Analytics-as-a-Service Market by Industry Vertical (Bfsi, Energy & Utilities, Government & Defense), Deployment Mode (Hybrid Cloud, Private Cloud, Public Cloud), Organization Size, Analytics Type, Pricing Model, End User, Data Type - Global Forecast 2025-
Description
The Analytics-as-a-Service Market was valued at USD 20.82 billion in 2024 and is projected to grow to USD 26.76 billion in 2025, with a CAGR of 27.92%, reaching USD 149.32 billion by 2032.
Setting a Comprehensive Framework for Analytics-as-a-Service Challenges and Opportunities in the Age of Data-Driven Digital Transformation
Organizations across every sector are embracing analytics-as-a-service as a fundamental pillar of their digital transformation strategy. The convergence of scalable cloud platforms, advanced algorithms, and ubiquitous data sources is creating new opportunities to generate actionable intelligence at unprecedented speed. This shift is not merely technological-it is organizational and strategic, requiring leaders to align data initiatives with corporate vision and stakeholder expectations.
As real-time insights and predictive capabilities become table stakes, enterprises must navigate an increasingly complex ecosystem of solutions providers, compliance frameworks, and integration demands. In this context, an executive summary that presents a clear, concise, and structured roadmap enables decision-makers to understand market dynamics and determine where to focus their resources for maximum impact. By laying out the key drivers, challenges, and opportunities in a connected narrative, this introduction sets the stage for a deeper exploration of how analytics-as-a-service will continue to reshape competitive advantage.
Uncovering the Disruptive Forces Reshaping Analytics-as-a-Service from Cloud-Native Innovations to Augmented Intelligence Integration across Industries
The analytics-as-a-service landscape has undergone transformative shifts as cloud-native architectures matured and data management best practices evolved. The transition from on-premise data warehouses to hybrid and public cloud models has dramatically reduced deployment timelines, enabling organizations to experiment with advanced analytics without large upfront infrastructural commitments. Simultaneously, the embedding of artificial intelligence and machine learning capabilities into service platforms has elevated outcomes from descriptive dashboards to prescriptive and autonomous decision engines.
Beyond technology, new regulations around privacy and data sovereignty have prompted the development of secure, compliant service offerings that balance agility with governance. Edge computing has emerged to address latency and bandwidth constraints, especially in industries where split-second analysis determines operational safety and productivity. These interconnected developments underscore the dynamic nature of the market, compelling business and technology leaders to continuously adapt to a more distributed and intelligent analytics environment.
Analyzing the Far-Reaching Effects of United States Tariff Revisions in 2025 on Global Analytics-as-a-Service Supply Chains and Cost Structures
The introduction of updated tariff measures by the United States in 2025 has introduced a complex layer of cost considerations for providers and consumers of analytics-as-a-service. Imported hardware components and data center equipment now attract higher duties, compelling solution providers to revisit sourcing strategies and reconfigure supply chains to maintain competitive pricing. In turn, enterprises dependent on turnkey analytics platforms are reassessing total cost of ownership projections, factoring in tariff-induced cost escalations for infrastructure maintenance and expansion.
In response, some vendors are accelerating investments in regional data centers to localize operations and mitigate cross-border trade barriers. This shift supports a more resilient ecosystem, though it also raises the importance of interoperability and standardized architectures. Ultimately, the tariff environment has become a catalyst for regional diversification, strategic vendor consolidation, and renewed emphasis on software-defined infrastructure to counterbalance hardware cost volatility.
Deriving Strategic Market Intelligence through Multidimensional Segmentation across Industry Verticals and Deployment Models to Guide Decision-Making
The analytics-as-a-service market reveals differentiated demand patterns when examined through a multidimensional segmentation lens. Industry verticals such as banking, capital markets and insurance illustrate high adoption of predictive and prescriptive analytics driven by stringent regulatory requirements and the need for real-time risk management, while oil and gas operators and power utilities lean toward diagnostic and descriptive analytics to optimize asset performance. Meanwhile, public sector entities at federal and state levels emphasize secure hybrid or private cloud deployments to comply with data sovereignty mandates, whereas healthcare providers, hospitals and pharmaceutical organizations increasingly leverage public cloud services for advanced research workloads.
Variations also emerge across organizational scale, as large enterprises prioritize subscription-based pricing models laden with customization options, while smaller firms often gravitate toward pay-per-use structures to preserve capital flexibility. Descriptive tools address the needs of finance and operations teams managing structured data, yet marketing and HR functions are investing in diagnostic and predictive approaches to extract insights from unstructured social and engagement data. This layered segmentation underscores the imperative for providers to tailor solutions across deployment modalities, enterprise dimensions, analytical complexity and user department needs.
Exploring Regional Variations Influencing Analytics-as-a-Service Adoption and Growth Patterns across the Americas, EMEA, and Asia-Pacific Markets
Regional dynamics play a pivotal role in shaping analytics-as-a-service trajectories. In the Americas, early investments in cloud infrastructure and a mature ecosystem of integrators have driven rapid uptake of advanced analytics capabilities, with both public and hybrid cloud modes thriving. Regulatory shifts such as data protection mandates have prompted U.S. and Canadian enterprises to adopt best-in-class security controls as appended value propositions.
Across Europe, the Middle East and Africa, the landscape is more heterogeneous. Western European countries have accelerated cloud-native adoption to support digital government initiatives, while emerging markets in the region focus initially on basic descriptive and diagnostic services to improve operational efficiency. Political and compliance variability has motivated many organizations to explore private cloud implementations. In Asia-Pacific, strong growth is evident across manufacturing and telecom segments, with a pronounced interest in predictive and prescriptive capabilities to drive innovation. Investment in public cloud capacity and localization efforts by major global providers continue to expand the market footprint in this region.
Evaluating the Competitive Landscape and Strategic Positioning of Leading Analytics-as-a-Service Providers Shaping Market Evolution and Partnerships
Leading providers in the analytics-as-a-service space are distinguished by their cloud infrastructure depth, integrated AI toolkits and partner ecosystems. Several global hyperscale vendors dominate through comprehensive platform offerings that bundle native machine learning modules with data orchestration services and embedded governance frameworks. Specialist analytics firms compete by delivering domain-specific solutions, such as vertical-tailored algorithms for healthcare or finance, supported by consultancy-led implementation practices.
Strategic partnerships between cloud operators, independent software vendors and system integrators are increasingly common, enabling more seamless end-to-end deployments. Collaboration agreements around data sharing, co-innovation labs and joint go-to-market initiatives have become essential differentiators. Meanwhile, open-source communities and new entrants are driving innovation in edge analytics, real-time event processing and low-code model development, challenging established players to accelerate their road maps.
Actionable Strategic Imperatives for Industry Leaders to Enhance Analytics-as-a-Service Offerings and Drive Sustainable Competitive Advantage
Industry leaders seeking to strengthen their analytics-as-a-service offerings should prioritize building flexible deployment frameworks that support hybrid and multi-cloud environments. Developing an integrated ecosystem of technology and services partners will accelerate delivery timelines and improve solution breadth, particularly in regulated industries that require comprehensive compliance capabilities. To catch emerging opportunities, organizations must invest in modular AI and machine learning components that can be easily adapted for new use cases and edge computing scenarios.
Upskilling internal teams through structured training and certification programs remains critical, as does establishing clear governance policies that balance innovation with risk management. Offering an array of pricing options, including both subscription and consumption-based models, can broaden appeal across enterprise sizes. Finally, continuous dialogue with end-user stakeholders in finance, marketing, operations and human resources will ensure that analytics road maps align with business priorities and deliver measurable return on investment.
Adopting a Rigorous Mixed-Method Approach Combining Primary Consultations and Secondary Verifications to Ensure Research Accuracy and Relevance
This research integrates qualitative and quantitative approaches to ensure comprehensive market coverage and analytical rigor. Initial phases involved in-depth conversations with industry executives, data scientists and solution architects to capture firsthand perspectives on market trends, adoption barriers and technology road maps. These primary insights were supplemented by extensive secondary research, including the review of public filings, regulatory announcements and technology white papers.
Quantitative validation was achieved by triangulating data points through a proprietary database of service providers, end-user surveys and transactional analytics. An expert advisory panel reviewed preliminary findings to refine assumptions and confirm emerging patterns. All findings were stress-tested across different scenarios to ensure relevance under varying economic and regulatory conditions. This methodology underpins the report’s credibility and provides a solid foundation for strategic decision-making.
Synthesizing Key Analytical Findings to Emphasize the Critical Role of Analytics-as-a-Service in Accelerating Digital Transformations and Value Creation
The convergence of cloud evolution, AI integration and evolving compliance regimes continues to redefine the analytics-as-a-service market. Organizations that successfully navigate the interplay between cost dynamics, regional complexities and segmentation nuances will unlock substantial value from their data assets. The insights distilled throughout this summary highlight the importance of adaptable architectures, strategic partnerships and a clear governance framework.
By synthesizing segmentation analysis with regional patterns and competitive positioning, stakeholders gain a holistic perspective on market opportunities and threats. The trajectory of this market points toward deeper automation, greater interoperability and increased investment in edge and real-time analytics. As businesses and governments alike accelerate their digital transformation journeys, analytics-as-a-service will remain a cornerstone for achieving agility, resilience and sustained growth.
Market Segmentation & Coverage
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
Industry Vertical
Bfsi
Banking
Capital Markets
Insurance
Energy & Utilities
Oil & Gas
Power
Government & Defense
Federal
State & Local
Healthcare
Healthcare Providers
Hospitals
Pharmaceuticals
It & Telecom
It Services
Telecom Operators
Manufacturing
Discrete
Process
Media & Entertainment
Broadcast
Gaming
Publishing
Transportation & Logistics
Freight
Passenger
Deployment Mode
Hybrid Cloud
Private Cloud
Public Cloud
Organization Size
Large Enterprises
Smes
Analytics Type
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Pricing Model
Pay Per Use
Subscription
End User
Finance
Hr
It
Marketing
Operations
Data Type
Structured Data
Unstructured Data
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
Americas
North America
United States
Canada
Mexico
Latin America
Brazil
Argentina
Chile
Colombia
Peru
Europe, Middle East & Africa
Europe
United Kingdom
Germany
France
Russia
Italy
Spain
Netherlands
Sweden
Poland
Switzerland
Middle East
United Arab Emirates
Saudi Arabia
Qatar
Turkey
Israel
Africa
South Africa
Nigeria
Egypt
Kenya
Asia-Pacific
China
India
Japan
Australia
South Korea
Indonesia
Thailand
Malaysia
Singapore
Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
Google LLC
Microsoft Corporation
Amazon Web Services, Inc.
International Business Machines Corporation
Oracle Corporation
SAP SE
SAS Institute Inc.
Salesforce, Inc.
TIBCO Software Inc.
QlikTech International AB
Please Note: PDF & Excel + Online Access - 1 Year
Setting a Comprehensive Framework for Analytics-as-a-Service Challenges and Opportunities in the Age of Data-Driven Digital Transformation
Organizations across every sector are embracing analytics-as-a-service as a fundamental pillar of their digital transformation strategy. The convergence of scalable cloud platforms, advanced algorithms, and ubiquitous data sources is creating new opportunities to generate actionable intelligence at unprecedented speed. This shift is not merely technological-it is organizational and strategic, requiring leaders to align data initiatives with corporate vision and stakeholder expectations.
As real-time insights and predictive capabilities become table stakes, enterprises must navigate an increasingly complex ecosystem of solutions providers, compliance frameworks, and integration demands. In this context, an executive summary that presents a clear, concise, and structured roadmap enables decision-makers to understand market dynamics and determine where to focus their resources for maximum impact. By laying out the key drivers, challenges, and opportunities in a connected narrative, this introduction sets the stage for a deeper exploration of how analytics-as-a-service will continue to reshape competitive advantage.
Uncovering the Disruptive Forces Reshaping Analytics-as-a-Service from Cloud-Native Innovations to Augmented Intelligence Integration across Industries
The analytics-as-a-service landscape has undergone transformative shifts as cloud-native architectures matured and data management best practices evolved. The transition from on-premise data warehouses to hybrid and public cloud models has dramatically reduced deployment timelines, enabling organizations to experiment with advanced analytics without large upfront infrastructural commitments. Simultaneously, the embedding of artificial intelligence and machine learning capabilities into service platforms has elevated outcomes from descriptive dashboards to prescriptive and autonomous decision engines.
Beyond technology, new regulations around privacy and data sovereignty have prompted the development of secure, compliant service offerings that balance agility with governance. Edge computing has emerged to address latency and bandwidth constraints, especially in industries where split-second analysis determines operational safety and productivity. These interconnected developments underscore the dynamic nature of the market, compelling business and technology leaders to continuously adapt to a more distributed and intelligent analytics environment.
Analyzing the Far-Reaching Effects of United States Tariff Revisions in 2025 on Global Analytics-as-a-Service Supply Chains and Cost Structures
The introduction of updated tariff measures by the United States in 2025 has introduced a complex layer of cost considerations for providers and consumers of analytics-as-a-service. Imported hardware components and data center equipment now attract higher duties, compelling solution providers to revisit sourcing strategies and reconfigure supply chains to maintain competitive pricing. In turn, enterprises dependent on turnkey analytics platforms are reassessing total cost of ownership projections, factoring in tariff-induced cost escalations for infrastructure maintenance and expansion.
In response, some vendors are accelerating investments in regional data centers to localize operations and mitigate cross-border trade barriers. This shift supports a more resilient ecosystem, though it also raises the importance of interoperability and standardized architectures. Ultimately, the tariff environment has become a catalyst for regional diversification, strategic vendor consolidation, and renewed emphasis on software-defined infrastructure to counterbalance hardware cost volatility.
Deriving Strategic Market Intelligence through Multidimensional Segmentation across Industry Verticals and Deployment Models to Guide Decision-Making
The analytics-as-a-service market reveals differentiated demand patterns when examined through a multidimensional segmentation lens. Industry verticals such as banking, capital markets and insurance illustrate high adoption of predictive and prescriptive analytics driven by stringent regulatory requirements and the need for real-time risk management, while oil and gas operators and power utilities lean toward diagnostic and descriptive analytics to optimize asset performance. Meanwhile, public sector entities at federal and state levels emphasize secure hybrid or private cloud deployments to comply with data sovereignty mandates, whereas healthcare providers, hospitals and pharmaceutical organizations increasingly leverage public cloud services for advanced research workloads.
Variations also emerge across organizational scale, as large enterprises prioritize subscription-based pricing models laden with customization options, while smaller firms often gravitate toward pay-per-use structures to preserve capital flexibility. Descriptive tools address the needs of finance and operations teams managing structured data, yet marketing and HR functions are investing in diagnostic and predictive approaches to extract insights from unstructured social and engagement data. This layered segmentation underscores the imperative for providers to tailor solutions across deployment modalities, enterprise dimensions, analytical complexity and user department needs.
Exploring Regional Variations Influencing Analytics-as-a-Service Adoption and Growth Patterns across the Americas, EMEA, and Asia-Pacific Markets
Regional dynamics play a pivotal role in shaping analytics-as-a-service trajectories. In the Americas, early investments in cloud infrastructure and a mature ecosystem of integrators have driven rapid uptake of advanced analytics capabilities, with both public and hybrid cloud modes thriving. Regulatory shifts such as data protection mandates have prompted U.S. and Canadian enterprises to adopt best-in-class security controls as appended value propositions.
Across Europe, the Middle East and Africa, the landscape is more heterogeneous. Western European countries have accelerated cloud-native adoption to support digital government initiatives, while emerging markets in the region focus initially on basic descriptive and diagnostic services to improve operational efficiency. Political and compliance variability has motivated many organizations to explore private cloud implementations. In Asia-Pacific, strong growth is evident across manufacturing and telecom segments, with a pronounced interest in predictive and prescriptive capabilities to drive innovation. Investment in public cloud capacity and localization efforts by major global providers continue to expand the market footprint in this region.
Evaluating the Competitive Landscape and Strategic Positioning of Leading Analytics-as-a-Service Providers Shaping Market Evolution and Partnerships
Leading providers in the analytics-as-a-service space are distinguished by their cloud infrastructure depth, integrated AI toolkits and partner ecosystems. Several global hyperscale vendors dominate through comprehensive platform offerings that bundle native machine learning modules with data orchestration services and embedded governance frameworks. Specialist analytics firms compete by delivering domain-specific solutions, such as vertical-tailored algorithms for healthcare or finance, supported by consultancy-led implementation practices.
Strategic partnerships between cloud operators, independent software vendors and system integrators are increasingly common, enabling more seamless end-to-end deployments. Collaboration agreements around data sharing, co-innovation labs and joint go-to-market initiatives have become essential differentiators. Meanwhile, open-source communities and new entrants are driving innovation in edge analytics, real-time event processing and low-code model development, challenging established players to accelerate their road maps.
Actionable Strategic Imperatives for Industry Leaders to Enhance Analytics-as-a-Service Offerings and Drive Sustainable Competitive Advantage
Industry leaders seeking to strengthen their analytics-as-a-service offerings should prioritize building flexible deployment frameworks that support hybrid and multi-cloud environments. Developing an integrated ecosystem of technology and services partners will accelerate delivery timelines and improve solution breadth, particularly in regulated industries that require comprehensive compliance capabilities. To catch emerging opportunities, organizations must invest in modular AI and machine learning components that can be easily adapted for new use cases and edge computing scenarios.
Upskilling internal teams through structured training and certification programs remains critical, as does establishing clear governance policies that balance innovation with risk management. Offering an array of pricing options, including both subscription and consumption-based models, can broaden appeal across enterprise sizes. Finally, continuous dialogue with end-user stakeholders in finance, marketing, operations and human resources will ensure that analytics road maps align with business priorities and deliver measurable return on investment.
Adopting a Rigorous Mixed-Method Approach Combining Primary Consultations and Secondary Verifications to Ensure Research Accuracy and Relevance
This research integrates qualitative and quantitative approaches to ensure comprehensive market coverage and analytical rigor. Initial phases involved in-depth conversations with industry executives, data scientists and solution architects to capture firsthand perspectives on market trends, adoption barriers and technology road maps. These primary insights were supplemented by extensive secondary research, including the review of public filings, regulatory announcements and technology white papers.
Quantitative validation was achieved by triangulating data points through a proprietary database of service providers, end-user surveys and transactional analytics. An expert advisory panel reviewed preliminary findings to refine assumptions and confirm emerging patterns. All findings were stress-tested across different scenarios to ensure relevance under varying economic and regulatory conditions. This methodology underpins the report’s credibility and provides a solid foundation for strategic decision-making.
Synthesizing Key Analytical Findings to Emphasize the Critical Role of Analytics-as-a-Service in Accelerating Digital Transformations and Value Creation
The convergence of cloud evolution, AI integration and evolving compliance regimes continues to redefine the analytics-as-a-service market. Organizations that successfully navigate the interplay between cost dynamics, regional complexities and segmentation nuances will unlock substantial value from their data assets. The insights distilled throughout this summary highlight the importance of adaptable architectures, strategic partnerships and a clear governance framework.
By synthesizing segmentation analysis with regional patterns and competitive positioning, stakeholders gain a holistic perspective on market opportunities and threats. The trajectory of this market points toward deeper automation, greater interoperability and increased investment in edge and real-time analytics. As businesses and governments alike accelerate their digital transformation journeys, analytics-as-a-service will remain a cornerstone for achieving agility, resilience and sustained growth.
Market Segmentation & Coverage
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
Industry Vertical
Bfsi
Banking
Capital Markets
Insurance
Energy & Utilities
Oil & Gas
Power
Government & Defense
Federal
State & Local
Healthcare
Healthcare Providers
Hospitals
Pharmaceuticals
It & Telecom
It Services
Telecom Operators
Manufacturing
Discrete
Process
Media & Entertainment
Broadcast
Gaming
Publishing
Transportation & Logistics
Freight
Passenger
Deployment Mode
Hybrid Cloud
Private Cloud
Public Cloud
Organization Size
Large Enterprises
Smes
Analytics Type
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Pricing Model
Pay Per Use
Subscription
End User
Finance
Hr
It
Marketing
Operations
Data Type
Structured Data
Unstructured Data
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
Americas
North America
United States
Canada
Mexico
Latin America
Brazil
Argentina
Chile
Colombia
Peru
Europe, Middle East & Africa
Europe
United Kingdom
Germany
France
Russia
Italy
Spain
Netherlands
Sweden
Poland
Switzerland
Middle East
United Arab Emirates
Saudi Arabia
Qatar
Turkey
Israel
Africa
South Africa
Nigeria
Egypt
Kenya
Asia-Pacific
China
India
Japan
Australia
South Korea
Indonesia
Thailand
Malaysia
Singapore
Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
Google LLC
Microsoft Corporation
Amazon Web Services, Inc.
International Business Machines Corporation
Oracle Corporation
SAP SE
SAS Institute Inc.
Salesforce, Inc.
TIBCO Software Inc.
QlikTech International AB
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
181 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Rapid adoption of cloud-native analytics pipelines enabling real-time decision-making across distributed teams
- 5.2. Integration of automated machine learning workflows within analytics-as-a-service platforms driving faster insights
- 5.3. Increasing demand for embedded analytics capabilities in SaaS applications to enhance user-centric data visualization
- 5.4. Stringent data privacy and compliance standards shaping the adoption of managed analytics-as-a-service solutions
- 5.5. Growth of subscription-based pricing models with pay-as-you-go options for small and midsize businesses in analytics
- 5.6. Advanced natural language processing interfaces empowering nontechnical users to interact with analytics platforms intuitively
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Analytics-as-a-Service Market, by Industry Vertical
- 8.1. Bfsi
- 8.1.1. Banking
- 8.1.2. Capital Markets
- 8.1.3. Insurance
- 8.2. Energy & Utilities
- 8.2.1. Oil & Gas
- 8.2.2. Power
- 8.3. Government & Defense
- 8.3.1. Federal
- 8.3.2. State & Local
- 8.4. Healthcare
- 8.4.1. Healthcare Providers
- 8.4.2. Hospitals
- 8.4.3. Pharmaceuticals
- 8.5. It & Telecom
- 8.5.1. It Services
- 8.5.2. Telecom Operators
- 8.6. Manufacturing
- 8.6.1. Discrete
- 8.6.2. Process
- 8.7. Media & Entertainment
- 8.7.1. Broadcast
- 8.7.2. Gaming
- 8.7.3. Publishing
- 8.8. Transportation & Logistics
- 8.8.1. Freight
- 8.8.2. Passenger
- 9. Analytics-as-a-Service Market, by Deployment Mode
- 9.1. Hybrid Cloud
- 9.2. Private Cloud
- 9.3. Public Cloud
- 10. Analytics-as-a-Service Market, by Organization Size
- 10.1. Large Enterprises
- 10.2. Smes
- 11. Analytics-as-a-Service Market, by Analytics Type
- 11.1. Descriptive Analytics
- 11.2. Diagnostic Analytics
- 11.3. Predictive Analytics
- 11.4. Prescriptive Analytics
- 12. Analytics-as-a-Service Market, by Pricing Model
- 12.1. Pay Per Use
- 12.2. Subscription
- 13. Analytics-as-a-Service Market, by End User
- 13.1. Finance
- 13.2. Hr
- 13.3. It
- 13.4. Marketing
- 13.5. Operations
- 14. Analytics-as-a-Service Market, by Data Type
- 14.1. Structured Data
- 14.2. Unstructured Data
- 15. Analytics-as-a-Service Market, by Region
- 15.1. Americas
- 15.1.1. North America
- 15.1.2. Latin America
- 15.2. Europe, Middle East & Africa
- 15.2.1. Europe
- 15.2.2. Middle East
- 15.2.3. Africa
- 15.3. Asia-Pacific
- 16. Analytics-as-a-Service Market, by Group
- 16.1. ASEAN
- 16.2. GCC
- 16.3. European Union
- 16.4. BRICS
- 16.5. G7
- 16.6. NATO
- 17. Analytics-as-a-Service Market, by Country
- 17.1. United States
- 17.2. Canada
- 17.3. Mexico
- 17.4. Brazil
- 17.5. United Kingdom
- 17.6. Germany
- 17.7. France
- 17.8. Russia
- 17.9. Italy
- 17.10. Spain
- 17.11. China
- 17.12. India
- 17.13. Japan
- 17.14. Australia
- 17.15. South Korea
- 18. Competitive Landscape
- 18.1. Market Share Analysis, 2024
- 18.2. FPNV Positioning Matrix, 2024
- 18.3. Competitive Analysis
- 18.3.1. Google LLC
- 18.3.2. Microsoft Corporation
- 18.3.3. Amazon Web Services, Inc.
- 18.3.4. International Business Machines Corporation
- 18.3.5. Oracle Corporation
- 18.3.6. SAP SE
- 18.3.7. SAS Institute Inc.
- 18.3.8. Salesforce, Inc.
- 18.3.9. TIBCO Software Inc.
- 18.3.10. QlikTech International AB
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