IoT Industrial: aplicaciones y oportunidades

IoT: A Connected World Victor Grimblatt R&D Group Director

Bogota, November 2018

© 2018 Synopsys, Inc.

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Synopsys Today: From Silicon to Software FY18 Revenue: ~$3B*

$

Employees: >13,030

Patents: 2,189

$3.000

Years: 30+

#1 electronic design automation tools & services

$2.500 $2.000

Canada

USA

$1.500

4,580

Armenia China 1,471 1,101 Israel

Europe

India

2,544

$1.000

Russia S. Korea

Japan 303 Taiwan Southeast Asia

Chile $500 $0

'08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 * * Note: Q4’18 guidance midpoint provided August 22, 2018

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* Note: FY18 revenue guidance provided August 22, 2018

Broadest IP portfolio and #1 interface, analog, embedded memories & physical IP ‘Leader’ in Gartner’s Magic Quadrant for application security testing

Synopsys: Silicon to Software

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Software

• Application security testing & quality • Leader in Gartner’s Magic Quadrant

Verification

• Fastest engines & unified platform • HW/SW verification & early SW bring-up

IP

• Broadest portfolio of silicon-proven IP • #1 interface, analog, embedded mem. & phys. IP

Design

• Digital & custom AMS platforms • Best quality of results & highest productivity

Silicon

• TCAD, lithography tools & yield optimization • Down to 5nm & below

Agenda Main Concepts Components Challenges Application Domains Implementing an IoT Strategy Market Predictions Chile and Latin America Š 2018 Synopsys, Inc.

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IoT – Main Concepts

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Various Names – One Concept • M2M (Machine to Machine) • “Internet of Everything” (Cisco Systems) • “World Size Web” (Bruce Schneier) • “Skynet” (Terminator movie)

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IoT Perspective Any time On the move Outdoors and indoors Nights and daytime Outdoors Indoors On the move Any place Human to human (H2H) Human to thing (H2T) Thing to thing (T2T) Any thing

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IoT – Some Historical Facts (I) • 1926: Nikola Tesla in an interview with Colliers magazine – “When wireless is perfectly applied the whole earth will be converted into a huge brain, which in fact it is, all things being particles of a real and rhythmic whole.........and the instruments through which we shall be able to do this will be amazingly simple compared with our present telephone. A man will be able to carry one in his vest pocket.”.

• 1966: Karl Steinbuch, a German computer science pioneer said "In a few decades time, computers will be interwoven into almost every industrial product“.

• 1974: Beginnings of TCP/IP. • 1984: Domain Name System (DNS) is introduced.

• 1989: Tim Berners-Lee proposes the World Wide Web. • 1990: Considered the first IoT device, John Romkey created a toaster that could be turned on and off over the Internet for the October '89 INTEROP conference. Dan Lynch, President of Interop promised Romkey that, if Romkey was able to "bring up his toaster on the Net," the appliance would be given star placement in the floor-wide exhibitors at the conference. The toaster was connected to a computer with TCP/IP networking. It then used an information base (SNMP MIB) to turn the power on. © 2018 Synopsys, Inc.

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IoT – Some Historical Facts (II) • 1993: Created by Quentin Stafford-Fraser and Paul Jardetzky the Trojan Room Coffee Pot was located in the 'Trojan Room' within the Computer Laboratory of the University of Cambridge and was used to monitor the pot levels with an image being updated about 3x a minute and sent to the buildings server. It was later put online for viewing once browsers could display images.

• 1995: The Internet goes commercial with Amazon and Echobay (Ebay).

• 1997: Paul Saffo's prescient article "Sensors: The Next Wave of Infotech Innovation“.

• 1998: Google is incorpor • 1998: Mark Weiser continues his explorations into the topic and constructed a water fountain outside his office whose flow and height mimicked the volume and price trends of the stock market.

"Ubiquitous computing is roughly the opposite of virtual reality,“.

• 1999 - A big year for the IoT and MIT. The Internet of Things term is coined by Kevin Ashton executive director of the Auto-ID Center – "I could be wrong, but I'm fairly sure the phrase "Internet of Things" started life as the title of a presentation I made at Procter & Gamble (P&G) in 1999.

Linking the new idea of RFID in P&G's supply chain to the then-red-hot topic of the Internet was more than just a good way to get executive attention. It summed up an important insight which is still often misunderstood.“. © 2018 Synopsys, Inc.

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IoT – Some Historical Facts (III) • 1999: Neil Gershenfeld was speaking about similar things from the MIT Media Lab in his book When Things Start to Think and when establishing the Center for Bits and Atoms in 2001 – “in retrospect it looks like the rapid growth of the World Wide Web may have been just the trigger charge that is now setting off the real explosion, as things start to use the Net.” • 1999 - Neil Gross in Business Week – "In the next century, planet earth will don an electronic skin. It will use the Internet as a scaffold to support and transmit its sensations. This skin is already being stitched together. It consists of millions of embedded electronic measuring devices: thermostats, pressure gauges, pollution detectors, cameras, microphones, glucose sensors, EKGs, electroencephalographs. These will probe and monitor cities and endangered species, the atmosphere, our ships, highways and fleets of trucks, our conversations, our bodies--even our dreams.“ • 2000: LG announces it's first Internet refrigerator plans.

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IoT – Some Historical Facts (IV) • 2003-2004: The term is mentioned in main-stream publications like The Guardian, Scientific American and the Boston Globe. Projects like Cooltown, Internet0, and the Disappearing Computer initiative seek to implement some of the ideas, and the Internet of Things term starts to appear in book titles for the first time. RFID is deployed on a massive scale by the US Department of Defense in their Savi program and Walmart in the commercial world.

• 2005: The IoT hit another level when the UN's International Telecommunications Union ITU published its first report on the topic. "A new dimension has been added to the world of information and communication technologies (ICTs): from anytime, any place connectivity for anyone, we will now have connectivity for anything. Connections will multiply and create an entirely new dynamic network of networks – an Internet of Things“ • 2005: Ahead of its time, the Nabaztag (Now a part of Aldebaran Robotics) was originally manufactured by the company Violet and created by Rafi Haladjian and Olivier Mével. The little WiFi enabled rabbit was able to alert and speak to you about stock market reports, news headlines, alarm clock, RSS-Feeds, etc. as well as connect to each other. The statement was "if you can even connect rabbits, then you can connect anything" © 2018 Synopsys, Inc.

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IoT – Some Historical Facts (V) • 2006-2008: Recognition by the EU, and the First European IOT conference is held.

• 2008: A group of companies launched the IPSO Alliance to promote the use of Internet Protocol (IP) in networks of "smart objects" and to enable the Internet of Things. The IPSO alliance now boasts over 50 member companies, including Bosch, Cisco, Ericsson, Intel, SAP, Sun, Google and Fujitsu.

• 2008: The FCC voted 5-0 to approve opening the use of the 'white space' spectrum.

• 2008-2009: The Internet of Things was "Born“. According to Cisco Internet Business Solutions Group (IBSG), the Internet of Things was born in between 2008 and 2009 at simply the point in time when more “things or objects” were connected to the Internet than people. Citing the growth of smartphones, tablet PCs, etc. the number of devices connected to the Internet was brought to 12.5 billion in 2010, while the world’s human population increased to 6.8 billion, making the number of connected devices per person more than 1 (1.84 to be exact) for the first time in history.

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IoT – Some Historical Facts (VI) • 2008: U.S. National Intelligence Council listed the Internet of Things as one of the 6 "Disruptive Civil Technologies" with potential impacts on US interests out to 2025.

• 2010: Chinese Premier Wen Jiabao calls the IOT a key industry for China and has plans to make major investments in it.

• 2011: IPV6 public launch - The new protocol allows for 2128 (approximately 340 undecillion or 340,282,366,920,938,463,463,374,607,431,768,211,456) addresses or as Steven Leibson put it, “we could assign an IPV6 address to every atom on the surface of the earth, and still have enough addresses left to do another 100+ earths.”

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Gartner Hype Cycle

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2014

IoT – Why Now? • Sensors and communication devices cost has decreased . They can be added toother devices (e.g. washing machines, traffic light, etc.) without impacting final cost.

• Wireless communications are available in almost all places.

• Power consumption has decreased allowing devices to work longer with the same battery

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Key Players Enabling IoT • Semiconductor Industry: Lower barriers to product creation • Cloud Industry: Lower barriers to create new services • Telecom Industry: Lower barriers to be connected.

IoT

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IoT can be improved through © 2018 Synopsys, Inc.

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•Artificial intelligence •Machine Learning •Deep Learning •Neural network

Artificial Intelligence $38.6B AI Revenue by 2025 Source: Tractica

Everyday AI • Speech Recognition • Ride Sharing • Autopilot on Aircrafts © 2018 Synopsys, Inc. 22

• Spam Filter • Mobile Check Deposits

Emerging AI • News Generation • Purchase Prediction • Fraud Detection

• Touch & Image Recognition • Autonomous vehicles

Defining ML & AI • Artificial Intelligence – Human levels of intelligence exhibited by machines – Narrow AI: Technology outperforming humans in a narrowly defined task

• Machine learning – An application of artificial intelligence that uses algorithms to analyze large amounts of data and then infers some information about the real world from the data

• Neural Networks – A class of machine learning algorithms – modeled after the human brain with a neuron representing the computational unit and the network describes how these units are connected to each other

• Deep Learning – A subset of machine learning using artificial neural networks with input, output and ‘hidden’ intermediate. Deep neural networks are capable of learning using large data sets © 2018 Synopsys, Inc.

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IoT - Components

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From the Edge to the Cloud IoT Edge Devices (Smart Devices)

Aggregation Layers (Hubs/Gateways)

Remote Processing (Cloud Based)

“Things” with sensors & actuators that monitor, process, and control.

Connectivity & Interfaces to aggregate the edge data to send to the cloud.

Applications to analyze the data and offer cloud services.

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Iot Architecture • 4 layers architecture –Apps.

–Cloud.

–Gateway.

–Edge.

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IoT Architecture • Composed by –Sensors / Actuators –Devices –Gateway –Cloud

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IoT Architecture – Stage Analysis

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How IoT Works? – Used Technologies RFID

Sensor

Smart Tech

Nano Tech

• identify and track the data of things

• collect and process the data to detect the changes in the physical status of things

• enhance the power of the network by devolving processing capabilities to different part of the network

• make the smaller and smaller things have the ability to connect and interact

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Data Processing • Cloud –Only convenient when an action is not immediately requested.

–Can produce bandwidth issues.

–Cannot send all data to the cloud (no changes or very small changes).

• Gateway –Useful when having a sensor network.

• Edge –Becoming common.

–Very efficient.

–Needed for fast action. © 2018 Synopsys, Inc.

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Edge Architecture

Battery Sensors

Energy Harvesters

Software Sensors

Processor(s) Actuators

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Storage

RF…

Key Design Requirements

Wireless Connectivity

Security

Sensor Processing

Energy Efficiency

What de-facto standards will emerge?

Pervasive security needed but what exactly is required?

How much processing and where will the on-chip integration be?

Add connectivity, security, & processing while extending battery life

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Example IoT SoC Architectures Corral the Market Fragmentation High-End Edge Device

• Linux, Android • 65nm  to 28nm-16nm

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Low-End Edge Device

• RTOS: FreeRTOS, Zephyr, Rocket, Contiki….

• Integrated Radio • 90nm  55nm & 40nm (0.9v)

Smart Analog Device

• Bare Metal • 180nm some 130/110/90nm

IoT – Challenges

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IoT: Incredible Opportunity with Hurdles…

Billions of Edge Devices

Battery life is expected to extend while adding connectivity.

Type of functionality, connectivity, and energy use dictate costs.

Wireless, Power Management, Memories, Sensors, Processors, etc…

In 2016, New Hacks To Worry About: Smart Homes & Connected Cars.

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Synopsys Confidential Information

IoT: Incredible Opportunity with Hurdles…

Billions of Edge Devices

Battery life is expected to extend while adding connectivity.

Type of functionality, connectivity, and energy use dictate costs.

Wireless, Power Management, Memories, Sensors, Processors, etc…

In 2016, New Hacks To Worry About: Smart Homes & Connected Cars.

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Synopsys Confidential Information

IoT Security Risks • Disruption and denial-of-service attacks • Understanding the complexity of vulnerabilities • IoT vulnerability management • Identifying, implementing security controls • Fulfilling the need for security analytics capabilities • Modular hardware and software components • Rapid demand in bandwidth requirement

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IoT Security- Trends, problems, and challenges OWASP 2014 – Top ten issues

• I1: Insecure Web Interface • I2: Insufficient Authentication/Authorization • I4: Lack of Transport Encryption • I5: Privacy Concerns • I9: Insecure Software/Firmware • I3: Insecure Network Services • I6: Insecure Cloud Interface • I7: Insecure Mobile Interface • I8: Insufficient Security Configurability • I10: Poor Physical Security © 2018 Synopsys, Inc.

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Connected Devices at Risk of Being Attacked Attacks Are on the Rise & Evolve Continuously Recent Example: Baby Monitor Attack

• Everyone is affected, from consumers and enterprises, to service providers and manufacturers.

• Security is crucial and needs to be addressed at all levels, starting with the SoC

Remote communication attack

Replace SW in SoC

Escalate privilege attack in device

– Latest hacks result in investigation.

– Companies need to be prepared to justify the security of their products.

• Growth: 30% to 95% in 2020.

EMBEDDED SECURITY is

ESSENTIAL. © 2018 Synopsys, Inc.

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Synopsys Confidential Information

Understanding Security What is meant by “security”?  Confidentiality: protecting access to information.

 Integrity: ensuring data has not been altered/tampered with .  Authenticity: knowing the sender and receiver of transmitted information.

Common security technologies  Cryptography and secure protocols.  Platform security.

 Tamper detection/prevention.

Key question: what are you trying to protect?

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The Cost of Security Differs Across Market Segments

“Value” of Attack • Reward ($$$ or fun).

Complexity & Cost of Countermeasures

• Technical challenge. e-Passport Mobile/STB DRM

Mobile e-Commerce

e-Banking

Smart metering

“Cost” vs. “Risk” • Time spent.

• Cost of equipment.

Wearables and Smart Home

• Expertise required.

• System access.

Platform Security

• Legal implications.

Cost & Reward of Attack

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• Terrorism.

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Security Threats are a Top Concern for IoT Developers Security Must Be Addressed at All Levels and Begins at the Processor • Communication

Network Level

Chip Level

•

Communication attacks

•

Software attacks

– Sniffing of sensitive data (passwords).

•

Software attacks

•

Invasive Hardware attacks

– Direct remote attacks (backdoors).

– Indirect remote attacks (remote nodes).

Network

Device

Chip

• Software – Malware (viruses, rootkits).

– Exploit of buffer/stack overflows.

– Privilege level tampering.

• Hardware •

Software attacks

– Non-invasive (debug ports, side channel).

•

Non-invasive hardware attacks

– Invasive (decapsulation, probing).

Device Level

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Synopsys Confidential Information

IoT Application Domains

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Top Industries Key for IoT Applications

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IoT – Smart …

Smart Thing

Smart CityEnvironment

• Understands the environment • Manages data and transforms to Info • Connects to the world • Protects your data • Is energy efficient

• Infrastructure to improve traffic and municipal services • Smart grid • Intelligent, adaptive smart lighting • Smart buildings • Reducing waste

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Smart Home • Control of heating, aircon, appliances, locks and alarms • Smart meters to connect homes to the smart grid • More energy efficiency, convenience, comfort and security

Smart Driving • Making driving safer for the driver and car occupants and for other road users • Improving power and fuel efficiency • Moving towards electric vehicles • Connected driving experience

Smart Industry • More efficient factories • More flexibility and customization • More sustainable production • Safer working environment • Better manmachine cooperation

Smart Home • Remote Monitoring/Control (Appliances) • Safety –When do the doors open/close?

• Energy Management –Turn off the lights/AC?

• Maintenance –Are the sinks/pipes leaking?

• Entertainment Control • ….

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Smart Home – The Potential • Air conditioning - 30% energy saving – From analog to digital – From AC to BLDC control

• Refrigerator – 40% energy saving – From on-off control to PWM

• Light and dimming – 25% energy saving – From on-off ligth to PWM dimming

• Washing machine – 40% energy saving – From class D to class A++

• Electronic lighting – 80% energy saving – From bulb lamps to tube lamps and LED

• Digital consumer power supply – 77% energy saving – Increasing efficiency above 98% in run mode – Decreasing stand-by power to < 1mW © 2018 Synopsys, Inc.

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Smart Grid • Utility companies use IoT to improve –asset performance –reduce costs –infrastructure management, –lower supply chain risks and –empower employees and consumers –More efficient and proactive maintenance

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Waste Management in Smart Cities

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Smart Shopping

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Smart Health

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Smart Health – How Well Do I Sleep?

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Smart Geolocalization 200M TEU Travel the World at Any Point in Time, 10K Get Lost Every Year

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APY Low Power (1-Year Battery) Geolocation, CES 2015; Source: Abeeway, Meylan, France

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Industry 1.0, 2.0, 3.0, and 4.0

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The Industrial Revolutions

1.0

2.0 Š 2018 Synopsys, Inc.

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4.0

Industrial Revolutions (1.0) Britain, Textile, Train/Ship; (2.0) U.S., Manufacturing, Car/Airplane (3.0) Western World, Services/Communications, Automation

Industry 2.0 Electricity/Oil Assembly Lines

Industry 1.0 Steam

Industry 3.0 Computers IT 1750 Š 2018 Synopsys, Inc.

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1800

1850

1900

1950

2000

2050

Industrial Revolutions (4.0) Everywhere, Everything (*Smart* Everything), Autonomous Systems Man-Machine Interoperability

â&#x20AC;&#x153;The essence of the industry 4.0 vision, the internet of things, is the ubiquitous connection of people, things and ma-chines. This connection is intended to produce a variety of new goods and services. Products, means of transport, or tools are expected to negotiate within a virtual marketplace regarding which production elements could best accomplish the next production step. This would create a seamless link between the virtual world and the physical objects within the real world.â&#x20AC;?

Industry 4.0 Internet Cyber-Systems

1950

2000

2050 Source: D. Wegener, Siemens, Industry 4.0 Project Coordinator, 2015

Industry 1.0 Through 3.0 Explained From (1.0) Benz Patent-Motorwagen (25 Configurations, 25 Cars Manufactured) To (3.0) Mini (10 Million Configurations, 3 Million Cars Manufactured) # of Cars Manufactured

Industry 1.0 25 Configurations 25 Manufactured Š 2018 Synopsys, Inc.

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Industry 2.0 1 Configuration 16M Manufactured

Industry 3.0 10M Configurations 3M Manufactured

# of Different Configurations

Industry 4.0 Explained Durum Wheat Semola + Water + 3D-Printer at Home + 3D-Design from the Internet Indeed, a Great Deal of Opportunity!

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Source: https://www.youtube.com/watch?v=oz6D1FXwuvA, Barilla, EXPO 2015

Similar Concepts • Industrial Internet • Smart Factory • Factories of the Future • Industry 4.0 • Advanced Manufacturing

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Agriculture 4.0 30% Fertilizer Reduction, Higher Yield, Better Quality IR Camera + MCU + RF +â&#x20AC;Ś Airborne + Variable Rate Fertilization

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Source: Salt & Lemon Srl + A.C.R. Progetti Srl + Studio Associato Barbieri & Rognoni, 2016

Breeding 4.0

Monitoring Cows near Gal’ed (Even Yitzhak), Israel MCU + Sensors + GPS + RF + Solar Panels +… Google Maps

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Courtesy of A. Gat, Moonitor Cows, Israel, 2015

Mining 4.0 Autonomous Haulage System (Driverless Trucks) ~ 70 Trucks, > 4 Million Kilometers Driven, > 400 Million Tons Iron Ore Hauled

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Pilbara, Western Australia; Source: G. Lilleyman, Rio Tinto, 2015

Mining 4.0 AutoHaulÂŽ (Driverless Trains) 2,000 Km, 190 Locomotives, > 350 Million Tons Iron Ore Hauled per Year

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Pilbara, Western Australia; Source: G. Lilleyman, Rio Tinto, 2015

Transportation 4.0 Car Sharing in Rome, Italy (1 Car per 100 Customers) Enjoy Is in the Cloud, Your Smartphone App Is on the Edge, and the Car Is the “Thing”

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Source: Enjoy, 2015

Smart Industry – Key Trends • Next level of automation with distributed control.

• Safer working environments and new man-machine interaction models.

• Higher energy efficiency for industrial machinery.

• Capture and exploitation of manufacturing data • Artificial intelligence and machine learning

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Smart Industry – Key Applications • Smart manufacturing.

• Factory automation.

• Condition monitoring and predictive maintenance.

• Smart motion/motor control.

• 3D printing.

• Power and energy management.

• Industrial robots.

• Industrial lighting.

• Sensors for industrial. Medical, aerospace, and defense.

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From Preventive to Predictive Maintenance

Data collection + processing + analytics Security: authentication

Sensing

Equipment to be monitored Actions

Secure communication

Person Person

Maintenance Person

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Decisions Actions

Implementing an IoT Strategy

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Implementing an IoT Strategy • Define business goals and the expected outcome –Success depends on the clarity of the problem.

–Stakeholders should identify the expected outcome and the success key metrics.

–It is important to know how the solution will impact – Productivity.

– Efficiency.

– Customer satisfaction.

–It is important to define key performance indicators.

• Identify the hardware and devices participating in the solution –Partner with an OEM based on business goals and expected outcome.

–Combine existing components with specific components

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Implementing an IoT Strategy • Prepare the data points and metrics aligned with the outcome –Sensors produce data points and massive datasets –Need to identify the right data points that contribute to the metrics –Some data points need to be analyzed in real-time

• Define the device connectivity and data format –The solution deals with a variety of connectivity mechanisms and protocols.

–Includes how the sensors and actuators talk to legacy devices, and the edge layer.

–It is important to clearly define the right combination of transport and data format protocols.

• Implement security, governance, and policy across each layer –Security is critical for IoT. –Datasets must be anonymized, encrypted and compressed before processing –Governance model is required to restrict access to sensitive data and reports.

–Policies define roles and individuals © 2018 Synopsys, Inc.

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Implementing an IoT Strategy • Identify reference datasets required for transforming sensor data –Datasets generated are meaningful when the right context is applied.

–Context is often borrowed from external datasets containing historical trends.

• Factor in machine learning and predictive analysis –Real value of IoT is performed through actionable insights based on intelligent algorithms.

–Machine learning and predictive analysis will become critical in the future.

• Define hot path analysis for near real-time processing –Individual data points need to be monitored and analyzed as they are generated.

–Anomalies for example should be detected within milliseconds.

–Healthcare demands real-time processing

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Implementing an IoT Strategy • Define cold path analysis for long-term, batch processing –A subset of sensor data needs to be acquired, aggregated, processed, and analyzed to find historical trends and patterns.

–Data pipeline responsible for transforming, storing, processing, and analyzing long term data points is called cold path analytics.

–It is crucial to segregate the data points for long-term archival and batch processing.

• Design an intuitive user experience for business decision makers –IoT solutions will have two kind of users: operators managers and decision makers.

–Operation managers supervise the devices layers through the solution.

–Decision makers depend on data-driven insights to make decisions.

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Market Predictions

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IoT – IDC Predictions

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IoT Advancements Installed IoT devices (thousands of millions)

12

6

Economical impact in 2025: 4 -11 billions dollars

4

McKinsey, 2014

10 8

2 0 2013

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2014

2015

2016

2017

2018

2019

Asia/Pacific

Latin America

North America

Western Europe

79

2020

The Rise Of The Internet Of Things !

Silicon Valley, CA, USA, Connected Things Map  Energy,  Environment,  Home,  Transportation,…

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Source: Thingful Ltd., 2017

The Rise Of The Internet Of Things !

What about us?  Energy,  Environment,  Home,  Transportation,…

Santiago

Lima

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Buenos Aires

Source: Thingful Ltd., 2017

Sao Paulo

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Source: Internet of Things â&#x20AC;&#x201C; Business Models, Mohit Agrawa, March 2017

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Source: Internet of Things â&#x20AC;&#x201C; Business Models, Mohit Agrawa, March 2017

CES 2017 Winners

IoT – What’s Happening World's largest DDoS Attack launched from hacked Smart Devices – Sep 2016

Popular IoT Products

Facial, Voice, Motion Sensing

Adding Cellular

Segments & Applications

2016 (per yr)

Future

B2B Connections

430Mu

1.2Bu in 2020

Smart City

115Mu

400Mu in 2020 1.2Bu in 2025

- LPWAN

4Mu

152Mu in 2025

Smart Homes

100-200Mu

500-700Mu in 2020

- Amazon Echo/Dot

8.6Mu

41.3Mu in 2020

- Social Robots

6.6Mu

31Mu in 2020

Wearables

90Mu

200Mu in 2020

- AR/VR Headsets

5Mu

45Mu in 2020

- Healthcare Wearables

2Mu

98Mu in 2021

Drones

7.3Mu

50Mu in 2020

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Smart Waste Bin

Verizon Hum Diagnostics & Telematics

Assisting Stroke Patients Task-Oriented Training

Augmented Reality

Bluetooth Sleep Monitor

Location Monitoring Dog Collar

Social Robot

IoT, The Market of the “Things” IoT in 2020…

• • • • • •

5B people connected 33B things connected $309B revenue opportunity 30% growth in semiconductor 55% growth in security 50% growth in Smart Houses and Wearables • 50% growth in startups

Where is the innovation……

• Mobile drives interoperability • Commerce/Goverment drives security • Wearables drive energy efficiency Source: Linley Group © 2018 Synopsys, Inc.

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Billions of “things” 30000 20000 2013 10000

2020

0 Smart Phones, Tablets

Units Smart Farm Smart City Smart Buildings Smart Meters Other Industrial Smart Home Smart Appliance Wearables Total

IoT

2014 8 1 24 95 11 30 26 14

2019 80 13.6 240 111 58.8 538.2 262.5 414

2023 96 19 336 117 70 777 473 598

209.51

1718.1

2485.94

IoT Trends (2016~2020) Market Features Process Technologies WiFi Bluetooth Cellular

Current

2017

2018

Sensor Hubs Audio / Voice Security

Vision Context Awareness Embedded SIM

Deep Machine Learning

55ULP RF/eFlash 28nm

40ULP RF/eFlash 28nm/16nm

22/28nm (MRAM) 16nm

802.11ac

802.11ah

4.2 – Security, IPv6

5.0 - Mesh, Long Distance

5.1 – BLE Audio

SigFox, LoRA, Ingenu LTE-M

NB-IoT 5G Trials

NVM Memories © 2018 Synopsys, Inc.

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2020

5G Trials

5G Millimeter Wave

5G Full Release

XIP SPI NAND Flash

Embedded MRAM or other

802.11ax 5G

Type C Audio

USB MIPI

2019

DPHY 1.2/2.0 SoundWire

I3C/SenseWire

OTP/MTP/ROM eFlash Parallel NOR Flash

XIP SPI NOR Flash

Confidential

IoT Market Landscape IoT Market Applications Home IoT Smart Cities Health & Fitness Wearable Infotainment

Industrial IoT Connected Vehicle

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Enabling Technologies

What’s HOT!

Security – new & updated industry standards (USB, WiFi, Bluetooth, Thread, etc.)

Smart Home – Bluetooth 5, Thread + ZigBee 3.0, Smart Cities - LPWAN adoption, LoRA, SigFox, Ingenu, LTE-M, NBIoT Wearables - Augmented Reality for health, maintenance, DIY, & Pokémon GO / Spectacles (SNAP)

Processing

Industrial efficiencies drive investment but must be secure

Energy Harvesting – startups aggressively developing NearThreshold Wireless Sensor Network MCUs

Wireless Conn.

Voice Recognition

Security New Applications (Greenfield) Drones & Social Robots (other Robotics)

What’s HOT!

Energy Harvest

Indoor Location technologies and Real Time Control (low latency) The coming of 5G

Sensory Packaging/PCB

Synopsys Confidential Information

Machine Learning / AI Block Chain

Installed Base of IoT Units By Category (millions of units) • Greater China, North America, and Western Europe will represent 67% of the installed base in 2017 • Consumer applications will represent 63% of IoT installed base in 2017 • Aside from automotive, most common applications will be digital TV and set-top-boxes

Category

2016

2017

2018

Consumer

3,963.0

5,224.3

7,036.3 12,863.6

Business: Cross – Industry

1,102.1

1,501.0

2,132.6

4,381.4

Business: Vertical – Specific

1,316.6

1,635.4

2,027.7

3,171.0

Grand Total

6,381.8

8,360.6 11,196.6 20,415.4

Source: Gartner © 2018 Synopsys, Inc.

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2019

IoT Advancements Installed IoT devices (thousands of millions)

12

6

Economical impact in 2025: 4 -11 billions dollars

4

McKinsey, 2014

10 8

2 0 2013

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2014

2015

2016

2017

2018

2019

Asia/Pacific

Latin America

North America

Western Europe

90

2020

The Rise Of The Internet Of Things !

Silicon Valley, CA, USA, Connected Things Map  Energy,  Environment,  Home,  Transportation,…

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Source: Thingful Ltd., 2017

The Rise Of The Internet Of Things !

What about us?  Energy,  Environment,  Home,  Transportation,…

Santiago

Lima

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Buenos Aires

Source: Thingful Ltd., 2017

Sao Paulo

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