Gartner’s 10 Biggest Technology Trends for 2024: AI, GenAI, and Mechanical Customers

Here are Gartner’s 10 boldest IT predictions for 2024, including GenAI, an empowered connected workforce, and the rise of machine customers.

Gartner has made some very bold predictions for the tech industry in 2024, from democratized generative AI and artificial intelligence security controls to the growth of “machine customers” and an expanded connected workforce. Masu.

“Technological disruption and socio-economic uncertainty require resilience by acting boldly and strategically, rather than ad hoc,” writes Bart Willemsen, vice president and analyst at Gartner, in a new report. We need a desire to improve our skills.” “Amid these uncertainties and pressures, IT leaders are in a unique position to strategically develop a roadmap where technology investments can help sustain business success.”

An IT research firm has identified 10 strategic IT trends expected in 2024. Technology spending is expected to increase in 2024.

Global IT spending expected to reach $5.14 trillion

Gartner predicts that global IT spending will reach $5.14 trillion in 2024, up from $4.72 trillion this year. This corresponds to an annual growth rate of almost 4% year over year.

The technology markets that will generate the most revenue in 2024 will be around IT services, software, and communications services.

Gartner’s Chris Howard said executives need to assess the impact and benefits of next year’s strategic technology trends.

“Generative AI and other types of AI offer new opportunities and drive several trends. However, deriving business value from the lasting use of AI will require careful attention to risks. A disciplined approach to widespread adoption is required,” Howard, Distinguished Vice President Analyst and Head of Research at Gartner, said in a statement.

Generation AI

According to Gartner, generative AI (GenAI) is being democratized by the convergence of pre-trained models at scale, cloud computing, and open source, making these models accessible to workers around the world. It is said that it has become.

Gartner predicts that by 2026, more than 80% of enterprises will be using GenAI APIs and models or deploying GenAI-enabled applications in production, up from less than 5% in early 2023. .

CRN analyzes Gartner’s top 10 technology trends for 2024.

No. 10: Industry Cloud Platform
Gartner predicts that by 2027, more than 70% of enterprises will use industry cloud platforms to accelerate their business initiatives, up from less than 15% in 2023.

These cloud platforms address industry-relevant business outcomes by combining underlying SaaS, PaaS, and IaaS services to deliver an entire product with configurable functionality. “These typically include industry data fabrics, libraries of packaged business capabilities, configuration tools, and other platform innovations,” he said Gartner.

Industry cloud platforms are industry-specific, customized cloud propositions that can be further customized to meet customer needs.

No.9: Platform engineering
Gartner defines platform engineering as the discipline of building and operating self-service in-house development platforms.

“Each platform is a layer, created and maintained by a dedicated product team, and designed to work with tools and processes to support user needs,” Gartner said.

The goal of platform engineering is to optimize productivity and user experience, and accelerate the delivery of business value. Gartner predicts this discipline will become even more important in his 2024.

No. 8: Sustainable technology
Gartner predicts that by 2027, 25% of CIOs will link their personal compensation to their impact on sustainable technology.

Gartner says sustainable technology is a framework for digital solutions used to achieve environmental, social, and governance outcomes that support long-term ecological balance and human rights.

The use of technologies such as AI, cryptocurrencies, the Internet of Things, and cloud computing has raised concerns about the associated energy consumption and environmental impact.

“This makes it even more important to make the use of IT more efficient, circular, and sustainable,” Gartner said.

No. 7: Machine customer
Gartner defines machine customers as non-human economic agents that can autonomously negotiate and purchase goods and services in exchange for payment.

By 2028, there will be 15 billion connected products that could serve as customers, with billions to follow.

“This growth trend will be a source of trillions of dollars in revenue by 2030 and will ultimately become more important than the advent of digital commerce,” Gartner said.

Strategic considerations should also include opportunities to promote these algorithms and devices, and even create new machine customers.

No. 6: Managing continuous threat exposure
Continuous Threat Exposure Management (CTEM) is a practical, systematic approach that enables organizations to continuously and consistently assess the accessibility, exposure, and exploitability of their digital and physical assets.

“Aligning the scope of CTEM assessments and remediation to threat vectors and business projects, rather than infrastructure components, reveals not only vulnerabilities but also unpatched threats,” Gartner said.

Gartner predicts that organizations that prioritize security investments based on CTEM programs can reduce breaches by two-thirds by 2026.

No. 5: Augmented connected workforce
Augmented and connected workforce (ACWF) is a strategy for optimizing the value derived from human workers.

The need to accelerate talent development and scale is driving ACWF trends. This trend uses intelligent applications and workforce analytics to provide everyday context and guidance to support the workforce’s experience, well-being, and ability to develop unique skills. At the same time, ACWF delivers performance and positive impact to key stakeholders.

Gartner predicts that by 2027, 25% of CIOs will use enhanced connected workforce initiatives to reduce time to competency in key roles by 50% .

No. 4: Intelligent applications
Intelligent applications include intelligence, which Gartner defines as a learned adaptation to respond appropriately and autonomously as a capability.

You can leverage this intelligence in many use cases to better scale or automate your work. At its core, application intelligence consists of a variety of AI-based services such as machine learning, vector stores, and connected data. These intelligent applications can provide users with a dynamically adapting experience.

“There is a clear need and demand for intelligent applications,” Gartner said.

In Gartner’s 2023 CEO and Senior Business Executive Survey, 26% of CEOs cited talent shortages as the most detrimental risk to their organizations. While talent acquisition and retention is a top workforce priority for CEOs, AI has been cited as the technology that will have the biggest impact on the industry over the next three years.

Part 3: AI augmented development
Gartner defines AI-enhanced development as the use of AI technologies, such as GenAI and machine learning, to help software engineers design, code, and test applications.

AI-assisted software engineering increases developer productivity and enables development teams to meet the growing software demands of running a business.

“These AI-infused development tools allow software engineers to spend less time writing code and more time on more strategic activities, such as designing and configuring compelling business applications. ” says Gartner.

No. 2: AI trust, risk, and security management
Gartner predicts that by 2026, companies that apply AI trust, risk, and security management controls will improve decision-making accuracy by eliminating up to 80% of flawed and fraudulent information.

The democratization of access to AI has made the need for trust, risk, and security management of AI more urgent and clear. Without guardrails, Gartner believes that AI models can quickly create compounding negative effects that can spiral out of control and overshadow the positive performance and societal benefits that AI enables.

AI Trust, Risk, and Security Management covers ModelOps, proactive data protection, AI-specific security, model monitoring, including monitoring for data drift and unintended consequences, and risk controls for inputs and outputs to third-party models and applications. We provide tools for

No. 1: Democratized generative AI
According to Gartner, generative AI (GenAI) is being democratized by the convergence of pre-trained models at scale, cloud computing, and open source, making these models accessible to workers around the world. It is said that it has become.

Gartner predicts that by 2026, more than 80% of enterprises will be using GenAI APIs and models or deploying GenAI-enabled applications in production, up from less than 5% in early 2023. .

“GenAI applications access vast sources of internal and external information and make them available to business users. This means that the rapid adoption of GenAI will significantly democratize knowledge and skills within the enterprise. ,” Gartner said. “Language models at scale enable companies to connect employees with knowledge in conversational formats with rich semantic understanding.”

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