Dark data is all of an organization's untapped and unknown data generated by users' daily online interactions with numerous devices and systems wherein everything from machine data to server log files to unstructured data is gathered from social media. This data may be too old to be useful, incomplete or redundant, or restricted by a format that can't be accessible with current tools. They are frequently unaware that it exists. Data is becoming a more important organizational asset and competitive businesses are requiring it to maximize its potential. Additionally, more tighter data requirements may necessitate total data management inside a business. At first sight, acquiring dark data can appear burdensome for many firms, with no internal importance, resource or clear understanding. Over the years, businesses are understanding the clear benefit of capturing their Dark Data and how it will transform the way they do business for this to change. Moreover, enterprises machine data, for example, is growing at a considerably faster rate than traditional organizational data, and it contains information that is becoming increasingly important for strategic corporate decision-making. In the upcoming years, dark data analytics will almost certainly be powered by AI, as AI has the ability to handle massive amounts of different data at a high rate. Furthermore, AI has the ability to provide deep, nuanced, and more accurate business insights using large amounts of data, including dark data. Thus, by incorporating advanced technologies the global dark analytics market is expected to upsurge in the upcoming years.
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Global Dark Analytics Market Share in 2021, By Region
The public function of data has never been more evident than in the COVID-19 outbreak during 2021. Policies, strategies, and planning have all had to be based on counts of infections and fatalities, understanding how the disease developed, and anticipating what would happen under various treatments, all while balancing health consequences against economic, educational, and societal consequences. Leading players in the market are providing data sets and providing analytics to public service bodies to track the spread of Covid-19. Thus, during the pandemic global dark analytics market had experienced a huge growth.
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Key Findings of the Report:
- The global dark analytics market was valued at US$ 789.3 Mn in 2021 growing at a CAGR of 25.8% over the forecast period (2022 – 2030).
- Predictive analytics, a technique that has been around for decades, has received a lot of attention in the recent years, and rightfully so. Predictive analytics usage is increasing for a variety of reasons, including a better awareness of the technology's usefulness, the availability of processing capacity and the growing toolkit needed to make it happen. Predictive analytical solution for studying dark data is proving to be quite useful. Businesses around the globe are using predictive dark analysis to forecast the possible happenings through the study of unstructured data for better business operations and their results. Predictive analytics involves more than just forecasting. These technologies can analyze a large amount of structured (transactional data, for example) and unstructured (social postings, image) data in real time. With IoT and the cloud, applications have the ability to move closer to dark data for real-time edge processing. Thus, predictive analytics has been shown to promote collaboration and decision-making amongst business units, which is contributing to the growth of global dark analytics market.
- Cloud based dark analytics is gaining huge popularity as in the last few years as cloud analytics centralizes around delivering actionable insight configuration for business intelligence and collaborative planning. Companies are increasingly adopting SaaS for modern analytics. On the other hand, cloud analytics reduces the risk that comes with making upfront hardware investments for on-premise servers and allows to take snapshots of analytics, add commentary for improved context, and tag in the discussions which creates a collaborative canvas for both real-time and asynchronous decision making. Thus, with the array of advantages of cloud computing this segment is gaining incredible growth in the global dark analytics market.
- Healthcare sector is heavily investing into technologies and analytics to find solution to long faced data From Big Data to HL7 compliance to infrastructure adaptation in the middle of a quick shift to telehealth. In healthcare, dark data includes PDFs, diagnostic images, clinical trial records, case notes, and other documents that contain a team's most significant insights but are difficult to recognize and extract information from. While these developments have increased information exchange across the industry and, as a result, the patient experience, they have also resulted in mountains of data. Healthcare IT specialists may bring a lot of value to a company, especially in industries like healthcare, where data-driven decision making is crucial for everything from product safety to public health to the patient experience. While the opportunities for leveraging dark data with the help of deep learning are ultimately endless, the global dark analytics market is expected to propel at an increasing rate.
- Asia Pacific region is anticipated to be the fastest growing region in the dark analytics market for the forecast period 2022-2030. In the last few years, various industries such as telecommunications, banking and insurance, healthcare have rapidly grown in the countries like India, Japan, China and others. These businesses are investing into advanced technologies such as artificial intelligence, IoT and others for dark analytics so that the companies can join structured and unstructured data sets together to provide high-value results. In the forthcoming years companies are looking forward to invest in technologies to harness distributed data architecture, in-memory processing, machine learning, visualization to answer questions and identify valuable patterns and insights that have unimaginable insights for businesses. Thus, in the upcoming years the global dark analytics market is expected to rise at a tremendous rate.
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Key Players – Global Dark Analytics Market:
- Amazon Web Services, Inc.
- Datameer, Inc.
- Dell Inc.
- Deloitte Touche Tohmatsu Limited
- FORMCEPT Technologies and Solutions Pvt. Ltd.
- Indium Software
- Micro Focus
- QUANTTA ANALYTICS
- SAP SE
- Splunk Inc.
- TIBCO Software Inc
- Zoho Corporation Pvt. Ltd
- Other Industry Participants
Global Dark Analytics Market:
- Consulting Services
- Support & Maintenance Services
By Analytics Type
By Deployment Mode
By End User
- IT and Telecommunications
- Retail & E-commerce
- Travel and Hospitality
- Non- Profits
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- North America (U.S., Canada, Mexico, Rest of North America)
- Europe (France, The UK, Spain, Germany, Italy, Nordic Countries (Denmark, Finland, Iceland, Sweden, Norway), Benelux Union (Belgium, The Netherlands, Luxembourg), Rest of Europe
- Asia Pacific (China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia (Indonesia, Thailand, Malaysia, Singapore, Rest of Southeast Asia), Rest of Asia Pacific
- Middle East & Africa (Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest of Middle East & Africa)
- Latin America (Brazil, Argentina, Rest of Latin America)
Global Data-Driven Healthcare Market -
Global Edge Computing Market -
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