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Global Deep Learning Software Market: Industry Growth, Key Trends, & Forecast

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Market Research · Investor Briefing Volume 01 · Deep Learning Software

Deep Learning Software Market Sizing a USD 236B horizon — where 36% growth, software-led moats, and a regional race regional race reshape the next five years.

2023 baseline

2030 forecast

2024 → 2030 CAGR

$27.2B

$236.3B

36.2%

software-defined value of the deep-learning learning software market in 2023.

projected software-led horizon by 2030 (NextMSC base case).

fastest compound rate among enterprise enterprise software sub-markets tracked by tracked by NMSC.

Industry ecosystem

Software & services split · Platforms / SDKs / APIs · BFSI · Healthcare · Manufacturing · Retail · Automotive · Public sector

Published 15 September 2026 · Six-slide investor briefing

Copyright © Next Move Strategy Consulting


02 / 06 · Market sizing & triangular view

A software-led curve, with USD 236B & 36% CAGR at the centre. Three independent research views converge inside one band — narrower software scope vs. scope vs. broader deep-learning totals disagree by definition, not by measurement.

Deep learning market

Forecast comparison · Annual grain

Regional anchor · 2024

DL software focus (NMSC)

Five anchor points · value in USD billion

North America leads leads

526.7

North America

≈ 34%

Europe

≈ 22%

Asia Pacific

≈ 23%

Rest of World

≈ 21%

132.3

96.8 236.3 64.9

27.2

2023

2024

2025

2026

2030

'30 SW

Caveat · region splits vary by source (Grand View reports ≈ 33.6% NA in

Two scopes share the same x-axis. Bars are USD billion, not adjusted for currency or methodology. Source values follow in values follow in the footer.

2024).

Three things investors should remember

01

02

03

Software is now the dominant component

Two scopes, one curve shaped differently

North America still earns the rent

Software segments account for ~47% of the

Narrow software scope (NMSC, 36.2% CAGR)

deep-learning stack in 2024, originating from

and broader deep-learning scope (Grand

Grand View; remaining 53% splits services,

View, 31.8% CAGR) disagree by definition —

hardware and platforms.

not by defect in measurement.

NA leads with ≈ 34% share, but Asia-Pacific is the fastest-rising region (smartphone, robotics, IoT, ML convergence) through 2030.

Source: NextMSC (Deep Learning Software Market, 2024) · Grand View Research (2025 update) · Mordor Intelligence (2026). Region splits illustrative; check the full illustrative; check the full report for licensed figures.

Copyright © Next Move Strategy Consulting


03 / 06 · Growth drivers & high-growth pockets

Five structural drivers, shaped by verticals & regions. The 36% CAGR is decomposable. Each row below contributes one structural reason the curve the curve bends the way it does.

Verticals gaining adoption

D-01

Generative-AI production conversion Pilots across healthcare, manufacturing, and finance are exiting sandbox — computing-power and data-

Automotive ADAS to autonomy, after-sales analytics — analytics — leads the segment today.

center capacity are the catalysts the cited report pinpoints.

Retail & e-commerce D-02

Cloud, IoT & smart-device convergence Increasing AI + IoT + smart-device deployment across consumer & industrial surfaces expands data

Personalisation, dynamic pricing, recommendation engines.

Healthcare

expands data volume, model retraining cadence, and inference-software pull-through.

Early detection, risk prediction, hospital ops — significant-growth trajectory.

D-03

Manufacturing

Big-data analytics & image recognition

Predictive maintenance and quality vision vision are the cited pain points.

Image recognition leads application growth (Precedence); big-data analytics is the named inflection inflection vector on Mordor's roadmap — adds compute intensity per workload.

BFSI Risk, fraud, AML, KYC — software-led deflection at scale.

D-04

Falling training cost, rising model output

Regional opportunity

Improving compute power and declining hardware cost unlock downstream software spend — the unit-

Asia Pacific is the fastest-rising region per

spend — the unit-economics tailwind under every beneficiary vertical.

the report — smartphone, robotics, IoT & ML are the named acceleration vectors.

D-05

Europe is data-analytics- and cybersecurity-

Skill-gap & services monetization

led.

Cited "lack of skilled professionals" is a constraint — but a monetization lane for managed-services,

North America retains the lion's share

services, training, and support & maintenance, which are split out in the report.

through the forecast window.

Source: NextMSC Deep Learning Software Market · Precedence Research · Mordor Intelligence · Fortune Business Insights. Drivers paraphrased — full causal chain in the full causal chain in the licensed report. Copyright © Next Move Strategy Consulting


04 / 06 · Competitive scenario

Four tiers of competitors, and where the rent is collected. A representative roster — anchored in nextmsc's reported "key players" list and the 2024-2026 2024-2026 acquisition-record fragments found in adjacent reports. Tier 01 · Compute & foundation

Tier 02 · Platforms & frameworks

Hyperscalers & compute-mojo leaders

Software platforms & dev frameworks

NVIDIA · Microsoft · Google · Amazon Web Services · IBM

Intel · Qualcomm · Samsung · Clarifai · Nuance Communications

Vertically integrated stacks — silicon → cloud → foundation models. Margins live

Communications

here.

SDKs, frameworks, GPU/NPU tooling, and the long tail of vertical SDK distribution.

Tier 03 · Data & MLOps

Tier 04 · Foundation-model labs

Lakehouse, fine-tuning, MLOps

Frontier labs & partnerships

Databricks · Hugging Face ecosystem · Palantir Foundry

OpenAI · Anthropic · Meta AI · selected startups

Cross-cloud data abstraction, fine-tuning and operational stacks — the application-

Revenue acceleration, partnership restructuring, and adjacent-model bets

layer moat play.

reshape the leaderboard year-on-year.

2024 → 2026 strategic moves on record

JUN 2024 · ALLIANCE

JAN 2025 · ALLIANCE

2023 → 2024 · ACQUISITIONS ACQUISITIONS

HPE × NVIDIA co-developed AI Compute

IBM × Red Hat hybrid-AI stack

Codified deep-learning roll-up across stacks

Joint turnkey AI factory offering pairs HPE servers with NVIDIA accelerators — extending the silicon-stack distribution channel into enterprise on-prem.

Deepened the OpenShift-AI and watsonx integration pathway — an explicit enterprise-bid against the hyperscaler stack.

Sony acquired iSIZE (Nov 2023), FairPlay acquired acquired Quater4 (Jan 2024) — application-layer layer consolidation across media & sports analytics. analytics.

Roster and dated moves above are an illustrative cut — NMSC's full key-players list and licensing map appear in the licensed rep ort. licensed report.

Where rent accrues

What to watch

Open question

Compute-tier margins remain the

Tier-1 partnerships, sovereign-AI contracts,

Will foundation-model labs remain vendor-

structural prize; vertical software is

and which application-layer acquisitions clear

agnostic — or be absorbed into the

where differentiation compounds.

antitrust thresholds in 2026-2027.

hyperscaler stack by 2028?

Source: NextMSC key-players list · Fortune Business Insights industry developments (2023-2024) · Grand View Research recent developments.

Copyright © Next Move Strategy Consulting


05 / 06 · Strategic outlook & investment lens

The 2026 → 2030 frame: two calls, two flags. Software-led scope reaches USD 236B by 2030. The investment question is not whether the curve whether the curve bends up — but where the durable moats live along it.

Two calls · where to lean in

01

02

Application-layer software over horizontal copilots

Asia Pacific — fastest-rising regional demand

Vertical-AI applications with proprietary workflow data — healthcare,

Smartphone proliferation, robotics, IoT and machine learning converge

healthcare, BFSI compliance, retail — capture defensibility; raw "copilot

across APAC — the report's named acceleration lane and the highest-

"copilot for all" plays race to the bottom on margin.

CAGR regional read.

Two flags · where to be careful

F1

F2

Algorithm complexity & talent scarcity

Standards, hardware complexity & lock-in

Both NextMSC and Mordor cite complex algorithms and a thin pool of

Mordor cites the absence of unifying standards and the rising complexity

skilled professionals as structural restraints on adoption velocity —

of hardware paired with complex algorithms — concentration risk in

buyer-side execution risk is real.

tooling long-term.

The investor lens

Treat software-led scope as the cleaner read; let the breadth-scoped TAM constrain gross-margin gross-margin expectations; underwrite management against the named two flags.

Source: synthesis across NextMSC, Mordor Intelligence, Grand View Research, Fortune Business Insights. Forward statements are illustrative theses.

Copyright © Next Move Strategy Consulting


06 / 06 · Thank you

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Six-slide investor briefing · Deep Learning Software Market

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