Blockchain Press Releases
Embedded AI Market worth $18.0 billion by 2028 – Exclusive Report by MarketsandMarkets™
CHICAGO, June 22, 2023 /PRNewswire/ — Because of rising demand for smart devices and IoT, advancements in AI technology, the rise of edge computing, the development of autonomous systems, applications across various sectors, miniaturisation and energy efficiency, and the importance of data privacy and security, the future of the Embedded AI market appears promising. As AI becomes an intrinsic aspect of embedded systems, boosting their functionality and decision-making skills, this industry is likely to increase significantly.
The global Embedded AI Market is projected to grow from USD 9.4 billion in 2023 to USD 18.0 billion by 2028 at a compound annual growth rate (CAGR) of 14.0% during the forecast period, according to a new report by MarketsandMarkets™. The Embedded AI Market is expected to grow significantly during the forecast period, owing to various business drivers like growing demand for intelligent and autonomous systems for a personalized experience and increasing advancements in AI and ML technologies for better and smart decisions. Furthermore, the proliferation of connected devices and IoT ecosystem for effective communications and the rising usage of Embedded AI for industry-specific applications drive market growth.
Browse in-depth TOC on “Embedded AI Market“
271 – Tables
55 – Figures
320 – Pages
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=261207150
Scope of the Report
|
Report Metrics |
Details |
|
Market size available for years |
2017–2028 |
|
Base year considered |
2022 |
|
Forecast period |
2023–2028 |
|
Forecast units |
USD (Billion) |
|
Segments covered |
Offering, Data Type, Vertical, and Region |
|
Geographies covered |
North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America |
|
Companies covered |
Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands), Lattice (Oregon), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), Au-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US). |
By offering, Services to register for the highest CAGR during the forecast period
The scope of the services segment comprises training and consulting, system integration and implementation, and support and maintenance. The services segment of the Embedded AI Market is growing rapidly as businesses increasingly look to outsource the development and deployment of AI solutions. This is due to a number of factors, including the complexity of developing AI-powered applications, the need for specialized expertise, and the high cost of in-house development. Businesses looking to adopt AI should consider the services segment as a viable option for developing and deploying AI solutions.
By data type, numeric data to register for the highest market size during the forecast period
The increasing demand for real-time data processing and analysis boosts the demand for numeric data type in the Embedded AI Market. Numeric data plays a crucial role in the Embedded AI Market, forming the foundation for training, optimizing, and deploying AI models on embedded systems. Numeric data captured by sensors, cameras, or other sources in real-time serves as input to the deployed AI models, allowing them to process the data and generate actionable outputs promptly. This is crucial for robotics, autonomous vehicles, or industrial automation applications, where quick decision-making is required.
Request Sample Pages @ https://www.marketsandmarkets.com/requestsampleNew.asp?id=261207150
By region, Asia Pacific to account for the highest growth rate during the forecast period
Embedded AI adoption in the Asia Pacific region is experiencing significant growth. It is driven by several factors, including the region’s strong manufacturing base, rapid urbanization, increasing demand for IoT applications, and advancements in AI technologies. With strong government support, a thriving startup ecosystem, and investments in AI infrastructure, the Asia Pacific market presents significant growth opportunities for Embedded AI technologies and solutions.
Top Key Companies in Embedded AI Market:
Some major players in the Embedded AI Market include Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (The Netherlands), Lattice (US), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), AU-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).
Recent Developments:
- In April 2023, IBM announced the launch of Watson Edge for Financial Services, a solution that helps financial institutions deploy AI at the edge to improve customer service, fraud detection, and risk management.
- In April 2023, Qualcomm Technologies partnered with eInfochips, an Arrow company, to launch Edge Labs. Edge Labs is a program that will help developers and innovators accelerate the development and deployment of AI applications for embedded devices. This partnership will help developers and innovators accelerate developing and deploying AI applications for embedded devices. Edge Labs will provide developers with access to Qualcomm’s expertise in AI and eInfochips’ development and deployment services.
- In March 2023, Arm partnered with Google Cloud to bring Arm-based solutions to the Google Cloud Platform (GCP). The partnership is expected to help Arm customers take advantage of GCP’s AI and machine learning capabilities and to help Google Cloud customers deploy Arm-based solutions.
- In March 2023, IBM acquired Instana, an application performance monitoring software provider. The acquisition will help IBM to expand its edge AI capabilities and provide customers with a more comprehensive view of their applications.
- In March 2023, the AI-powered tool has been designed to assist Microsoft 365 users in performing various tasks, such as troubleshooting, training, and onboarding. Microsoft 365 Copilot, as an embedded AI technology, is integrated within a broader software ecosystem and has been created to function seamlessly with other Microsoft 365 products and services.
- In October 2022, Intel partnered with Amazon Web Services (AWS) to bring Intel-based solutions to AWS. The partnership is expected to help Intel customers use AWS’s AI and machine learning capabilities to help AWS customers deploy Intel-based solutions.
- In June 2022, Microsoft announced a partnership with NVIDIA to accelerate the development and deployment of edge AI applications. The partnership will combine Microsoft’s Azure platform with NVIDIA’s AI hardware and software to create a more comprehensive solution for edge computing.
- In Jan 2022, IBM partnered with Google Cloud to accelerate the development and deployment of edge AI applications. The partnership will combine IBM’s AI and ML expertise with Google Cloud’s infrastructure and AI capabilities.
Inquiry Before Buying @ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=261207150
Embedded AI Market Advantages:
- Sensitive data no longer needs to be sent to external servers or the cloud for processing thanks to embedded AI. Data can be maintained on the device or on a private network by performing AI computations locally, boosting privacy and lowering the possibility of data breaches or unauthorised access. For applications that deal with sensitive data, such those in healthcare or banking, this is essential.
- Data communication to remote servers is not necessary because embedded AI processes data on the device itself. This allows for quicker response times and considerably lowers latency. When compared to conventional computing architectures, embedded AI also enables optimised hardware-software integration by utilising specialised chips or accelerators to achieve improved speed and energy efficiency.
- By incorporating AI capabilities directly into devices, no additional infrastructure or cloud-based resources are required. This saves operational costs while simplifying deployment. Furthermore, because the intelligence is dispersed across several devices rather than depending on a centralised server architecture, embedded AI systems grow readily. Because of its scalability and low cost, embedded AI is an appealing solution for both small-scale and large-scale deployments.
- Embedded AI enables edge devices to make intelligent decisions on their own without relying on ongoing contact with central servers. This provides edge intelligence and autonomy, allowing devices to analyse and respond to data locally, resulting in faster and more efficient operations. Edge intelligence is especially useful in settings requiring real-time judgements, such as autonomous drones or smart manufacturing.
- By analysing data locally and customising the experience to each user’s preferences and behaviours, embedded AI can enhance user interactions. This makes it possible for devices to offer personalised recommendations, predictive ideas, and customised interactions, improving user engagement and pleasure.
- Through resource management and local computing, embedded AI systems can reduce their overall energy usage. Embedded AI devices can work effectively with lower energy requirements by minimising the need for data transmission and decreasing dependency on power-hungry cloud servers. For devices like wearables or IoT sensors that run on batteries or have limited resources, this is especially advantageous.
- Devices with inbuilt AI may carry out complicated calculations locally without largely relying on cloud resources or constant network connectivity. As a result, embedded AI solutions are more readily available and reasonably priced for both organisations and consumers. This decreases network dependence and associated costs. It also makes applications possible in rural or unconnected settings where cloud connectivity can be expensive or scarce.
Report Objectives
- To define, describe, and predict the Embedded AI Market by offering (hardware, software, and services), data type, vertical, and region
- To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
- To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the Embedded AI Market
- To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
- To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
- To profile key players and comprehensively analyze their market rankings and core competencies
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the Embedded AI Market
- To analyze the impact of recession across all the regions across the Embedded AI Market
Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting
Related Reports:
AI as a Service Market – Global Forecast to 2028
NLP in Education Market – Global Forecast to 2028
Text to Video AI Market – Global Forecast to 2027
Artificial Intelligence Market – Global Forecast to 2027
Cognitive Computing Market– Global Forecast to 2025
About MarketsandMarkets™
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:
Mr. Aashish Mehra
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062
USA: +1-888-600-6441
Email: [email protected]
Research Insight: https://www.marketsandmarkets.com/ResearchInsight/embedded-ai-market.asp
Visit Our Website: https://www.marketsandmarkets.com/
Content Source: https://www.marketsandmarkets.com/PressReleases/embedded-ai.asp
Logo: https://mma.prnewswire.com/media/660509/MarketsandMarkets_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/embedded-ai-market-worth-18-0-billion-by-2028—exclusive-report-by-marketsandmarkets-301857895.html
Blockchain Press Releases
Movement Network Foundation Announces REX-Osprey™ Funds Files for First U.S. Movement ETF as Public Mainnet Beta Launches
First Movement ETF Filing Will Provide U.S. Investors with Exposure to Movement Ecosystem
GRAND CAYMAN, Cayman Islands, March 10, 2025 /PRNewswire/ — The Movement Network Foundation, the organization dedicated to advancing MoveVM technology, today announced that REX-Osprey has filed for a new exchange-traded fund (ETF) focused on $MOVE. If approved, this ETF would be the first providing exposure to Movement through traditional financial rails. Simultaneously, the Foundation announced the successful launch of Movement Public Mainnet Beta, with $250M in at-launch Total Value Locked (TVL) from its Cornucopia program.
“This filing represents a historic moment not just for Movement, but for the entire Move landscape,” said Rushi Manche, Co-Founder of Movement Labs. “Breaking the pattern of ETFs limited to long-established cryptocurrencies opens doors for institutional capital to support next-generation blockchain innovation.”
“Traditional investors have expressed keen interest in gaining regulated exposure to emerging blockchain technologies without directly managing tokens,” noted Cooper Scanlon, Co-Founder of Movement Labs. “This ETF represents the convergence of innovative financial products with cutting-edge blockchain architecture.”
ETF Provides Traditional Market Access to $MOVE
The Move programming language, originally developed by Meta, empowers Movement developers to create more efficient, more secure smart contracts. If approved, the ETF would allow investors to gain exposure to Movement through traditional brokerage accounts and retirement vehicles without the technical complexities of direct token management.
Public Mainnet Beta Launches with Substantial Liquidity
Concurrent with the ETF filing announcement, Movement Network Foundation has successfully launched its Public Mainnet Beta with $250M in Total Value Locked (TVL). This day-one liquidity provides the network with immediate utility.
The Public Mainnet Beta enables permissionless smart contract deployment, full user onboarding, and Ethereum settlement. It gives users and builders the full benefits of Move and the MoveVM. Users can access the network through the canonical Movement bridge powered by LayerZero.
For more information about Movement Public Mainnet Beta, visit movementnetwork.xyz or follow @movementlabsxyz, @movementfdn, @moveecosystem @Move_Collective on Twitter.
About Movement Network Foundation
Movement Network Foundation is the driving force behind the Movement ecosystem, dedicated to fostering innovation and advancing the adoption of MoveVM technology. The foundation oversees the development of Movement Network, a next-gen solution built using MoveVM that settles to Ethereum. Through its MoveDrop program and ecosystem initiatives, the foundation supports developers, projects, and community contributors building decentralized applications. Learn more at movementfdn.xyz or follow @movementfdn on X.
MEDIA CONTACT
Carmen Pearson
Head of PR & Communications
Movement Labs
[email protected]
Logo – https://mma.prnewswire.com/media/2575812/Movement_Network_Foundation.jpg
View original content:https://www.prnewswire.co.uk/news-releases/movement-network-foundation-announces-rex-osprey-funds-files-for-first-us-movement-etf-as-public-mainnet-beta-launches-302397057.html
Blockchain Press Releases
Market Needs a Stronger Boost than Trump’s Crypto Strategic Reserve: New Bybit x Block Scholes Crypto Derivatives Report
DUBAI, UAE, March 10, 2025 /PRNewswire/ — Bybit, the world’s second-largest cryptocurrency exchange by trading volume, released the latest weekly crypto derivatives analytics report with Block Scholes as President Trump signed the executive order to establish a strategic BTC reserve on Thursday.
In the first week of March, crypto market movements suggested traders had digested the positive news and pulled towards bearish territories with a declining S&P 500 and growing skepticism surrounding ETH and SOL. This waning enthusiasm is evidenced by a notable increase in demand for short-term protective options as investors seek to mitigate potential risks in the evolving market landscape.
Key Highlights:
- Stable Funding Rates: Following President Trump’s announcement on Mar. 2, the spot prices of involved cryptocurrencies surged. However, funding rates for these assets have not reached extreme levels, remaining relatively stable compared to highs seen prior to Trump’s inauguration. This suggests a balanced demand for long positions, indicating subdued short interest in the market.
- Volatility in ETH Options: The enthusiasm surrounding ETH was quickly tempered as ongoing tariff discussions contributed to bearish market sentiment. This has resulted in a notable increase in realized volatility, surpassing options-implied levels. As traders seek protection, the market has seen a shift in short-term volatility towards puts, reflecting a cautious outlook.
- Decline in SOL Open Interest: The report also notes a decrease in open interest for Solana options at the end of February. Despite the inclusion of SOL in the proposed crypto reserve, open interest has not seen a corresponding uptick, with a majority of new positions still favoring calls, albeit at a lackluster pace.
Access the Full Report
For detailed insights, readers may download the full report.
#Bybit / #TheCryptoArk /#BybitResearch
About Bybit
Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving a global community of over 60 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com.
For more details about Bybit, please visit Bybit Press
For media inquiries, please contact: [email protected]
For updates, please follow: Bybit’s Communities and Social Media
Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube
Photo – https://mma.prnewswire.com/media/2636763/1.jpg
Photo – https://mma.prnewswire.com/media/2636745/image_5029802_42288064.jpg
Logo – https://mma.prnewswire.com/media/2267288/Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/market-needs-a-stronger-boost-than-trumps-crypto-strategic-reserve-new-bybit-x-block-scholes-crypto-derivatives-report-302396850.html
Blockchain Press Releases
AB is Now Listed on Hotcoin and Set to Launch on Gate, BitMart, Lbank, and Biconomy
SINGAPORE, March 9, 2025 /PRNewswire/ — On March 8, 2025, AB DAO announced that $AB has officially been listed on Hotcoin (hotcoin.com) at 18:00 (UTC+8), further expanding its global trading network and driving AB’s adoption in the Web3 ecosystem. Additionally, $AB is set to be listed on four more major exchanges: Gate (gate.io), BitMart (bitmart.com), Lbank (lbank.com), and Biconomy (biconomy.com), significantly enhancing AB’s global liquidity and ecosystem reach.
AB Trading Details
Trading Pair: AB/USDT
Deposit Opening: March 7, 2025, 12:00 (UTC+8)
Trading Opening: March 8, 2025, 18:00 (UTC+8)
Hotcoin Official Announcement:
https://www.hotcoin.com/zh_CN/support/article/?id=25704168485425152&code=25704168485163008&catalogCode=19112597563772928
AB DAO Ecosystem Continues to Expand
With the Hotcoin listing, users can now trade $AB on the following exchanges:
Bitget (bitget.com)
HTX (htx.com)
MEXC (mexc.com)
BingX (bingx.com)
Hotcoin (hotcoin.com)
4E (eeee.com)
Gate (gate.io) (Coming Soon)
BitMart (bitmart.com) (Coming Soon)
Lbank (lbank.com) (Coming Soon)
Biconomy (biconomy.com) (Coming Soon)
The listing of $AB on Hotcoin marks another major step in AB DAO’s global expansion strategy. In the coming months, AB will continue listing on more exchanges, expanding its ecosystem use cases and accelerating worldwide adoption.
AB DAO’s Goal: 100 Million $AB Holders
Now is the time to join the movement—unite, strengthen the community, and drive the expansion of the AB ecosystem. The mission is clear: onboard tens of millions of users and build a decentralized future together.
Stay Updated with AB DAO
Official Website: https://ab.org
Telegram Global Community: https://t.me/Newtonproject
Telegram Chinese Community: http://t.me/ABgonglian
Telegram English Channel: https://t.me/AB202528
X (Twitter): https://x.com/ABDAO_Global
Discord: https://discord.gg/BSbgK6J
View original content:https://www.prnewswire.co.uk/news-releases/ab-is-now-listed-on-hotcoin-and-set-to-launch-on-gate-bitmart-lbank-and-biconomy-302396571.html
-
Blockchain4 days agoBlocks & Headlines: Today in Blockchain – March 6, 2025 – Featuring Powerhive, Telcoin, Elon Musk, Avalanche, Parsiqs
-
Blockchain6 days ago
Asset Token Ventures Launches MBSTokenTM Funds to Unlock Mortgage-Backed Securities on the Blockchain
-
Blockchain7 days ago
Blocks & Headlines: Today in Blockchain – March 3, 2025 | Crypto.com, Cronos, Ethereum Foundation, Tesla, InfinixChain
-
Blockchain Press Releases7 days agoPresident Trump Proposes CoinDesk Large Cap Select Index (“CoinDesk 5”) Components for U.S. Crypto Strategic Reserve
-
Blockchain3 days ago
Blocks & Headlines: Today in Blockchain – March 7, 2025 | THSYU Exchange, EY, Virginia Blockchain Council
-
Blockchain Press Releases3 days agoCoolWallet Strengthens Security with Enhanced Transaction Confirmation
-
Blockchain Press Releases4 days ago
Bybit Unveils EcoGalaxy: Mantle Surge, Featuring the Largest MNT Prize Pool with Up to 1,000,000 MNT in Airdrops
-
Blockchain7 days ago
Fifth Era Acquisition Corp I Completes $230,000,000 Initial Public Offering
