Semiconductors, Supply Chain, & Emerging Tech

Powering Innovation: Semiconductors, Supply Chain Strategy, and Emerging Tech Trends

Semiconductors have created a technology super-cycle powering the AI revolution. The industry is on pace to approach  $1 trillion in revenue in 2026, marking a third consecutive year of elevated growth driven by AI training, inference, and new  classes of intelligent systems. The semiconductor industry now spans a deeply interdependent global supply chain where  constraints at any layer shape overall performance and economics. Beyond traditional data center compute, emerging  technologies are expanding the market through new computing form factors that depend on breakthrough semiconductor  innovation and frontier AI models, including intelligent robotics, domain-specific XPUs, and early hybrid classical-quantum  platforms. Together, these forces are shifting the industry from a focus on standalone chips toward tightly integrated,  system-level platforms that define the next phase of AI-driven growth. 

When working on strategy, product, marketing, and sales initiatives, consider intelligence from our expert analysts – planned deliverables for 2026 include:
  • Analyst Insight Report – a report on critical issues in the industry  
  • State of the Market Report – a report on technology, markets, products, and vendors
  • Futurum Signal Report Access – any Signal Report published in the relevant practice area

The Latest Insights on Semiconductors, Supply Chain, & Emerging Tech

NXP Q2 FY 2026 AI at the Edge Strengthens Automotive and Industrial Demand

NXP Q2 FY 2026: AI at the Edge Strengthens Automotive and Industrial Demand

Futurum Research analyzes NXP’s Q2 FY 2026 earnings, focusing on software-defined vehicles, physical AI, and data center control-plane growth. [...]
SiTime's Nasdaq IPO Puts MEMS Timing at the Center of AI Infrastructure

SiTime’s Acquisition of Renesas Timing Division: A Strategic Leap in Timing Solutions

Olivier Blanchard, Research Director & Practice Lead, Intelligent Devices at Futurum, analyzes how SiTime's acquisition of Renesas' timing business consolidates [...]
Cadence Q2 FY 2026 Earnings Climb on Agentic AI and Record Backlog

Cadence Q2 FY 2026 Earnings Climb on Agentic AI and Record Backlog

Brendan Burke, Research Director at Futurum, reviews Cadence's Q2 FY 2026 earnings, agentic AI demand, record backlog, and raised full-year [...]
AMD Advancing AI 2026: Does AMD Now Build the World’s Best CPUs and GPUs?

AMD Advancing AI 2026: Does AMD Now Build the World’s Best CPUs and GPUs?

Brendan Burke, Research Director at Futurum, shares his insights on AMD Advancing AI 2026, where Lisa Su declared Helios the [...]
NVIDIA's Open Secure AI Alliance Bets Open Models Beat Closed Ones on Defense

NVIDIA’s Open Secure AI Alliance Bets Open Models Beat Closed Ones on Defense

Futurum’s Nick Patience, Fernando Montenegro, and Mitch Ashley unpack NVIDIA’s Open Secure AI Alliance and why the labs missing from [...]
AI platform

Kinaxis Appoints Herb Yeh: A Strategic Move Amid Supply Chain Transformation

Kinaxis strengthens its competitive position by appointing Herb Yeh to a combined CFO-CSO role, consolidating financial discipline with strategic vision [...]

The Latest NEWS

The Age of Agentic Silicon: Data Center Chip Market to Reach $1.2 Trillion by 2030
July 6, 2026

The Age of Agentic Silicon: Data Center Chip Market to Reach $1.2 Trillion by 2030

Brendan Burke, Research Director at Futurum, shares findings from new research showing the data center semiconductor market surging to $1.2 trillion by 2030, as agentic AI inference reaches 45% of...
52% of Compute Decision Makers Use Reasoning Models as Primary AI Model Type
May 18, 2026

52% of Compute Decision Makers Use Reasoning Models as Primary AI Model Type

Futurum Research’s 1H 2026 data center semiconductor survey of 824 enterprise decision makers finds 52.3% of model-serving compute now goes to reasoning models, 54.0% describe their AI workload as balanced...
Scale-Across AI Networking The Third Dimension of AI Infrastructure Design
April 28, 2026

Scale-Across AI Networking: The Third Dimension of AI Infrastructure Design

Tom Hollingsworth, Advisor at Futurum, shares his insights on the rise of scale-across AI networking design. He focuses on how it can alleviate resource constraints and create more capacity for...
Chip Supply Is the Greatest Barrier to Scaling AI Compute for 26% of Decision-Makers
April 24, 2026

Chip Supply Is the Greatest Barrier to Scaling AI Compute for 26% of Decision-Makers

Brendan Burke, Research Director at Futurum, reveals chip supply and power constraints are the dominant barriers to scaling data center compute, with nearly half of organizations citing these as their...
Orbital Computing Can Reach $1 Trillion Addressable Market by 2030
April 22, 2026

Orbital Computing Can Reach $1 Trillion Addressable Market by 2030

Brendan Burke, Research Director at Futurum, explores how declining launch costs and rising terrestrial power bottlenecks could make orbital data centers a $1 trillion market by 2030....
Futurum Survey Finds That 65% of Compute Decision Makers Plan to Adopt Optical Computing
March 24, 2026

Futurum Survey Finds That 65% of Compute Decision Makers Plan to Adopt Optical Computing

Brendan Burke, Research Director at Futurum, reveals that ~65% of semiconductor decision-makers plan to adopt optical computing, with quantum accelerators and neuromorphic chips also gaining traction....

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The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

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If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

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