세계의 AaaS(Analytics as a Service) 시장 평가, 유형별, 기업 규모별, 최종사용자 산업별, 지역별, 기회 및 예측(2018-2032년)

Global analytics as a service market is projected to witness a CAGR of 17.61% during the forecast period 2025-2032, growing from USD 14.11 billion in 2024 to USD 51.65 billion in 2032. The global analytics as a service market is currently experiencing strong expansion because of the growing requirement for real-time data interpretation and the rising adoption of cloud services, increasing use of big data with AI technologies and the rise in necessity for flexible analytics solutions throughout multiple business sectors.

The global analytics as a service (AaaS) market is expanding as companies are increasingly looking to cloud-based tools that can help them make sense of and act based on all of that data. Now, instead of constructing complex analytics systems themselves, businesses can increasingly tap into those computing systems online, which results in saving time and money. This service makes it easier for companies to analyze swaths of data to uncover patterns, make smarter decisions and improve performance, driving the global market demand for AaaS. In addition, the demand for such services has been rising with more companies using tools such as artificial intelligence, machine learning and big data. Industries such as banking, healthcare, retail and manufacturing use analytics as a service to enhance customer service, reduce costs and get a leg up on the competition, surging AaaS adoption. Even small and medium-sized businesses are emerging as winners, as they are now able to utilize the advanced tools that were once only available to large companies.

For example, in May 2023, Gurucul Solutions Inc. released its Security Analytics and Operations platform on the Snowflake Data Cloud, which, among other features, offered customers Next-Gen SIEM, Open XDR, UEBA and Identity Analytics.

Increasing Use of Cloud Computing Influencing Global Analytics as a Service Market

The increasing demand for cloud-based analytics due to cloud adoption in various industries is one of the major factors driving the analytics as a service market. Cloud-based platforms enable companies to store, access, and manage vast amounts of data without costly infrastructure investment. AaaS solutions are cloud-based, providing the benefits of flexibility, scalability and cost savings, which further drives global analytics as a service market growth in the forecast period. This model allows organizations to pay for only what is consumed, making advanced analytics available even to small and medium enterprises. Moreover, the cloud also makes it easier to bring existing systems closer, enables real-time data availability and interaction across various departments. As organizations continue to move to hybrid and multi-cloud operations, demand for analytics that work within these environments will continue to grow. The cloud also allows for quicker rolling out of services and updates, enabling businesses to keep pace in fast-moving markets. So, the combination of cloud computing and analytics is a significant driving force for market growth.

For example, in February 2025, Salesforce, Inc. signed a seven-year USD 2.5 billion strategic partnerships with Google LLC. The partnership is designed to help bring the power of Google Cloud's scalable infrastructure to Salesforce's CRM system in more advanced, cloud-based products. That partnership illustrated how the cloud is becoming the epicenter for intelligent, flexible and on-demand analytics services to support business needs.

Increased Demand for Data-Driven Decision-Making Proliferating the Analytics as a Service Market

Data-driven decision-making represents a key element that pushes the market forward. Organizations need sophisticated tools to extract valuable insights that drive strategic decisions because data volumes from different platforms, such as websites, mobile apps, IoT devices and social media platforms, are rapidly expanding. Analytics as a service delivers operational intelligence, which helps businesses to make decisions without building their analytics infrastructure, which is cost-effective. Businesses apply these insights to enhance their customer experiences and optimize their supply chains and forecast trends while managing risks more effectively. Business entities that operate in competitive markets must base their timely decisions on precise data to achieve growth instead of experiencing decline. Business leaders, along with their management teams, depend on dashboards with predictive models and performance reports as essential tools to direct their business operations. Companies focused on improving efficiency and innovation while minimizing uncertainty are rapidly adopting analytics as a service because evidence-based decision making drives their operations. Digital transformation will continue to propel this trend forward in the coming years.

For instance, in June 2024, Tenable Holdings, Inc. teamed up with Deloitte Touche Tohmatsu Limited to help customers and management. The alliance brings together Tenable's Exposure Management Platform, consisting of Tenable Cloud Security and Tenable OT Security, and Deloitte's cybersecurity portfolio. This partnership provides customers with improved transparency and risk-based, data-driven prioritization on their digital and operational technologies.

Banking, Financial Services, and Insurance (BFSI) holds Largest Global Market Share

Banking, Financial Services, and Insurance (BFSI) end-user segment has the highest global analytics as a service market share, as it functions mainly on data-driven decisions and operational models. Banks process substantial amounts of structured and unstructured data each day, which includes transaction data and risk scoring. They use analytics as a service to have real-time fraud detection, credit risk monitoring, cloud-based products personalization and real-time regulatory compliance. Banks use predictive analytics to predict market trends and to enhance investment strategies. Furthermore, the growing digital banking transformation, including online banking, mobile apps, and digital payments, also stimulates the demand for scalable analytical solutions. With the growing competition, BFSI organizations are focusing on customer insights, operational efficiency, and data security with the help of cloud-based advanced analytics solutions. This continued need is what has made BFSI the largest end-user segment in this market.

For instance, in April 2024, Cisco Systems, Inc. introduced Hypershield to serve the BFSI sector by protecting virtual machines and Kubernetes clusters with integrated security. Powered by eBPF technology, the solution enables real-time threat detection and compliance across clouds. It is also in line with the increasing demand for secure and scalable digital infrastructure by the BFSI vertical, which further validates their status as one of the largest consumers of advanced analytics and cloud-based security programs.

North America Dominates Global Analytics as a Service Market Size

North America holds the largest share in global analytics as a service market due to high innovation of digital technology, early adoption of digital technology, and the presence of large market players in the region. The United States and Canada are among the leading countries in cloud computing, big data and artificial intelligence impact analytics are based on these central technologies. Organizations across sectors such as BFSI, healthcare, retail, and IT in this region rely heavily on data-driven insights to enhance customer experience, improve operations, and maintain competitiveness. Since the North American companies have a large budget for their IT and analytics area, it is helping the rapid uptake of analytics as a service solution. It is the area that enjoys a developed regulatory environment and a degree of skill in the workforce, helping the rollout and integration of analytics solutions. Additionally, with giants operating in the region, innovation is quickened, and North America strengthens its leading position in this industry.

For instance, in January 2024, McAfee, LLC, a device-to-cloud cybersecurity company, launched an AI-based software, "Project Mockingbird," to find that they had manipulated audio files. This is a behavioral, categorical and contextual analysis approach for stopping the increasing threat of deepfake audio and another sign of the shift towards more sophisticated analytics-based cybersecurity.

Impact of U.S. Tariffs on Global Analytics as a Service Market

U.S. tariffs, especially on tech imports, could increase the costs for infrastructure supporting analytics as a service, including servers and networking gear. This results in higher service prices or slower adoption, particularly for global vendors with international supply chains. Tariffs may also strain U.S. relationships with countries such as China, impacting cooperation and the exchange of data. Cloud-based analytics are less hardware dependent, but long-term trade barriers may impact service.

Key Players Landscape and Outlook

The global analytics as a service market is characterized by the dominance of leading technology vendors, which is leading to innovation in services, cost competitiveness, and scalability. These leaders help shape the market with their comprehensive analytics functionality, from descriptive analytics to predictive analytics to AI-driven insights, available across cloud platforms. Their R&D, global infrastructure, and strategic partnerships mean the uptake of analytics services is racing ahead in all sectors. The market itself is more competitive, as while this is happening, there is an explosion of modern technology, companies becoming smarter and integrating AI and machine learning, and a growing emphasis on data privacy and compliance. This dynamic market evolution is propelling the market toward increasingly tailored, real-time and industry-specific solutions. Further down the road, the ongoing development of analytics tools and further penetration in developing markets promise fresh areas of growth. The market will continue to be competitive, innovative-led, and influenced by the drive towards scalable, low-cost, and high-performance technologies.

For example, in August 2024, the company Fortinet, Inc., known for providing cybersecurity, acquired Next DLP, which deals with insider threats and data security. This adds to Fortinet's own native security platform with advanced data loss prevention (DLP) functionality. This allowed the company to sell more substantial analytics-based security products.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

• 5.1. Respondent Demographics
• 5.2. Brand Awareness
• 5.3. Factors Considered in Purchase Decisions
• 5.4. Challenges Faced Post Purchase

6. Global Analytics as a Service Market Outlook, 2018-2032F

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Type
    • 6.2.1.1. Predictive Analytics
    • 6.2.1.2. Prescriptive Analytics
    • 6.2.1.3. Diagnostic Analytics
    • 6.2.1.4. Descriptive Analytics
  • 6.2.2. By Enterprise Size
    • 6.2.2.1. Small and Medium Enterprises (SMEs)
    • 6.2.2.2. Large Enterprises
  • 6.2.3. By End-user Industry
    • 6.2.3.1. BFSI
    • 6.2.3.2. Retail and E-Commerce
    • 6.2.3.3. IT and Telecom
    • 6.2.3.4. Healthcare
    • 6.2.3.5. Others
  • 6.2.4. By Region
    • 6.2.4.1. North America
    • 6.2.4.2. Europe
    • 6.2.4.3. Asia-Pacific
    • 6.2.4.4. South America
    • 6.2.4.5. Middle East and Africa
  • 6.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 6.3. Market Map Analysis, 2024
  • 6.3.1. By Type
  • 6.3.2. By Enterprise Size
  • 6.3.3. By End-user Industry
  • 6.3.4. By Region

7. North America Analytics as a Service Market Outlook, 2018-2032F

• 7.1. Market Size Analysis & Forecast
  • 7.1.1. By Value
• 7.2. Market Share Analysis & Forecast
  • 7.2.1. By Type
    • 7.2.1.1. Predictive Analytics
    • 7.2.1.2. Prescriptive Analytics
    • 7.2.1.3. Diagnostic Analytics
    • 7.2.1.4. Descriptive Analytics
  • 7.2.2. By Enterprise Size
    • 7.2.2.1. Small and Medium Enterprises (SMEs)
    • 7.2.2.2. Large Enterprises
  • 7.2.3. By End-user Industry
    • 7.2.3.1. BFSI
    • 7.2.3.2. Retail and E-Commerce
    • 7.2.3.3. IT and Telecom
    • 7.2.3.4. Healthcare
    • 7.2.3.5. Others
  • 7.2.4. By Country
    • 7.2.4.1. United States
    • 7.2.4.2. Canada
    • 7.2.4.3. Mexico
• 7.3. Country Market Assessment
  • 7.3.1. United States Analytics as a Service Market Outlook, 2018-2032F
    • 7.3.1.1. Market Size Analysis & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share Analysis & Forecast
      • 7.3.1.2.1. By Type
        • 7.3.1.2.1.1. Predictive Analytics
        • 7.3.1.2.1.2. Prescriptive Analytics
        • 7.3.1.2.1.3. Diagnostic Analytics
        • 7.3.1.2.1.4. Descriptive Analytics
      • 7.3.1.2.2. By Enterprise Size
        • 7.3.1.2.2.1. Small and Medium Enterprises (SMEs)
        • 7.3.1.2.2.2. Large Enterprises
      • 7.3.1.2.3. By End-user Industry
        • 7.3.1.2.3.1. BFSI
        • 7.3.1.2.3.2. Retail and E-Commerce
        • 7.3.1.2.3.3. IT and Telecom
        • 7.3.1.2.3.4. Healthcare
        • 7.3.1.2.3.5. Others

All segments will be provided for all regions and countries covered

8. Europe Analytics as a Service Market Outlook, 2018-2032F

• 8.1. Germany
• 8.2. France
• 8.3. Italy
• 8.4. United Kingdom
• 8.5. Russia
• 8.6. Netherlands
• 8.7. Spain
• 8.8. Turkey
• 8.9. Poland

9. Asia-Pacific Analytics as a Service Market Outlook, 2018-2032F

• 9.1. India
• 9.2. China
• 9.3. Japan
• 9.4. Australia
• 9.5. Vietnam
• 9.6. South Korea
• 9.7. Indonesia
• 9.8. Philippines

10. South America Analytics as a Service Market Outlook, 2018-2032F

• 10.1. Brazil
• 10.2. Argentina

11. Middle East and Africa Analytics as a Service Market Outlook, 2018-2032F

• 11.1. Saudi Arabia
• 11.2. UAE
• 11.3. South Africa

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

• 14.1. Market Drivers
• 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

• 17.1. Competition Matrix of Top 5 Market Leaders
• 17.2. SWOT Analysis for Top 5 Players
• 17.3. Key Players Landscape for Top 10 Market Players
  • 17.3.1. Cloud Software Group, Inc.
    • 17.3.1.1. Company Details
    • 17.3.1.2. Key Management Personnel
    • 17.3.1.3. Key Products/Services Offered
    • 17.3.1.4. Key Financials (As Reported)
    • 17.3.1.5. Key Market Focus and Geographical Presence
    • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 17.3.2. SAS Institute Inc.
  • 17.3.3. SAP SE
  • 17.3.4. Oracle Corporation
  • 17.3.5. Microsoft Corporation
  • 17.3.6. IBM Corporation
  • 17.3.7. Salesforce.com, inc.
  • 17.3.8. Teradata Corporation
  • 17.3.9. Google LLC
  • 17.3.10. GoodData Corporation

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer