Semiconductors - the Next Wave - Opportunities and winning strategies for semiconductor companies April 2019 - Deloitte
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Semiconductors – the Next Wave Opportunities and winning strategies for semiconductor companies April 2019
Semiconductors – the Next Wave Foreword The ever-evolving semiconductor scene 5 Future of automotive semiconductors 12 Race is on for AI chips 30 Muted tone for M&A 38 Accessing the Chinese market 46 Digitalization is key to competitiveness 52 2
Semiconductors – the Next Wave Foreword Semiconductors are essential technology enablers that power many of the cutting-edge digital devices we use today. The global semiconductor industry is set to continue its robust growth well into the next decade due to emerging technologies such as autonomous driving, artificial intelligence (AI), 5G and Internet of Things, coupled with consistent spending on R&D and competition among key players. East Asia (Mainland China, Japan, South Korea and Taiwan) is where some of the world's most important semiconductor players are located. The region has become a hotspot for the semiconductor industry due to its burgeoning economy, the rise of mobile communications and growth in cloud computing. China, in particular, commands almost half of overall market value, split roughly 50-50 between domestic demand and Taiwan-based, world-leading ODMs (e.g. Foxconn and Quanta) or foundries (e.g. Taiwan Semiconductor Manufacturing Company [TSMC]) serving global clients. China also aspires to a self- sufficient semiconductor industry and ascension to become a global powerhouse at the same time. Japan, on the other hand, is an important supplier of semiconductor materials, high-end equipment and special semiconductors. Meanwhile, South Korea has a commanding lead in the global HBM (high bandwidth memory) DRAM (dynamic random-access memory) market. M&A activity in the semiconductor industry has already peaked and specialized verticals are becoming the primary focus. Japan and Korea are seeking to revive their industries through acquisitions, while the continuing trade war and disputes over intellectual property will hamper China's ambition to go on a global spending spree. 3
Semiconductors – the Next Wave The semiconductor sector's growth trajectory will flatten somewhat as demand for consumer electronics saturates. However, many emerging segments will provide semiconductor companies with abundant opportunities, particularly semiconductor use in the automotive sector and AI. In the automotive sector, the adoption of safety-related electronics systems has grown explosively. Semiconductor components that make up these electronic systems will cost USD600 per car by 2022. Automotive semiconductor vendors will benefit from a surge in demand for various semiconductor devices in cars, including microcontrollers (MCUs), sensors and memory. Automation, electrification, digital connectivity and security will result in the addition of more semiconductor content to automotive electronics and subsystems in the next decade. The AI semiconductor scene has seen a race not just at the application level, but also at the semiconductor chip level, where different architectures are vying for a piece of the pie. The cloud is the biggest market for AI chips, as their adoption in data centers continues to increase as a means of enhancing efficiency and reducing operational cost. Finally, China has become a source of income for top global semiconductor companies, many of which generate over half of their revenue from China. Multinationals trying to access the Chinese market should consider a multitude of factors such as policies, technologies, marketing, logistics and global strategies. It is imperative for a multinational to realize the position it is in before entering China to come up with the best entry strategy. 4
Semiconductors – the Next Wave | The ever-evolving semiconductor scene 1 The ever-evolving semiconductor scene Robust growth expected and the inclusion of emerging In the past few years, growth of the technology such as AI in products global semiconductor industry has and 5G networks, as well as rapid been driven largely by demand from growth in automotive and industrial electronics such as smartphones electronics, will be some of the and the proliferation of applications market's key driving forces. The including the Internet of Things bulk of semiconductor revenue will and cloud computing. The global come from processing electronics semiconductor sector's total revenue (e.g. storage and cloud computing) is set to increase from USD481 billion and communication electronics (e.g. in 2018 to USD515 billion in 2019 wireless). and continue its robust growth well into the coming decade. Continued enhancements of existing products 5
Semiconductors – the Next Wave | The ever-evolving semiconductor scene Figure: Global semiconductor sales revenue (2016-2022, billion USD) 542.64 billion (2022) 600 0.25 542.64 515.51 509.07 514.19 500 481.09 0.2 420.39 Communication Electronics: 30.2% 400 0.15 345.85 Data Processing Electronics: 300 0.1 34.2% Consumer Electronics: 200 0.05 9.3% Automotive Electronics: 100 0 12% Industrial Electronics: 0 -0.05 Military/Civil Aerospace 13.2% Electronics: 1.1% 2016 2017 2018 2019 2020 2021 2022 Source: Gartner, Deloitte analysis Automotive and industrial the semiconductor industry, with revenue run-away segments from consumer electronics, data Automotive electronics and industrial processing and communication electronics are expected to be electronics set to grow steadily. the fastest growing markets in the 6
Semiconductors – the Next Wave | The ever-evolving semiconductor scene Figure: Semiconductor revenue growth by electronic equipment type (2017- 2022) Head Mounted Display:34.9% Smart Watches:23.9% ADAS:23.6% Automotive Electronics Industrial Electronics Other Wearables:22.9% Consumer Electronics EV/HEV:21% Data Processing Communication Electronics Security:18.5 % Military/Civil Aerospace Electronics 2017-2022 Other Industrial: 17.5% GAGR Body:13.3% Other Consumer:13.0% Solid-State Lighting: 12.4% Storage:11.8% Instrument Cluster:11.2% Automation:11.2% Energy Management:8.5% Infotainment:8.2% Transportation:7.7% Fitness wearables:7.7% 5% 0% 10% 15% 20% Mean:7.2% Other Audio:6.1% Chassis: 6.1% Aftermarket:6.1% Wired Communication:5.1% Commercial Amusement:4.3% Medical/healthcare:3.8% Test/measurement:3.6% Powertrain:3.4% Appliances:3.0% Military/Civil Aerospace Electronics:3.0% Other Video:2.9% Wireless Communication:2.6% Safety:2.6% Compute:1.9% TV:0% Digital Set-Top Box:-2.9% video game consoles/handhelds:-4.0% Digital Camcorder:-5.5% Digital Still Camera:-7.1% (Blue Laser)DVD Player/Recorder:-12.0% Portable Media Players:-15.9% Source: Gartner, Deloitte analysis 7
Semiconductors – the Next Wave | The ever-evolving semiconductor scene Consumption of automotive electronic Head mounted displays will be the Communication electronics include components for safety, infotainment, main driver of semiconductor growth wired and wireless electronics. In navigation and fuel efficiency will in consumer electronics. In addition, wireless electronics, traditional phone increase for years to come due to wearables and smart watches will be and cellular modems will experience ever-more electronic components new point of growth. However, other large declines, while smart phone being applied in advanced safety consumer electronics markets, such demand will increase only slightly. features added to vehicles. Among as DVD and portable media players, Revenue growth from the wireless applications driving semiconductor will see sharp declines. Hence, the market could be quite slow. In wired growth, advanced driver-assistance overall revenue increase of consumer communication electronics, enterprise systems (ADAS) will have the largest electronics will be somewhat limited. WANs (wide area networks) deployed increase. They will drive demand for as appliances should be the fastest- ICs (Integrated Circuits), MCUs and Data processing electronics include growing segment. sensors. computing and storage. Storage, especially SSDs (solid-state drives), APAC appetite remains strong Industrial electronics encompass will account for the largest increase. The Asia Pacific region will remain security, automation, solid-state As the price declines seen in 2018 the world's biggest market for lighting, transportation and continue, the trend towards greater semiconductor consumption. An energy management. Security SSD adoption and increased average increasing proportion of Chinese is the most substantial driver of capacity will retain strong momentum; products, which is stimulating the industrial electronics. New memory particularly in enterprise SSDs as growth of the whole Asia Pacific technologies enhance the energy data center demand will remain a key market, will be the major contributing savings, security and functionality of driver. factor. In addition, more M&A will IoT devices. benefit semiconductor sector growth going forward. Figure: Semiconductor sales by region (2018) Figure: Semiconductor sales growth (2018) North America 19.60% 14% 10% Americas Asia Pacific (exclude Japan) 14.50% EMEA Japan 6% Asia Pacific (exclude Japan) EMEA 13.90% 70% Japan 9.30% Source: Gartner 8
Semiconductors – the Next Wave | The ever-evolving semiconductor scene In terms of growth, the US had the Figure: Semiconductor sales in East Asia fastest growth rate in 2018 due to the rise of DRAM and high demand for MCUs, especially in the storage market. The Asia Pacific region China Mainland Korea Taiwan Japan has benefited from a boom in the memory market as the rising price of Source: Gartner memory generated great revenue. The integrated circuit (IC) industry in Mainland China grew 24.8%, making a major contribution to China playing catchup of the IT industry. By increasing Asia-Pacific. Korean semiconductor In East Asia, Japan has held a leading added value, Taiwan should solve the industry growth depends mainly position in the semiconductor downside in the IC design industry on IC suppliers, particularly in the R&D and materials industry, with caused by a lack of capital and memory chip market. On the other semiconductor giants including talent investment. China is taking up hand, the semiconductor industry Toshiba, Sony and Renesas. South Taiwan's semiconductor market share. in Taiwan is based on the foundry Korea and Taiwan are strong in Moreover, the expanding Chinese model. However, price fluctuations memory and foundry, respectively. Mainland market will be a business have harmed many foundries. This South Korea leads in DRAM and NAND channel for the IC design industry and has prompted vendors in Taiwan and has many top semiconductor its companies will continue to invest in to transfer some foundries into companies such as Samsung and SK the semiconductor industry in Taiwan. Mainland China and re-prioritize to Hynix, mainly thanks to government Firstly, Mainland China can provide focus on IC design in order to buck support. In terms of NAND, it is market support. The semiconductor the price decline. As for Japan, as increasingly difficult for new players industry in Taiwan needs to be close semiconductor companies have split to participate in the competition to the consumer market to support and reorganized, they have exited due to the required accumulation of product innovation and economic the DRAM business, which has low the technical know-how. However, of scale. Secondly, talent can be technical value, and shifted focus South Korea also has challenges. provided to allow Taiwan to focus on to exploit high value-added system The price of DRAM is falling and higher value-added product R&D. chips. exports are declining. Hence, South Korean semiconductor vendors are The Chinese semiconductor industry devoting themselves to equipment is on an upward trajectory, with and materials research as they seek to double-digit growth. Even though expand into other sectors to tilt away the competitiveness of Chinese from a heavy emphasis on memory. semiconductor vendors has improved greatly in recent years, the industry Taiwan has become the world's still relies heavily on key components leading location for semiconductor from the West, resulting in a self- foundry manufacturing. Taiwan's sufficiency rate of less than 20%. The semiconductor foundry industry Chinese government has paid close is dominated by two contract attention to this issue, promulgating manufacturers, TSMC and United numerous favorable policies to Microelectronics Company (UMC). strengthen the semiconductor Semiconductor foundry is a mainstay industry. 9
Semiconductors – the Next Wave | The ever-evolving semiconductor scene Figure: Major players in the Chinese semiconductor industry National Team Local Team Headed by the likes of Big Fund and Under the guidance of Large Fund, Tsinghua Unigroup, has invested many local governments have also hundreds of billions of dollars into the set up local versions of IC investment semiconductor ecosystem. fund. China Semiconductor Players Returnees Team MNC Many returnees have participated in Intel, TSMC and other MNCs have the development of semiconductor been in China for a long time. Many industry in China, often backed by PE/ joint venture has been setup across VC. China. Broadly speaking, there are four participated in the development of Looming uncertainties from the categories of players in the Chinese the semiconductor industry in China, Sino-US trade war semiconductor industry—the including UNISOC and Veri Silicon, 2019 is destined to be a bumpy one "National Team", "Local Team", PEVC Giga Device and Montage etc. These for the tech sectors of China and funds and MNCs—each of them enterprises are normally founded the US. Tit-for-tat tariffs will likely vying to make China a world-leading by returnees, focus on IC design and continue and could even escalate, semiconductor powerhouse. The in most cases are backed by PEVC. if no agreement from both side National Team is spearheaded by Among MNCs, Intel, TSMC and many can be reached in areas such as Large Fund and Tsinghua Unigroup, other foreign-invested companies intellectual property, technology which have invested hundreds of have been in China for a long time. transfer and cyber-attacks. The billions of dollars in the value chain. In recent years, a growing amount of hardest hit sector in the trade war The "Local team", on the other hand, foreign capital has paid attention to will be semiconductors, where the US acts under the guidance of Large China opportunities. Global Foundries imports USD2.5 billion worth of goods Fund, with many local governments has a factory in Chengdu. ARM and a year. having set up investment funds such Qualcomm have established joint as the Beijing IC Industry Fund and ventures in China. In particular, after Shanghai SummitView Capital Fund. Taiwan loosened restrictions on These local semiconductor funds high-tech investment in the mainland, are estimated to have exceeded TSMC set up factories in Nanjing and RMB200 billion. In the PEVC system, Unicom entered Fujian via Jinhua. many overseas returnees have 10
Semiconductors – the Next Wave | The ever-evolving semiconductor scene Figure: China imports: IC chips vs Crude Oil Figure: US deficits with China Computers & electronics $167.3 300 Electrical equipment $39.9 250 Misc.manufacturing $38.6 200 Apparel $29.3 150 Machinery $25.7 Furniture $23.4 100 Fabricated metal $20.3 50 Leather $19.8 0 Plastics & rubber $15.6 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Textiles $11.6 Crude oil imports (billion dollars) Chip imports (billion dollars) 05 01 00 1502 00 Source: Deloitte analysis Currently, China imports over USD200 In the grand scheme of things, however, billion worth of IC chips from the US, far the short-term impact of the Sino-US exceeding its imports of crude oil. Any trade war on China's high-tech industry hiccups in the semiconductor value chain may not be as big as it appears, since will have a severe impact on other parts of the majority of IC chips made in China the industry. As the trade war continues are absorbed domestically. The back- to intensify, a handful of domestic and-forth trade war will in some ways semiconductor giants and MNCs have force Chinese enterprises to innovate begun to re-evaluate their positions in independently and accelerate the process the supply chain. Apple, for example, has of domestic substitutions to ease future long used China as its production base for risks. everything from its signature iPhones to iPads accessories. The company's supply chain now spans hundreds of companies. However, these suppliers may consider shift some iPhone production away from China should tariffs on US imports continue to rise. 11
2 The future of automotive semiconductors Surge in automotive electronic regulation and customer demand, the systems adoption of safety-related electronics The automotive industry has come a systems has exploded. Most of the long way in terms of providing factory- automotive innovations taking place installed electronics meant for safety today arise from electronics rather and comfort. Back in 2004, only a than mechanics. The cost contribution quarter of cars had airbags and less of automotive electronics increased than 50% had factory-installed power from around 20% in 2007 to about seats. However, due to government 40% in 2017. 12
Semiconductors – the Next Wave | Future of automotive semiconductors Figure: Factory-installed electronics Interior Voice/Data Lightering Communications Accident Entertainment Recorder Auto- Active System Driver Dimming Cabin Noise Cabin DSRC Battery Alertness Mirror Suppression Environment Management Monitoring Controls Instrument Event Repair Night Cluster Data Vision Recorder Lane Correction Head-Up Display Electronic Toll Collection Windshield Digital Turn Parental Wiper Control Signals Controls Navigation Engine System Airbag Control Deployment Differential Adaptive Front EV/HEV Lighting Security System Adaptive Cruise Active Exhaust Control Noise Suppression Automatic Active Suspension Braking Hill-Hold Electric Power Regenerative Control Steering Braking Electronic Throttle Control Antilock The Pressure Braking Electronic Valve Monitoring Timing Idle Stop/ Start OBDII Electronic Drive Blindspot stability Shaft Parking Direction Seat control system Cylinder Position De-activation Remote Lane Active control Keyless Departure Active Yaw Vibration Entry Warning Control Control Transmission Control ADAS: uses sensors installed on the EV/HEV: hybrid vehicle that combines a Body: represents for vehicle components vehicle to sense the surrounding conventional internal combustion engine itself, including power door, power environment at any time of driving (ICE) system with an electric propulsion window, climate control and mirror wiper process, which can collect data, detect system. control. and track potential dangers. Instrument Cluster: a control panel Chassis : the framework of an artificial Powertrain: refers to series of parts and usually located directly ahead of a object, which supports the object in its components that generate power on the vehicle's driver, displaying instrumentation construction and use. vehicle and transmit it to the road surface. and controls for the vehicle's operation. Infotainment: provides a combination of Safety: includes active and passive safety Aftermarket: concerned with the information and entertainment based on systems that reduce the risk of accidents, manufacturing, remanufacturing, vehicle integrated information processing as well as their consequences. distribution, retailing, and installation system. of all vehicle parts after the sale of the automobile by the original equipment manufacturer (OEM) to the consumer. 13
Semiconductors – the Next Wave | Future of automotive semiconductors The automotive industry has come a long way in terms of providing factory-installed electronics meant for safety and comforts. 100% 100% 100% 80% 80% 80% 60% 60% 60% 40% 40% 40% 20% 20% 20% 0% 0% 0% ABS Stability Control Side Airbags 2004 2017 2004 2017 2004 2017 100% 100% 100% 80% 80% 80% 60% 60% 60% 40% 40% 40% 20% 20% 20% 0% 0% 0% Tire Pressure Sensors Rear Object Sensors Blind Spot Sensors 2004 2017 2004 2017 2004 2017 Electronic systems as % of total car cost 2030F 50% Advanced driver assist Active-passive safety 2010 35% Powertrain Radar/ vision infotainment 2000 22% Airbag ABS/ESP 1990 15% 1980 10% Electronic fuel injection 1970 5% 0% 10% 20% 30% 40% 50% 60% Source: Deloitte analysis 14
Semiconductors – the Next Wave | Future of automotive semiconductors The cost of semiconductor content, from a surge in demand for various i.e. the components that make semiconductor devices in cars, such up electronic systems, has grown as MCUs, sensors, memory and more. from USD312 per car in 2013 to By 2022, the figure is expected to around USD400 today. Automotive reach close to USD600 per car. semiconductor vendors are benefiting Figure: Cost contribution of automotive electronics and semiconductor content per car 700 Semiconductor price 50% (per car) 45% 45% 600 40% Automotive electronics cost 600 40% (% of total car cost) 500 35% 475 27% 30% 400 25% 300 18% 300 20% 200 15% 150 10% 100 5% 0 0% 2000 2010 2020 2030 Source: IHS, Deloitte Analysis Semiconductor vendors play a entire ecosystem for years to come. critical role in the automotive Advances in technology such as AI, industry supply chain. In the electric vehicles (EVs), autonomous classic automotive ecosystem, driving, energy storage, and cyber semiconductor vendors sell to security; social awareness of topics Tier 1 electronic systems vendors, such as safety and ride-sharing; which then integrate technology environmental concerns like pollution; into modules and send these to the and economic considerations automaker (OEM) for assembly. In including infrastructure spending and recent years, the automotive industry growth in Asian markets are all set to has been undergoing massive reshape the automotive industry. transformations that will re-invent the 15
Semiconductors – the Next Wave | Future of automotive semiconductors Figure: Role of semiconductors in the automotive ecosystem ~10%
Semiconductors – the Next Wave | Future of automotive semiconductors Key words: Automation, electrification, connectivity and security Four mega trends will result in more semiconductor content being added to automotive electronics and subsystems in the next decade. Figure: Mega automotive semiconductor trends s do r en Au o rV to m u ct Au t o ak ic D r i v no m er nd l e c t r le s ing o E c hic ( A us ico s Ve DA m S) Se Au n to t io m ic a at I n te Elec anced ic s io Ar tif ence rif n t ro n ct llig e i c ia l El Ad v Telco or s Co Di e c t i d end ce y nn gi t v i Pl a n va r i t In f t fo al t y hV da t y yer Ad e cu Pla s ot r m an r i rd c S St ecu ai s m Te n s e S L ig h t w e ig h t Technolog y L ig h t y weight Technolog Trends Players Technology Transfomation Source: Deloitte analysis 17
Semiconductors – the Next Wave | Future of automotive semiconductors 1. Automation Safety is a key selling point for will play a critical role in the shift to Widely considered as the ultimate autonomous vehicles. However, autonomous driving. More sensors goal for the future of mobility. getting to full autonomy (Level are required to enable autonomous Automakers and Tier-1 suppliers, as 5), requires advancements in capabilities. The number of sensors well as technology providers (e.g. technologies such as ADAS safety used in vehicles will increase as semiconductor vendors) and smart systems that can reduce the number autonomy levels rise. At Level 4, the mobility companies (e.g. ride-sharing of traffic accidents, including number of sensors could reach 29. companies) not traditionally involved electronic stability control, lane These features will not be limited to in the automotive industry, are all departure warning, anti-lock brakes, high-end cars, but will move into mid- racing to develop and invest in related adaptive cruise control and traction range and economy models where technologies. Semiconductor vendors control. All of these require complex volume movement is going to be in particular are actively developing electronic components that include much higher in the next few years. a wide-range of microchips, fusion high-speed processors, memory, and system-on-a-chip devices controllers, sensors and data links incorporating AI and machine learning to ensure the reliability and safety technologies. of a vehicle. For example, sensors Figure: Number of sensors for different levels of autonomous driving AC C: Active Cruise Control Level 5 (2040) LDWS: Lane Departure Warning System AP Anywhere LKA: Lane Keep Assist PA: Parking Assist AEB: Automatic Emergency Braking Level 4 (2028) DM: Driver Monitoring AP: Auto Pilot Sensor Fusion TJA: Traffic Jam Assist ~32 AP Highway Ultrasonic 10 Radar LRR 2 Level 3 (2022) ~29 Radar SRR 6 AEB DM Camera for surround 5 Ultrasonic 10 Long distance cam 4 TJA Radar LRR 2 Stereo camera 2 Level 2 (2015) Radar SRR 6 Ubolo 1 Level 1 (
Semiconductors – the Next Wave | Future of automotive semiconductors 2. Electrification 3. Digital Connectivity especially have an advantage in this The need for cars to be more Then there is digital connectivity— area, due to their core capabilities fuel-efficient, and the impetus advanced vehicle connectivity (V2I, and aggressive capital investment. of government regulation to V2V, in-vehicle)—that connects both From a consumer's perspective, in- lower emissions, are driving up the inside and outside of a car and car digital connectivity and content semiconductor demand for both makes it a part of the Internet of will become the norm, particularly traditional vehicles and EVs/hybrid Things. Automakers have begun to with Asian customers who consider electric vehicles (HEVs). In today's provide operating systems (OS) to act entertainment a basic automotive traditional internal combustion (ICE) as platforms for potential app stores, function with flawless integration engines, there is still huge potential to as well as developed tailored apps, of their personal mobile devices. lower CO2 emissions. Many sensors services and media content. Digital Connectivity is not just entertainment; and controls are required to run an technology players are adapting vehicle-to-vehicle communication is engine efficiently and significant their mobile platforms to cars and a critical technology for autonomous improvements can still be achieved. developing in-car entertainment cars to realize driverless technology The Chinese government, for example, platforms. Some media-streaming and avoid accidents. It is expected will introduce the new "6A" emission services and device manufacturers that by 2023 over 90% of vehicles standard by 2020 to further lower have formed partnerships with produced will be connected. vehicle emissions. automotive OEMs. Digital tech players At the same time, EV/HEV advances require progress on the electrification Figure: Components of the connected car of power trains. Governments in many countries are beginning to ban, or in the process of banning, ICE-based cars completely. China is Vehicle targeting increased EV production by communication automakers (10% of total production Firmware busses from 2019). Many global automakers have also set goals to have EVs account for 15%-25% of their sales Advanced/ within 10 years, thereby bringing autonomous Mobile vehicle applications EVs to the masses. As major OEMs systems pursue their EV goals, growth of the semiconductor industry will increase Wireless proportionally. Thus, conditions communications are ripe for innovation in electronic Connected powertrain technologies that will vehicle be used to reduce total emissions, services thereby accelerating more demand for semiconductors. Infotainment Integrated systems vehicle security Source: Deloitte analysis 19
Semiconductors – the Next Wave | Future of automotive semiconductors 4. Security vendors today are more focused than secured with no introduced back As vehicles become more connected, ever on the safety and reliability of doors or Trojans, assess vulnerabilities hardware and software platforms vehicles. in software and firmware, provide will be increasingly exposed to over-the-air (OTA) updates and have hacking risks. A failure in one vehicle Two levels of protection are being communications links. component could have an avalanche considered to deter any potential effect. For example, if vehicle threats. The first is developing policy Future states of mobility will communications were attacked and establishing cybersecurity coexist maliciously, advanced vehicle systems standards, so that manufacturers We envision that these would not be able to receive vital can follow a rigorous process for transformations will create four situational awareness information and establishing the safety of connected co-existing states in future mobility, integrated vehicle security systems vehicles. Standards alone may not be where vehicle ownership diverges (control braking, acceleration and sufficient, however, as automakers between the shared and the personal, crash avoidance, etc.) would fail to and technology players will need to while vehicle control continuously react. Thus, automotive electronics build components that are highly moves towards complete automation. Figure: Future states of mobility Vehicle Control Technology Landscape Level 3 & Level 4 of Tech players and startups play 1 autonomy. Advanced a critical role with automakers. Autonomous driver assistance system Autonomous vehicle become (ADAS). Cheaper economical. 1. Private 3. Shared technology. Autonomous Autonomous Connected vehicle. Level Little change to the existing 2 0 & Level 1 of ecosystem. Automakers autonomy, adaptive continue to push unit sales. speed steering, ABS, Tech players emerges. speed control. On-demand mobility High asset utilization, high 3 Driver-assist services, entertainment, efficiency autonomous ride- navigation, apps. sharing network. Greater collaboration between players 2. Private 4. Shared in disruptive environment. Automation Automation Mobility and data-driven Ride-sharing proliferates. 4 services, mobile devices Multi-vehicle households such as smartphone on reduces. Tech players to offer Vehicle the rise. more personalized services. Ownership Private Shared Source: Deloitte analysis 20
Semiconductors – the Next Wave | Future of automotive semiconductors In Private-Autonomous (state 1), automakers, technology players, fleet vehicles, such as ADAS and in- vehicle ownership remains private, owners and regulatory bodies to vehicle infotainment (IVI), becoming but the automation level has achieved create a complex urban ecosystem. an important growth market for an all-time high due to decreases semiconductor players. in the cost of technology, thereby In Shared-Automation (state 4), boosting the number of autonomous where vehicle ownership is shared, a Asia Pacific the most attractive vehicles. Collaboration between OEMs rapid increase in adoption of shared region and technology players is the norm in mobility will emerge. Point-to-point Overall automotive semiconductor this state. transportation will be created via revenue is projected to reach USD40 ride sharing and cost per-mile will billion (an all-time-high) in 2018, In Private-Automation (state 2), where decrease. The landscape in this state before hitting USD60 billion in 2022. vehicles are personally owned with will allow technology players to offer The Asia Pacific region is expected limited ADAS. Auto OEMs will continue more enhanced and personalized to lead the world with 41% growth, to focus on unit sales and bring in services. driven by supportive government incremental technological advances. policy and consumer demand for There will be little change in the Opportunities in automotive safety, particularly in China. China ecosystem. semiconductors are emerging is now the largest market for the Although mobile is, and will remain, automotive industry, with almost 29 In Shared-Autonomous (state 3), the largest market for semiconductor million cars sold in 2017. China is also the majority of cars are shared with companies, overall growth has becoming a major auto-manufacturing autonomous capabilities. In this been saturated for many years. The center, attracting global automakers, landscape, there will be a rise in only exception is the automotive accounting for close to 29% of on-demand mobility services such semiconductor segment, where worldwide light vehicle production. All as entertainment, and we will see demand is strong as more electronic this makes the region highly attractive deepened collaboration between components are being added to to semiconductor vendors. Figure: Automotive semiconductor revenue and unit production by region 65 Automotive semiconductor revenue(billion of US$) 55 45 35 25 15 5 -5 2016 2017 2018 2019 2020 2021 2022 Powertrain Infotainment Body EV/HEV Chassis Safety Aftermarket ADAS Instrument Cluster 21
Semiconductors – the Next Wave | Future of automotive semiconductors ADAS to lead growth sensors and power semiconductors, The growth of the automotive because in hybridization and electrical semiconductor market depends vehicles, semiconductors are the on electronic equipment and primary driver for the efficiency of the semiconductor content growth electric drive train. in vehicles. The ADAS application segment is expected to have the highest growth rate. ADAS Asia/Pacific semiconductor content will rise along with the level of automation. In fact, partially automated cars will EMEA have about USD100 in added-in semiconductor content, with a highly Americas automated car potentially having USD400 added. A fully automated Japan car would have about USD550 of semiconductor content. In other 0.00% 10.00% 20.00% 30.00% 40.00% segments such as powertrains, there is huge demand for microcontrollers, Source: Gartner, Deloitte analysis Figure: Average ADAS semiconductor content at different levels of automaton Partial automation High automation Full automation Level 2 Level 3 Level 4 $400 10% $550 12% 20% 35% 8% 60% $100 5% 25% 45% 40% 40% a r r on M a r r on s M a r r on rs M da da da da da da or er er er to O O O isi isi isi at m m m Ra Li Ra Li Ra Li lB lB lB ua rF rF rF tu Ca Ca Ca ta ta ta t Ac Ac o o o to to to ns ns ns Se Se Se Source: Infineon From a device perspective, different will generate large demand for example, when vehicles reach Level types of components will be sensors and microcontrollers as 4 or 5, systems need to be able to required for increasingly complex well as processing for each of these process all sensor data to create a functionality sets. Some segments sensors. The industry is also in the holistic view that allows the car to will grow faster than others do. process of developing more powerful make the right judgement. For example, autonomous driving MCUs/MPUs to handle the data. For 22
Semiconductors – the Next Wave | Future of automotive semiconductors Figure: Automotive semiconductor application and device growth (2022) Segment Growth Size Sub segment (2017-2022) (2022) Blind spot detection/Collision warning/Park ADAS 23.6% 11b assistance/V2X/Front view camera Aftermarket 6.1% 3b Vehicle parts/Equipment/Service repair/Collision repair Power door/Power window/Climate control/Mirror wiper Body 13.3% 12b control USD 600 by Application (Gartner) semiconductor Chassis 6.1% 7b Suspension/Differential/drive shaft content per car by 2022 EV/HEV 21% 6b Hybrid vehicle Infotainment 8.2% 9b Connectivity/Telematics/Car navigation/Car audio Instrument Cluster 11.2% 4b Instrument panel, instrument wiring harness Powertrain 3.4% 6b Engine Control/Transmission Safety 2.6% 5b EPS/ABS/Airbags/Traction control/Tire pressure monitor General-Purpose Logic IC Data Converter, Switch, Multiplexer, Voltage Regulator, 12.5% 2b Reference Memory IC 10.9% 4b DRAM, Emerging Memory, Flash Memory, NAND Optoelectronics 18.9% 8b Image Sensor, LED, Photosensor Discrete 9.9% 9b Power transistor, Diodes by Device(Gartner) Nonoptical Sensors Environmental Sensors, Fingerprint Sensors, Inertial 7.2% 6b Sensors, Magnetic Sensors, Micro-Component IC 7.7% 11b Digital Signal, Microcontroller, Microprocessor Data Converter, Switch, Multiplexer, Voltage Regulator, Analog IC 7.4% 4b Reference ASIC 6% 3b ASIC ASSP 12.3% 19b ASSP Source: Gartner, Deloitte analysis 23
Semiconductors – the Next Wave | Future of automotive semiconductors Seizing the opportunities these opportunities, leaders in the failure rate might be acceptable in The automotive segment is not really semiconductor industry should the mobile space for suppliers, but a new market for semiconductor consider the following actions and automakers will want less than one vendors. In fact, many of them have approaches to the market: defective part per billion (DPPB) for 15 been participating in this market for to 20 years. several years. However, it was not 1. Understanding the automotive considered a big revenue source since sector's unique hurdles Furthermore, in the mobile world, there were not enough customers, When it comes to requirements, the designs regularly reach 3GHZ, it took a very long time to qualify automotive electronics market is where frequency and speed are a process and volume was low vastly different from the consumer top priorities. On the other hand, compared to consumer electronics. electronics market. For example, automotive frequencies and speeds However, sentiment has changed consumers seek the latest, leading vary. But, as 5G-connected cars due to rising demand for automotive edge technologies in cellphones. soon become a reality, the two electronics such as ADAS, AI, However, in automotive, some domains might eventually merge, with connectivity and sensors. To seize sensors are still being manufactured connected cars in a way become cell at 150nm. This is because automotive phone-like. Automotive chips also design requires substantial need to operate at a wider range of redundancy and size is less of a temperatures: -40°to 155°centigrade concern, so there is little incentive versus 0°to 40°centigrade for a to move to 7nm sensors like those in mobile device. Voltages also vary cellphones. In addition, the failure rate greatly between automotive and requirement is much more stringent mobile. In mobile applications, in the automotive space, because voltages are kept low to conserve when a cellphone goes down a simple battery life. However, there are reset can fix the issue, which is not high voltages in cars and many possible for a car on the road. A 10% semiconductors are still analog, which requires devices to operate correctly in a wider range. 24
Semiconductors – the Next Wave | Future of automotive semiconductors Figure: Automotive IC requirements versus mobile This is especially important since future autonomous driving will rely on components working together perfectly. How devices will fare over time in a harsh external environment 28nm 7nm Process >180nm 7nm is yet to be determined. A typical 100M+ Design Sizes(μP/C) 60V 0 40℃ Temperatures -40 155℃ It will be incumbent on semiconductor vendors to conduct more simulation, 1-3 years Operation Lifetime ~10-15 years inspection and testing of larger sample sizes to ensure reliability
Semiconductors – the Next Wave | Future of automotive semiconductors Table: Automotive semiconductor related M&A M&A Amount (USD) Date NXP/Freescale 118 million March 2015 Avago/Broadcom 370 million May 2015 Intel/Altera 167 million June 2015 Analog Devices/Linear 130 million July 2016 Softbank/ARM 302 million July 2016 Qualcomm/NXP 459 million October 2016 Intel/Mobileye 153million March 2017 Source: Mergermarket, Deloitte analysis Thus, M&A should be considered an the best chance of producing high is also seen by Samsung as a new integral part of an overall strategy quality components. M&A allows and profitable revenue stream. to maintain competitive edge. The quicker access to this expertise to Samsung will expand its reach across potential benefits M&A brings include strengthen competitiveness and the connected car market, ADAS, filling gaps in product line, accessing increase market share. cybersecurity and over the air (OTA). state-of-the-art technology and The acquisition also aligns with gaining access to a wider customer Oversaturation of the smartphone Samsung's IoT universe strategy to base. These are especially important market has pushed many big achieve volume. in the automotive semiconductor semiconductor players to explore industry, because it takes great effort possibilities in the automotive Meanwhile, Panasonic is refocusing to secure long-term partnership semiconductor market to broaden its work from home electronics to agreements with automotive their portfolios and diversify revenue high-tech auto parts, leveraging companies. Added to this is the fact streams. The connected car provides its expertise in electronics to that most automotive semiconductor an entry point for the expanded role build advanced capabilities in the projects are lengthy, often taking semiconductor vendors can play. automotive electronics market. years from concept initiation, product Panasonic has made several development and qualification For example, Samsung acquired acquisitions in the last few years, process all the way to production. Harman to build its infotainment coupling these with building In addition, customers are seeking capability in connected cars. The autonomous driving capability integrated, comprehensive solutions move allowed Samsung to gain a in-house. Panasonic has begun from one company instead of many. foothold in the automotive market, testing autonomous cars, teamed as Harman is a global leader in up with Google and Qualcomm on From a technology perspective, connected autonomous vehicles. infotainment, and formed a joint automotive semiconductor The acquisition not only allowed venture ( JV) in China to provide key EV components have to adhere to Samsung to position itself as a key components. stringent quality standards, and supplier of infotainment systems semiconductor vendors with cutting- using an established brand name, edge manufacturing capabilities have but the autonomous vehicle market 26
Semiconductors – the Next Wave | Future of automotive semiconductors 4. Rethink collaboration models Players' roles are shifting and new or JVs, the roles in the supply chain and roles players are rising. Customers are are blurring. As vehicles become more The ecosystem and collaboration becoming partners or competitors autonomous, systems within them are models of the traditional automotive and vice versa. From acting as a ever more connected and cannot run semiconductor are no longer static supplier and forming strategic in isolation. but more intertwined than ever. partnerships to entering M&A deals Figure: The evolving automotive semiconductor supply chain Classic automotive semiconductor supply chain New automotive semiconductor supply chain Tier 1 Electronic Systems Tier 2 Tier 1 Semiconductor Electronic OEM Vendors Systems Tier 2 Tech & Digital Semiconductor OEM Players Vendors 27
Semiconductors – the Next Wave | Future of automotive semiconductors This market landscape adds a layer applications. New tech entrants of complexity to the existing supply are positioned to take the lead in chain. Some automakers are now software-focused elements. Digital designing their own IC (e.g. Tesla) and players are adapting their smartphone extending their activities beyond core platforms to car-specific customer hardware business into the provision needs, integrating infotainment OS of software OSs designed to serve as and software platforms into car platforms for potential app stores, as systems and cars' human-machine well as developing specific apps and interfaces. Media-streaming other services or media content. services and end user equipment Other Tier 1 players are also manufacturers have already formed designing ICs and getting involved in partnerships with some automotive software. Continental's purchase of OEMs. Semiconductor vendors Elektrobit is an example of this trend. can expand their roles by not only Furthermore, semiconductor vendors serving traditional automakers and are now developing electronic control their suppliers, but also through units, as are some IC houses. collaborating with technology vendors to offer more products. Automotive suppliers are also trying to become less dependent on OEMs At the same time, semiconductor this involved a few critical automotive by establishing direct relationships vendors are increasing collaboration products such as infotainment with end customers. For example, with both automakers and tier-one and display drivers, with critical Bosch's app allows customers to automotive suppliers. For example, components such as power train monitor car functions and provide Nvidia and Audi are collaborating or chassis control components still a direct connection to the nearest to build an AI platform with deep made by IDMs themselves. However, Bosch repair center. learning technology for autonomous the trend is shifting, as IDMs are now driving. Utilizing neural networks outsourcing critical applications to Technology players are applying to understand the surrounding foundries. For example, ADAS requires their existing capabilities to digital environment and determine safe advanced MCUs but many IDMs do automotive platforms. Tech players routing to incorporate into Audi's not have the in-house capabilities to have significant advantages, including line of L3 cars. This type of strategic create them. capabilities, operating models and partnership brings in skills from both capital for aggressive investment, side that complement one other and as they focus on making horizontal create a mutually beneficial situation. moves to create new revenue models. Several high-tech players Meanwhile, many IDMs have stopped are developing autonomous-driving building leading-edge fabs and systems that are quite likely to merge turned to "fabless/fablite" over the into operating systems. Leading last 20 years due to leading-edge online and technology companies fabs' prohibitive cost. But, they have are focusing on in-car entertainment in general kept their proprietary platforms, which they hope will processes in-house while outsourcing become the standard for such some production to foundries. Initially, 28
Semiconductors – the Next Wave | Future of automotive semiconductors 5. Keep an eye on start-ups and vibration and shock, wear and tear, their disruptions and cleaning that is normal to the Start-ups are a hotbed of activity harsh conditions of driving. Finally, in connected cars, VRV/V2X there are still edge cases to be communication, mobility services, resolved, such as bright sun against cybersecurity and the AI/machine a white background, blizzards that learning space. Investments in causes whiteout conditions and early these auto tech companies have morning fog. also seen huge increases in recent years. There is a wide variety of There are several reasons why startups in the industry to address semiconductor vendors should different pain points. For example, pay attention to startups. First, the new hardware startups are looking emergence of these startups in the at ways to address the pain points connected vehicle space affords associated with light detection and the opportunity to cooperate ranging (LiDAR), which is integral to with them. Second, gaining access the safety of autonomous vehicle. to technologies such as digital First, LiDAR is still quite expensive and connectivity and AI will be increasingly many big automakers do not use it; important for semiconductor vendors second, (dynamic) range is a big issue and OEMs, as R&D cost and risk are with the technology, i.e. how near, high. Third, these startups could far and widely can LiDAR accurately be potential acquisition targets for build a 3D picture from millions of semiconductor vendors to acquire pixels. Robustness is another issue, innovative technologies or enter niche with LiDAR having to withstand the markets. Figure: Automotive startups' areas of specialization Driver Connected Car V2V/V2I/ V2X assistance/ Fleet Telematics robotics Safety Mobility LIDAR/ mapping Cybersecurity tools/system Services systems Machine Computer Autonomous learning/ AI/ Vision/ UX/ Design platforms Deep learning/ Detection Source: Deloitte analysis 29
3 The race is on for AI chips The race for AI chip domination "Depth" refers to the layers and The artificial intelligence framework number of nodes in a neural network can be broadly characterized into model. Over the years, the complexity three layers. The infrastructure layer between layers and the number of includes the core AI chips and big nodes have grown exponentially. data that support the sensing and This presents a significant challenge cognitive computational capabilities of for computation. Traditional central the technology layer. The application processing units (CPUs) excel at level sits at the apex, providing general workloads, particularly if they services such as autonomous driving, are rules-based. However, CPUs can smart robotics, smart security and no longer keep up with the parallelism virtual assistance. AI chips form the required of AI algorithms. heart of the AI technology chain and are central to the processing of AI algorithms, particularly for deep neural networks (DNN). 30
Semiconductors – the Next Wave | Race is on for AI chips Figure: AI chips' role in the layers of AI Flexibility • Robotics • Autonomous Driving CPU • Business Intelligence (Intel) • Smart Factory Application • Personal Assistance • Customer Service …… GPU • Machine Learning (NVIDA,AMD) • Deep learning Technology • AI Platform • Speech Recognition • Image Recognition FPGA • Biometric (Xilinx, Altera, …… Microsoft…) • AI chips • Sensors Infrastructure • Computing ASICs • Data (Google, Horizon …… Robotics, Bitmain, Cambrian…) Efficiency Source: Microsoft, Deloitte analysis There are two major ways to address GPUs used to process graphic and flexibility, especially when an the parallelism issue. One is to add intensive tasks such as games are AI algorithm has not been finalized. a dedicated accelerator based on built with parallelism in mind. GPUs This allows vendors to optimize existing computational architecture. have very high performance suitable custom chips for their applications The other is to re-develop completely for deep learning AI algorithms that while avoiding the cost and potential to create a new architecture that require a lot of parallelism. This new technology obsolescence of the ASIC simulates the neural networks of role makes GPUs a great choice for approach. human brains. The latter approach is AI hardware. GPUs are now widely still in the early phase of development used in cloud and data centers for ASIC AI chips, on the other hand, and unsuitable for commercial rollout. AI training. They are also used in the have dedicated architecture for AI The addition of AI accelerators will automotive and security sectors. The applications. ASIC-based AI chips have therefore be the primary method. GPU is currently the most widely used, many variations, including TPU, NPU, Numerous types of AI chips are most flexible AI chip available. VPU and BPU, etc. These are all aimed available for acceleration: mainstream at diverse, computer-intensive, rules- ones including GPUs, field- FPGAs, meanwhile, are programmable based workloads with high efficiency programmable gate arrays (FPGA) and arrays suitable for clients that and performance and the flexibility application specific integrated circuits want to reprogram based on their of a CPU. Typically, ASIC AI chips have (ASIC), with variations including TPU, own requirements. FPGAs are higher efficiency, a smaller die size, as NPU, VPU and BPU, etc. Each has its characterized by a faster development well as lower power consumption than own strengths and weakness. cycle (versus ASIC) and low power GPUs and FPGAs. But, ASIC chips' requirements (compared to GPUs). development cycle is longer and less But, their flexibility makes their cost flexible, which has contributed to its relatively high. FPGAs can be seen as a slow commercial adoption. good compromise between efficiency 31
Semiconductors – the Next Wave | Race is on for AI chips There are two distinct AI deployments The training phase requires a phase is typically done via hardware in deep learning: training and tremendous amount of computational in the cloud. The inference phase, on inference. AI utilizes big data as a power because it requires the the other hand, can be handled either foundation to "train" neural network application of a huge data set to a in the cloud or on devices (products) models, using training datasets to neural network model. This requires at the edge. Compared to training obtain these newly trained models. high-end servers that have advanced chips, inference chips require more A newly trained model is then armed paralleled performance to be able thoughtful consideration of power with new capability to "infer" from new to process large, diverse and highly usage, latency and cost. data sets to reach a conclusion. parallel datasets. Therefore, this Figure: The two-phases of deep learning DEEP LEARNING TRAINING INFERENCE Learning a new capability from existing data Applying this capability to new data TRAINING NEW App or Service Untrained Neural Deep Learning DATASET Trained Model DATA Network Model New Capability Featuring Capability Framework “Cat” “?” Trained Model Optimized for Performance “dog” “Cat” “Cat” Source: nVidia Innovation in AI chips has just AI chips to enjoy explosive growth begun, with vendors taking different The AI chip market is expected to approaches to chip acceleration. account for over 12% of the total Google, for example, has taken the AI market by 2022, with a CAGR of ASIC path, whereas Microsoft has 54%. The Americas is expected to demonstrated that comparable, lead the market, followed by EMEA and sometimes even better results and then APAC. The Americas overall can be achieved using an FPGA. will dominate the market throughout Meanwhile, Xilinx, Baidu and Amazon 2022. are all working to lower the traditional barriers to FPGA adoption. 32
Semiconductors – the Next Wave | Race is on for AI chips Figure: The global AI and AI chip market (2022) 120 120 100% 16 120% 14.616 97.1 14 100 100% 80% 12 10.998 80 74.5 80% 60% 10 7.445 60 51.9 8 60% 40% 6 40 4.798 40% 29.3 4 20% 2.388 20 20% 2 0 0% 0 0% 2016 2017 2018 2019E2 2020E 2016 2017 2018 2019E2 2020E Global AI market size (billion dollars) YOY Global AI chip market size (billion dollars) YOY Source: CDIC Cloud-based AI chips the most promising segment The AI chip market can be split into two categories based on deployment methods: cloud-based and network edge. Deployment Application Market Potential (2022) CAGR (2018-2022) Foundry 1 Training ~17billion ~55% Cloud-based Infer ~7 billion ~85% AI Chip 2 Security ~2 billion ~40% Network edge Automotive ~5 billion ~43% IP Smart Phones ~4 billion ~60% Source: CICC, Deloitte analysis 33
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