Blockchain Press Releases
Machine Learning Market to Hit $419.94 Billion by 2030: Grand View Research, Inc.
SAN FRANCISCO, July 17, 2023 /PRNewswire/ — The global machine learning market size is anticipated to reach USD 419.94 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 34.8% from 2023 to 2030. The market is experiencing continuous growth, driven by the increasing demand for AI-driven solutions across industries. It is expected to expand further as more organizations recognize the potential of machine learning and invest in its applications. The growing deployment of Edge AI is responsible for market growth. Edge AI reduces the reliance on cloud computing and provides faster response times, improved privacy, and bandwidth efficiency.
Key Industry Insights & Findings from the report:
- The emergence of connected AI is anticipated to make it possible for ML algorithms to learn based on newly available information continuously. These developments are expected to propel the market expansion in the upcoming years. As these technologies continue to advance and mature, they are expected to have a transformative impact on various industries, shaping the way businesses operate, make decisions, and deliver value to customers.
- The advertising & media segment dominated the market with a revenue share of 20.0% in 2022. The advertising and media sector accounted for the largest share in 2022 owing to capabilities such as buyer’s optimization, data processing, and analysis provided by the technology.
- Factors such as advancements in computing power, increased data generation, and the need for automated decision-making drive the demand for machine learning solutions across various industries.
- The Asia Pacific region is expected to grow at the fastest CAGR of 43.5% from 2023 to 2030. The region’s large population, diverse industries, and growing investment in technological infrastructure all contribute to market growth.
Read full market research report, “Machine Learning Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Services), By Enterprise Size, By End-use (Advertising & Media, Healthcare, Retail), By Region, And Segment Forecasts, 2023 – 2030“, published by Grand View Research.
Machine Learning Market Growth & Trends
Numerous companies are using machine learning (ML) in various industries to boost productivity, streamline processes, and facilitate decision-making. ML is used for personalized product recommendations, demand forecasting, fraud detection, inventory management, and pricing optimization. For instance, Netflix, Inc., a U.S.-based media-streaming and video-rental company, uses machine learning to enhance the customer experience. The company has long been using machine learning algorithms to personalize its viewer recommendations. E-commerce firms like Amazon.com, Inc, a U.S.-based multinational technology company, also uses ML for recommendation to boost sales.
Developments such as fine-tuned personalization, hyper-targeting, search engine optimization (SEO), no-code environments, self-learning bots, and others are expected to impact the machine-learning landscape significantly. These developments are responsible for the continuous evolution of machine learning applications, driven by the demand for personalized experiences, improved website rankings, efficient marketing strategies, accessibility, and intelligent automation.
For instance, Google LLC has significantly advanced machine learning, specifically in computer vision. Google’s research division, Google Research, has developed and deployed machine learning models such as the Inception series and the EfficientDet object detection model. These models have significantly enhanced the accuracy and performance of computer vision tasks, including image classification, object detection, and image segmentation.
Many industries in North America have adopted machine learning to gain insights from massive data and improve business operations. Machine learning is used in various sectors such as finance, healthcare, retail, manufacturing, and technology to perform tasks such as fraud detection, personalized marketing, predictive maintenance, and automated customer service. The growing adoption of cloud-based machine learning services in North America propels the market’s growth. The rise of cloud computing platforms, such as Amazon Web Services, Microsoft Azure, and Google Cloud, has made it easier for businesses to access and deploy machine learning tools and infrastructure.
Machine Learning Market Report Scope
|
Report Attribute |
Details |
|
Market size value in 2023 |
USD 52.02 billion |
|
Revenue forecast in 2030 |
USD 419.94 billion |
|
Growth rate |
CAGR of 34.8% from 2023 to 2030 |
|
Base year for estimation |
2022 |
|
Historical data |
2017 – 2021 |
|
Forecast period |
2023 – 2030 |
Machine Learning Market Segmentation
Grand View Research has segmented the global machine learning market based on component, enterprise size, end-use, and region:
Machine Learning Market – Component Outlook (Revenue, USD Billion, 2017 – 2030)
- Hardware
- Software
- Services
Machine Learning Market – Enterprise Size Outlook (Revenue, USD Billion, 2017 – 2030)
- SMEs
- Large Enterprises
Machine Learning Market – End-use Outlook (Revenue, USD Billion, 2017 – 2030)
- Healthcare
- BFSI
- Law
- Retail
- Advertising & Media
- Automotive & Transportation
- Agriculture
- Manufacturing
- Others
Machine Learning Market – Regional Outlook (Revenue, USD Billion, 2017 – 2030)
- North America
- U.S.
- Canada
- Europe
- Germany
- UK
- France
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Latin America
- Brazil
- Mexico
- Middle East and Africa
- Kingdom of Saudi Arabia (KSA)
- UAE
- South Africa
List of Key Players in the Machine Learning Market
- Amazon Web Services, Inc.
- Baidu Inc.
- H2O.ai.
- Hewlett Packard Enterprise Development LP
- Intel Corporation
- Google LLC
- International Business Machines Corporation
- Microsoft Corporation
- SAS Institute Inc.
- SAP SE
Check out more related studies published by Grand View Research:
- Artificial Intelligence Market – The global artificial intelligence market size is expected to reach USD 1,811.75 billion by 2030, expanding at a CAGR of 37.3% from 2023 to 2030, according to a new report by Grand View Research, Inc. Artificial Intelligence (AI) denotes the concept and development of computing systems capable of performing tasks customarily requiring human assistance, such as decision-making, speech recognition, visual perception, and language translation. AI uses algorithms to understand human speech, visually recognize objects, and process information.
- Deep Learning Market – The global deep learning market size is expected to reach USD 526.7 billion by 2030, expanding at a CAGR of 33.5% from 2023 to 2030, according to a new report by Grand View Research, Inc. Deep learning is expected to gain sustainable momentum in the coming years owing to its high computational ability and improved complex data-driven applications. The growing emphasis on big data analytics and the adoption of Artificial Intelligence (AI) in customer-centric services is expected to propel the growth of the deep learning industry over the forecast period.
- Natural Language Processing Market – The global natural language processing market size is estimated to reach USD 439.85 billion by 2030, expanding at a CAGR of 40.4% from 2023 to 2030, according to a new study by Grand View Research, Inc. Machine learning is predicted to play a critical role in natural language processing (NLP) techniques, mostly in text analytics, as AI advances. In the future, unsupervised and supervised learning will enable machine-learning engines to undertake more in-depth assessments. According to their ongoing evolution, social media platforms are expected to play a superior role in business decisions. A company, for instance, can rely on several NLP tools to track customer evaluations, feedback, and comments about their business on social media platforms and in the news around the time of a quarterly report.
Browse through Grand View Research’s Next Generation Technologies Research Reports.
About Grand View Research
Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research Helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead.
Contact:
Sherry James
Corporate Sales Specialist, USA
Grand View Research, Inc.
Phone: 1-415-349-0058
Toll Free: 1-888-202-9519
Email: [email protected]
Web: https://www.grandviewresearch.com
Grand View Compass | Market Trend Reports
Follow Us: LinkedIn | Twitter
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Blockchain Press Releases
Purchasers of Quantstamp QSP Tokens May Be Eligible for Payment from the Quantstamp Fair Fund
COSTA MESA, Calif., Jan. 22, 2025 /PRNewswire/ — The following statement is being issued by Simpluris, Inc., the SEC-appointed Fund Administrator.
UNITED STATES OF AMERICA
Before the
SECURITIES AND EXCHANGE COMMISSION
In the Matter of Quantstamp, Inc.
Administrative Proceeding File No. 3-21535
This Notice is Pursuant to a Distribution Plan approved by the United States Securities and
Exchange Commission in the captioned matter.
If you purchased or acquired Quantstamp QSP tokens from October 1, 2017, through July 20, 2023, inclusive, you may be eligible for a distribution from the Fair Fund created in the Securities and Exchange Commission (“SEC”) administrative proceeding captioned above (the “Fair Fund”).
The Fair Fund is being distributed pursuant to a Distribution Plan (the “Plan”) approved by the SEC. The Plan provides for the distribution of the Fair Fund to compensate investors based on their losses, due to the misconduct of Quantstamp, Inc. described in the SEC’s administrative proceeding, on the purchase of QSP tokens from October 1, 2017 through July 20, 2023. You can view and download a copy of the SEC’s order and the Plan on the Important Documents tab on the website for this matter: www.QuantstampFairFund.com/documents.
To be considered for eligibility for a Distribution Payment from the Fair Fund, you must timely submit a completed Claim Form online or via mail. Claim Forms completed online must be submitted on or before 11:59 p.m. Eastern Standard Time (“EST”) on April 10, 2025. Claim Forms submitted via mail must be sent to the address provided on the Claim Form and postmarked (or if not sent by U.S. Mail, received) by April 10, 2025.
You may complete the Claim Form online here: www.QuantstampFairFund.com/form/claim. Alternatively, you may download a paper copy from of the Claim Form on the Important Documents page www.QuantstampFairFund.com/documents, or request a copy of the paper Claim Form from the Fund Administrator via email at [email protected] or by calling 833-215-6101, for submission by mail to the address set forth on the Claim Form.
ADDITIONAL INFORMATION
Additional information regarding the Fair Fund, including copies of the Plan, the Plan Notice, the Claim Form, and other relevant documents may be found at www.QuantstampFairFund.com. You may request copies or seek additional information by contacting the Fund Administrator.
|
Email: |
|
|
Call: |
833-215-6101 |
|
Write: |
Quantstamp Fair Fund |
|
Fund Administrator |
|
|
P.O. Box 25381 |
|
|
Santa Ana, CA 92799 |
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Blockchain
Humanity Protocol Collaborates with OKX Wallet to Redefine Decentralized Identity Verification and Reward Users
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Blockchain Press Releases
HTX Ventures: RWAFi and Stablecoin Payments Set to Dominate the Evolving DeFi Landscape
SINGAPORE, Jan. 22, 2025 /PRNewswire/ — The DeFi landscape has undergone a dramatic transformation since the “DeFi Summer” of 2020. With Donald Trump assuming office as the President of the United States, a new era of growth for DeFi is emerging, characterized by deeper integration with traditional finance.
HTX Ventures, the global investment division of HTX, has released a forward-looking report titled “A New Era for DeFi with Crypto Compliance and New Opportunities in RWA-Fi and Stablecoin Payments.“ This report analyzes the evolving environment of crypto trading in 2025, focusing on the significant opportunities and challenges RWAFi and stablecoin payments are facing.
Changes in the Crypto Trading Environment Favor Stablecoins and RWAs Prospects
The gradual easing of crypto regulatory policies is facilitating greater institutional investor participation within the crypto ecosystem. This shift has seen stablecoins and RWAs (Real-World Assets) emerge as crucial bridges connecting the traditional finance and decentralized finance worlds.
Data shows a remarkable surge in stablecoins usage in blockchain transactions, which has risen from 3% in 2020 to over 50% by the end of 2024. The core value proposition of stablecoins lies in their ability to facilitate seamless cross-border payments, making them strategically important in international trade.
The report underscores the immense potential of stablecoins, stating, “At present, the global cross-border B2B payments market processed through traditional channels is valued at approximately $40 trillion, while the consumer remittance market generates hundreds of billions of dollars in annual revenue. Stablecoins offer a new alternative for efficient cross-border payments via crypto channels. As the adoption gains momentum, stablecoins are set to penetrate and disrupt this market segment, becoming a key player in the global payments landscape.”
Furthermore, the U.S. House Financial Services Committee is actively preparing to introduce a stablecoin bill, which has the potential to be the first comprehensive crypto legislation passed by Congress. This legislation could drive widespread adoption of crypto wallets, stablecoins, and blockchain-based payment channels among traditional banks, enterprises, and individuals. Notably, several prominent traditional financial giants, including PayPal and Stripe, have already initiated active exploration within the stablecoin sector.
The RWA market saw positive growth during the recent bear market cycle, primarily driven by its stable returns. Unlike cryptocurrencies, the value of RWAs remains largely unaffected by the inherent volatility of the crypto market, a crucial characteristic for building a robust DeFi ecosystem. Industry leaders like Binance project that the RWA market could expand to $16 trillion by 2030. This immense market potential has driven companies like BlackRock and Tether to explore tokenized assets, leading to the emergence of compliance tools for RWA token issuance, such as Securitize.
Opportunities and Challenges for DeFi Projects
As stablecoins and RWAFi emerge as the cornerstones of the evolving DeFi landscape, project teams are tasked with developing innovative products tailored to the new environment and demands. While challenges are inevitable, these transformative shifts also unlock numerous opportunities.
In terms of realizing the vision of yield-generating stablecoins, the report identifies two prevailing market trends:
- Treasury-backed Stablecoins:
This approach involves utilizing the U.S. Treasury bonds as the underlying assets for stablecoins, effectively introducing traditional financial assets onto the blockchain through tokenization. This methodology preserves the stability and low-risk nature of Treasury bonds while seamlessly integrating the high liquidity and composability inherent to DeFi. Examples include USDY by Ondo Finance and a range of Treasury-backed Vault products from OpenTrade.
- Volatility-driven Yield:
The alternative approach leverages crypto market volatility and MEV to generate low-risk returns. Ethena, along with its native stablecoin USDe, serve as a prime example of this strategy.
Seamlessly integrating DeFi applications with RWAs presents another critical challenge for project teams. On one hand, the inherent stability of RWAs can effectively mitigate risk in DeFi applications. Collateralized Debt Position (CDP) stablecoins, such as Curve’s crvUSD, are increasingly incorporating RWAs as collateral to enhance their stability. On the other hand, the flexibility of DeFi can significantly boost the utilization rate of tokenized RWAs. Pendle’s newly introduced RWA section, boasting a current TVL of $150 million, exemplifies this synergy. Leveraging the composability of DeFi Lego, Pendle’s diverse yield-generating assets can offer highly attractive APYs, incentivizing users to invest in RWA stablecoins.
Emerging DeFi projects still possess significant untapped potential within niche sectors, such as addressing defaults scenarios within the private credit market within RWA domain and effectively leveraging RWA public chains to empower institutional finance. Looking ahead, the report suggests that on-chain forex, cross-border payment stacks, and multi-pool stablecoin aggregation platforms are among the promising development directions in the “New DeFi” era.
About HTX Ventures
HTX Ventures is the global investment arm of HTX, integrating investment, incubation, and research to identify and discover the best and most innovative projects in the market. Visit us here.
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