CPG market growth: digital + premiumization
The global CPG market is projected to grow at a 3.7% CAGR to about $4.45 trillion by 2032, with digital commerce and premiumization named as the key growth drivers reported. That means revenue gains will likely be channel- and SKU‑specific — a natural place to use decomposition trees and margin-mix visuals in Power BI.
Grand View Research projected) the global CPG market at about $7.80 trillion by 2033 (4.1% CAGR), while MarketsandMarkets estimated) roughly $4.24 trillion by 2030 (4.2% CAGR), highlighting a wide range of vendor-methodology outcomes to reconcile when setting long-range targets. Euromonitor reported FMCG e-commerce sales grew 11% year-over-year in 2024), and the U.S. Census Bureau reported) that e-commerce accounted for 18.3% of total retail sales in Q4 2025 — two data points that pinpoint online channel acceleration versus brick‑and‑mortar. Euromonitor’s megatrends model projects) a 1% per‑capita CAGR for premiumisation-related spending through 2032, and NielsenIQ measured) that Premium+ SKUs now represent about 25% of FMCG value in Western Europe, both signals that SKU mix shifts can lift category value. LEK Consulting found) SKU rationalization can add roughly 65–90 basis points to gross margin, while Circana’s recent product updates introduced) channel splits and point‑of‑sale analytics to surface SKU‑by‑channel performance, underscoring the need for channel‑level P&Ls and contribution‑margin frameworks. Microsoft’s Power BI documentation describes) the Decomposition Tree as an AI visual for root‑cause analysis with “AI splits” and locking, and practitioner guides (Zebra BI, YouTube tutorials) show) how Price‑Volume‑Mix and waterfall visuals can be built in Power BI to quantify price, volume and mix impacts on revenue and margin. McKinsey reported) that firms where planning leaders hold influence in the C‑suite are materially more likely to outperform competitors, and Protiviti’s survey found) that CPG finance teams are prioritizing data standardization and FP&A modernization to translate channel‑ and SKU‑level analytics into executive decisions.