Skip to main content

US Lags in IT Innovation, Survey Says

The US is behind other nations when it comes to encouraging and rewarding IT innovation, according to a CA Technologies survey.

The global study Why IT Needs to Lead Now: The Innovation Imperative demonstrates the urgent need for many IT organizations to transition from an ad hoc approach to innovation to a more mature, structured method to deliver higher-quality business services faster.

According to the large organizations surveyed, only 28 percent of US respondents said innovation is frequently or widely practiced, compared to 58 percent of European and 45 percent of Asian respondents.

And while 63 percent of worldwide respondents have formal processes to measure innovation success, it is largely ad hoc or nonexistent in the US, with 26 percent of US respondents reporting there is no measurement process in place.

US-based organizations are also facing different obstacles than their international counterparts. When asked about key obstacles to innovation, the US is significantly more likely to cite budget issues (47 percent versus 28 percent in Europe, and 24 percent in Asia Pacific (AP)); information overload/too entrenched in repetitive tasks (43 percent versus 29 percent in Europe and 18 percent in AP); and, lack of an incentive/rewards structure (26 percent versus 19 percent in Europe and AP).

More budget dollars are also spent on maintenance and “keeping the lights on” in the US compared to overseas respondents (73 percent of US versus 63 percent for Europe and 61 percent for AP), limiting the available budget dollars for new projects.

Additionally, US organizations embrace and leverage “technology disruption” far less frequently than their counterparts. Only 17 percent of US respondents indicated that technology disruption projects frequently occur, versus 30 percent and 38 percent for their European and Asian counterparts, respectively.

“In addition to these troubling gaps, the research also tells us that innovation is a critical driver to success given today’s economic pressures, 24x7 connectivity, global market access, lower barriers to entry for competitors, and new expectations from tech-savvy consumers, all of which create unprecedented demands on today’s IT leaders,” said Andi Mann, vice president, Strategic Solutions at CA Technologies.

“Not prioritizing, fostering and rewarding innovation can have dire consequences. It makes organizations less competitive, unable to attract new customers and therefore, less relevant in the market, and it hurts the bottom line.”

Mann continued, “By responding to this ‘Innovation Imperative,’ IT leaders can deliver new business services faster and more efficiently. They are in prime position to lead innovation efforts in their organizations by exploiting the convergence of disruptive technologies such as social, mobile, cloud, virtualization and big data to support their business-centric strategies with innovative services or solutions.”

Additional key findings include:

• When asked about the possible outcomes related to a lack of investment in innovation, the top responses across business and IT included an inability to attract new customers/markets (37 percent), increased competitive pressure (32 percent) and revenue loss (31 percent).

• Looking at outcomes they have achieved or expect to achieve from innovation, the majority of respondents cited higher customer satisfaction (86 percent) and increased speed to market (79 percent). Other benefits include the ability to enter new markets (82 percent), increased profit (85 percent) and revenue/market share (83 percent), and the identification of growth opportunities (81 percent).

• Innovative organizations are more likely than their less innovative peers to emphasize experimentation and exploration; however, they place even more emphasis on meeting or anticipating customer needs, analysis and exploiting existing knowledge. Counter to conventional thinking, they also place more emphasis on planning and structure, indicating that they take a more mature approach to how innovation projects are managed and measured.

• Areas of planned technology investment related to innovation over the next 12 months include mobile, cloud, security, business analytics, service management, virtualization and automation.

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

US Lags in IT Innovation, Survey Says

The US is behind other nations when it comes to encouraging and rewarding IT innovation, according to a CA Technologies survey.

The global study Why IT Needs to Lead Now: The Innovation Imperative demonstrates the urgent need for many IT organizations to transition from an ad hoc approach to innovation to a more mature, structured method to deliver higher-quality business services faster.

According to the large organizations surveyed, only 28 percent of US respondents said innovation is frequently or widely practiced, compared to 58 percent of European and 45 percent of Asian respondents.

And while 63 percent of worldwide respondents have formal processes to measure innovation success, it is largely ad hoc or nonexistent in the US, with 26 percent of US respondents reporting there is no measurement process in place.

US-based organizations are also facing different obstacles than their international counterparts. When asked about key obstacles to innovation, the US is significantly more likely to cite budget issues (47 percent versus 28 percent in Europe, and 24 percent in Asia Pacific (AP)); information overload/too entrenched in repetitive tasks (43 percent versus 29 percent in Europe and 18 percent in AP); and, lack of an incentive/rewards structure (26 percent versus 19 percent in Europe and AP).

More budget dollars are also spent on maintenance and “keeping the lights on” in the US compared to overseas respondents (73 percent of US versus 63 percent for Europe and 61 percent for AP), limiting the available budget dollars for new projects.

Additionally, US organizations embrace and leverage “technology disruption” far less frequently than their counterparts. Only 17 percent of US respondents indicated that technology disruption projects frequently occur, versus 30 percent and 38 percent for their European and Asian counterparts, respectively.

“In addition to these troubling gaps, the research also tells us that innovation is a critical driver to success given today’s economic pressures, 24x7 connectivity, global market access, lower barriers to entry for competitors, and new expectations from tech-savvy consumers, all of which create unprecedented demands on today’s IT leaders,” said Andi Mann, vice president, Strategic Solutions at CA Technologies.

“Not prioritizing, fostering and rewarding innovation can have dire consequences. It makes organizations less competitive, unable to attract new customers and therefore, less relevant in the market, and it hurts the bottom line.”

Mann continued, “By responding to this ‘Innovation Imperative,’ IT leaders can deliver new business services faster and more efficiently. They are in prime position to lead innovation efforts in their organizations by exploiting the convergence of disruptive technologies such as social, mobile, cloud, virtualization and big data to support their business-centric strategies with innovative services or solutions.”

Additional key findings include:

• When asked about the possible outcomes related to a lack of investment in innovation, the top responses across business and IT included an inability to attract new customers/markets (37 percent), increased competitive pressure (32 percent) and revenue loss (31 percent).

• Looking at outcomes they have achieved or expect to achieve from innovation, the majority of respondents cited higher customer satisfaction (86 percent) and increased speed to market (79 percent). Other benefits include the ability to enter new markets (82 percent), increased profit (85 percent) and revenue/market share (83 percent), and the identification of growth opportunities (81 percent).

• Innovative organizations are more likely than their less innovative peers to emphasize experimentation and exploration; however, they place even more emphasis on meeting or anticipating customer needs, analysis and exploiting existing knowledge. Counter to conventional thinking, they also place more emphasis on planning and structure, indicating that they take a more mature approach to how innovation projects are managed and measured.

• Areas of planned technology investment related to innovation over the next 12 months include mobile, cloud, security, business analytics, service management, virtualization and automation.

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...