Gartner Forecasts Worldwide Semiconductor Revenue to Exceed USD 1.3 Trillion in 2026

STAMFORD, Conn., April 8: Global semiconductor revenue is projected to exceed $1.3 trillion in 2026, exhibiting the highest growth in the last two decades, according to Gartner, Inc., a business and technology insights company.

“Amid high demand for AI processing, data center networking and power, and memory price inflation (memflation), the semiconductor industry is projected to achieve a third consecutive year of double-digit growth in 2026 – a milestone that underscores the sector’s pivotal role in the AI technology stack,” said Rajeev Rajput, Senior Principal Analyst at Gartner.

 Gartner forecasts semiconductor revenue will grow 64% in 2026, with memory revenue expected to increase threefold amid memflation (see Table 1). Gartner analysts said that memflation is profound, but it is not perennial. Gartner estimates DRAM and NAND flash annual prices in 2026 will increase by 125% and 234%, respectively, and any meaningful pricing relief is not expected until late 2027.

Table 1. Semiconductor Revenue Forecast, Worldwide, 2025-2027 (Billions in U.S. Dollars)

Source: Gartner (April 2026)

 AI Semiconductors Will Represent 30% of Total Semiconductor Revenue in 2026

AI semiconductors are expected to account for approximately 30% of total semiconductor revenue in 2026 and will remain the driving force behind the overall industry growth. Hyperscaler investment in AI infrastructure buildouts remains strong with spending expected to increase by more than 50% in 2026, driving demand for AI accelerators, including GPUs and custom non‑GPU chips.

 “Memflation will destroy, or at least delay, non-AI demand into 2028, to varying degrees depending on the application,” said Rajput. “Technology suppliers should prepare for higher prices during the first half of 2026, followed by persistent but moderating price increases throughout the rest of the year. CIOs and IT leaders should be cautious about signing supply agreements with unfavourable pricing terms that extend beyond 2027.”

 Gartner clients can read more in Forecast: Semiconductors and Electronics, Worldwide, 2024-2030, 1Q26 and How Long Will AI Demand Sustain Memory Prices.

A complimentary webinar on 1Q26 Semiconductor Reset: Who Wins in a Constrained Market? will take place on April 22 at 11:00 AM ET.

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Aziro and Databricks Announce Strategic Partnership to Accelerate Enterprise AI and Data Innovation

April 08: Aziro, an AI-native Product Engineering Company, has announced a strategic partnership with Databricks to help enterprises modernize their data platforms and scale artificial intelligence initiatives. The collaboration brings together Aziro’s AI-native engineering capabilities and the Databricks Platform to enable organizations to unify data, analytics, and AI within a single governed ecosystem.

The partnership is designed to help enterprises apply AI more effectively to their data while maintaining strong privacy, governance, and operational control. By combining Databricks’ ability to democratize data insights through natural language access and unify data, governance, and AI workflows with Aziro’s engineering expertise and reusable machine learning accelerators, organizations can move toward more integrated and cost-efficient data operations.

Through the collaboration, enterprises will be able to transition to the Databricks platform for end-to-end data modernization, build future-ready data strategies, and streamline complex architectural migrations. The partnership also supports the development of predictive and generative AI applications, enabling companies to deploy intelligent systems more quickly and reliably while building a unified data backbone to drive measurable business outcomes.

Customers adopting the joint approach gain a unified operating layer for data and AI powered by the Databricks platform and supported by Aziro’s engineering capabilities. This combination can help organizations reduce infrastructure costs, shorten machine learning deployment cycles, and strengthen data-driven decision-making across functions. Industry sectors, including independent software vendors, financial services, retail, and logistics, are expected to benefit through capabilities such as faster fraud detection, hyper-personalized customer insights, real-time supply chain visibility, and production-grade generative AI solutions.

“At Aziro, we believe that strong data and AI foundations will define the next decade of enterprise innovation. Our partnership with Databricks brings engineering strength, data intelligence, and scalable AI together so companies can move from fragmented analytics to real-time, AI-powered decision systems,” said Sanjay Sehgal, Founder, Chairman, and CEO of Aziro.

As part of the partnership roadmap, the two companies will focus on several key initiatives. These include modernizing enterprise data estates by migrating customers to the Databricks platform , which unifies batch and streaming data for faster analytics and AI workloads. The collaboration will also support organizations in developing scalable data architecture strategies through structured assessments and migration roadmaps aimed at eliminating technical debt and building governed data foundations.

Another focus area will be engineering predictive and generative AI applications using Databricks’ data-centric approach to improve model accuracy and accelerate deployment. The partnership will also strengthen enterprise MLOps capabilities through certifications, CI/CD pipelines, automated monitoring, and model governance frameworks that enable the development of reliable, production-grade AI systems.

In addition, Aziro and Databricks plan to co-develop industry-specific AI accelerators for customer intelligence, fraud detection, supply chain visibility, and observability, helping organizations reduce the time required to deploy advanced analytics solutions. The companies will also pursue joint go-to-market initiatives to expand adoption across high-growth sectors.

Together, the partnership aims to help enterprises move beyond fragmented analytics environments toward unified data ecosystems that support scalable AI innovation and long-term digital transformation.

RBI Holds Repo Rate at 5.25 percent, Signals Stability in Borrowing Costs and Reinforces Disciplined Asset Allocation Strategy

 By Mr. Raghvendra Nath, Managing Director of Ladderup Asset Managers.

Quote: “The RBI’s decision to hold the repo rate at 5.25%, while inflation remains close to the 5% threshold, signals a cautious stance to balance growth and price stability. For investors, this translates into continued stability in borrowing costs and relatively anchored bond yields, with the 10-year G-sec yield currently in the ~7.0–7.2% range. In the near term, we expect debt portfolios to remain resilient, while equities could remain range bound as markets look for clearer cues on inflation and global developments, reinforcing the need for disciplined asset allocation.”