DRAM

The global semiconductor industry is on track to register a rare three consecutive years of record highs in fab equipment spending with a 16% increase in 2020 followed by forecast gains of 15.5% this year and 12% in 2022, SEMI highlighted in its quarterly World Fab Forecast report.

Back in 2012, China ranked fifth among seven regions worldwide in IC wafer capacity but surged past the Americas and Japan in 2018 and 2019 to claim the number three position (figure 1). That’s a big deal given that ICs account for the largest share of wafer capacity excluding discrete, opto, MEMS and sensors.China’s IC wafer capacity growth accelerated to tune of 14% in 2019 and 21% in 2020 and is expected to grow at least 17% this year, as we report in the latest update of the World Fab Forecast, published December 3rd by SEMI. Of all regions, Taiwan boasts the second strongest growth rate over the same period at 3% to 4%.Figure 1: Total IC installed wafer capacity for top five regions The report shows that from 2019 through the end of 2021 China will have increased wafer capacity for memory by 95%, foundry by 47% and analog by 29%. Foundry will represent the largest portion of those gains, reaching 2 million wpm (200mm equivalents). Memory will follow at about 1.5 million wpm and then analog at over 120,000 wpm.But Chinese companies aren’t pulling off this feat singlehandedly. Many international companies are contributing to the wafer capacity increases in China (figure 2). Figure 2: IC wafer capacity in China by company origin The share of capacity contributed by Chinese-owned companies and international companies has changed little since 2012, though Chinese-owned companies saw a slight dip in their slice of the pie from 60% to 57%From 2019 through 2021, Chinese-owned companies will add almost 60% capacity for foundries, the most of all sectors. Companies including SMIC, Hua Hong Semiconductor, Nexchip, XMC and Hua Li Microelectronics are driving the increases.During the same period, Chinese-owned companies will ramp up memory capacity from basically zero to 300,000 wpm. Companies such as Yangtze Memory Technology and ChangXin Memory Technologies (CXMT), also known as Innotron, are powering the quick rise with aggressive ramps of 3D NAND and DRAM capacity.Among international-owned companies, TSMC and UMC are driving the largest share of foundry growth, while Samsung, SK Hynix and Intel are powering gains in memory capacity.More information is available in the World Fab Forecast report. The report currently collects information for fab equipment and construction investment, capacities, technologies and product types for over 280 fabs and lines in China alone, including 40 facilities that either began operation in 2020 or will from 2021 through 2024.Christian G. Dieseldorff is senior principal analyst in the Industry Research and Analysis group at SEMI in Milpitas, California.

In the long unfolding arc of technology innovation, artificial intelligence (AI) looms immense. In its quest to mimic human behavior, the technology touches energy, agriculture, manufacturing, logistics, healthcare, construction, transportation and nearly every other imaginable industry – a defining role that promises to fast track the fourth Industrial Revolution. And if the industry oracles have it right, AI growth will be nothing shy of explosive.“The gains these days are not incremental,” said Ajit Manocha, SEMI president and CEO, said to a gathering in July of the Chinese American Semiconductor Professional Association (CASPA) for its Summer Symposium at SEMI’s headquarters in Milpitas. “They are hockey stick – exponential – with AI semiconductors growing in market size from $4 billion this year to $70 billion in 2025.”Manocha left little doubt that AI is remaking the semiconductor industry and, in the process, the world at large. Internet of Things (IoT) and 4G/5G, both key AI enablers, will account for more than 75 percent of device connections by 2025.“Today, 30 billion devices worldwide are connected,” Manocha said, citing an Applied Materials prediction that the number of connected devices globally will grow to between 500 billion and 1 trillion by 2030. Those devices will generate stunning amounts of data collected, interpreted and used to reason, solve problems, learn and plan, leading to the holy grail of autonomous machine behavior.To process this colossal amount of data central to the promise of AI, the industry must break through the limits of a key technology: memory. Memory a Critical AI BottleneckThe challenge for memory starts with performance. Historically, every decade gains in compute performance have outpaced improvements in memory speed by 100 times, and over the past 20 years that gap has grown, said Steven Woo, a fellow and distinguished inventor at Rambus, presenting at the symposium. The upshot is that memory has bottlenecked compute and, in turn, AI performance. The industry has responded with new ways to implement memory systems on AI chips. Each is suited to unique performance requirements and, of course, comes with trade-offs. Among the frontrunners: On-chip memory delivers the highest bandwidth and power efficiency but is limited in capacity. HBM (High Bandwidth Memory) offers both very high memory bandwidth and density. GDDR balances trade-offs among bandwidth, power efficiency, cost and reliability. Since 2012, AI training capability has grown 300,000 times, besting Moore’s law by 25,000 times in doubling every 3.5 months, a blistering pace compared to the 18-month doubling cycle of Moore’s law, Woo said. The staggering improvements have been driven by parallel computing capacity and new application-specific silicon like Google’s Tensor Processing Unit (TPU).These specialized silicon architectures and parallel engines are key to sustaining future gains in compute performance and combatting the slowing of Moore’s Law and the end of power scaling, Woo said. By rethinking the way processors are architected for certain markets, chipmakers can develop dedicated hardware capable of operating with 100 to 1,000 times greater energy efficiency than general purpose processors to overcome another big limiter to scaling compute performance – power.For its part, the memory industry can improve performance by signaling at higher data rates and using stacked architectures like HBM for greater power efficiency and performance, and by bringing compute closer to the data.Memory scaling for AIA key challenge is scaling memory for AI. Demand for better voice, gesture and facial recognition experiences and more immersive virtual reality and augmented reality interactions is tremendous, said Bill En, senior director at AMD, speaking at the symposium. These capabilities require more processing power across both high-performance computing (HPC) for big data analytics and machine learning as it relies on AI and machine intelligence to generate meaningful insights. Emerging machine learning applications include classification and security, medicine, advanced driver assistance, human-aided design, real-time analytics and industrial automation. And with 75 billion IoT-connected devices – all generating data – expected by 2025, there will be no shortage of data to analyze, En said. The wings alone of a new Airbus A380-1000 feature some 10,000 sensors.Mountains of this data are stored in massive data centers on magnetic hard drives, then transferred to DRAM before moving to SRAM within the CPU for the handoff to the compute hardware for analysis.With data growing at an exponential clip, the question is how to make sure all other memory systems can handle the flood of data. AMD’s answer is a chiplet architecture featuring eight smaller chips around the edge that drive the compute and a large chip in the center that doubles the IO interface and memory capability to in turn double chip bandwidth.AMD has also moved from a legacy GDDR5 memory chip configuration to HBM to bring memory bandwidth closer to the GPU for more efficient processing of AI applications. The HBM provides much higher bandwidth while reducing power consumption. Compared to DRAM, AMD’s HBM delivers a much faster data rate and far greater memory density, En said.Over the next decade, look for more performance improvements from multi-chip architectures, innovations in memory technology and integration, aggressive 3D stacking and streamlined system-level interconnects, he said. The industry will also continue to drive performance gains in devices, compute density and power through technology scaling.Michael Hall is a global marketing communications manager at SEMI.

The more than 53,000 people who flocked to SEMICON Korea last month were treated to a motherlode of insight into the future of the semiconductor industry as 470 companies exhibited innovative technologies in more than 2,000 booths. But the annual event’s most arresting numbers came in keynotes and other presentations pointing to the extraordinary industry growth that lies ahead.“It is no exaggeration to say that 90 percent of the world’s data has been generated in the last few years,” said Jim Feldhan, president of Semico Research. “This explosive growth of data is expected to continue. That's why server shipments will grow by 20.3 percent, or 30 million units, this year alone.”Feldhan said that the Internet of Things (IoT) will be a chief driver of semiconductor industry growth, with IoT expected to be applied in areas as varied as automotive, smart cities, edge computers, finance, architecture, agriculture and healthcare. For its part, artificial intelligence (AI) will start to exercise human-like judgment. Feldhan noted that in many instances in these fields, “it is more accurate to apply AI and vision systems than to rely on traditional decision-making.”Yoon Jong Lee, senior vice president of DB HiTek, predicted that the Internet, AI and 5G will drive market growth. “Looking back over the past 30 years, semiconductor market growth was powered by PCs, the Internet and cell phones, yet last year memory accounted for 35 percent of total semiconductor sales, more than double the figure in 2016,” he said. He predicted that, in 2019, the foundry sector will outstrip the semiconductor market in growth, noting that the average growth rate of the semiconductor industry is expected to be 4.1 percent, compared to 7.1 percent for the foundry market. Clark Tseng, director of SEMI, reported that the strong semiconductor growth in 2018 is unlikely to continue in 2019 due to the decline in memory pricing, as well as mobile and PC demand. “Demand for semiconductors is likely to decline in the first half as the industry is still digesting inventory and rebound in the second,” Tseng said. Semiconductor industry growth headwinds include decreases in high-end smartphone purchases, PC demand and demand for DRAMs for servers in data centers, Tseng said. Declines in economic growth and consumption in China and the U.S.-China trade war will also contribute to a slowdown. However, Tseng noted that, over the long term, technology innovation will continue and that the semiconductor industry’s prospects remain bright.One key innovation will be the elimination of AI’s reliance on Internet connections in the future. In his opening day keynote, Eunsoo Shim, senior vice president at Samsung Electronics, emphasized that AI technology that operates without the Internet in the future is essential. “We are developing 'on-device AI' technology that incorporates AI algorithms in products such as smartphones and autonomous vehicles,” he said. "When on-device AI technology is implemented, it reduces reliance on the Internet, battery consumption, and data latency.” Reducing latency will significantly improve device response time.Walden C. Rhines, CEO Emeritus of Mentor, a Siemens business, predicted that AI will fuel rapid memory growth. The memory semiconductor (DRAM, NAND flash) market is expected to see a temporary slowdown this year, with the market expected to rebound in 2020. Rhines said that memory could be seen as an early market with rapid future growth, citing memory market super-booms in 1995 and 2000.“Memory production has not decreased since 1995 or 2000,” he said. “Although memory prices will temporarily fall this year after significant market growth in 2017 to 2018, the market will continue to grow as memory production increases,” he said. Rhines added that “although memory prices will drop by about 10 percent this year, he believes prices will increase 6 percent next year.” He also predicted the steady growth of the non-memory semiconductor market as AI technology matures and China’s investment in fabless companies continues.Indeed, SEMICON Korea speakers made it clear that concerns about the growth of the semiconductor industry are expected to be short-lived. While overall growth is likely to slow in 2019, the industry is expected to rebound steadily – powered by the semiconductor industry paradigm shift led by AI, IOT, and autonomous driving – and reach a new high of nearly $541 billion in 2020.Jaegwan Shim is a marketing specialist at SEMI Korea.

This year, SEMI ISS covered it all – from a high-level semiconductor market and global geopolitical overview down to the neuro morphic and quantum level. Here are key takeaways from the Day 1 keynote and Economic Trends and Market Perspectives presentations.In the opening keynote, Anne Kelleher from Intel pointed to the huge growth of data, with fabs collecting more than 5 billion sensor data points each day. The challenge, Kelleher noted, is to turn massive amounts of data into valuable information. Moore’s law is not dead. New models of computing benefit still from Moore’s law and advances in Si/CMOS technologies for conventional, deep learning, neuro morphic and quantum computing.With customers expecting continual improvements in applications, the question is whether the chip industry is moving fast enough to meet these expectations, Kelleher said. A broad supply chain, equipment and materials innovations, and attracting the “best of the best” college graduates to fuel innovation is key, she said.In the economic trends session, Nicholas Burns (ambassador ret.) from Harvard University pointed out that we will see a major shift in power. The U.S. will remain the major world power over the next 10 years, but we will see a major shift in power in the next coming decades as the gap with countries like China, Russia and India continues to narrow.Duncan Meldrum from Hilltop Economics said that we are passing the peak growth of economic cycle. He warns that a more likely outlook is that a global growth recession is developing. Although semiconductor MSI growth will see a noticeable slowdown in 2019 and 2020, the semiconductor industry is still healthy over the longer term.Bob Johnson from Gartner sees demand shifting from consumer to commercial applications with higher ROIs and budgets. AI, IoT and 5D are the major enablers. He sees structural changes in the semiconductor industry especially for memory but also for Moore’s law with increasing costs and fewer players.The DRAM markets shows volatility and NAND market may be negative in 2019 but non-memory are expected to accelerate mainly because of increasing content and some price hikes.Overall Gartner expects good long-term growth with a CAGR (2017 to 2022) of 5.1%, outpacing 2011 to 2016 CAGR of 2.6%. After a strong 2018 with 13.4% revenue, he forecasts a slower 2019 with 2.6% growth followed by a 8% growth in 2020 and negative growth rate in 2021.Andrea Lati of VLSI went “Back to fundamentals” in his presentation about the industry. VLSI sees a downside bias due to slowing global economy, tariffs, and trade wars. Future drivers are data economy, cloud, AI and automotive.As memory leads the 2019 slowdown, analog, power, logic and other sectors remain in positive territory. VLSI lowered its semiconductor equipment forecast for 2018 from 20% (Jan. 2018) to 14% (Dec. 2018) but increased its sales outlook from 8% to 15% in 2018. VLSI expects revenue to slow into the first half of 2019 but increase to over 4% in the second half of the year, resulting in total 2019 drop of 2.7%. Semiconductor equipment sales are expected to drop from 14% in 2018 to -10% in 2019.Michael Corbett of Linz Consulting, covering wafer fab materials in the years of 3D scaling, sees these as good times for the industry. His outlook for wafer fab materials is bullish based on strong MSI and because wafer fab materials suppliers are getting bigger because of M As.In the Market Perspective session, Sujeet Chand of Rockwell Automation pointed out that as more and more data is generated, the problem is how to get value of all the data collected. There is a need to create the right architecture for machine learning and AI and big data is increasingly being replaced by contextual/structured data. He expects Industry 4.0 to drive foundries to become smaller, more flexible and more productive.In the Technology and Manufacturing session, Aki Sekiguchi of TEL addressed process challenges in the age of co-optimization. The semiconductor industry continues to expand, driven by massive growth of interconnected devices, with heavy demand for processing power and storage. He expects an exponential increase of data from about 40ZB in 2018 to 50ZB in 2020 to 163 ZB in 2026.Major technologies such as DRAM, 3D NAND and logic are dealing with scaling challenges. The density of DRAM (Mb/chip) is plateauing according to 2015 to 2020 trend data, with DRAM is in need of EUV. Memory capacity demand is leading to increasing layers and higher aspect ratios that is concern for 3D NAND and mainly for plasma etch. With Logic already implementing 3D structures, it appears to be in a solid position. Buddy Nicoson of Micron talked about his 50 years in the industry and looked ahead to the next 50. The anchors – quality, cost, scale and speed – won’t change. It has been a great journey so far with unprecedented opportunities and challenges ahead of us. We are getting into a convergence (specialization, integration) and solution-based phase. We will see some inflection points in the coming years, with the best yet to come.Christian G. Dieseldorff is senior principal analyst in the Industry Research and Analysis group at SEMI in Milpitas, California.

Part 1 of this article discussed the Memory Inventory Cycle Index and compared it with memory device sales and memory fab equipment investments. This article, the second of the two-part series, illustrates how the Memory Inventory Cycle Index starts to weaken before memory sales of the top three memory suppliers decline. It also shows how the Memory Inventory Cycle Index peaked in the fourth quarter of last year along with YoY growth rates for both memory sales and memory fab equipment investments.In addition to the weakening signaled by the Memory Inventory Cycle Index, memory suppliers are facing headwinds in the form of tariffs as mentioned in Micron’s most recent earnings call. The U.S.-China trade dispute could reduce Micron’s profitability; China granted a preliminary injunction to prevent Micron’s Chinese subsidiary from manufacturing and selling in China this July. However, it is very difficult to quantify the risk the tariffs pose to the future of the memory market.On the other hand, the YoY growth rate of semiconductor sales according to the World Semiconductor Trade Statistics is closely tied to China’s manufacturing sector as shown by the Purchasing Managers Index (PMI) New export orders and Orders in hand sub-indexes. Figure 3 shows that as the growth rate of new exports and order backlog slows, the YoY growth rate of semiconductor sales will be adversely impacted. As the largest consumer of semiconductors in the world, China will bear the brunt of the slowing market. Figure 3. Memory Inventory Cycle Index China manufacturing sector PMI’s sub-indices * RemarksChina PMI’s sub-indices are on the basis of the data published by NBS (National Bureau of Satistics of China). Also those data were calculated based on 12MMA (12-month moving average) to minimize seasonal fluctuation. The YoY growth rate of the 3-month moving average of semiconductor sales in China alone, China and Asia Pacific, and all regions showed additional declines in July (Figure 4). Monitoring the Orders in hand and New export orders sub-indices for China and China’s semiconductor consumption and WSTS sales revenue in China can help track the risk of trade disputes. Figure 4. YoY growth rate of semiconductor sales revenue in China and Asia Pacific * Remarks1) Regions as defined by WSTS’ Bluebook.2) Sales revenue were calculated based on 3MMA (3-month moving average value). A review of the relationship between the Memory Inventory Cycle Index, semiconductor sales, and memory fab equipment investment growth rates suggests we have passed the peak in the current cycle. However, bear in mind that the Work In Process (WIP) to Finished-goods inventory ratio has sharply increased since 2017 as shown in Figure 5. The increase in WIP inventory could be attributed to the increasing technical challenges associated with 3D NAND stacking and DRAM scaling. As a result, the proportion of finished-goods inventory in total inventory remained low until the second quarter of 2018, possibly implying that memory demand remained healthy in spite of the contraction modeled by the Memory Inventory Cycle Index. Figure 5. The proportion of finished-goods inventory in the total inventories * Remarks 1) All inventories data from 3 companies’ financial reports were calculated based on 4-quarter moving average.2) Total Inventory accounts for the sum of Finished-Goods, WIP, and Raw materials inventory.3) Company data complied by SEMI. The Memory Inventory Cycle Index has entered a period of contraction, which is supported by Micron’s weak guidance for its fiscal first quarter of 2019 (September to November). The outlook for memory sales and memory fab equipment investments reported by WSTS and SEMI, respectively, also suggests that a market correction is underway. While the low proportion of finished-goods inventory does not threaten the market yet, it should remind industry observers to view high WIP inventories with caution. Unlike past inventory cycles, the high inventory levels could burden the memory market in the absence of sustainable demand.Sungho Yoon is a senior market research analyst in Industry Research and Statistics at SEMI. SEMI China IC Ecosystem ReportLearn more about 30 new fab construction projects underway or planned in China in the newly released SEMI China IC Ecosystem Report. The research report is a comprehensive update and analysis of China's IC manufacturing ecosystem with charts, graphs, tables and maps.

Even for someone who has been in this industry since the days of the TI Datamath 4-function calculator and the TMS1100 4-bit microcontroller (yes, that’s been a LONG time – the movie Grease premiered the same year!), it is sometimes hard to grasp the scope and complexity of what happens in today’s leading-edge semiconductor gigafabs. In fact, the only way to comprehend the enormous volume of transactions that occur is to consider what happens in a single minute – this is illustrated in the infographic we have labeled “The Gigafab Minute.”* It’s amazing enough to think that a single factory can start 100,000 wafers every month on their cyclical journey through 1500 process steps… and have 99%+ of them emerge 4 months later to be delivered to packaging houses and then on to waiting customers. It’s quite another to realize that all of this happens continuously (24 x 7) and automatically. “How is this possible?” you ask.Well, a big part of the solution is the body of SEMI standards which have evolved since the early 80s to keep pace with the ever-changing demands of the industry. From an automation standpoint, many of these standards deal with the communications between manufacturing equipment and the factory information and control systems that are essential for managing these complex, hyper-competitive global enterprises.A significant characteristic of these standards is that they have been carefully designed to be “additive.” This means that new generations of SEMI’s communications standards do not supplant or obsolete the previous generations, but rather provide new capabilities in an incremental fashion. To appreciate the importance of this in actual practice, consider how the GEM, GEM300, and EDA/Interface A standards support the transactions that occur in a single Gigafab Minute.Starting at 1:00 o’clock on the infographic and moving clockwise, you first notice that 2.31 wafers enter the line. Of course, these are actually released in 25-wafer 300mm FOUPs (Front-Opening Unified Pod), but 100K wafers per month translates to 2.31 per minute. Since these factories run continuously, once the line is full, it stays full. And with an average total cycle time of 4 months, this means that there are 400K wafers of WIP (work in process) in he factory at any given time. This number, and the total number of equipment (5000+), drive the rest of the calculations.GEM (Generic Equipment Model) – SEMI E30, etc.The GEM messaging standards were initially defined in the early 90s to support the factory scheduling and dispatching applications that decide what lots should go to what equipment, the automated material handling systems that deliver and pick-up material to/from the equipment accordingly, the recipe management systems that ensure each process step is executed properly, and the MES (Manufacturing Execution System) transactions that maintain the fidelity of the factory system’s “digital twin.”Every minute of every day, GEM messages support and chronicle the following activities: 240 process steps are completed (i.e., 240 25-wafer lots are processed), 300 recipes are downloaded along with a set of run-specific adjustable control parameters, and 600 FOUPs are moved from one place to another (equipment, stockers, under-track storage, etc.). For each of these activities, the factory’s MES is notified instantaneously.GEM300 – SEMI E40, E87, E90, E94, E157With the advent of 300mm manufacturing in the mid-to-late 90s, a global team of volunteer system engineers from the leading chip makers defined the GEM300 standards to support fully automated manufacturing operations. Starting at 5:00 o’clock on the infographic, the number of transactions per minute jumps almost 3 orders of magnitude, from the monitoring of 900 control jobs across 4000 process tools to the tracking of 360,000 individual recipe step change events. This level of event granularity is essential for the latest generation of FDC (Fault Detection and Classification) applications, because precise data framing is a key prerequisite for minimizing the false alarm rate while still preventing serious process excursions. In this context, more than 6000 recipe-, product- and chamber-specific fault models may be evaluated every minute.Simultaneously, the applications that monitor instantaneous throughput to prevent “productivity excursions” and identify systemic “wait time waste” situations depend on detailed intra-tool wafer movement events. In a fab with hundreds of multi-chamber, single-wafer processes, 75,000 or more of these events occur every minute. EDA (Equipment Data Acquisition) – SEMI E120, E125, E132, E134, E164, etc.Rounding out the SEMI standards in our example gigafab is the suite of EDA standards which complement the command and control functions of GEM/GEM300 with flexible, high-performance, model-based data collection. The EDA standards enable the on-demand collection of the volume and variety of “big data” required from the equipment to support the advanced analysis, machine learning, and other AI (Artificial Intelligence) applications that are becoming increasingly prevalent in leading semiconductor manufacturers. As EUV (Extreme Ultraviolet) lithography moves from pilot production to high-volume manufacturing at the 7nm process node and beyond, the litho process area will become a major source of process data by itself, generating 10 GB of data every minute. This is in addition to the 100 GB of data collected from other process areas. The End ResultThe final wedge (12:00 o’clock) in our infographic highlights the real objective – which is producing the millions of integrated circuits that fuel our global economy and provide the technologies that are an integral part of our modern way of life. Assuming a nominal die size of 50 square mm (typical of an 8 GB DRAM), the 2.31 wafers we started at 1:00 o’clock result in almost 3200 individual chips. But none of this would be possible without the pervasive factory automation technology we now take for granted. So, as you finish reading this posting on whatever device you happen to be using, take a micro-moment to acknowledge and thank the hundreds of standards volunteers whose insights and efforts made this a reality!You may not be responsible for running a gigafab anytime soon, but the SEMI standards used in this setting are no less applicable to any Smart Manufacturing environment. Give us a call if you’d like to know more about how these technologies can benefit your operations for many years to come.Alan Weber is Vice President, New Product Innovations, at Cimetrix Incorporated. Previously he served on the Board of Directors for eight years before joining the company as a full-time employee in 2011. Alan has been a part of the semiconductor and manufacturing automation industries for over 40 years. He holds bachelor’s and master’s degrees in Electrical Engineering from Rice University. For more information on SEMI Standards, please click here.

Micron, one of the top three memory semiconductor companies, reported solid results for the fourth quarter of fiscal 2018 (June to August) to extend a multi-quarter string of strong growth. However, the company’s mediocre guidance for the current quarter has raised concerns that memory demand will start to slow.To shed light on this super memory cycle, which began in the second half of 2016, this article examines correlations among the top three memory suppliers’ sales revenue, quarterly inventory levels, World Semiconductor Trade Statistics (WSTS) market data, and memory fab equipment investments reported by SEMI.The Memory Inventory Cycle Index, which is based on financial data reported by Samsung, SK Hynix and Micron, is the difference between the year-over-year growth rates of sales (or shipments) and inventories. The index explains business cycle fluctuations such as expansions and contractions, trending up in expansions and declining in contractions. Figure 1 shows both historical Micron sales (blue dotted line) and the quarterly Memory Inventory Cycle Index (black solid line). To minimize seasonal fluctuations, both were calculated based on a four-quarter moving average of sales and inventories. Figure 1. Memory Inventory Cycle Index Compared to Memory Sales* Remarks1) Memory Inventory Cycle Index = YoY growth rate of memory sales revenues - YoY growth rate of memory total inventoris value on a four quarters moving average.2) Calculated memory sales and inventoris are based on Samsung, SK Hynix, and Micron public announcements.3) South Korea Won were converted to US$ based on the quaterly average value released by FRED.4) Companies’ sales data were calculated based on 4-quarter moving average.5) Company data complied by SEMI. As shown in Figure 1, the Memory Inventory Cycle Index has been declining since peaking in the fourth quarter of 2017, mirroring the previous two contractions – in 2010 and 2014 – in which memory sales slowed or stagnated after four quarters of the index decline. Accordingly, if this relationship holds between the Memory Inventory Cycle Index and sales, Micron’s sales will slow in the coming quarters and is consistent with Micron’s guidance for the current quarter. Moreover, the index suggests that the sum of three companies’ sales (the solid red line) will exhibit a similar trend of decreased growth in the coming quarters, which will impact the annual growth rate of global memory sales.WSTS recently increased its 2018 forecast for memory sales to 30.5%, up from 26.5% projected in June of this year. However, the 3-month moving average of memory sales shows that memory sales already increased by 48% YoY in the first half of the year, which means growth is expected to be lower in the second half of the year. Other signs pointing to a weaker end to the year include front-end equipment investments by the top three memory suppliers. SEMI is modeling an annual increase of only one percent for the year for these suppliers, with spending down 23% in the second half relative to the first half of the year.Figure 2 shows the historical trend of the Memory Inventory Cycle Index, the YoY growth rate of memory sales, and YoY memory fab equipment investments. The Memory Inventory Cycle Index increased faster than memory sales and fab equipment investments in the past two cycles. In the most recent memory cycle, these three indexes are moving in tandem, each peaking in the fourth quarter of 2017. Figure 2. Memory Inventory Cycle Index, Memory Sales and Memory Fab Equipment Investments* Remarks1) Both sales and memory fab equipment investments data were calculated based on 4-quarter moving average to minimize seasonal fluctuation.2) All data are from SEMI, except memory sales (WSTS) While overall memory sales continue to be strong this year, memory ASPs have shown signs of weakening right after the inventory index peak. NAND flash ASPs have been trending downward since the first quarter of 2018. With the recent inventory correction and short-term CPU shortage, DRAM ASPs are expected to soften in the fourth quarter of 2018. The looming memory market slowdown has memory makers adjusting their capacity expansion plans for the rest of this year. Some new capacity additions, especially for DRAM, have been pushed out to 2019. The memory inventory cycle index has to some extent foretold the slowdown of the memory market. In the second and final part of this article, we will discuss the correlation between the Memory Inventory Cycle Index and China’s semiconductor sales and Purchasing Managers Index. We will also look at the increasing level of memory inventory in the past few quarters and its composition including Work-in-Progress and Finished goods. Clark Tseng is director and Sungho Yoon is senior market research analyst in Industry Research and Statistics at SEMI. SEMI World Fab ForecastFor the latest worldwide memory fabs forecast including company details, please see the SEMI World Fab Forecast. The report includes quarter-to-quarter fab data from planning to production for both DRAM and NAND Flash companies.

Korea is on track to top all other regions in fab investment, spending $63 billion between 2017 and 2020, with powerhouses Samsung Electronics Co. and SK Hynix leading the way, according to latest World Fab Forecast Report by SEMI. Samsung Electronics increased fab investments $770 million to $12 billion this year, and SK Hynix upped its spending a significant $2.8 billion to $7.25 billion in 2018.Korea's investment companies anticipate continued growth for both companies in the second half of 2018.Under this halo of extraordinary investment, nearly 380 SEMI Korea members and industry analysts gathered for 2018 SEMI Korea Members Day on September 13 to share insights on semiconductor market trends and new technologies that could help members bolster their competitiveness. Following are key takeaways from the event. Korea semiconductor market to grow 16% in 2018That’s according to IDC Korea VP Kim Soo-kyung, who noted that data center, memory and Internet of Things (IoT) are becoming key growth drivers for the semiconductor industry. He encouraged semiconductor companies to closely track development of automotive technology and the industry semiconductor market, both key growth areas. SEMI Korea president H.D. Cho opens SEMI Korea Members Day 2018 Continuing fab investment will lead to oversupply, but display will shineMarket entry by Chinese companies will also spur the oversupply, said Jeong Won-Seok, an analyst at HI Investment Corp. He noted that the oversupply will force Korea into stiffer competition with other regions. However, with OLED used for a wide variety of devices and the display industry seeing rapid growth, the sector will remain ripe for growth among Korean companies.Interconnecting various applications is a big semiconductor industry trendThe need for these interconnections will stand out in the mobility and high-performance computing (HPC) markets, said Park Sung-Soon, principal research fellow at Amkor Technology Korea, who addressed trends in packaging technology. He also emphasized interconnection cost efficiency as key to maximizing competitiveness.Smart Manufacturing is driving mass customizationAs semiconductor industry growth continues, production methods are shifting from ‘mass production’ to ‘mass customization,’ increasing the importance of Smart Manufacturing in driving greater production efficiency, noted BISTel VP Jeon Kyeong-Sik. Building a Smart Manufacturing platform to support large-scale production of specialized database and artificial intelligence (AI) chips will boost production efficiency, reduce costs and improve risk management. Virtual simulation will be a key enabling technology. SEMI analyst Clark Tseng presenting at SEMI Korea Members Day 2018 Surge in data volume and technology advances to drive long-term semiconductor industry growthThese key industry drivers will continue to power fab investment growth, with spending focused on 3D NAND, DRAM, and foundry, said Clark Tseng, director of Industry Research and Statistics at SEMI. China alone will see eye-watering growth with the region’s investments in domestic companies surging 46% from 2018 to 2019 and fab investment by Chinese domestic companies outpacing spending by foreign companies in China, Tseng predicted. SEMI membership rises with industry growthCulminating the event, SEMI Korea president H.D. Cho said, "With the growth of the semiconductor market, the number of SEMI members is gradually increasing, and we will help member companies grow with various activities such as Korea Members Day.”Jaegwan Shim is a marketing specialist at SEMI Korea.

SEMI Releases latest update to World Fab Forecast with adjusted semiconductor revenue consensus for second-half 2018 and 2019 Global semiconductor revenue in 2018 is now expected to reach $473.8 billion and clock a growth rate of 15 percent, a significant upward revision from the 7.5 percent expansion (to $442.9 billion) forecast at the start of the year by six research and investment forecasts tracked by SEMI Industry Research and Statistics (SEMI IR S). Data center growth will remain robust in the coming quarters, fueling demand for memory devices. In addition, cloud computing will continue to spur strong CPU, GPU, networking, ASIC, and DRAM and NAND demand through 2019, driving a consensus 3.63 percent year-to-year growth to reach the semiconductor revenue of $491 billion in 2019. Fab equipment spending (new and used) for 2018 is expected to increase by 14 percent to a record high of $63 billion, according to the last data from the SEMI World Fab Forecast, published by SEMI IR S. For 2019, fab equipment spending (new and used) is expected to increase 8 percent to another record of just under $68 billion. Memory continues to be the biggest swing factor in fab spending in 2018 and is expected to lead growth into 2020. 3D NAND will see the most capacity added in 2018 and 2019 with growth of 41 percent in 2018 and 27 percent in 2019, according to the SEMI World Fab Forecast. DRAM investment will see even stronger growth in 2018 and 2019 driven by new capacity addition as well as the continued technology shrink towards 1y/1z nm. For the first half of 2018, global spending for semiconductor fab equipment continues its growth momentum from 2017. Though we expect some softness in the second half of 2018, the outlook for 2019 remains robust with a fourth consecutive year of growth – the first such run since the 1990s. This prolonged growth cycle has been propelled by memory and will be extended by significant investment in China in 2019. Although a potential slowdown in 2020 is a concern, the overall outlook for semiconductor demand remains solid due to broad-based growth trends in data center, artificial intelligence (AI)/machine learning (ML), automotive, and industrial segments. Following are other SEMI forecasts for fab spending. Installed Capacity 3D NAND will see the most capacity added in both 2018 and 2019 with growth of 41 percent in 2018 and 27 percent in 2019. Foundry capacity growth is steady at 3 percent in 2018 and 6 percent in 2019, driven by both leading-edge and trailing-edge capacity buildup. 200mm fab capacity will increase 4 percent in 2018 and 3 percent in 2019, fueled by demand for MCU, sensors, PMIC, MOSFET and Driver IC. New Facilities / Construction Spending In 2018, there are 72 construction projects with investments totaling $15 billion, a year-over-year increase of 23 percent. Construction spending will reach all-time highs with China continuing its lead at US$7 billion in 2018, shattering its own record of $6.3 billion investment in 2017. Most construction spending in 2018 will be for Memory (just under $9 billion), primarily for 3D NAND followed by DRAM. Foundry will log second place in construction spending at just under $5 billion. Fab Equipment Spending Fab equipment spending (new and used) for 2018 is expected to jump 14 percent to a record high of US$63 billion, flat from the forecast issued in June 2018. Equipment spending (new and used) for 2019 is expected to increase 8 percent to another record of just under US$68 billion, a downward adjustment from +9 percent published in June 2018. We believe equipment spending will remain healthy, driven by solid, broad-based demand and predictable technology investments on top of constructive SEMICAP equipment fundamentals. Activity Report The August report features 1,265 records including about 300 Opto- and LED-related facilities. We have made 223 changes related to 216 fabs/lines. The modifications include the addition of new records, changes to existing records, the deletion of records since the February 2018 World Fab Forecast report. We are tracking 103 future facilities/lines with various probabilities that will start volume production in 2018 or later. Download a sample report Not a subscriber? Please review SEMI fab databases listed below. Our databases deliver the latest forecast and a complete analysis of front-end fabs and foundries worldwide. They are ideal resources to empower your market research. Eugenia Liu is a Senior Product Marketing Manager at SEMI.