Dark Analytics Market Worth US$ 3,356.7 Million by 2032 at a CAGR of 21.2% | FMI

The estimated value of the global dark analytics market in 2022 is US$ 491.9 million. From 2022 to 2032, it is projected to grow at a CAGR of 21.2%, reaching US$ 3,356.7 million. The high level of development in the information generated by IoT is attributed to development.

Analyzing secret information found in projects is known as “dark analytics.” Dark information is typically referred to as raw data or information that has been covered in text, tables, or calculations that associations get in various business processes and retain regardless, is not utilized to determine knowledge cubes, and is not dynamic in business.

Nowadays, associations recognize that there is a huge risk involved in failing to analyze and handle this information, which includes losing the initiative in business and administrative matters. Dark analytics is a continuing education in projects that increase the decomposition of PC network duties and example recognition.

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Dark analytics solution incorporates a system that allows users to develop end-to-end data pipelines to tackle extraction, integration, and prediction of data by machine learning techniques. Valuable insights from this data are gained by solving statistical inference problems at a massive scale. Dark analytics assist in recognizing better-unused opportunities mainly in sales and marketing processes by analyzing customer behavior insights.

Dark Analytics Market: Drivers and Restraints

Extracting insights for decision-making by immediate analysis of real-time information from key business processes such as sales, production, and distribution trends is the major factor driving the growth of the dark analytics market.

Moreover, factors such as gaining insights from and making the most of every data point, efficiency in terms of time, money, and resources in processing unstructured data, and aid to minimize the accumulation of dark data by transforming it into valuable real-time information are also some key factors resulting in the growth of dark analytics market.

However, security concerns and risks associated with data, and data storage costs are some factors restraining the growth of the dark analytics market.

Dark Analytics Market: Segmentation

The dark analytics market can be segmented on the basis of analytics type, dark data type, end-user, and region-wise. On the basis of analytics type of market can be further segmented into predictive, prescriptive, diagnostic, and descriptive. On the basis of dark data type, it can be categorized into business, customer, and operational dark data.

In the end-user type, the dark analytics market is categorized into BSFI, Government, Retail and E-commerce, Travel and hospitality, and others. Region-wise global dark analytics market can be segmented into North America, Europe, Asia-Pacific, Middle East and Africa, and Latin America.

Dark Analytics Market: Regional Overview

North America is the biggest market for dark analytics market followed by Europe to ensure compliance of business processes and legal issues. Asia Pacific region is expected to show significant growth in the dark analytics market due to emerging start-ups and a rise in the adoption of analytics in enterprises. Latin America and Middle East regions are showing considerable growth in this market owing to the adoption of data-driven strategies in business processes.

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Dark Analytics Market: Key Players

IBM Corporation, Deloitte, SAP SE, Teradata, Hewlett-Packard, EMC Corporation, VMware, Inc., and Microsoft Corporation, are some of the key players in the dark analytics market.

Market Competition

Some of the key participants present in the global Dark Analytics market include IBM Corporation, Deloitte, SAP SE, Teradata, Hewlett-Packard, EMC Corporation, VMware, Inc., and Microsoft Corporation, among others.

Attributed to the presence of such a high number of participants, the market is highly competitive. While global players such as IBM Corporation, Deloitte, SAP SE, Teradata, and Hewlett-Packard account for a considerable market size, several regional-level players are also operating across key growth regions, particularly in North America.

Recent Developments

  • In February 2021, Google acquired Halli Labs, a four-month-old Bengaluru-based start-up that develops artificial intelligence and machine learning options.
  • In June 2020, Apple acquired Lattice Data, a company that uses an AI-enabled interface to discover and generate unstructured data into structured data.

Regional analysis for Dark Analytics Market includes

North America Dark Analytics Market

  • US
  • Canada

Latin America Dark Analytics Market

  • Argentina
  • Mexico
  • Brazil
  • Rest of Latin America

Western Europe Multi-tenant Data Centers Market

  • Germany
  • France
  • U.K.
  • Spain
  • Italy
  • Nordic
  • Benelux
  • Rest of Western Europe

Eastern Europe Dark Analytics Market

  • Poland
  • Russia

Asia Pacific Dark Analytics Market

  • Australia and New Zealand (A&NZ)
  • China
  • India
  • ASEAN
  • Rest of Asia Pacific

Japan Dark Analytics Market

Middle-East and Africa Dark Analytics Market

  • GCC Countries
  • North Africa
  • South Africa
  • Rest of MEA

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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