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IDC 2017 Predictions: Dawn of DX Economy and Rise of Digital-Native Enterprise

International Data Corporation (IDC) announced its worldwide information technology (IT) industry predictions for 2017 and beyond.

IDC has been chronicling the emergence and evolution of the 3rd Platform, built on cloud, mobile, big data/analytics, and social technologies, for nearly a decade. Over the past several years, the adoption of these technologies has accelerated as enterprises commit to the 3rd Platform and undergo digital transformation (DX) on a massive scale. Looking forward, IDC predicts that digital transformation will attain macroeconomic scale over the next three to four years, changing the way enterprises operate and reshaping the global economy. This is the dawn of the "DX Economy."

"We are at an inflection point as digital transformation efforts shift from 'project' or 'initiative' status to strategic business imperative," said Frank Gens, SVP and Chief Analyst at IDC. "Every (growing) enterprise, regardless of age or industry, must become 'digital native' in the way its executives and employees think, what they produce, and how they operate. At the same time, 3rd Platform technology adoption and digital transformation is happening much faster than most expected and early competitive advantages will go to those enterprises that can keep pace with the emerging DX economy."

A closer look at IDC's top ten worldwide IT industry predictions reveals the following:

1. By 2020, 50% of the Global 2000 will see the majority of their business depend on their ability to create digitally-enhanced products, services, and experiences. For industry leaders, the fastest revenue growth will come from information-based products and services. To facilitate the development of these products and services, worldwide investment in DX initiatives will reach $2.2 trillion in 2019, almost 60% more than in 2016.

2. By 2019, 3rd Platform technologies and services will drive nearly 75% of IT spending – growing at twice the rate of the total IT market. This represents a major acceleration from last year's outlook, when IDC predicted that 3rd Platform technologies would account for over 60% of IT spending by 2020. This spending will be fueled by further evolution of the 3rd Platform's core technologies as well as the rapid adoption of Innovation Accelerators such as cognitive/artificial intelligence (AI) systems, augmented reality/virtual reality (AR/VR), and next-generation security.

3. By 2020, 67% of all enterprise IT infrastructure and software spending will be for cloud-based offerings. Today's "cloud-first" strategy is already moving toward "cloud-only." Driving this transition is the fact that almost every enterprise will be a cloud service provider of innovative services to its own marketplace, making cloud capability not just an IT issue, but also a core business operations issue. Just as important, the cloud will morph to become more distributed, more trusted, more intelligent, more industry-focused, more channel-mediated, and more concentrated with the top 5 IaaS/PaaS vendors controlling at least 75% share by 2020.

4. By 2019, 40% of all digital transformation initiatives – and 100% of all effective IoT efforts – will be supported by cognitive/AI capabilities. This is because the flood of data that comes from IoT devices and DX initiatives have limited value without AI technologies that are capable of finding valuable insights in the data. As developer adoption accelerates (by 2018, 75% of developer teams will include cognitive/AI functionality in one or more applications), the stage will be set for a "Battle of AI Platforms" as the competing cloud megaplatforms – including Amazon, Google, IBM and Microsoft – battle for developers in the cognitive/AI space.

5. In 2017, 30% of consumer-facing Global 2000 companies will experiment with AR/VR as part of their marketing efforts. Interfaces are the essential gateway to customer engagement and they are evolving much faster than many have anticipated. IDC expects AR/VR to reach mass adoption levels by 2021, when more than a billion people worldwide will regularly access apps, content, and data through an AR/VR platform.

6. By 2018, the number of Industry Collaborative Clouds (ICCs) will triple to more than 450; by 2020, over 80% of the Global 500 will be digital services suppliers through ICCs. ICCs are cloud-based platforms through which multiple companies in an industry collaborate in some fashion toward a common goal, such as improving industry insight and/or capability. IDC expects these "industry crossroads" to take off over the next several years with ICCs focused on information and data tripling from 50 in 2016 to more than 150 by the end of 2018.

7. By the end of 2017, over 70% of the Global 500 will have dedicated digital transformation/innovation teams. To meet the challenges of the DX economy, enterprises will have to grow their developer teams more quickly – look for growth of 2-3x by 2018. At the same time, the pace of software-based innovation will accelerate – enterprises that embrace DevOps and enabling technologies will increase the number of annual application code releases by 50%. The result will be a dramatic increase in enterprises' ability to monetize the value of software through "things" and services.

8. By 2020, over 70% of cloud services providers' revenues will be mediated by channel partners/brokers. As enterprise use of the cloud becomes more complex, traditional IT channel partners – and a new generation of cloud-capable channel partners – will evolve to provide the help needed to support the expanding variety of cloud users and uses. By 2018, IDC expects major channel partners to have transitioned at least one third of their business from hardware sales to cloud services sales/brokering.

9. By 2020, all enterprises' performance will be measured by a demanding new set of DX-driven benchmarks, requiring 20-100% or better business performance. Competing and thriving in the DX economy means that every enterprise, in effect, must think and operate like a digital native organization. CEOs must have critical technology leadership experience. Growth will come from information-based (digital) products. Customer engagement and operational efficiencies must improve dramatically. Not surprisingly, IDC expects at least one third of every industry's top 20 companies will fail to reach these new benchmarks, thereby opening the door to heightened competition and disruption.

10. By 2020, one third of health/life sciences and consumer product companies will begin to develop the first wave of products and services tightly integrating 3rd Platform technologies with the human body; "Augmented Humanity" offerings go mainstream in the mid-2020s. The integration of digital technologies with human biosystems as well as the use of digital technologies to engineer biological systems at the cellular and sub-cellular level are starting to enter early R&D stages. The next four years are the "proto" period where we’ll see proof of concept/prototype offerings, and the first Amazons, Googles, and Facebooks of the next era are likely to emerge.

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Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

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Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

IDC 2017 Predictions: Dawn of DX Economy and Rise of Digital-Native Enterprise

International Data Corporation (IDC) announced its worldwide information technology (IT) industry predictions for 2017 and beyond.

IDC has been chronicling the emergence and evolution of the 3rd Platform, built on cloud, mobile, big data/analytics, and social technologies, for nearly a decade. Over the past several years, the adoption of these technologies has accelerated as enterprises commit to the 3rd Platform and undergo digital transformation (DX) on a massive scale. Looking forward, IDC predicts that digital transformation will attain macroeconomic scale over the next three to four years, changing the way enterprises operate and reshaping the global economy. This is the dawn of the "DX Economy."

"We are at an inflection point as digital transformation efforts shift from 'project' or 'initiative' status to strategic business imperative," said Frank Gens, SVP and Chief Analyst at IDC. "Every (growing) enterprise, regardless of age or industry, must become 'digital native' in the way its executives and employees think, what they produce, and how they operate. At the same time, 3rd Platform technology adoption and digital transformation is happening much faster than most expected and early competitive advantages will go to those enterprises that can keep pace with the emerging DX economy."

A closer look at IDC's top ten worldwide IT industry predictions reveals the following:

1. By 2020, 50% of the Global 2000 will see the majority of their business depend on their ability to create digitally-enhanced products, services, and experiences. For industry leaders, the fastest revenue growth will come from information-based products and services. To facilitate the development of these products and services, worldwide investment in DX initiatives will reach $2.2 trillion in 2019, almost 60% more than in 2016.

2. By 2019, 3rd Platform technologies and services will drive nearly 75% of IT spending – growing at twice the rate of the total IT market. This represents a major acceleration from last year's outlook, when IDC predicted that 3rd Platform technologies would account for over 60% of IT spending by 2020. This spending will be fueled by further evolution of the 3rd Platform's core technologies as well as the rapid adoption of Innovation Accelerators such as cognitive/artificial intelligence (AI) systems, augmented reality/virtual reality (AR/VR), and next-generation security.

3. By 2020, 67% of all enterprise IT infrastructure and software spending will be for cloud-based offerings. Today's "cloud-first" strategy is already moving toward "cloud-only." Driving this transition is the fact that almost every enterprise will be a cloud service provider of innovative services to its own marketplace, making cloud capability not just an IT issue, but also a core business operations issue. Just as important, the cloud will morph to become more distributed, more trusted, more intelligent, more industry-focused, more channel-mediated, and more concentrated with the top 5 IaaS/PaaS vendors controlling at least 75% share by 2020.

4. By 2019, 40% of all digital transformation initiatives – and 100% of all effective IoT efforts – will be supported by cognitive/AI capabilities. This is because the flood of data that comes from IoT devices and DX initiatives have limited value without AI technologies that are capable of finding valuable insights in the data. As developer adoption accelerates (by 2018, 75% of developer teams will include cognitive/AI functionality in one or more applications), the stage will be set for a "Battle of AI Platforms" as the competing cloud megaplatforms – including Amazon, Google, IBM and Microsoft – battle for developers in the cognitive/AI space.

5. In 2017, 30% of consumer-facing Global 2000 companies will experiment with AR/VR as part of their marketing efforts. Interfaces are the essential gateway to customer engagement and they are evolving much faster than many have anticipated. IDC expects AR/VR to reach mass adoption levels by 2021, when more than a billion people worldwide will regularly access apps, content, and data through an AR/VR platform.

6. By 2018, the number of Industry Collaborative Clouds (ICCs) will triple to more than 450; by 2020, over 80% of the Global 500 will be digital services suppliers through ICCs. ICCs are cloud-based platforms through which multiple companies in an industry collaborate in some fashion toward a common goal, such as improving industry insight and/or capability. IDC expects these "industry crossroads" to take off over the next several years with ICCs focused on information and data tripling from 50 in 2016 to more than 150 by the end of 2018.

7. By the end of 2017, over 70% of the Global 500 will have dedicated digital transformation/innovation teams. To meet the challenges of the DX economy, enterprises will have to grow their developer teams more quickly – look for growth of 2-3x by 2018. At the same time, the pace of software-based innovation will accelerate – enterprises that embrace DevOps and enabling technologies will increase the number of annual application code releases by 50%. The result will be a dramatic increase in enterprises' ability to monetize the value of software through "things" and services.

8. By 2020, over 70% of cloud services providers' revenues will be mediated by channel partners/brokers. As enterprise use of the cloud becomes more complex, traditional IT channel partners – and a new generation of cloud-capable channel partners – will evolve to provide the help needed to support the expanding variety of cloud users and uses. By 2018, IDC expects major channel partners to have transitioned at least one third of their business from hardware sales to cloud services sales/brokering.

9. By 2020, all enterprises' performance will be measured by a demanding new set of DX-driven benchmarks, requiring 20-100% or better business performance. Competing and thriving in the DX economy means that every enterprise, in effect, must think and operate like a digital native organization. CEOs must have critical technology leadership experience. Growth will come from information-based (digital) products. Customer engagement and operational efficiencies must improve dramatically. Not surprisingly, IDC expects at least one third of every industry's top 20 companies will fail to reach these new benchmarks, thereby opening the door to heightened competition and disruption.

10. By 2020, one third of health/life sciences and consumer product companies will begin to develop the first wave of products and services tightly integrating 3rd Platform technologies with the human body; "Augmented Humanity" offerings go mainstream in the mid-2020s. The integration of digital technologies with human biosystems as well as the use of digital technologies to engineer biological systems at the cellular and sub-cellular level are starting to enter early R&D stages. The next four years are the "proto" period where we’ll see proof of concept/prototype offerings, and the first Amazons, Googles, and Facebooks of the next era are likely to emerge.

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...