AsiaPacific.ai

Author: whellela

  • Japan’s AI Infrastructure Market to Surge Past $5.5 Billion — Why 2028 Will Be the Tipping Point

    Category: Market Analysis | Read time: 6 min | Date: March 14, 2026

    Japan’s AI infrastructure market has undergone a structural transformation. According to IDC’s latest data published this month, domestic AI infrastructure spending will reach over $5.5 billion in 2026, growing at least 18% year over year — after a seven-fold expansion between 2022 and 2025.

    But the headline number obscures the more significant story: by 2028, AI infrastructure spending will exceed non-AI infrastructure spending in Japan for the first time in history.

    From Government Catalyst to Enterprise Engine

    The initial surge was government-driven. Under the Economic Security Promotion Act, Tokyo accelerated large-scale GPU server deployments and national cloud initiatives. Many of these programmes are now reaching completion, permanently raising Japan’s domestic AI compute capacity.

    The next wave, however, is enterprise-led. IDC forecasts enterprise AI infrastructure spending to grow 5% year over year in 2026, with investment shifting toward business-critical domains including sales and marketing optimisation, customer service transformation, and R&D acceleration.

    The market is expected to sustain a five-year compound annual growth rate of 13% through 2029, underscoring the structural and long-term nature of this expansion.

    Building Sovereign AI Capability

    Japan isn’t simply expanding compute capacity. It is building sovereign AI capability — a deliberate strategic choice that distinguishes its approach from the rest of the region.

    The investment encompasses:

    • Domestic high-performance GPU clusters
    • National-scale data centre expansion
    • AI-optimised infrastructure environments
    • On-premises enterprise AI platforms

    SoftBank’s late-2025 acquisition of DigitalBridge exemplifies this strategy. By securing control over extensive global data centre assets, Japanese capital has moved closer to the physical foundations of global AI deployment. The geopolitical implications are significant — as South Korean AI firms expand overseas, critical layers of their computing environments may increasingly depend on infrastructure owned by Japanese entities.

    The Enterprise Opportunity

    For vendors operating in the Japanese market, IDC’s analysis points to a fundamental shift in what enterprise buyers want. Hardware supply models are no longer sufficient. Vendors must evolve toward ecosystem-based capabilities that include facilities integration, lifecycle support, managed AI capabilities, and infrastructure optimisation.

    Japanese enterprises are also pursuing a distinctive approach to AI models. Rather than chasing scale, firms like NTT with its tsuzumi model and startups like Sakana AI are building lightweight, efficient models designed for on-premises deployment — reflecting Japan’s preference for strict data governance and operational predictability.

    What This Means for APAC

    Japan’s AI infrastructure buildout has implications beyond its borders. As the country becomes a major hub for AI compute capacity, neighbouring markets — particularly in Southeast Asia — stand to benefit from improved connectivity and potential infrastructure partnerships.

    CBRE’s 2026 outlook highlights Japan as one of two markets (alongside Australia) expected to lead data centre demand this year, with increasing activity from Western developers and investors, particularly in Osaka.

    For enterprise leaders across APAC, Japan’s trajectory offers a blueprint: government-catalysed initial investment, followed by enterprise-led scaling, underpinned by a sovereign infrastructure strategy that reduces dependence on foreign compute providers.

    The 2028 tipping point — when AI infrastructure overtakes non-AI spending — will mark a new era not just for Japan, but for how the entire region thinks about the foundations of AI competitiveness.

    Sources:

    • IDC, “7x Growth in Just Three Years: Japan’s AI Infrastructure Will Surge Past $5.5 Billion in 2026” — https://www.idc.com/resource-center/blog/7x-growth-in-just-three-years-japans-ai-infrastructure-will-surge-past-5-5-billion-in-2026-idc-reveals/
    • CBRE, “Asia Pacific Data Centre Boom to Continue in 2026” — https://www.cbre.com/insights/articles/asia-pacific-data-centre-boom-to-continue-in-2026
    • International Policy Digest, “Why Japan and South Korea Must Coordinate on AI” — https://intpolicydigest.org/why-japan-and-south-korea-must-coordinate-on-ai/

  • APAC Enterprises to boost AI spending by 15% in 2026

    Category: Market Analysis | Read time: 5 min | Date: March 15, 2026

    The productivity era of AI is over. Revenue growth is now the top priority for Asia-Pacific enterprises — and they’re putting serious money behind it.

    According to Lenovo’s CIO Playbook 2026, conducted by IDC and surveying 920 technology leaders, 96% of APAC organisations plan to increase their AI investments by an average of 15% this year. But the real story isn’t the spending figure — it’s what’s changed about why they’re spending.

    From Cost Savings to Top-Line Growth

    For years, the dominant narrative around enterprise AI in Asia-Pacific was efficiency: automate processes, cut headcount, reduce costs. That playbook has been retired.

    “Increasing revenue — the top line and bottom line — is becoming the top-notch requirement for enterprises,” said Rakshit Ghura, VP and GM of Digital Workplace Solutions at Lenovo. “It was at the number eight position last year; this time, it is number one.”

    This shift is corroborated by IBM’s APAC AI Outlook 2026, which found that 64% of organisations are now redirecting AI investments toward core business functions — customer value and top-line growth, not back-office automation.

    By 2026, 95% of global executives expect generative AI initiatives to be at least partially self-funded, reflecting the widening revenue pool AI is creating across industries.

    The Numbers That Matter

    The Lenovo-IDC study reveals several data points that enterprise leaders should pay attention to:

    • 66% of APAC organisations are now either piloting or systematically adopting AI — past the experimentation phase
    • 88% expect returns from AI projects this year, with an anticipated ROI of $2.85 for every dollar invested
    • 50% of non-IT departments are now funding AI initiatives, with projects increasingly originating from marketing, finance, and business units
    • 86% are opting for hybrid AI, repatriating workloads from public cloud to on-premise or edge infrastructure

    That last point is critical. The hybrid approach is being driven by cost management and data sovereignty requirements — particularly in ASEAN markets where governments are actively legislating around AI data governance.

    Agentic AI: The Next Frontier

    Perhaps the most forward-looking finding is around agentic AI — systems capable of independent action and decision-making. While interest is high, with 60% of APAC organisations exploring or planning limited deployments, only 10% consider themselves ready to scale.

    The gap between interest and readiness represents both a risk and an opportunity. Vendors that can bridge this gap with enterprise-grade agentic solutions will find a receptive market.

    What This Means for the Region

    The shift from productivity-driven AI to revenue-driven AI marks a maturation point for the APAC market. Enterprises are no longer asking “should we use AI?” — they’re asking “how do we use AI to grow faster than our competitors?”

    For vendors, the implication is clear: selling AI as a cost-reduction tool is yesterday’s pitch. The winners in 2026 will be those who can demonstrate direct impact on customer acquisition, product development, and market expansion.

    For investors, the 15% spending increase across a region that already represents the world’s fastest-growing AI market signals sustained demand — particularly in hybrid infrastructure, enterprise AI platforms, and agentic AI tooling.

    Sources:

    • Lenovo CIO Playbook 2026 (IDC), via ComputerWeekly — https://www.computerweekly.com/news/366637305/APAC-enterprises-to-boost-AI-spend-by-15-in-2026
    • IBM APAC AI Outlook 2026 — https://www.ibm.com/new/announcements/apac-ai-outlook-2026-signals-ai-breakout-moment-as-a-new-revenue-driver