[Rapporto di ricerca] Si prevede che il mercato del data fabric raggiungerà i 2.466,12 milioni di dollari entro il 2028 rispetto ai 1.241,04 milioni di dollari del 2021; si stima registrerà un CAGR del 10,3% nel corso del 2021-2028.
Crescente utilizzo di Internet e aumento di numerosi dispositivi connessi, come smartphone, laptop, tablet e computer , aumentare direttamente la quantità e la varietà dei dati aziendali. Ad esempio, telecamere e sensori vengono utilizzati per scopi di monitoraggio e raccolgono continuamente dati sulla posizione. La crescente necessità di approfondimenti significativi dai dati raccolti alimenta l’adozione dell’analisi dei dati tra le aziende. Per scopi di analisi, i dati vengono estratti dal data fabric.
Inoltre, durante l'analisi, il data fabric integra dati provenienti da set di dati strutturati, semi-strutturati e non strutturati. La varietà dei dati aziendali e la quantità dei set di dati aumentano ogni giorno a causa dell’evoluzione della digitalizzazione in diverse organizzazioni aziendali. Ad esempio, secondo i dati dell’ottavo anno di Domo, i consumatori spendono 1 milione di dollari online, effettuando 1,4 milioni di chiamate video e vocali, condividendo 150.000 messaggi su Facebook e trasmettendo in streaming 404.000 ore di video su Netflix. Pertanto, i dati collettivi da gestire sono in grande quantità. Pertanto, la struttura dei dati viene utilizzata per la gestione dei dati. Il data fabric aiuta a integrare dati provenienti da varie fonti, archiviare grandi quantità di dati e analizzarli senza problemi in un unico posto. Pertanto, la domanda di data fabric è in crescita per la raccolta di informazioni aziendali.
Approfondimenti strategici
Impatto della pandemia di COVID-19 sul mercato del data fabric
La pandemia di COVID-19 ha colpito la maggior parte delle attività a livello globale. La continua crescita del numero di pazienti infetti da virus ha costretto i governi a porre dei limiti al trasporto di persone e merci. L’imposizione del blocco ha comportato una minore produzione di materie prime, beni e servizi. Settore manifatturiero, automobilistico, dei semiconduttori e dei semiconduttori elettronica, petrolio e; i settori del gas, minerario, aeronautico e altri settori hanno assistito a un calo delle loro attività a causa della chiusura temporanea delle attività.
La pandemia di COVID-19 ha costretto le aziende a trovare soluzioni nuove alternative per una ripresa rapida e attenzione all’urgente necessità di accedere a dati sufficienti in tempi di crisi. Inoltre, le banche sono passate a team di vendita e assistenza remoti e hanno lanciato un approccio digitale ai clienti per stipulare accordi di pagamento flessibili per prestiti e mutui. I negozi di alimentari sono passati all’ordinazione e alla consegna online come attività principale. Le scuole in molti luoghi hanno adottato l’apprendimento online e le aule digitali. Questi approcci hanno comportato un aumento della quantità e della varietà dei dati aziendali. Pertanto, la crescente necessità di agilità aziendale e accessibilità ai dati e la crescente domanda di analisi di streaming in tempo reale sono tra i fattori che contribuiscono alla crescita del mercato del data fabric.
Lucrativo Regioni per il mercato del Data Fabric
Approfondimenti sul mercato del Data Fabric
Crescente domanda di analisi in tempo reale
Negli ultimi anni, l'analisi dei big data è diventata uno dei principali interessi di ricerca tra professionisti e ricercatori. Gli investimenti privati e pubblici nell’applicazione dell’analisi dei big data sono aumentati fino a milioni di dollari in tutto il mondo. Una rapida crescita del volume e della complessità dei dati dovuta al crescente traffico di dati mobili e del cloud computing e al crescente sviluppo e adozione di tecnologie, come l’intelligenza artificiale (AI) e l’Internet delle cose (IoT), spingono la domanda di big data tecnologie di analisi. Queste tecnologie hanno un enorme potenziale per trasformare completamente il business. Le piattaforme di big data analizzano efficacemente gli enormi set di dati strutturati e non strutturati. Il settore BFSI è uno dei settori più grandi che spende cifre significative in tecnologie di big data e analisi. Le potenziali regioni, come il Nord America e l’Europa, sono molto attive nell’implementazione di queste tecnologie. Inoltre, i governi di queste regioni stanno realizzando vari progetti per implementare i big data in vari settori. Ad esempio, il progetto Big Data Europe del 2015-2017 ha ricevuto finanziamenti dal programma di ricerca e innovazione Orizzonte 2020 dell'Unione europea. Il progetto ha progettato prototipi di applicazioni Big Data in diversi settori che possono offrire un numero enorme di set di dati e possono progredire verso approcci di soluzioni basate sui dati. Pertanto, i dati vengono raccolti da un data fabric per scopi di analisi in tempo reale.
La tecnologia di analisi dei big data è uno dei fattori trainanti significativi nel mercato del data fabric, che aiuta a ottenere informazioni utili dall'enorme quantità di dati strutturati disponibili in dati non strutturati provenienti da varie fonti, come il web e i social media. Le informazioni acquisite dall'analisi dei big data aiutano le aziende a migliorare numerose aree come la fidelizzazione dei clienti, la scoperta di nuovi mercati, l'ottimizzazione del servizio clienti, la fidelizzazione dei dipendenti e una migliore fidelizzazione dei clienti. Pertanto, la crescente domanda di analisi in tempo reale contribuisce alla crescita del mercato del data fabric.
Approfondimenti di mercato basati sulla distribuzione
Basati sulla distribuzione, il mercato del data fabric è biforcato in cloud e on-premise. Nel 2020, il segmento cloud ha guidato il mercato e ha rappresentato una quota di mercato maggiore.
Mercato dei data fabric, per distribuzione, 2020 e 2028 (%)
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Approfondimenti sul mercato basati sui componenti
In base ai componenti, il mercato del data fabric è biforcato in software e servizi. Nel 2020, il segmento software rappresentava una quota di mercato maggiore.
Approfondimenti di mercato basati su soluzioni
In base alla soluzione, il mercato del data fabric è segmentato in rilevamento dei dati, immissione di dati, orchestrazione dei dati, accesso ai dati del fabric, gestione dei dati e gestione del fabric. Nel 2020, il segmento della gestione dei dati rappresentava una quota di mercato maggiore.
Approfondimenti di mercato basati sull'utente finale
In base all'utente finale, i dati il mercato dei tessuti è segmentato in BFSI, IT & telecomunicazioni, vendita al dettaglio, sanità e prodotti farmaceutici e altri. Nel 2020, il segmento BFSI ha guidato il mercato del data fabric e ha rappresentato la quota di mercato maggiore.
Gli attori che operano nel mercato del data fabric adottano strategie come fusioni, acquisizioni e iniziative di mercato per mantenere le loro posizioni sul mercato. Di seguito sono elencati alcuni sviluppi dei principali attori:
- Nel marzo 2021, Denodo Technologies Inc., leader del settore nella virtualizzazione dei dati, ha presentato Denodo Standard, una nuova soluzione di integrazione dei dati accessibile sui principali mercati cloud . L'attuale motore di virtualizzazione dei dati di Denodo viene utilizzato nella nuova soluzione per consentire maggiori prestazioni e produttività, consentendo analisi e servizi dati in tempo reale senza la necessità di replicare i dati in un altro repository.
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- Nel settembre 2020, Denodo Technologies Inc. ha rilasciato una nuova versione del software della sua piattaforma Denodo. L'ultima versione 8.0 ha lo scopo di migliorare le prestazioni accelerando l'integrazione ibrida/multicloud e automatizzando la gestione dei dati utilizzando l'intelligenza artificiale (AI) e l'apprendimento automatico (ML) con accelerazione intelligente delle query. La piattaforma supporta la virtualizzazione dei dati in un data fabric logico fornendo suggerimenti intelligenti, prestazioni elevate e supporto Platform-as-a-Service (PaaS).
Per distribuzione
- Cloud
- On-premise
- Software
- Servizi
- Rilevamento dei dati
- Inserimento dei dati
- Orchestrazione dei dati
- Accesso ai dati del tessuto
- Gestione dei dati
- Gestione del tessuto
Per componente
Per soluzione
< ul>Per utente finale
- BFSI
- IT & Telecomunicazioni
- Retail
- Sanità e servizi Prodotti farmaceutici
- Altri
Per area geografica
- Nord America
- Stati Uniti
- Canada< /li>
- Messico
- Europa
- Francia
- Germania
- Italia
- Regno Unito
- Russia
- Resto d'Europa
- Asia Pacifico (APAC)
- Cina< /li>
- India
- Corea del Sud
- Giappone
- Australia
- Resto dell'APAC
- Medio Oriente e Medio Oriente Africa (MEA)
- Sudafrica
- Arabia Saudita
- EAU
- Resto del MEA
- America del Sud (SAM)
- Brasile
- Argentina
- Resto della SAM
Profili aziendali
- Denodo Technologies
- IBM Corporation
- Informatica Corporation
- K2View
- NetApp, Inc.
- Oracle Corporation
- SAP SE
- Software AG
- Teradata
- Hewlett Packard Enterprise Development LP (HPE)
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
Rising Quantity and Variety of Business Data
Growing Demand for Real-Time Analytics
With the growing population, the number of internet users is increasing. For instance, it has been observed that there are 4.66 Million internet users present globally (59% of the global population). From this total, 92.6% (4.32 Million) users accessed internet through mobile devices. A few countries with the highest internet penetration rate globally are Denmark, the UAE, and Sweden. Further, till 2020, APAC had the largest number of online users with over 2.5 Million and Europe was ranked second with almost 728 million internet users. In 2020, China held the leading market share in the world, followed by India and the US. China has more than 854 million internet users and India has around 560 million online users. Still there are a few MEA countries, such as Oman, Qatar, and Kuwait, where the digitalization and internet are in initial phase. The continuous growth in the internet users also let the industries to transform their business to the digital platform. Also, the need for cloud technology has positively impacted the businesses because of the storage and data transfer facilities and cost-effectiveness.
Based on the deployment type, the data fabric market is segmented into cloud and on-premise. The global data fabric market is dominated by cloud segment in 2020, which accounted for 69.1%.
With the digital transformation, the use of the cloud-based platform is increasing due to the simplification of the deployment time and the reduction in the deployment cost. Further, the internet infrastructure has matured in developed countries and is flourishing in several developing countries across the world, which allows Components in these countries access to the cloud-based platform. The adoption of data fabric across several applications is associated with the varying end user requirements. However, technological advancements also play a vital role in enhancing the adoption trend by companies and customers. For instance, many financial institutions use financial analytics to gain insights, ensure optimal performance, and make crucial decisions. Financial analytics helps the banking sector enhance the customer experience and assists in risk management.
A few key companies operating in the data fabric market are Denodo Technologies; IBM Corporation; Informatica Corporation; K2View; NetApp, Inc.; Oracle Corporation; SAP SE; Software AG; Teradata; and Hewlett Packard Enterprise Development LP (HPE). Several other companies are also functioning in the market and are contributing substantial revenues toward the market's growth.
North America held the significant market share in year 2020, along with the notable revenue generation opportunities in Europe and APAC.
The List of Companies - Data Fabric Market
- Denodo Technologies Inc
- Hewlett Packard Enterprise Company
- IBM Corp.
- Informatica Corporation
- K2VIEW
- NetApp, Inc.
- Oracle Corporation
- SAP SE
- Software AG
- Teradata Corporation
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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