Worldwide IT spending is expected to reach $6.31 trillion in 2026, up 13.5% from 2025, according to the latest forecast by Gartner, Inc., a business and technology insights company.

The transition from human-paced defense to machine-speed conflict is redefining cybersecurity strategy within defense and critical infrastructure sectors because response times anchored to human decision-making cannot match automated attack cycles.  These were among the insights from a recent BizTechReports vidcast interview with Craig Opie, co-founder and CTO of Holocron Security, who described how organizations are beginning to operate under a widening assumption that response must occur at machine speed or risk becoming operationally ineffective.

Omdia’s has significantly raised its semiconductor revenue forecast for 2026 to 62.7%, again reflecting unprecedented growth in DRAM and NAND driven by sustained demand and ongoing supply shortages expected to persist through the year. The DRAM market is forecast to nearly double in value, with the smaller NAND segment could quadruple compared to 2025.

The Forrester Top 10 Emerging Technologies In 2026 report, which highlights a pivotal shift in AI from digital experimentation to real-world transformation. AI is moving beyond software into physical environments — powering robots, vehicles, and ambient experiences that are already changing how consumers communicate, work, and buy.

Artificial intelligence is reshaping how life sciences organizations approach the role of infrastructure in sensitive operations, exposing limitations in legacy high-performance computing environments and accelerating a move toward more flexible, hybrid models. The impact is measurable. Research timelines are compressing, competition for scarce compute resources is intensifying, and infrastructure strategy is emerging as a direct determinant of both scientific output and financial performance. These dynamics are driving a rethinking of how compute resources are provisioned and consumed. In a recent BizTechReports executive vidcast interview, Matthew Shaxted, CEO of Parallel Works, described this evolution as “compute capacity liquidity.”

The global technology services market surged to a new record in the first quarter as enterprises accelerated their AI adoption and continued to seek cost savings, the latest state-of-the industry report from Information Services Group (ISG), a global AI-centered technology research and advisory firm, finds.

Forrester’s latest research, The GTM Singularity Is Here, unveiled today at B2B Summit North America, is a clarion call to B2B leaders across marketing, sales, customer success, and product functions to finally discard decades-old go-to-market (GTM) practices and embrace a new ARC (augmented, resilient, and collaborative) GTM approach that engages today’s AI-enabled buyers and customers.

Technology buyers are completing the majority of their evaluation before engaging vendors, forcing managed service providers to rethink how they approach marketing, according to Ilan Vagenshtein, a fractional CMO specializing in the MSP sector. His observations, shared in a recent BizTechReports executive vidcast interview, reflect a broader shift toward self-directed research and early vendor preselection, where traditional campaign-based strategies are proving increasingly ineffective.

The global study interviewed 1,217 senior executives, primarily at large, publicly listed companies across 25 sectors, asking them about the revenue and efficiency gains they are seeing from AI today, alongside questions about how they deploy the technology.

Artificial intelligence is reshaping how life sciences organizations approach the role of infrastructure to support its data-intensive operations. In the process, it is exposing limitations in legacy high-performance computing environments and accelerating a shift toward more flexible, hybrid data processing models. These dynamics were examined in a recent BizTechReports executive vidcast interview with Matthew Shaxted, CEO of Parallel Works, who described how AI-driven demand is forcing organizations to rethink how compute resources are provisioned, governed, and optimized across increasingly fragmented environments.

The 2026 ISG Buyers Guides for Human Capital Management Suites and Workforce Management provide the rankings and ratings of 50 software providers and their products for optimizing functions including HR, talent management, staffing and compliance. The series includes a comprehensive guide to HCM suites and a series of guides evaluating workforce management platforms, including core suites, industry-specific products and offerings from emerging providers. The research finds that advanced HCM and workforce management systems increase visibility into operations and accelerate and improve decision-making.

Managed service providers are confronting a widening gap between how they market their services and how enterprise and mid-market buyers evaluate technology partners. This is creating a structural inefficiency that is limiting growth across the sector. At the center of this trend is a fundamental shift in buying behavior. Technology buyers are no longer entering vendor-led sales processes at the beginning of their journey. Instead, they are completing the majority of their evaluation independently, often narrowing their consideration set before any direct engagement occurs. 

Customer expectations for AI in logistics are rising, even as most companies across the sector remain in the early stages of implementation. More than 40% of shippers now take logistics providers’ AI capabilities into account when selecting partners, but fewer than 10% currently treat AI as a mandatory criterion. At the same time, about 40% of logistics service providers have moved beyond pilots, while only about one in ten have scaled AI across core operations.

The 2026 ISG Provider Lens Digital Engineering Services (Large) report for the U.S. finds that organizations are shifting from siloed development to integrated engineering models that support enterprise-wide transformation. The report evaluates large service providers with annual revenue over $2 billion, and a later report will cover midsize providers. Companies are increasing investments in AI-enabled platforms and in services from large providers to achieve measurable business outcomes. The rapid evolution of large language models (LLMs) is changing business models and giving enterprises the confidence and capital to pursue broad AI and machine learning initiatives.

In mid‑market manufacturing, safety investments have traditionally been evaluated one system at a time — a new camera network here, an upgraded environmental sensor there. But according to Sharath Tadepalli, Director & Global Practice Leader for Data Science, Machine Learning and Artificial Intelligence at HGS, the real breakthrough comes when these legacy assets are connected and enhanced with emerging technologies such as artificial intelligence, machine learning, and the Internet of Things.

The survey found that 54% of CEOs said their automation was limited to specific tasks; by the end of 2028, only 13% expect to remain at this level. Conversely, 32% of CEOs expect their organizations to deploy self-learning and adaptable AI tools to assist with human decision-making, while 27% expect their organizations to operate primarily without human intervention, signalling a move to autonomous business ecosystems.

i2 Group, a Harris Computer company, has announced the launch of i2 Amplify, a community platform that brings together intelligence professionals, analysts, and investigators to collaborate, share expertise, and strengthen the use of i2 Group solutions in operational environments.

Omdia’s study, covering 50 neoclouds, finds that providers have scaled compute for AI workloads, but networking infrastructure is becoming a critical constraint. AI performance increasingly depends on the ability to process and move data securely across distributed environments and geographies.

The 2026 ISG Provider Lens global Mainframes — Solutions report finds that enterprises are shifting from one-time transformation efforts to multi-year modernization programs that prioritize continuity and controlled change. Organizations continue to rely on mainframes for mission-critical workloads, especially in regulated sectors, while integrating them with cloud-native environments. This approach reflects rising demand for flexibility, transparency and auditability as enterprises respond to growing operational complexity and talent shortages.

Worldwide PC shipments totaled 62.8 million units in the first quarter of 2026, a 4% increase from the first quarter of 2025, according to preliminary results by Gartner, Inc., a business and technology insights company.