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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), and Region: Global Insights & Forecast (2024–2030)

Published: December, 2024  
|   Report ID: TMT4988  
|   Technology, Media, and Telecommunications

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.

Business Intelligence (BI) Tools Segment Is Largest Owing to Widespread Adoption

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.

Cloud Analytics Market size

Hybrid Cloud Segment Is Fastest Growing Owing to Flexibility and Security

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 Segment Leads Due to High Investment Capabilities

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.

Retail and E-Commerce Segment Is Fastest Growing Due to Digital Transformation

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 Is Largest Owing to Technological Advancements

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.

Cloud Analytics Market share by region

Competitive Landscape

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.

Recent Developments:

  • Microsoft launched AI-powered features for Azure Synapse, improving predictive analytics capabilities for enterprise users.
  • Google Cloud completed the acquisition of Looker to bolster its data analytics and visualization offerings.
  • AWS enhanced QuickSight with real-time analytics capabilities, targeting businesses in the e-commerce and logistics sectors.
  • Salesforce added AI-powered insights to Tableau, making data visualization more intuitive for non-technical users.
  • IBM and Red Hat announced a collaboration to optimize hybrid cloud analytics for enterprises, enhancing security and scalability.

List of Leading 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.

Report Scope:

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

 

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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.

Research Approach - Cloud Analytics Market

Secondary Research

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

Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Cloud Analytics ecosystem. The primary research objectives included:

  • Validating findings and assumptions derived from secondary research
  • Gathering qualitative and quantitative data on market trends, drivers, and challenges
  • Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
  • Assessing the supply-side landscape, including technological advancements and recent developments

Market Size Assessment

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:

  1. Identification of key industry players and relevant revenues through extensive secondary research
  2. Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
  3. Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources

Bottom Up and Top Down - Cloud Analytics Market

Data Triangulation

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.

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