{"product_id":"veritone-five-forces-analysis","title":"Veritone Porter's Five Forces Analysis","description":"\u003cdiv class=\"pr-shrt-dscr-wrapper orange\"\u003e\n\u003csection class=\"pr-shrt-dscr-box\"\u003e\n\u003cdiv class=\"pr-shrt-dscr-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/GENERAL-Magnifier-Icon.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eFrom Overview to Strategy Blueprint\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pr-shrt-dscr-content\"\u003e\n\u003cp\u003eVeritone operates at the intersection of AI and media, where strong supplier tech partnerships, evolving buyer needs, and rapid entrant innovation shape its competitive landscape. Our Porter's Five Forces snapshot highlights key pressures—buyer power, supplier influence, substitute AI solutions, and regulatory risks. This brief only scratches the surface; unlock the full Porter's Five Forces Analysis to explore Veritone’s strategic implications and actionable insights.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"container_new_design\"\u003e\n\u003cdiv class=\"text-section text-1_new_design\"\u003e\n\u003cdiv class=\"frst_big_letter_heading\"\u003e\n\u003ch2\u003e\n\u003cspan class=\"frst_big_letter_letter green\"\u003eS\u003c\/span\u003e\u003cspan class=\"frst_big_letter_text\"\u003euppliers Bargaining Power\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sub-highlight-wrapper green\"\u003e\n\u003csection class=\"sub-highlight-box\"\u003e\n\u003cdiv class=\"sub-highlight-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Suppliers-Box-Icon-Color-1.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eCloud \u0026amp; compute concentration\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sub-highlight-content\"\u003e\n\u003cp\u003eVeritone depends on hyperscalers for hosting, storage and GPUs as disclosed in filings, concentrating bargaining power with providers that held ~32% (AWS), ~23% (Azure) and ~11% (Google Cloud) of global cloud market in 2024 (IDC). GPU supply is concentrated—NVIDIA accounted for over 80% of datacenter GPU share in 2024—so pricing shifts or capacity constraints can squeeze margins and service levels. Long-term commitments and egress fees amplify dependency, while multi-cloud reduces but does not erase leverage asymmetry.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003csection class=\"sub-highlight-box\"\u003e\n\u003cdiv class=\"sub-highlight-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Suppliers-Box-Icon-Color-1.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eAI models and frameworks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sub-highlight-content\"\u003e\n\u003cp\u003eAccess to frontier proprietary APIs shapes performance and cost as vendors impose usage limits, tiered pricing and roadmap influence, pushing license and compute spend higher. Open-source frameworks like Meta Llama 2, which surpassed 1.7 million downloads by Aug 2023, reduce lock-in but raise engineering and MLOps costs, shifting power to talent. Negotiated co-selling, volume discounts or minimum-usage guarantees can rebalance terms and cap supplier leverage.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"image-section image-1_new_design\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Suppliers-Image.svg\" alt=\"Explore a Preview\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003csection class=\"highlight-box\"\u003e\n\u003cdiv class=\"highlight-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Suppliers-Box-Icon-Color-1.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eData licensors and content owners\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"highlight-content\"\u003e\n\u003cp\u003eHigh-quality training and enrichment data often require licenses from media archives, agencies, or rights holders, giving those licensors strong bargaining power. Scarce or exclusive datasets raise leverage through higher pricing and strict usage constraints. IP indemnities and consent requirements further tighten contractual terms. Building first-party datasets and partnerships reduces exposure over time.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003cdiv class=\"product-green-section\"\u003e\n\u003cdiv class=\"product-box-green-section4\"\u003e\n\u003cdiv class=\"title-row-green-section\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Suppliers-Box-Icon-Color-2.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eSpecialized talent and integrators\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content-row-green-section blur_box\"\u003e\n\u003cpexperienced ml engineers data scientists and ai specialists remain scarce with us median engineer pay around in giving labor suppliers notable bargaining power wage inflation near retention bonuses raise deployment costs margin pressure. systems integrators that execute enterprise deployments can sway pricing account outcomes while internal tooling automation reduce dependence on skills lower long costs.\u003e\n\u003cp\u003e\u003c\/p\u003e\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eLimited supply: US median ML engineer pay ~150,000 (2024)\u003c\/li\u003e\n\u003cli\u003eCost pressure: ~5% wage inflation and retention bonuses\u003c\/li\u003e\n\u003cli\u003eIntegrator influence: affects pricing and outcomes\u003c\/li\u003e\n\u003cli\u003eMitigation: internal tooling\/automation lowers skill reliance\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/pexperienced\u003e\n\u003c\/div\u003e\n\u003cbutton class=\"get_full_prdct_orange\" onclick=\"get_full()\"\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-box-green-section4\"\u003e\n\u003cdiv class=\"title-row-green-section\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Suppliers-Box-Icon-Color-2.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eSilicon and accelerator vendors\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content-row-green-section blur_box\"\u003e\n\u003cp\u003eNVIDIA held over 70% of the data-center GPU market in 2024, making GPU and accelerator availability a recurring bottleneck; supply-demand imbalances let vendors prioritize larger buyers. Hardware roadmap shifts (new architectures, interconnects) force architectural changes and switching costs. Cloud-based accelerators (AWS, Azure, GCP) help capacity but still reflect upstream vendor leverage.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eVendor concentration: NVIDIA \u0026gt;70% share (2024)\u003c\/li\u003e\n\u003cli\u003eHyperscaler prioritization during shortages\u003c\/li\u003e\n\u003cli\u003eRoadmap-driven switching costs\u003c\/li\u003e\n\u003cli\u003eCloud accelerators transfer upstream leverage\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cbutton class=\"get_full_prdct_orange\" onclick=\"get_full()\"\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003csection class=\"highlight-box\"\u003e\n\u003cdiv class=\"highlight-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Suppliers-Box-Icon-Color-1.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eConcentrated cloud\/GPU supply and costly ML talent squeeze margins\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"highlight-content\"\u003e\n\u003cp\u003eSupplier power is high: hyperscalers concentrate hosting\/GPU leverage (AWS ~32%, Azure ~23%, Google ~11% of cloud market, IDC 2024), NVIDIA dominates datacenter GPUs (\u0026gt;70% share, 2024) and skilled labor is costly (US median ML engineer pay ~$150,000, 2024; ~5% wage inflation), so pricing, capacity constraints and licensing materially pressure margins.\u003c\/p\u003e\n\u003ctable class=\"tbl_prdct green_head blur_tbl\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSupplier\u003c\/th\u003e\n\u003cth\u003e2024 metric\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAWS\u003c\/td\u003e\n\u003ctd\u003e~32% cloud market (IDC 2024)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAzure\u003c\/td\u003e\n\u003ctd\u003e~23% (IDC 2024)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGoogle Cloud\u003c\/td\u003e\n\u003ctd\u003e~11% (IDC 2024)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003ctd\u003e\u0026gt;70% datacenter GPU share (2024)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eML engineer pay (US)\u003c\/td\u003e\n\u003ctd\u003eMedian ~$150,000 (2024)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbutton class=\"get_full_prdct_orange\" onclick=\"get_full()\"\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003cdiv class=\"product-includes\"\u003e\n\u003ch2\u003eWhat is included in the product\u003c\/h2\u003e\n\u003cdiv class=\"product-box-includes\"\u003e\n\u003cdiv class=\"title-row-includes\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/GENERAL-Word-Icon.svg\" alt=\"Word Icon\"\u003e\n\u003cstrong\u003eDetailed Word Document\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content-row-includes\"\u003e\n\u003cp\u003eConcise Porter's Five Forces analysis tailored for Veritone, revealing competitive intensity, buyer and supplier leverage, threat of substitutes, and barriers to entry shaping its market position. Includes strategic commentary on disruptive entrants and emerging substitutes, delivered in fully editable Word format for easy integration into investor decks and strategy reports.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plus-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/GENERAL-Plus-Icon.svg\" alt=\"Plus Icon\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-box-includes\"\u003e\n\u003cdiv class=\"title-row-includes\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/GENERAL-Excel-Icon.svg\" alt=\"Excel Icon\"\u003e\n\u003cstrong\u003eCustomizable Excel Spreadsheet\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content-row-includes\"\u003e\n\u003cp\u003eA concise, one-sheet Porter's Five Forces view for Veritone that distills competitive pressure into an editable radar chart and simple scoring—ready to drop into decks or Excel dashboards without macros.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"container_new_design\"\u003e\n\u003cdiv class=\"text-section text-2_new_design\"\u003e\n\u003cdiv class=\"frst_big_letter_heading\"\u003e\n\u003ch2\u003e\n\u003cspan class=\"frst_big_letter_letter orange\"\u003eC\u003c\/span\u003e\u003cspan class=\"frst_big_letter_text\"\u003eustomers Bargaining Power\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sub-highlight-wrapper orange\"\u003e\n\u003csection class=\"sub-highlight-box\"\u003e\n\u003cdiv class=\"sub-highlight-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Customers-Cart-Icon-Color-1.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eEnterprise and public-sector procurement\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sub-highlight-content\"\u003e\n\u003cp\u003eEnterprise and public buyers run competitive RFPs that commonly secure discounts in the 10–20% range and insist on pilots lasting 3–6 months; they also demand strict compliance, SLAs and indemnities that raise delivery obligations. Government buyers frequently impose extended payment terms (30–90 days) and audit rights, increasing working-capital strain. Demonstrable referenceability and certifications such as SOC 2 or FedRAMP can soften price pressure.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003csection class=\"sub-highlight-box\"\u003e\n\u003cdiv class=\"sub-highlight-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Customers-Cart-Icon-Color-1.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eMulti-homing and API optionality\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sub-highlight-content\"\u003e\n\u003cp\u003eCustomers increasingly multi-home: in 2024 about 70% of enterprise buyers reported using multiple AI vendors and cloud-native or open-source components alongside platform providers, raising buyer leverage. API-based consumption lowers switching friction and drives demand for modular pricing and per-call\/seat tiers. Deep workflow integration remains the primary defense against multi-homing, improving retention and upsell economics.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"image-section image-2_new_design\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Customers-Image.svg\" alt=\"Explore a Preview\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003csection class=\"highlight-box\"\u003e\n\u003cdiv class=\"highlight-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Customers-Cart-Icon-Color-1.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eOutcome sensitivity and ROI scrutiny\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"highlight-content\"\u003e\n\u003cp\u003eBudgets hinge on measurable accuracy (\u0026gt;90% expectation in 2024), latency (target \u0026lt;500ms) and cost per processed unit; unclear ROI causes buyers to delay or downsize commitments, with surveys in 2024 showing over 60% of enterprises pausing deployments for stronger proof points. Usage-based pricing amplifies elasticity—volume spikes can raise vendor discount pressure by ~30%—so clear value metrics and benchmarks curb ad hoc discount requests.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003cdiv class=\"product-orange-section\"\u003e\n\u003cdiv class=\"product-box-orange-section4\"\u003e\n\u003cdiv class=\"title-row-orange-section\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Customers-Cart-Icon-Color-2.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eData sovereignty and security demands\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content-row-orange-section blur_box\"\u003e\n\u003cp\u003eSector-specific rules (CJIS, FedRAMP, HIPAA, media rights) give buyers veto power over deployments; a 2024 industry survey found 54% of enterprises require formal certifications before purchase. Controls and audits often shift compliance costs to vendors, while on-prem\/private-cloud demands erode vendor scale economies. Certifications can turn compliance into a retention moat with higher ARPU from compliant accounts.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eBuyer veto: sector rules\u003c\/li\u003e\n\u003cli\u003eAudit cost-shift: vendor burden\u003c\/li\u003e\n\u003cli\u003eOn-prem: reduces scale\u003c\/li\u003e\n\u003cli\u003eCerts: compliance→moat, higher ARPU\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cbutton class=\"get_full_prdct_green\" onclick=\"get_full()\"\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-box-orange-section4\"\u003e\n\u003cdiv class=\"title-row-orange-section\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Customers-Cart-Icon-Color-2.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eSwitching costs via workflows\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"content-row-orange-section blur_box\"\u003e\n\u003cp\u003eOnce embedded in media, legal, or government workflows, switching becomes costly as custom models, integrations, and accumulated metadata create strong lock-in; Gartner 2024 found 62% of orgs cite integration complexity as a key switching barrier. Standardized data formats and open APIs can weaken stickiness, while migration services and customer success programs sustain retention and reduce churn.\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eLock-in: custom models + metadata\u003c\/li\u003e\n\u003cli\u003eBarrier stat: Gartner 2024 — 62% integration complexity\u003c\/li\u003e\n\u003cli\u003eWeakness: standardized formats, open APIs\u003c\/li\u003e\n\u003cli\u003eRetention tools: migration services, success mgmt\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cbutton class=\"get_full_prdct_green\" onclick=\"get_full()\"\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003csection class=\"highlight-box\"\u003e\n\u003cdiv class=\"highlight-icon\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/5FORCES-Content-Customers-Cart-Icon-Color-1.svg\" alt=\"Icon\"\u003e\n\u003ch3\u003eEnterprises get \u003cstrong\u003e10–20%\u003c\/strong\u003e discounts; multi-home \u003cstrong\u003e70%\u003c\/strong\u003e\n\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"highlight-content\"\u003e\n\u003cp\u003eEnterprise buyers secure 10–20% discounts and run 3–6 month pilots while government buyers impose 30–90 day terms and audits; certifications like SOC 2\/FedRAMP ease price pressure. About 70% of enterprises multi-home in 2024, raising buyer leverage, while \u0026gt;90% accuracy and \u0026lt;500ms latency are common procurement thresholds. 54% require formal certifications and 62% cite integration complexity as a switching barrier.\u003c\/p\u003e\n\u003ctable class=\"tbl_prdct green_head blur_tbl\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eMetric\u003c\/th\u003e\n\u003cth\u003e2024 Data\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnterprise discounts\u003c\/td\u003e\n\u003ctd\u003e10–20%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-homing\u003c\/td\u003e\n\u003ctd\u003e70%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertification requirement\u003c\/td\u003e\n\u003ctd\u003e54%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntegration barrier\u003c\/td\u003e\n\u003ctd\u003e62%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAccuracy expectation\u003c\/td\u003e\n\u003ctd\u003e\u0026gt;90%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLatency target\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;500ms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePayment terms (govt)\u003c\/td\u003e\n\u003ctd\u003e30–90 days\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVolume discount pressure\u003c\/td\u003e\n\u003ctd\u003e~30%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cbutton class=\"get_full_prdct_green\" onclick=\"get_full()\"\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003cdiv class=\"container_new_design\"\u003e\n\u003cdiv class=\"text-section text-1_new_design\"\u003e\n\u003ch2\u003e\n\u003cspan style=\"color: #3BB77E;\"\u003eSame Document Delivered\u003c\/span\u003e\u003cbr\u003eVeritone Porter's Five Forces Analysis\u003c\/h2\u003e\n\u003cp\u003eThis preview shows the exact document you'll receive immediately after purchase—no surprises, no placeholders. The Veritone Porter's Five Forces Analysis evaluates competitive rivalry, supplier and buyer power, threat of substitutes and new entrants, and strategic implications for growth and margins. It's fully formatted and ready for immediate download upon purchase.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"image-section image-1_new_design\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/GENERAL-Explore-Preview.svg\" alt=\"Explore a Preview\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"PortersFiveForce","offers":[{"title":"Default Title","offer_id":56163139486073,"sku":"veritone-five-forces-analysis","price":10.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0914\/5276\/8633\/files\/veritone-five-forces-analysis.png?v=1762715054","url":"https:\/\/portersfiveforce.com\/products\/veritone-five-forces-analysis","provider":"Porter's Five Forces","version":"1.0","type":"link"}