Capgemini raises 2026 revenue growth target to 9% as AI transformation demand accelerates

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Capgemini has upgraded its 2026 revenue growth target to 8.5-9% at constant currency, up from its previous 6.5-8.5% forecast. The Paris-based IT services firm reported first-half revenue of €12.08 billion, driven by surging demand for large AI transformation projects and the successful integration of WNS, which expanded its pipeline for AI-powered operations work.

Capgemini Upgrades Revenue Growth Target Amid AI Transformation Surge

Capgemini has raised its revenue growth target for 2026, signaling strong momentum in the AI transformation market. The French IT services company now expects annual growth of 8.5% to 9% at constant currency, up from its previous forecast of 6.5% to 8.5%

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. The upgrade comes as clients shift from experimental AI projects to deploying agentic AI in core business processes, creating substantial demand for AI transformation projects at scale.

The Paris-based firm reported first-half revenue of €12.08 billion ($13.83 billion), representing 8.8% growth at constant exchange rates

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. Second-quarter bookings rose 9.2% to €6.55 billion, achieving a book-to-bill ratio of 1.07, which indicates the company is winning more new business than it's billing for completed work

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. Despite the revenue increase, Capgemini maintained its operating margin target of 13.6% to 13.8% and its organic free-cash-flow forecast of €1.8 billion to €1.9 billion

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AI-Driven Enterprise Transformation Takes Center Stage

Aiman Ezzat, Chief Executive Officer of Capgemini, emphasized that the company's strategy to "make AI real" is delivering measurable results. "Agentic AI is now at the center of virtually every client conversation, and Capgemini is recognized as the partner of choice for AI-driven, end-to-end business and operations transformation," Ezzat stated

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. The company is helping clients move beyond experimentation to turn AI ambition into tangible business outcomes.

The integration of WNS has proven particularly strategic, expanding Capgemini's pipeline for AI-powered operations projects

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. The newly formed Intelligent Business Operations business line is already generating significant commercial traction, with several large deals secured in recent months

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. This positions Capgemini to capture value as organizations accelerate the "agentification" of core business processes.

Defense, Security, and Technology Sovereignty Fuel Additional Growth

Beyond AI-powered business and operations transformation, Capgemini is benefiting from accelerating investments in defense and security, particularly in Europe where technology sovereignty has become a strategic priority

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. The company cited rising spending on defense, security, and technology sovereignty as key drivers of its improved 2026 outlook

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. Organizations are increasingly prioritizing security, resilience, and technological independence, creating robust demand for Capgemini's services in these areas.

Ezzat also noted that Capgemini is being recognized by industry analysts as a leader in Physical AI, which represents "the next frontier of enterprise transformation"

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. This emerging capability could position the company for long-term growth as enterprises explore AI applications beyond digital processes.

Regional Performance and Market Outlook

Growth strengthened across geographies during the first half of 2026, with particularly strong momentum in North America, the UK, and APAC, along with a return to growth in France

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. At constant currency growth, the company achieved 11.3% expansion in H1 and 11.6% in Q2, reflecting solid underlying trends complemented by recent acquisitions including WNS and Cloud4C

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The operating margin expanded to 12.5% of revenues in the first half, up 10 basis points year-on-year

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. While margins expanded in North America, they contracted in continental Europe, where benefits from the Fit-for-Growth initiatives announced in February 2026 are expected to build progressively from the second half onward. Clients continue to invest in business transformation while modernizing legacy systems, recognizing that a resilient digital core is essential for deploying AI at scale. This dual demand for transformation and modernization suggests sustained opportunities for IT services firms positioned to deliver comprehensive AI-driven enterprise transformation solutions.

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