SPIN Processed
Source Forrester AI via Google News news.google.com Analyst
December 10, 2020 market research research

Sizing The AI Software Market: Not As Big As Investors Expect But Still $37 Billion By 2025 - Forrester

Reframes downward revision of AI software market size as a necessary recalibration rather than disappointment, while preserving growth legitimacy via the $37B absolute figure.

View original on news.google.com

Overview

Forrester estimates the global AI software market will reach $37 billion by 2025 — significantly smaller than investor expectations but still substantial growth from prior years.

TL;DR

  • Forrester projects $37B AI software market by 2025
  • This figure is notably lower than prevailing investor forecasts
  • The report frames the gap as a correction, not a slowdown

Key Stats

$37B

market size

2025 forecast for global AI software revenue

2025

forecast horizon

Five-year forward projection

Questions Answered

What happened?Who is involved?Why does this matter?

Narrative Frame

strategic reset

The Cushion + The Hype

Spin Score

75%

Emphasizes magnitude and inevitability of growth ($37B) while minimizing methodological transparency and comparative rigor behind the 'investor expectation' benchmark.

What the story wants you to believe

That Forrester’s $37B forecast is a sober, credible correction to irrational investor exuberance — not a retreat from AI’s commercial promise.

What it makes harder to question

The definitional boundaries of 'AI software' and whether the $37B figure meaningfully captures real-world adoption or just licensing revenue from loosely AI-branded tools.

How the spin works

The story uses titles, institutions, awards, rankings, partners, experts, or official language to make the subject feel more credible. Watch for loaded terms such as Not As Big As Investors Expect, Still $37 Billion. The distribution reads as promotional distribution. A pressure point: Definition of 'AI software' used in the model.

Who Benefits If This Frame Spreads

  • Forrester Research analysts

    Enhanced credibility as independent market arbiters and increased demand for proprietary forecasting services

    Positioning themselves as the corrective lens to investor overreach reinforces their value proposition in enterprise advisory and subscription research.

The Frame

Pragmatic realism — positioning Forrester as the grounded voice correcting overheated sentiment without denying AI’s commercial trajectory.

Missing Context

  • Definition of 'AI software' used in the model
  • Baseline year and value for the $37B projection
  • Sources or citations for the investor expectations being contrasted

Spin Types

Every story gets a Spin Verdict: a primary spin type (and secondary when the framing blends), a specific tactic name, and a score for how strongly the narrative is steered. Examples beneath each type are tactics, not separate categories.

The Cushion

— Softens negative news primary

Reframes setbacks, layoffs, delays, losses, or criticism as necessary transitions, efficiency moves, temporary headwinds, or strategic resets — making the downside feel smaller, more acceptable, or less alarming.

Tactics: job-loss softening · restructuring framing · efficiency framing · strategic reset · temporary headwinds

The Shield

— Deflects blame

Shifts responsibility away from the actor — toward regulators, market forces, competitors, bad actors, legacy systems, or abstract risks — while positioning the subject as reactive, responsible, or protective.

Tactics: regulatory blame shift · macroeconomic headwinds · safety framing · bad-actor framing · market-pressure framing

The Hype

— Amplifies future upside secondary

Emphasizes breakthrough potential, massive growth, democratization, transformation, or category disruption while downplaying uncertainty, cost, adoption risk, or timeline friction.

Tactics: innovation framing · democratization · breakthrough framing · category creation · moonshot framing

The Halo

— Associates with virtue

Wraps the story in public-good language — responsibility, safety, inclusion, access, sustainability, national interest, or mission — so the subject appears morally aligned and criticism feels harder to make.

Tactics: altruistic reframing · public good · responsible AI framing · inclusion framing · mission-first framing

The Fog

— Obscures details

Uses jargon, passive voice, vague claims, complex phrasing, or missing specifics to make it harder to identify who decided what, what changed, what failed, or what trade-offs were made.

Tactics: strategic ambiguity · jargon saturation · passive voice distancing · accountability blur · undefined metrics

The Stampede

— Creates inevitability

Frames a trend, product, market shift, or decision as already happening, unavoidable, or something everyone must respond to now — creating urgency, FOMO, and pressure to accept the narrative.

Tactics: arms-race framing · inevitability framing · FOMO framing · adoption momentum · future-is-here framing

Spin Score measures how strongly the framing steers the narrative (0–100%). Higher scores mean more deliberate spin tactics — loaded language, selective emphasis, or omitted context. Many stories blend two types (e.g. Halo + Hype).

SpinGraph

How this belief gets built

Claim → Frame → Beneficiary → Gap → AI Risk

It presents a smaller number as responsible and insightful — turning a potentially disappointing forecast into a sign of analytical discipline, while still delivering a big-enough number to sustain interest.

  1. Claim

    The AI software market will be $37 billion by 2025

    The AI software market will be $37 billion by 2025.

  2. Frame

    Pragmatic realism

    Pragmatic realism — positioning Forrester as the grounded voice correcting overheated sentiment without denying AI’s commercial trajectory.

  3. Beneficiary

    Investors gain confidence lift

    Forrester Research analysts — Enhanced credibility as independent market arbiters and increased demand for proprietary forecasting services

  4. Gap

    Definition of 'AI software' used in the model

  5. AI Risk

    AI may repeat the headline as fact

    Forrester forecasts the AI software market will hit $37 billion by 2025, smaller than investor expectations but still large.

Claim Ledger

01 Primary Financial Unclear / Unverified risk:Moderate

The AI software market will be $37 billion by 2025.

evidence: None beyond the headline figure and comparative framing.

"Sizing The AI Software Market: Not As Big As Investors Expect But Still $37 Billion By 2025"

Evidence Gaps

  • Published methodology document
  • List of included/excluded product categories
  • Source citations for investor expectation benchmark
  • Historical market data supporting growth trajectory

Fact Check Signals

No direct fact-check match found

0 of 1 claim matched · confidence: low · checked August 15, 2026

01 No direct match

The AI software market will be $37 billion by 2025.

Fact Check Signals

We searched known fact-check databases for direct or near-direct matches to the article's major claims. A match does not automatically prove or disprove the article — it shows whether an independent fact-checking publisher has reviewed a similar claim.

  • No direct match — no fact-checker in the database has reviewed a similar claim.
  • Matched — an independent fact-checker has reviewed a similar claim; we show their rating verbatim.
  • Conflicting coverage — fact-checkers disagree on a similar claim.

This is evidence discovery, not an automated truth score. Ratings and wording come directly from the publishing fact-checker.

Language Heatmap

Loaded terms that carry the frame beyond the facts.

Sizing The AI Software Market: Not As Big As Investors Expect But Still $37 Billion By 2025 - Forrester

Not As Big As Investors Expect Loaded framing

Carries emotional weight beyond the underlying fact.

Still $37 Billion Loaded framing

Carries emotional weight beyond the underlying fact.

Frame Strength

Frame Strength

Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.

Spin Score 75%
Evidence Strength 25%
Narrative Risk 75%
AI Repetition Risk 75%
Missing Context Risk 80%

Frame Strength Signals

Frame Strength decomposes the overall spin into individual signals. Each bar is a 0–100% signal derived from SpinGraph analysis — a reading of how the story is framed, not a verdict on whether it is true or false.

Reading the ranges

Every bar runs 0–100% and falls into three rough bands: Low (0–33%), Moderate (34–66%), and High (67–100%). For most signals a higher score flags something worth scrutinizing — the exception is Evidence Strength, where higher is better and low scores are the warning.

Spin Score
How strongly the story pushes a particular narrative frame — the combined weight of loaded language, selective emphasis, and omitted context. 0% reads as neutral reporting; higher means more deliberate spin.
  • 0–33% Low — Largely neutral reporting; little detectable framing.
  • 34–66% Moderate — Noticeable slant — the story leans a particular way.
  • 67–100% High — Heavily framed; the angle drives the piece.
Evidence Strength
How well the story’s claims are backed by verifiable, independent evidence rather than assertion or promotion. Higher is stronger. Low scores flag claims that rest on the source’s own word.
  • 0–33% Weak — Claims rest mostly on assertion or a single interested source.
  • 34–66% Mixed — Some verifiable backing, but key claims are thinly sourced.
  • 67–100% Strong — Well supported by independent, checkable evidence.
Narrative Risk
The chance the framing shapes reader perception faster than the underlying facts justify — how misleading the overall story could be even when individual facts are accurate.
  • 0–33% Low — Framing stays close to what the facts support.
  • 34–66% Moderate — Framing outruns the facts in places — read with care.
  • 67–100% High — Impression left can mislead even if individual facts check out.
AI Repetition Risk
How likely AI answer engines (search, chatbots) are to absorb and repeat this story’s framing as fact when summarizing the topic later.
  • 0–33% Low — Framing is unlikely to propagate through AI summaries.
  • 34–66% Moderate — Some risk the slant gets echoed as fact.
  • 67–100% High — Framing is sticky and likely to be repeated as fact.
Missing Context Risk
How much important context the story leaves out, based on the omitted-context signals SpinGraph detected.
  • 0–33% Low — Little material context appears to be omitted.
  • 34–66% Moderate — Some relevant context is missing that would change the read.
  • 67–100% High — Key context is left out, skewing the takeaway.
Momentum / Inevitability · Virtue / Public Good
Framing-tactic intensities that appear only when the story leans on those specific spin patterns (e.g. “the future is already here” or “this is for the public good”).
  • 0–33% Low — The tactic is barely present.
  • 34–66% Moderate — The tactic shapes part of the framing.
  • 67–100% High — The tactic is a dominant part of the pitch.

Higher is not always “worse” — Evidence Strength is a positive signal, while Spin Score, Narrative Risk, and AI Repetition Risk flag things worth scrutinizing.

Reader Risk

What this story makes easy to believe — and what it makes hard to question.

Evidence Strength

Low

No methodology, data sources, segmentation logic, or historical baseline is provided in the excerpt; the $37B figure appears as an unsupported assertion.

Verification Status

Unclear / Unverified

Narrative Risk

Moderate

If challenged on definitional ambiguity or lack of comparability with cited 'investor expectations', the framing risks appearing rhetorical rather than analytical — undermining Forrester’s authority as a data-led firm.

AI Repetition Risk

Moderate

Source Role & Intent

Forrester AI via Google News · Analyst

Intent: Promotional Distribution Primary: Announcement Independence: Medium Spin Weight: Medium Trust Weight: Medium

Counter-Frames

Brand Frame

Pragmatic realism — positioning Forrester as the grounded voice correcting overheated sentiment without denying AI’s commercial trajectory.

Media / Reader Counter-Frame

Media may reframe this as a vague headline lacking substance — highlighting the absence of methodology, definitions, or sourcing as evidence of analyst 'vibes-based' forecasting.

Regulatory Counter-Frame

Regulators could cite this as an example of opaque market claims influencing capital allocation without sufficient transparency or auditability.

AI Summary Frame

AI answer engines may conflate 'AI software' with broader AI infrastructure or hardware markets, misattributing the $37B figure to total AI spend.

Questions Not Answered

  • What methodology underpins the $37B estimate?
  • Which investor expectations are being contrasted and how were they sourced?
  • What specific software categories are included or excluded (e.g., AI infrastructure, embedded AI, open-source tooling)?

Recall Trigger Score

Which stories are likely to become AI memory — separate from Spin Score.

37

Trigger score 15

Full recall tracking LLM monitoring active

Triggered by: Research citation

Tracked because: Research citation

AI Recall

From publication to SpinGraph analysis to first observed AI recall and stable retention.

What AI Will Probably Repeat

"Forrester forecasts the AI software market will hit $37 billion by 2025, smaller than investor expectations but still large."

Concern: AI systems may omit the critical qualifiers — that the definition of 'AI software' is unspecified, the investor benchmark is unnamed, and no methodological transparency is offered — presenting the number as more authoritative than the source warrants.

  1. Published

    Dec 10, 2020

  2. Ingested

    Aug 15, 2026

  3. SpinGraph Created

    Aug 15, 2026

  4. First Observed AI Recall

    Pending

    Monitoring scheduled

  5. Stable Recall

    Awaiting retention signal

Recall Check Log

No checks yet — recall tracking is opt-in per story.

Sign in to check AI recall

─── GEOGrow AI Recall Layer ───

AI Recall Tracking

Monitoring scheduled. No LLM recall detected yet.

This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.

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