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:
Challenges for Companies /Manufacturers in the Cross-cloud Analytics Market:
Opportunities in the Cross-cloud Analytics Industry:
Latest Trends in the Cross-cloud Analytics Market:
| 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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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.
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.
Principal Consultant
| 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:
| 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.
| 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.
| 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.
| 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.
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.
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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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
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.
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.
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.
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
Key Developments in the Cross-cloud Analytics Market:
The worldwide cross-cloud analytics market is valued at US$ 8.6 billion in 2023.
Google, Microsoft Corporation and Amazon are leading industry players.
The cross-cloud analytics market will reach US$ 59.8 billion by 2033.
High demand from end-use industries is expected to propel the growth.
Predictive analytics are likely to remain the preferred in the market until 2033.
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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Cross-cloud Analytics Market
