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Persistent supply chain volatility, skilled labor shortages, accelerating demand for data centers and energy infrastructure, and tightening sustainability mandates are pushing engineering and construction enterprises to deepen their digital transformation. Firms are embedding AI-native platforms into project execution, industrializing delivery through modular and DfMA-led workflows, and scaling digital twins across design, construction, and asset operations. Fragmented systems are giving way to integrated platforms that strengthen cost control, schedule predictability, and procurement resilience. As sustainability shifts from a voluntary differentiator to a compliance-driven baseline, enterprises are adopting carbon tracking, life cycle assessments, and green building standards across project portfolios. To accelerate these initiatives, industry leaders are partnering with digital service providers to embed intelligence across the construction value chain.
The Engineering and Construction Digital Services 2026 RadarView™ can help engineering and construction enterprises craft a robust strategy based on industry outlook, best practices, and digital transformation. The report can also help them identify the right partners and service providers to accelerate their digital transformation in this space. The 65-page report also highlights top market trends in the engineering and construction industry and Avasant’s viewpoint.
Avasant’s Generative AI Platforms 2026 Product Assessment™ assists organizations in identifying strategic partners for developing and deploying generative AI solutions by offering detailed capability and experience analyses for 11 platform vendors.
Predictive risk stratification is shifting cost control in healthcare away from retrospective utilization review toward prospective allocation of clinical and operational resources. Instead of analyzing costs after they occur, this approach assigns each patient a probability of future cost or adverse events, enabling healthcare systems to design tiered intervention strategies.
Financial market infrastructure is entering a period of structural transformation as institutions seek faster, programmable, and capital-efficient models for global settlement and liquidity movement. Institutional stablecoins combine fiat-backed stability with blockchain-based programmability, enabling near-instant settlement, real-time liquidity mobility, and atomic transfer of value across financial networks. Financial institutions are increasingly exploring stablecoins across treasury management, cross-border settlement, collateral mobility, and tokenized asset markets, supported by growing regulatory clarity and expanding institutional participation.
Our quarterly Residual Value Forecast (RVF) report provides forecasts for the following categories of IT equipment: desktop computers, laptops, network equipment, printers, servers, storage devices, and other IT equipment. It also includes residual values for other non-IT equipment in the following categories: copiers, material handling equipment (forklifts), mail equipment, medical equipment, test equipment, and miscellaneous equipment such as manufacturing machinery and NC machines. Residual Value Forecasts are provided for five years for end-user, wholesale, and orderly liquidation values (OLV) prices.
The Computer Economics Market Value Reports provide information on the most commonly traded machines and systems at the time the report is published. The values shown are the composites of a range of quotes acquired from sources within the industry deemed reliable, accuracy of the information presented is not guaranteed. Resources are eBay, Insight, NewEgg, CDW, ETB-Tech, Amazon, Savemyserver, TheServerStore, LoadBalancer, NetworkOutlet, Netsyst-Direct, TigerDirect, and others as well as online sales companies and appraisals.
The analysis of IT staffing data has been a core competency of Computer Economics since we began publishing our annual IT Spending and Staffing Benchmarks study in 1990. Each year, we survey more than 200 IT organizations across 10 major industry sectors, based on our sampling model, to obtain data on IT staffing levels, server counts, network infrastructure, outsourcing, and spending, among other information pertinent to the assessment of IT staffing.
This article analyzes the strategic implications of Google Cloud Next ‘26, highlighting how enterprise AI is transitioning from experimentation to scaled, production-grade deployment. It explores Google’s vision for the “agentic enterprise” through key announcements spanning AI control planes, next-generation infrastructure, and integrated data and security platforms.
From a CIO perspective, the piece outlines how these developments are reshaping AI operating models, economics, and governance—forcing leaders to rethink cloud strategy, vendor alignment, and the balance between innovation, control, and long-term resilience.
The Airlines and Airports Digital Services 2026 Market Insights™ helps organizations identify important demand-side trends that are expected to have a long-term impact on any digital project in the airlines and airports industry. The report also highlights key challenges that enterprises face today.
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