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Who Are the Tech Purchase Decision-Makers?

Pete Goldin
APMdigest

IDG Enterprise's 2015 Role & Influence of the Technology Decision-Maker research reveals how organizations set technology strategy, the individuals involved in technology purchase decisions and the resources used to stay in the know on technology transformation. Collaboration continues to be a key theme as business executives set the organizational strategy and IT executives lead teams to build and execute plans to help advance the organization.

Who is Leading Tech Purchase Decisions?

Technology is a driving force for organizational advancement. While the majority of organizations (55%) maintain a centralized model where the CIO oversees technology purchases, the widespread use of technology is opening the door for a federated model where some budgets and decisions are centralized but others are distributed within the organization (37%). Enterprise organizations (1,000+ employees) are divided between centralized (42%) and federated (50%) approaches. Additionally, a handful of organizations are decentralized (8%), allowing IT business units to manage their technology projects and spending independently.

No matter which organizational model is adopted, collaboration continues to be a key theme, and technology executives continue to take the lead on authorizing purchases. On average, technology decision-makers collaborate with 3.4 title sets on a regular basis. Throughout the purchase process involvement varies as multiple groups share responsibility for finding and selecting the right solution to align with business needs.

Spending Time with Tech-Based Resources & Video

As technology shifts, understanding what is new is vital to business advancement. Technology decision-makers have embraced self-education when staying up-to-date on technology, from visiting tech content sites (74%), reading white papers (62%), talking with peers outside their organization (60%), and watching webcast/webinars/web videos (60%). The sources used vary throughout the purchase process, but technology content sites and peers (through a variety of channels) remain consistent resources.

Technology can often be complex and video is a great tool for explaining solutions. It is not surprising that 93% of technology decision-makers have watched a tech-related video in the last 3 months. Video also encourages additional action from researching a product (67%), visiting a vendor website (56%), or sharing the video with colleagues (40%). While half of technology decision-makers (47%) feel that video quality is important, numerous video options allow technology vendors to test the waters.

Emerging Vendors and Strategic Partners

Technology advancements have built efficiencies within technology environments, sometimes with resulting budget savings. The majority (58%) of technology decision-makers can reallocate those savings which opens the door for both emerging vendors and strategic partners to make a play for those dollars. On average technology decision-makers spend 4.11 hours/week with current vendors and 2.14 hours/week with prospective vendors. The majority (68%) spend one hour or less with prospective vendors. Emerging vendors are receiving about a quarter (28%) of the time spent with prospective vendors, showcasing the importance of content marketing to help build a case with self-educating decision-makers.

Tech decision-makers use multiple resources to learn about emerging vendors. Reading about emerging vendors during research, discussions with peers and attending conferences lead this education process, showcasing where emerging vendors should focus their promotions.

On the flip side, since 2011 the number of strategic partners that enterprise organizations rely on has dropped from 6 to 3. Strategic partners are vendors that go beyond effective delivery of systems and services to become a consistently responsive, agile, and trusted collaborator in creating value for your organization. There are many critical factors that play a role in joining this exclusive group, particularly customer service/response time (70%), understanding of business goals (66%), post-sales support (63%), long-term viability of the company (63%), and knowledge of their product portfolio (55%).

Methodology: IDG Enterprise conducted its 2015 Role & Influence of the Technology Decision-Maker survey to gain insight into the evolving structure of IT organizations and the role and influence of tech decision-makers in the purchase process. Results in this report are based on more than 1,200 respondents involved in the technology purchase process. Respondents are IT and security decision-makers across multiple industries that engage with IDG Enterprise brands (CIO, Computerworld, CSO, InfoWorld, ITworld and Network World).

Pete Goldin is Editor and Publisher of APMdigest

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Who Are the Tech Purchase Decision-Makers?

Pete Goldin
APMdigest

IDG Enterprise's 2015 Role & Influence of the Technology Decision-Maker research reveals how organizations set technology strategy, the individuals involved in technology purchase decisions and the resources used to stay in the know on technology transformation. Collaboration continues to be a key theme as business executives set the organizational strategy and IT executives lead teams to build and execute plans to help advance the organization.

Who is Leading Tech Purchase Decisions?

Technology is a driving force for organizational advancement. While the majority of organizations (55%) maintain a centralized model where the CIO oversees technology purchases, the widespread use of technology is opening the door for a federated model where some budgets and decisions are centralized but others are distributed within the organization (37%). Enterprise organizations (1,000+ employees) are divided between centralized (42%) and federated (50%) approaches. Additionally, a handful of organizations are decentralized (8%), allowing IT business units to manage their technology projects and spending independently.

No matter which organizational model is adopted, collaboration continues to be a key theme, and technology executives continue to take the lead on authorizing purchases. On average, technology decision-makers collaborate with 3.4 title sets on a regular basis. Throughout the purchase process involvement varies as multiple groups share responsibility for finding and selecting the right solution to align with business needs.

Spending Time with Tech-Based Resources & Video

As technology shifts, understanding what is new is vital to business advancement. Technology decision-makers have embraced self-education when staying up-to-date on technology, from visiting tech content sites (74%), reading white papers (62%), talking with peers outside their organization (60%), and watching webcast/webinars/web videos (60%). The sources used vary throughout the purchase process, but technology content sites and peers (through a variety of channels) remain consistent resources.

Technology can often be complex and video is a great tool for explaining solutions. It is not surprising that 93% of technology decision-makers have watched a tech-related video in the last 3 months. Video also encourages additional action from researching a product (67%), visiting a vendor website (56%), or sharing the video with colleagues (40%). While half of technology decision-makers (47%) feel that video quality is important, numerous video options allow technology vendors to test the waters.

Emerging Vendors and Strategic Partners

Technology advancements have built efficiencies within technology environments, sometimes with resulting budget savings. The majority (58%) of technology decision-makers can reallocate those savings which opens the door for both emerging vendors and strategic partners to make a play for those dollars. On average technology decision-makers spend 4.11 hours/week with current vendors and 2.14 hours/week with prospective vendors. The majority (68%) spend one hour or less with prospective vendors. Emerging vendors are receiving about a quarter (28%) of the time spent with prospective vendors, showcasing the importance of content marketing to help build a case with self-educating decision-makers.

Tech decision-makers use multiple resources to learn about emerging vendors. Reading about emerging vendors during research, discussions with peers and attending conferences lead this education process, showcasing where emerging vendors should focus their promotions.

On the flip side, since 2011 the number of strategic partners that enterprise organizations rely on has dropped from 6 to 3. Strategic partners are vendors that go beyond effective delivery of systems and services to become a consistently responsive, agile, and trusted collaborator in creating value for your organization. There are many critical factors that play a role in joining this exclusive group, particularly customer service/response time (70%), understanding of business goals (66%), post-sales support (63%), long-term viability of the company (63%), and knowledge of their product portfolio (55%).

Methodology: IDG Enterprise conducted its 2015 Role & Influence of the Technology Decision-Maker survey to gain insight into the evolving structure of IT organizations and the role and influence of tech decision-makers in the purchase process. Results in this report are based on more than 1,200 respondents involved in the technology purchase process. Respondents are IT and security decision-makers across multiple industries that engage with IDG Enterprise brands (CIO, Computerworld, CSO, InfoWorld, ITworld and Network World).

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...