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Deepfake AI Market to Grow at 47.93% CAGR Through 2031 Driven by Rising Synthetic Media and Fraud Detection Demand, Says Mordor Intelligence

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HYDERABAD, India, Nov. 3, 2026 /PRNewswire/ — Mordor Intelligence has published a report on the deepfake AI market, providing a comprehensive assessment of market dynamics, technology trends, competitive landscape, and future opportunities. According to the study, the deepfake AI market was valued at USD 1.66 billion in 2026 and is projected to reach USD 11.76 billion by 2031, registering a CAGR of 47.93% during the forecast period (2026–2031). The study highlights how advances in generative artificial intelligence, rising demand for synthetic media, increasing deepfake-enabled financial fraud, and growing investments in detection technologies are accelerating the adoption of deepfake AI solutions across media and entertainment, banking, government, defense, and other industries.

According to industry analysis, rapid advancements in generative adversarial networks, transformer models, and multimodal artificial intelligence continue to accelerate deepfake AI market growth. Organizations are increasingly adopting deepfake artificial intelligence technologies for synthetic media creation, digital content personalization, identity verification, fraud prevention, and media authentication. At the same time, growing regulatory scrutiny and the availability of cloud-based AI services are lowering technology barriers while encouraging enterprises to invest in detection, governance, and digital forensics capabilities.

Deepfake AI Market Trends Driving Synthetic Media and Digital Authentication

Generative AI Advancements Expand Deepfake Artificial Intelligence Applications

According to industry analysis, rapid advances in generative adversarial networks are improving the quality, resolution, and coherence of synthetic media. Cloud-based AI services are making sophisticated deepfake capabilities more accessible to organizations that previously lacked the computing infrastructure required for high-resolution generation. These developments are expanding applications across film, gaming, advertising, marketing, and other creative industries while simultaneously increasing demand for technologies capable of identifying increasingly realistic synthetic content.

Financial Fraud Concerns Accelerate Deepfake Detection Adoption

Market estimates indicate that rising deepfake-enabled financial fraud is encouraging banks and financial institutions to strengthen identity verification and authentication workflows. Multimodal detection technologies are gaining importance across customer onboarding, contact centers, mobile banking, and eKYC processes as organizations seek to identify manipulated voice, video, and image content. The growing use of deepfake artificial intelligence for both content generation and fraud prevention is creating opportunities for technology providers across financial services, government, and cybersecurity applications.

Cloud Deployment Expands Access to Deepfake AI Technology

Organizations are increasingly adopting cloud-based deepfake AI solutions because they provide scalable computing resources, managed infrastructure, and flexible deployment models. The growing availability of cloud-based APIs is also lowering entry barriers for mid-sized organizations and creative businesses seeking to integrate deepfake artificial intelligence into existing workflows.

Ashish Gautam, Senior Research Manager, Mordor Intelligence says, “Organizations and technology providers evaluating opportunities in the deepfake AI market need research that clearly separates the expanding applications of synthetic media from the growing requirements for detection, authentication, and responsible AI governance. Mordor Intelligence combines extensive primary research with rigorous secondary analysis to provide balanced, evidence-based insights that support informed business decisions across rapidly evolving artificial intelligence markets.”

Check out more details and stay updated with the latest industry trends, including the Japanese version for localized insights: https://www.mordorintelligence.com/ja/industry-reports/deepfake-ai-market?utm_source=prnewswire

Geographic Analysis of the Deepfake AI Market

North America continues to lead the deepfake AI market, supported by established artificial intelligence ecosystems, enterprise adoption across entertainment and financial services, government investment, and growing demand for digital authentication. Continued investment in cloud infrastructure, cybersecurity, and anti-fraud technologies is expected to support further market development. The United States remains a major market for both synthetic-media applications and deepfake detection solutions.

Asia Pacific is expected to experience strong growth in the deepfake artificial intelligence market, supported by government-backed AI investments, expanding digital infrastructure, increasing adoption of edge computing, and a growing ecosystem of deepfake technology providers. China, India, Japan, South Korea, and other technology-focused economies are creating opportunities for synthetic-media generation, detection, authentication, and responsible AI applications.

Table of Contents (Partial) – Deepfake AI Market

INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the StudyRESEARCH METHODOLOGYEXECUTIVE SUMMARYMARKET LANDSCAPE
4.1 Market Overview
4.2 Market Drivers
4.2.1 Rapid Advancements in Generative Adversarial Networks
4.2.2 Rising Demand for Personalized Synthetic Media in Marketing and Entertainment
4.2.3 Surge in Deepfake-Enabled Financial Fraud Driving Investment in Detection Solutions
4.2.4 Government Procurement of Deepfake Detection for Defense and Law-Enforcement Operations
4.2.5 Integration of Multimodal Deepfake Forensics into eKYC Pipelines
4.2.6 Availability of Large Open-Source Multimodal Deepfake Datasets
4.3 Market Restraints
4.3.1 Regulatory Uncertainty and Fragmented Legal Frameworks
4.3.2 High Computational Costs for Real-Time High-Resolution Deepfake Generation and Detection
4.3.3 Erosion of Consumer Trust Reducing Monetization of Synthetic Media Platforms
4.3.4 Shortage of Diverse Training Data Causing Detection BiasMARKET SIZE AND GROWTH FORECASTS (VALUE)
5.1 By Offering
5.1.1 Software
5.1.2 Services
5.2 By Technology
5.2.1 Generative Adversarial Networks
5.2.2 Transformer Models
5.2.3 Autoencoders
5.2.4 Other Technologies
5.3 By Application
5.3.1 Media and Entertainment
5.3.2 Banking, Financial Services and Insurance
5.3.3 Government and Defense
5.3.4 Healthcare and Life Sciences
5.3.5 Advertising and Marketing
5.4 By Deployment Mode
5.4.1 Cloud
5.4.2 On-Premises
5.5 By Geography
5.5.1 North America
5.5.2 South America
5.5.3 Europe
5.5.4 Asia Pacific
5.5.5 Middle East
5.5.6 AfricaCOMPETITIVE LANDSCAPE
6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles
6.4.1 Synthesia Limited
6.4.2 D-ID Ltd.
6.4.3 Sentinel Labs OU
6.4.4 Reality Defender Inc.
6.4.5 Reface AI Ltd.
6.4.6 Microsoft Corp.
6.4.7 Google LLC
6.4.8 Amazon Web Services Inc.
6.4.9 NVIDIA Corporation
6.4.10 and moreMARKET OPPORTUNITIES AND FUTURE OUTLOOK
7.1 White-Space and Unmet-Need Assessment

For details on other market segments and the full table of contents, visit:

https://www.mordorintelligence.com/industry-reports/deepfake-ai-market?utm_source=prnewswire

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About Mordor Intelligence

Mordor Intelligence is a global market intelligence firm, founded in 2014, helping businesses make informed decisions through data-driven insights, industry expertise, and advanced analytics. With 550+ domain experts and on-ground specialists across 180+ countries, the company delivers comprehensive intelligence across aerospace & defense, agriculture, automation, automotive, chemicals & materials, consumer goods & services, electronics, energy & power, financial services, food & beverages, healthcare, hospitality & tourism, information & communications technology, and logistics.

Its offerings include syndicated industry reports, custom research and advisory, and subscription platforms such as Synapse, Data Center Intelligence, and foldable smartphone Intelligence. Mordor Intelligence is ISO 9001:2015 and ISO/IEC 27001:2022 certified, a member of ESOMAR and the Market Research Society of India, and a four-time Great Place to Work® honoree. Learn more at mordorintelligence.com.

For any inquiries, please contact:

media@mordorintelligence.com
https://www.mordorintelligence.com/contact-us

 

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SOURCE Mordor Intelligence Private Limited

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ATTOM ENHANCES RENTAL AVM WITH AI-POWERED MODEL COVERING NEARLY 100 MILLION U.S. HOMES

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November 3, 2026

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Enhanced model expands coverage by about 40% and delivers a 5.9% median error on homes not yet listed for rent

IRVINE, Calif., Nov. 3, 2026 /PRNewswire/ — ATTOM, the leading provider of property data, AI-powered intelligence, and real estate analytics solutions, today announced enhancements to its Rental AVM, introducing an AI-powered model that estimates current monthly market rent for nearly 100 million U.S. single-family homes, condominiums, and townhouses, an increase in coverage of about 40%. The model delivers a 5.9% median absolute error on homes before they are listed for rent, helping businesses evaluate rental potential and make more informed decisions.

“Estimating rental values is difficult because leases are private and many homes have no rental history,” said Rob Barber, CEO at ATTOM. “With these enhancements, we’re extending the same approach driving ATTOM Intelligence, combining trusted property data with advanced AI and analytics, to many more homes, so customers get more meaningful insights and can make better-informed decisions.”

Key Enhancements Include:

Expanded Coverage: Rental estimates for nearly 100 million single-family homes, condominiums, and townhouses across all 50 states and the District of Columbia, a coverage increase of about 40%.Improved Accuracy: A 5.9% median absolute error on homes before they’re listed for rent, with calibrated low and high values that tighten as the evidence behind an estimate grows.AI-Powered Modeling: Multiple machine-learning models evaluate property characteristics, property value, rental history, and recent rental activity, weighing each based on the available evidence for a property.Listing-Based Training: The model is trained and benchmarked on observed rental listings, cleaned to remove duplicates, placeholder rents, and unrealistic prices.

“Our enhanced Rental AVM evaluates multiple sources of rental information and adapts to the evidence available for each property,” said Aaron Wagner, Head of Data Science at ATTOM. “That adaptability is what allows us to estimate rent for homes with no rental history and extend coverage to nearly 100 million properties, while keeping the ranges calibrated to the strength of the evidence behind each estimate.”

Built for Real-World Applications
ATTOM’s enhanced Rental AVM supports a range of business needs, including:

Real Estate Investors and Rental Operators: Screen acquisitions, evaluate rental potential, compare rental income with property values, and support rent-setting decisions.Mortgage Lenders and Insurers: Assess rental income for investment-property and DSCR loans, monitor portfolio exposure, and support loss-of-rent analysis.Real Estate Portals and AI Developers: Integrate rental estimates into property listings, investment tools, and AI-powered applications through ATTOM’s MCP Server.

Updated monthly to reflect new rental activity and changing market conditions, the enhanced Rental AVM is available through ATTOM’s APIs, bulk data licensing, Snowflake, Databricks, and MCP Server.

To learn more about ATTOM’s enhanced Rental AVM, visit the Rental AVM landing page or download the Rental AVM White Paper.

About ATTOM
ATTOM delivers AI-driven property intelligence built on the nation’s most trusted property data repository, covering 160+ million U.S. properties—99% of the population. Our engineered, multi-sourced, semantically rich real estate data spans property tax, deeds, mortgages, foreclosure, environmental risk, property conditions, natural hazards, neighborhood insights, and geospatial boundaries, rigorously validated for advanced analytics. ATTOM supports analytics, AI applications, and AI agents through flexible delivery options including APIs, bulk licensing, cloud delivery, and the MCP Server for AI-powered, agentic access to engineered property data, enabling organizations to automate analysis, power intelligent workflows, and scale property intelligence across industries.

Media Contact:
Megan Hunt
megan.hunt@attomdata.com 

Data and Report Licensing:
949.502.8313
datareports@attomdata.com

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SOURCE ATTOM

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Staypineapple to Donate to American Humane Society’s Pups4Patriots™ in Honor of Veterans Day

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November 3, 2026

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Hotel brand will donate a portion of November bookings to help veterans and retired first responders receive service dogs

KIRKLAND, Wash., Nov. 3, 2026 /PRNewswire/ — In recognition of Veterans Day, Staypineapple, the national boutique hotel brand, is supporting American Humane Society’s Pups4Patriots™ program. Throughout the month of November, Staypineapple will donate up to $5,000 on behalf of its guests from every Pineapple Pup Package booking and every booking made with military or government rates. The initiative supports the placement of specially trained service dogs with veterans and retired first responders living with post-traumatic stress (PTS) and/or traumatic brain injury (TBI), at no cost to recipients.

In recognition of Veterans Day, Staypineapple will donate a portion of November bookings to the Pups4Patriots program.

“Dogs have an incredible ability to bring comfort, connection and a renewed sense of purpose to our lives,” said Dina Belon, President of Staypineapple. “We’re proud to support American Humane Society’s Pups4Patriots program and help more of our nation’s heroes access the companionship and support of a service dog. We hope our guests will join us in making a difference through booking a stay this November.”

Pups4Patriots helps remove financial barriers to obtaining a specially trained service dog, matching eligible veterans and retired first responders with dogs trained to support their specific needs.

The impact of the program can be seen in the bond between Russell, a retired U.S. Army veteran and law enforcement officer, and his service dog, Nico. Through Pups4Patriots, Nico has become an important source of support in Russell’s life. As Russell shared, “Nico has brought me a renewed sense of living that I was very much struggling to find before meeting him.”

Through this initiative, Staypineapple hopes to help connect more of America’s heroes with life-changing canine companions to those who have served our country and communities.

To learn more or book a stay, visit Staypineapple.com.

About Staypineapple
Staypineapple is a brand of boutique hotels in urban markets across the U.S., managed by Staypineapple Hotels Inc., based in Kirkland, Wash. Known for personalized service and a warm welcome for people and pets alike, Staypineapple creates unique guest experiences that offer more than just a place to stay. It is a place Where Stays Become Stories. For reservations or more information, visit Staypineapple.com or call (866) 866-7977. Follow Staypineapple on Instagram, Threads, TikTok and Facebook.

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SOURCE Staypineapple

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Terakeet’s Mac Cummings Named to ADWEEK Innovator 50 List

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November 3, 2026

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Recognition honors Cummings’ leadership in transforming Terakeet and building a new model for enterprise reputation management in the age of generative AI

SYRACUSE, N.Y., Nov. 3, 2026 /PRNewswire/ — ADWEEK today announced that Terakeet CEO & Co-Founder Mac Cummings has been named to the 2026 ADWEEK Innovator 50 list, which recognizes leaders driving innovation and shaping the future of marketing, media and technology.

Cummings was recognized for his leadership and vision in anticipating how generative AI would reshape enterprise reputation and positioning Terakeet to address the emerging challenges facing the Fortune 100 and its executives.

Over the past year, Cummings has led Terakeet’s transition from enterprise search marketing to global reputation management. The shift expanded the company’s focus beyond search visibility to the ways brands and executives are represented across search engines, generative AI platforms and the broader digital ecosystem.

“AI has changed what’s at stake for the Fortune 100,” said Cummings. “Reputation risk now moves across search and AI at the same time, and most brands don’t have the infrastructure to manage it. We built the Reputation Operating System to give them the technology, intelligence and expertise to understand those risks and strengthen their position before issues escalate.”

To better serve these customers, Cummings directed investments in proprietary technology, expanded the company’s expertise in cybersecurity and reputation risk, and established new strategic partnerships.

The recognition comes as Terakeet celebrates its 25th anniversary, marking a quarter century of evolution alongside major shifts in technology and the digital landscape. Cummings co-founded Terakeet in 2001 and has led the company through each stage of its growth, from its origins in search to its current focus on enterprise reputation management.

“The responsibility of a leader isn’t to protect the business model that worked yesterday but to recognize where the market is going and build for it,” Cummings said. “For Terakeet, that has meant looking past short-term fixes and building the infrastructure enterprises need to understand risk and protect trust in the AI era.”

About Mac Cummings

Mac Cummings is the CEO and Co-Founder of Terakeet. He co-founded the company in Syracuse, New York, in 2001 and has led its evolution across search marketing, digital strategy and enterprise reputation management. Today, Cummings oversees Terakeet’s business strategy and the continued development of its reputation management capabilities and technology.

About Terakeet

Terakeet is an enterprise reputation management company that helps brands and executives understand and manage how they are represented across search engines, generative AI platforms and the broader digital ecosystem. Founded in 2001, the company combines proprietary technology, intelligence and strategic expertise to support enterprise reputation programs.

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SOURCE Terakeet, LLC

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