This massive capital influx comes as the rapidly expanding AI market transitions into what analysts describe as an intense industrialisation phase, according to a new report by market research firm Omdia.

The report highlights a staggering long-term trajectory, estimating that cumulative global investment in data centres could reach nearly $1.6 trillion by 2030, underscoring the unprecedented scale of capital flowing into high-performance computing worldwide.

The Rise of the ‘AI Factory’

According to Omdia, traditional data centres are undergoing an irreversible evolution. They are morphing into AI Factories, large-scale industrial systems designed primarily to generate intelligence through advanced AI models rather than just storing data.

In this new paradigm, digital tokens and model performance are defining productivity, creating a brand-new class of industrial infrastructure where the output is intelligence itself.

This shift is being accelerated by skyrocketing compute demands, intensifying geopolitical competition, and a massive push for sovereign AI capabilities by both corporations and national governments.

Commenting on the shifting landscape, Raymond Zhan, senior chief analyst for Cloud and AI at Omdia, noted that future market dominance will extend far beyond raw hardware power.

“The future competitive landscape will no longer be defined by model parameters or GPU counts alone,” Zhan said. “Instead, it will increasingly depend on energy systems, cooling technologies, semiconductor supply chains, software ecosystems, regulatory compliance, and long-term capital resilience.”

5 Core Trends Shaping 2026

Omdia identified five major structural trends driving the AI infrastructure space over the next year:

1. Efficiency Over Raw Power:

A strategic shift from simply accumulating Graphics Processing Units (GPUs) toward optimizing performance efficiency, lowering response times, and reducing operational costs.

2. Sovereign and Regional AI:

Governments investing heavily in domestic AI infrastructure to reduce dependence on foreign tech giants and safeguard digital sovereignty.

3. Advanced Thermal Management:

Widespread industry adoption of liquid cooling technologies to handle the immense heat generated by high-density AI clusters.

4. Specialized Cloud Ecosystems:

The rapid expansion of specialized AI cloud providers alongside traditional hyperscale operators to serve niche and industry-specific needs.

5. Sustainability Focus:

A heightened focus on long-term environmental sustainability and energy grid capacity.

The African Outlook

Despite the aggressive capital deployment, the transition isn’t without friction. A survey of more than 200 organizations highlighted major bottlenecks threatening to slow down deployments, including severe talent shortages, return-on-investment (ROI) anxieties, regulatory compliance complexities, and engineering friction.

Omdia projects that 2026 and 2027 will serve as the critical growth phase for these AI factories, with regional and sector-specific operators expected to spearhead the fastest expansion.

Analysts expect this macroeconomic trend to heavily reshape future investments in cloud computing, telecommunications infrastructure, and enterprise services globally, with significant ripple effects expected across emerging tech ecosystems, including Africa.

The project, which is Google’s largest AI investment outside the United States, will unfold over five years.

Speaking at an event in New Delhi, Thomas Kurian, CEO of Google Cloud, said, “It’s the largest AI hub that we are going to be investing in anywhere in the world outside of the United States.” He explained that the Visakhapatnam campus would initially operate at 1 gigawatt capacity but is expected to expand to “multiple gigawatts” as demand for AI and cloud computing grows.

The data centre will be part of Google’s global network of AI hubs across 12 countries, forming the backbone of its expanding cloud infrastructure. The investment will be channelled through Raiden Infotech, Google’s Indian subsidiary, which plans to build three campuses in the coastal city.

Although Andhra Pradesh officials earlier projected a $10 billion valuation, Kurian’s announcement places the figure higher, as the scale of Google’s vision in India’s fast-growing digital economy becomes bigger.

The state government expects the project to create approximately 188,000 jobs, ultimately impacting and boosting the economy.

Nara Lokesh, Andhra Pradesh’s minister for Human Resources Development, described the deal as the outcome of “a year of intense discussions and relentless effort,” adding that “this is just the beginning.”

The development comes as AI investments surge globally, with technology firms working to expand their computing capacity. Google recently raised its 2025 capital expenditure forecast to $85 billion, citing “strong and growing demand for our Cloud products and services.” 

Earlier this year, the company also announced a separate $25 billion plan to enhance its data and AI infrastructure across the United States.

India, home to nearly one billion internet users, continues to attract multinational tech giants seeking to capitalise on the country’s rapid digital expansion. Microsoft, Amazon Web Services (AWS), and Indian conglomerates such as Adani Group and Reliance Industries have all announced similar large-scale data infrastructure projects in recent years.

For Google, India is an important market and the choice for a data centre location is solid. The country hosts the largest number of YouTube users globally, and Android tops smartphone usage. 

However, the U.S. tech giant currently faces regulatory challenges in the country, including antitrust investigations and a lawsuit involving a Bollywood couple over YouTube’s AI policy.

However, the $15 billion commitment reveals Google’s long-term confidence in India’s role as an AI innovation hub. The Visakhapatnam facility, once completed, will enhance the region as a key node in the global data and AI ecosystem, ensuring digital infrastructure supports one of the world’s fastest-growing economies.