In this module, we will take a look at the five largest IIoT market application areas. Then, we will move on to studying what the key operating systems are that are currently in use and those that have the potential to trend upwards. We're going to take a look at the five largest Industrial Internet of Things market application areas. In the operating systems portion of the material, we'll dig into what OSs are at play in the IIoT space. Five markets by application are Automotive and transportation, industrial/manufacturing, building automation, oil and gas, the energy sector, and agriculture, and of course, the OSs that I mentioned before. Previously, we saw this slide from the market group research report. If you've just seen this now for the first time, this color represents an estimate that they made for 2016. This color represents a projection to 2022. That's a typo there, it say 2022. The dash e is the expected, they had partial data for 2016 and they're making these predictions out to 2022. I added these arrows to highlight areas that we're going to look at in a little more details, so Automotive and transportation, expective huge growth. We're all aware of self-driving cars and the initiative by various companies you're aware of, but there's a lot more happening in the Automotive and transportation than self-driving cars. Later in this semester, I plan to do a deeper dive and look at logistics and shipping and trucking and all of that is all in this Automotive and transportation area. There's a lot of stuff happening there. Industrial expected to grow to $113 billion US. Did I get the units right?Yes, $113 billion by 2022. This is manufacturing sector. Building automation, we'll look at that. It's expected to grow to $100 billion. Oil and gas, close behind it at $91, $92 billion, and agriculture almost $40 billion. This is an excerpt from the market report research report. Building automation segment is expected to be driven by a huge demand for energy efficient solutions, enhanced security, and enabling building systems. Connectivity technologies will be huge here and used in this segment. It include technologies called ZigBee, Z-Wave, EnOcean, Wi-Fi, and Bluetooth, and there's more, we'll see when we get into wireless communication. Industrial segment cover sensors, actuators, software that enable connectivity between machines in an industrial environment. This is an area of major interest to big industrial Automotive companies such as Honeywell, GE, and Siemens. I've mentioned GE and their platform, we looked at it a little bit when we saw platforms, an ecosystem called Predicts. Automotive and transportation speaks for itself. Agriculture, there's a tremendous amount of work and development advancement that's taking place in the agricultural segment. It covers wireless sensors are used to measure important parameters such as soil temperature, humidity, pressure, and in a number of factors that are taking place out in an agricultural setting. Then, the oil and gas segment is enormous as well. Here's an excerpt from the Automotive and transportation section quote, "The Automotive and transportation segment covers connected cars and intelligent transportation systems. These include sensors, communication, traffic control technologies. These technologies assist states, cities, towns across the globe to meet the increasing demand for surface transportation systems. Vehicle detection and surveillance technologies are an integral part of these ITS systems as they gather all or part of the data used in intelligent transportation system and are being improved continuously to provide enhanced speed monitoring, traffic counting, presence detection, headway measurement, and vehicle classification." Connected cars are equipped with devices that will enable Internet access inside a car and allow it to communicate with other cars on the road, and infrastructure that includes traffic stop signals, satellites, Cloud-based services, and roadside antennas among others are likely to witness greater adoption in the near future. The market for connected cars is expected to grow exponentially in the near future, which can be gauge from the fact that tech giants from Apple and Google and others are big players are trying to be big players in the Automotive market along with Volkswagen, Nissan, Mercedes, and others. They've already launched connected prototypes in this market. In 2014, AT&T introduced connected car service in participation with a number of automobile manufacturers including Audi, GM, Volvo that offer high-speed 3G or 4G connections for a monthly subscription fee for just $10 US. Looking at productions from 2013 to our 2022, can see platform software solutions and services is pretty much king here. $12.5 billion US. These are real numbers, the estimate was almost 30 billion for 2016 and working their way upwards towards almost $152 billion US by 2022, and CAGR stands for compound annual growth rate. Almost 32 percent compound annual growth rate year on year growth. So, a lot of revenue can be generated for platform software solutions and services and I said, I think in the first week wherever you see these large numbers is opportunity for you for employment. There's tremendous opportunity in this space. Huge opportunity in this space. When I got the report, I was hoping to see, I'm a hardware guys. I'm a 30-year chip designer and I was expecting to see higher numbers on the hardware side, but these are still respectable numbers, but it's the software and the platforms that pull all these pieces together that bring them to life and enable value. I think that's why we're seeing in this estimate this Delta between software solutions and services platform and so forth when compared to the revenue for the hardware. This figure shows conductivity technology segment to dominate the IoT technology market in the Automotive space. So, in 2016 it was, let's see, this is in US million, so about $1.3 billion expected to grow to $2 billion in 2022. Processors, hardware, the CPUs, see their numbers. Interestingly, the sensors are relatively small in this space. So, it's conductivity and that's processing in the Automotive sector. Here, they break out the hardware in US dollars and millions for microcontrollers, DSPs, FPGAs, and memory chips. It just happened to be the way they decided to slice the hardware data and present it. You see microcontrollers, CPUs, are very large chunk and continuing to grow up to US $543 million in 2022. So, here's a short video in the Automotive and Transportation, and technology failed. The Internet of Things is changing our world. This vast, rapidly growing network of devices enables us to sense our world far beyond the walls of businesses. Interconnecting things coming together at scale in real time build a high resolution awareness of what's happening all around us, and alert us to what should be happening, but is it? Applying smart analytics to this flood of big data creates fresh insights that can help enable new ways of working, sharing inflammation, and interacting with the world. It can help businesses identify opportunities, proactively anticipate threats, and optimize how our world works. That's also extremely cool. Jane lives in Chicago, and is getting ready to travel to a business meeting in Dallas. From her home, she uses her phone to check the temperature inside of her car, a freezing 25 degrees Fahrenheit. She uses her phone to automatically turn the car on and adjust the heat based on the temperature outside. She continues to get ready for her business meeting while also listening to some music. Moments later, a notification on her phone let's Jane know that her car is ready, and has reached her preferred temperature. She turns off for music in the house, and upon walking outside, uses her phone to unlock the car. Upon entering, her car stereo automatically picks up from the point in the song where it was left off. Her phone uploads the route to the airport onto her car's GPS based on her electronic plane ticket. On route, Jane's car alerts her that there's been an accident on the highway, and she needs to take a different route, for GPS reroutes her on some less traveled back roads to ensure she reach her destination in time. While travelling on the back roads, an alert is sent to the cloud which notifies her another car is around of the potential of black ice. Simultaneously, this alert is sent to government authorities to alert them to deploy salt trucks to help get rid of the ice. Due to the risk of driving fast with ice, Jane's car implements a speed limit to ensure she's safe. All of this happens simultaneously in near real time. Automotive and telecommunication companies are able to decrease the risk to drivers on the road and help insurance companies and government with valuable data insights. Jane finally arrives at the airport parking lot, and with sensors located in the parking bays, her car notifies her where to locate an empty space. Her car pushes a notification to her phone to keep record of where the car is located in the parking lot, so she'll be able to find it easily later on. The airline recognizes that Jane has reached the airport, and the flight is delayed due to weather. They send her shopping coupon to ensure her delayed doesn't ruin her day. The airport recognizes Jane as a VIP of her preferred airline, and as she approaches the kiosk, she sees a personalized welcome greeting confirmation of her boarding gate direction to the lounge and bag drop as her bags are already checked in. The baggage claim ticket is automatically uploaded to her phone. Jane's phone then prompts her if she'd like to send a message to all contacts she's meeting with later in the day to notify them about her delay. She clicks yes, and no longer has to worry about her co-workers wondering about her whereabouts. With near real time updates, airline companies and retailers are able to keep their customers up to speed with the latest information, promotions, and an improved travel experience. With the coupon Jane received from the airline, Jane decides to walk through the airport and shop. While shopping, Jane sees a sweater that she loves. She scans the barcode on her phone and sees that it isn't available in Chicago and her size, but will be available at her destination airport. She uses her coupon and pays for the sweater online. An electronic receipt has mailed to her immediately with a copy to the Dallas store. The airline is notified that Jane has used the coupon, and they send her a message saying they're glad she found something she liked. At the same time, the store in Dallas receives an online transaction notification and keeps the sweater aside for Jane. Their inventory is updated automatically. Jane receives an alert on her phone of the names of the salesperson who will attend to her when she reaches the Dallas Airport. Jane lands in Dallas and locates the right salesperson. She takes her sweater and heads off to her business meeting. Upon arriving, her clients tell her not to worry about being delayed because they received a message from her earlier notifying them she would be late. Retail and distribution companies can ensure customers have access to the products they want when they want them. They're also able to increase sales, maintain balanced inventories, and obtain better returns. When we share insights from data flowing through the Internet of Things, we can transform how we live, work, and play. Let's make the Internet of Things work. Let's build a smarter planet. For more information, please visit our website.
