Advanced packaging market growth to reach 144.8 billion units by 2030

The shift toward application-specific packaging roadmaps indicates that generic processor volume is no longer the primary driver of semiconductor value. For the streaming ecosystem, this transition is critical as agentic AI workloads and datacenter demands require specialized 2.5D and 3D architectures to manage rising power and heat requirements. As Apple and TSMC push hybrid bonding into premium client hardware, the infrastructure supporting high-bitrate delivery and real-time AI processing will become increasingly fragmented by workload type. Watch for whether 2.5D GPU package growth maintains its projected 16.7% CAGR as custom ASICs for streaming-specific AI tasks enter the production cycle.

TSMC's advanced packaging roadmap has become a critical enabler for AI-driven workloads across the streaming and datacenter stack. The foundry's SoIC-X hybrid bonding technology, which Apple is expected to use in its M5 Pro chip, represents a shift from traditional 2.5D interposer approaches toward true 3D chip stacking. TSMC reported in its Q2 2025 earnings call that advanced packaging capacity would expand significantly through 2026 to meet demand from AI accelerator customers, with CoWoS (Chip-on-Wafer-on-Substrate) capacity more than doubling year over year. This capacity buildout directly supports the TechInsights forecast that 3D GPU packaging will grow at a 47.7% CAGR through 2030, as hyperscalers and device makers compete for limited advanced packaging slots. The competitive dynamics around advanced packaging are intensifying as Intel and Samsung pursue their own 3D stacking programs to challenge TSMC's dominance. Intel announced in early 2025 that its Foveros Direct 3D packaging technology had entered production for datacenter processors, targeting the same AI inference workloads that drive streaming platform infrastructure. Meanwhile, Samsung SF1.4 production scheduled for 2029 as foundry roadmap expands, though yield challenges have slowed commercial adoption. For streaming infrastructure buyers, this fragmentation means that processor architectures optimized for real-time video encoding, AI-driven content recommendation, and edge inference will increasingly depend on which packaging technology their silicon vendor can access. On the network side, the demand for advanced packaging intersects with how streaming services experience quality of service at the access layer. In August 2026, NTT DOCOMO and Samsung Electronics validated a user-level AI-RAN optimization technology that reduced communication-speed degradation from 13.1% to 7.2% during video streaming scenarios, using AI to predict individual user throughput drops before they cause buffering. The January 2026 validation ran on DOCOMO's commercial network data and a local 5G trial field in Japan, with the system automatically switching frequency bands to prevent service disruptions such as buffering or reduced video quality. This type of AI-driven network optimization, which requires increasingly capable edge processors built on advanced packaging nodes, illustrates how the packaging market's growth directly enables the compute density needed to maintain streaming quality at scale.