Blockchain Press Releases
AI Technology Set to Reshape Stock Images & Videos Market, the Market is Projected to Worth $7.33 Billion by 2028 – Arizton
CHICAGO, July 4, 2023 /PRNewswire/ — According to Arizton’s latest research report, the stock images and videos market will grow at a CAGR of 6.74% during 2022-2028.
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Browse In-Depth TOC on Stock Images and Videos Market
122 – Tables
123 – Charts
474 – Pages
The stock image market was in good shape in the mid-1990s. Good-quality photographs, stable stock photography prices, great demand, and limited supply made it a lucrative sector. However, the advent of the internet turned the market upside down. Customers and end-users began looking for ways to get these images at low prices for longer durations. The RF license thus made its way into the market. Synonymous with nearly unlimited usage, images that carried this license must be sold for fixed prices based on the file size. Subscriptions became the norm. Five years down the line, these libraries began shifting to the digital base, and the revenue growth was strong. Like every other high-profit-making industry, it invited solid competition. Many countermeasures were released in response to the competition, including bringing down royalty rates, offering micro-prices, and driving up sub-distribution agreements. This resulted in chaos, with the photography commission being thrown in a bind and aggregators and distributors taking up more revenue share. The rising penetration of animation production, a rapid shift to vertical formats, blockchain technology making inroads, social issues trumping mindless consumerism, increasing penetration of AI & ML in stock content, growth of platform integrations, and mobile stock losing its sheen are the growing trends in the stock images and videos market.
Stock Images and Videos Market Report Scope
|
Report Attributes |
Details |
|
Market Size (2028) |
USD 7.33 Billion |
|
Market Size (2022) |
USD 4.96 Billion |
|
CAGR (2022-2028) |
6.74 % |
|
Base Year |
2022 |
|
Forecast Year |
2023-2028 |
|
Market Segmentation |
Product, Source, License, Application, End-user, and Geography |
|
Geographic Analysis |
North America, Europe, APAC, Latin America, and Middle East & Africa |
|
Market Dynamics |
|
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Recent Developments and Launches Of AI Platforms & Tools
In the stock image market, vendors increasingly introduce AI platforms and tools to enhance their offerings. These AI-powered solutions are designed to revolutionize the way customers search for and utilize stock images. By leveraging machine learning and computer vision algorithms, these platforms can analyze and understand the content of images, enabling more accurate and relevant search results.
In early 2023, Shutterstock launched a new AI image generator – Shutterstock Generate. This tool came out because of the partnership between Dall-E & Shutterstock. It is a text-to-image generator that utilizes the Dall-E model, specifically trained using Shutterstock’s content library. This unique approach ensures legal compliance and transparency throughout the image generation process. When users download the generated images through the app, they are licensed by Shutterstock, providing a reliable and authorized source for usage.
Microstock Market Gaining Huge Popularity, and Macrostock Market to Recover in the Upcoming Years
Microstock has recreated the industry demands and has found even more popularity during the pandemic. The rise of the World Wide Web brought a rush of new highly digital businesses that needed a strong online presence and marketing collateral for their offline efforts. These start-ups have largely been attributed to the success of this relatively new, stably growing online image market. However, the advent of microstock has led macrostock agencies to lose their customers to the former. While these heavy hitters have firmly grounded their revenues, accounting for the largest share of the market, their growth has slowed down comparatively in recent years.
Major agencies are currently swaying towards acquiring more crowd-sourced images to increase their authenticity and revenues. However, some players such as Stocksy, are betting on platform cooperatives, which aim to preserve the strength and integrity of the artist community for sustainable long-term growth. Compared to macrostock agencies, microstock is swift to act on innovation and adapt to new image technologies. From efforts gained at breaking new ground, such as the embed initiatives, to trailblazing partnerships with technology companies, social networks, publishing platforms, events, and the like, macrostock companies are on a roll. All of this, though, is an effort to bring the market back to its good days. For instance, Getty Images partnered with the Rugby Africa Gold Cup board to offer images of its competition to its customers.
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Competition in Stock Images and Videos Market is Intensifying Across the Globe
Getty Images, Visual China Group, Shutterstock, and Adobe Stock are the four major vendors that dominate the market. Several vendors in this market have a global presence, creating strong brand images for their products. In addition, several small and large vendors are altering the stock photography business with new approaches and models, such as making mobile a platform. With many of these vendors trying to cut costs due to the shrinking revenues, offering any service apart from the basic limits their growth. Several larger players have witnessed a decline in revenues over the last couple of years due to consolidation that devalued the market.
- Getty Images is a leading vendor in the market. It works with hundreds of image partners, 200,000 contributors, and over 160,000 sports, news, and entertainment events.
- Visual China Group is another significant player in the market. The company has over 600 employees, serving over 15,000 media outlets, advertisers, and other organizations. It has hundreds of image partners and 14,000 contributors globally.
- Shutterstock is another large player in the market. It has about 1.8 million active paying customers, over 350,000 contributors, more than 9 million video clips, and 170 million images available for license.
- Adobe Stock is a significant player in the market, offering over 90 million assets.
Key Company Profiles
- Adobe Stock
- Getty Images
- Hanhua Yimei Visual Technology
- Shutterstock
- 123RF
- Agence France Presse (AFP)
- AFP
- agefotostock
- Alamy
- AP Images
- Artlist
- Can Stock Photo
- Canva
- Coinaphoto
- Creative Market
- Death to Stock
- Depositphotos
- Dissolve
- Dreamstime
- East News
- Envato
- EyeEm
- Freepik
- Fotosearch
- ImagesBazaar
- Masterfile
- Newscom
- NHK VIDEO BANK
- PantherMedia
- Photofolio
- Picfair
- Pixta
- Pond5
- PR Photos
- Redux Pictures
- Storyblocks
- Stocksy
- StockUnlimited
- The Mega Agency
- THOMSON REUTERS
- WENN
- Westend61
- ZUMA Press
Market Segmentation
Product
- Stock Images
- Stock Videos
Source
- Macrostock
- Microstock
Application
- Commercial
- Editorial
License
- RM
- RF
End-user
- Marketers
- Films & TV Producers
- Media & Publishing Companies
- Business & Individual Creators
Geography
- North America
- The US
- Canada
- Europe
- The UK
- Germany
- France
- Spain
- Russia
- Italy
- Sweden
- Switzerland
- Belgium
- Netherlands
- Poland
- Turkey
- APAC
- China
- India
- Japan
- Australia
- South Korea
- Indonesia
- Taiwan
- Philippines
- New Zealand
- Malaysia
- Thailand
- Middle East & Africa
- UAE
- South Africa
- Saudi Arabia
- Egypt
- Nigeria
- Latin America
- Brazil
- Mexico
- Argentina
- Colombia
- Chile
- Peru
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Table of Content
1 RESEARCH METHODOLOGY
2 RESEARCH OBJECTIVES
3 RESEARCH PROCESS
4 SCOPE & COVERAGE
4.1 MARKET DEFINITION
4.1.1 INCLUSIONS
4.1.2 EXCLUSIONS
4.1.3 MARKET ESTIMATION CAVEATS
4.2 BASE YEAR
4.3 SCOPE OF THE STUDY
4.3.1 MARKET SEGMENTATION BY PRODUCT
4.3.2 MARKET SEGMENTATION BY LICENSE
4.3.3 MARKET SEGMENTATION BY APPLICATION
4.3.4 MARKET SEGMENTATION BY SOURCE
4.3.5 MARKET SEGMENTATION BY END-USER
4.3.6 MARKET SEGMENTATION BY GEOGRAPHY
5 REPORT ASSUMPTIONS & CAVEATS
5.1 KEY CAVEATS
5.2 CURRENCY CONVERSION
5.3 MARKET DERIVATION
6 MARKET AT A GLANCE
7 PREMIUM INSIGHTS
7.1 MARKET DEFINITION
7.2 REPORT OVERVIEW
7.3 RECENT DEVELOPMENTS AND LAUNCHES OF AI PLATFORMS & TOOLS
7.4 RISK FACTORS IN MARKET
7.5 GLOBAL MEDIA LANDSCAPE
7.6 OPPORTUNITIES & CHALLENGE ANALYSIS
7.7 SEGMENT ANALYSIS
7.8 REGIONAL ANALYSIS
7.9 COMPETITIVE LANDSCAPE
7.10 FREQUENTLY ASKED QUESTIONS
8 INTRODUCTION
8.1 OVERVIEW
8.2 INTRODUCTION OF AI STOCK IMAGES MARKET
8.2.1 MARKET DYNAMICS
8.2.2 GROWTH OPPORTUNITIES FOR AI STOCK IMAGES
8.2.3 GEOGRAPHY ANALYSIS
8.2.4 RECENT DEVELOPMENTS AND LAUNCHES OF AI PLATFORMS & TOOLS
8.3 RISK FACTORS
8.4 GOVERNMENT REGULATIONS
8.5 KEY ELEMENTS IN STOCK IMAGES & VIDEOS MARKET
8.5.1 SALES & DISTRIBUTION CHANNEL
8.5.2 CONTENT CONTRIBUTING COMMUNITY
8.5.3 COMPETITION
8.5.4 MARKETING
8.6 GLOBAL DIGITAL VISUAL CONTENT MARKET
8.7 GLOBAL MEDIA LANDSCAPE
8.8 COVID-19 IMPACT ANALYSIS
8.8.1 CHANGING AGENCY MODELS
8.8.2 POST-COVID SCENARIO
8.9 FUTURE OUTLOOK
8.10 VALUE CHAIN
8.10.1 BUSINESS MODEL
9 MARKET OPPORTUNITIES & TRENDS
9.1 RISING PENETRATION OF ANIMATION PRODUCTION
9.2 RAPID SHIFT TO VERTICAL FORMATS
9.3 OTT PLATFORMS BOOSTING DEMAND FOR STOCK FOOTAGE
9.4 BLOCKCHAIN TECHNOLOGY MAKING INROADS
9.5 SOCIAL ISSUES TRUMP MINDLESS CONSUMERISM
9.6 INCREASING PENETRATION OF AI & ML IN STOCK CONTENT
9.7 POWERING UP VIA DISTRIBUTION DEALS
9.8 GROWTH OF PLATFORM INTEGRATIONS
9.9 MOBILE STOCK LOSING ITS SHEEN
9.10 DRONE-SHOT CONTENT IN VISUAL ARTS
10 MARKET GROWTH ENABLERS
10.1 GROWTH IN E-LEARNING INDUSTRY
10.2 REINVENTION OF STORYTELLING
10.3 IMPROVEMENT IN JOURNALISTIC VALUES
10.4 GROWTH OF DIGITAL COMMUNITIES IN HYPER-CONNECTED ECOSYSTEM
10.5 SOCIAL SHOWS SUSTAIN BUZZ IN STOCK CONTENT
10.6 GROWTH OF CONTENT AUTOMATION & PERSONALIZATION
10.7 CONSUMER BEHAVIOR & AUTHENTICITY
11 MARKET RESTRAINTS
11.1 SHIFT IN DIGITAL CULTURE
11.2 COPYRIGHT INFRINGEMENT & BREACH OF LICENSES
11.3 PROLIFERATION OF SHOPPABLE SOCIAL COMMERCE
11.4 GLUT OF IMAGES
11.5 UNSUSTAINABLE BUSINESS MODELS
11.6 USER-GENERATED CONTENT EATING INTO MARKET
11.7 AUDIO ECLIPSING VIDEO
12 MARKET LANDSCAPE
12.1 MARKET OVERVIEW
12.1.1 MERGERS & ACQUISITIONS AND RECENT DEVELOPMENTS
12.1.2 KEY INSIGHTS
12.2 PEST ANALYSIS
12.2.1 POLITICAL FACTORS
12.2.2 ECONOMIC FACTORS
12.2.3 SOCIAL FACTORS
12.2.4 TECHNOLOGICAL FACTORS
12.3 MARKET SIZE & FORECAST
12.4 MARKET BY PRODUCT
12.5 MARKET BY SOURCE
12.6 MARKET BY APPLICATION
12.7 MARKET BY LICENSE
12.8 MARKET BY END-USER
12.9 FIVE FORCES ANALYSIS
12.9.1 THREAT OF NEW ENTRANTS
12.9.2 BARGAINING POWER OF SUPPLIERS
12.9.3 BARGAINING POWER OF BUYERS
12.9.4 THREAT OF SUBSTITUTES
12.9.5 COMPETITIVE RIVALRY
13 PRODUCT
13.1 MARKET SNAPSHOT & GROWTH ENGINE
13.2 MARKET OVERVIEW
13.3 STOCK IMAGES
13.3.1 MARKET SIZE & FORECAST
13.3.2 MARKET BY GEOGRAPHY
13.4 STOCK VIDEOS
13.4.1 MARKET SIZE & FORECAST
13.4.2 MARKET BY GEOGRAPHY
14 SOURCE
14.1 MARKET SNAPSHOT & GROWTH ENGINE
14.2 MARKET OVERVIEW
14.3 MACROSTOCK
14.3.1 MARKET SIZE & FORECAST
14.3.2 IMAGES
14.3.3 VIDEOS
14.3.4 MARKET BY GEOGRAPHY
14.4 MICROSTOCK
14.4.1 MARKET SIZE & FORECAST
14.4.2 IMAGES
14.4.3 VIDEOS
14.4.4 MARKET BY GEOGRAPHY
15 APPLICATION
15.1 MARKET SNAPSHOT & GROWTH ENGINE
15.2 MARKET OVERVIEW
15.3 COMMERCIAL
15.3.1 MARKET SIZE & FORECAST
15.3.2 MARKET BY GEOGRAPHY
15.4 EDITORIAL
15.4.1 MARKET SIZE & FORECAST
15.4.2 MARKET BY GEOGRAPHY
16 LICENSE
16.1 MARKET SNAPSHOT & GROWTH ENGINE
16.2 MARKET OVERVIEW
16.3 RM
16.3.1 MARKET SIZE & FORECAST
16.3.2 IMAGES
16.3.3 VIDEOS
16.3.4 MARKET BY GEOGRAPHY
16.4 RF
16.4.1 MARKET SIZE & FORECAST
16.4.2 IMAGES
16.4.3 VIDEOS
16.4.4 MARKET BY GEOGRAPHY
17 END-USER
17.1 MARKET SNAPSHOT & GROWTH ENGINE
17.2 MARKET OVERVIEW
17.3 MARKETERS
17.3.1 MARKET SIZE & FORECAST
17.3.2 MARKET BY GEOGRAPHY
17.4 FILMS & TV PRODUCERS
17.4.1 MARKET SIZE & FORECAST
17.4.2 MARKET BY GEOGRAPHY
17.5 MEDIA & PUBLISHING COMPANIES
17.5.1 MARKET SIZE & FORECAST
17.5.2 MARKET BY GEOGRAPHY
17.6 BUSINESSES & INDIVIDUAL CREATORS
17.6.1 MARKET SIZE & FORECAST
17.6.2 MARKET BY GEOGRAPHY
18 GEOGRAPHY
18.1 MARKET SNAPSHOT & GROWTH ENGINE
18.2 GEOGRAPHIC OVERVIEW
19 NORTH AMERICA
19.1 MARKET OVERVIEW
19.1.1 IMAGES
19.1.2 VIDEOS
19.2 MARKET SIZE & FORECAST
19.2.1 PRODUCT: MARKET SIZE & FORECAST
19.2.2 SOURCE: MARKET SIZE & FORECAST
19.2.3 APPLICATION: MARKET SIZE & FORECAST
19.2.4 LICENSE: MARKET SIZE & FORECAST
19.2.5 END-USER: MARKET SIZE & FORECAST
19.3 KEY COUNTRIES
19.4 US
19.4.1 MARKET SIZE & FORECAST
19.4.2 IMAGES
19.4.3 VIDEOS
19.5 CANADA
19.5.1 MARKET SIZE & FORECAST
19.5.2 IMAGES
19.5.3 VIDEOS
20 EUROPE
20.1 MARKET OVERVIEW
20.1.1 IMAGES
20.1.2 VIDEOS
20.2 MARKET SIZE & FORECAST
20.2.1 PRODUCT: MARKET SIZE & FORECAST
20.2.2 SOURCE: MARKET SIZE & FORECAST
20.2.3 APPLICATION: MARKET SIZE & FORECAST
20.2.4 LICENSE: MARKET SIZE & FORECAST
20.2.5 END-USER: MARKET SIZE & FORECAST
20.3 KEY COUNTRIES
20.4 UK
20.4.1 MARKET SIZE & FORECAST
20.4.2 IMAGES
20.4.3 VIDEOS
20.5 GERMANY
20.5.1 MARKET SIZE & FORECAST
20.5.2 IMAGES
20.5.3 VIDEOS
20.6 FRANCE
20.6.1 MARKET SIZE & FORECAST
20.6.2 IMAGES
20.6.3 VIDEOS
20.7 SPAIN
20.7.1 MARKET SIZE & FORECAST
20.7.2 IMAGES
20.7.3 VIDEOS
20.8 RUSSIA
20.8.1 MARKET SIZE & FORECAST
20.8.2 IMAGES
20.8.3 VIDEOS
20.9 ITALY
20.9.1 MARKET SIZE & FORECAST
20.9.2 IMAGES
20.9.3 VIDEOS
20.10 SWEDEN
20.10.1 MARKET SIZE & FORECAST
20.10.2 IMAGES
20.10.3 VIDEOS
20.11 SWITZERLAND
20.11.1 MARKET SIZE & FORECAST
20.11.2 IMAGES
20.11.3 VIDEOS
20.12 BELGIUM
20.12.1 MARKET SIZE & FORECAST
20.12.2 IMAGES
20.12.3 VIDEOS
20.13 NETHERLANDS
20.13.1 MARKET SIZE & FORECAST
20.13.2 IMAGES
20.13.3 VIDEOS
20.14 POLAND
20.14.1 MARKET SIZE & FORECAST
20.14.2 IMAGES
20.14.3 VIDEOS
20.15 TURKEY
20.15.1 MARKET SIZE & FORECAST
20.15.2 IMAGES
20.15.3 VIDEOS
21 APAC
21.1 MARKET OVERVIEW
21.1.1 IMAGES
21.1.2 VIDEOS
21.2 MARKET SIZE & FORECAST
21.2.1 PRODUCT: MARKET SIZE & FORECAST
21.2.2 SOURCE: MARKET SIZE & FORECAST
21.2.3 APPLICATION: MARKET SIZE & FORECAST
21.2.4 LICENSE: MARKET SIZE & FORECAST
21.2.5 END-USER: MARKET SIZE & FORECAST
21.3 KEY COUNTRIES
21.4 CHINA
21.4.1 MARKET SIZE & FORECAST
21.4.2 IMAGES
21.4.3 VIDEOS
21.5 INDIA
21.5.1 MARKET SIZE & FORECAST
21.5.2 IMAGES
21.5.3 VIDEOS
21.6 JAPAN
21.6.1 MARKET SIZE & FORECAST
21.6.2 IMAGES
21.6.3 VIDEOS
21.7 AUSTRALIA
21.7.1 MARKET SIZE & FORECAST
21.7.2 IMAGES
21.7.3 VIDEOS
21.8 SOUTH KOREA
21.8.1 MARKET SIZE & FORECAST
21.8.2 IMAGES
21.8.3 VIDEOS
21.9 INDONESIA
21.9.1 MARKET SIZE & FORECAST
21.9.2 IMAGES
21.9.3 VIDEOS
21.10 TAIWAN
21.10.1 MARKET SIZE & FORECAST
21.10.2 IMAGES
21.10.3 VIDEOS
21.11 PHILIPPINES
21.11.1 MARKET SIZE & FORECAST
21.11.2 IMAGES
21.11.3 VIDEOS
21.12 NEW ZEALAND
21.12.1 MARKET SIZE & FORECAST
21.12.2 IMAGES
21.12.3 VIDEOS
21.13 MALAYSIA
21.13.1 MARKET SIZE & FORECAST
21.13.2 IMAGES
21.13.3 VIDEOS
21.14 THAILAND
21.14.1 MARKET SIZE & FORECAST
21.14.2 IMAGES
21.14.3 VIDEOS
22 MIDDLE EAST & AFRICA
22.1 MARKET OVERVIEW
22.1.1 IMAGES
22.1.2 VIDEOS
22.2 MARKET SIZE & FORECAST
22.2.1 PRODUCT: MARKET SIZE & FORECAST
22.2.2 SOURCE: MARKET SIZE & FORECAST
22.2.3 APPLICATION: MARKET SIZE & FORECAST
22.2.4 LICENSE: MARKET SIZE & FORECAST
22.2.5 END-USER: MARKET SIZE & FORECAST
22.3 KEY COUNTRIES
22.4 UAE
22.4.1 MARKET SIZE & FORECAST
22.4.2 IMAGES
22.4.3 VIDEOS
22.5 SOUTH AFRICA
22.5.1 MARKET SIZE & FORECAST
22.5.2 IMAGES
22.5.3 VIDEOS
22.6 SAUDI ARABIA
22.6.1 MARKET SIZE & FORECAST
22.6.2 IMAGES
22.6.3 VIDEOS
22.7 EGYPT
22.7.1 MARKET SIZE & FORECAST
22.7.2 IMAGES
22.7.3 VIDEOS
22.8 NIGERIA
22.8.1 MARKET SIZE & FORECAST
22.8.2 IMAGES
22.8.3 VIDEOS
23 LATIN AMERICA
23.1 MARKET OVERVIEW
23.1.1 IMAGES
23.1.2 VIDEOS
23.2 MARKET SIZE & FORECAST
23.2.1 PRODUCT: MARKET SIZE & FORECAST
23.2.2 SOURCE: MARKET SIZE & FORECAST
23.2.3 APPLICATION: MARKET SIZE & FORECAST
23.2.4 LICENSE: MARKET SIZE & FORECAST
23.2.5 END-USER: MARKET SIZE & FORECAST
23.3 KEY COUNTRIES
23.4 BRAZIL
23.4.1 MARKET SIZE & FORECAST
23.4.2 IMAGES
23.4.3 VIDEOS
23.5 MEXICO
23.5.1 MARKET SIZE & FORECAST
23.5.2 IMAGES
23.5.3 VIDEOS
23.6 ARGENTINA
23.6.1 MARKET SIZE & FORECAST
23.6.2 IMAGES
23.6.3 VIDEOS
23.7 COLOMBIA
23.7.1 MARKET SIZE & FORECAST
23.7.2 IMAGES
23.7.3 VIDEOS
23.8 CHILE
23.8.1 MARKET SIZE & FORECAST
23.8.2 IMAGES
23.8.3 VIDEOS
23.9 PERU
23.9.1 MARKET SIZE & FORECAST
23.9.2 IMAGES
23.9.3 VIDEOS
24 COMPETITIVE LANDSCAPE
24.1 COMPETITION OVERVIEW
24.2 MARKET RANKING & SHARES
25 KEY COMPANY PROFILES
25.1 ADOBE STOCK
25.1.1 BUSINESS OVERVIEW
25.1.2 PRODUCT OFFERINGS
25.1.3 KEY STRATEGIES
25.1.4 KEY STRENGTHS
25.1.5 KEY OPPORTUNITIES
25.2 GETTY IMAGES
25.3 HANHUA YIMEI VISUAL TECHNOLOGY
25.4 SHUTTERSTOCK
26 OTHER PROMINENT VENDORS
26.1 123RF
26.1.1 BUSINESS OVERVIEW
26.1.2 PRODUCT OFFERINGS
26.1.3 KEY STRENGTHS
26.1.4 KEY STRATEGIES
26.2 AGENCE FRANCE PRESSE (AFP)
26.3 AFP
26.4 AGEFOTOSTOCK
26.5 ALAMY
26.6 AP IMAGES
26.7 ARTLIST
26.8 CAN STOCK PHOTO
26.9 CANVA
26.10 COINAPHOTO
26.11 CREATIVE MARKET
26.12 DEATH TO STOCK
26.13 DEPOSITPHOTOS
26.14 DISSOLVE
26.15 DREAMSTIME
26.16 EAST NEWS
26.17 ENVANTO
26.18 EYEEM
26.19 FREEPIK
26.20 FOTOSEARCH
26.21 IMAGESBAZAAR
26.22 MASTERFILE
26.23 NEWSCOM
26.24 NHK VIDEO BANK
26.25 PANTHERMEDIA
26.26 PHOTOFOLIO
26.27 PICFAIR
26.28 PIXTA
26.29 POND5
26.30 PR PHOTOS
26.31 REDUX PICTURES
26.32 STORYBLOCKS
26.33 STOCKSY
26.34 STOCKUNLIMITED
26.35 THE MEGA AGENCY
26.36 THOMSON REUTERS
26.37 WENN
26.38 WESTEND61
26.39 ZUMA PRESS
27 REPORT SUMMARY
27.1 KEY TAKEAWAYS
27.2 STRATEGIC RECOMMENDATIONS
28 QUANTITATIVE SUMMARY
29 APPENDIX
29.1 ABBREVIATIONS
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As headlines spotlight spot Bitcoin (BTC) exchange-traded fund (ETF) flows and institutions revealing their exposure to BTC ETFs, financial service infrastructure providers are quietly integrating blockchain technology into their systems.
According to a recent report from the Depository Trust & Clearing Corporation (DTCC), the firm conducted a pilot program named Smart NAV in collaboration with Chainlink (LINK). This initiative aimed to extend the capabilities of DTCC’s Mutual Fund Profile Service I (MFPS I), the industry standard for transmitting ‘Price and Rate’ data, also known as ‘NAV data.’
DTCC’s Mutual Fund Services business currently operates MFPS I, offering fund companies an automated solution to deliver prices and daily distribution rates to numerous clients for tens of thousands of mutual fund securities. Traditionally, DTCC collects price and rate data from funds/service providers and distributors, then aggregates and disseminates it at regular intervals through its message queue (MQ) and file-based methods.
The Smart NAV Pilot served as a digital extension of the existing MFPS I service, aiming to broaden and complement its current capabilities. DTCC recognized the growing interest in mutual fund tokenization and saw an opportunity for on-chain price and rate data to facilitate new initiatives. Taking a ‘chain-agnostic’ approach, meaning the ability to disseminate NAV data across virtually any blockchain, was crucial for enabling other use cases to build upon Smart NAV’s foundations.
Ten market participants, including major names like American Century Investments, BNY Mellon, and JP Morgan, collaborated with DTCC and Chainlink on the pilot. They evaluated the feasibility and industry value of implementing a distributed ledger technology (DLT)-based price and rate dissemination solution to unlock new benefits and support experimentation in the asset management space.
The pilot results demonstrated that delivering structured data on-chain and establishing standard roles and processes enabled foundational data to be integrated into various on-chain use cases, such as tokenized funds and bulk consumer smart contracts. This capability can fuel future industry exploration and empower numerous downstream use cases, including brokerage portfolio applications.
The simplest application of Smart NAV is to provide trusted, verifiable data on virtually any blockchain network to support its use in business workflows. During the pilot, DTCC acted as both the provider and governor of the on-chain data solution, while Chainlink’s CCIP served as the interoperability layer. The core capability explored is adaptable across a wide range of use cases, potentially enhancing operational efficiency and streamlining processes.
Based on the positive findings, DTCC sees an opportunity to expand the scope of the pilot to explore broader use cases beyond price and rate data dissemination and across more blockchains.
Source: kitco.com
The post DTCC partners with Chainlink and JPMorgan to pilot blockchain integration for fund data appeared first on HIPTHER Alerts.
Blockchain
Is Donald Trump’s Recent Crypto-Friendly Stance Genuine Or Opportunistic? Experts Weigh In
Presidential candidate Donald Trump recently made a surprising endorsement of crypto, suggesting that he would ease hostility towards cryptocurrencies in the US if re-elected.
Trump stated, “If we’re going to embrace it, we have to let them be,” and urged crypto supporters to vote for him. This marks a significant shift from his previous criticisms of Bitcoin and other cryptocurrencies in 2019, where he labeled them as “not money” due to their volatility and lack of intrinsic value, expressing concerns about their potential use in illegal activities like drug trafficking.
Crypto’s Impact on Voter Preferences
With approximately 20% of American adults reportedly holding crypto, candidates are taking notice. Markus Levin of XYO Network sees embracing crypto and implementing solid regulation as a strategic move in elections and sound policy overall. He believes Trump’s apparent positive stance towards the industry will sway some voters in his favor.
Jonathan Thomas of Blueberry suggests that Trump’s crypto-friendly rhetoric may attract voters who prioritize crypto as a single-issue matter.
Skepticism Surrounding Trump’s Crypto Support
However, not everyone is convinced by Trump’s newfound endorsement of crypto. NFT enthusiast Thorne Melcher views it as “flimsy” and warns against the potential for conservative politics to restrict crypto due to its use in areas such as trans hormone replacement therapy and abortions.
While some may see Trump’s support for crypto as a reason to vote for him, others like Stephanie Vaughan of Veda caution against assuming substantial benefits from this endorsement alone. Vaughan highlights the Biden Administration’s hardline stance on crypto regulation by enforcement, which she believes is unworkable and could push voters towards Trump.
Trump’s Strategy to Attract Crypto Voters
Trump’s pivot from crypto skeptic to NFT enthusiast reflects a strategic move to appeal to voters interested in crypto. Vaughan suggests that many crypto-focused voters may have supported Biden in the last election, but Trump is actively courting them by recognizing the industry’s significance.
By acknowledging crypto’s growing influence on voters, Trump aims to draw support away from Biden, positioning himself as the candidate more aligned with the interests of the crypto community.
Source: cryptonews.com
The post Is Donald Trump’s Recent Crypto-Friendly Stance Genuine Or Opportunistic? Experts Weigh In appeared first on HIPTHER Alerts.
droppGroup, a trailblazer in amalgamating blockchain and artificial intelligence, has unveiled droppLink, an innovative service platform poised to potentially revolutionize AI management and development across various blockchains. The architecture of droppLink empowers users with control over data contributions, abstracts computational requirements, and streamlines micropayments.
Stakeholders, dubbed Computational Resource Patrons (CRPs), contribute to the infrastructure costs and share profits from the facilitated AI operations.
As a web3 development firm, droppGroup specializes in deploying patented innovations in AI, machine learning (ML), object recognition, streaming, crypto, augmented reality (AR), virtual reality (VR), and mixed reality (MR). droppGroup is now advancing multi-modal AI systems with droppLink.
Gurps Rai, co-founder and CEO of droppGroup, explains that droppLink tokenizes each stage in an AI model’s lifecycle across multiple blockchains, such as Solana, Polygon, Ethereum, Base, and Hyperledger Fabric 2.5, ensuring unparalleled data integrity and expediting AI development.
Rai added, “This process upholds data ownership rights while establishing a transparent, immutable usage record via our Proof of Gen and Data Genesis protocols.”
Christopher J. Kelly, co-founder and president of droppGroup, underscores the company’s commitment to pushing the boundaries of multi-modal AI systems at the convergence of physical and digital realms, introducing cutting-edge solutions to the market.
Scheduled to speak on the monitoring and evaluation panel at the AWS Summit on May 22, Kelly will address topics like data integrity in AI and its alignment with the company’s mission.
With the AI market projected to reach $297 billion by 2027, ethical considerations such as data provenance, intellectual property protection, and fair compensation are paramount.
Accessible through droppPhygital, droppLink leverages multi-chain integration and robust tokenization to bolster data integrity. By melding blockchain technology with artificial intelligence, droppLink establishes an ethical management layer, aiming to reshape the AI landscape by fostering trust, transparency, and innovation.
Source: cryptotimes.io
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