What's Happening?
The global IT market is projected to more than double in value between 2020 and 2030, reaching $8.49 trillion by the end of the decade, according to Omdia forecasts. This significant growth, representing a 9.1% Compound Annual Growth Rate (CAGR), is primarily
driven by the emergence of Artificial Intelligence (AI) as the industry's fourth era-defining technology. A major accelerator for this expansion is the substantial investment in data center infrastructure to support AI. Omdia estimates that 205 gigawatts of net-new IT capacity will be deployed over the next five years, with annual data center capital expenditure climbing to $1.6 trillion by 2030. This buildout is concentrated among approximately 20 companies or megaprojects, which are expected to deliver nearly half of this new capacity. Key growth areas include infrastructure (13.5% CAGR, led by servers at 17.3% CAGR), components (13.3% CAGR), software (11.5% CAGR), and IT services (10.6% CAGR).
Why It's Important?
This projected doubling of the global IT market, largely propelled by AI, signifies a monumental shift in technological investment and strategic focus for U.S. businesses and the economy. The massive data center expansion indicates a foundational buildout necessary to support the computational demands of AI, creating significant opportunities for U.S. hardware manufacturers, semiconductor companies, and energy providers. The substantial growth in AI-driven software and IT services also points to a booming market for U.S. tech companies, fostering innovation and job creation in high-tech sectors. This era of AI will likely transform industries across the board, from manufacturing and healthcare to finance and retail, by enabling advanced automation, predictive analytics, and new service models. Companies that strategically invest in AI infrastructure and integrate AI into their operations stand to gain a significant competitive advantage, while those that lag may face increasing challenges in a rapidly evolving digital landscape.
What's Next?
The coming years will see continued intense competition and collaboration among tech giants like Microsoft, NVIDIA, AWS, and Google, alongside emerging AI-native firms such as OpenAI and Anthropic. These entities will operate as partners, suppliers, and competitors, shaping the AI ecosystem. The critical role of partners in bringing these technological megatrends to customers will become even more pronounced, leading to a mix of transformed legacy channel companies and new entrants. The operationalization of AI will drive further growth in software and IT services, with enterprise agentic AI software market projected to reach $41.8 billion and broader Generative AI software growing to $122.8 billion by 2030. AI adoption will also create new opportunities in IT services, with the global partner opportunity for AI services expected to hit $267 billion by 2030. Cloud infrastructure services will continue to grow rapidly at a 22.4% CAGR as workloads migrate and AI drives higher consumption, while IT managed services will evolve towards higher-value, outcome-led delivery.
Beyond the Headlines
The AI era, as the fourth major technological wave following mainframes, client/server, and cloud computing, carries profound societal and economic implications. The unprecedented scale of data center expansion raises concerns about energy consumption and environmental impact, necessitating innovations in sustainable computing and renewable energy sources. The rapid development and deployment of AI will also intensify debates around ethical AI, data privacy, and the future of work, as AI's capabilities extend to automating complex tasks. The concentration of AI infrastructure and development among a few major players could lead to new forms of market dominance and require regulatory scrutiny to ensure fair competition and prevent monopolies. Furthermore, the demand for specialized AI talent will likely exacerbate existing skill gaps, prompting educational institutions and governments to invest in training programs to prepare the workforce for the demands of the AI-driven economy. This era will not only redefine technology but also reshape human interaction with machines and the very fabric of society.
