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Dark Analytics Market Share

ID: MRFR//6526-HCR | 111 Pages | Author: Aarti Dhapte| November 2024

The Dark Analytics market, a niche segment within the broader analytics industry, is influenced by several market factors that shape its growth and evolution. One pivotal factor is the escalating volume of unstructured data generated by organizations across various sectors. As businesses continue to amass vast amounts of data from diverse sources such as social media, emails, and multimedia, the demand for dark analytics solutions rises. These tools specialize in extracting insights from unstructured data, enabling companies to glean valuable information that might otherwise remain untapped.

Additionally, the increasing emphasis on data privacy and security contributes significantly to the dynamics of the Dark Analytics market. With stricter regulations and a growing awareness of the importance of safeguarding sensitive information, businesses are compelled to adopt advanced analytics solutions that can operate effectively without compromising data integrity. Dark analytics, with its focus on uncovering insights from obscured and often overlooked data sources, aligns well with the imperative of maintaining robust data protection protocols.

The evolving landscape of cyber threats and the escalating sophistication of malicious activities also play a crucial role in driving the Dark Analytics market. As organizations face a constant barrage of cyberattacks, there is a heightened need for advanced analytics tools that can swiftly detect and mitigate security breaches. Dark analytics, with its ability to analyze hidden patterns and anomalies within data, serves as a proactive defense mechanism, helping businesses stay one step ahead of potential cyber threats.

Furthermore, the advent of artificial intelligence (AI) and machine learning (ML) technologies significantly impacts the Dark Analytics market. The integration of these advanced technologies enhances the capabilities of dark analytics solutions by enabling them to autonomously analyze and interpret vast datasets. This not only accelerates the insights generation process but also enhances the accuracy and relevance of the extracted information.

Market competition and the emergence of innovative startups also contribute to the dynamics of the Dark Analytics market. As businesses seek to gain a competitive edge through data-driven decision-making, the demand for cutting-edge dark analytics solutions intensifies. This has led to increased competition among vendors, fostering innovation and the development of more sophisticated and specialized tools within the dark analytics ecosystem.

Moreover, the global shift towards remote work in recent years has further fueled the demand for dark analytics solutions. With dispersed workforces and a reliance on digital communication platforms, organizations face the challenge of extracting meaningful insights from the vast pool of remote collaboration data. Dark analytics proves instrumental in deciphering patterns and trends within this data, offering valuable insights into employee productivity, collaboration dynamics, and overall organizational performance.

Dark Analytics Market Synopsis


The Dark Analytics Market is expected to grow from USD 238.98 Million in 2018 to USD 3.45 Billion by 2030, at a compound annual growth rate (CAGR) of 26.40% during 2022-2030. Dark analytics refers to the analysis of information assets which are gathered, processed, and stored by an organization during its regular business activities. Advancement in technologies such as computer vision, pattern recognition, and cognitive analytics help organizations to focus on the unstructured information for better decision making to offer enhanced user experience.


Rising adoption of IoT across various industry verticals is driving the growth of dark analytics market. A study by Cisco estimates that by the end of 2030, there will be approximately 500 billion devices in the connected ecosystem. As this IoT ecosystem expands, the volume of data generated is also expected to increase, majority of which would be dark data comprising of structured as well as unstructured data. Dark analytics solutions are capable of analyzing such massive volumes of unorganized and untapped data and helping the organizations to obtain actionable business insights for better decision making. Furthermore, increasing adoption of advanced technologies such as artificial intelligence and machine learning to analyze the data is encouraging the adoption of dark data solutions by organizations to increase their ROI. However, non-uniformity of the gathered data, lack of skilled expertise, and data to use dark analytics solutions are the factors hampering the market growth.


Dark Analytics Market Overview


Source: Secondary Research, Primary Research, MRFR Database and Analyst Review


Dark Analytics Market Segmentation
 

The global dark analytics market has been broadly segmented on the basis component, deployment, application, industry vertical, and region.

  • By component, the market has been segmented into solutions and services.

  • By deployment, the market has been segmented into on-cloud and on-premise.

  • By application, the market has been segmented into operations, finance, human resource, and marketing.

  • By industry vertical, the market has been segmented into IT and telecommunication, BFSI, retail and e-commerce, government, healthcare, media and entertainment, and others.

  • By region, the market has been segmented into North America, Europe, Asia-Pacific, the Middle East and Africa, and South America.


Dark Analytics Market Key Players


The prominent players active in the market of dark analytics are 



  • Amazon Web Services, Inc. (US)

  • Microsoft Corporation (US)

  • SAP SE (Germany)

  • IBM Corporation (US)

  • Symantec Corporation (US)

  • Teradata (US)

  • Datameer, Inc. (US)

  • Micro Focus (UK)

  • SAS Institute Inc. (US)

  • Dell Inc. (US)

  • Zoho Corporation (US)

  • AvePoint, Inc. (US)

  • Commvault (US)

  • Zoomdata (US)

  • Veritas (US)

  • Deloitte (US)

  • Synerscope (The Netherlands)

  • TIBCO Software Inc. (US)

  • Datumize (Spain)


Dark Analytics Market Industry Developments


July 2023 - IBM Company collaborated with the National Association of Boards of Pharmacy (NABP) to bring visibility to the drug supply chain and assist patients from counterfeit or substandard prescription medications.


May 2023 - Deloitte purchased all assets of Optimal Design Co. Deloitte's leading-edge capabilities, coupled with Optimal Design’s PES multidisciplinary talent, are expected to help customers unlock innovation and achieve their digital transformation goals.


Examples include, In Aug 2022, SAP continued to see strong adoption of its RISE with SAP solution by North American companies as recorded by sizes regardless of them having opted for it in the second quarter of the year 2022 for enabling cloud transformations.


In July 2022, IBM announced that it was acquiring Databand.ai – a top-rated provider of observability software for data that enables organizations to address any issues concerning data like bugs, pipe failures and poor quality before they hit on profits. It also strengthens IBM’s software portfolio across data, AI, and automation, thus addressing the full range of observability while ensuring reliable information is shared among businesses for decision-making.


In July 2022, Dataiku partnered with Deloitte US Data and AI Alliance Ecosystem, which will enable firms to build reusable AI projects at enterprise scale. The combined force will facilitate the provision of AI solutions to thousands of users across enterprises, make ML pipelines more effective, implement risk management systems and improve quality control measures.


In June 2022 Microsoft announced its intentions to acquire Miburo cyber threat analysis company. This cybersecurity company is known for its expertise in detecting foreign information operations.


In February 2021, Google acquired Halli Labs, which is a Bengaluru-based start-up founded just four months ago specializing in artificial intelligence (AI) and machine learning(Ml).


For example, In July 2021Tokio Marine Group, an insurer based in Japan, fell victim to a ransomware attack that affected its Singapore unit. In addition, the insurer confirmed that the ransomware attack had affected only its Singapore subsidiary and it has not damaged or impacted other group companies. The victim company has made some efforts to secure the information of its customers so far and will further try to protect customer data and confidential information.


In June 2020, Apple acquired Lattice Data – a firm that translates unstructured data into structured one through an AI-driven interface.


Dark Analytics Market Regional Analysis


The dark analytics market is estimated to grow at a significant rate during the forecast period from 2019 to 2024. The geographical analysis of dark analytics market has been done for North America, Europe, Asia-Pacific, the Middle East and Africa, and South America.


North America is expected to dominate the dark analytics market during the forecast period. The region is recognized as a leader in technological invention and an early adopter of technology. Organizations across the region are promptly adopting dark analytics solutions to analyze the huge volumes of data generated by utilizing advanced technologies such as IoT and big data. The region is also a hub to the major dark analytics solutions providers who are investing heavily in research and development activities to provide advanced features to their solutions and enhancing their capabilities. The region has been segmented, by country, into the US, Canada, and Mexico.


Europe is following North America in the global dark analytics market in terms of market share. As the European government is focusing on compliance and legal issues concerning data security, the adoption of dark analytics solution is growing in the region.


Asia-Pacific is expected to grow at a significant pace during the forecast period. The region has been segmented by country into China, Japan, India, South Korea, Australia, and the rest of Asia-Pacific. Increasing digitalization and adoption of cloud-based services in these countries has increased the demand for dark data analytics solutions to analyze massive data sets. The rising need among enterprises to understand and utilize nontraditional and unstructured data to enhance the customer experience by personalizing the services offered is positively impacting the market growth in the region.


Intended Audience:



  • Data Scientists

  • Software Developers

  • Organizations, Firms, Enterprises

  • Government Bodies and Departments

  • Management Universities

  • Independent Software Vendors

  • Service Providers

  • Channel Partners

  • Third-Party providers

  • Market Research and Consulting Firms

  • Dark Analytics Platform Providers


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