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While ManTech’s ongoing strategy appears to align with the Trump administration’s interests, the company will need to increasingly leverage its partner network to close the capabilities gap between it and Tier 1 peers like Leidos and Booz Allen Hamilton (BAH).
The 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.
Demand 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.
Earlier 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.
Being the largest single technology endeavor in recent history, the Stargate Project will have a notable influence on the budding AI market, and in TBR’s opinion, no company stands to benefit more than OpenAI. OpenAI’s ultimate goal is to reach AGI, which the company defines as “highly autonomous systems that outperform humans at most economically valuable work.” While estimates about when OpenAI will reach this goal vary widely, the Stargate Project fulfills a critical requirement in the pursuit of AGI, making OpenAI a top contender to reach AGI before other firms.
Developing 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.
Setting the stage for an India-centric discussion, TBR met with PwC India leaders for a discussion about the post-pandemic shift in perspectives on opportunities within the India market, based on India’s economic growth and the growth of international companies’ global captive centers. Increasingly, according to Gayal and Gomes, decision makers for global companies reside in India, which is influencing talent management, supply operations and growth opportunities.
The telecom industry continues to struggle with realizing new revenue and deriving ROI from 5G, even after five years of market development. TBR continues to see no solution to this persistent challenge, and with no catalyst on the horizon to change the situation, CSPs’ appetite for and scope of investment in 6G will likely be limited.
Over the past several quarters, OEMs have focused on incorporating local AI-powered features into their new PC releases, with initial neural processing unit (NPU)-enabled use cases leveraging AI to further enhance collaboration experiences and extend battery life. However, AI agents take the NPU’s functionality a step further, combining the capabilities of large language models (LLMs) with other resources to partially or fully automate a wide range of tasks, including responding to emails, booking hotel stays, or opening and closing IT help desk tickets.
4Q24 TBR Insights Live topics include strategic alliance management, the U.S. telecom B2B market, the emerging India opportunity, monetizing generative AI (GenAI) in cloud, the evolving IT infrastructure landscape, the private cellular networks market, and the hyperscaler ecosystem landscape