Skip to main content

Over 80% of Business Leaders Feel Optimistic About the Economy, Forecast Larger IT Budgets in 2024

Matt Cloke
Endava

The past few years have presented numerous challenges for businesses: a pandemic, rising interest rates, supply chain disruptions, and geopolitical conflict that sent shockwaves across the global economy. But change may finally be on the horizon. According to a recent report by Endava surveying nearly 1,000 organizational leaders and decision makers across North America and Western Europe, a majority of executives confirmed they are feeling optimistic about the current business climate, and as a result, are forecasting larger IT budgets, increased technology funding and rollout, and prioritized innovation in the coming year.

Image removed.

The report findings point to the importance of focusing on results over hype in today's business climate, as lasting success in business demands a holistic approach, not just one revolutionary idea. And while it's essential for leaders to keep a pulse on emerging trends, it's just as critical to adapt to the ever-changing markets. With today's uncertainties and the quickly evolving technology landscape, innovation, transformation, and optimization are always on the agenda, with technology playing a pivotal role in continuous problem-solving and adaptation.

Technology acceleration is a practice that blends innovative technology with leading methods; leveraging smaller projects that focus on optimization over transformation, while emphasizing composable architectures and iterative engagements. Through this research, Endava aims to provide perspective on the trends and technologies that are contributing to the emergence of technology acceleration, and the role that technology partnerships play in the rollout of this practice.

Other key insights from Endava's Tech Acceleration report include:

A boost to IT budgets

Nearly 75% of the organizations surveyed forecast a yearly IT budget increase, opening up more resources to hire additional staff, explore new markets, and make strategic investments that enable growth and innovation.

Artificial intelligence, big data, and predictive analytics as top priorities

Artificial intelligence (AI), big data, and predictive analytics ranked as top priorities for organizations included in the study. Over 50% of organizations prioritized AI very highly and just 2% said it wasn't a priority at all. Close to 40% prioritized big data and predictive analytics very highly.

When looking at individual technologies, artificial intelligence rose up as the undisputed champion. Nearly 80% of those surveyed regarded it as either a “high” or “very high priority” technology. Currently, interest in AI is exceptionally high, with Generative AI tools such as ChatGPT dominating technology discussions globally.

5G on the rise, again

5G has been a technology that for some time has struggled to take off. Survey findings suggest that interest in 5G is growing again, particularly in Telecom and Mobility. This aligns with a growing consensus of analysts that predict 5G will be a major element of society in the years to come, acting as the backbone across smart cities, connected factories and automotive, and immersive customer experiences.

Innovation over stability

Over half of the respondents (56%) plan to invest in innovation rather than operational stability. More dollars for technology mean that companies can hire additional staff, explore new markets and make strategic investments. When making such IT investments, organizations must balance pursuing operational stability with innovation that will set them apart from their competitors.

Composable architecture

A comparison between Endava's Emerging Tech Unpacked report and this study revealed that awareness of composable architecture and its application to business may be growing. Previous data showed that many organizations lacked a strategy regarding composability and were unfamiliar with it entirely, while data from this study shows that nearly 60% of respondent organizations are prioritizing it highly.

Organizations applying tech acceleration principles often rely on composability, artificial intelligence, big data, 5G, predictive analytics, microservices, and digital ecosystems. But it's critical to remember that technology acceleration encompasses both strategic and technological elements, so organizations looking to apply a similar framework and stay ahead of the competition must adjust more than just their software and hardware to see success, they must also adjust their thinking for the long haul.

Matt Cloke is Chief Technology Officer at Endava

Hot Topics

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Over 80% of Business Leaders Feel Optimistic About the Economy, Forecast Larger IT Budgets in 2024

Matt Cloke
Endava

The past few years have presented numerous challenges for businesses: a pandemic, rising interest rates, supply chain disruptions, and geopolitical conflict that sent shockwaves across the global economy. But change may finally be on the horizon. According to a recent report by Endava surveying nearly 1,000 organizational leaders and decision makers across North America and Western Europe, a majority of executives confirmed they are feeling optimistic about the current business climate, and as a result, are forecasting larger IT budgets, increased technology funding and rollout, and prioritized innovation in the coming year.

Image removed.

The report findings point to the importance of focusing on results over hype in today's business climate, as lasting success in business demands a holistic approach, not just one revolutionary idea. And while it's essential for leaders to keep a pulse on emerging trends, it's just as critical to adapt to the ever-changing markets. With today's uncertainties and the quickly evolving technology landscape, innovation, transformation, and optimization are always on the agenda, with technology playing a pivotal role in continuous problem-solving and adaptation.

Technology acceleration is a practice that blends innovative technology with leading methods; leveraging smaller projects that focus on optimization over transformation, while emphasizing composable architectures and iterative engagements. Through this research, Endava aims to provide perspective on the trends and technologies that are contributing to the emergence of technology acceleration, and the role that technology partnerships play in the rollout of this practice.

Other key insights from Endava's Tech Acceleration report include:

A boost to IT budgets

Nearly 75% of the organizations surveyed forecast a yearly IT budget increase, opening up more resources to hire additional staff, explore new markets, and make strategic investments that enable growth and innovation.

Artificial intelligence, big data, and predictive analytics as top priorities

Artificial intelligence (AI), big data, and predictive analytics ranked as top priorities for organizations included in the study. Over 50% of organizations prioritized AI very highly and just 2% said it wasn't a priority at all. Close to 40% prioritized big data and predictive analytics very highly.

When looking at individual technologies, artificial intelligence rose up as the undisputed champion. Nearly 80% of those surveyed regarded it as either a “high” or “very high priority” technology. Currently, interest in AI is exceptionally high, with Generative AI tools such as ChatGPT dominating technology discussions globally.

5G on the rise, again

5G has been a technology that for some time has struggled to take off. Survey findings suggest that interest in 5G is growing again, particularly in Telecom and Mobility. This aligns with a growing consensus of analysts that predict 5G will be a major element of society in the years to come, acting as the backbone across smart cities, connected factories and automotive, and immersive customer experiences.

Innovation over stability

Over half of the respondents (56%) plan to invest in innovation rather than operational stability. More dollars for technology mean that companies can hire additional staff, explore new markets and make strategic investments. When making such IT investments, organizations must balance pursuing operational stability with innovation that will set them apart from their competitors.

Composable architecture

A comparison between Endava's Emerging Tech Unpacked report and this study revealed that awareness of composable architecture and its application to business may be growing. Previous data showed that many organizations lacked a strategy regarding composability and were unfamiliar with it entirely, while data from this study shows that nearly 60% of respondent organizations are prioritizing it highly.

Organizations applying tech acceleration principles often rely on composability, artificial intelligence, big data, 5G, predictive analytics, microservices, and digital ecosystems. But it's critical to remember that technology acceleration encompasses both strategic and technological elements, so organizations looking to apply a similar framework and stay ahead of the competition must adjust more than just their software and hardware to see success, they must also adjust their thinking for the long haul.

Matt Cloke is Chief Technology Officer at Endava

Hot Topics

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...