Blockchain Press Releases
Advanced Analytics Market worth $226.2 billion by 2028 – Exclusive Report by MarketsandMarkets™
CHICAGO, July 18, 2023 /PRNewswire/ — The incorporation of AI, rising acceptance of predictive and prescriptive analytics, real-time analytics, and a focus on ethics and data protection are all factors that will help shape the future of the Advanced Analytics Market. In order to address the changing needs of organisations and shape the evolution of the market, cloud-based analytics and sector-specific solutions will be extremely important.
The Advanced Analytics Market is projected to grow from USD 64.3 billion in 2023 to USD 226.2 billion by 2028, at a compound annual growth rate (CAGR) of 28.6% during the forecast period, according to a new report by MarketsandMarkets™. The Advanced Analytics Market is expected to grow significantly during the forecast period, owing to various business drivers like the rising adoption of big data and other related technologies to leverage real-time data processing and the growing demand for cloud-based analytics solutions for better accessibility and cost-effectiveness.
Browse in-depth TOC on “Advanced Analytics Market“
230 – Tables
62 – Figures
300 – Pages
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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, Type, Business Function, Vertical, and Region |
|
Geographies covered |
North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America |
|
Companies covered |
IBM (US), Oracle (US), Google (US), SAP (Germany), Microsoft (US), SAS Institute (US), KNIME (Switzerland), FICO (US), Altair (US), AWS (US), Salesforce (US), TIBCO Software (US), Alteryx (US), Teradata (US), Adobe (US), Absolutdata Analytics (US), Moody’s Analytics (US), Qlik (US), Databricks (US), Dataiku (US), Kinetica (US), MathWorks (US), Anaconda (US), H2O.ai (US), Domino Data Lab (US), DataRobot (US), DataChat (US), Imply (US), Promethium (US), Siren (Ireland), Tellius (US), SOTA Solutions (Germany), and Vanti Analytics (Israel). |
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 Advanced Analytics Market is growing rapidly. These services play a vital role in properly functioning advanced analytics solutions. Advanced analytics vendors require technical support and consulting services to deploy their solutions quickly and smoothly in the market.
By type, big data analytics to register for the highest market size during the forecast period
Big data analytics are frequently leveraged by financial services organizations looking to mine massive amounts of stock market data to identify and capitalize off previously unknown trends. Public health organizations are also increasingly leveraging huge amounts of population health data to develop better policies, treatment, and healthcare practices. Big data has changed and revolutionized the way businesses and organizations work. A lot of enterprises from different industries benefit from big data techniques and processing methods.
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By region, Asia Pacific to account for highest growth rate during forecast period
Asia Pacific is witnessing significant technological innovation in advanced analytics. Several Asian countries, such as Japan, China, and India, are leveraging information-intensive technologies, and advanced analytics is one of the leading technology trends. With new growth opportunities declining in conventional, strong markets such as North America and Europe, several vendors are showing an interest in Asia Pacific. China, Japan, and India are technology-driven countries and present major opportunities in terms of investments and revenues.
Top Key Companies in Advanced Analytics Market:
Some major players in the Advanced Analytics Market include IBM (US), Oracle (US), Google (US), SAP (Germany), Microsoft (US), SAS Institute (US), KNIME (Switzerland), FICO (US), Altair (US), AWS (US), Salesforce (US), TIBCO Software (US), Alteryx (US), Teradata (US), Adobe (US), Absolutdata Analytics (US), Moody’s Analytics (US), Qlik (US), Databricks (US), Dataiku (US), Kinetica (US), MathWorks (US), Anaconda (US), H2O.ai (US), Domino Data Lab (US), DataRobot (US), DataChat (US), Imply (US), Promethium (US), Siren (Ireland), Tellius (US), SOTA Solutions (Germany), and Vanti Analytics (Israel).
Recent Developments:
- In June 2023, IBM Cognos Analytics accelerates data-driven decisions with AI-powered insights for everyone in the organization. The latest version extends its analytics capabilities in a single, secure environment integrated with IBM’s data fabric architecture.
- In May 2023, SAP and IBM announced that IBM Watson technology will be embedded into SAP solutions to provide new AI-driven insights and automation.
- In May 2023, SAP and Google Cloud announced an extensive expansion of their partnership, introducing a comprehensive open data offering designed to simplify data landscapes and unleash the power of business data.
- In March 2023, Oracle has extended its collaboration with NVIDIA to include running strategic NVIDIA AI applications on the new Oracle Cloud Infrastructure (OCI) Supercluster.
- In March 2023, Google Cloud and Exabeam announced a partnership to help organizations detect and respond to security threats faster and more accurately.
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Advanced Analytics Market Advantages:
Organisations may extract valuable insights from massive and complicated databases using advanced analytics. Organisations may make better decisions based on data-driven insights by utilising tools like predictive analytics, machine learning, and data mining as opposed to depending on gut feeling or educated guesswork.
Businesses can obtain a market advantage by utilising the potential of advanced analytics. Organisations can predict market changes, improve operations, and create targeted strategies by identifying trends, patterns, and client preferences through extensive data analysis.
Organisations can improve operations and streamline procedures with the use of advanced analytics. Organisations can find bottlenecks, inefficiencies, and opportunities for improvement by analysing data on production, supply chains, and customer behaviour, which results in lower costs and more productivity.
Organisations can better understand their customers thanks to advanced analytics. Organisations may personalise marketing campaigns, enhance customer service, and create products that better satisfy customer demands by analysing customer data to determine purchase trends, preferences, and behaviours.
Organisations that use advanced analytics can effectively identify and reduce risks. Organisations can identify possible risks, such as fraud, security breaches, or market swings, by analysing past data, and then take preemptive steps to lessen their impact.
Innovative and profitable opportunities can be unlocked by using advanced analytics. Organisations can discover new product or service offerings, explore new markets, and create creative business models by analysing market trends, customer insights, and emerging technology.
Organisations may use advanced analytics to make quick choices and acquire real-time insights into their operations. Organisations can track important performance indicators, spot abnormalities, and react quickly to shifting market conditions by utilising technology like big data analytics and real-time data processing.
Organisations that use sophisticated analytics promote a culture of data-driven decision-making. It fosters a mindset of continuous improvement, encourages the use of data and evidence in decision-making processes, and makes it possible for organisations to adjust to quickly changing market conditions.
Report Objectives
- To define, describe, and predict the Advanced Analytics Market by offering (solutions and services), type, business function, verticals, 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 Advanced Analytics 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 Advanced Analytics Market
- To analyze the impact of recession across all the regions across the Advanced Analytics Market
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About MarketsandMarkets™
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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.
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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
The post droppGroup Unveils Platform with AI-Blockchain Integration appeared first on HIPTHER Alerts.
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