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Mapfre: History & Companies
Mapfre, S.A. (Spanish pronunciation: , officially typeset MAPFRE) is a Spanish multinational insurance company, based in Majadahonda, Madrid. The name comes from the old mutual origin of the company (Mutualidad de la Agrupación de Propietarios de Fincas Rústicas de España), but the company now only refers to itself as Mapfre. It is the leading insurance…
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Mapfre topic overview
The analysis highlights History and Companies as prominent areas in the source structure around Mapfre.
Related topics
27
Source areas
3
Connected nodes
30
Extracted relationships
333
Related term clusters
15
Bridge connections
30
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 12 topics
Overview · 11 topics
Fundación Mapfre · 4 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
16 May 1933; 93 years ago (1933-05-16)
Industry
Insurance
Headquarters
Majadahonda, Madrid, Spain
ISIN
ES0124244E34
Key people
Antonio Huertas (Chairman and CEO)
Net income
€1.8 billion (2025)
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Mapfre
5Insurance · Majadahonda · Madrid (autonomous community)
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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Advanced semantic analysis
How Mapfre connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Mapfre shows recurring relationship patterns in the source. For example, Mapfre → ABDA, ABDA Indonesia, ABRAXAS, Aconcagua, Acquisition, AFORE Tepeyac, Afriqe Assistance, Algeria, ALL-MAP-ASSIST GMBH, ANDI Asistencia, Argentina, Asistencia Boliviana, Athens, Australia, Bahrain, Banco, Banco Do Brasil, Belgium, Benelux Assist, Brasil Another extracted example is Mapfre → Accidentes, Acquisition, Agreement, Agreements, Alliance, Andrés Jiménez, Antonio Huertas, Antonio Núñez Tovar, Appointment, Asegurado, Automóvil, Banco, Banco Mapfre, BANKINTER, Board, Burial, Caixa Catalunya, Caixa Manresa, Caixa Tarragona, Caja Castilla La Mancha. Use these groups to spot repeated connection types before inspecting the individual relationships.
Mapfre
Top relations
related to International expansion· 169
Mapfre → ABDA, ABDA Indonesia, ABRAXAS, Aconcagua, Acquisition, AFORE Tepeyac, Afriqe Assistance, Algeria, ALL-MAP-ASSIST GMBH, ANDI Asistencia, Argentina, Asistencia Boliviana, Athens, Australia, Bahrain, Banco, Banco Do Brasil, Belgium, Benelux Assist, Brasil
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 333 structured relationships around Mapfre. Examples in this analysis include Mapfre → Founded → 16 May 1933; 93 years ago (1933-05-16) and Mapfre → Headquarters → Majadahonda, Madrid, Spain. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Mapfre
Founded
16 May 1933; 93 years ago (1933-05-16)
1.00
infobox
Mapfre
Headquarters
Majadahonda, Madrid, Spain
1.00
infobox
Mapfre
Industry
Insurance
1.00
infobox
Mapfre
ISIN
ES0124244E34
1.00
infobox
Mapfre
Key people
Antonio Huertas (Chairman and CEO)
1.00
infobox
Mapfre
Net income
€1.8 billion (2025)
1.00
infobox
Mapfre
Number of employees
30,846 (2025)
1.00
infobox
Mapfre
Number of locations
4,993
1.00
infobox
Mapfre
Products
Life and non-life insurance, investment management
1.00
infobox
Mapfre
Revenue
€34.5 billion (2025)
1.00
infobox
Mapfre
Subsidiaries
Mapfre Middlesea
1.00
infobox
Mapfre
Total assets
€58.5 billion (2025)
1.00
infobox
Mapfre
Total equity
€10.5 billion (2025)
1.00
infobox
Mapfre
Traded as
BMAD: MAP
1.00
infobox
Mapfre
Type
Sociedad Anónima
1.00
infobox
Mapfre
Website
www.mapfre.es
1.00
infobox
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Mapfre bring nearby vocabulary together. In this analysis, examples include Set, Vida and Asistencia. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Mapfre
Set
Vida
Asistencia
Acquires
Citation
Needed
Stake
Becomes
Re
Office
Crédito
Fundación
mapfre
Set
Vida
Asistencia
Acquires
Citation
Needed
Stake
Becomes
Re
Office
Crédito
Fundación
insurance company
Company
Insurance
Group
Mapfre
General
Spain
Becomes
Citation
Needed
Vida
Puerto
Rico
commerce insurance group
Company
Acquisition
Group
Insurance
Mapfre
Spain
Becomes
Agreement
Created
Fundación
General
Puerto
vehicle insurance
Company
Group
Mapfre
Spain
Becomes
General
Puerto
Rico
Madrid
Stake
Citation
Needed
travel insurance
Company
Group
Mapfre
Spain
Becomes
General
Puerto
Rico
Madrid
Stake
Citation
Needed
ignacio hernando de larramendi
Madrid
Mapfre
Citation
Needed
Spain
Acquisition
Agreement
Crédito
Mutualidad
Set
Caja
Acquires
canada life insurance
Company
Group
Mapfre
Spain
Becomes
General
Puerto
Rico
Madrid
Stake
Citation
Needed
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Mapfre, one of the stronger structural bridges in this analysis connects Mapfre with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Mapfre
Nodes31
Edges30
Triples333
Avg. degree1.94
Density0.064516
Components1
Source & methodology
TTTA analyzes the structure around Mapfre to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
