---
ontology:
  id: market-research
  version: "0.4.0"
  description: Market-research domain ontology — segments, competitors, sizing, demand, intelligence
  extends:
  - mif-base
  - shared-traits
namespaces:
  semantic:
    children:
      market:
        description: Segments, competitors, brands, personas, sizing, forces, demand, data sources
        type_hint: semantic
      reports:
        description: Market-intelligence reports and analyses
        type_hint: semantic
  procedural:
    children:
      research:
        description: Survey instruments and research plan specifications
        type_hint: procedural
  episodic:
    children:
      research:
        description: Win-loss analyses and research episodes
        type_hint: episodic
entity_types:
- name: segment
  description: A market segment — a defined slice of a market
  aliases:
    - "market segment"
    - "buyer segment"
    - "customer segment"
    - "target segment"
  exemplars:
    - "A structured knowledge infrastructure product maps to several distinct buyer segments, each with its own pain point and willingness to pay"
    - "Enterprise buyers have shifted decisively toward buying commercial software-as-a-service rather than building it in-house"
  base: semantic
  traits:
  - cited
  schema:
    required:
    - name
    properties:
      name:
        type: string
      description:
        type: string
      geographic_area:
        type: string
      audience_type:
        type: string
      identifier:
        type: string
  source_vocab: Umbrex market-mapping
  source_class: market segment taxon
  prior_art: Umbrex universe-of-entities taxonomy
  disposition: mint
- name: competitor
  description: A competing organization in a market (EXTENDS schema:Organization)
  negative_examples:
    - "Individual vendors like CrowdStrike and Salesforce compete aggressively by undercutting on price, expanding feature sets faster than rivals, and differentiating on analyst rankings, collectively driving up the competitive intensity in the endpoint-security and CRM markets."
  base: semantic
  traits:
  - cited
  - dated
  schema:
    required:
    - legal_name
    properties:
      legal_name:
        type: string
      url:
        type: string
        format: uri
      area_served:
        type: string
      number_of_employees:
        type: integer
      founding_date:
        type: string
        format: date
      makes_offer:
        type: array
        items:
          type: string
  source_vocab: schema.org
  source_class: Organization
  prior_art: schema.org/Organization / GoodRelations BusinessEntity
  disposition: extend
- name: brand
  description: A brand maintained by a competitor (REUSES schema:Brand)
  negative_examples:
    - "New DTC skincare brands can enter the market at low cost via white-label manufacturing and Shopify platforms, allowing fresh entrants to compete for social-media discovery and rapidly gain mindshare among Gen Z consumers."
    - "Salesforce, Inc. (NYSE: CRM), a San Francisco enterprise CRM vendor, and Shopify Inc. (NYSE: SHOP), an Ottawa commerce-platform vendor, are both publicly traded companies competing in their respective markets."
    - "Gen Z and Millennial consumers increasingly check ingredient lists via apps like INCIDecoder or Yuka before buying 'clean-label' skincare, pressuring legacy brands to reformulate or launch clean-label sub-brands."
  base: semantic
  traits:
  - cited
  schema:
    required:
    - name
    properties:
      name:
        type: string
      logo:
        type: string
        format: uri
      slogan:
        type: string
      aggregate_rating:
        type: string
      review:
        type: array
        items:
          type: string
      url:
        type: string
        format: uri
  source_vocab: schema.org
  source_class: schema:Brand
  prior_art: https://schema.org/Brand
  disposition: reuse
- name: buyer-persona
  description: A target buyer audience or ideal-customer profile (REUSES schema:Audience)
  negative_examples:
    - "This segment, aged 13-26, discovers and buys skincare mainly via TikTok and Instagram Reels rather than search, weighting ingredient transparency and influencer endorsement heavily, with low brand loyalty."
    - "LinkedIn, acquired by Microsoft in 2016 and reported as a standalone segment, is cited in B2B market research via its Sales Navigator and Talent Solutions products for firmographic targeting data."
    - "This cohort was screened for current software-purchasing involvement at 1,000+-employee organizations with at least director-level title, yielding 412 qualified respondents for a brand-awareness and vendor-consideration study."
    - "This skincare subscription box, personalized to skin type and concerns at signup, relies on a pause-rather-than-cancel default and periodic re-personalization surveys to manage churn."
    - "In this win-loss analysis, retail category buyers repeatedly declined a DTC skincare brand's shelf-placement pitch over inability to verify its claimed online repeat-purchase rate, used as a sell-through-risk proxy."
  base: semantic
  traits:
  - cited
  schema:
    required:
    - audience_type
    properties:
      audience_type:
        type: string
      geographic_area:
        type: string
      required_gender:
        type: string
      required_min_age:
        type: integer
      required_max_age:
        type: integer
  source_vocab: schema.org
  source_class: Audience
  prior_art: schema.org/Audience / schema.org/PeopleAudience
  disposition: reuse
- name: respondent-segment
  description: A survey-respondent cohort defined by screening criteria
  negative_examples:
    - "Demand for F2P games skews heavily toward older-demographics segments aged 40+ who prefer puzzle and strategy mechanics, representing a growing revenue opportunity for mobile developers."
  base: semantic
  traits:
  - cited
  schema:
    required:
    - name
    properties:
      name:
        type: string
      audience_type:
        type: string
      geographic_area:
        type: string
      required_min_age:
        type: integer
      required_max_age:
        type: integer
  source_vocab: Market research practice
  source_class: respondent cohort
  prior_art: Pollfish market-research survey methodology
  disposition: mint
- name: sizing-estimate
  description: A market-sizing estimate (TAM/SAM/SOM)
  base: semantic
  traits:
  - cited
  - dated
  schema:
    required:
    - name
    properties:
      name:
        type: string
      estimated_value:
        type: string
      valid_through:
        type: string
        format: date
      eligible_region:
        type: string
      description:
        type: string
  source_vocab: TAM/SAM/SOM practice
  source_class: total-addressable-market
  prior_art: HubSpot TAM/SAM/SOM sizing methodology
  disposition: mint
- name: competitive-force
  description: A Porter competitive force shaping competitive intensity
  base: semantic
  traits:
  - cited
  - dated
  schema:
    required:
    - force_type
    - industry_scope
    properties:
      force_type:
        type: string
        enum:
        - new-entrants
        - buyer-power
        - supplier-power
        - substitutes
        - competitive-rivalry
      intensity:
        type: string
        enum:
        - high
        - medium
        - low
        - indeterminate
      industry_scope:
        type: string
      key_drivers:
        type: string
      trend_direction:
        type: string
        enum:
        - increasing
        - stable
        - decreasing
  source_vocab: Porter Five Forces
  source_class: competitive-force
  prior_art: Porter Five Forces framework (HBR 1979/2008)
  disposition: mint
- name: service-offering
  description: A service offering provided into a market (EXTENDS schema:Service)
  negative_examples:
    - "Demand for embedded-payment capabilities is driving vendors to offer recurring-revenue models like subscription-box curation, where payment processing becomes a value-add feature bundled with the core product experience."
    - "New observability vendors are offering cloud-native monitoring and AI-driven root-cause-analysis services that compete with legacy enterprise monitoring platforms, changing how operations teams approach infrastructure visibility."
    - "Stripe, Inc., a privately held, venture-backed payments-infrastructure vendor in South San Francisco offering Stripe Treasury and Stripe Capital, competes with Adyen and Braintree among developer-first platforms."
    - "CB Insights' embedded-fintech intelligence service provides analysis and tracking of fintech-in-enterprise offerings, helping investors and operators understand the strategic implications of fintech integrations."
  base: semantic
  traits:
  - cited
  schema:
    required:
    - name
    properties:
      name:
        type: string
      provider:
        type: string
      audience:
        type: string
      brand:
        type: string
      area_served:
        type: string
      service_type:
        type: string
      offers:
        type: array
        items:
          type: string
  source_vocab: schema.org
  source_class: schema:Service
  prior_art: https://schema.org/Service
  disposition: reuse
- name: market-demand
  description: Market demand for an offered item (REUSES schema:Demand)
  negative_examples:
    - "Buyers with negotiating power in CRM and enterprise software markets demand better pricing, lower switching costs, and extended payment terms, forcing vendors to improve commercial flexibility to maintain customer retention and market share."
    - "Conjoint-analysis survey instruments measure demand for specific pricing tiers and feature bundles, revealing which value combinations customers would actually choose across hypothetical product configurations."
  base: semantic
  traits:
  - cited
  - dated
  schema:
    required:
    - item_offered
    properties:
      item_offered:
        type: string
      eligible_region:
        type: string
      seller:
        type: string
      business_function:
        type: string
      valid_from:
        type: string
        format: date
      valid_through:
        type: string
        format: date
  source_vocab: schema.org
  source_class: schema:Demand
  prior_art: https://schema.org/Demand
  disposition: reuse
- name: value-proposition
  description: A value proposition mapping offerings to customer jobs, pains and gains
  negative_examples:
    - "K-12 tutoring software demand, initially subsidized by federal ESSER relief funds, has moderated as ESSER funding wound down through its 2024 obligation deadline, shifting purchasing back to district general funds."
    - "This cohort screened for owners or sole financial decision-makers at businesses with fewer than 50 employees, yielding 650 qualified respondents for a study measuring unaided and aided brand awareness of accounting-software vendors. Quotas were set to match US Census Bureau small-business industry distribution rather than allowing a convenience sample skewed toward any single vertical."
    - "Enterprise software buying centers (5,000+ employees) require formal RFPs and multi-stakeholder sign-off; Gartner and Forrester treat this as distinct since criteria like SOC 2 and SSO/SAML diverge from smaller buyers."
    - "In this win-loss analysis, a vertical-SaaS company chose an embedded-payments partner based on API documentation and sandbox quality evaluated by its own engineers, weighing more than per-transaction pricing."
  base: semantic
  traits:
  - cited
  schema:
    required:
    - name
    properties:
      name:
        type: string
      description:
        type: string
      audience:
        type: string
      service_type:
        type: string
      slogan:
        type: string
  source_vocab: Strategyzer Value Proposition Canvas
  source_class: value-proposition
  prior_art: Osterwalder Value Proposition Canvas methodology
  disposition: mint
- name: market-intelligence-report
  description: A market-intelligence report or analysis
  aliases:
    - "market intelligence brief"
    - "competitive intelligence report"
    - "industry analyst report"
    - "market research report"
  exemplars:
    - "Pricing signals from adjacent enterprise software markets establish a willingness-to-pay range for a new category of infrastructure product"
    - "An analyst quadrant report evaluates competing vendors in one category across execution and vision criteria, naming market leaders"
    - "An annual industry index tracks aggregated billing data across hundreds of companies to compare single- versus multi-model revenue architectures"
  negative_examples:
    - "Demand for managed-detection-and-response (MDR) in ransomware protection is documented in industry reports like CB Insights' cybersecurity threat analysis and Forrester Wave assessments of the MDR market."
    - "Healthcare payers represent a distinct market segment; industry intelligence reports track payer consolidation trends, reimbursement-policy shifts, and vendor adoption rates within this sector."
  base: semantic
  traits:
  - cited
  - versioned
  - documented
  schema:
    required:
    - name
    properties:
      name:
        type: string
      date_published:
        type: string
        format: date
      publisher:
        type: string
      about:
        type: string
      mentions:
        type: array
        items:
          type: string
      is_based_on:
        type: array
        items:
          type: string
  source_vocab: schema.org
  source_class: Report
  prior_art: schema.org/Report / IAO:0000311 publication
  disposition: mint
- name: market-data-source
  description: A catalog of market-intelligence data (REUSES schema:DataCatalog)
  negative_examples:
    - "Adobe (NASDAQ: ADBE) acquired Marketo Engage in 2018 for B2B marketing automation, while CrowdStrike (NASDAQ: CRWD), maker of the Falcon EDR platform, faced scrutiny after its July 2024 outage disrupted Windows systems globally."
    - "Predictive-maintenance IoT demand has grown as unplanned downtime, cited at tens of thousands of dollars per hour for large facilities, strengthens the business case for sensor instrumentation investment."
    - "Sensor Tower's mobile-gaming report tracks in-app-purchase revenue and downloads via its own app-store data-panel estimation methodology, a standard but non-publisher-disclosed secondary source in mobile-gaming competitive analysis."
    - "Organizations of 200-2,000 employees lacking a 24/7 SOC but facing SOC 2 or cyber-insurance compliance pressure typically outsource threat monitoring entirely to a managed security provider rather than building hybrid coverage."
    - "In this win-loss analysis, non-converting industrial-IoT pilots most often failed due to integration friction with the facility's existing SCADA/PLC vendor ecosystem, discovered only during the pilot itself."
  base: semantic
  traits:
  - cited
  - versioned
  schema:
    required:
    - name
    properties:
      name:
        type: string
      url:
        type: string
        format: uri
      provider:
        type: string
      dataset:
        type: array
        items:
          type: string
      measurement_technique:
        type: string
      date_modified:
        type: string
        format: date
  source_vocab: schema.org
  source_class: DataCatalog
  prior_art: schema.org/DataCatalog / W3C DCAT 3 dcat:Catalog
  disposition: reuse
- name: survey-instrument
  description: A survey instrument — a research plan specification
  negative_examples:
    - "A surveyed cohort of 250 manufacturing plant managers is gathered using a multi-question screening protocol that filters for facility size and recent technology-evaluation activity to ensure respondent relevance to IoT adoption studies."
    - "Clinical procurement leads at healthcare systems are characterized as decision-makers; capturing their preferences requires a structured interview protocol covering budget authority, risk tolerance, and vendor-certification requirements."
    - "The K-12 edtech segment is researched using survey instruments that measure teacher adoption rates, student engagement outcomes, and curriculum-fit perceptions to guide product roadmap decisions."
    - "Observability platforms communicate unified value propositions through surveys and buyer interviews, emphasizing single-pane-of-glass visibility, AI-driven insights, and cost reduction as key differentiators."
  base: procedural
  traits:
  - cited
  - versioned
  schema:
    required:
    - name
    properties:
      name:
        type: string
      description:
        type: string
      measurement_technique:
        type: string
      about:
        type: string
      audience:
        type: string
  source_vocab: IAO
  source_class: plan-specification
  prior_art: IAO plan-specification / OBI protocol
  disposition: mint
- name: win-loss-analysis
  description: A win-loss analysis episode — post-decision interviews with won/lost prospects
  negative_examples:
    - "Win-loss discussion guides are survey instruments used to conduct structured interviews with customers about their vendor-selection reasoning, competitive comparisons, and deal-outcome drivers."
  base: episodic
  traits:
  - cited
  - dated
  schema:
    required:
    - name
    properties:
      name:
        type: string
      about:
        type: string
      date_created:
        type: string
        format: date
      mentions:
        type: array
        items:
          type: string
      description:
        type: string
  source_vocab: Competitive intelligence practice
  source_class: win-loss artifact
  prior_art: Clozd / Corporate Visions win-loss methodology
  disposition: mint
relationships:
  analyzes-competitor:
    description: A win-loss-analysis analyzes a competitor (schema:about)
    from:
    - win-loss-analysis
    to:
    - competitor
    symmetric: false
  based-on-source:
    description: A market-intelligence-report is based on a market-data-source (schema:isBasedOn)
    from:
    - market-intelligence-report
    to:
    - market-data-source
    symmetric: false
  covers-segment:
    description: A market-intelligence-report covers a segment (schema:about)
    from:
    - market-intelligence-report
    to:
    - segment
    symmetric: false
  targets-audience:
    description: A value-proposition targets a buyer-persona (schema:audience)
    from:
    - value-proposition
    to:
    - buyer-persona
    symmetric: false
  tracks-competitive-force:
    description: A competitor tracks a competitive-force (schema:knowsAbout)
    from:
    - competitor
    to:
    - competitive-force
    symmetric: false
  item-offered:
    description: Market-demand is for an offered service-offering (schema:itemOffered)
    from:
    - market-demand
    to:
    - service-offering
    symmetric: false
  maintains-brand:
    description: A competitor maintains a brand (schema:brand / gr:hasBrand)
    from:
    - competitor
    to:
    - brand
    symmetric: false
  operates-in:
    description: A service-offering operates in a segment (schema:areaServed, extended to segment)
    from:
    - service-offering
    to:
    - segment
    symmetric: false
  provides-service:
    description: A competitor provides a service-offering (inverse of schema:provider)
    from:
    - competitor
    to:
    - service-offering
    symmetric: false
discovery:
  enabled: true
  confidence_threshold: 0.8
  patterns:
  - content_pattern: \b(segment|vertical|buyer size|price band|market segment)\b
    suggest_entity: segment
    suggest_namespace: _semantic/market
  - content_pattern: \b(competitor|incumbent|rival vendor|market player)\b
    suggest_entity: competitor
    suggest_namespace: _semantic/market
  - content_pattern: \b(buyer persona|target audience|ICP|jobs[- ]to[- ]be[- ]done)\b
    suggest_entity: buyer-persona
    suggest_namespace: _semantic/market
  - content_pattern: \b(TAM|SAM|SOM|total addressable market|market siz(e|ing))\b
    suggest_entity: sizing-estimate
    suggest_namespace: _semantic/market
  - content_pattern: \b(five forces|bargaining power|threat of substitutes|new entrants)\b
    suggest_entity: competitive-force
    suggest_namespace: _semantic/market
  - content_pattern: \b(market report|landscape analysis|competitive intelligence report)\b
    suggest_entity: market-intelligence-report
    suggest_namespace: _semantic/reports
  - content_pattern: \b(questionnaire|survey instrument|conjoint|MaxDiff|NPS survey)\b
    suggest_entity: survey-instrument
    suggest_namespace: _procedural/research
  - content_pattern: \b(respondent|screener|n=\d+|qualified respondents)\b
    suggest_entity: respondent-segment
    suggest_namespace: _semantic/market
  - content_pattern: \b(value proposition|jobs addressed|pains relieved|gains created)\b
    suggest_entity: value-proposition
    suggest_namespace: _semantic/market
  - content_pattern: \b(win[- ]loss|win rate|deal review|loss reasons)\b
    suggest_entity: win-loss-analysis
    suggest_namespace: _episodic/research
  - content_pattern: \b(syndicated|panel data|transaction data|data provider)\b
    suggest_entity: market-data-source
    suggest_namespace: _semantic/market
