Skip to main content

Gartner: Top Trends Impacting Technology Providers in 2024

Gartner, Inc. has highlighted the top trends that will impact technology providers in 2024.

"Generative AI (GenAI) is dominating the technical and product agenda of nearly every tech provider," said Eric Hunter, Managing VP at Gartner. "The technology reshapes a tech provider from its growth and product strategy down to the everyday tools used by its associates. Despite the potential for GenAI to reshape providers, it is not the only influence facing technology leaders. There are new points of friction in growth plans, new points of fusion in marketing and sales, and new relationships opening up to technology and service providers (TSPs)."

The immediate and long-term implications of these issues require product leaders to balance between short-term opportunity and long-term advantage and strategies based on economic recovery or recession. Gartner's top trends for 2024 reflect these dualities.

Efficient Growth for High Tech

Significant growth in IT spending over the last decade benefited high-tech companies. Capturing that growth led high-tech firms to pursue growth without a full measure of the costs. This is a "growth at all costs" strategy. High-tech firms anchored their product, organization and employment plans on a hypothesis of continued strong growth.

As macroeconomic conditions create uncertainty among buyers and increasing costs of capital shift investor focus to margin growth, Gartner analysts see a trend toward tech providers focusing on efficient growth. Efficient growth strategies recognize the value in growing in ways that strengthen current margins and future revenue opportunities.

New Enterprise IT-Provider Relationships

Increased business and technical demands require enterprise IT to cover more ground at a deeper level and a faster pace, eroding enterprise IT's capacity and capabilities. This creates a trend for product leaders at tech providers to create new relationships and revenue opportunities across the enterprise, including expanded provider roles within enterprise IT and the business, outcome-centric provider-enterprise relationships and enterprise-wide tier-1 relationships.

Sustainable Business Grows Up

Sustainability efforts and managing the ESG impact have been unilaterally focused on mitigating internal risk and ensuring compliance. Product leaders must evolve by embracing double materiality and holistic leverage of emerging technologies to meet sustainability objectives.

AI Safety

Responsible AI and AI safety are not new concepts, but the unprecedented rapid development of GenAI technologies has fueled the discussion around risk management and how to address growing issues such as content provenance and hallucination. Product leaders must build solutions that incorporate safety principles with a focus on model transparency, traceability, interpretability and explainability aspects. Preempting regulatory and compliance issues will be critical to staying competitive in this vibrant GenAI market by creating trust.

Rising Buyer Pessimism

Over the past three years, tech providers have increasingly observed negative sales pipeline effects due to new buyer behaviors that are colliding with outdated go-to-market (GTM) models. Without adapting sales and marketing approaches to detect and respond to buyer pessimism, technology providers will see their own GTM operations decline in both internal and external perspectives.

Vertical Generative AI Models

While general-purpose models perform well across a broad set of GenAI applications, they can be impractical for many enterprise use cases that require domain-specific data. Tech providers must explore industry-focused models that can be adapted to specific user requirements using available resources more efficiently. Those failing to do so will face increased costs and complexity in the creation and leverage of models.

Personalized Marketplace Experiences

Specialized, niche, digital marketplaces are emerging to help buyers navigate the complexity of procuring, implementing and integrating solutions. Product leaders who do not offer their services through personalized digital marketplaces limit their findability for their target customers. Gartner predicts that 80% of sales interactions between suppliers and buyers will occur in digital channels by 2025.

Industry Cloud Delivers Growth

Service providers, hyperscalers, ISVs and SaaS providers are turning to vertical solutions to deliver the customer outcomes that will drive provider growth. By 2027, Gartner predicts that more than 50% of tech providers will use industry cloud platforms to deliver business outcomes, up from less than 5% in 2023.

PLG and Value Converge for Hybrid GTM

Product-led-growth (PLG) focuses on showing value to product users, creating intent signals that go-to-market (GTM) teams can use with prospective buyers. But most companies using a PLG GTM have begun to realize that, in most cases, a 100% self-serve GTM motion isn't tenable. At some point, sellers must be involved to convert deals. Buyer needs for business value and outcome justification — for new or expansion business — will meld PLG tactics with value management and realization initiatives in hybrid GTM strategies.

Precision Marketing and Sales

Rapidly evolving technology advances, such as GenAI, digital buying and the metaverse, are changing how tech providers market and sell technology. Tech providers failing to adopt new approaches will see the erosion of overall deal quality combined with the loss of relevance and limited growth within established accounts.

Hot Topics

The Latest

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Gartner: Top Trends Impacting Technology Providers in 2024

Gartner, Inc. has highlighted the top trends that will impact technology providers in 2024.

"Generative AI (GenAI) is dominating the technical and product agenda of nearly every tech provider," said Eric Hunter, Managing VP at Gartner. "The technology reshapes a tech provider from its growth and product strategy down to the everyday tools used by its associates. Despite the potential for GenAI to reshape providers, it is not the only influence facing technology leaders. There are new points of friction in growth plans, new points of fusion in marketing and sales, and new relationships opening up to technology and service providers (TSPs)."

The immediate and long-term implications of these issues require product leaders to balance between short-term opportunity and long-term advantage and strategies based on economic recovery or recession. Gartner's top trends for 2024 reflect these dualities.

Efficient Growth for High Tech

Significant growth in IT spending over the last decade benefited high-tech companies. Capturing that growth led high-tech firms to pursue growth without a full measure of the costs. This is a "growth at all costs" strategy. High-tech firms anchored their product, organization and employment plans on a hypothesis of continued strong growth.

As macroeconomic conditions create uncertainty among buyers and increasing costs of capital shift investor focus to margin growth, Gartner analysts see a trend toward tech providers focusing on efficient growth. Efficient growth strategies recognize the value in growing in ways that strengthen current margins and future revenue opportunities.

New Enterprise IT-Provider Relationships

Increased business and technical demands require enterprise IT to cover more ground at a deeper level and a faster pace, eroding enterprise IT's capacity and capabilities. This creates a trend for product leaders at tech providers to create new relationships and revenue opportunities across the enterprise, including expanded provider roles within enterprise IT and the business, outcome-centric provider-enterprise relationships and enterprise-wide tier-1 relationships.

Sustainable Business Grows Up

Sustainability efforts and managing the ESG impact have been unilaterally focused on mitigating internal risk and ensuring compliance. Product leaders must evolve by embracing double materiality and holistic leverage of emerging technologies to meet sustainability objectives.

AI Safety

Responsible AI and AI safety are not new concepts, but the unprecedented rapid development of GenAI technologies has fueled the discussion around risk management and how to address growing issues such as content provenance and hallucination. Product leaders must build solutions that incorporate safety principles with a focus on model transparency, traceability, interpretability and explainability aspects. Preempting regulatory and compliance issues will be critical to staying competitive in this vibrant GenAI market by creating trust.

Rising Buyer Pessimism

Over the past three years, tech providers have increasingly observed negative sales pipeline effects due to new buyer behaviors that are colliding with outdated go-to-market (GTM) models. Without adapting sales and marketing approaches to detect and respond to buyer pessimism, technology providers will see their own GTM operations decline in both internal and external perspectives.

Vertical Generative AI Models

While general-purpose models perform well across a broad set of GenAI applications, they can be impractical for many enterprise use cases that require domain-specific data. Tech providers must explore industry-focused models that can be adapted to specific user requirements using available resources more efficiently. Those failing to do so will face increased costs and complexity in the creation and leverage of models.

Personalized Marketplace Experiences

Specialized, niche, digital marketplaces are emerging to help buyers navigate the complexity of procuring, implementing and integrating solutions. Product leaders who do not offer their services through personalized digital marketplaces limit their findability for their target customers. Gartner predicts that 80% of sales interactions between suppliers and buyers will occur in digital channels by 2025.

Industry Cloud Delivers Growth

Service providers, hyperscalers, ISVs and SaaS providers are turning to vertical solutions to deliver the customer outcomes that will drive provider growth. By 2027, Gartner predicts that more than 50% of tech providers will use industry cloud platforms to deliver business outcomes, up from less than 5% in 2023.

PLG and Value Converge for Hybrid GTM

Product-led-growth (PLG) focuses on showing value to product users, creating intent signals that go-to-market (GTM) teams can use with prospective buyers. But most companies using a PLG GTM have begun to realize that, in most cases, a 100% self-serve GTM motion isn't tenable. At some point, sellers must be involved to convert deals. Buyer needs for business value and outcome justification — for new or expansion business — will meld PLG tactics with value management and realization initiatives in hybrid GTM strategies.

Precision Marketing and Sales

Rapidly evolving technology advances, such as GenAI, digital buying and the metaverse, are changing how tech providers market and sell technology. Tech providers failing to adopt new approaches will see the erosion of overall deal quality combined with the loss of relevance and limited growth within established accounts.

Hot Topics

The Latest

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...