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Information Services Group (III) Status update summary

Event summary combining transcript, slides, and related documents.

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Status update summary

9 Jul, 2026

Market overview and key trends

  • Combined technology services and cloud market ACV reached $42.3B in Q2, up 43% YoY, marking the highest growth rate recorded and the first time surpassing $40B in a quarter.

  • Growth is driven primarily by as-a-service segments (IaaS/SaaS), up 53% in H1, while managed services saw modest 2.7% growth, with ITO declining and BPO rebounding strongly.

  • New scope activity in managed services hit an all-time high, signaling active portfolio reshaping, provider consolidation, and alignment with AI and modernization strategies.

  • AI and automation are shifting demand away from traditional labor-intensive work toward integrated, outcome-focused, and industry-specific services.

  • The market is increasingly competitive, with GCCs, internal AI teams, and specialist firms challenging traditional providers.

Regional and industry dynamics

  • Americas managed services ACV declined 5.5% in H1, while EMEA rose 21% and Asia Pacific surpassed $1B for the first time in six quarters.

  • EMEA's growth is fueled by new scope and consolidation, while BFSI and energy sectors improved, and manufacturing remains under pressure due to ITO and engineering weakness.

  • Demand is uneven across regions and industries, with back office and industry-specific BPO showing strength, but customer experience BPO and software-heavy engineering underperforming.

Deal structures and provider strategies

  • Enterprises are consolidating work with large providers for cost savings and using smaller providers for niche innovation, creating a 'dumbbell' market structure.

  • Two main deal shapes are emerging: long-duration, total cost of ownership (TCO) deals for cost reduction, and shorter, internal rate of return (IRR) deals for rapid outcomes, often leveraging AI.

  • Provider portfolios are being reshaped by client mandates for modernization, cost reduction, and productivity, with AI-augmented models generating new demand.

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