# Data Governance Market

> Data Governance Market Size, Share and Research Report By Component (Software and Services), By Deployment (Cloud and On-Premise), By Organization Size (Large Enterprises and Small and Medium Enterprises), By Business Function (IT and Operations, Finance and Risk, Legal and Compliance, Sales and Marketing, and Human Resources), By Application (Risk Management, Compliance Management, Data Quality Management, Audit Management, and Incident Management), By End-User Industry (BFSI, IT and Telecom, Healthcare, Government and Public Sector, Retail and E-commerce, Manufacturing, and Others), And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) – Industry Forecast Till 2035

- **Forecast Period:** 2026-2035
- **CAGR:** 15.0%
- **2025:** USD 4.28 Billion
- **2035:** USD 17.31 Billion
- **Key Players:** Informatica (Salesforce), Microsoft, Collibra, IBM, Oracle, Databricks, Alation, SAP

**Report ID:** MRFR/ICT/1742-HCR · **Pages:** 200 · **Author:** Aarti Dhapte · **Last Updated:** September 15, 2026

**URL:** https://www.marketresearchfuture.com/reports/data-governance-market-2362

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## Market Summary

As per Market Research Future analysis, the Data Governance Market Size was estimated at 3.1 USD Billion in 2024. The Data Governance industry is projected to grow from 3.566 USD Billion in 2025 to 14.45 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 15.02% during the forecast period 2025 - 2035

## Market Drivers

## Driver Impact Analysis

| Driver | ~% Impact on CAGR | Geographic Relevance | Impact Timeline | Ref |
| --- | --- | --- | --- | --- |
| AI regulation demanding explainable provenance | 3.1 | EU, North America | Short-term (≤2 yr) | [1] |
| Lakehouse and cloud migration with native controls | 2.6 | Global | Medium-term (2–4 yr) | [5] |
| Privacy law proliferation across jurisdictions | 2.4 | Global | Short-term (≤2 yr) | [4][6] |
| Sovereign cloud and residency mandates | 1.8 | APAC, MEA, EU | Medium-term (2–4 yr) | [7] |
| Financial reporting integrity regimes | 1.5 | EU, North America | Short-term (≤2 yr) | [8] |
| Modular SaaS pricing opening mid-market | 1.4 | Global | Long-term (≥4 yr) | [9] |
| Data product and mesh operating models | 1.2 | North America, EU | Long-term (≥4 yr) | [10] |

### Regulatory Pressure on AI Training Data

Enforcement has moved from theory to invoice. Italy's data protection authority fined OpenAI EUR 15 million in December 2024 over training-data lawfulness, establishing that model builders answer for upstream provenance [[11]](https://garanteprivacy.it). From August 2026, Article 10 of the EU AI Act requires high-risk system providers to document dataset composition, collection methodology, and bias examination [[1]](https://eur-lex.europa.eu). That documentation burden cannot be satisfied retroactively, which is why 2026 procurement cycles in the Data Governance Market are front-loaded rather than evenly distributed.

### Cloud Migration and Embedded Control Planes

Hyperscalers changed the buying calculus by shipping governance inside the data platform. Unity Catalog, Snowflake Horizon, and Microsoft Purview's Unified Catalog now capture lineage as a byproduct of execution rather than as a scheduled scan [[5]](https://learn.microsoft.com). Cloud deployment therefore reached 67.4% of 2025 installations. The trade-off is coverage: native tooling governs its own estate well and everything else poorly, which sustains demand for vendor-neutral layers.

### Multi-Jurisdiction Privacy Compliance

More than 140 countries have enacted data protection legislation, and the operational cost of divergence — not the statutes themselves — drives tooling spend [[6]](https://unctad.org). India's Digital Personal Data Protection framework, Saudi Arabia's PDPL, and Brazil's LGPD each impose distinct consent, breach-notification, and localisation rules. Enterprises running one policy engine across all of them avoid maintaining parallel compliance teams, which is where the return on governance platforms is easiest to defend.

### Financial Sector Reporting Integrity

DORA became applicable to EU financial entities on 17 January 2025, requiring documented ICT risk management and third-party register maintenance [[8]](https://eur-lex.europa.eu). Combined with BCBS 239's long-standing risk data aggregation principles, banks now need auditable lineage from source system to regulatory submission. BFSI's 23.6% revenue share follows directly from that obligation rather than from discretionary modernisation budgets.

## Restraints

## Restraints Impact Analysis

Restraint weightings reflect estimated drag on adoption velocity. Values are directional and derived from deployment-failure analysis, not from subtraction against the forecast CAGR.

| Restraint | ~% Drag on CAGR | Geographic Relevance | Impact Timeline | Ref |
| --- | --- | --- | --- | --- |
| Scarcity of experienced stewards | -1.6 | Global | Medium-term (2–4 yr) | [12] |
| Legacy and mainframe metadata fragmentation | -1.3 | North America, EU | Long-term (≥4 yr) | [3] |
| Programme failure history and ROI scepticism | -1.1 | Global | Short-term (≤2 yr) | [13] |
| Overlap with hyperscaler-native controls | -0.9 | Global | Medium-term (2–4 yr) | [5] |
| Mid-market budget compression | -0.7 | APAC, South America | Short-term (≤2 yr) | [9] |

### The Stewardship Talent Gap

Policy is made by people. Platforms implement it. Enterprises keep learning that licences come faster than the organizational architecture to use them, and unstaffed programs stall in two quarters. For legacy-architecture platforms, median enterprise deployments still take six to eighteen months, compared to around three months for metadata-native alternatives [[12]](https://.com). Such large time-to-value gaps hurt renewal rates and decelerate reference-based expansion.

### Legacy Estate Opacity

Automated discovery cannot reach mainframe ETL, undocumented stored processes and decades-old point-to-point integrations. Vendors have responded with acquisition — Collibra’s Octopai transaction aimed to fill this same gap [[3]](https://collibra.com/newsroom) — but coverage is patchy. Partial lineage is what organizations trying to catalog an estate they cannot fully interpret generate. Partial lineage fails audit.

### Credibility Deficit from Prior Failures

Many of the governance projects that began in the first wave of GDPR produced glossaries that nobody used. Boards have a memory. Link spend to a defined regulatory deadline or a measurable AI program dependency to win funding in 2026, lengthening sales cycles and forcing vendors to outcome-linked contracting [[13]](https://.com).

## Opportunities

## Data Governance Market Opportunities

### AI Agent Governance as a Distinct Category

The use of autonomous agents to query enterprise data poses a control problem which is inadequately addressed by current role-based approaches. Vendors have responded with agent registries and context layers, and the Model Context Protocol has become a common interface for regulated agent access [[14]](https://collibra.com;%20alation.com). Whoever standardizes agent entitlement enforcement will capture a group that didn’t exist in 2023.

### Emerging-Market Greenfield Deployments

Enterprises in India, Indonesia, Vietnam, and Nigeria are building data estates without legacy debt, allowing governance to be architected in rather than retrofitted. Deployment cycles compress substantially, and per-seat economics work at lower price points. Asia-Pacific's 16.9% CAGR understates the opportunity because much of this demand currently sits below vendor minimums.

### Data Monetisation and Product Contracts

Organisations selling or exchanging data need machine-readable quality guarantees. Governance platforms that issue enforceable data contracts — schema, freshness, and accuracy commitments with automated breach detection — convert a compliance tool into revenue infrastructure. Early adopters in telecom and retail media are already pricing datasets by governance tier.

### Sovereign Catalog Replication

Residency mandates increasingly require metadata, not merely payload data, to remain in-country [[7]](https://sdaia.gov.sa). Federated architectures that keep catalogs local while presenting a unified global view address a requirement that centralised SaaS cannot satisfy. Gulf states and Southeast Asian regulators are the immediate demand pool.

### Governance for Unstructured and Multimodal Assets

Documents, images, call recordings, and video now feed retrieval pipelines directly, yet most governance tooling was built for tabular assets. Extending classification, retention, and lineage to unstructured content is the clearest capability gap across the vendor landscape and the likeliest source of the next acquisition wave.

## Future Outlook

## Data Governance Market Future Outlook

### Autonomous Governance Operations

Manual classification does not survive contact with petabyte-scale estates. Every major vendor shipped AI-assisted governance capability across 2025 and 2026, spanning agent registries, automated policy suggestion, and self-healing quality rules [[14]](https://collibra.com;%20alation.com). By 2030, the realistic expectation is that humans approve exceptions rather than author rules, which shifts platform value from workflow toward inference quality.

### Platform Economics and Consolidation

Consolidation has already begun at the top. Salesforce's Informatica acquisition and Collibra's Octopai purchase both bought capability rather than customers [[2]](https://salesforce.com/news)[[3]](https://collibra.com/newsroom). Standalone catalog vendors face a squeeze between hyperscaler bundling below and suite consolidation above, and the surviving independents will be those defensible on multi-cloud neutrality or on unstructured-asset depth.

### Regulatory Convergence and Divergence

Two forces pull simultaneously. International instruments push toward common principles for cross-border data flows, while national security and industrial policy push toward localisation [[18]](https://worldbank.org). Platforms that abstract policy from jurisdiction — write once, enforce per region — will capture the multinational segment. Those hardcoded to a single regime will not.

### Governance as Balance-Sheet Infrastructure

Auditors are beginning to treat data control weaknesses as material. As AI systems make consequential decisions, the documentation trail behind them becomes an assurance artefact, subject to the same scrutiny as financial controls under ISO/IEC 42001 and equivalent management system standards [[19]](https://iso.org). That reclassification moves governance budget out of discretionary IT and into mandatory controls spending, which is the single largest structural change ahead.

## Segment Insights

## Data Governance Market Segmentation

### By Component

The Data Governance Market splits between platform licensing and the implementation services that make platforms usable.

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| Software | 61.1% share | Policy enforcement automation at query time |
| Services | USD 1.66 Billion | Operating model design and legacy remediation |

Software's dominance reflects a decade-long shift from consultant-authored frameworks toward executable controls. Buyers now expect classification, lineage capture, and access enforcement to ship in the product rather than in a methodology deck. Services nonetheless remain structurally necessary — the failure mode of governance is organisational, not technical, and system integrators earn their margin translating regulation into data stewardship and ownership policies that survive staff turnover.

### By Deployment

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| Cloud | 67.4% share | Native lineage capture inside managed pipelines |
| On-Premise | 16.2% CAGR | Residency mandates and regulated workloads |

Cloud leads decisively, yet on-premise has not collapsed. Sovereignty requirements and sector-specific rules in defence, healthcare, and central [banking](https://www.marketresearchfuture.com/reports/banking-market-23852) sustain a durable floor. Hybrid control planes — cloud orchestration with local metadata persistence — represent the fastest-growing architectural pattern within the Data Governance Market.

### By Organization Size

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| Large Enterprises | 65.3% share | Multi-jurisdiction compliance obligations |
| Small and Medium Enterprises | 17.4% CAGR | Modular SaaS pricing below six-figure entry points |

Large enterprises remain the dominant organization size segment within the Data Governance Market, fueled by complex, multi-jurisdiction regulatory compliance obligations and extensive data estates that demand rigorous auditing. Small and medium enterprises stand out as the fastest-growing segment, propelled by accessible modular SaaS pricing models and lower entry barriers that enable rapid deployment without large upfront investments.

### By Business Function

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| IT and Operations | 32.1% share | Pipeline reliability and platform ownership |
| Finance and Risk | USD 1.04 Billion | Regulatory reporting integrity |
| Legal and Compliance | 15.2% CAGR | Direct accountability for AI and privacy exposure |
| Sales and Marketing | 14.2% share | Consent-aware customer data activation |
| Human Resources | USD 0.42 Billion | Employee data minimisation and retention |

IT and operations remain the dominant business function segment within the Data Governance Market, fueled by primary ownership of infrastructure budgets and pipeline reliability. Legal and compliance stands out as the fastest-growing segment, propelled by direct accountability for emerging artificial intelligence regulations and evolving global privacy exposures.

### By Application

Application-level demand within the Data Governance Market concentrates where audit exposure is highest.

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| Risk Management | 27.5% share | Board-level risk data aggregation requirements |
| Compliance Management | USD 0.96 Billion | Multi-regime obligation mapping |
| Data Quality Management | 16.3% CAGR | AI model input reliability |
| Audit Management | 17.3% share | Evidence generation for external assurance |
| Incident Management | USD 0.54 Billion | Breach notification timelines |

Risk management leads because it is the function that fails visibly. Data quality management grows fastest for a newer reason: model performance degrades silently when inputs drift, and enterprises now instrument quality continuously rather than at load time. Automated data lineage tracking and auditing underpins both, since neither risk attestation nor quality remediation is defensible without a traceable path back to source.

### By End-User Industry

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| BFSI | 23.6% share | DORA, BCBS 239, and open banking obligations |
| IT and Telecom | USD 0.83 Billion | Subscriber data volume and monetisation |
| Healthcare | 14.8% share | Patient consent and secondary research use |
| Government and Public Sector | USD 0.55 Billion | National data strategies and citizen services |
| Retail and E-commerce | 11.5% share | Personalisation under consent constraints |
| Manufacturing | 17.6% CAGR | Supply chain traceability and product passports |
| Others | 7.6% share | Energy, logistics, and education modernisation |

BFSI (Banking, Financial Services, and Insurance) remains the dominant end-user industry segment within the Data Governance Market, fueled by strict regulatory frameworks like DORA, BCBS 239, and complex open banking obligations. Manufacturing stands out as the fastest-growing segment, propelled by increasing demands for supply chain traceability and digital product passports.

## Regional Market Share Analysis

## Regional Market Share Analysis

| Region | Key Metric (2025) | Primary Investment Themes |
| --- | --- | --- |
| North America | 39.6% share | State privacy patchwork, AI assurance, financial reporting |
| Europe | USD 1.17 Billion | AI Act readiness, Data Act interoperability, DORA |
| Asia-Pacific | 16.9% CAGR | Localisation, greenfield estates, manufacturing traceability |
| South America | 5.4% share | LGPD enforcement, banking modernisation |
| Middle East & Africa | USD 0.21 Billion | Sovereign cloud, national data offices |
| Total | USD 4.28 Billion | — |

Regional performance in the Data Governance Market tracks regulatory intensity more closely than IT spending overall, which explains Europe's outsized share relative to its [software](https://www.marketresearchfuture.com/reports/software-market-11924) market weight.

### North America

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| US | 74.2% of region | Twenty states enforcing comprehensive privacy statutes |
| Canada | 13.8% CAGR | Federal privacy modernisation and open banking |
| Mexico | USD 0.17 Billion | Nearshoring-driven manufacturing data integration |

Fragmentation is the American growth engine. With no federal privacy statute, multinationals maintain compliance postures across a widening set of state regimes, and California's automated decision-making rules extend obligations into algorithmic processing [[4]](https://cppa.ca.gov). Financial regulators simultaneously press for auditable model inputs. The Data Governance Market in the United States consequently sells on risk avoidance rather than efficiency, which sustains premium pricing.

### Europe

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| Germany | 22.4% of region | Industrial data spaces and Gaia-X participation |
| UK | 14.6% CAGR | Post-Brexit divergence and financial services reporting |
| France | USD 0.17 Billion | Sovereign cloud certification requirements |
| Italy | 9.1% of region | Aggressive national enforcement posture |
| Spain | USD 0.08 Billion | Public sector digitalisation programmes |
| Nordic Countries | 8.4% of region | Health data secondary use frameworks |
| Russia | 9.2% CAGR | Localisation statutes with constrained vendor access |
| Rest of Europe | 11.3% of region | Cross-border harmonisation |

Regulation arrives in layers here, and each layer adds a documentation obligation. The EU Data Act became applicable in September 2025, obliging connected-product manufacturers to make generated data accessible to users and third parties [[15]](https://eur-lex.europa.eu). Combined with AI Act dataset requirements and DORA's ICT registers, European buyers face three overlapping evidentiary regimes. Vendors that map controls once and report against all three win these deals.

### Asia-Pacific

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| China | 28.6% of region | PIPL and cross-border transfer security assessments |
| India | 19.4% CAGR | Digital Personal Data Protection rules operationalisation |
| Japan | USD 0.19 Billion | APPI amendments and industrial data sharing |
| South Korea | 9.7% of region | PIPA enforcement and cloud-native financial services |
| ASEAN | 18.1% CAGR | Divergent national frameworks requiring policy abstraction |
| Rest of Asia-Pacific | 10.4% of region | Public sector data platform build-out |

Speed distinguishes this region. Indian enterprises operationalising consent management under the Digital Personal Data Protection framework are deploying catalog and policy tooling simultaneously rather than sequentially [[16]](https://meity.gov.in). Manufacturing traceability adds a second demand stream: export-oriented producers need component-level provenance to satisfy customer audits. The Data Governance Market across Asia-Pacific therefore grows on two uncorrelated drivers, which cushions it against any single regulatory delay.

### South America

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| Brazil | 52.8% of region | LGPD enforcement and open finance mandates |
| Argentina | 15.1% CAGR | Data protection statute modernisation |
| Rest of South America | USD 0.06 Billion | Regional banking compliance harmonisation |

Brazil sets the regional tempo. Open finance participation obliges institutions to prove data accuracy at API boundaries, converting governance from internal hygiene into a market access condition [[17]](https://bcb.gov.br). Currency volatility complicates multi-year licensing, so consumption-based pricing has gained disproportionate traction. Growth in the Data Governance Market here is steady rather than spectacular, constrained more by budget cycles than by demand.

### Middle East & Africa

| Country | Key Metric | Key Driver |
| --- | --- | --- |
| Saudi Arabia | 27.9% of region | National data office mandates and PDPL enforcement |
| UAE | 18.8% CAGR | Sovereign cloud programmes and free-zone data regimes |
| South Africa | USD 0.04 Billion | POPIA compliance in financial services |
| Egypt | 8.6% of region | Public sector digital transformation |
| Rest of MEA | 21.4% of region | Telecom and energy sector modernisation |

Sovereignty defines procurement across the Gulf. Saudi Arabia's data authority mandates in-kingdom processing for defined categories, and UAE free zones layer their own regimes on top of federal law [[7]](https://sdaia.gov.sa). Buyers accordingly favour deployable architectures over pure SaaS. Regional participation in the Data Governance Market is small today but structurally protected, because localisation rules make displacement by global-only platforms unlikely.

## Competitive Benchmarking

## Competitive Benchmarking

Concentration in the Data Governance Market sits in the medium band, with an estimated HHI between 700 and 900 and a top-five combined share near 40%. The structure is barbell-shaped: broad suites and hyperscaler platforms anchor the top, a long tail of specialists serves specific architectures, and the middle is thinning rapidly through acquisition.

| Company | Est. Revenue Share Range | Key Offerings for Data Governance Market | Strategic Positioning |
| --- | --- | --- | --- |
| Informatica (Salesforce) | ~9–12% | IDMC, CLAIRE agents, MDM, data quality | Suite breadth now embedded in an agentic CRM platform |
| Microsoft | ~8–11% | Purview Unified Catalog, Data Map, DLP | Lowest-friction default for Azure-centric estates |
| Collibra | ~7–10% | Governance workflows, AI agent registry, Octopai lineage | Policy-first standard for regulated enterprises |
| IBM | ~5–8% | Knowledge Catalog, watsonx.governance | Strength in mainframe-adjacent and AI model governance |
| Oracle | ~4–6% | Enterprise Data Management, cloud governance | Anchored to Oracle application and database estates |
| Databricks | ~3–5% | Unity Catalog, lakehouse governance | Governance as a lakehouse-native control plane |
| Alation | ~3–5% | Data catalog, agentic data intelligence | Discovery-first with strong analyst self-service adoption |
| SAP | ~3–5% | Master Data Governance, Business Data Cloud | Process-integrated governance for ERP-centric buyers |
| Snowflake | ~2–4% | Horizon Catalog, native lineage and access policy | Single-platform governance with minimal integration cost |
| Atlan | ~2–3% | Active metadata, context layer, AI governance | Fast-deploying challenger for modern cloud stacks |
| OneTrust | ~2–3% | Privacy management, consent, data discovery | Privacy-led entry point into broader governance |
| Ataccama | ~1–2% | Unified data quality and governance | Quality-first positioning in mid-market and EMEA |

## Recent News & Developments

## Recent News & Developments

- [Salesforce](https://www.salesforce.com/in/data/governance/guide/) (November 2025): Completed its approximately USD 8 billion acquisition of Informatica, absorbing catalog, lineage, quality, and master data capabilities into the Agentforce platform and reshaping competitive dynamics across the category [[2]](https://salesforce.com/news)

- European Union (August 2024): The AI Act entered into force, establishing dataset documentation duties for high-risk systems with staged application through 2026 and penalties up to 7% of global turnover [[1]](https://eur-lex.europa.eu)
- Italian Data Protection Authority (December 2024): Issued a EUR 15 million fine over AI training-data processing, signalling that provenance failures now carry direct financial consequence [[11]](https://garanteprivacy.it)
- European Union (January 2025): DORA became applicable to financial entities, mandating ICT risk registers and documented third-party data dependencies [[8]](https://eur-lex.europa.eu)
- European Union (September 2025): The Data Act became applicable, obliging connected-product manufacturers to enable user and third-party access to generated data [[15]](https://eur-lex.europa.eu)
- Alation (2025): Recognised as a Leader in 's evaluation of data governance solutions and launched an agentic platform positioning AI agents as active participants in classification and remediation [[14]](https://collibra.com;%20alation.com)
- [Collibra](https://www.collibra.com/products/data-governance) (June 2025): Released OpenLineage integration, extending pipeline coverage across Airflow-orchestrated environments and improving interoperability with open metadata standards [[14]](https://collibra.com;%20alation.com)

## Report Scope

| Parameter | Detail |
| --- | --- |
| Market Scope | Global Data Governance Market across component, deployment, organization size, business function, application, end-user industry, and geography |
| Study Period | 2021–2035 (Historical 2021–2024; Base Year 2025; Forecast 2026–2035) |
| CAGR | 15.0% (2026–2035) |
| Market Size Checkpoints | USD 4.28 Billion (2025); USD 4.92 Billion (2026); USD 17.31 Billion (2035) |
| Fastest Growing Segments | Data security and privacy governance tooling; small and medium enterprises; manufacturing end-use; Asia-Pacific |
| Companies Profiled | Informatica (Salesforce), Microsoft, Collibra, IBM, Oracle, Databricks, Alation, SAP, Snowflake, Atlan, OneTrust, Ataccama |
| Valuation Currency | USD Billion |

## Frequently Asked Questions

**Q: How should procurement teams structure a vendor evaluation in the Data Governance Market?**
A: Score against your actual data estate, not a generic feature matrix. Weight connector coverage for your specific sources at forty percent — that single factor predicts deployment success better than any other criterion [12].

**Q: What integration challenge most often derails deployments?**
A: Undocumented transformation logic in legacy pipelines. Scanners capture table structures but miss business rules embedded in stored procedures, producing lineage that looks complete and fails audit [3].

**Q: Do hyperscaler-native tools remove the need for independent platforms in the Data Governance Market?**
A: Only in single-cloud estates. Native catalogs govern their own platform well and everything outside it poorly, so multi-cloud organisations still need a neutral layer above them [5].

**Q: How is pricing typically structured?**
A: Three models dominate: per-user seats, consumption based on assets scanned, and flat platform tiers. Consumption pricing looks cheapest at pilot scale and frequently becomes the most expensive at full deployment [12].

**Q: What in-house roles does a Data Governance Market deployment actually require?**
A: A platform owner, at least two technical stewards per major domain, and a business sponsor with budget authority. Programmes staffed below that threshold stall within two quarters regardless of tooling quality [13].

**Q: Which emerging use case is attracting the most new budget?**
A: AI agent entitlement management. Agents query data at machine speed under human credentials, and existing role-based models cannot express what an agent may do on someone's behalf [14].

**Q: How do sovereignty rules affect vendor selection in the Data Governance Market?**
A: Several jurisdictions now require metadata itself to remain in-country, not just the underlying records. That eliminates centralised SaaS architectures and favours federated or deployable options [7].


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