
Capgemini Business Model Canvas
Unlock Capgemini’s strategic playbook with the full Business Model Canvas—an actionable, section-by-section breakdown of value propositions, customer segments, key partners, and revenue streams designed for investors, consultants, and founders seeking competitive insight and ready-to-use templates in Word and Excel.
Partnerships
Capgemini partners deeply with Microsoft Azure, Amazon Web Services, and Google Cloud to deliver cloud migration, infra management, and sovereign cloud solutions, leveraging joint go-to-market programs that helped generate an estimated €2.1bn in cloud-related revenue in FY 2024. By end-2025 the alliances prioritize integrated AI infrastructure and high-performance computing, including multi‑cloud AI stacks and HPC services supporting clients with >100 PB datasets and sub‑millisecond inference SLAs.
Capgemini partners with SAP, Salesforce and Oracle to co-develop industry modules and certify consultants on platform updates, supporting deployments across 50+ industries; in 2024 these alliances contributed to roughly €2.1bn in cloud and applications revenue, helping clients achieve faster go-live and average ERP ROI improvements of 20–30% within 18 months.
Capgemini partners with niche AI startups and platform leaders such as NVIDIA and Snowflake to embed advanced ML models and enterprise data fabrics into client systems; in 2024 these alliances supported >€2.3bn in AI-related deals across the Group, boosting deployment speed and reducing time-to-value by ~30%.
These integrations enable scalable, secure generative AI services—leveraging NVIDIA GPU clusters and Snowflake’s data cloud—to support regulated clients, with platform SLAs and encryption that helped retain 95% of key enterprise accounts in 2024.
Academic and Research Institutions
Capgemini partners with universities and research centers to co-develop technologies like quantum computing, sustaining a pipeline of innovations that feed into commercial services; in 2024 Capgemini invested ~€120m in R&D collaborations and reported 15 joint labs with academic partners.
These collaborations focus on long-term research and talent development—over 1,200 PhD and postdoc engagements since 2020—turning academic prototypes into marketable offerings.
- €120m R&D collaborations (2024)
- 15 joint labs with universities
- 1,200+ PhD/postdoc engagements since 2020
- Focus areas: quantum computing, AI, cybersecurity
Sustainability and ESG Framework Partners
Capgemini partners with environmental NGOs and ESG data providers (eg, CDP-aligned vendors) to help clients meet net-zero targets, supporting Scope 1–3 accounting and reducing client emissions; in 2024 Capgemini reported helping clients avoid ~1.2 MtCO2e via sustainable IT projects.
These partners supply reporting frameworks and tools (TCFD, SASB) that quantify the environmental impact of digital transformations and ensure compliance with global rules like EU CSRD and US SEC climate disclosure.
- Supports Scope 1–3 accounting
- Reported 1.2 MtCO2e avoided (2024)
- Uses TCFD, SASB, CDP-aligned tools
- Maps to EU CSRD and US SEC requirements
Capgemini’s key partners (Microsoft, AWS, Google, SAP, Salesforce, Oracle, NVIDIA, Snowflake, universities, NGOs) drove ~€6.7bn in cloud/AI/apps deals in 2024, €120m R&D, 15 joint labs, 1,200+ PhD/postdocs, and helped clients avoid ~1.2 MtCO2e; alliances now prioritize multi‑cloud AI stacks, HPC, sovereign cloud, and CSRD/SEC-compliant ESG tooling.
| Metric | 2024 |
|---|---|
| Cloud/AI/apps revenue | €6.7bn |
| R&D collaborations | €120m |
| Joint labs | 15 |
| PhD/postdocs since 2020 | 1,200+ |
| CO2e avoided | 1.2 Mt |
What is included in the product
A comprehensive, investor-ready Business Model Canvas for Capgemini outlining customer segments, channels, value propositions, revenue streams, key activities, partners, resources, cost structure and governance, with narrative insights, competitive advantage analysis, SWOT linkage, and a polished format for presentations, due diligence, and strategic decision-making.
Condenses Capgemini’s complex consulting and technology services model into a single editable canvas for quick stakeholder alignment and strategy workshops.
Activities
Capgemini Invent leads strategy and transformation consulting by pinpointing digital-market opportunities, reshaping org structures, and mapping technology roadmaps—aligning business vision with execution; in 2024 Capgemini reported Invent growth of ~12% and Invent revenue contribution around €2.8bn, reflecting increased demand for cloud, AI, and sustainability-driven model reinvention.
Capgemini designs, builds, and manages custom software supporting ERP, CRM, and industry apps, modernizing legacy estates and delivering new mobile/web platforms—its Applications & Technology segment generated €9.8bn in 2024, up 7% y/y. The firm uses agile squads and DevOps to achieve ~30–50% faster release cycles and continuous improvement, cutting time-to-market and lowering maintenance costs.
Capgemini manages global enterprises’ complex IT infrastructure—hybrid and multi-cloud—ensuring >99.95% availability, enterprise-grade security, and scalable platforms; in FY 2024 Capgemini reported Infrastructure & Cloud services revenue of €6.3bn, up ~8% YoY. This includes cost optimization via automation and AI-driven monitoring (reducing OPEX by ~20% in client pilots) to deliver a resilient foundation for uninterrupted business operations.
Engineering and Research and Development Services
Capgemini Engineering delivers digital engineering for automotive, aerospace, and life sciences, using digital twins, smart factory rollouts, and connected-product development to cut time-to-market and boost efficiency.
In 2024 Capgemini reported ~€18.7bn revenue; Capgemini Engineering accounted for about 20% (~€3.7bn) and helped clients reduce development cycles by up to 30% in pilot programs.
- Digital twins: virtual replicas for faster validation
- Smart factories: IoT + automation to raise OEE
- Connected products: software-defined features
- Impact: ~30% faster launches in pilots
Generative AI Implementation and Scaling
By end-2025 Capgemini targets enterprise-wide deployment of generative AI, moving ~60% of pilots to production and targeting a 15–25% productivity uplift per use case through data preparation, model fine-tuning, and cloud MLOps.
They embed AI ethics and governance (policy, explainability, bias checks), aim to reduce model deployment time from 90 to 30 days, and expect measurable ROI within 12–18 months.
- 60% pilot-to-production target
- 15–25% productivity uplift
- 30-day deployment goal
- 12–18 months ROI horizon
- Mandatory ethics, bias, explainability checks
Capgemini: strategy & transformation (Invent €2.8bn, +12% in 2024), Applications & Technology (€9.8bn, +7%), Infrastructure & Cloud (€6.3bn, +8%), Engineering (~€3.7bn, 20% of €18.7bn); targets: 60% gen-AI pilots to production by end-2025, 15–25% productivity uplift, 30-day deployment, 12–18 month ROI.
| Activity | 2024 rev (€bn) | Growth | Key metric |
|---|---|---|---|
| Invent | 2.8 | +12% | strategy & transformation |
| Apps & Tech | 9.8 | +7% | agile DevOps, faster releases |
| Infra & Cloud | 6.3 | +8% | >99.95% availability |
| Engineering | 3.7 | ~ | ~30% faster launches |
What You See Is What You Get
Business Model Canvas
The Capgemini Business Model Canvas shown here is the actual deliverable, not a mockup—it's a direct snapshot of the exact file you will receive after purchase.
Upon completing your order, you’ll instantly get the full, editable document formatted exactly as previewed, ready for presentation, editing, or sharing in Word and Excel formats.
No placeholders or truncated content—what you see is the real, complete template included with your purchase.
Original: $10.00
-65%$10.00
$3.50Product Information
Product Information
Shipping & Returns
Shipping & Returns
Description
Unlock Capgemini’s strategic playbook with the full Business Model Canvas—an actionable, section-by-section breakdown of value propositions, customer segments, key partners, and revenue streams designed for investors, consultants, and founders seeking competitive insight and ready-to-use templates in Word and Excel.
Partnerships
Capgemini partners deeply with Microsoft Azure, Amazon Web Services, and Google Cloud to deliver cloud migration, infra management, and sovereign cloud solutions, leveraging joint go-to-market programs that helped generate an estimated €2.1bn in cloud-related revenue in FY 2024. By end-2025 the alliances prioritize integrated AI infrastructure and high-performance computing, including multi‑cloud AI stacks and HPC services supporting clients with >100 PB datasets and sub‑millisecond inference SLAs.
Capgemini partners with SAP, Salesforce and Oracle to co-develop industry modules and certify consultants on platform updates, supporting deployments across 50+ industries; in 2024 these alliances contributed to roughly €2.1bn in cloud and applications revenue, helping clients achieve faster go-live and average ERP ROI improvements of 20–30% within 18 months.
Capgemini partners with niche AI startups and platform leaders such as NVIDIA and Snowflake to embed advanced ML models and enterprise data fabrics into client systems; in 2024 these alliances supported >€2.3bn in AI-related deals across the Group, boosting deployment speed and reducing time-to-value by ~30%.
These integrations enable scalable, secure generative AI services—leveraging NVIDIA GPU clusters and Snowflake’s data cloud—to support regulated clients, with platform SLAs and encryption that helped retain 95% of key enterprise accounts in 2024.
Academic and Research Institutions
Capgemini partners with universities and research centers to co-develop technologies like quantum computing, sustaining a pipeline of innovations that feed into commercial services; in 2024 Capgemini invested ~€120m in R&D collaborations and reported 15 joint labs with academic partners.
These collaborations focus on long-term research and talent development—over 1,200 PhD and postdoc engagements since 2020—turning academic prototypes into marketable offerings.
- €120m R&D collaborations (2024)
- 15 joint labs with universities
- 1,200+ PhD/postdoc engagements since 2020
- Focus areas: quantum computing, AI, cybersecurity
Sustainability and ESG Framework Partners
Capgemini partners with environmental NGOs and ESG data providers (eg, CDP-aligned vendors) to help clients meet net-zero targets, supporting Scope 1–3 accounting and reducing client emissions; in 2024 Capgemini reported helping clients avoid ~1.2 MtCO2e via sustainable IT projects.
These partners supply reporting frameworks and tools (TCFD, SASB) that quantify the environmental impact of digital transformations and ensure compliance with global rules like EU CSRD and US SEC climate disclosure.
- Supports Scope 1–3 accounting
- Reported 1.2 MtCO2e avoided (2024)
- Uses TCFD, SASB, CDP-aligned tools
- Maps to EU CSRD and US SEC requirements
Capgemini’s key partners (Microsoft, AWS, Google, SAP, Salesforce, Oracle, NVIDIA, Snowflake, universities, NGOs) drove ~€6.7bn in cloud/AI/apps deals in 2024, €120m R&D, 15 joint labs, 1,200+ PhD/postdocs, and helped clients avoid ~1.2 MtCO2e; alliances now prioritize multi‑cloud AI stacks, HPC, sovereign cloud, and CSRD/SEC-compliant ESG tooling.
| Metric | 2024 |
|---|---|
| Cloud/AI/apps revenue | €6.7bn |
| R&D collaborations | €120m |
| Joint labs | 15 |
| PhD/postdocs since 2020 | 1,200+ |
| CO2e avoided | 1.2 Mt |
What is included in the product
A comprehensive, investor-ready Business Model Canvas for Capgemini outlining customer segments, channels, value propositions, revenue streams, key activities, partners, resources, cost structure and governance, with narrative insights, competitive advantage analysis, SWOT linkage, and a polished format for presentations, due diligence, and strategic decision-making.
Condenses Capgemini’s complex consulting and technology services model into a single editable canvas for quick stakeholder alignment and strategy workshops.
Activities
Capgemini Invent leads strategy and transformation consulting by pinpointing digital-market opportunities, reshaping org structures, and mapping technology roadmaps—aligning business vision with execution; in 2024 Capgemini reported Invent growth of ~12% and Invent revenue contribution around €2.8bn, reflecting increased demand for cloud, AI, and sustainability-driven model reinvention.
Capgemini designs, builds, and manages custom software supporting ERP, CRM, and industry apps, modernizing legacy estates and delivering new mobile/web platforms—its Applications & Technology segment generated €9.8bn in 2024, up 7% y/y. The firm uses agile squads and DevOps to achieve ~30–50% faster release cycles and continuous improvement, cutting time-to-market and lowering maintenance costs.
Capgemini manages global enterprises’ complex IT infrastructure—hybrid and multi-cloud—ensuring >99.95% availability, enterprise-grade security, and scalable platforms; in FY 2024 Capgemini reported Infrastructure & Cloud services revenue of €6.3bn, up ~8% YoY. This includes cost optimization via automation and AI-driven monitoring (reducing OPEX by ~20% in client pilots) to deliver a resilient foundation for uninterrupted business operations.
Engineering and Research and Development Services
Capgemini Engineering delivers digital engineering for automotive, aerospace, and life sciences, using digital twins, smart factory rollouts, and connected-product development to cut time-to-market and boost efficiency.
In 2024 Capgemini reported ~€18.7bn revenue; Capgemini Engineering accounted for about 20% (~€3.7bn) and helped clients reduce development cycles by up to 30% in pilot programs.
- Digital twins: virtual replicas for faster validation
- Smart factories: IoT + automation to raise OEE
- Connected products: software-defined features
- Impact: ~30% faster launches in pilots
Generative AI Implementation and Scaling
By end-2025 Capgemini targets enterprise-wide deployment of generative AI, moving ~60% of pilots to production and targeting a 15–25% productivity uplift per use case through data preparation, model fine-tuning, and cloud MLOps.
They embed AI ethics and governance (policy, explainability, bias checks), aim to reduce model deployment time from 90 to 30 days, and expect measurable ROI within 12–18 months.
- 60% pilot-to-production target
- 15–25% productivity uplift
- 30-day deployment goal
- 12–18 months ROI horizon
- Mandatory ethics, bias, explainability checks
Capgemini: strategy & transformation (Invent €2.8bn, +12% in 2024), Applications & Technology (€9.8bn, +7%), Infrastructure & Cloud (€6.3bn, +8%), Engineering (~€3.7bn, 20% of €18.7bn); targets: 60% gen-AI pilots to production by end-2025, 15–25% productivity uplift, 30-day deployment, 12–18 month ROI.
| Activity | 2024 rev (€bn) | Growth | Key metric |
|---|---|---|---|
| Invent | 2.8 | +12% | strategy & transformation |
| Apps & Tech | 9.8 | +7% | agile DevOps, faster releases |
| Infra & Cloud | 6.3 | +8% | >99.95% availability |
| Engineering | 3.7 | ~ | ~30% faster launches |
What You See Is What You Get
Business Model Canvas
The Capgemini Business Model Canvas shown here is the actual deliverable, not a mockup—it's a direct snapshot of the exact file you will receive after purchase.
Upon completing your order, you’ll instantly get the full, editable document formatted exactly as previewed, ready for presentation, editing, or sharing in Word and Excel formats.
No placeholders or truncated content—what you see is the real, complete template included with your purchase.











