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The Advanced Voice AI Platforms 2026 RadarView™ assists organizations in identifying strategic partners for voice AI by offering detailed capability and experience analyses of platform vendors. It provides a 360-degree view of key voice AI platform vendors across product maturity and future-proofing, thereby supporting enterprises in identifying the right voice AI platform vendor. The 56-page report also highlights top market trends in the voice AI space and Avasant’s viewpoint on them.
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.
This product assessment provides key insights into select vendors offering agentic AI platforms. The report begins with the definition and scope of the agentic AI platforms, followed by detailed profiles of leading vendors in this space. It highlights the capabilities of 16 vendors that provide agentic AI platforms for enterprise use.
Each profile includes an overview of the vendor, its core solutions and capabilities, the key enterprise challenges its platform addresses, and notable developments related to its agentic AI offerings.
Avasant’s Chief AI Officer (CAIO) study analyzes data from more than 370 CAIOs worldwide, complemented by in-depth interviews with senior AI leaders, to examine how the role is rapidly taking shape across enterprises. The report provides insights into core responsibilities, success metrics, execution challenges, evolving hiring patterns, and the CAIO’s intersection with other C-suite functions. It highlights industry and geographic adoption trends and offers practical recommendations, including a structured 30-60-90-day road map, to help CAIOs operationalize their charter and scale AI with confidence and governance rigor.
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.
In this quarterly report (calendar quarter 4, 2025), Avasant provides key information on IT and apps managed services provider trends. The report covers key information on the IT services industry and the provider ecosystem. It covers the service provider facts and figures (including revenue and resource trends) and executive sentiment from the service provider community. The report covers trends across a gamut of IT services, including but not limited to IT infrastructure, application, and end-user services. The geographic coverage for the report is global. It builds on insights gathered through ongoing market research, data collection, and proprietary databases. It includes market data from providers accessed through multiple sources such as public disclosures, market interactions, and deals data.
Real-time market and pricing intelligence is rapidly becoming a strategic differentiator in life sciences. What was once a reporting-oriented analytics function is now central to launch strategy, reimbursement positioning, and portfolio value optimization. As pricing scrutiny intensifies across global markets and payor influence expands, life sciences organizations are shifting from retrospective reporting to forward-looking, scenario-based decision-making. Cloud platforms, AI-driven analytics, and integrated commercial data ecosystems are enabling enterprises to simulate competitive responses, anticipate reimbursement shifts, and refine pricing strategies before critical market events occur.
In recent years, global supply chains have been operating under sustained and elevated uncertainty. Geopolitical tensions, trade policy shifts, labor constraints, and macroeconomic instability together make volatility a persistent feature of the operating environment. At the same time, supply chain disruptions have become both more frequent and more consequential, with large enterprises experiencing material operational, financial, and compliance impacts from delays, shortages, theft, and regulatory shocks. As volatility has shifted from episodic to structural, the limitations of traditional, efficiency-led supply chain models—designed for stability and predictability—have become increasingly evident.
ServiceNow’s acquisition of Pyramid Analytics represents the next phase of its Workflow Data Fabric vision. Initially focused on zero-copy connectivity to distributed enterprise data, ServiceNow progressively added interpretation through governance and catalog capabilities, including the acquisition of data.world, alongside Platform Analytics and AI Data Explorer. However, as businesses move toward enterprise-wide decisioning and agentic execution, connectivity and insight alone are insufficient. Pyramid Analytics adds governed semantic modelling, advanced analytics, and conversational querying.
Banks are transitioning from AI-assisted productivity to agent-led execution, enabled by advances in foundation models, orchestration runtimes, API-centric modernization, and regulatory clarity. Agentic AI is enabling banks to plan, decide, and execute multistep workflows across servicing, payments, lending, and compliance with minimal human intervention. Institutions are prioritizing scalable execution areas to demonstrate measurable ROI while redesigning complex, high-impact processes for phased autonomy. Governance, auditability, and ecosystem integration are emerging as critical enablers for responsible enterprise-wide deployment.
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