BRICS AI Machine Learning Market Size and Forecast by Offering, Hardware, Solution, Service, Application, Deployment Model, Organization Size, and End User Industry: 2019-2033

  Dec 2025   | Format: PDF DataSheet |   Pages: 160+ | Type: Niche Industry Report |    Authors: David Gomes (Senior Manager)  

 

BRICS AI Machine Learning Market Outlook

  • In 2024, the market in BRICS stood at USD 4.71 billion, showing a year-over-year growth rate of 45.2%.
  • By 2033, the BRICS AI Machine Learning Market will attain USD 90.86 billion, with a projected CAGR of 39.0% across the forecast window.
  • DataCube Research Report (Nov 2025): This analysis uses 2024 as the actual year, 2025 as the estimated year, and calculates CAGR for the 2025-2033 period.

Industry Assessment Overview

Industry Findings: The bloc’s emerging emphasis on a shared AI-governance and development agenda is reframing how member countries view AI adoption — not as isolated national efforts, but as a collective South-South cooperation tool. In 2025, under Brazil’s chairmanship, BRICS explicitly placed AI governance, inclusion, and digital-economy cooperation at the center of its agenda, arguing that AI “must not be a privilege for the few” but a public good across developing economies. That collective framing increases pressure on vendors to offer solutions that respect data sovereignty, inclusivity, portability across jurisdictions, and compliance with a yet-to-finalize multilateral governance baseline.

Industry Progression: The 2025 BRICS Summit materialised high-level declarations into concrete cooperation frameworks: in July 2025, BRICS leaders adopted a declaration on AI governance calling for equitable, inclusive AI access and cooperation, plus multi-country collaboration on AI research and capacity-building. This progression creates a structural demand for cross-border AI infrastructure, shared standards, and interoperable compliance tools among member nations — laying groundwork for trans-BRICS ML deployments and collaboration.

Industry Player Insights: As BRICS repositions itself as an "AI-cooperation bloc," key vendors and national champions across member states are aligning offerings to meet bloc-wide requirements: global hyperscalers, regional cloud providers, and local AI firms must now price in multi-jurisdiction compliance, data-sovereignty, and cross-border delivery. Vendors that already have a presence in multiple BRICS markets — or can quickly integrate to provide residency-aware, governance-compliant ML stacks — are being favoured in tenders spanning multiple BRICS countries. This shift is reshaping vendor mapping and raising the bar for production-grade, compliant AI services across the bloc.

*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]

Market Scope Framework

Offering

  • Hardware
  • Solution
  • Service

Hardware

  • GPUs
  • TPUs
  • ASICs
  • Edge Inference Devices

Solution

  • Consumption-based Hosted Models & MLaaS (Model APIs, LLMaaS)
  • ML Platforms & MLOps
  • Automated Machine Learning (AutoML & AutoOps)
  • Pre-built Vertical ML Applications
  • ML Governance, Security & Monitoring Tooling

Service

  • Model Customization & Fine-tuning Services
  • Data & Labeling Services
  • Professional Services & SI

Application

  • NLP & Conversational AI
  • Computer Vision
  • Forecasting & Time Series
  • Recommendations & Personalization
  • Control & Robotics

Deployment Model

  • On-premise
  • Cloud-based
  • Hybrid

Organization Size

  • Large Enterprise
  • Mid Enterprise
  • Small Enterprise

End User Industry

  • IT and Telecom
  • Media and Entertainment
  • Energy and Power
  • Transportation and Logistics
  • Healthcare
  • BFSI
  • Retail
  • Manufacturing
  • Public Sector
  • Other

Countries Covered

  • Brazil
  • Russia
  • India
  • China
  • South Africa
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