What is the GE-McKinsey Matrix?

The GE-McKinsey Matrix is a 3x3 portfolio planning framework that ranks business units on two composite dimensions, industry attractiveness and business unit strength, and assigns each cell one of three strategic actions: invest and grow, selectively hold, or harvest and divest. It guides where a diversified company should allocate capital.

TL;DR

Built for portfolio decisions: McKinsey designed the nine-box grid in the early 1970s to help General Electric allocate capital across roughly 150 business units.
Two composite axes, not two metrics: Industry attractiveness and business unit strength each bundle multiple weighted criteria, which is the key difference from the BCG Growth-Share Matrix.
Three strategic zones: Cells along and above the diagonal point to grow or hold; cells below the diagonal point to harvest or divest.
Strongest for multi-business firms: The matrix earns its keep when a company has at least five business units competing for the same capital pool.

Definition: The GE-McKinsey Matrix is a strategic planning tool used to assess and prioritize business units or product lines within a company, based on their respective strengths and the attractiveness of their industry.

Why McKinsey built the matrix for GE

McKinsey designed the nine-box grid in the early 1970s for General Electric. GE was running roughly 150 business units and found the Boston Consulting Group's Growth-Share Matrix too blunt for capital allocation decisions of that scale (McKinsey Quarterly, 2008).

The BCG Matrix relied on two single metrics, market growth and relative market share. The new framework swapped those single proxies for two composite scores, each weighting several underlying drivers.

The framework helps companies judge each business unit by two factors that will determine whether it is going to do well in the future: the attractiveness of the relevant industry and the unit's competitive strength within that industry.

― McKinsey Quarterly, Enduring Ideas (September 2008)

The two axes and what they measure

The matrix plots business units on a 3x3 grid using two composite dimensions. Each axis is a weighted score, not a single metric.

Dimension	What it measures	Typical inputs
Industry attractiveness (vertical)	How profitable and growth-friendly the industry is	Market size, growth rate, profit margins, competitive intensity, regulatory environment, cyclicality
Business unit strength (horizontal)	How well the unit can compete inside that industry	Relative market share, brand equity, resource capability, cost position, customer loyalty, quality of management

Both dimensions are scored High, Medium, or Low, producing the nine cells.

How to build the matrix in five steps

Identify your strategic business units (SBUs). List the distinct units or product lines that compete for shared capital and management attention.
Weight the criteria for industry attractiveness. Pick five to seven factors that matter for your portfolio and assign weights that sum to 1.0. Score each industry and calculate a weighted total.
Weight the criteria for business unit strength. Repeat the process for the horizontal axis, using factors like market share, brand, and competitive position.
Plot each SBU. Place the unit in the cell that matches its two scores. Circle size can encode revenue, share-of-portfolio, or another scale variable.
Map cells to strategic action. Cells above the diagonal lean toward grow and build; cells on the diagonal lean toward selective hold; cells below the diagonal lean toward harvest, divest, or shutdown.

When the GE-McKinsey Matrix is the right tool

The matrix earns its keep when three conditions hold:

The company runs five or more distinct business units that share a capital pool.
The units operate in different industries, so a single market-growth metric does not compare them fairly.
Leadership has access to enough data to score the underlying criteria with confidence.

For a single-product company, a strategy pyramid or OKR cascade does more work than a portfolio matrix. For two-axis comparisons inside a single industry, the simpler BCG Growth-Share Matrix is often enough.

Where GE-McKinsey rollouts typically break

Three failure modes account for most disappointing applications:

Scoring theatre. Teams assign weights without data and end up with a matrix that reflects executive preferences rather than market reality. The fix is to pre-commit to data sources for each criterion before scoring.
Static snapshots. Industries shift, but matrices sit in a deck for a year. The fix is to rescore at least annually and trigger a rescore when a major input changes (a regulatory shift, a new entrant, a technology adoption jump).
Hidden cross-unit value. The matrix treats each SBU as independent, which can mask shared distribution, shared R&D, or shared brand strength. The fix is to layer a cross-unit value review on top of the matrix before finalizing divest decisions.

Comparing the GE-McKinsey Matrix to the BCG Matrix

The two frameworks share a portfolio-planning intent but differ in resolution.

Aspect	GE-McKinsey Matrix	BCG Growth-Share Matrix
Grid size	3x3 (nine cells)	2x2 (four cells)
Vertical axis	Industry attractiveness (composite)	Market growth rate (single metric)
Horizontal axis	Business unit strength (composite)	Relative market share (single metric)
Output	Three zones: invest, hold, harvest	Four labels: stars, cash cows, question marks, dogs
Best for	Diversified firms across multiple industries	Single-industry or closely related portfolios
Data demand	High (multi-factor scoring)	Low (two market metrics)

Where the matrix shows up in modern strategy work

Most large diversified companies still use the nine-box matrix or a close descendant for portfolio reviews, M&A screening, and strategic planning cycles. Four jobs come up most often:

Capital allocation. It surfaces which SBUs deserve the next investment dollar and which should fund the others.
Portfolio rebalancing. It keeps a deliberate mix of high-growth, high-strength bets and stable cash generators.
M&A screening. It tests whether a target sits in a cell that strengthens the portfolio or duplicates an existing bet.
Long-horizon planning. Layered over a multi-year view, it shows which units are drifting up or down the matrix.

Who developed the GE-McKinsey Matrix?

McKinsey & Company developed the matrix in the early 1970s for General Electric, which was managing roughly 150 business units and needed a more sophisticated portfolio tool than the BCG Growth-Share Matrix.

What is the difference between the GE-McKinsey Matrix and the BCG Matrix?

The BCG Matrix uses two single metrics (market growth and relative market share) on a 2x2 grid. The GE-McKinsey Matrix uses two composite scores (industry attractiveness and business unit strength) on a 3x3 grid, which makes it more flexible across industries but more data-hungry.

What do the nine cells of the GE-McKinsey Matrix mean?

The nine cells fall into three diagonal zones. Cells in the upper-left zone signal invest and grow. Cells along the diagonal signal selectively hold. Cells in the lower-right zone signal harvest, divest, or shut down.

What are typical industry attractiveness factors?

Common factors include market size, market growth rate, profit margins, competitive intensity, regulatory environment, and cyclicality. Each company picks the five to seven factors that matter most for its portfolio and assigns weights that sum to 1.0.

Is the GE-McKinsey Matrix still relevant?

Yes. McKinsey notes in its 2008 retrospective that most large companies with a formal approach to modeling their businesses still use the nine-box matrix or a descendant of it, particularly for capital allocation and M&A screening. See the McKinsey Quarterly article.

When should I not use the GE-McKinsey Matrix?

Skip it for single-product or single-industry companies, where the data overhead outweighs the insight. A simpler framework like the BCG Matrix or an OKR cascade usually does more work in those cases.