Dark Analytics Market

Rising Data Security Concerns and Development in Financial Sector are projected generate Demand for Dark Analytics

Dark Analytics Market by Analytics Type, Dark Data Type, End User & Region - Forecast 2022 - 2032

Dark Analytics Market Snapshot (2022-2032)

[309 Pages Report] The global dark analytics market is anticipated to be valued at US$ 491.9 Million in 2022. The increasing concentration of companies towards data security is further compelling the companies to analyse dark data to plan their information security strategy. Overall, demand for dark analytics is projected to grow at a CAGR of 21.2% between 2022 and 2032, totaling around 3,356.7 Million by 2032.

Data Points	Key Statistics
Growth Rate (2016-2021)	19.3% CAGR
Expected Market Value (2022)	US$ 491.9 Million
Anticipated Forecast Value (2032)	US$ 3,356.7 Million
Projected Growth Rate (2022-2032)	21.2% CAGR

Dark analytics is the analysis of dark data present in enterprises. Dark data is generally referred to as raw data or information buried in the text, tables, and figures that organizations acquire in various business operations and store but is unused to derive insights and for decision making in business.

Organizations nowadays are realizing that there is a huge risk associated with losing a competitive edge in business and regulatory issues that comes with not analyzing and processing this data. Hence, dark analytics is a practice followed in enterprises that advance in analyzing computer network operations and pattern recognition.

The rapid penetration owing to the introduction of digitalization and industrial revolutions and high growth in data generated by organizations because of increased adoption of IoT is expected to flourish the growth of the dark analytics market during the forecast period.

On the other hand, security concerns and risks associated with data are one of the major factors that are expected to hamper the growth of the Dark Analytics market over the analysis period.

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Which Drivers underpin Dark Analytics Industry Expansion?

Digitization of Businesses & Potential to Optimize Real-time Data Will Act as Prominent Growth Drivers

The major factor that is expected to propel the growth of the Dark Analytics market during the forecast period includes extracting insights for decision making by immediate analysis of real-time information from key business processes such as sales, production, and distribution trends.

Additionally, 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 anticipated to accelerate the growth of dark analytics market over the analysis period.

Internet access and devices enable organizations to obtain relevant data, such as customer behavior in retail outlets, real-time marketing analysis, sensor-driven decision analytics, and immediate control response in complex automated systems. Technology that connects businesses and governments to all smart prospects, such as smart urban, transportation, smart healthcare, and smart energy.

As an outcome, the rapid adaptation of IoT in vertical markets including BFSI, universal health care, industrial production, and others is projected to boost for dark analytics to produce significant information from dark data. Dark details can be obtained in the form of emails, video files, messages, audio, images, and other layouts. It is exceptionally hard for data analysts to maintain, regulate, and clean this dark data.

What are the Challenges Faced by Dark Analytics Industry?

High Volume of Raw & Unsynchronized Data May Slowdown the Market Expansion

Synchronization and integration of dark data are among the major restraints for the dark analytics market. There is huge heterogeneity in dark data since it is obtained from different sources at different rates and on different schedules. There is a risk of information being unsynchronized due to conventional data marts, sequences of data extractions and transformations, and importantly, its accumulation from diverse sources.

In recent times, the volume of data has been increasing due to the growing use of various personal devices, such as smartphones, wearable devices, and laptops, among others, which require real-time processing of data, data coherence, and proper technology selection, thereby making integration of transactional data much more difficult. This may hamper the adoption of dark analytics solutions in the coming years.

There is a huge scarcity of affordable dark analytics management and business consulting firms. The dark analytics management and consulting vertical is mostly dominated by large companies whose services are not in line with the needs and budgets of small and medium organizations. Large consulting companies are mostly concerned with selling their business services to undertake complex projects for extended periods. As there is a huge demand for analytics-associated services among small and business enterprises, the shortage of management and consulting firms may slow down the adoption of dark analytics in the coming years.

In addition, security concerns and risks associated with data, and data storage costs are some other factors impeding the growth of the dark analytics market over the analysis period.

Sudip Saha

Principal Consultant

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Region-wise Insights

Will North America Hold a Significant Position in the Global Dark Analytics Market?

Soaring Investments in BFSI & Cloud-based Start-ups are projected to Nurture the Dark Analytics Market

In terms of regional platforms, North America holds a significant market share in the dark analytics market. The region is expected to accumulate 35.7% revenue in 2022. North America is the biggest market for dark analytics market to ensure compliance with business processes and legal issues.

The region is expected to show significant growth in the dark analytics market, attributed to emerging start-ups and the rise in the adoption of analytics in enterprises. Dark analytics solutions are adopted by governments and large enterprises to improve their decision-making process.

For instance, In Aug 2022, SAP announced that the RISE with SAP solution continued its strong rate of adoption across businesses in North America, as organizations of all sizes selected SAP in the second quarter of 2022 to help drive their cloud transformations.

How Will Growth of the European Dark Analytics Market Unfold?

Incorporation of State-of-the-art Technologies in Business Model to Act as Primary Growth Driver

According to Future Market Insights, Europe is expected to provide immense growth opportunities for dark analytics and is expected to reach a market share of 18.8% in 2022. Europe is expected to emerge as the second-largest region, driven by the adoption of data-driven strategies in business processes. This market growth is attributed to the rising prominence of artificial intelligence and increasing investments in data analytics programs.

Over the years, Germany undertook new steps to institutionalize governmental data analysis. In 2021, the government made a Euro 239 million investment for building data labs in every ministry and the Chancellery, adding new capacity across the federal government. These initiatives are fuelling the market growth of the Dark Analytics segment in the region.

Moreover, the developments in the E-commerce and BFSI sectors are another factor augmenting the demand for dark analytics to make crucial business decisions.

How is Asia Pacific Bolstering the Demand for Dark Analytics?

Robust Growth in the IT Sector & Rising Demand for Enhanced Data Protection is likely to Amplify Demand

As per the recent analysis by Future Market Insights, Asia pacific is anticipated to be the highest growing region over the forecast period. The growth in the Asia Pacific will primarily be driven increasing concentration of IT companies adopting dark analytics to optimize their business functionality.

In Addition, the rising number of security breaches is one of the foremost factors anticipated to propel the growth of dark analytics during the forecast period. For instance, In July 2021, Japanese-headquartered insurance firm Tokio Marine Group became a victim of ransomware attacks on its Singapore unit. The insurer also verified that the ransomware attack affected the Singapore subsidiary only, and there is no damage or effect on different group companies. The victim organization has taken information security safeguards so far and will endeavor to make more efforts to keep customer data and confidential information protected.

Category-wise Insights

By End-user type, Which Dark Analytics Category Will Remain Prominent?

The global dark analytics market is segmented into analytics type, dark data type, end-user type, and regions. Based on the end-user type segment, the BFSI industry segment captures the highest volume of market share in the global Dark Analytics market. This segmental growth is attributed to the incessantly growing digital data and rising inclination toward the customer-centric business model.

The growing adoption of cutting-edge technologies including big data, blockchain, cloud computing, and biometrics generates extensive data. AI-based solutions are incorporated with machine learning algorithms to assist banks in gathering and analyzing data. It offers an in-depth analysis of the customer data and helps banks to make decisions, enabling operational efficiency and gaining higher ROI.

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The Start-Up Ecosystem: How key Players are Opening Frontiers for Future Growth?

There are many prominent market players in the dark analytics market, who are working hand-in-hand to provide the best-in-class Dark Analytics for enhancing the global analytics arena. However, many global start-ups in the dark analytics market are stepping forward in matching the requirements of the dark analytics domain.

Founded in 2012, Elastic is a Cloud-based platform for enterprise search. It is a distributed search and analytics engine for structured, unstructured, and time series data. It collects log data from multiple sources for visualization. Its commercial products offer deployment, monitoring, security, and notifications. Its clients include Microsoft, Netflix, Uber, and Slack. The company is based out of Mountain View (United States) and garnered funding of US$ 104 million.
Launched in 2015, Bobble AI is an Indian-based provider of an AI-based keyboard app. It has a facial recognition feature that is used to convert selfies into GIFs and stickers. Its other features include multilingual language support, glide typing, custom fonts, themes, voice typing, and autocorrection. The app integrates with Facebook, Snapchat, and Whatsapp Messenger platforms. The app features work in real-time with its ability to match facial expressions and facial tone with the sticker's emotion and theme. Since the launch, the company has collected funding of US$ 9 million.
Founded in 2015, Primer develops a text analytics solution that uses a combination of supervised and unsupervised machine learning models to ingest large quantities of textual data and provide summaries of what it deems the most important information. It uses 6 computational engines to help it summarize and contextualize data. The primer claims that its platform is used by government agencies and Fortune 50 companies. The startup has received a total funding of US$ 154 Million and is located in San Francisco (United States).
Founded in 2006, Clarabridge is a U.S based firm that offers a CEM platform to collect feedback through multi-channel - mobile, email, IVR, desktop, social channels, text, surveys, and blogs to capture the voice of the customer. Text analytics, speech analytics, sentiment analysis, and NLP help to manage unstructured feedback and provide real-time actionable insights that can be integrated with CRM systems to provide better services to customers. Some of its customers include AOL, Capital One, Expedia, Intuit, Walmart, United Airlines, and Marriott International. It acquired Engagor and MarketMetrix in 2015 and 2014.

Competitive Landscape: What are the Leading Players in the Dark Analytics Market Up to?

In July 2022, IBM announced the acquisition of Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures, and poor quality – before it impacts their bottom line. This news further strengthens IBM's software portfolio across data, AI, and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time.
In June 2022, Microsoft announced its plans to acquire cyber threat analysis and research company Miburo. The cybersecurity company specializes in detecting and responding to foreign information operations.
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.

Report Scope

Report Attribute	Details
Growth Rate	CAGR of 21.2% from 2022-2032
Market Value in 2022	US$ 491.9 Million
Market Value in 2032	US$ 3,356.7 Million
Base Year for Estimates	2021
Historical Data	2016-2021
Forecast Period	2022-2032
Quantitative Units	Revenue in US$ Million and CAGR from 2022-2032
Report Coverage	Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis
Segments Covered	Analytics type Dark Data type End User Region
Regions Covered	North America Latin America Europe Asia Pacific Middle East and Africa
Key Countries Profiled	U.S Canada Brazil Mexico Germany U.K France Spain Italy China Japan South Korea GCC South Africa Israel
Key Companies Profiled	IBM Corporation Deloitte SAP SE Teradata Hewlett-Packard EMC Corporation VMware, Inc. Microsoft Corporation

Key Segments Covered in the Dark Analytics Industry Analysis

Dark Analytics Market by Analytics Type:

Predictive Dark Analytics
Prescriptive Dark Analytics
Diagnostic Dark Analytics
Descriptive Dark Analytics

Dark Analytics Market by Dark Data Type:

Business Dark Analytics
Customer Dark Analytics
Operational Dark Analytics

Dark Analytics Market by End User:

Dark Analytics for BFSI
Dark Analytics for Government
Dark Analytics for Retail & E-Commerce
Dark Analytics for Travel and Hospitality
Dark Analytics for Other End Users

Dark Analytics Market by Region:

North America Dark Analytics Market
Latin America Dark Analytics Market
Europe Dark Analytics Market
Asia Pacific Dark Analytics Market
Middle East & Africa Dark Analytics Market

Frequently Asked Questions

What is the expected market value for Dark Analytics in 2022?

As of 2022, the Dark Analytics market is slated to reach a valuation of US$ 491.9 Million

At what rate will the Dark Analytics market flourish from 2022-2032?

From 2022-2032, sales of Dark Analytics are expected to grow at a 21.2% CAGR

What is the expected market value for Dark Analytics in 2032?

By 2032, Future Market Insights expects the Dark Analytics market to reach US$ 3,356.7 Million

Table of Content

1. Executive Summary

1.1. Global Market Outlook

1.2. Demand-side Trends

1.3. Supply-side Trends

1.4. Technology Roadmap Analysis

1.5. Analysis and Recommendations

2. Market Overview

2.1. Market Coverage / Taxonomy

2.2. Market Definition / Scope / Limitations

3. Market Background

3.1. Market Dynamics

3.1.1. Drivers

3.1.2. Restraints

3.1.3. Opportunity

3.1.4. Trends

3.2. Scenario Forecast

3.2.1. Demand in Optimistic Scenario

3.2.2. Demand in Likely Scenario

3.2.3. Demand in Conservative Scenario

3.3. Opportunity Map Analysis

3.4. Investment Feasibility Matrix

3.5. PESTLE and Porter’s Analysis

3.6. Regulatory Landscape

3.6.1. By Key Regions

3.6.2. By Key Countries

3.7. Regional Parent Market Outlook

4. Global Market Analysis 2016-2021 and Forecast, 2022-2032

4.1. Historical Market Size Value (US$ Mn) Analysis, 2016-2021

4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032

4.2.1. Y-o-Y Growth Trend Analysis

4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2016-2021 and Forecast 2022-2032, By Analytics Type

5.1. Introduction / Key Findings

5.2. Historical Market Size Value (US$ Mn) Analysis By Analytics Type, 2016-2021

5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Analytics Type, 2022-2032

5.3.1. Predictive

5.3.2. Prescriptive

5.3.3. Diagnostic

5.3.4. Descriptive

5.4. Y-o-Y Growth Trend Analysis By Analytics Type, 2016-2021

5.5. Absolute $ Opportunity Analysis By Analytics Type, 2022-2032

6. Global Market Analysis 2016-2021 and Forecast 2022-2032, By Dark Data Type

6.1. Introduction / Key Findings

6.2. Historical Market Size Value (US$ Mn) Analysis By Dark Data Type, 2016-2021

6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Dark Data Type, 2022-2032

6.3.1. Business

6.3.2. Customer

6.3.3. Operational Dark Data

6.4. Y-o-Y Growth Trend Analysis By Dark Data Type, 2016-2021

6.5. Absolute $ Opportunity Analysis By Dark Data Type, 2022-2032

7. Global Market Analysis 2016-2021 and Forecast 2022-2032, By End User

7.1. Introduction / Key Findings

7.2. Historical Market Size Value (US$ Mn) Analysis By End User, 2016-2021

7.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By End User, 2022-2032

7.3.1. BSFI

7.3.2. Government

7.3.3. Retail and E-commerce

7.3.4. Travel and Hospitality

7.3.5. Others

7.4. Y-o-Y Growth Trend Analysis By End User, 2016-2021

7.5. Absolute $ Opportunity Analysis By End User, 2022-2032

8. Global Market Analysis 2016-2021 and Forecast 2022-2032, By Region

8.1. Introduction

8.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2016-2021

8.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032

8.3.1. North America

8.3.2. Latin America

8.3.3. Europe

8.3.4. Asia Pacific

8.3.5. MEA

8.4. Market Attractiveness Analysis By Region

9. North America Market Analysis 2016-2021 and Forecast 2022-2032, By Country

9.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021

9.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032

9.2.1. By Country

9.2.1.1. US

9.2.1.2. Canada

9.2.2. By Analytics Type

9.2.3. By Dark Data Type

9.2.4. By End User

9.3. Market Attractiveness Analysis

9.3.1. By Country

9.3.2. By Analytics Type

9.3.3. By Dark Data Type

9.3.4. By End User

9.4. Key Takeaways

10. Latin America Market Analysis 2016-2021 and Forecast 2022-2032, By Country

10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021

10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032

10.2.1. By Country

10.2.1.1. Brazil

10.2.1.2. Mexico

10.2.1.3. Rest of Latin America

10.2.2. By Analytics Type

10.2.3. By Dark Data Type

10.2.4. By End User

10.3. Market Attractiveness Analysis

10.3.1. By Country

10.3.2. By Analytics Type

10.3.3. By Dark Data Type

10.3.4. By End User

10.4. Key Takeaways

11. Europe Market Analysis 2016-2021 and Forecast 2022-2032, By Country

11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021

11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032

11.2.1. By Country

11.2.1.1. Germany

11.2.1.2. U.K.

11.2.1.3. France

11.2.1.4. Spain

11.2.1.5. Italy

11.2.1.6. Rest of Europe

11.2.2. By Analytics Type

11.2.3. By Dark Data Type

11.2.4. By End User

11.3. Market Attractiveness Analysis

11.3.1. By Country

11.3.2. By Analytics Type

11.3.3. By Dark Data Type

11.3.4. By End User

11.4. Key Takeaways

12. Asia Pacific Market Analysis 2016-2021 and Forecast 2022-2032, By Country

12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021

12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032

12.2.1. By Country

12.2.1.1. China

12.2.1.2. Japan

12.2.1.3. South Korea

12.2.1.4. Rest of Asia Pacific

12.2.2. By Analytics Type

12.2.3. By Dark Data Type

12.2.4. By End User

12.3. Market Attractiveness Analysis

12.3.1. By Country

12.3.2. By Analytics Type

12.3.3. By Dark Data Type

12.3.4. By End User

12.4. Key Takeaways

13. MEA Market Analysis 2016-2021 and Forecast 2022-2032, By Country

13.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021

13.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032

13.2.1. By Country

13.2.1.1. GCC Countries

13.2.1.2. South Africa

13.2.1.3. Israel

13.2.1.4. Rest of MEA

13.2.2. By Analytics Type

13.2.3. By Dark Data Type

13.2.4. By End User

13.3. Market Attractiveness Analysis

13.3.1. By Country

13.3.2. By Analytics Type

13.3.3. By Dark Data Type

13.3.4. By End User

13.4. Key Takeaways

14. Key Countries Market Analysis

14.1. US

14.1.1. Pricing Analysis

14.1.2. Market Share Analysis, 2021

14.1.2.1. By Analytics Type

14.1.2.2. By Dark Data Type

14.1.2.3. By End User

14.2. Canada

14.2.1. Pricing Analysis

14.2.2. Market Share Analysis, 2021

14.2.2.1. By Analytics Type

14.2.2.2. By Dark Data Type

14.2.2.3. By End User

14.3. Brazil

14.3.1. Pricing Analysis

14.3.2. Market Share Analysis, 2021

14.3.2.1. By Analytics Type

14.3.2.2. By Dark Data Type

14.3.2.3. By End User

14.4. Mexico

14.4.1. Pricing Analysis

14.4.2. Market Share Analysis, 2021

14.4.2.1. By Analytics Type

14.4.2.2. By Dark Data Type

14.4.2.3. By End User

14.5. Germany

14.5.1. Pricing Analysis

14.5.2. Market Share Analysis, 2021

14.5.2.1. By Analytics Type

14.5.2.2. By Dark Data Type

14.5.2.3. By End User

14.6. U.K.

14.6.1. Pricing Analysis

14.6.2. Market Share Analysis, 2021

14.6.2.1. By Analytics Type

14.6.2.2. By Dark Data Type

14.6.2.3. By End User

14.7. France

14.7.1. Pricing Analysis

14.7.2. Market Share Analysis, 2021

14.7.2.1. By Analytics Type

14.7.2.2. By Dark Data Type

14.7.2.3. By End User

14.8. Spain

14.8.1. Pricing Analysis

14.8.2. Market Share Analysis, 2021

14.8.2.1. By Analytics Type

14.8.2.2. By Dark Data Type

14.8.2.3. By End User

14.9. Italy

14.9.1. Pricing Analysis

14.9.2. Market Share Analysis, 2021

14.9.2.1. By Analytics Type

14.9.2.2. By Dark Data Type

14.9.2.3. By End User

14.10. China

14.10.1. Pricing Analysis

14.10.2. Market Share Analysis, 2021

14.10.2.1. By Analytics Type

14.10.2.2. By Dark Data Type

14.10.2.3. By End User

14.11. Japan

14.11.1. Pricing Analysis

14.11.2. Market Share Analysis, 2021

14.11.2.1. By Analytics Type

14.11.2.2. By Dark Data Type

14.11.2.3. By End User

14.12. South Korea

14.12.1. Pricing Analysis

14.12.2. Market Share Analysis, 2021

14.12.2.1. By Analytics Type

14.12.2.2. By Dark Data Type

14.12.2.3. By End User

14.13. GCC Countries

14.13.1. Pricing Analysis

14.13.2. Market Share Analysis, 2021

14.13.2.1. By Analytics Type

14.13.2.2. By Dark Data Type

14.13.2.3. By End User

14.14. South Africa

14.14.1. Pricing Analysis

14.14.2. Market Share Analysis, 2021

14.14.2.1. By Analytics Type

14.14.2.2. By Dark Data Type

14.14.2.3. By End User

14.15. Israel

14.15.1. Pricing Analysis

14.15.2. Market Share Analysis, 2021

14.15.2.1. By Analytics Type

14.15.2.2. By Dark Data Type

14.15.2.3. By End User

15. Market Structure Analysis

15.1. Competition Dashboard

15.2. Competition Benchmarking

15.3. Market Share Analysis of Top Players

15.3.1. By Regional

15.3.2. By Analytics Type

15.3.3. By Dark Data Type

15.3.4. By End User

16. Competition Analysis

16.1. Competition Deep Dive

16.1.1. IBM Corporation

16.1.1.1. Overview

16.1.1.2. Product Portfolio

16.1.1.3. Profitability by Market Segments

16.1.1.4. Sales Footprint

16.1.1.5. Strategy Overview

16.1.1.5.1. Marketing Strategy

16.1.2. Deloitte

16.1.2.1. Overview

16.1.2.2. Product Portfolio

16.1.2.3. Profitability by Market Segments

16.1.2.4. Sales Footprint

16.1.2.5. Strategy Overview

16.1.2.5.1. Marketing Strategy

16.1.3. SAP SE

16.1.3.1. Overview

16.1.3.2. Product Portfolio

16.1.3.3. Profitability by Market Segments

16.1.3.4. Sales Footprint

16.1.3.5. Strategy Overview

16.1.3.5.1. Marketing Strategy

16.1.4. Teradata

16.1.4.1. Overview

16.1.4.2. Product Portfolio

16.1.4.3. Profitability by Market Segments

16.1.4.4. Sales Footprint

16.1.4.5. Strategy Overview

16.1.4.5.1. Marketing Strategy

16.1.5. Hewlett-Packard

16.1.5.1. Overview

16.1.5.2. Product Portfolio

16.1.5.3. Profitability by Market Segments

16.1.5.4. Sales Footprint

16.1.5.5. Strategy Overview

16.1.5.5.1. Marketing Strategy

16.1.6. EMC Corporation

16.1.6.1. Overview

16.1.6.2. Product Portfolio

16.1.6.3. Profitability by Market Segments

16.1.6.4. Sales Footprint

16.1.6.5. Strategy Overview

16.1.6.5.1. Marketing Strategy

16.1.7. VMware

16.1.7.1. Overview

16.1.7.2. Product Portfolio

16.1.7.3. Profitability by Market Segments

16.1.7.4. Sales Footprint

16.1.7.5. Strategy Overview

16.1.7.5.1. Marketing Strategy

16.1.8. Microsoft Corporation

16.1.8.1. Overview

16.1.8.2. Product Portfolio

16.1.8.3. Profitability by Market Segments

16.1.8.4. Sales Footprint

16.1.8.5. Strategy Overview

16.1.8.5.1. Marketing Strategy

17. Assumptions & Acronyms Used

18. Research Methodolog

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List of Tables

Table 1: Global Market Value (US$ Mn) Forecast by Region, 2016-2032

Table 2: Global Market Value (US$ Mn) Forecast by Analytics Type, 2016-2032

Table 3: Global Market Value (US$ Mn) Forecast by Dark Data Type, 2016-2032

Table 4: Global Market Value (US$ Mn) Forecast by End User, 2016-2032

Table 5: North America Market Value (US$ Mn) Forecast by Country, 2016-2032

Table 6: North America Market Value (US$ Mn) Forecast by Analytics Type, 2016-2032

Table 7: North America Market Value (US$ Mn) Forecast by Dark Data Type, 2016-2032

Table 8: North America Market Value (US$ Mn) Forecast by End User, 2016-2032

Table 9: Latin America Market Value (US$ Mn) Forecast by Country, 2016-2032

Table 10: Latin America Market Value (US$ Mn) Forecast by Analytics Type, 2016-2032

Table 11: Latin America Market Value (US$ Mn) Forecast by Dark Data Type, 2016-2032

Table 12: Latin America Market Value (US$ Mn) Forecast by End User, 2016-2032

Table 13: Europe Market Value (US$ Mn) Forecast by Country, 2016-2032

Table 14: Europe Market Value (US$ Mn) Forecast by Analytics Type, 2016-2032

Table 15: Europe Market Value (US$ Mn) Forecast by Dark Data Type, 2016-2032

Table 16: Europe Market Value (US$ Mn) Forecast by End User, 2016-2032

Table 17: Asia Pacific Market Value (US$ Mn) Forecast by Country, 2016-2032

Table 18: Asia Pacific Market Value (US$ Mn) Forecast by Analytics Type, 2016-2032

Table 19: Asia Pacific Market Value (US$ Mn) Forecast by Dark Data Type, 2016-2032

Table 20: Asia Pacific Market Value (US$ Mn) Forecast by End User, 2016-2032

Table 21: MEA Market Value (US$ Mn) Forecast by Country, 2016-2032

Table 22: MEA Market Value (US$ Mn) Forecast by Analytics Type, 2016-2032

Table 23: MEA Market Value (US$ Mn) Forecast by Dark Data Type, 2016-2032

Table 24: MEA Market Value (US$ Mn) Forecast by End User, 2016-2032

Sudip Saha

Principal Consultant

Talk to Analyst

Find your sweet spots for generating winning opportunities in this market.

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List of Charts

Figure 1: Global Market Value (US$ Mn) by Analytics Type, 2022-2032

Figure 2: Global Market Value (US$ Mn) by Dark Data Type, 2022-2032

Figure 3: Global Market Value (US$ Mn) by End User, 2022-2032

Figure 4: Global Market Value (US$ Mn) by Region, 2022-2032

Figure 5: Global Market Value (US$ Mn) Analysis by Region, 2016-2032

Figure 6: Global Market Value Share (%) and BPS Analysis by Region, 2022-2032

Figure 7: Global Market Y-o-Y Growth (%) Projections by Region, 2022-2032

Figure 8: Global Market Value (US$ Mn) Analysis by Analytics Type, 2016-2032

Figure 9: Global Market Value Share (%) and BPS Analysis by Analytics Type, 2022-2032

Figure 10: Global Market Y-o-Y Growth (%) Projections by Analytics Type, 2022-2032

Figure 11: Global Market Value (US$ Mn) Analysis by Dark Data Type, 2016-2032

Figure 12: Global Market Value Share (%) and BPS Analysis by Dark Data Type, 2022-2032

Figure 13: Global Market Y-o-Y Growth (%) Projections by Dark Data Type, 2022-2032

Figure 14: Global Market Value (US$ Mn) Analysis by End User, 2016-2032

Figure 15: Global Market Value Share (%) and BPS Analysis by End User, 2022-2032

Figure 16: Global Market Y-o-Y Growth (%) Projections by End User, 2022-2032

Figure 17: Global Market Attractiveness by Analytics Type, 2022-2032

Figure 18: Global Market Attractiveness by Dark Data Type, 2022-2032

Figure 19: Global Market Attractiveness by End User, 2022-2032

Figure 20: Global Market Attractiveness by Region, 2022-2032

Figure 21: North America Market Value (US$ Mn) by Analytics Type, 2022-2032

Figure 22: North America Market Value (US$ Mn) by Dark Data Type, 2022-2032

Figure 23: North America Market Value (US$ Mn) by End User, 2022-2032

Figure 24: North America Market Value (US$ Mn) by Country, 2022-2032

Figure 25: North America Market Value (US$ Mn) Analysis by Country, 2016-2032

Figure 26: North America Market Value Share (%) and BPS Analysis by Country, 2022-2032

Figure 27: North America Market Y-o-Y Growth (%) Projections by Country, 2022-2032

Figure 28: North America Market Value (US$ Mn) Analysis by Analytics Type, 2016-2032

Figure 29: North America Market Value Share (%) and BPS Analysis by Analytics Type, 2022-2032

Figure 30: North America Market Y-o-Y Growth (%) Projections by Analytics Type, 2022-2032

Figure 31: North America Market Value (US$ Mn) Analysis by Dark Data Type, 2016-2032

Figure 32: North America Market Value Share (%) and BPS Analysis by Dark Data Type, 2022-2032

Figure 33: North America Market Y-o-Y Growth (%) Projections by Dark Data Type, 2022-2032

Figure 34: North America Market Value (US$ Mn) Analysis by End User, 2016-2032

Figure 35: North America Market Value Share (%) and BPS Analysis by End User, 2022-2032

Figure 36: North America Market Y-o-Y Growth (%) Projections by End User, 2022-2032

Figure 37: North America Market Attractiveness by Analytics Type, 2022-2032

Figure 38: North America Market Attractiveness by Dark Data Type, 2022-2032

Figure 39: North America Market Attractiveness by End User, 2022-2032

Figure 40: North America Market Attractiveness by Country, 2022-2032

Figure 41: Latin America Market Value (US$ Mn) by Analytics Type, 2022-2032

Figure 42: Latin America Market Value (US$ Mn) by Dark Data Type, 2022-2032

Figure 43: Latin America Market Value (US$ Mn) by End User, 2022-2032

Figure 44: Latin America Market Value (US$ Mn) by Country, 2022-2032

Figure 45: Latin America Market Value (US$ Mn) Analysis by Country, 2016-2032

Figure 46: Latin America Market Value Share (%) and BPS Analysis by Country, 2022-2032

Figure 47: Latin America Market Y-o-Y Growth (%) Projections by Country, 2022-2032

Figure 48: Latin America Market Value (US$ Mn) Analysis by Analytics Type, 2016-2032

Figure 49: Latin America Market Value Share (%) and BPS Analysis by Analytics Type, 2022-2032

Figure 50: Latin America Market Y-o-Y Growth (%) Projections by Analytics Type, 2022-2032

Figure 51: Latin America Market Value (US$ Mn) Analysis by Dark Data Type, 2016-2032

Figure 52: Latin America Market Value Share (%) and BPS Analysis by Dark Data Type, 2022-2032

Figure 53: Latin America Market Y-o-Y Growth (%) Projections by Dark Data Type, 2022-2032

Figure 54: Latin America Market Value (US$ Mn) Analysis by End User, 2016-2032

Figure 55: Latin America Market Value Share (%) and BPS Analysis by End User, 2022-2032

Figure 56: Latin America Market Y-o-Y Growth (%) Projections by End User, 2022-2032

Figure 57: Latin America Market Attractiveness by Analytics Type, 2022-2032

Figure 58: Latin America Market Attractiveness by Dark Data Type, 2022-2032

Figure 59: Latin America Market Attractiveness by End User, 2022-2032

Figure 60: Latin America Market Attractiveness by Country, 2022-2032

Figure 61: Europe Market Value (US$ Mn) by Analytics Type, 2022-2032

Figure 62: Europe Market Value (US$ Mn) by Dark Data Type, 2022-2032

Figure 63: Europe Market Value (US$ Mn) by End User, 2022-2032

Figure 64: Europe Market Value (US$ Mn) by Country, 2022-2032

Figure 65: Europe Market Value (US$ Mn) Analysis by Country, 2016-2032

Figure 66: Europe Market Value Share (%) and BPS Analysis by Country, 2022-2032

Figure 67: Europe Market Y-o-Y Growth (%) Projections by Country, 2022-2032

Figure 68: Europe Market Value (US$ Mn) Analysis by Analytics Type, 2016-2032

Figure 69: Europe Market Value Share (%) and BPS Analysis by Analytics Type, 2022-2032

Figure 70: Europe Market Y-o-Y Growth (%) Projections by Analytics Type, 2022-2032

Figure 71: Europe Market Value (US$ Mn) Analysis by Dark Data Type, 2016-2032

Figure 72: Europe Market Value Share (%) and BPS Analysis by Dark Data Type, 2022-2032

Figure 73: Europe Market Y-o-Y Growth (%) Projections by Dark Data Type, 2022-2032

Figure 74: Europe Market Value (US$ Mn) Analysis by End User, 2016-2032

Figure 75: Europe Market Value Share (%) and BPS Analysis by End User, 2022-2032

Figure 76: Europe Market Y-o-Y Growth (%) Projections by End User, 2022-2032

Figure 77: Europe Market Attractiveness by Analytics Type, 2022-2032

Figure 78: Europe Market Attractiveness by Dark Data Type, 2022-2032

Figure 79: Europe Market Attractiveness by End User, 2022-2032

Figure 80: Europe Market Attractiveness by Country, 2022-2032

Figure 81: Asia Pacific Market Value (US$ Mn) by Analytics Type, 2022-2032

Figure 82: Asia Pacific Market Value (US$ Mn) by Dark Data Type, 2022-2032

Figure 83: Asia Pacific Market Value (US$ Mn) by End User, 2022-2032

Figure 84: Asia Pacific Market Value (US$ Mn) by Country, 2022-2032

Figure 85: Asia Pacific Market Value (US$ Mn) Analysis by Country, 2016-2032

Figure 86: Asia Pacific Market Value Share (%) and BPS Analysis by Country, 2022-2032

Figure 87: Asia Pacific Market Y-o-Y Growth (%) Projections by Country, 2022-2032

Figure 88: Asia Pacific Market Value (US$ Mn) Analysis by Analytics Type, 2016-2032

Figure 89: Asia Pacific Market Value Share (%) and BPS Analysis by Analytics Type, 2022-2032

Figure 90: Asia Pacific Market Y-o-Y Growth (%) Projections by Analytics Type, 2022-2032

Figure 91: Asia Pacific Market Value (US$ Mn) Analysis by Dark Data Type, 2016-2032

Figure 92: Asia Pacific Market Value Share (%) and BPS Analysis by Dark Data Type, 2022-2032

Figure 93: Asia Pacific Market Y-o-Y Growth (%) Projections by Dark Data Type, 2022-2032

Figure 94: Asia Pacific Market Value (US$ Mn) Analysis by End User, 2016-2032

Figure 95: Asia Pacific Market Value Share (%) and BPS Analysis by End User, 2022-2032

Figure 96: Asia Pacific Market Y-o-Y Growth (%) Projections by End User, 2022-2032

Figure 97: Asia Pacific Market Attractiveness by Analytics Type, 2022-2032

Figure 98: Asia Pacific Market Attractiveness by Dark Data Type, 2022-2032

Figure 99: Asia Pacific Market Attractiveness by End User, 2022-2032

Figure 100: Asia Pacific Market Attractiveness by Country, 2022-2032

Figure 101: MEA Market Value (US$ Mn) by Analytics Type, 2022-2032

Figure 102: MEA Market Value (US$ Mn) by Dark Data Type, 2022-2032

Figure 103: MEA Market Value (US$ Mn) by End User, 2022-2032

Figure 104: MEA Market Value (US$ Mn) by Country, 2022-2032

Figure 105: MEA Market Value (US$ Mn) Analysis by Country, 2016-2032

Figure 106: MEA Market Value Share (%) and BPS Analysis by Country, 2022-2032

Figure 107: MEA Market Y-o-Y Growth (%) Projections by Country, 2022-2032

Figure 108: MEA Market Value (US$ Mn) Analysis by Analytics Type, 2016-2032

Figure 109: MEA Market Value Share (%) and BPS Analysis by Analytics Type, 2022-2032

Figure 110: MEA Market Y-o-Y Growth (%) Projections by Analytics Type, 2022-2032

Figure 111: MEA Market Value (US$ Mn) Analysis by Dark Data Type, 2016-2032

Figure 112: MEA Market Value Share (%) and BPS Analysis by Dark Data Type, 2022-2032

Figure 113: MEA Market Y-o-Y Growth (%) Projections by Dark Data Type, 2022-2032

Figure 114: MEA Market Value (US$ Mn) Analysis by End User, 2016-2032

Figure 115: MEA Market Value Share (%) and BPS Analysis by End User, 2022-2032

Figure 116: MEA Market Y-o-Y Growth (%) Projections by End User, 2022-2032

Figure 117: MEA Market Attractiveness by Analytics Type, 2022-2032

Figure 118: MEA Market Attractiveness by Dark Data Type, 2022-2032

Figure 119: MEA Market Attractiveness by End User, 2022-2032

Figure 120: MEA Market Attractiveness by Country, 2022-2032