For almost two decades, Gartner's report has been considered a guiding compass in the IT industry, accurately predicting the trajectories of IT technologies such as big data, cloud computing, AI, autonomous driving, IoT, RPA, low code, AR/VR, and more. Generative AI's inclusion in this report signifies the rapid advancements seen in technologies like ChatGPT, Wenxin Yiyan, and other Generative AI models. These technologies have gained widespread recognition for their application in scenario-based deployments, technological innovation, and commercial value, marking their progression towards a mature technological phase. Moreover, the report also references AI-enhanced development, intelligent applications, and other technologies closely associated with Generative AI, reaffirming the significant influence of Generative AI across various industries.

For almost two decades, Gartner's report has been considered a guiding compass in the IT industry, accurately predicting the trajectories of IT technologies such as big data, cloud computing, AI, autonomous driving, IoT, RPA, low code, AR/VR, and more. Generative AI's inclusion in this report signifies the rapid advancements seen in technologies like ChatGPT, Wenxin Yiyan, and other Generative AI models. These technologies have gained widespread recognition for their application in scenario-based deployments, technological innovation, and commercial value, marking their progression towards a mature technological phase. Moreover, the report also references AI-enhanced development, intelligent applications, and other technologies closely associated with Generative AI, reaffirming the significant influence of Generative AI across various industries.

Moreover, the report also references AI-enhanced development, intelligent applications, and other technologies closely associated with Generative AI, reaffirming the significant influence of Generative AI across various industries.

The top 10 technology trends for 2024, as outlined by Gartner, include: Generative AI, AI Trust, Risk and Security Management (AITRiSM), Continuous Threat Exposure Management (CTEM), Sustainable Technology, Platform Engineering, AI-Enhanced Development, Industry Cloud Platforms, Intelligent Applications, Augmented Connected Workforce, and Machine Customers. Now, let's delve into the detailed descriptions of these ten major technologies:

Generative AI

Generative AI democratizes technology by integrating large-scale pre-training models, cloud computing, and open-source methodologies, making technology accessible. This enables individuals without specialized technical backgrounds to create content like text, videos, code, images, and audio through text-based interactions. It's considered one of the most disruptive technologies in the last decade.

Gartner predicts that by 2026, over 80% of enterprises will leverage Generative AI APIs/models and applications supporting Generative AI in production environments, a significant rise from less than 5% in 2023.

Gartner predicts that by 2026, over 80% of enterprises will leverage Generative AI APIs/models and applications supporting Generative AI in production environments, a significant rise from less than 5% in 2023.

Gartner highlights four key reasons:

• Widespread adoption of Generative AI across organizations will significantly expand automation, enhancing productivity, reducing costs, and driving new business growth opportunities.
• Widespread adoption of Generative AI across organizations will significantly expand automation, enhancing productivity, reducing costs, and driving new business growth opportunities.
• Generative AI contributes to the democratization of information and skills, facilitating broad applications across diverse roles and business functions.
• Through Generative AI's natural text patterns, employees and users can efficiently leverage vast amounts of enterprise and external data.

How to Initiate Generative AI Applications

Gartner offers three recommendations:

• Establish a prioritized matrix of Generative AI use cases based on technical feasibility and business value, clearly outlining timelines for piloting, deployment, and production of these cases.
• Implement change management methods by prioritizing the provision of Generative AI tool knowledge to employees, enabling safe and confident usage, integrating them into daily work routines for business automation.
• Implement change management methods by prioritizing the provision of Generative AI tool knowledge to employees, enabling safe and confident usage, integrating them into daily work routines for business automation.

AI Trust, Risk, and Security Management (AITRiSM)

The need for democratized AI access emphasizes the urgency and clarity of AI Trust, Risk, and Security Management (TRiSM). Without protective measures, AI models could produce uncontrolled compounded negative impacts, overshadowing any positive performance or business benefits.

The need for democratized AI access emphasizes the urgency and clarity of AI Trust, Risk, and Security Management (TRiSM). Without protective measures, AI models could produce uncontrolled compounded negative impacts, overshadowing any positive performance or business benefits.

Gartner predicts that by 2026, enterprises employing AI TRiSM controls will enhance decision accuracy by eliminating up to 80% of errors and illegal information.

AI-Enhanced Development

AI-Enhanced Development employs AI technologies like Generative AI and machine learning to assist software engineers in designing, coding, and testing applications.

AI-augmented software engineering enhances developers' productivity, enabling development teams to meet increasing business software demands. These AI-infused development tools allow software engineers to reduce code-writing time, allowing them to focus on more strategic activities such as designing and orchestrating compelling business applications.

Intelligent Applications

Intelligent Applications characterize intelligence (as defined by Gartner as learning adaptability) as a capability. This intelligence can be utilized across various use cases to better enhance or automate tasks.

As a foundational capability, intelligence within applications encompasses various AI-based services such as machine learning, vector storage, and data connections. Consequently, intelligent applications offer dynamically adaptive user experiences.

Augmented Connected Workforce

Augmented Connected Workforce (ACWF) is a strategy optimizing the value derived from human resources. The demand to accelerate and expand talent is driving the ACWF trend. ACWF uses intelligent applications and HR analytics to provide a daily environment and guidance supporting employees' experiences, happiness, and skill development. Simultaneously, ACWF drives positive impacts on business outcomes and key stakeholders.

By 2027, 25% of CIOs will utilize augmented connected workforce plans to reduce key role skill development time by 50%.

Continuous Threat Exposure Management (CTEM)

Continuous Threat Exposure Management (CTEM) is a pragmatic and systematic approach enabling organizations to consistently and continuously assess the accessibility, exposure, and exploitability of digital and physical assets.

Aligning CTEM assessments and remediation scopes with threat vectors or business projects rather than infrastructure components not only reveals vulnerabilities but also exposes irreparable threats.

Gartner predicts that by 2026, organizations prioritizing security investments based on CTEM plans will achieve a two-thirds reduction in security vulnerabilities.

Machine Customers

Machine Customers (also known as "customer robots") are non-human economic actors capable of autonomously negotiating and purchasing goods and services in exchange for payments.

By 2028, there will exist 15 billion connected products potentially becoming customers, with several billion more expected in the following years.

By 2030, this growth trend will become a revenue source worth trillions of dollars, eventually becoming more critical than the advent of digital commerce. Strategic considerations should encompass promoting these algorithms, devices, or even creating new customer robots' opportunities.

Sustainable Technology

Sustainable Technology comprises a range of digital solutions aimed at achieving environmental, social, and corporate governance (ESG) outcomes supporting long-term ecological balance and human rights. Concerns about energy consumption and environmental impact related to technologies like AI, cryptocurrencies, IoT, and cloud computing are driving the need for more efficient, circular, and sustainable IT usage.

Gartner predicts that by 2027, 25% of CIOs will witness their personal compensation tied to their sustainable technology impact.

Platform Engineering

Platform Engineering is the discipline of building and operating self-service internal development platforms. Each platform is a layer created and maintained by specialized product teams aimed at meeting the needs of its users through tool and process integration, optimizing productivity, user experience, and accelerating business value delivery.

Industry Cloud Platforms

Gartner predicts that by 2027, over 70% of enterprises will leverage Industry Cloud Platforms (ICPs) to accelerate their business plans, a stark increase from less than 15% in 2023.

ICPs resolve industry-related business outcomes by combining foundational SaaS, PaaS, and IaaS services into comprehensive products with composability. These typically include industry data structures, business function packages, composition tools, and other platform innovations. ICPs are customized cloud solutions specific to an industry and can be further tailored to an organization's needs.

About Gartner

Established in 1979, Gartner operates in over 100 countries with over 1,000 professional technology analysts, offering services such as consulting, reports, and technical research to numerous Fortune 500 clients.

Gartner's research and consulting services have long been regarded as authoritative sources for objective technological thought leadership.