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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.

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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...