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Steve Vachon, Senior Analyst2026-08-24 13:17:542026-08-26 08:01:20Convergence Takes Center Stage as U.S. Telecom Operators Pursue the Next Phase of GrowthYou are here: Home1 / Competitive Insights – Analyst Perspectives – TBR2 / Competitive Insights and Analyses Blog
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Steve Vachon, Senior Analyst
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Steve Vachon, Senior Analyst2026-08-24 13:17:542026-08-26 08:01:20Convergence Takes Center Stage as U.S. Telecom Operators Pursue the Next Phase of Growth
A Winning Strategy in IT Services and Consulting
We have voluminous data at TBR, 30-plus years of data and analysis on the largest and leading companies across the technology stack, from McKinsey & Co. to Wipro, from Amazon Web Services to Verizon. Because we publish data and analysis quarterly, looking back one year and forward two to five years, we don’t often take the longitudinal view. Looking at our research since October 2021 (18 months after the start of the pandemic) to today, what can we say about the strategies, business models and investments that have separated leaders from laggards, particularly in the IT services and consulting space?

AI-wrapped IT Modernization Opportunities Will Serve as Both Marketing and Revenue-generating Engines as Infosys Builds Verticalized Use Cases Tied to Outcomes to Expand AI Revenue Share
Infosys’ opportunity is not simply to sell more AI tools but also to use AI as the reason clients modernize applications, clean data, rethink workflows and consolidate vendors. That positioning matters because buyers remain practical: They want productivity, measurable outcomes and lower operating complexity, not another layer of technology hype.

The Paradox of AI Infrastructure: Hyperscalers’ Ambition Collides With the Power Grid and What This Means for Telcos
The AI infrastructure supercycle is entering a new phase. The central question is no longer whether hyperscalers have the capital or appetite to build AI infrastructure but whether the power grid can support what they intend to build.
Canva ProHidden Costs of AI Market Intelligence
The enterprises that succeed will not be those that provide unrestricted AI access to every employee. The winners will build trusted intelligence architectures enabled with proprietary, non-public data and analysis that prevent organizations from paying thousands of times for the same expensive thought. The future of enterprise AI is not simply broader access. It is governed intelligence aligned to enterprise strategy, with CFO approved efficiency. And increasingly, that efficiency may prove more valuable than the AI models themselves.

The Race for Digital Sovereignty: How 4 IT Services Leaders Are Positioned
TBR Fourcast is a quarterly blog series examining and comparing the performance, strategies and industry standing of four IT services companies. The series also highlights standouts and laggards according to TBR’s quarterly revenue projections as well as its geographic and segment estimates. With discussions about sovereignty in Europe only becoming louder, TBR thinks it is worthwhile to examine Atos Group, CGI, Fujitsu and Kyndryl. Our intent is to shine light on these similarly sized companies that have a strong presence in Europe and/or a strong presence in ITO and consulting and to discuss where each company’s opportunity lies.
Getty Images via Canva ProTelecom Infrastructure Services Market Expected to Become More Dependent on Hyperscalers and Fiber Technology Deployments
TBR research shows hyperscaler investment across multiple network domains will intensify through the forecast period, both to support cloud and AI as well as for general connectivity, driving TIS spend growth for this customer segment
Aflo Images via Canva ProIn the Agentic Era, Teradata’s Hybrid Strategy Will Drive Its Success
As enterprises look to operationalize AI across distributed environments, scale becomes less about where the infrastructure sits and more about how effectively the underlying data can be governed, accessed and turned into value. Teradata’s ability to deliver AI to where customers’ data already lives — without the need to modernize their infrastructure — will become more relevant.
Getty Images, via Canva ProWill C&SI Revenue Growth Accelerate Significantly Due to AI Adoption at Scale?
Nearly all IT services companies and consultancies have adopted a customer-zero approach to emerging technologies. With enough experience and scale, they should move into the latter half of the 2020s with compelling use cases for clients and opportunities to benefit from their internal AI adoption.
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Who Is the Market Leader in IT Services?
/by Elitsa Bakalova, Senior AnalystEight of the top 10 IT services revenue leaders in TBR’s IT Services Vendor Benchmark reported accelerated positive trailing 12-month (TTM) revenue growth year-to-year in U.S. dollars (USD) during 3Q25, indicating vendors are capturing pockets of growth opportunities despite lingering growth challenges caused by macroeconomic uncertainty, tight discretionary spending, and constrained spending in the U.S. federal sector.
The Middle East’s Economic Transformation: A Real Decoupling or Persistent Uncertainty?
/by Patrick Heffernan, Practice Manager and Principal AnalystThe long-sought-after growth of strong non-oil economies, the eventual weaning of these pivotal Middle East countries from subservience to the price of oil is happening now and happening quickly. And should a trade war break out between the U.S. and the European Union (EU) or the U.S. and China, Saudi Arabia and the UAE — and the rest of the Middle East economies — will suffer. A production surge by the world’s largest oil producer — the U.S. — would further dampen oil prices, constraining Middle East governments’ budgets. Not everything is perfect, but certainly the big picture looks promising: Non-oil economies in oil-led countries have shown persistent, seemingly lasting growth.
New IT Services Vertical Revenue Data Shows TCS’ Public Sector Surge and Market Shifts
/by Patrick Heffernan, Practice Manager and Principal AnalystLearn about TBR’s new IT Services Vertical Revenue Data Excel file. This proprietary data stream, in conjunction with our qualitative analysis of these firms, including their partners and how they operate, offers unprecedented intelligence on which companies are growing or maintaining their revenue or experiencing declines within industry verticals and allows for partner adjustments and competitive maneuvering.
Fujitsu Expands Kozuchi AI Platform and Strengthens Partnerships to Drive Digital Transformation
/by Kelly Lesiczka, Senior AnalystFujitsu’s investments in Fujitsu Kozuchi have equipped the company well to appeal to clients’ needs around the technology, providing opportunities to supply analytics with associated text, vision and trust in support of business operations. While AI technology evolves rapidly to include new capabilities, Fujitsu’s approach to developing the platform and leveraging partners and internal capabilities gives it an advantage in offering a wider set of services.
New Solutions Drive New Revenue Streams for Atos’ Manufacturing Clients
/by Elitsa Bakalova, Senior AnalystAtos has established expertise around delivering predictive maintenance solutions and is applying its skills across industries. The company is working with multiple clients in the theme park and attractions industry, utilizing data and AI as well as edge server technologies to reduce the downtime of rides and improve customer satisfaction.
Federal IT Spending Poised for Another Strong Year in Fiscal 2025
/by John Caucis, Senior AnalystThe new federal fiscal year began with a continuing resolution (CR) that extended government funding until Dec. 20, when a subsequent CR was enacted to fund federal operations until March 14, 2025. Further CR extensions in federal fiscal year 2025 (FFY2025) would cause budget delays that could impede the ability of federal IT contractors to convert backlog into revenue, but most vendors expect revenue growth to remain on a solidly upward growth trajectory in FFY25.
Robots Protecting Themselves From Robots: The Future of AI Security and Vendor Differentiation
/by Bozhidar Hristov, Principal AnalystDemand for analytics services has reached an inflection point, with new opportunities around the development and implementation of secure, industry-aligned agentic AI solutions refueling growth.
B2B Strategic Advantage: Ecosystem Intelligence
/by Patrick Heffernan, Practice Manager and Principal AnalystVendor consolidation and enterprise optimization of existing digital stacks have compelled IT services companies and consultancies as well as their ecosystem partners to think strategically about who to partner with and how to secure and expand their position within the ecosystem. As a result, aligning business priorities with alliance partners will allow IT services companies and consultancies to develop a more empathetic approach to technology-fatigued buyers. Additionally, understanding pricing and commercial structures backed by common knowledge management programs will elevate the value of joint services and appeal to enterprise buyers’ appreciation of a separation of labor, supported by greater transparency and accountability.
KPMG Shifts Focus to Legal Services and AI-driven Strategy ConsultingÂ
/by Bozhidar Hristov, Principal AnalystEarlier in January news reports surfaced that a subsidiary of KPMG, KPMG Law US, had applied to operate in Arizona under a state program allowing nonlawyers to operate law firms and provide legal services in the state. KPMG is leaning toward legal services and AI-infused strategy consulting offerings to bolster sales as the firm navigates choppy market conditions within core deal advisory.
Infosys’ Future: Scaling GenAI and SLM Innovation to Drive Growth and Stakeholder Trust
/by Bozhidar Hristov, Principal AnalystDeveloping a client-ready AI-first portfolio is not a strategy unique to Infosys, but keeping pace with the rapidly evolving generative AI (GenAI) market highlights the company’s appetite for innovation and helps it strengthen stakeholder trust. Over the past 24 months, a large portion of vendor-client discussions focused on experimenting with developing and running large language models (LLMs), often fed with either public or nonessential data. Growing adoption of the technology has introduced the need for developing SLMs that are either function or industry specific.