The S&OP / IBP Landscape in Numbers
$28.4B
Global SCM software market (2025)
Grand View Research
$53B
SCM software with agentic AI by 2030
Gartner, April 2026
+1-2pp
EBIT improvement from mature IBP
McKinsey (170+ companies)
23%
of supply chain orgs have a formal AI strategy
Gartner survey, Jan 2025
Sources:
Grand View Research — SCM Market Report |
Gartner via IT Supply Chain, April 2026 |
McKinsey — A better way to drive your business |
Gartner AI Strategy Survey, June 2025
Gartner S&OP Maturity Model — Where Most Organisations Get Stuck
1
React
Firefighting. Disconnected plans. Spreadsheet-driven.
Most common
2
Anticipate
Basic demand planning. Monthly S&OP cycle exists but siloed.
Most common
3
Integrate
Cross-functional alignment. Demand and supply connected.
Transition zone
4
Collaborate
External partners integrated. Financial planning aligned.
IBP starts here
5
Orchestrate
AI-driven. Autonomous sensing. Continuous optimisation.
Very few
Most organisations remain at stages 1-3. The transition from stage 3 (Integrate) to stage 4 (Collaborate) is where S&OP becomes IBP — shifting from operational alignment to strategic, executive-led decision-making.
Source:
Gartner Five-Stage S&OP Maturity Model (original report paywalled) |
Public summary: Jedox — 5 S&OP Maturity Levels |
Arkieva — S&OP vs IBP maturity stages
Market Data — SCM Software & AI Adoption
SCM Software Market Size (USD Billions)
Agentic AI Adoption in SCM (% of Enterprises)
Sources & methodology:
SCM market — Grand View Research, 2025: published 2024 and 2025 actuals and an 11.4% CAGR forecast through 2030. Year-by-year 2026–2030 bars are TrendsOnFire's linear projection applying the published CAGR to the 2025 base (shown with asterisks).
AI adoption — Gartner, April 2026: published anchor points of 5% in 2025 and 60% by 2030. Mid-year values 2026–2029 are TrendsOnFire's linear interpolation between those two anchors (shown with asterisks), not Gartner's own year-by-year forecast.
The Business Case — Measured IBP Impact
IBP Impact vs. Non-IBP Organisations (McKinsey, 170+ companies)
The Reality Check — AI Maturity Gap
Sources:
IBP impact — McKinsey — A better way to drive your business (assessment of 170+ companies over 5 years; chart shows McKinsey's published range for each benefit, not a single point estimate). |
AI gaps — BCG — Supply Chain Planning 2026 |
Gartner AI Strategy Survey |
Gartner — 60% of digital adoption will fail by 2028
Key Signals — 2026 and Beyond
AI Disruption
SCM software with agentic AI could reach $53B by 2030 — up from <$2B in 2025
Gartner projects 60% of enterprises using SCM software will adopt agentic AI capabilities by 2030, up from 5% in 2025.
Talent Gap
90% of supply chain leaders say they lack sufficient talent for digitisation
McKinsey's Global Supply Chain Leader Survey found the biggest barrier to digital transformation is not technology — it is people and skills.
Adoption Reality
Only ~20% of organisations report meaningful value from AI in supply chain planning
BCG found that as little as 7% report value from agentic or GenAI usage. What separates leaders from laggards is not technology itself, but how planners apply it.
Workforce Impact
55% of supply chain leaders expect agentic AI to reduce entry-level hiring needs
A Gartner survey of supply chain leaders suggests AI will reshape junior roles — making experienced planners who can govern AI systems more valuable.
Failure Risk
60% of supply chain digital adoption efforts may fail to deliver value by 2028
Gartner attributes this to insufficient investment in learning and development — the technology works, but people are not trained to use it effectively.
Scale
SAP IBP: 2,293 companies, 30,000+ daily users across 79 countries
SAP's Integrated Business Planning platform runs 20,000 forecast algorithms daily, processing 8.1 trillion planning points in 2025 — showing the scale of modern planning operations.
All signal cards are individually sourced above. Each card links to the original publication.
From S&OP to IBP — What Changes and Why It Matters
Oliver Wight coined the term IBP in 2005 to mark the shift from operational alignment to strategic, executive-led decision-making. The key difference: IBP starts at the executive level, with each cycle culminating in a Management Business Review that connects planning to P&L outcomes.
Sources:
Oliver Wight EAME — Transitioning from S&OP to IBP |
Consultancy.uk — Oliver Wight on evolution of business planning |
Arkieva — S&OP vs IBP
Who Uses What — Company S&OP / IBP Implementations
Sources: Each row links to its original case study or press release. All company-platform combinations are verified from public vendor announcements. Oliver Wight is a process consultancy (not software) — companies using OW may also use a software platform.
Supply Chain Planning Software Landscape — Gartner Magic Quadrant 2024
Gartner's Magic Quadrant evaluates vendors on two axes: Ability to Execute (product quality, sales, customer experience) and Completeness of Vision (market understanding, innovation, strategy). 20 vendors were evaluated in the 2024 edition.
Leaders
Score high on both execution and vision. Established platforms with proven track records and strong product roadmaps.
Kinaxis Maestro — 11th year as Leader, C$483M revenue (2024)
Oracle SCP Cloud — end-to-end with ERP integration
Blue Yonder Luminate — $1.36B revenue, Panasonic-owned
OMP Unison Planning — 9th consecutive Leader, process mfg strength
Logility — moved up from Challenger in 2024
Challengers
Strong execution capability and large customer base, but narrower strategic vision or product innovation compared to Leaders.
SAP IBP — 2,293 companies, deepest ERP integration
Anaplan — $10.4B acquisition by Thoma Bravo (2022)
John Galt Solutions — Atlas Planning Platform
Visionaries
Innovative technology and forward-looking roadmaps, but may have smaller customer bases or less proven execution at scale.
o9 Solutions — $3.7B valuation, returned to Leader in 2025
GAINSystems — inventory & supply chain optimisation
e2open — returned to Visionary in 2024
Dassault Systèmes — DELMIA Quintiq
Source:
Gartner Magic Quadrant for Supply Chain Planning Solutions, April 2024 (paywalled) |
Vendor announcements:
Kinaxis,
Oracle,
OMP,
o9 (2025) |
Revenue data:
Kinaxis IR,
Blue Yonder,
o9 (Latka),
Anaplan/Thoma Bravo
Key Platform Revenue Comparison (2024, USD Millions)
Gartner Peer Insights Ratings (out of 5.0)
Peer Insights are ratings submitted by verified enterprise customers who have implemented and used the software. Higher scores indicate stronger customer satisfaction with deployment, support, and product capabilities.
Sources:
Revenue: Kinaxis IR (C$483M = ~$355M USD), Blue Yonder FY24, o9 Latka, Anaplan last public filing |
Ratings: Gartner Peer Insights — Supply Chain Planning Solutions
The Evolution: From MRP to AI-Powered IBP
1964
First MRP System
Joseph Orlicky (IBM) implements the first Material Requirements Planning system at Black & Decker. By 1975, ~700 companies use MRP.
1983
MRP II — Manufacturing Resource Planning
Oliver Wight expands MRP into MRP II, integrating scheduling, capacity planning, marketing, engineering and HR into a single planning framework.
1985-1988
S&OP Is Born
Dick Ling (Oliver Wight) creates Sales & Operations Planning. The first S&OP book "Orchestrating Success" is published in 1988 by Ling & Goddard.
Late 1990s
Portfolio Integration
Oliver Wight adds product and portfolio management to S&OP, connecting new product introduction with demand and supply planning.
2005
Integrated Business Planning (IBP)
Oliver Wight coins the term IBP to supersede S&OP — adding full financial integration, strategic alignment, and executive-led decision-making.
2020s
AI-Powered Planning
Demand sensing, digital twins, and machine learning enter supply chain planning. Cloud-native platforms (o9, Kinaxis Maestro) challenge legacy ERP-embedded tools.
2026+
Agentic AI & Autonomous Planning
Gartner forecasts SCM software with agentic AI will grow from <$2B (2025) to $53B by 2030. Autonomous decision-making, self-healing supply chains, and AI agents that execute — not just recommend — are the next frontier. 55% of supply chain leaders expect AI to reduce entry-level hiring needs, shifting the role of the planner from data processing to exception management and strategic oversight.