Parking solution is essential.High-accuracy vehicle detection sensors can provide valuable data to city planners and parking managers. This information includes: Parking availability Traffic flow Parking occupancy rate and historical data Turnover For parking management to effect change, city traffic managers, parking managers and urban planners need a holistic view of parking availability and usage patterns, and users need real-time information about available parking spaces.Sensors, cameras and communication networks form the basic infrastructure for Smart Parking. To deliver on the promise of IoT and to help cities improve the overall quality of life for residents and visitors, cities need a complete smart parking solution that provides: Accurate real-time vehicle detection and location of available parking spaces – significantly reduces the amount of time spent cruising for parking spaces, giving drivers the precise location of available spaces Connectivity from the sensor to the cloud – facilitates real-time parking data that city planners, parking enforcement and traffic managers can use to reduce traffic congestion Parking applications for cities, parking-lot owners and drivers — enables navigation to available parking and supports mobile payment, streamlining the parking process. Parking applications can also direct traffic enforcement personnel to parking violations as they occur, helping to alleviate traffic bottlenecks, such as double parking in loading zones. Such applications also improve the efficiency of other city services such as public transportation and garbage collection. Complete Smart Parking Solution – Sensor to Cloud (Source: PNI Sensor) To learn how cities are using Smart Parking sensors to improve the services they offer to residents and visitors, come see PNI at SEMI’s 2019 FLEX Japan MEMS Sensors Forum (May 22-23, Toyko, Japan). PNI President and CEO Becky Oh and PNI’s partner, Macnica Networks, will share Smart Parking use cases from innovative cities, corporate campuses and universities (Smart Parking presentation, May 22 from 16:55-17:25). Register for the conference today. For more information about PNI Sensor, visit the PNI Sensor website. Becky Oh is the president and CEO of PNI Sensor. Throughout her 20 years with the company, Ms. Oh has held a range of senior-level positions, from operations to technical business development. She received an M.S. degree in Electrical Engineering from Cornell University and a B.S. in Electrical Engineering and Computer Science from MIT. Ms. Oh holds multiple patents in the area of devices with multi-sensing and reporting capabilities.
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