Cross-cloud Analytics Market Outlook

According to Future Market Insights, the global cross-cloud analytics market size has reached US$ 3.6 Bn in 2018. Demand for cross-cloud analytics recorded Y-o-Y growth of 15.3% in 2022, and thus, the global market is expected to reach US$ 8.6 Bn in 2023. Over the projection period 2023 to 2033, cross-cloud analytics solutions sales in the region are projected to exhibit 21.3% CAGR and total a market size of US$ 59.8 Bn by 2033-end.

Cross-cloud analytics refers to the practice of aggregating and analyzing data from multiple cloud environments or cloud-based services. It involves integrating data from different cloud platforms, such as Google Cloud Platform (GCP), Microsoft Azure, Amazon Web Services (AWS), and others, into a unified analytics solution.

In a hybrid cloud environment, organizations may utilize various cloud providers and services to meet their specific requirements. Each cloud platform typically offers its own set of analytics tools and services for data processing, storage, and analysis. Cross-cloud analytics aims to bring together data from these disparate cloud sources and enable organizations to gain a comprehensive view of their data, regardless of where it is stored.

Other Drivers Propelling the Demand for Cross-cloud Analytics include:

  • The widespread adoption of cloud computing across industries has led to the generation of massive amounts of data, which is manage and analyzed by cross-cloud analytics.
  • Cross-cloud analytics solutions help organizations aggregate and integrate data from different clouds, enabling a unified view and analysis.
  • Cross-cloud analytics offers flexibility in choosing the best-suited cloud platform for specific analytics workloads, such as storage, processing, or machine learning, based on cost, performance, or specialized features.
  • Cross-cloud analytics empowers organizations to rapidly innovate and respond to changing business needs.

Challenges for Companies /Manufacturers in the Cross-cloud Analytics Market:

  • Organizations may face challenges when trying to extract and move data from one cloud platform to another due to proprietary formats or dependencies on specific cloud provider services.
  • While cloud computing offers scalability and cost-efficiency, managing data and running analytics across multiple cloud platforms can still incur significant expenses.
  • The absence of consistent standards can create complexities and hinder the scalability of cross-cloud analytics solutions.
  • Ensuring seamless data integration and maintaining data quality across multiple clouds is a challenge that organizations face when implementing cross-cloud analytics solutions.

Opportunities in the Cross-cloud Analytics Industry:

  • Cross-cloud analytics solutions that offer seamless data integration, harmonization, and movement across multiple clouds will be in high demand.
  • The integration of artificial intelligence (AI) and machine learning (ML) technologies into cross-cloud analytics platforms will unlock new opportunities for advanced analytics capabilities.
  • Cross-cloud analytics platforms that can seamlessly integrate edge analytics with centralized cloud analytics will enable organizations to derive real-time insights and make quicker decisions.
  • Opportunities for cross-cloud analytics vendors to develop industry-specific solutions tailored to sectors such as healthcare, finance, manufacturing, retail, and more.

Latest Trends in the Cross-cloud Analytics Market:

  • Organizations are increasingly adopting hybrid and multi-cloud strategies, leveraging a combination of on-premises infrastructure and multiple cloud providers.
  • The adoption of DataOps practices, which emphasize collaboration, automation, and continuous delivery of data, is becoming more prevalent.
  • Containerization and micro services architectures are increasingly used for deploying and managing applications in cloud environments.
  • As data privacy and compliance regulations become stricter, organizations are placing a greater emphasis on data governance and compliance in their analytics operations.
Attributes Details
Cross-cloud Analytics Market Size (2023) US$ 8.6 Bn
Cross-cloud Analytics Market Projected Size (2033) US$ 59.8 Bn
Value CAGR (2023 to 2033) 21.3%

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2018 to 2022 Cross-cloud Analytics Demand Outlook Compared to 2023 to 2033 Forecast

From 2018 to 2022, the global cross-cloud analytics market experienced a CAGR of 19.2%, reaching a market size of US$ 8.6 Bn in 2023.

The demand for cross-cloud analytics solutions experienced significant growth as organizations increasingly adopted multi-cloud and hybrid cloud strategies. During the historic period, the cross-cloud analytics market was driven by factors such as cloud adoption, data integration challenges, the need for insights, flexibility provided by the cross-cloud platform.

The demand for cross-cloud analytics solutions grew, as organizations needed to integrate and analyze data from various cloud environments. Cross-cloud analytics solutions offered the capability to seamlessly integrate and harmonize data from disparate sources, addressing the need for unified data access and analysis. Businesses sought to gain a comprehensive view of their data across clouds, allowing them to make informed decisions and drive strategic initiatives.

Future Forecast for Cross-cloud Analytics Solution

Looking ahead, the global cross-cloud analytics industry is expected to rise at a CAGR of 21.3% from 2023 to 2033. During the forecast period, the market size is expected to reach US$ 59.8 Bn.

The cross-cloud analytics industry is expected to continue its growth course from 2023 to 2033, driven by the adoption of advanced technology in the hybrid cloud analytics is increasing, the demand for cross-cloud analytics solutions is expected to grow, as organizations need to integrate and analyze data from multiple cloud platforms. As cross-cloud analytics continue to eradicate challenges of data silos, cross-cloud analytics will enable the integration of data from these silos, providing a unified view of the data and eliminating the need to switch between different cloud platforms and boost the market over the forecast period.

Sudip Saha
Sudip Saha

Principal Consultant

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Country-Wise Insights

Cross-cloud Analytics Market to flourish in the United States with Widespread Adoption of Cross-cloud Strategies to Gain Unified Insights

Country The United States
Market Size (US$ billion) by End of Forecast Period (2033) US$ 7.5 Bn
CAGR % 2023 to End of Forecast (2033) 20.3%

The cross-cloud analytics in the United States is expected to reach a market share of US$ 7.5 Bn by 2033, expanding at a CAGR of 20.3%. In the United States, the driving factor for the cross-cloud analytics market is the widespread adoption of multi-cloud strategies by organizations. The need to leverage the strengths of multiple cloud providers, access and analyze data across different cloud environments, and gain unified insights drives the demand for cross-cloud analytics solutions. Moreover, there are detailed factors expected to drive the growth for cross-cloud analytics in the country are:

  • The United States has a prominent cloud computing market, and due to multiple cloud platforms the multi-cloud analytics solutions is on high demand.
  • Numerous companies based in United States, especially the tech giants that offers a wide range of cloud solutions to clients across the globe.

Improved Data-driven Decisions are driving the Growth in the United Kingdom's Cross-cloud Analytics Market

Country The United Kingdom
Market Size (US$ billion) by End of Forecast Period (2033) US$ 5.0 Bn
CAGR % 2023 to End of Forecast (2033) 19.9%

The cross-cloud analytics industry in the United Kingdom is expected to reach a market share of US$ 5.0 Bn, expanding at a CAGR of 19.9% during the forecast period. The United Kingdom market is projected to experience growth due to the driving factor for the cross-cloud analytics market is the increasing focus on data-driven decision-making and digital transformation initiatives. Organizations seek cross-cloud analytics solutions to integrate and analyze data from multiple cloud platforms, enabling them to gain valuable insights, optimize costs, and drive innovation.

Notable Growth Expected in China's Cross-cloud Analytics Market Due to Emerging Hybrid Cloud Market

Country China
Market Size (US$ billion) by End of Forecast Period (2033) US$ 6.5 Bn
CAGR % 2023 to End of Forecast (2033) 23.2%

The cross-cloud analytics industry in China is anticipated to reach a market share of US$ 6.5 Bn, moving at a CAGR of 23.2% during the forecast period. The cross-cloud analytics market in China is likely to grow due to the hybrid cloud market and the demands for it to emerge at a massive scale.

The hybrid cloud platform that integrates artificial intelligence and machine learning technologies can provide end-to-end intelligent monitoring and automated management, including cross-cloud resource platform intelligence (data center, private cloud, hybrid cloud, public cloud). The cross-cloud analytics aggregates and integrates data from multiple cloud environments, enabling organizations to gain a unified view and insights across their distributed data sources.

Japan’s Pursuit of Business Agility and Competitiveness in Cross-cloud Analytics is driving the Market Growth

Country Japan
Market Size (US$ billion) by End of Forecast Period (2033) US$ 6.1 Bn
CAGR % 2023 to End of Forecast (2033) 22.1%

The cross-cloud analytics market in Japan is estimated to reach a market share of US$ 6.1 Bn by 2033, thriving at a CAGR of 22.1%. The cross-cloud analytics market in Japan is witnessing substantial growth, driven by the pursuit of enhanced business agility and competitiveness. Organizations leverage cross-cloud analytics solutions to integrate and analyze data from multiple cloud environments, enabling them to make informed decisions, drive innovation, and adapt to changing market dynamics. The focus on advanced analytics capabilities and data governance also contributes to the demand for cross-cloud analytics solutions in Japan.

Demand for Cross-cloud Analytics Due to Robust Real Estate Sector and Tech Savvy Population is driving the Market Growth in India

Country India
Market Size (US$ billion) by End of Forecast Period (2033) US$ 4.7 Bn
CAGR % 2023 to End of Forecast (2033) 27.7%

The cross-cloud analytics industry in India is expected to reach a market share of US$ 4.7 Bn, expanding at a CAGR of 27.7% during the forecast period. As organizations migrate their infrastructure and applications to the cloud, there is a growing need to integrate and analyze data from multiple cloud platforms, leading to an increased demand for cross-cloud analytics solutions. India has a diverse range of industries, including IT services, healthcare and more. Each industry has unique analytics requirements and faces specific challenges. The cross-cloud analytics market caters to these diverse industry needs, providing tailored solutions that address industry-specific data integration, analysis, and governance challenges.

Category-Wise Insights

Data Governance Segment to Dominate Cross-cloud Analytics Market with 23.6% CAGR through 2033

The data governance segment is expected to dominate the cross-cloud analytics market with a CAGR of 23.6% from 2023 to 2033. The growing importance of data governance in cross-cloud analytics reflects the need for organizations to effectively manage, protect, and leverage their data assets across diverse cloud environments.

Cross-cloud analytics solutions provide a centralized management and control framework that allows organizations to govern data across different cloud platforms. This enables consistent application of data governance, metadata management, access controls, and data classification, ensuring that data is governed in a cohesive and standardized manner.

How the Predictive Analytics is driving the Cross-cloud Analytics Market?

The predictive analytics segment is expected to dominate the cross-cloud analytics market with a market share of 28.7% over the forecast period. Predictive analytics involves utilizing advanced techniques, such as machine learning algorithms, to analyze historical and real-time data to make predictions about future outcomes or trends.

Predictive analytics assists organizations in optimizing various aspects of their operations, including sales forecasting, demand planning, inventory management, and resource allocation. By leveraging this functionality, organizations can make precise predictions about customer behavior, market trends, and operational efficiencies, resulting in cost savings and enhanced business outcomes.

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How Key Players Stay Competitive in the Cross-cloud Analytics Market?

The cross-cloud analytics industry is highly competitive, with numerous players vying for market share. In such a scenario, key players must adopt effective strategies to stay ahead of the competition.

Key Strategies Adopted by the Players

  • Product Innovation

Companies focus on developing innovative analytics capabilities, such as machine learning, natural language processing, and predictive analytics, to enable more powerful and accurate cross-cloud analytics solutions. Enhancing data integration capabilities to seamlessly connect and consolidate data from multiple cloud platforms, ensuring interoperability and easy access to diverse data sources for analysis.

  • Strategic Partnerships and Collaborations

Collaborating with major cloud service providers, such as AWS, Azure, and GCP, to integrate and leverage their respective cloud platforms, services, and analytics tools, enabling seamless cross-cloud analytics capabilities for customers. Collaborating with technology vendors specializing in areas like data integration, data governance, security, and advanced analytics to enhance product offerings and provide comprehensive cross-cloud analytics solutions.

  • Expansion into Emerging Markets

Expanding operations and establishing a presence in emerging markets where cross-cloud adoption is growing, allowing companies to tap into new customer bases and meet the increasing demand for cross-cloud analytics solutions. Adapting products and services to specific regional or cultural requirements in emerging markets, addressing language preferences, regulatory frameworks, and local data storage requirements.

  • Mergers and Acquisitions

Acquiring innovative technology companies specializing in areas like data integration, data governance, analytics, or cloud management to enhance product capabilities and accelerate development. Merging with or acquiring competitors to strengthen market position and gain a larger market share in the cross-cloud analytics space.

Key Players in the Cross-cloud Analytics Industry

  • Google
  • Microsoft Corporation
  • Amazon
  • IBM Corporation
  • Snowflake

Key Developments in the Cross-cloud Analytics Market:

  • Cross Marketing, a marketing research business, announced on May 8 that it has entered into a partnership with primeNumber, which provides "trocco," a comprehensive support service for SaaS-type data analysis platforms that provide software via the cloud. By linking with the cloud-based BI (business intelligence) tool "CrossData" provided by Cross Marketing, it is possible to support the visualization of SaaS data all at once.
  • London Stock Exchange Group (LSEG) and Microsoft have forged a new long-term strategic collaboration aimed at designing LSEG's data infrastructure using the Microsoft Cloud. Additionally, the two entities will collaborate on the creation of innovative data and analytics solutions. This partnership builds upon LSEG's successful integration of Refinitiv and strengthens its standing as a global leader in financial markets infrastructure and data provision.
  • AVEVA, a renowned industrial software provider, known for promoting innovation and sustainability, has unveiled its latest release of AVEVA Predictive Analytics software. This software is specifically designed for predictive monitoring of industrial assets in sectors such as oil and gas, power, chemicals, mining and minerals, and manufacturing. By leveraging this software, industrial operators can optimize the reliability and performance of their assets, while simultaneously enhancing sustainability efforts and boosting workforce productivity.

Segmentation Analysis of the Cross-cloud Analytics Market

By Functionality:

  • Data Integration
  • Data Visualization
  • Predictive Analytics
  • Data Governance

By Deployment Model:

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

By Industry:

  • IT & Telecommunication
  • BFSI
  • Government
  • Healthcare
  • E-commerce
  • Others

By Region:

  • North America
  • Latin America
  • Western Europe
  • Eastern Europe
  • East Asia
  • South Asia Pacific
  • Middle East & Africa

Frequently Asked Questions

What is the Expected Size of the Worldwide Cross-cloud Analytics Market in 2023?

The worldwide cross-cloud analytics market is valued at US$ 8.6 billion in 2023.

Who are the Key Cross-cloud Analytics Industry Players?

Google, Microsoft Corporation and Amazon are leading industry players.

What is the Anticipated Worldwide Cross-cloud Analytics Market Size by 2033?

The cross-cloud analytics market will reach US$ 59.8 billion by 2033.

What are Factors are Uplifting the Sales in the Market?

High demand from end-use industries is expected to propel the growth.

Which is the Key Segment by Functionality in the Market?

Predictive analytics are likely to remain the preferred in the market until 2033.

Table of Content

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand Side Trends

    1.3. Supply Side Trends

    1.4. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Key Market Trends

    3.1. Key Trends Impacting the Market

    3.2. Product Innovation / Development Trends

4. Pricing Analysis

    4.1. Pricing Analysis, By Functionality

        4.1.1. Subscription Pricing Mode

        4.1.2. Perpetual Licensing

    4.2. Average Pricing Analysis Benchmark

5. Global Market Demand (Value in US$ Million) Analysis 2018 to 2022 and forecast, 2023 to 2033

    5.1. Historical Market Value (US$ Million) Analysis, 2018 to 2022

    5.2. Current and Future Market Value (US$ Million) Projections, 2023 to 2033

        5.2.1. Y-o-Y Growth Trend Analysis

        5.2.2. Absolute $ Opportunity Analysis

6. Market Background

    6.1. Macro-Economic Factors

    6.2. Forecast Factors - Relevance & Impact

    6.3. Value Chain

    6.4. COVID-19 Crisis – Impact Assessment

        6.4.1. Current Statistics

        6.4.2. Short-Mid-Long Term Outlook

        6.4.3. Likely Rebound

    6.5. Market Dynamics

        6.5.1. Drivers

        6.5.2. Restraints

        6.5.3. Opportunities

7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Functionality

    7.1. Introduction / Key Findings

    7.2. Historical Market Size (US$ Million) Analysis By Functionality, 2018 to 2022

    7.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Functionality, 2023 to 2033

        7.3.1. Data Integration

        7.3.2. Data Visualization

        7.3.3. Predictive Analytics

        7.3.4. Data Governance

    7.4. Market Attractiveness Analysis By Functionality

8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode

    8.1. Introduction / Key Findings

    8.2. Historical Market Size (US$ Million) Analysis By Deployment Mode, 2018 to 2022

    8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Deployment Mode, 2023 to 2033

        8.3.1. Public Cloud

        8.3.2. Private Cloud

        8.3.3. Hybrid Cloud

    8.4. Market Attractiveness Analysis By Deployment Mode

9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry

    9.1. Introduction / Key Findings

    9.2. Historical Market Size (US$ Million) Analysis By Industry, 2018 to 2022

    9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Industry, 2023 – 2033

        9.3.1. IT & Telecommunication

        9.3.2. BFSI

        9.3.3. Government

        9.3.4. Healthcare

        9.3.5. E-commerce

        9.3.6. Others

    9.4. Market Attractiveness Analysis By Industry

10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region

    10.1. Introduction / Key Findings

    10.2. Historical Market Size (US$ Million) Analysis By Region, 2018 to 2022

    10.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Region, 2023 to 2033

        10.3.1. North America

        10.3.2. Latin America

        10.3.3. Western Europe

        10.3.4. Eastern Europe

        10.3.5. East Asia

        10.3.6. South Asia and Pacific

        10.3.7. Middle East and Africa

    10.4. Market Attractiveness Analysis By Region

11. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    11.1. Introduction

    11.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    11.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        11.3.1. By Functionality

        11.3.2. By Deployment Mode

        11.3.3. By Industry

        11.3.4. By Country

            11.3.4.1. U.S.

            11.3.4.2. Canada

    11.4. Market Attractiveness Analysis

        11.4.1. By Functionality

        11.4.2. By Deployment Mode

        11.4.3. By Industry

        11.4.4. By Country

12. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    12.1. Introduction

    12.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        12.3.1. By Functionality

        12.3.2. By Deployment Mode

        12.3.3. By Industry

        12.3.4. By Country

            12.3.4.1. Brazil

            12.3.4.2. Mexico

            12.3.4.3. Rest of Latin America

    12.4. Market Attractiveness Analysis

        12.4.1. By Functionality

        12.4.2. By Deployment Mode

        12.4.3. By Industry

        12.4.4. By Country

13. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    13.1. Introduction

    13.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        13.3.1. By Functionality

        13.3.2. By Deployment Mode

        13.3.3. By Industry

        13.3.4. By Country

            13.3.4.1. Germany

            13.3.4.2. Italy

            13.3.4.3. France

            13.3.4.4. U.K.

            13.3.4.5. Spain

            13.3.4.6. BENELUX

            13.3.4.7. Nordics

            13.3.4.8. Rest of Western Europe

    13.4. Market Attractiveness Analysis

        13.4.1. By Functionality

        13.4.2. By Deployment Mode

        13.4.3. By Industry

        13.4.4. By Country

14. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    14.1. Introduction

    14.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    14.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        14.3.1. By Functionality

        14.3.2. By Deployment Mode

        14.3.3. By Industry

        14.3.4. By Country

            14.3.4.1. Poland

            14.3.4.2. Hungary

            14.3.4.3. Romania

            14.3.4.4. Rest of Eastern Europe

    14.4. Market Attractiveness Analysis

        14.4.1. By Functionality

        14.4.2. By Deployment Mode

        14.4.3. By Industry

        14.4.4. By Country

15. South Asia & Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    15.1. Introduction

    15.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    15.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        15.3.1. By Functionality

        15.3.2. By Deployment Mode

        15.3.3. By Industry

        15.3.4. By Country

            15.3.4.1. India

            15.3.4.2. Indonesia

            15.3.4.3. Malaysia

            15.3.4.4. Singapore

            15.3.4.5. Australia & New Zealand

            15.3.4.6. Rest of South Asia and Pacific

    15.4. Market Attractiveness Analysis

        15.4.1. By Functionality

        15.4.2. By Deployment Mode

        15.4.3. By Industry

        15.4.4. By Country

16. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    16.1. Introduction

    16.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    16.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        16.3.1. By Functionality

        16.3.2. By Deployment Mode

        16.3.3. By Industry

        16.3.4. By Country

            16.3.4.1. China

            16.3.4.2. Japan

            16.3.4.3. South Korea

    16.4. Market Attractiveness Analysis

        16.4.1. By Functionality

        16.4.2. By Deployment Mode

        16.4.3. By Industry

        16.4.4. By Country

17. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    17.1. Introduction

    17.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    17.3. Current and Future Market Size (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        17.3.1. By Functionality

        17.3.2. By Deployment Mode

        17.3.3. By Industry

        17.3.4. By Country

            17.3.4.1. GCC Countries

            17.3.4.2. Turkey

            17.3.4.3. South Africa

            17.3.4.4. Rest of Middle East and Africa

    17.4. Market Attractiveness Analysis

        17.4.1. By Functionality

        17.4.2. By Deployment Mode

        17.4.3. By Industry

        17.4.4. By Country

18. Key Countries Analysis- Market

    18.1. U.S. Market Analysis

        18.1.1. By Functionality

        18.1.2. By Deployment Mode

        18.1.3. By Industry

    18.2. Canada Market Analysis

        18.2.1. By Functionality

        18.2.2. By Deployment Mode

        18.2.3. By Industry

    18.3. Mexico Market Analysis

        18.3.1. By Functionality

        18.3.2. By Deployment Mode

        18.3.3. By Industry

    18.4. Brazil Market Analysis

        18.4.1. By Functionality

        18.4.2. By Deployment Mode

        18.4.3. By Industry

    18.5. Germany Market Analysis

        18.5.1. By Functionality

        18.5.2. By Deployment Mode

        18.5.3. By Industry

    18.6. Italy Market Analysis

        18.6.1. By Functionality

        18.6.2. By Deployment Mode

        18.6.3. By Industry

    18.7. France Market Analysis

        18.7.1. By Functionality

        18.7.2. By Deployment Mode

        18.7.3. By Industry

    18.8. U.K. Market Analysis

        18.8.1. By Functionality

        18.8.2. By Deployment Mode

        18.8.3. By Industry

    18.9. Spain Market Analysis

        18.9.1. By Functionality

        18.9.2. By Deployment Mode

        18.9.3. By Industry

    18.10. BENELUX Market Analysis

        18.10.1. By Functionality

        18.10.2. By Deployment Mode

        18.10.3. By Industry

    18.11. Poland Cross Cloud Analytics Market Analysis

        18.11.1. By Functionality

        18.11.2. By Deployment Mode

        18.11.3. By Industry

    18.12. Hungary Cross Cloud Analytics Market Analysis

        18.12.1. By Functionality

        18.12.2. By Deployment Mode

        18.12.3. By Industry

    18.13. Romania Cross Cloud Analytics Market Analysis

        18.13.1. By Functionality

        18.13.2. By Deployment Mode

        18.13.3. By Industry

    18.14. China Market Analysis

        18.14.1. By Functionality

        18.14.2. By Deployment Mode

        18.14.3. By Industry

    18.15. Japan Market Analysis

        18.15.1. By Functionality

        18.15.2. By Deployment Mode

        18.15.3. By Industry

    18.16. South Korea Market Analysis

        18.16.1. By Functionality

        18.16.2. By Deployment Mode

        18.16.3. By Industry

    18.17. India Market Analysis

        18.17.1. By Functionality

        18.17.2. By Deployment Mode

        18.17.3. By Industry

    18.18. Malaysia Market Analysis

        18.18.1. By Functionality

        18.18.2. By Deployment Mode

        18.18.3. By Industry

    18.19. Indonesia Market Analysis

        18.19.1. By Functionality

        18.19.2. By Deployment Mode

        18.19.3. By Industry

    18.20. Singapore Market Analysis

        18.20.1. By Functionality

        18.20.2. By Deployment Mode

        18.20.3. By Industry

    18.21. Australia and New Zealand Market Analysis

        18.21.1. By Functionality

        18.21.2. By Deployment Mode

        18.21.3. By Industry

    18.22. GCC Countries Market Analysis

        18.22.1. By Functionality

        18.22.2. By Deployment Mode

        18.22.3. By Industry

    18.23. Turkey Market Analysis

        18.23.1. By Functionality

        18.23.2. By Deployment Mode

        18.23.3. By Industry

    18.24. South Africa Market Analysis

        18.24.1. By Functionality

        18.24.2. By Deployment Mode

        18.24.3. By Industry

    18.25. Rest of Middle East and Africa Market Analysis

        18.25.1. By Functionality

        18.25.2. By Deployment Mode

        18.25.3. By Industry

19. Market Structure Analysis

    19.1. Market Analysis by Tier of Companies

    19.2. Market Share Analysis of Top Players

    19.3. Market Presence Analysis

20. Competition Analysis

    20.1. Competition Dashboard

    20.2. Competition Benchmarking

    20.3. Competition Deep Dive

        20.3.1. Google

            20.3.1.1. Business Overview

            20.3.1.2. Solution Portfolio

            20.3.1.3. Profitability by Market Segments (Business Segments/Region)

            20.3.1.4. Key Strategy & Developments

        20.3.2. Microsoft Corporation

            20.3.2.1. Business Overview

            20.3.2.2. Solution Portfolio

            20.3.2.3. Profitability by Market Segments (Business Segments/Region)

            20.3.2.4. Key Strategy & Developments

        20.3.3. Amazon

            20.3.3.1. Business Overview

            20.3.3.2. Solution Portfolio

            20.3.3.3. Profitability by Market Segments (Business Segments/Region)

            20.3.3.4. Key Strategy & Developments

        20.3.4. IBM Corporation

            20.3.4.1. Business Overview

            20.3.4.2. Solution Portfolio

            20.3.4.3. Profitability by Market Segments (Business Segments/Region)

            20.3.4.4. Key Strategy & Developments

        20.3.5. Oracle

            20.3.5.1. Business Overview

            20.3.5.2. Solution Portfolio

            20.3.5.3. Profitability by Market Segments (Business Segments/Region)

            20.3.5.4. Key Strategy & Developments

        20.3.6. Snowflake

            20.3.6.1. Business Overview

            20.3.6.2. Solution Portfolio

            20.3.6.3. Profitability by Market Segments (Business Segments/Region)

            20.3.6.4. Key Strategy & Developments

        20.3.7. Talend

            20.3.7.1. Business Overview

            20.3.7.2. Solution Portfolio

            20.3.7.3. Profitability by Market Segments (Business Segments/Region)

            20.3.7.4. Key Strategy & Developments

        20.3.8. Databricks

            20.3.8.1. Business Overview

            20.3.8.2. Solution Portfolio

            20.3.8.3. Profitability by Market Segments (Business Segments/Region)

            20.3.8.4. Key Strategy & Developments

        20.3.9. Teradata

            20.3.9.1. Business Overview

            20.3.9.2. Solution Portfolio

            20.3.9.3. Profitability by Market Segments (Business Segments/Region)

            20.3.9.4. Key Strategy & Developments

        20.3.10. Salesforce

            20.3.10.1. Business Overview

            20.3.10.2. Solution Portfolio

            20.3.10.3. Profitability by Market Segments (Business Segments/Region)

            20.3.10.4. Key Strategy & Developments

        20.3.11. Aveva

            20.3.11.1. Business Overview

            20.3.11.2. Solution Portfolio

            20.3.11.3. Profitability by Market Segments (Business Segments/Region)

            20.3.11.4. Key Strategy & Developments

21. Assumptions and Acronyms Used

22. Research Methodology

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