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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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Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

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

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...