Index Insider: What Acquisitions Reveal About M&A Priorities in 2H24 and Beyond
M&A has long been a key driver for revenue growth in the IT and business services sector.
ISG helps enterprises minimize risk, reduce stranded costs and unlock hidden value across the entire merger and divestiture lifecycle.
Mergers, acquisitions and divestitures are complex – and costly when mishandled. Common pitfalls include:
Transitional service agreement (TSA) delays and late notices driving unexpected costs
High stranded IT and license costs
Missed or misplaced contracts slowing Day 1 readiness
Poor communication with suppliers and new entities
Insufficient resources to manage execution
ISG helps you sidestep these risks with early vendor engagement, our proven playbook and expert contract lifecycle management.
Whether you’re planning an acquisition, executing a divestiture, or stabilizing operations post-Day 1, ISG supports you at every step.
Our proven methodology:
Assess – Opportunity scans (looking for areas to improve), due diligence (clearly defining what is in scope and the state of the supplier contract landscape ) and financial impact analysis (impact to current costs and planning for the transition costs).
Design – Strategy and target operating model development, detailed definition of service and program planning included.
Integrate/Separate – Contract separation, TSA planning, program management and systems transition.
Transform – License optimization, process redesign and synergy / non-synergy capture.
Operate – Governance, risk mitigation and ongoing optimization.
Every transaction is different. We tailor our approach to deliver value for mergers, spin-offs, and everything in between.
When the stakes are highest, global enterprises trust ISG. With more than $475B in sourcing deals advised and experience across thousands of complex integrations and separations, we bring unmatched data, independence and expertise.
AI investment is accelerating, but results remain uneven. Only one in four initiatives is meeting revenue impact expectations, at an average spend of $1.3M per use case. Enterprises are no longer asking whether AI works. They are being asked to prove that it pays.
We help you identify where AI agents deliver the most value, restructure workflows around them and build the accountability models that keep autonomous execution auditable. The enterprises that win won't be the ones that reacted. They'll be the ones that designed for it first.
We give enterprises transparent, benchmarkable pricing models that tag each resource unit with the autonomy level used to deliver it. As AI capability advances, your pricing keeps pace. Both buyers and providers can quantify what that progress is worth.
We bring analysis of more than $2.6 billion in tracked AI spend to every sourcing decision. Procurement, technology and finance leaders get the independent intelligence to rationalize vendor portfolios and hold providers accountable to measurable outcomes.
We embed controls at the point of data creation, define accountability for autonomous actions and build adaptive frameworks that keep pace with AI without impeding it. Enterprises that get this right don't just manage risk. They build the trust that lets them scale faster.
We ground strategy in research across 2,400 enterprise use cases, aligning investment to where impact is proven and designing the data, talent and governance foundations that move AI from pilots into the workflows that drive commercial results.
We benchmark your AI readiness against peers across 75 countries, identify the dimensions holding you back and give you a personalized roadmap to close the gap.
AI investment is shifting decisively toward revenue-generating functions. CRM automation, sales enablement and forecasting have replaced chatbots and IT productivity tools as the leading use case priorities, reflecting enterprise recognition that productivity gains alone do not satisfy board-level scrutiny. At the same time, use cases in production have doubled since 2024, and the portfolio is diversifying rapidly, with over 300 distinct function and industry-specific use cases now in active deployment.
ISG research across 2,400 enterprise use cases shows that the strongest AI returns are currently concentrated in compliance, risk management and quality control, not in the growth and cost outcomes most enterprises originally set out to achieve
The gap between where enterprises are investing and where AI is actually delivering is the defining commercial tension of 2025. Organizations that close it by targeting functions with structured, revenue-attributable data and clear ROI measures will establish performance benchmarks that compress the window for competitors still cycling through pilots. The standard is being set now.
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Learn MoreThe market loves flashy HR tech, but much of the real value sits behind the interface.
That is easy to forget in a market shaped by polished demos, hot buzzwords and high-visibility features designed to win attention quickly. Copilots, assistants, dashboards and sleek user experiences tend to dominate the conversation. They are easy to see, easy to explain and easy to remember. But some of the most important technology in the HR stack is the part most users never notice at all.
The insurance services market in North America is operating under a different set of structural pressures than many other regions, with the life and retirement (L&R) segment exerting much influence on sourcing behavior. Insurers are managing long-term obligations amid persistent margin pressure, high regulatory scrutiny and limited tolerance for operational disruption. Unlike shortcycle property and casualty (P&C) portfolios, L&R books mandate long-term servicing commitments from carriers, spanning decades, making stability, accuracy and continuity nonnegotiable operational requirements rather than just optimization. These conditions are reshaping the way enterprises assess providers in North America.
This ISG Provider Lens® Specialty Analytics & AI Services – Supply Chain 2026 study assesses providers enabling analytics- and AI‑driven supply chain transformation across planning, orchestration and execution. These providers help improve visibility, strengthen risk management, enhance forecasting accuracy and accelerate informed decision-making across planning, sourcing, manufacturing, logistics, warehousing, inventory, transportation and procurement. The report focuses on providers’ ability to enable AI-powered decision engines, real-time insights and proactive exception management that help enterprises build resilient, responsive and adaptive supply chains. It examines how providers support the evolution from traditional process execution toward intelligent orchestration, autonomous decision-making and outcome-driven supply chain operations.
I recently wrote about the increasing popularity and range of adoption choices for the PostgreSQL database. Having done so, it is also worth taking the time to assess the health of another significant open-source database: MySQL. As with PostgreSQL, potential adopters of MySQL have a variety of different options available, thanks to a broad ecosystem of service, support and software providers. Unlike PostgreSQL, which is developed by an open community, MySQL is owned and developed by a single provider. This has been a source of tension for the MySQL provider and user ecosystem throughout the project’s history. While MySQL-related products have prospered at Oracle since it became the project’s owner in 2010, tension resurfaced this year amid calls from some members of the MySQL community for Oracle to consider handing the MySQL project over to a provider-neutral, non-profit foundation. Given this discussion, it’s timely to evaluate the past, present and potential future of MySQL.
B2B buying has moved into a more fragmented operating model: more stakeholders, more digital research, more internal consensus-building and fewer moments where the seller actually controls the conversation. The implication for CROs is clear: Revenue teams need better technology to manage what happens between meetings, not just what happens inside the CRM. The complication is that many sales organizations still rely on email threads, static decks, scattered links and seller memory to move complex deals forward. So, the question becomes: What technology helps sellers guide a buying group without forcing the buyer back into a seller-led process? The answer is the digital sales room, a shared deal space that gives buyers and sellers one place to collaborate, track progress, surface intent and move from interest to decision.