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www.artefact.com/

Artefact is a data and AI consultancy helping organizations transform with strategy, governance, and analytics to drive measurable business outcomes.

Artefact is a global data and AI consultancy that helps organizations turn data into strategy and value. Through end-to-end services Artefact supports clients across industries with transformation planning, data and AI strategy, organizational design, and maturity assessments. The company also helps build data governance, data platforms and BI capabilities, and provides training and experiential programs to upskill teams. With a focus on turning data and AI into measurable business outcomes, Artefact’s work encompasses operations optimization, customer care, marketing analytics, and governance disciplines to ensure responsible and scalable impact. The audience includes industries such as consumer goods, retail, financial services and private equity, healthcare, manufacturing, telecoms, real estate, travel, and public sector organizations. Artefact emphasizes cross-functional collaboration, data literacy, and the practical deployment of analytics and AI to improve efficiency, decision speed, customer experiences, and financial performance.

Mission statement

To empower organizations to adopt data-driven decision making and AI at scale through comprehensive strategy, governance, and capable analytics, enabling improved performance, innovation, and competitive advantage.

Products & Services

Data & AI Strategy Service

Empower your organization with a comprehensive Data & AI strategy that drives transformation and value.

www.artefact.com/offers/transformation-data-ai-strategy/data-ai-strategy
  • ✓ Data & AI Strategy — Align Strategy With Business Goals
  • ✓ Implementation Roadmap — Phased Implementation Plan
  • ✓ Transformation Planning — Comprehensive Transformation Roadmap
  • ✓ Governance Integration — Integrate Governance Practices
  • ✓ Organizational Design — Optimize Organizational Structure
  • ✓ AI Governance Program — Ensure Ethical AI Usage
  • ✓ Data Literacy Training — Enhance Data Skills

Corporate Training Service

Enhance team capabilities in data literacy and analytics through hands-on corporate training.

schoolofdata.artefact.com/en/entreprises
  • ✓ Experiential Learning — Engages Teams Effectively
  • ✓ Data Literacy — Enhances Understanding Of Data
  • ✓ Upskilling Teams — Builds Key Skills
  • ✓ Ongoing Support — Ensures Long-term Success

Artefact 3000 & The Studio Platform

Empowers organizations to leverage data and AI for strategic transformation and operational excellence.

artefact3000.com/en-us
  • ✓ AI Acceleration — Accelerate AI Initiatives
  • ✓ Transformation & Data/AI Strategy — Transform Data into Strategy
  • ✓ Data Foundations & BI — Establish Data Governance
  • ✓ IT & Data Platforms — Support Analytics
  • ✓ Marketing Data & Digital — Optimize Marketing Efforts

Market Segments

Billion USD 0 30 60 90 120 150 Data and AI strategy Cloud data mana… Business intell… MLOps and model… Data and analyt… Market Size (Billion USD)
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% CAGR Growth Potential

Data and AI strategy

Advisory and leadership to define AI and automation strategy, data governance, and IT rationalization to enable data-driven decision making.

Market size: $10.0B CAGR: 20%
Estimated current (2025–26) market for Data & AI strategy advisory using published global AI market sizes (USD 294B–602B range). Assumed AI professional services represent ~20–30% of total AI spend and that strategy/advisory comprises ~10–15% of services. Applying these ranges yields a strategy/advisory market roughly in the mid-single-digit to low-double-digit billions; conservatively estimated at $10B. Growth CAGR set to ~20% reflecting strong overall AI market growth (reports show ~26–29% CAGRs) while discounting for longer sales cycles in consulting/services.
TH TH 20 3 references

Cloud data management and analytics

Cloud-native data architecture, data engineering, and platform modernization to enable advanced analytics, data-driven decision making, and scalable data operations.

Market size: $125.0B CAGR: 13%
Estimate based on published market figures for adjacent categories in the provided results: enterprise data management (~USD 125B in 2025), broader data analytics (USD 74–82B range and high-growth forecasts), cloud analytics (~USD 41B by 2031), and multi-cloud analytics (smaller, faster-growing niche). I treat “cloud data management and analytics” as overlapping enterprise data management, cloud-native analytics, and multi-cloud analytics; therefore a blended 2025 market size ~USD 125B and a mid-range CAGR ~13% (between lower cloud-analytics CAGR ~9–12% and higher data-analytics CAGRs ~21–24%) reflect current scale and growth potential.
CL GL EN DA MU 5 references

Business intelligence and analytics

Capabilities for self-service and executive reporting, interactive real-time dashboards, AI-assisted insight generation, and analytics for trending, forecasting, and ad-hoc exploration.

Market size: $50.4B CAGR: 9.5%
Estimate based on recent industry reports in the search results. I used Coherent Market Insights’ 2026 estimate for the combined “business intelligence and analytics” segment (USD 50.4B) as the primary anchor and reconciled other reputable reports (Mordor Intelligence, Fortune Business Insights, Zion, Transparency) showing 2023–2026 market values in the USD 24–50B range and projected CAGRs mostly between ~8–11%. The selected CAGR (≈9.5%) reflects the mid-point of leading forecasts (8.4%–10.4%) and aligns with multiple sources projecting high-single-digit to low-double-digit growth as AI, cloud adoption, and augmented analytics drive demand.
BU TH TH MA 4 references

MLOps and model operationalization

Capabilities to deploy, monitor, and manage machine learning models in production, including lifecycle automation, governance, and model monitoring to ensure reliable outcomes.

Market size: $3.0B CAGR: 40%
Multiple industry reports in the searchResults place the current MLOps/model operationalization market in the USD 2–4.4 billion range (2024–2026) and forecast very high growth (CAGRs roughly 37–46%) through 2029–2035. I used those explicit figures and their consensus (midpoint of reported current sizes and typical forecast CAGR) to estimate a current market size of about USD 3.0 billion and growth potential near 40% CAGR.
20 TH TH 20 EX 5 references

Data and analytics training and consulting

Training and advisory services to build data literacy, analytics skills, visualization, data strategy, and operational data workflows through courses and mentor guidance.

Market size: $25.0B CAGR: 5.49%
Primary estimate based on the Big Data Analytics Consulting Services market report (MRFR) which explicitly places the 2024 global market at $25B with a 5.49% CAGR to 2035. Contextual sources show a wider scope: SourceGlobal cites a $60B data & analytics professional-services market in 2022 with a short-term ~12% growth spike, and MarketDataForecast provides U.S. consulting context (USD 127.12B in 2025, CAGR 5.03%). Variations reflect different definitions (pure analytics consulting vs broader data & analytics services and training); the MRFR $25B/5.49% figures are used as the primary, conservative baseline for data & analytics training and consulting.
20 WE TH DA 4 references

Ideal Customer Profiles

Large Financial Services And Retail Enterprises

North America and Europe financial services and retail firms seeking scalable data and AI strategy and governance.

Chief Data Officer

Establish data governance, enable scalable analytics, reduce risk

Head Of Data And Analytics

Deliver scalable analytics, faster insight delivery

Director Of Marketing Analytics

Improve marketing ROI, optimize campaigns

Public Sector And Healthcare Organizations

North America and Europe public sector and healthcare entities seeking governance, data platforms, and transformation.

Chief Information Officer (Public Sector)

Improve service delivery, compliance

Health Informatics Director

Improve patient outcomes, faster research

IT Program Manager

Modernize IT, deliver on projects

Consumer Goods, Retail And Travel Firms

North America and Europe consumer goods, retail, and travel firms seeking marketing analytics improvements and customer insights.

Director Of Marketing Analytics

Improve marketing ROI, optimize campaigns

VP Of Customer Experience

Improve customer satisfaction, retention

Head Of Digital Transformation

Scale digital initiatives

Private Equity Firms And Portfolio Companies

North America and Europe private equity firms seeking data-driven value across portfolios.

Chief Data Officer (Portfolio Companies)

Standardize data across acquisitions

Portfolio Operating Partner

Improve portfolio performance

M&A Data Integration Lead

Seamless data integration

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Domo, Inc.

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Common Questions

What does Artefact do?
Artefact is a global data and AI consultancy that helps organizations turn data into strategy and value. Through end-to-end services Artefact supports clients across industries with transformation planning, data and AI strategy, organizational design, and maturity assessments. The company also helps build data governance, data platforms and BI capabilities, and provides training and experiential programs to upskill teams. With a focus on turning data and AI into measurable business outcomes, Artefact’s work encompasses operations optimization, customer care, marketing analytics, and governance disciplines to ensure responsible and scalable impact. The audience includes industries such as consumer goods, retail, financial services and private equity, healthcare, manufacturing, telecoms, real estate, travel, and public sector organizations. Artefact emphasizes cross-functional collaboration, data literacy, and the practical deployment of analytics and AI to improve efficiency, decision speed, customer experiences, and financial performance.
What problems does Artefact solve for Large Financial Services And Retail Enterprises?
Regulatory compliance complexity, data silos, slow insight delivery, inconsistent data governance
What problems does Artefact solve for Public Sector And Healthcare Organizations?
Regulatory compliance, data interoperability, legacy systems, slow modernization
What is Artefact's role in the Data and AI strategy market?
Advisory and leadership to define AI and automation strategy, data governance, and IT rationalization to enable data-driven decision making.
What is Artefact's role in the Cloud data management and analytics market?
Cloud-native data architecture, data engineering, and platform modernization to enable advanced analytics, data-driven decision making, and scalable data operations.
How was the Data and AI strategy market size estimate for Artefact calculated?
Estimated current (2025–26) market for Data & AI strategy advisory using published global AI market sizes (USD 294B–602B range). Assumed AI professional services represent ~20–30% of total AI spend and that strategy/advisory comprises ~10–15% of services. Applying these ranges yields a strategy/advisory market roughly in the mid-single-digit to low-double-digit billions; conservatively estimated at $10B. Growth CAGR set to ~20% reflecting strong overall AI market growth (reports show ~26–29% CAGRs) while discounting for longer sales cycles in consulting/services.
How was the Cloud data management and analytics market size estimate for Artefact calculated?
Estimate based on published market figures for adjacent categories in the provided results: enterprise data management (~USD 125B in 2025), broader data analytics (USD 74–82B range and high-growth forecasts), cloud analytics (~USD 41B by 2031), and multi-cloud analytics (smaller, faster-growing niche). I treat “cloud data management and analytics” as overlapping enterprise data management, cloud-native analytics, and multi-cloud analytics; therefore a blended 2025 market size ~USD 125B and a mid-range CAGR ~13% (between lower cloud-analytics CAGR ~9–12% and higher data-analytics CAGRs ~21–24%) reflect current scale and growth potential.
Artefact — company overview

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