Data Age 2025: The Evolution of Data to Life-Critical

2020-02-27 1442浏览

  • 1.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big David Reinsel John Gantz John Rydning April 2017 An IDC White Paper, Sponsored by IDC White Paper © 2017 IDC. www.idc.com Page 1
  • 2.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big EXECUTIVE SUMMARY We are fast approaching a new era of the Data Age. From autonomous cars to humanoid robots and from intelligent personal assistants to smart home devices, the world around us is undergoing a fundamental change, transforming the way we live, work, and play. Imagine being awoken and tended to by a virtual personal assistant that advises you on what clothing from your wardrobe is best suited to the weather report and your schedule for the day or being transported by your self-driving car. Or perhaps you won’t need to commute to an office at all as technology will allow you to conjure workspaces out of thin air using interactive surfaces, and holographic teleconferencing becomes the norm for communicating virtually with colleagues. Weekends may involve browsing new furniture through an augmented reality app and seeing how a sofa looks in your living room before placing an order. As you relax on the new sofa, Saturday night’s takeout will be a pizza made by a robot and delivered in record time by a drone. Data has become critical to all aspects of human life over the course of the past 30 years; it’s changed how we’re educated and entertained, and it informs the way we experience people, business, and the wider world around us. It is the lifeblood of our rapidly growing digital existence. This digital existence, as defined by the sum of all data created, captured, and replicated on our planet in any given year is growing rapidly, and we call it the “global datasphere”. In just the past 10 years society has witnessed the transition of analog to digital. What the next decade will bring using the power of data is virtually limitless. While we as consumers will enjoy the benefits of a digital existence, enterprises around the globe will be embracing new and unique business opportunities, powered by this wealth of data and the insight it provides. Extracting and delivering simplicity and convenience from the complexity of many billions of bytes – be it through IDC White Paper © 2017 IDC. www.idc.com Page 2
  • 3.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate robotics, 3D printing, or some other yet-to-come technological innovation – will be the order of the day. The opportunities already seem limitless, as does the sheer volume of data these connected devices and services will create. From power grids and water systems to hospitals, public transportation, and road networks, the growth of real-time data is remarkable for its volume and criticality. Where once data primarily drove successful business operations, today it is a vital element in the smooth operation of all aspects of daily life for consumers, governments, and businesses alike. In this white paper, sponsored by Seagate, IDC looks at the trends driving growth in the global datasphere from now to 2025. We look at their implications for people and businesses as they manage, store, and secure their most critical data. IDC forecasts that by 2025 the global datasphere will grow to 163 zettabytes (that is a trillion gigabytes). That’s ten times the 16.1ZB of data generated in 2016. All this data will unlock unique user experiences and a new world of business opportunities. Data Age 2025 describes five key trends that will intensify the role of data in changing ourworld:• The evolution of data from business background to life-critical. Once siloed, remote, inaccessible, and mostly underutilized, data has become essential to our society and our individual lives. In fact, IDC estimates that by 2025, nearly 20% of the data in the global datasphere will be critical to our daily lives and nearly 10% of that will be hypercritical. • Embedded systems and the Internet of Things (IoT). As standalone analog devices give way to connected digital devices, the latter will generate vast amounts of data that will, in turn, allow us the chance to refine and improve our systems and processes in previously unimagined ways. Big Data and metadata (data about data) will eventually touch nearly every aspect of our lives — with profound consequences. By 2025, an average connected person anywhere in the world will interact with connected devices nearly 4,800 times per day — basically one interaction every 18 seconds. IDC White Paper © 2017 IDC. www.idc.com Page 3
  • 4.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate • Mobile and real-time data. Increasingly, data will need to be instantly available whenever and wherever anyone needs it. Industries around the world are undergoing “digital transformation” motivated by these requirements. By 2025, more than a quarter of data created in the global datasphere will be real time in nature, and real-time IoT data will make up more than 95% of this. • Cognitive/artificial intelligence (AI) systems that change the landscape. The flood of data enables a new set of technologies such as machine learning, natural language processing, and artificial intelligence — collectively known as cognitive systems — to turn data analysis from an uncommon and retrospective practice into a proactive driver of strategic decision and action. Cognitive systems can greatly step up the frequency, flexibility, and immediacy of data analysis across a range of industries, circumstances, and applications. IDC estimates that the amount of the global datasphere subject to data analysis will grow by a factor of 50 to 5.2ZB in 2025; the amount of analyzed data that is “touched” by cognitive systems will grow by a factor of 100 to 1.4ZB in 2025! • Security as a critical foundation. All this data from new sources open up new vulnerabilities to private and sensitive information. There is a significant gap between the amount of data being produced today that requires security and the amount of data that is actually being secured, and this gap will widen — a reality of our data-driven world. By 2025, almost 90% of all data created in the global datasphere will require some level of security, but less than half will be secured. As data grows in amount, variety, and importance, business leaders must focus their attention on the data that matters the most. Not all data is equally important to businesses or consumers. The enterprises that thrive during this data transformation will be those that can identify and take advantage of the critical subset of data that will drive meaningful positive impact for user experience, solving complex problems, and creating new economies of scale. Business leaders should focus on identifying and servicing that unique, critical slice of data to realize the vast potential it holds. IDC White Paper © 2017 IDC. www.idc.com Page 4
  • 5.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate From Business Background to Life-Critical Contemporary society generates, uses, and retains amounts of data that would be considered huge — if not unimaginable — by any earlier standard. Yet IDC expects the size of the global datasphere to continue to grow in the coming few years and eclipse what exists today. IDC estimates that in 2025, the world will create and replicate 163ZB of data, representing a tenfold increase from the amount of data created in 2016.This hypergrowth is the outcome of an evolution of computing that goes back decades. As shown in Figure 1, IDC categorizes the creation and use of compute data broadly into three maineras:• 1st Platform (Before 1980). Data resided almost exclusively in purposebuilt datacenters before 1980. Even when people accessed data from remote terminals, the terminals were dumb machines with little, if any, computing power. The data and processing ability remained centralized in mainframes. The purpose of data generation and use was almost entirely business focused. • 2nd Platform (1980 to 2000). The rise of the personal computer and the might of Moore’s law enabled a more democratic distribution of data and computing power. Datacenters evolved from mere data containers to become centralized hubs that managed and distributed data across a slow but developing network to end devices. These devices gained the ability to store and manage data for purely personal use by consumers, and a digital entertainment industry of music, movies, and games emerged. • 3rd Platform (2000 to today). The proliferation of wireless broadband and fast networks encouraged data’s movement into the cloud, decoupling data from specific physical devices and ushering in the era of accessing data from any screen. Datacenters expanded into cloud infrastructure through popular services from Amazon, Google, Microsoft, and others. The distribution of computing power continued with the rise of new device types such as phones, wearables, and gaming consoles. Endpoint devices such as these and traditional PCs still require data to operate, but the necessary data is easily accessible through the cloud, requiring less and less local storage. These trends drive and, in turn, are driven by the increased importance of computing in B2B, B2C, and social interaction. IDC White Paper © 2017 IDC. www.idc.com Page 5
  • 6.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate Figure 1. Evolution of Computing Before 1980 2 1980—2000 2000 to Today Data and compute are distributed 1 Data sits almost exclusively in datacenters Data and compute centralized Datacenters expand role in managing data Quick expansion in entertainment Business-focusedSource:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 3 Datacenters expand to cloud infrastructures Compute continues to be distributed; data begins to contract Add social to the mix This is the state of our data-driven world today. Tremendous advances in the density of computing power and data storage and availability enable entirely new applications and locations for digital technology and services. The resulting demand in turn drives further advances in our ability to collect, manage, process, and deliver data — in context, in step with business workflows, and in the stream of life. The consequence of this recursive cycle is explosive growth in the global datasphere (see Figure 2). IDC White Paper © 2017 IDC. www.idc.com Page 6
  • 7.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate Figure 2. Annual Size of the Global Datasphere 180 160 140 Zettabytes 120 100 80 60 40 20 Data created 0 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025Source:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 Data’s evolutionary role in the world becomes readily apparent in the amount of data created and utilized by different computing platform types over time. Changing usage becomes visible by comparing computing platforms in three locationcategories:• Core refers to designated computing datacenters in the enterprise and cloud. This includes all varieties of cloud computing, including public, private, and hybrid cloud. It also includes operational control centers, such as those running the electric grid or telephone networks. • Edge refers to enterprise-hardened computers/appliances that are not in core datacenters. This includes server rooms, servers in the field, and smaller datacenters located regionally for faster response times. • Endpoint refers to all devices on the edge of the network, including PCs, phones, cameras, connected cars, wearables, and sensors. In percentage of total data creation, endpoints have given considerable ground since 2012 and are expected to continue doing so (see Figure 3). Over the past decade, endpoint growth came from PCs, smart phones, and other consumer devices. Although endpoint growth continues, the largest component of this future growth will be in embedded devices such as security cameras, smart meters, chip cards, and IDC White Paper © 2017 IDC. www.idc.com Page 7
  • 8.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate vending machines, which produce data in small signals. In the meantime, Big Data analytics, cloud applications, and real-time data requirements are pushing faster growth in core and edge platforms. While mobile communication networks continue to improve in speed and reliability, time-sensitive applications that impact the quality of service, or even the sustenance of life, require data fabrics to extend out from the datacenter core to a dynamic enterprise edge. Software-defined storage technology enables rapid creation and migration of edge storage environments wherein the intersection of live data and Big Data analytics occurs, meeting the need of local and mobile analytic workloads. Delivering data in this way will enable seemless and efficient traffic flow management among connected vehicles (e.g., prioritized traffic protocols for emergency response vehicles) or real-time fraud detection or facial recognition for improved security at sporting events or transportation hubs. The growing amount of data creation across an increasing number of connected devices in a mobile, real-time world is a fundamental driver of edge storage. Figure 3. Where Data is Created 100% 80% 60% 40% Core 20% Edge Endpoint 0% 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025Source:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 We see another rapidly changing landscape when evaluating the platforms that generate and ultimately store data (see Figure 4). One of the fundamental realities occurring is the resurgence of the enterprise as a location for data usage. From 1980 to the early 2000s, PCs and entertainment media dominated data creation and consumption. However, with improved network and IP connectivity over time, there is less need for data to be stored locally on PCs and other mobile devices. In IDC White Paper © 2017 IDC. www.idc.com Page 8
  • 9.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate 2010, nearly 50% of data that was stored was for entertainment purposes, resulting from the distribution of a great many DVDs and Blu-ray Discs. As consumer video consumption shifts subsequently to streaming services, the share of storage within enterprise infrastructure rises and entertainment-related device stored data drops. Other shifts reflect the major trends brought about by the 3rd Platform of computing, including mobile, social, Big Data analytics, high definition video, and cloud computing. The rise of cloud storage increases enterprise usage. Mobile devices, although small, rise rapidly through the projected time period as businesses endeavor to deliver data and services to their customers in real time via these devices. Figure 4. Where Data is Stored 100% 80% 60% 40% Mobile Entertainment 20% PCs Enterprise 0% 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025Source:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 The ultimate outcome of the shift to cloud-based, fast-access, and truly mobile data usage is that data has increasingly become a critical influencer for not only our businesses but also our lives in all aspects. Consider the current state of commercial air travel. The airline industry has thoughtfully deployed its every resource — aircraft, gates, runways, flight crew members, and air traffic controllers — to extract optimal capacity from the air travel infrastructure. This highly interdependent system can be vulnerable to domino effects as a hiccup in any part of the system potentially cascades outward, disrupting travel hours or even days later and thousands of miles away. The airline industry has responded by tapping into the data surrounding itineraries, delays, passenger numbers, maintenance records, and weather so that it can anticipate potential IDC White Paper © 2017 IDC. www.idc.com Page 9
  • 10.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate problems and respond immediately and effectively. Some use of this data takes a more traditional approach (such as looking at a route’s on-time arrival record when planning any given aircraft’s allocation as a resource), but airlines use this data in real time more and more to adjust to contingencies as they arise. Increasingly, data usage is being analyzed by its level of criticality as indicated by factors such as the need for real-time processing and low latency, the ad hoc nature of usage, and the severity of consequences should the data become unavailable (e.g., a medical application is considered to be more consequential than a streaming TV program). IDC estimates that by 2025, nearly 20% of the data in the datasphere will be critical to our lives and 10% of that will be hypercritical (see Figure 5). It’s one thing to lose a spreadsheet because of a PC crash; it’s another to cause physical harm because of errant data in a self-driving car. These events are not about business reputations but instead about business existence. The emergence of hypercritical data must compel businesses to develop and deploy data capture, analytics, and infrastructure that delivers extremely high reliability, bandwidth, and availability; more secure systems; new business practices; and even new legal infrastructures to mitigate exposure to shifting and potentially debilitating liabilities. Figure 5. Data Criticality Over Time 70 60 Zettabytes 50 40 30 Potentially Critical 20 Critical 10 Hyper-Critical 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 Data Type CAGR 2015 to 2025 All Data. Includes all data in the global datasphere. 30% Potentially critical. Data that may be necessary for the continued, convenient operation of users’ daily lives 37% Critical. Data known to be necessary for the expected continuity of users’ daily lives. 39% Hypercritical. Data with direct and immediate impact on the health and wellbeing of users. (Examples include commercial air travel, medical applications, control systems, and telemetry. This category is heavy in metadata and data from embedded systems.) 54%Source:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 IDC White Paper © 2017 IDC. www.idc.com Page 10
  • 11.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate Embedded Systems and the Internet of Things In earlier periods, data growth stemmed largely from the rise of the personal computer and the consumption of digital entertainment. The world today contains more consumer devices (PCs, phones, game consoles, and music players) than human beings, and all these devices need data to operate. However, by now, the conversion from analog film and TV to digital is largely complete. The switch from discrete consumption units such as DVDs to streaming services will continue to drive some growth, as will the industry’s evolution to higher-quality content (e.g., 4K or 8K video). The embedding of computing power in a large number of endpoint devices has become a key contributor to data growth in our present era. Today, the number of embedded system devices feeding into datacenters is less than one per person globally, and over the next 10 years, that number will increase to more than four per person. While data from embedded systems tends to be very efficient compared with data from entertainment and other consumer usage, the number of files generated will be very large, measuring in the quintillions per year. To put that number in perspective, it would take Niagara Falls 210,000 years to move one quintillion gallons of water. All these embedded devices creating data fuel the growth and value of Big Data applications and metadata. One example of a metadata application is Netflix’s use of viewer data. By monitoring preferences in viewing choices (such as preferred actors or genres), Netflix is able to tailor its suggested movie lists to match subscribers’ demonstrated desires. The Netflix original series House of Cards is a good example. The observed popularity among Netflix customers of actor Kevin Spacey, director David Fincher, political thrillers, and the British series of the same name contributed to greenlighting the creation of the Netflix version, and its subsequent success testifies to the strength of this approach. The data from most embedded devices is less readily visible than your Netflix queue, but these devices still produce data about their operation, which is immensely helpful to the larger systems of which they are a part. Systems like shopping malls, traffic grids, and cellular networks produce huge numbers of raw data points, which in turn generate metadata about themselves. This metadata is the data that not only enables ongoing operation and improvement of the system but also helps define context in other analyses. Disney theme parks’ MagicBand has utility for the park visitor as it acts as a combination of park pass, room key, and charge account — all IDC White Paper © 2017 IDC. www.idc.com Page 11
  • 12.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate in a convenient form factor. It’s also a source for valuable data that Disney can use to help optimize — and monetize — its parks. Not only does the MagicBand yield data at the level of the individual, for example, establishing that this person is allowed to enter a park or open a room door, but it also offers the chance for very rich analysis of metadata around how park visitors move about and use the park and adjoining facilities and how this behavior changes in response to stimuli Disney may provide. As there are many types of devices generating data, IDC segments the global datasphere into four major classifications (see Figure 6). The data type categoriesare:• Entertainment. Image and video content created or consumed for entertainment purposes. • Non-entertainment image/video. Image and video content for nonentertainment purposes, such as video surveillance footage or advertising. • Productivity data. Traditional productivity-driven data such as files on PCs and servers, log files, and metadata. • Embedded. Data created by embedded devices, machine-to-machine, and IoT. Figure 6. Data Creation by Type 180 160 140 120 100 80 Embedded 60 Productivity data 40 Non-Entertainment image/video 20 Entertainment 0 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025Source:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 IDC White Paper © 2017 IDC. www.idc.com Page 12
  • 13.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate The mix of data creation by type has been changing over time (see Figure 7). A sharp decrease in entertainment data in total share and the rise of productivity and especially embedded data in our lives to come are readily seen by analyzing the share of data creation by type. Figure 7. Data Creation Share by Type 100% 80% 60% 40% Embedded Productivity data 20% Non-entertainment image/video Entertainment 0% 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025Source:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 By 2025, embedded data will constitute nearly 20% of all data created — threequarters the size of productivity data and closing fast. Productivity data comes from a set of traditional computing platforms such as PCs, servers, phones, and tablets. Embedded data, on the other hand, comes from a broad variety of device types,including:• • • • • • • • • • • • • • • Security cameras Smart meters Chip cards RFID readers Fueling stations Building automation Smart infrastructure Machine tools Automobiles, boats, planes, busses, and trains Vending machines Digital signage Casinos Wearables Medical implants Toys IDC White Paper © 2017 IDC. www.idc.com Page 13
  • 14.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate All these embedded devices will radically increase the average person’s level of interaction with data, changing the user experience. This tendency is visible already in a platform like Facebook, which tunes content and ad streams based on each individual’s propensity to interact with specific types of content. The average rate per capita of data-driven interactions per day is expected to increase 20-fold in the next 10 years as our homes, workplaces, appliances, vehicles, wearables, and implants become data enabled (see Figure 8). Figure 8. Interactions per Connected Person per Day Number of interactions/capita/day 85 218 2010 2015 4,785 601 2020 2025Source:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 Much of this interaction will fade into the background as intelligent assistants like the Amazon Echo and intelligence built into cars become part of the environment with which consumers habitually interact — increasing to one interaction every 18 seconds, on average. The ultimate impact of this explosion in data interactions will be profound and lead to irreversible changes in society and in the fabric and quality of the average person’s daily stream of life. Despite having a profound impact on daily life, the vast majority of the global datasphere is used and discarded rather than stored. This is primarily a reflection of the fact that most data is fundamentally disposable once it has been used or transferred. To go back to the earlier example of streaming video, there is no reason to store the content of each individual streaming session for the same program. Here is where metadata comes into play. The streaming service needs to retain merely the knowledge of that specific video-viewing event. This knowledge can be reasonably sophisticated, including when and for how long the show was paused or fastforwarded and whether or not the viewer watched the full show and on which device (or devices). Nonetheless, this metadata — the set of data potentially useful to the IDC White Paper © 2017 IDC. www.idc.com Page 14
  • 15.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate streaming service — is many orders of magnitude smaller than the original streaming event. This approach represents an efficiency lesson taken from the previous decade of data growth. From the huge amount of data created we are prioritizing which data has sufficient value to be stored. Similarly, IoT devices are likely to generate a great deal of data without the need for long-term retention after analysis. Take the example of video surveillance cameras. Cameras create extremely rich data in the form of video. Typically, there will be a baseline of video capturing normal behavior that carries a very small retention requirement along with a subset of incidents that need to be available in the future. Among the data generated by a traffic camera, local transportation authorities value the video of traffic violations or abnormal traffic and can discard the regular, lawful flow of traffic after creating appropriate metadata. For a casino video surveillance system, casino operators value and retain only episodes of suspicious behavior, while the rest is safe to discard after creation of metadata and an appropriate period of time. In both of these examples, we see the application of smart criteria to which data to retain, in what form, and for how long. That way we can hang onto critical information without the need to store all the data produced. This sort of discerning data retention policy is a hallmark of current best practices in data retention. The result is that the quantity of data generation can and will continue to outpace any reasonable expectation of our ability to store all of the data. For example, it would take roughly 16 billion of today’s largest 12TB enterprise HDDs to store the 163ZB data expected to be created in 2025. To put that into perspective, over the past 20 years, the disk drive industry shipped 8 billion HDDs and nearly 4ZB of capacity. Of course, there will always exist ample opportunities to store more data, whether it is from unforeseen Big Data applications that result in more data tagging of the global datasphere or because of new data retention regulations that come into existence. Regardless, based on current expectations, data storage demands are poised to continue their aggressive growth with no end in sight. IDC expects that to keep up with Data Age 2025 projections, storage capacity shipments across all media types (HDD, flash, tape, optical, and DRAM) over the next 4 years (2017–2020) will have to surpass the 5.5ZB shipped across all media types over the past 10 years. In fact, IDC White Paper © 2017 IDC. www.idc.com Page 15
  • 16.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate the Data Age 2025 research projects that over 19ZB of storage capacity must ship across all media types from 2017 to 2025 to keep up with storage demands. Around 58% of the capacity will need to come from the HDD industry and 30% from flash technology over that same time frame. Mobile and Real-Time Data These increases in connectivity place a premium on mobile access and real-time responses. The number of people connected worldwide grew fivefold between 2005 and 2015. Over the same time period, mobile phone usage outpaced PCbased internet usage, particularly in geographies with little or no physical Internet infrastructure. By 2025, connected users will number 75% of the world’s population, including previously unconnected groups like young children, the elderly, and people in emerging markets. Mobile data (Figure 9) and real-time data (Figure 10) both show strong growth in the years to come. While mobile holds its own as a percentage of data created, real-time data will grow at 1.5 times the rate of overall data creation. Real-time data usage may involve mobile devices, but doesn’t have to. For example, automated machines on a manufacturing floor, though fixed, depend on real-time data for process control and improvement. In fact, the overwhelming majority of real-time data use will be driven by IoT devices (Figure 11). Figure 9. Mobile Data 30 20% Zettabytes 25 15% 20 15 10% 10 5% 5 0 0% 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025Source:IDC’s Data Age 2025 study, sponsored by Seagate, April 2017 IDC White Paper © 2017 IDC. www.idc.com Page 16 % of Total Global Datasphere Mobile Data
  • 17.Data Age 2025: The Evolution of Data to Life-Critical Don’t Focus on Big Data; Focus on the Data That’s Big Sponsored by Seagate Zettabytes Figure 10. Real-Time Data 50 45 40 35 30 25 20 15 30% 10 5 0 5% 25% 20% 15% 10% 0% 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025Source:'>Source: