India’s PC Market Records Unprecedented Growth In 2025 Amid Accelerating Digitization

Record-Breaking Shipment Volumes

In 2025, India’s personal computer market achieved its strongest performance on record, outpacing even the heightened demand seen during the COVID-19 pandemic. With shipments of desktops, notebooks, and workstations climbing 10.2% year-over-year to reach 15.9 million units, the nation surpassed the 15-million mark for the first time, exceeding the peaks observed in 2021 and 2022. Analysts at IDC provided detailed insights into this unprecedented growth trajectory.

Expanding User Base And Market Maturation

Growth in shipments is partly linked to the expansion of the PC user base during the COVID-19 pandemic. Lockdowns introduced many first-time users to personal computing, and some of those early adopters are now replacing or upgrading their devices. Demand has also been supported by ongoing digitization efforts and increasing PC availability in smaller cities. Bharath Shenoy, research manager at IDC, said the initial wave of new users is now contributing to replacement cycles in both consumer and small business segments.

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Changing Market Dynamics And Segment Shifts

India’s share of global PC shipments leapt from 3.3% in 2020 to 5.6% in 2025. Global shipments grew 8.1% year over year to 284.7 million units, positioning India as one of the fastest-growing markets worldwide. Commercial buyers accounted for 52.9% of shipments, while consumers made up the remaining 47.1%. The momentum in enterprise purchasing, fueled by a widespread Windows refresh cycle and the need to replace aging hardware, has been key to this growth.

Competitive Landscape And Evolving Consumer Preferences

Top vendors, including HP, Lenovo, Dell, Acer, and Asus, lead the market in India. However, Apple has maintained a relatively low profile in the business segment, with MacBooks accounting for only 5.6% of the country’s notebook market in 2025, despite their global popularity. The premium notebook segment, with devices priced above $1,000, grew 8.2% year over year, signaling robust demand for high-end computing solutions.

Innovation Amid Challenges

Apple recently introduced a lower-priced MacBook Neo designed to expand its presence in both consumer and business segments. Laptop manufacturers are also adding artificial intelligence features to higher-end devices as companies evaluate new enterprise software capabilities. However, rising component costs and supply chain constraints could influence future shipment volumes. IDC projections indicate that PC shipments in India may decline by about 5% in 2026.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

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Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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