Capgemini
Enterprise consulting, engineering and technology services group.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Capgemini SE
- Entity type
- COMPANY
- Founded
- 1967
- Headquarters
- France
- Company size
- >5,000
- Market role
- Agency & Consultancy
- Ticker
- CAP
- Official website
- capgemini.com
What Capgemini does
Capgemini operates a professional services model built around selling high-value consulting, design, engineering, cloud, data and technology delivery to enterprises. It creates value by combining advisory capabilities with implementation and ongoing managed operations, enabling clients to move from strategy through build and run within a single supplier relationship. Acquisitions have extended its scale in engineering and North America, supporting broader cross-sell and larger transformation programmes.
Category differentiation
Capgemini is a corporate consulting and technology services group, not a standalone software vendor or consumer app. It should be distinguished from pure strategy consultancies and from product-led cloud software companies.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Capgemini is a France-headquartered global consulting and technology services group serving enterprises with strategy consulting, digital transformation, engineering, cloud, data, AI, customer experience and managed services. Its portfolio includes consulting through Capgemini Invent, design via frog, technology delivery through Sogeti, and engineering and R&D services through Capgemini Engineering. The company generates revenue primarily from enterprise consulting engagements, systems integration, transformation programmes and long-term managed service contracts. Its customers are large enterprises and sector-specific organisations such as insurers, industrial groups, IT departments, marketing leaders and product teams that buy external expertise to modernise operations, build digital products and run complex technology estates.
Company news briefing
Briefing updated:
Capgemini continues to anchor its enterprise execution through key digital sovereignty and infrastructure initiatives, serving as an anchor client to guarantee European Compute Units for Mistral AI's regional expansion and participating in Anthropic's Claude Frontier Academy training program. Building on its focus on industrialising agentic customer experiences, the firm recently partnered with NICE to deliver an eight-figure CXone and Cognigy contract for the UK tax authority HMRC, and integrated its technology into Conductor's new AgentStack ecosystem. Furthermore, a recent Capgemini Research Institute study reveals that 93% of organisations treat digital sovereignty as a board-level priority.
Business model & monetisation
Capgemini monetises through consulting and managed service contracts, chiefly using time-and-materials billing, fixed-price project fees and multi-year service retainers. Revenue is concentrated in enterprise transformation programmes spanning consulting, systems integration, engineering, cloud migration, data platforms and ongoing managed operations.
- Consulting and transformation engagements
- Service Fee
- Managed services and operations
- Service Fee
- Engineering and R&D services
- Service Fee
- Design and experience services
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Subsidiaries & acquisitions
- Syniti
Enterprise software for data migration, quality and governance.
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
German Firms Show High Digital Dependencies: Capgemini Study
Infrastructure · Recorded impact score: 3/5
A Capgemini Research Institute study reveals that digital sovereignty has become a strategic management priority globally, with 93% of organizations discussing it at board level. However, only 59% see full technological independence as unrealistic, leading many to adopt 'resilient interdependence.' German companies show particularly high dependencies, with 94% exhibiting significant reliance on external tech suppliers, the highest among surveyed countries. The study highlights AI as a priority action area for 75% globally and 82% in Germany. Key challenges include vendor lock-in, with 36% of firms needing over 12 months to switch critical providers, and a lack of transparency, as only 14% have full visibility into their dependencies. Despite these risks, less than half are willing to pay extra for sovereignty, though those willing would accept a 23% premium.
- 93% of surveyed organizations discuss digital sovereignty at board level.
- 94% of German organizations show significant digital dependencies, highest among surveyed countries.
Late Microwave Delivery Explains Customer Service Failures
Customer Experience · Recorded impact score: 1/5
This editorial uses a personal anecdote about a late microwave delivery to argue that customer service should focus on reducing friction rather than chasing 'delight'. The author suggests applying site reliability engineering (SRE) principles to customer service, emphasizing metrics like ticket reassignment rates, repeated information requests, and misrouted cases. It cites Capgemini research showing low customer satisfaction and a Microsoft initiative using an internal AI support agent to cut human-led tickets by 40%. The piece recommends engineering out obstacles, improving routing, and increasing self-service deflection to make support more reliable and less frustrating.
- Capgemini research found less than half of customers are satisfied with customer service, and nearly 40% tolerate issues rather than face cumbersome processes.
- Microsoft has scaled an internal AI support agent to more than 300,000 employees across 100+ countries, aiming to cut human-led support tickets by 40%.
Data Gravity, Not Cost, Drives Martech Tool Cuts
Data & Identity · Recorded impact score: 4/5
The article argues that martech stack consolidation is driven less by cost reduction and more by 'data gravity' — the compounding drag of fragmented customer data across systems. It highlights that only 22% of marketers report high CDP utilization, and that Databricks' June 2026 launch of CustomerLake, an agentic CDP native to its lakehouse, is pressuring standalone CDP vendors. Gartner predicts 80% of net-new CDP deployments will be embedded in or composable with data platforms by 2030, and divides the CDP market into 'platformization' and 'agentification' paths. Marketers are advised to treat CDP renewals as infrastructure decisions, evaluate zero-copy access, and test warehouse-native activation before committing to a full migration.
- Only 22% of marketers report high CDP utilization.
- Databricks launched CustomerLake, an agentic CDP, in June 2026.
Switch AI Models Tomorrow, Not the Platform Beneath
Infrastructure · Recorded impact score: 2/5
This German opinion column argues that AI models are becoming interchangeable while the underlying software platforms—where business rules, data, and processes reside—create lasting lock-in. It cites a Reuters analysis from August 5, 2026, naming SAP, Capgemini, Sopra Steria, and OVHcloud as winners of Europe's AI boom because budgets increasingly flow into core systems and data integration. Siemens, Renault, and Orange reportedly run AI models from multiple providers in parallel. Abstraction tools such as LiteLLM ease model switching, but business logic embedded in ERP/CRM platforms remains sticky. The article references an ECB SAFE survey showing over 70 percent of euro-area companies use AI, yet only seven percent have deeply integrated it. It also notes the EU Commission's preliminary June 25, 2026 finding that AWS and Microsoft Azure should be examined under the Digital Markets Act due to lock-in effects and switching costs.
- A Reuters analysis (Aug. 5, 2026) identified SAP, Capgemini, Sopra Steria, and OVHcloud as winners of Europe's AI boom.
- Capgemini raised its growth forecast in late July 2026.
NICE Lands Record Deal, But AI Growth Questions Persist
Financials · Recorded impact score: 4/5
NICE reported Q2 2026 earnings with total revenue of $782.3 million, up 8% year-over-year, and AI annual recurring revenue of $362 million, up 52%. The company landed its largest CXone and Cognigy deal, an eight-figure contract with the UK tax authority HMRC, delivered with Capgemini. Despite beating guidance, shares fell about 6% as investors questioned decelerating organic AI growth, renewal discounts, and the contribution of the Cognigy acquisition. Analysts probed competitive dynamics in major CX deals and NICE's partnership with RingCentral. CEO Scott Russell defended the unified platform approach, emphasizing scale and proprietary interaction data as key advantages. The results reflect broader enterprise demand for integrated AI and customer engagement platforms.
- NICE reported Q2 2026 revenue of $782.3 million, up 8% YoY.
- AI annual recurring revenue reached $362 million, up 52% YoY, but growth slowed from 66%.
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Questions about Capgemini
What is Capgemini?
Capgemini is a France-based consulting and technology services group that helps enterprises with strategy, engineering, cloud, data, AI and managed transformation delivery.
Who uses Capgemini?
Its customers are mainly large enterprises, senior executives, IT teams, engineering organisations, product teams, marketing leaders and industry-specific clients such as insurers.
How does Capgemini make money?
It earns revenue from enterprise consulting projects, systems integration work, engineering services and long-term managed service contracts, typically billed through project fees, time-and-materials and retainers.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
13 publicly documented primary sources and citations linked across the market graph.
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