Deep study
Future of Analytics 2030 — The 5-Year Long View
As of 2026-08-16
Five-year market scenarios, agentic analytics, platform convergence, workforce redesign and the consultant archetype of 2030.
What's inside
21 chapters:
- Executive summary
- Sapphire 2026 overlay — the 2030 platform is now legible
- Cross-study synthesis — 2030 as an operating architecture
- Latest news intelligence — strategic impacts
- Part I — The 3-scenario framework for SAP analytics 2030
- Part II — Agentic AI as the 2030 default
- Part III — Hyperscaler competition and cross-stack equilibrium
- Part IV — Regulatory equilibrium 2030
- Part V — Talent supply and workforce architecture 2026-2030
- Part VI — Market structure evolution 2026-2030
- Part VII — The practitioner's investment roadmap for 2026-2030
- Part VIII — Methodology, sources, glossary, refresh cadence, disclaimer
- Part IX — Industries and the 2030 analytics transformation wave
- Part X — The geographic 2030 forecast
- Part XI — Skills evolution for the 5-year practitioner
- Part XII — Related studies and further reading
- Part XIII — Forward-looking scenarios across the 5y / 10y / 15y horizons
- Part XIV — Risk register 2026-2030
- Part XV — The practitioner's 2030 readiness checklist
- Part XVI — Executive action plan: the 90-day / 12-month / 36-month map
- Closing note — the 2030 horizon as a practitioner's north star
Study card
- Audience
- SAP analytics consultants (employee + freelance), CIOs, CDOs, practice leads, recruiters, end-customer buyers, PE / M&A practitioners — every stakeholder running strategic planning across the 5-year horizon
- Coverage
- 2026-2030 horizon · 3 weighted scenarios · agentic AI · hyperscaler equilibrium · regulatory equilibrium · workforce 2030 · consultant + firm 2030 archetypes · industries 2030 · geography 2030 · investment playbook
- Geography
- EMEA priority (DACH + UK + Iberia + Nordics + Benelux + France + Italy + CEE) · NA + APAC + MEA secondary
- Refresh cadence
- ad-hoc with ≥6-month gap; refreshed on major SAP strategic shifts (Sapphire keynotes), EU AI Act enforcement track-record updates, hyperscaler share-shift inflections (Microsoft Fabric / Databricks / Snowflake), or SAP cloud-revenue trajectory deviations of >10 % from Analytics Legends research
- Sources cited
- 43
Full study available to members.
In-depth analysis, sourced data, exhibits and scenarios — inside the app.