Mobile carrier capital expenditures (CAPEX) on infrastructure will enter a progressive decline beginning in 2006 that will see infrastructure investments decrease from 47 percent of total operator CAPEX to 33 percent by 2009. While infrastructure spending will remain the largest slice of the CAPEX pie, Pyramid Research�s new report examines how vendors must adapt their business models to address the evolving mobile operator expenditure patterns to capture new, non-infrastructure investment opportunities. Report author Ozgur Aytar states, �The rapid growth of non-infrastructure spending is due to the combined effect of factors ranging from demand for additional capacity to convergence and network evolution towards next-generation networks (NGNs).� Operator investments are shifting from coverage-based radio network deployments towards advancements in the core network, new applications, and network professional services. Increasing network complexity and the fierce competitive market are creating new business opportunities outside of the traditional equipment business for vendors. The opportunities with managed services, systems integration, performance services, and other consultative services will experience rapid growth over the next several years.
The global semiconductor industry is experiencing a historic acceleration driven by surging investment in artificial intelligence (AI) infrastructure and computing power. According to the latest IDC worldwide market study, 2025 marks a defining year in which AI's pervasive impact reconfigures industry economics and propels record growth across the compute segment of the semiconductor market. Semiconductor Market Development IDC’s latest data reveals an insightful projection: The compute segment of the semiconductor market is on track to grow 36 percent in 2025, reaching $349 billion. This segment, which encompasses logic chips powering CPUs, GPUs, and AI accelerators, will sustain a robust 12 percent compound annual growth rate (CAGR) through 2030. These numbers underscore not only current momentum but a structural shift driven by large-scale adoption of AI workloads spanning cloud, edge, and on-premises deployment models. The scale of investment is unprecedented. As organizations ...