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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

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

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

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ...