TLDR: Worldwide spending on Artificial Intelligence is forecasted to increase by 31.9% annually from 2025 to 2029, culminating in $1.3 trillion in investments. This surge is primarily fueled by the rapid adoption of Agentic AI-enabled applications and systems, leading to a significant transformation in enterprise IT budgets and competitive landscapes, according to the International Data Corporation (IDC).
Global spending on Artificial Intelligence (AI) is set for a dramatic increase, with projections indicating a 31.9% annual growth rate between 2025 and 2029. This robust expansion is expected to drive total AI investments to an astounding $1.3 trillion by 2029, as revealed by data from the International Data Corporation’s (IDC) Worldwide Artificial Intelligence IT Spending Market Forecast.
The primary catalyst for this unprecedented surge is the proliferation of ‘Agentic AI-enabled applications and systems’ designed to manage complex agentic fleets. This trend is fundamentally reshaping enterprise IT budgets, particularly within the software sector, as companies pivot their investment strategies towards products and services built upon an agentic AI foundation. The shift is further bolstered by anticipated growth in platform solutions that empower businesses to develop, manage, and operate their AI agents with enhanced security and efficiency.
Rick Villars, group vice president, Worldwide Research at IDC, emphasized the strategic importance of this trend: “An important takeaway from this forecast is the clear alignment between the growth in (AI) spending and IT leaders’ trust that effective use of AI can boost future business success. Application and Services providers that are behind in putting AI into their products and not extending them with agents are risking market share losses to companies that made the decision to put AI at the center of their product development roadmap.”
Key highlights from IDC’s research underscore several critical areas of development:
* Infrastructure Build Out Continues: Service providers are expected to shoulder 80% of the infrastructure expenditure through 2029, necessitated by the massive increase in agentic workloads.
* Agent Construction & Control: Enterprises are anticipated to see a logarithmic (10x) increase in both the number and complexity of third-party and custom-built AI agents over the next five years.
* App AI-Enablement Accelerates: Spending on AI-enabled applications is projected to grow faster than any other segment, triggering significant competitive shifts across the software industry.
* AI IT & Business Services: Service providers will experience the most profound impact as enterprises escalate their spending on agentic AI, thereby transforming the landscape of IT business services.
The forecast also positions AI as a crucial test of innovation and leadership. The widespread adoption of agents and Agentic AI is expected to accelerate innovation in how companies leverage technology and code to redefine their business operations. These investments and the evolution of related products will increasingly dictate the success or failure of business and technology leaders.
Crawford Del Prete, president at IDC, highlighted the human element of this transformation: “This research reveals several important issues for businesses to consider about the interconnection between labor and AI investment. As an example, business leaders will need to pay particular attention to employee roles in an enterprise, and how roles change as agents become more commonplace in business. Agents will change the nature of work, making some roles highly productive, and others obsolete. Workers and enterprises will need to be more agile than ever before to keep pace.”
Also Read:
- Artificial Intelligence Set to Drive Trillion-Dollar Surge in Stock Market Value, Morgan Stanley Forecasts
- Gartner Predicts 40% of Enterprise Applications to Integrate Task-Specific AI Agents by 2026
This surge in AI spending will also necessitate a massive increase in underlying compute capacity, primarily driven by cloud providers in the short term. Conversely, the intense focus on AI is likely to redirect funding from other non-AI related areas of the tech stack, such as traditional servers and storage, pushing these segments towards greater efficiency and consolidation rather than growth.
