Bain & Company said the global market for AI-related products is growing rapidly and will reach $990 billion (approximately Rs 82,75,424 crore) in 2027, as rapid adoption of the technology disrupts companies and economies. Is.
The consulting firm said in its fifth annual Global Technology Report released that the market, including services and hardware related to Artificial Intelligence (AI), will grow by 40 percent to 55 percent annually from last year’s $ 185 billion (about Rs 15,46,356 crore). Wednesday. This will increase revenue from $780 billion (approximately Rs 65,19,774 crore) to $990 billion (approximately Rs 82,75,424 crore), Bain said.
Growth will be fueled by large AI systems and the large data centers to train and run them, driven by companies and governments using the technology to increase efficiency. Bain said demand is growing so fast that it will put pressure on supply chains for components, including the chips needed to run services. Ben warned that with geopolitical tensions, rising sales could lead to shortages of semiconductors, personal computers and smartphones.
Ben said demand for upstream chip components such as integrated circuit designs and related IP could grow by 30 percent or more by 2026, putting pressure on manufacturers. The cost of large data centers could rise from $1 billion (roughly Rs. 8,358 crores) to $4 billion (roughly Rs. 33,436 crores) to now between $10 billion (roughly Rs. 83,590 crores) and $25 billion (roughly Rs. 2,08,977 crores). crore) over five years as their capacity grows from 50-200 MW currently to over one gigawatt, it said.
“These changes are expected to have a huge impact on the ecosystem supporting data centers, including infrastructure engineering, power generation and cooling,” the consultancy said in a statement.
Companies are moving beyond the experimentation phase and starting to scale generative AI into their operations, Ben said. Small language models, similar to the large language models that led to the creation of OpenAI’s ChatGPT chatbot, but lightweight and efficient, may be preferred by enterprises and countries amid cost and data privacy concerns.
Governments including Canada, France, India, Japan and the United Arab Emirates are spending billions of dollars to subsidize sovereign AI, investing in domestic computing infrastructure and AI models built within their borders and trained on native data. Are. But according to Anne Hocker, head of Bain’s global technology practice, establishing a successful sovereign AI ecosystem will be time-consuming and costly.
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