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As per Intent Market Research, the Cloud Analytics Market was valued at USD 32.7 billion in 2023 and will surpass USD 113.1 billion by 2030; growing at a CAGR of 19.4% during 2024 - 2030.
The cloud analytics market is rapidly evolving, driven by the increasing adoption of cloud computing and the need for real-time, data-driven decision-making. With advancements in AI, machine learning, and big data, cloud analytics is empowering businesses to unlock actionable insights while reducing infrastructure costs. Organizations across diverse industries are leveraging cloud analytics solutions to optimize operations, enhance customer experiences, and maintain a competitive edge.
The Business Intelligence (BI) tools segment dominates the cloud analytics market due to its ability to provide real-time insights, enabling organizations to make data-driven decisions. BI tools are widely adopted across industries like retail, BFSI, and healthcare, where operational efficiency and customer analytics are critical.
The growing emphasis on data visualization and self-service analytics has fueled demand for BI tools, which integrate seamlessly with cloud platforms. Their versatility and scalability make them the preferred choice for enterprises aiming to democratize data access across teams, fostering a culture of analytics-driven decision-making.
The hybrid cloud deployment model is experiencing the fastest growth as organizations seek the flexibility of public clouds while maintaining the security of private infrastructures. This model allows businesses to optimize costs and adhere to regulatory requirements by selectively managing sensitive data on private servers.
Industries like BFSI and healthcare are particularly inclined toward hybrid solutions due to stringent compliance norms. The growing trend of digital transformation and increasing adoption of hybrid IT strategies by enterprises are major contributors to the segment’s accelerated growth.
Large enterprises dominate the cloud analytics market, leveraging their financial resources to adopt advanced analytics tools. These organizations often deal with massive data volumes and complex processes, making them early adopters of innovative cloud analytics solutions.
These enterprises are increasingly focusing on customer personalization, operational efficiency, and risk management. Cloud analytics enables them to consolidate data from multiple sources, derive actionable insights, and maintain a competitive advantage in their respective industries.
The retail and e-commerce industry is witnessing unprecedented growth in cloud analytics adoption, driven by the sector's focus on enhancing customer experiences and optimizing supply chain operations. Cloud analytics provides retailers with deep insights into customer preferences, purchasing behaviors, and market trends.
With the rise of omnichannel retailing and personalized marketing, cloud analytics has become indispensable for e-commerce platforms to achieve real-time inventory management and improve conversion rates. The segment’s growth is further bolstered by increased online shopping and advancements in AI-powered analytics.
North America leads the cloud analytics market, attributed to its robust technological infrastructure, high cloud adoption rates, and the presence of key industry players. The region's enterprises are early adopters of innovative solutions, leveraging cloud analytics to gain a competitive edge.
The United States dominates the regional market, driven by strong investments in AI, big data, and IoT technologies. Additionally, government initiatives and policies promoting digital transformation across industries further accelerate the adoption of cloud analytics solutions in the region.
The cloud analytics market is highly competitive, with major players continuously innovating to offer advanced solutions. Companies like Microsoft Corporation, Amazon Web Services (AWS), Google Cloud, and Salesforce are investing in AI and machine learning capabilities to enhance their analytics offerings. Mergers, acquisitions, and partnerships remain key strategies to expand market reach and strengthen portfolios. Emerging players and niche vendors are also making their mark by providing industry-specific analytics solutions tailored to small and medium enterprises.
The competitive landscape is marked by rapid technological advancements, making it imperative for companies to stay ahead through innovation and customer-centric strategies.
Report Features |
Description |
Market Size (2023) |
USD 32.7 Billion |
Forecasted Value (2030) |
USD 113.1 Billion |
CAGR (2024 – 2030) |
19.4% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Cloud Analytics Market by Solution Type (Business Intelligence (BI) Tools, Enterprise Performance Management (EPM), Data Warehousing Solutions, Predictive and Advanced Analytics), Deployment Mode (Public Cloud, Private Cloud, Hybrid Cloud), Organization Size (Small and Medium-Sized Enterprises (SMEs), Large Enterprises), End-User Industry (BFSI, Retail and E-Commerce, Healthcare, IT and Telecom, Manufacturing, Government and Public Sector, Media and Entertainment) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
Major Companies |
Microsoft Corporation, Amazon Web Services (AWS), IBM Corporation, Google Cloud, Oracle Corporation, SAP SE, Salesforce.com, Inc., Tableau Software (a Salesforce company), SAS Institute Inc., Teradata Corporation, Qlik Technologies, Alteryx, Inc., MicroStrategy Incorporated, Informatica LLC, TIBCO Software Inc. |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3. Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Cloud Analytics Market, by Solution Type (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Business Intelligence (BI) Tools |
4.2. Enterprise Performance Management (EPM) |
4.3. Data Warehousing Solutions |
4.4. Predictive and Advanced Analytics |
4.5. Others |
5. Cloud Analytics Market, by Deployment Mode (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. Public Cloud |
5.2. Private Cloud |
5.3. Hybrid Cloud |
6. Cloud Analytics Market, by Organization Size (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Small and Medium-Sized Enterprises (SMEs) |
6.2. Large Enterprises |
7. Cloud Analytics Market, by End-User Industry (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. BFSI |
7.2. Retail and E-commerce |
7.3. Healthcare |
7.4. IT and Telecom |
7.5. Manufacturing |
7.6. Government and Public Sector |
7.7. Media and Entertainment |
7.8. Others |
8. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
8.1. Regional Overview |
8.2. North America |
8.2.1. Regional Trends & Growth Drivers |
8.2.2. Barriers & Challenges |
8.2.3. Opportunities |
8.2.4. Factor Impact Analysis |
8.2.5. Technology Trends |
8.2.6. North America Cloud Analytics Market, by Solution Type |
8.2.7. North America Cloud Analytics Market, by Deployment Mode |
8.2.8. North America Cloud Analytics Market, by Organization Size |
8.2.9. North America Cloud Analytics Market, by End-User Industry |
8.2.10. By Country |
8.2.10.1. US |
8.2.10.1.1. US Cloud Analytics Market, by Solution Type |
8.2.10.1.2. US Cloud Analytics Market, by Deployment Mode |
8.2.10.1.3. US Cloud Analytics Market, by Organization Size |
8.2.10.1.4. US Cloud Analytics Market, by End-User Industry |
8.2.10.2. Canada |
8.2.10.3. Mexico |
*Similar segmentation will be provided for each region and country |
8.3. Europe |
8.4. Asia-Pacific |
8.5. Latin America |
8.6. Middle East & Africa |
9. Competitive Landscape |
9.1. Overview of the Key Players |
9.2. Competitive Ecosystem |
9.2.1. Level of Fragmentation |
9.2.2. Market Consolidation |
9.2.3. Product Innovation |
9.3. Company Share Analysis |
9.4. Company Benchmarking Matrix |
9.4.1. Strategic Overview |
9.4.2. Product Innovations |
9.5. Start-up Ecosystem |
9.6. Strategic Competitive Insights/ Customer Imperatives |
9.7. ESG Matrix/ Sustainability Matrix |
9.8. Manufacturing Network |
9.8.1. Locations |
9.8.2. Supply Chain and Logistics |
9.8.3. Product Flexibility/Customization |
9.8.4. Digital Transformation and Connectivity |
9.8.5. Environmental and Regulatory Compliance |
9.9. Technology Readiness Level Matrix |
9.10. Technology Maturity Curve |
9.11. Buying Criteria |
10. Company Profiles |
10.1. Microsoft Corporation |
10.1.1. Company Overview |
10.1.2. Company Financials |
10.1.3. Product/Service Portfolio |
10.1.4. Recent Developments |
10.1.5. IMR Analysis |
*Similar information will be provided for other companies |
10.2. Amazon Web Services (AWS) |
10.3. IBM Corporation |
10.4. Google Cloud |
10.5. Oracle Corporation |
10.6. SAP SE |
10.7. Salesforce.com, Inc. |
10.8. Tableau Software (a Salesforce company) |
10.9. SAS Institute Inc. |
10.10. Teradata Corporation |
10.11. Qlik Technologies |
10.12. Alteryx, Inc. |
10.13. MicroStrategy Incorporated |
10.14. Informatica LLC |
10.15. TIBCO Software Inc. |
11. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Cloud Analytics Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Cloud Analytics Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Cloud Analytics ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Cloud Analytics Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.