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Big Data Technology Market to Rise at 14% CAGR till 2027; Growing Internet Penetration will Provide Impetus to Market Growth, says Fortune Business Insights™

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Pune, India, June 09, 2021 (GLOBE NEWSWIRE) — The global big data technology market size is projected to reach USD 116.07 billion by the end of 2027. The increasing integration of AI and machine learning will emerge in favor of market growth. According to a report published by Fortune Business Insights, titled “Big Data Technology Market Size, Share & COVID-19 Impact Analysis, By Offering (Solution and Services), By Deployment (On-premise, Cloud based, and Hybrid), By Application (Customer analytics, Operational Analytics, Fraud Detection and Compliance, Enterprise Data Warehouse Optimization, and Others), By End Use Industry (BFSI, Retail, Manufacturing, IT and Telecom, Government, Healthcare, Utility, and Others), and Regional Forecast, 2020-2027,” the market was worth USD 41.33 billion in 2019 and will exhibit a CAGR of 14.0% during the forecast period, 2020-2027.

Big data is a combination of structured and unstructured data that is mostly collected by large scale as well as medium scale organizations across the world.  This data is aimed at applications in machine learning algorithms and predictive analysis. The increasing internet penetration across the world coupled with the growing adoption of cloud-based platforms has resulted in a huge amount of data that is circulated over the internet. The introduction of artificial intelligence has completely transformed several large scale industry sectors across the world. The use of big data technology has pioneered this transformation in the past few years. The presence of several large scale big data technology companies across the world will have a positive impact on the growth of the overall market in the coming years.

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Please visit: https://www.fortunebusinessinsights.com/industry-reports/big-data-technology-market-100144

The report on the big data technology market contains:

  • Future insights into the market
  • In-depth study of the regions
  • Product and brand strategies
  • Factors enabling market growth
  • Competitive landscape
  • COVID-19 impact

COVID-19 Pandemic to Bring a Bag of Mixed Fortunes for Big Data Vendors

The recent coronavirus outbreak has had a negative impact on several industrial sectors across the world. Accounting to the rapid spread of the disease, governments in several countries have implemented strict measures to control the virus. These measures have restricted the growth of businesses to an extent that a few SMEs have been compelled to shut down. The COVID-19 pandemic has had a diverse impact on the big data technology market.  Due to the increasing implementation of work from home policies for employees of all major organizations across the world, there has been a surge in the volume of online data.  While this has given a platform for big data vendors, the lack of workforce and confined capital budgets of IT businesses will restrict the growth of the market.

List of companies profiled in the report:

  • Amazon.com, Inc. (Washington, United States)
  • IBM Corporation (New York, United States)
  • Microsoft Corporation (New Mexico, United States)
  • Oracle Corporation (California, United States)
  • SAP SE (Weinheim, Germany)
  • Infosys Limited (Bengaluru, India)
  • Software AG (Darmstadt, Germany)
  • Dell Technologies (Texas, United States)
  • Cisco Systems, Inc. (California, United States)
  • Cloudera, Inc. (California, United States)
  • SAS Institute (North Carolina, United States)
  • Salesforce.com, inc. (California, United States)
  • Teradata Corporation (California, United States)
  • Tableau Software (Washington, United States)
  • Huawei Technologies Co., Ltd. (Shenzhen, China)
  • Fujitsu Limited (Tokyo, Japan)
  • The Hewlett-Packard Company (HPE) (California, United States)
  • Prolifics, Inc. (New York, United States)
  • Xplenty (California, United States)
  • Clairvoyant LLC (Arizona, United States)
  • Teradata Corporation (California, United States)
  • Deloitte Touche Tohmatsu Limited (London, United Kingdom)
  • EquBot Inc. (California, United States)
  • CMIC Co., Ltd. (Tokyo, Japan)
  • Databricks (California, United States)
  • VMware, Inc. (California, United States)
  • Dell Technologies (Texas, United States)

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Market Driver:

Increasing Number of Product Innovations will Emerge in Favor of Market Growth

The report encompasses several factors that have contributed to the growth of the overall market in recent years.  Accounting to the increasing applications of the product across diverse industry verticals, there is a healthy market competition. As a result, companies are looking to integrate concepts such as AI and machine learning with the aim of establishing a strong brand presence. In February 2020, Huawei Technologies announced the launch of a new storage solution. The company introduced ‘OceanStor 5G-Era,’ a product that will help enterprises cope with a massive expansion of data especially in the 5G era.  The company claims that this product will be a huge step for those looking to upgrade their data infrastructures and ultimately towards the global digital transformation.

Regional Analysis:

North America to Emerge Dominant; Increasing Adoption of Concepts such as AI and IoT will Emerge in Favor of Market Growth

The report analyzes the ongoing market trends across North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America. Among all regions, the market in North America is expected to hold the largest market share in the coming years. The presence of several large scale space big data vendors in the US will have a positive impact on the growth of the market in the coming years. The increasing adoption of AI and machine learning adoption at an early stage will create several opportunities for market growth. As of 2019, the market in North America was worth USD 18.48 billion and this value is projected to rise at a considerable pace in the coming years. Besides North America, the market in Asia Pacific will rise at a considerable pace driven by the massive internet use and increasing smartphone penetration in several countries across this region.

Industry Developments:

June 2020: – The National Highway Authority of India (NHAI) introduced a unique artificial intelligence (AI) powered and cloud-based big data analytics platform – “Data Lake and Project Management Software”. The aim is to offer fully digitalized platform to improve customer experience.

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Major Table of Contents:

  • Introduction
    • Definition, By Segment
    • Research Methodology/Approach
    • Data Sources
  • Executive Summary
  • Market Dynamics
    • Macro and Micro Economic Indicators
    • Drivers, Restraints, Opportunities and Trends
    • Impact of COVID-19
      • Short-term Impact
      • Long-term Impact
  • Competition Landscape
    • Business Strategies Adopted by Key Players
    • Consolidated SWOT Analysis of Key Players
    • Porter’s Five Force Analysis
    • Global Big Data Technology Key Players Market Share Analysis and Matrix, 2019
  • Key Market Insights and Analysis, By Segments
  • Global Big Data Technology Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
    • By Offering (Value)
      • Solution
      • Services
    • By Deployment (Value)
      • On-Premise
      • Cloud
      • Hybrid
    • By Application (Value)
      • Customer Analytics
      • Operational Analytics
      • Fraud Detection and Compliance
      • Enterprise Data Warehouse Optimization
      • Others (Data Analytics, etc.)
    • By End-Use Industry (Value)
      • BFSI
      • Retail
      • Manufacturing
      • IT and Telecom
      • Government
      • Healthcare
      • Utility
      • Others (Education, etc.)
    • By Region (Value)
      • North America
      • Europe
      • Asia Pacific
      • Middle East & Africa
      • Latin America

Continued….!

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Cloud Based Contact Center Market Size, Share & COVID-19 Impact Analysis, By Component (Solutions and Services), By Deployment (Public, Private, and Hybrid), By Organization Size (Large Organizations, Small and Medium-Sized Organizations), By Vertical (Banking, Financial Services, and Insurance, ITES, IT and Telecom, Government, Healthcare, Consumer Goods and Retail, Travel and Hospitality) and Regional Forecast, 2020-2027

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Artificial Intelligence

aiOla’s Speech AI Technology Outperforms OpenAI’s Whisper in Recognizing Jargon

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aiOla’s model automates the creation of customized processes and workflows for conducting reports and inspections across industries such as manufacturing, supply chain and logistics, pharma, and more
TEL AVIV, Israel, April 18, 2024 /PRNewswire/ — aiOla, an AI-powered technology that automates business workflows by capturing spoken data, has announced a major milestone in speech recognition. aiOla’s solution, powered by a novel keyword spotting model, has advanced to match human proficiency in understanding industry-specific jargon. The patented AdaKWS model achieved 95% accuracy in keyword spotting, surpassing OpenAI’s industry-leading Whisper model which reached 88% accuracy.

Keyword spotting is an essential aspect of speech recognition that tackles the problem of identifying jargon by detecting predefined words and phrases. “Think about a courier delivery where your package arrives damaged. The courier needs to file a report using specific codes and acronyms that describe the situation — those codes and acronyms are keywords. Industry jargon is everywhere and in many fields, it dominates communication, comprising up to half of workers’ speech,” said aiOla’s CEO and co-founder, Amir Haramaty. “The ability to spot keywords enables automation of everyday processes across a wide range of industries, from filing a parcel damage report to completing a safety inspection in a food manufacturing plant, transforming speech into actions.”
aiOla’s process automation applications can accurately understand speech, jargon and acronyms across over 100 languages, regardless of accents and background noises. aiOla achieves this by combining its state-of-the-art keyword spotting model with a speech recognition model. The onboarding process takes mere hours: clients provide examples of their checklists or forms, and aiOla automatically generates custom language models for the use case. Workers are then able to complete their operations verbally using the aiOla app while keeping their eyes and hands on the equipment. aiOla’s exceptional ability to spot rare industry terms with high accuracy allows the platform to easily distinguish between speech related to work processes and everyday conversation.
The app leverages a proprietary model that was developed by aiOla’s team of scientists to recognize a predefined list of keywords within speech. This enables aiOla’s solution to be instantly adapted to the jargon of any industry without needing to retrain its AI model. On a benchmark of keyword and jargon detection that includes 16 languages, Whisper’s largest model yields 88% accuracy compared to aiOla’s model achieving 95% accuracy. Additionally, in a recent benchmark which is composed of hard-to-detect keywords taken from English language audiobooks, the CED model from a team of Apple researchers yields 92.7% whereas aiOla’s AdaKWS reaches 95.1% accuracy.
“Keyword spotting poses significant challenges due to the scarcity of training data, especially across diverse languages and dialects. It typically requires industry-specific fine-tuning to enable models to recognize jargon not commonly found in everyday speech,” said aiOla’s Chief Scientist, Professor Joseph Keshet. “Our model consistently surpassed the OpenAI Whisper baselines by a significant margin, achieving a substantial improvement compared to the top-performing baseline. Furthermore, our model is far more efficient, using 15x fewer parameters.”
To learn more about aiOla’s technology visit: https://aiola.com
Explore aiOla’s keyword spotting research: https://arxiv.org/pdf/2309.08561.pdf
About aiOla:
aiOla’s patented technology comprehends over 100 languages, and discerns jargon, abbreviations and acronyms, demonstrating a low error rate even in noisy environments. aiOla’s technology converts manual processes in critical industries into data-driven, paperless, AI-powered workflows through cutting-edge speech recognition.

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Artificial Intelligence

AMN utilises SpaceX’s Starlink Constellation to Connect Rural Villages in Nigeria

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LONDON, April 18, 2024 /PRNewswire/ — AMN is pleased to announce that the first AMN base station is now live using LEO backhaul from SpaceX’s Starlink. In 2023, AMN announced a commercial agreement to use Starlink, SpaceX’s constellation of satellites in low Earth orbit, to connect AMN’s mobile network base stations with high-speed, low-latency broadband services.

By utilising Starlink terminals to provide low-latency satellite backhaul, we are able to deliver the full capability of AMN’s unique multi-carrier radio access node (the ARN) with 3G and 4G as well as 2G, with ever-increasing amounts of bandwidth and data volumes demanded by subscribers whilst remaining economically sustainable. The LEO backhaul also paves the way for AMN to deliver 5G services, targeted before the end of 2024.
AMN began rolling out rural base stations in Nigeria in 2018, and the company now owns and operates 1600 base stations across the country. Yebu was the first rural community to be connected using AMN’s ubiquitous solar powered base station. The village is located approximately 80km from Abuja, but can take four hours to reach due to road conditions. Yebu is predominantly an agricultural community, with a market offering local farmers the opportunity to sell their goods.
Since connecting the community in November 2018, AMN has processed more than 9 million voice minutes in Yebu, with significant growth in 2022 and 2023 following the BTS upgrade to AMN’s own radio node (ARN). AMN became an OEM for RAN equipment in 2020 following the acquisition of Range Networks, and now operates more than 1200 ARN across Africa and Latin America. The impact of this strategic move is clear in Yebu. In 2023, the site processed almost three times the amount of traffic than it did in 2020.
“Yebu community was left behind and blind but the coming of Africa Mobile Networks in 2018 has made us to achieve a lot of things like police division station, 24 hours solar light and steady communication all over the world. Before then there was nothing like those things listed.” – Salihu, on behalf of the Yebu community
AMN believes that all communities of any significant size should have access to telecommunication services to benefit the population educationally, economically and socially. AMN has deployed over 4000 base stations across Africa and Latin America. Installation of new sites continues throughout 2024 in Nigeria, DRC, Cameroon, Madagascar, Ivory Coast, Benin and Rwanda. At AMN, we appreciate that any solution to close the digital divide must be economically sustainable and offer a service of the same quality as in urban areas. From designing and manufacturing our own BTS, uniquely developed for the solar-powered rural site, to offering cutting-edge backhaul solutions, we are committed to bringing high quality connectivity to those living in rural and ultra-rural areas.
CONTACT: Jennifer Darcy, [email protected], +44 1908 394482
 

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Artificial Intelligence

Self-Sovereign Identity (SSI) Market worth $47.1 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, April 18, 2024 /PRNewswire/ — Self-Sovereign Identity (SSI) has a bright future ahead of it thanks to growing industry adoption, use cases that go beyond identity verification, and integration with cutting-edge technologies. The growth of the ecosystem and its worldwide reach will be fueled by cooperation, legal backing, and user-centric design, which will empower people and communities while guaranteeing security and privacy in digital identity management.

The global Self-Sovereign Identity (SSI) Market size is projected to grow from USD 1.8 billion in 2024 to USD 47.1 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 90.5% during the forecast period, according to a new report by MarketsandMarkets™. The increasing prevalence of identity theft is compelling organizations to adopt self-sovereign identity (SSI) solutions for more robust authentication and identity protection. Concurrently, small and medium-sized enterprises (SMEs) drive SSI growth through innovative technologies and partnerships, offering tailored identity management solutions across sectors.
Browse in-depth TOC on “Self-Sovereign Identity (SSI) Market”
395 – Tables 51 – Figures295 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2020-2029
Base year considered
2023
Forecast period
2024–2029
Forecast units
Value (USD Million/USD Billion) 
Segments Covered
Offering, Identity Type, Network, Organization Size, Vertical, And Region
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America  
Companies covered
Major vendors in the global Self-Sovereign Identity Market include Microsoft (US), Ping Identity (US), IDEX Biometrics (Norway), NEC (Japan), Imageware (US), Dock (Switzerland), Metadium  (Cayman Islands), Blockchain Helix (Germany), Validated ID (Spain), Wipro (India), Persistent (India), Infopulse (Poland), 1Kosmos (US), Accumulate (US), NuID (US), Kaleido (US), Talao (France), Vereign (Switzerland), Midy (US), SelfKey (Mauritius), Truvity (Netherlands), Affinidi (Singapore), Trinsic (US), cheqd (England), Fractal ID (Germany), Soulverse (US), Finema (Thailand), Nuggets (UK), Sentry (US), SpringRole (US), Walt.id (Austria), Procivis (Switzerland), Civic (US), Gataca (Spain),  Polygon Labs (Indonesia), and Voyatek (US).   
Initiatives like Alliance Block’s Nexerald platform showcase SMEs’ pivotal role in advancing SSI adoption, ensuring compliance and seamless onboarding to Web3 environments. This collaborative effort reshapes identity management, emphasizing user empowerment and data security in the digital landscape.
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Based on the organization’s size, SMEs will grow at the highest CAGR during the forecast period.
The exponential growth of SMEs in the SSI market can be attributed to the increasing recognition of blockchain technology’s potential to revolutionize operational efficiencies. Despite persistent challenges such as technology constraints and infrastructure shortages, SMEs actively invest in R&D to explore SSI’s benefits. It includes streamlining non-financial transactions, securing patient health records, and facilitating distributed source code management. Moreover, governments incentivizing decentralized identity solutions further drive SMEs to embrace SSI as a pivotal milestone in their digitalization journey. This proactive approach reflects SMEs’ agility and willingness to leverage transformative technologies despite ongoing experimentation, positioning them as the fastest-growing segment in the SSI market.
By identity type, biometrics accounts for the highest market size during the forecast period.
The biometrics identity type holds the largest market share in the SSI market due to its unmatched level of security and convenience compared to traditional authentication methods. Biometric authentication, like fingerprint and facial recognition, provides a robust security layer, particularly crucial for high-security applications such as financial transactions and access control. Biometrics also offers a more user-friendly experience by eliminating the need for complex passwords or security questions. Moreover, biometric data is unique to each individual, significantly reducing the risk of identity theft and fraud compared to stolen credentials. As standards for biometric data storage and formats evolve, interoperability between different SSI ecosystems improves, allowing users to leverage their biometrics across various platforms seamlessly.
By region, Asia Pacific will grow at the highest CAGR during the forecast period.
The Asia Pacific region is growing fastest in the SSI market due to the convergence of several key factors, such as rapid technological advancements and robust digital transformation initiatives. These developments create a favorable environment for adopting self-sovereign identity (SSI) solutions, which are increasingly essential for secure and seamless digital interactions. Additionally, the region’s sizeable unbanked population presents a significant opportunity for SSI adoption, as it addresses identity challenges and provides a secure, inclusive means of accessing services. As exemplified by India’s Aadhaar system, supportive government policies and initiatives play a pivotal role in promoting digital identity technologies like SSI. Moreover, escalating cybersecurity concerns across industries push businesses and governments to seek decentralized and secure identity management solutions, further driving the adoption of SSI in the Asia Pacific region. This unique convergence of factors positions the area as a leader in SSI market growth, with vast potential for continued expansion and innovation.
Top Key Companies in Self-Sovereign Identity (SSI) Market:
Microsoft (US), Ping Identity (US), IDEX Biometrics (Norway), NEC (Japan), Imageware (US), Dock (Switzerland), Metadium  (Cayman Islands), Blockchain Helix (Germany), Validated ID (Spain), Wipro (India), Persistent (India), Infopulse (Poland), 1Kosmos (US), Accumulate (US), NuID (US), Kaleido (US), Talao (France), Vereign (Switzerland), Midy (US), SelfKey (Mauritius), Truvity (Netherlands), Affinidi (Singapore), Trinsic (US), cheqd (England), Fractal ID (Germany), Soulverse (US), Finema (Thailand), Nuggets (UK), Sentry (US), SpringRole (US), Walt.id (Austria), Procivis (Switzerland), Civic (US), Gataca (Spain),  Polygon Labs (Indonesia), and Voyatek (US) are the key players and other players in the Self-Sovereign Identity Market.
Recent Developments
In November 2023, Ping Identity partnered with ConnectID to simplify integration into existing systems and onboard new customers. The partnership aims to provide a cohesive solution for customers of all sizes, enhancing digital customer experiences and enabling secure online identity verification without unnecessary data sharing.In February 2023, Wipro Lab45, the innovation arm of Wipro, introduced DICE ID, a Decentralized Identity and Credential Exchange solution. Built on blockchain, it empowers users with control over personal data, facilitating secure sharing online through self-verifiable digital credentials.In October 2022, IDEX Biometrics and TrustSEC, a leading European provider of digital authentication solutions, partnered to bring biometric intelligent card solutions to the cybersecurity market. The partnership combines TrustSEC’s smart card module with IDEX Biometrics’ TrustedBio fingerprint sensor solution, targeting secure access for digital and cryptocurrency wallets and physical and logical access management.In May 2022, Microsoft introduced Microsoft Entra, a product family consisting of identity and access management solutions. It included Azure AD and introduced two new categories: Cloud Infrastructure Entitlement Management (CIEM) and Decentralized Identity. Entra was intended to safeguard user access to apps and resources, enabling security teams to manage permissions in multi-cloud environments and ensure end-to-end digital identity security.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=73711961
Self-Sovereign Identity (SSI) Market Advantages:
With SSI, people have complete sovereignty over their digital identities. They can handle and distribute personal data as they see fit, independent of centralised authority or middlemen.In order to lower the danger of identity theft, data breaches, and unauthorised access to sensitive information, SSI prioritises privacy by sharing as little personal information as possible throughout identity verification procedures.Regardless of the vendor or technological stack, SSI solutions facilitate easy integration with current identity systems, apps, and platforms by leveraging open standards and protocols.To guarantee the validity and integrity of digital identities, SSI uses cryptographic techniques like verified credentials and decentralised identifiers (DIDs). This improves security and confidence in online interactions and transactions.By doing away with the requirement for paper-based documentation and recurring identity checks, SSI expedites identity verification procedures while cutting down on the administrative work, expenses, and wait times associated with conventional identity management systems.Without geographical limitations or reliance on centralised authority, SSI solutions allow people to access and manage their digital identities from any location in the globe. This facilitates safe and easy identity verification across borders and jurisdictions.By giving them self-sovereign identities that can be validated and recognised in digital settings, SSI empowers marginalised groups including refugees, migrants, and people without formal identification credentials. This allows them to access opportunities and crucial services.SSI fosters trusted relationships between individuals, organizations, and service providers by enabling verifiable and tamper-proof digital credentials, enhancing trust, transparency, and accountability in digital interactions and transactions.Report Objectives
To define, describe, and forecast the Self-Sovereign Identity Market based on – offering, identity type, network, organization size, vertical, and region.To define, describe, and forecast the Self-Sovereign Identity Market by – offering, identity type, network, organization size, vertical, and region.To forecast the market size of five main regions: North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and Latin AmericaTo analyze the subsegments of the market concerning individual growth trends, prospects, and contributions to the overall market.To provide detailed information on the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the Self-Sovereign Identity Market.To analyze opportunities in the market for stakeholders by identifying high-growth segments of the Self-Sovereign Identity Market.To profile the key players of the Self-Sovereign Identity Market and comprehensively analyze their market size and core competencies.Track and analyze competitive developments, such as new product launches, mergers and acquisitions, partnerships, agreements, and collaborations in the global Self-Sovereign Identity Market.Browse Adjacent Market: Information Security Market Research Reports & Consulting
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