Composite AI Market by Product Type (Hardware, Services, Software), Integration Level (Model-Driven AI Integration, Data-Driven AI Integration, Knowledge-Driven AI Integration), Application, End User, Deployment Mode - Global Forecast 2025-2032
Description
The Composite AI Market was valued at USD 2.06 billion in 2024 and is projected to grow to USD 2.72 billion in 2025, with a CAGR of 34.43%, reaching USD 22.00 billion by 2032.
A strategic, executive-level introduction that frames composite AI disruptions, operational inflection points, and decision imperatives for leadership over the next planning horizon
The introduction sets the stage for a rigorous, executive-level examination of a rapidly evolving composite AI landscape and its strategic implications across industries. This document distills complex technological advancements, shifting regulatory pressures, and supply chain realities into an accessible narrative to inform senior decision-makers and investment committees. By synthesizing cross-disciplinary signals, the narrative highlights how product architectures, go-to-market models, and buyer behaviors are converging to redefine competitive advantage.
Readers will find an integrated account that connects engineering-level innovation to boardroom priorities. The analysis foregrounds practical implications for procurement, partnership selection, and talent acquisition, while also identifying operational friction points that warrant immediate attention. Transitional framing links the technological drivers to macroeconomic and policy developments, ensuring that readers can translate insight into actionable strategy without losing sight of sector-specific nuances.
How converging technological advances and regulatory expectations are reshaping product architectures, procurement dynamics, and governance for enterprise adoption of composite AI
A series of transformative shifts is rewriting the rules for product development, deployment, and governance in composite AI ecosystems. Advances in model interoperability and modular hardware-software co-design are enabling faster iteration cycles and more portable solutions, while hybrid cloud-edge architectures are expanding the envelope of feasible use cases. Concurrently, regulatory attention on model provenance, data sovereignty, and algorithmic transparency is prompting organizations to embed compliance and explainability earlier in the lifecycle, shifting investment from experimental pilots toward production-grade controls.
These technological and policy forces intersect with commercial dynamics as buyers demand outcomes rather than point solutions, pushing vendors to bundle services and embed lifecycle support. The result is a renewed emphasis on systems integration, partnerships, and secure data fabrics. As adoption matures, attention is turning from pure capability demos to measurable operational impact, with procurement and legal teams increasingly involved in early vendor selection. Moving forward, the ability to orchestrate ecosystems, demonstrate robust governance, and align technical roadmaps with regulatory timelines will separate leaders from laggards.
Understanding the multifaceted consequences of recent tariff policy changes on supply chains, procurement contracting, and product architecture decisions across global operations
The cumulative impact of evolving United States tariff policies in 2025 has created tangible pressure across global supply chains, procurement strategies, and vendor roadmaps. Increased duties on specific components and imported assemblies have incentivized buyers to reassess supplier geographic footprints, accelerate qualification of alternative sources, and recalibrate inventory strategies to mitigate input-cost volatility. In parallel, procurement teams are renegotiating contracts to include tariff pass-through clauses and scope for material substitution, while risk teams are expanding their scenario modeling to include tariff-induced cost and lead-time variance.
Beyond direct cost implications, tariff changes are influencing product design and sourcing decisions. Engineering teams are evaluating bill-of-material adjustments to reduce exposure to high-duty inputs, and supply chain leaders are exploring nearshoring and regionalization to secure continuity. Financial leaders are weighing the trade-offs between capital investment for local capacity and short-term operational flexibility. Collectively, these responses are accelerating structural shifts in supplier relationships, elevating the importance of dual-sourcing strategies, and placing a premium on transparent supplier analytics and trade-compliance expertise.
Actionable segmentation-based intelligence revealing how product type, application domains, and diverse end users create distinct adoption pathways and commercialization strategies
Key segmentation insights reveal meaningful variation in adoption drivers and commercialization pathways when viewed through the lens of product type, application, and end user. When products are segmented by hardware, services, and software, hardware investments are driven by performance and integration requirements, software adoption hinges on portability and interoperability, and services capture value through customization, deployment, and ongoing optimization. Businesses are increasingly procuring blended solutions that combine these elements, which places a premium on vendors that can present coherent total-cost-of-ownership narratives and lifecycle support models.
Application-level segmentation across BFSI, healthcare, manufacturing, and retail shows divergent priorities and regulatory contours that shape technology choices and procurement timetables. Financial services prioritize explainability, auditability, and latency for real-time decisioning, while healthcare emphasizes clinical validation, patient privacy, and long-term safety monitoring. Manufacturing organizations concentrate on deterministic performance and integration with legacy automation systems, whereas retail focuses on personalization, inventory optimization, and omnichannel execution. These application-specific constraints drive distinct investment profiles and partner ecosystems.
End-user segmentation across government, large enterprise, and small and medium-sized businesses highlights differences in buying power, procurement complexity, and speed of adoption. Government customers require rigorous compliance, procurement transparency, and long procurement cycles, large enterprises pursue scale, integration, and vendor consolidation, and small and medium-sized businesses favor turnkey solutions with clear return on investment and limited internal operational overhead. Vendors that design modular offerings with adjustable governance and pricing will better penetrate cross-segment demand.
A nuanced regional assessment highlighting how geopolitical dynamics, regulatory regimes, and industrial ecosystems drive differentiated adoption and partnership strategies across key global territories
Regional insights underscore how geopolitical posture, regulatory agendas, and industrial ecosystems shape technology adoption and partner selection. In the Americas, emphasis is placed on innovation clusters, venture-backed ecosystems, and a pragmatic balance between speed-to-market and regulatory compliance, leading to rapid commercial deployments in commercial sectors and deliberate procurement cycles in public institutions. Strategic partnerships and the availability of experienced systems integrators are enabling accelerated rollouts in major metropolitan and industrial centers.
Europe, Middle East & Africa present a heterogeneous picture in which stringent data-protection regimes, national industrial policy, and a mosaic of procurement practices influence deployment approaches. Organizations in these markets place substantial weight on data residency, certification, and cross-border interoperability, prompting specialized compliance tooling and controlled rollout roadmaps. Regional consortiums and standards initiatives are playing an outsized role in aligning technical specifications across national boundaries.
Asia-Pacific continues to be characterized by a blend of rapid adoption, strong local manufacturing capabilities, and active government-led modernization programs. High-growth urban centers are implementing large-scale proof points that prioritize operational efficiency and public service delivery, while export-oriented manufacturing hubs are recalibrating supply chains in response to trade realignment. Across all regions, local talent ecosystems, regulatory posture, and industrial policy remain decisive factors shaping commercialization and partnership strategies.
Competitive dynamics and corporate strategies showing how product modularity, services depth, and ecosystem partnerships determine leadership and differentiation in a fast-evolving field
Insights related to leading companies suggest competition is being waged on multiple fronts: product differentiation, ecosystem orchestration, and services-enabled outcomes. Market leaders are investing in modular platforms that allow rapid integration with existing enterprise stacks, and they often pair product launches with professional services capabilities to accelerate time to value. Strategic alliances and embedded partnerships with systems integrators are common pathways to scale, while specialized firms focus on niche technical competencies and regulatory expertise to capture vertical-specific demand.
Corporate strategy is being shaped by a dual imperative to broaden addressable use cases and to deepen sector-specific capability. This has resulted in increased M&A activity in technology adjacencies, selective investments in firmware and hardware co-design, and the expansion of managed services offerings. Competitive positioning now requires credible proof points around deployment reliability, governance, and the ability to deliver measurable operational improvements. Firms that combine technical excellence with clear, outcomes-oriented commercial models are best placed to secure enduring enterprise relationships.
Practical, high-impact recommendations for executive teams to strengthen governance, de-risk supply chains, and accelerate trustworthy adoption while prioritizing measurable outcomes
Recommendations for industry leaders focus on practical steps to manage risk, accelerate adoption, and capture sustainable value. First, establish cross-functional governance that aligns engineering, procurement, legal, and compliance to ensure options are evaluated against technical performance, regulatory constraints, and supply-chain exposure. This unified governance structure will shorten decision cycles and reduce the likelihood of costly rework during deployment transitions.
Second, prioritize supplier diversification and regional sourcing strategies that reduce concentration risk without sacrificing integration quality. Scenario planning that models tariff sensitivity, lead-time variation, and substitution options will enable more resilient procurement. Third, invest in modular product architectures and standardized interfaces that facilitate incremental deployment and lower customization costs. Modularity supports faster interoperability testing and enables clearer upgrade paths. Fourth, develop measurable outcome metrics linked to operational KPIs so that commercial conversations shift from product features to demonstrated business impact. Finally, scale talent and partner models that combine domain experts with experience in regulatory and operational environments to accelerate trustworthy adoption.
A transparent mixed-methods research approach combining practitioner interviews, technical briefings, and methodical triangulation to ensure credible, validated insights and stated limitations
The research methodology combines qualitative expert engagement, structured primary interviews, and systematic secondary-source triangulation to ensure both depth and reliability. Primary inputs include interviews with senior practitioners across industry, procurement, and regulatory functions, supplemented by technical briefings with architects and engineers who are responsible for deployment. These conversations were designed to capture first-order operational constraints, governance practices, and the real-world trade-offs that shape procurement decisions.
Secondary analysis drew from publicly available regulatory filings, standards documentation, and industry white papers to contextualize primary findings and to verify chronological developments. Data triangulation was used to reconcile differing perspectives, and rigorous validation rounds ensured that emerging hypotheses were stress-tested against practitioner feedback. The methodology acknowledges limitations inherent in confidential procurement cycles and in cases where deployment data are proprietary; where gaps exist, the analysis is explicit about confidence levels and highlights areas for further inquiry.
A forward-looking conclusion emphasizing governance, sourcing flexibility, and outcome-driven approaches as the definitive factors that will shape sustainable leadership in the evolving landscape
The conclusion synthesizes strategic priorities for leaders operating in an era of accelerating technological capability and shifting policy landscapes. Organizations that proactively align governance, product design, and supply-chain strategies will secure a competitive edge, while those that delay integration of compliance and resilience measures risk costly disruptions. The interplay between tariff policy, regional regulatory regimes, and rapid innovation creates both friction and opportunity, demanding a coordination of technical, commercial, and legal competencies.
Going forward, success will be determined by the capacity to translate technical advances into reliable, auditable outcomes that map to enterprise objectives. Organizations should therefore treat governance, sourcing flexibility, and measurable outcome frameworks as core business capabilities rather than optional overlays. This transition will enable leaders to convert short-term adaptation into long-term advantage and to navigate an evolving landscape with strategic confidence.
Note: PDF & Excel + Online Access - 1 Year
A strategic, executive-level introduction that frames composite AI disruptions, operational inflection points, and decision imperatives for leadership over the next planning horizon
The introduction sets the stage for a rigorous, executive-level examination of a rapidly evolving composite AI landscape and its strategic implications across industries. This document distills complex technological advancements, shifting regulatory pressures, and supply chain realities into an accessible narrative to inform senior decision-makers and investment committees. By synthesizing cross-disciplinary signals, the narrative highlights how product architectures, go-to-market models, and buyer behaviors are converging to redefine competitive advantage.
Readers will find an integrated account that connects engineering-level innovation to boardroom priorities. The analysis foregrounds practical implications for procurement, partnership selection, and talent acquisition, while also identifying operational friction points that warrant immediate attention. Transitional framing links the technological drivers to macroeconomic and policy developments, ensuring that readers can translate insight into actionable strategy without losing sight of sector-specific nuances.
How converging technological advances and regulatory expectations are reshaping product architectures, procurement dynamics, and governance for enterprise adoption of composite AI
A series of transformative shifts is rewriting the rules for product development, deployment, and governance in composite AI ecosystems. Advances in model interoperability and modular hardware-software co-design are enabling faster iteration cycles and more portable solutions, while hybrid cloud-edge architectures are expanding the envelope of feasible use cases. Concurrently, regulatory attention on model provenance, data sovereignty, and algorithmic transparency is prompting organizations to embed compliance and explainability earlier in the lifecycle, shifting investment from experimental pilots toward production-grade controls.
These technological and policy forces intersect with commercial dynamics as buyers demand outcomes rather than point solutions, pushing vendors to bundle services and embed lifecycle support. The result is a renewed emphasis on systems integration, partnerships, and secure data fabrics. As adoption matures, attention is turning from pure capability demos to measurable operational impact, with procurement and legal teams increasingly involved in early vendor selection. Moving forward, the ability to orchestrate ecosystems, demonstrate robust governance, and align technical roadmaps with regulatory timelines will separate leaders from laggards.
Understanding the multifaceted consequences of recent tariff policy changes on supply chains, procurement contracting, and product architecture decisions across global operations
The cumulative impact of evolving United States tariff policies in 2025 has created tangible pressure across global supply chains, procurement strategies, and vendor roadmaps. Increased duties on specific components and imported assemblies have incentivized buyers to reassess supplier geographic footprints, accelerate qualification of alternative sources, and recalibrate inventory strategies to mitigate input-cost volatility. In parallel, procurement teams are renegotiating contracts to include tariff pass-through clauses and scope for material substitution, while risk teams are expanding their scenario modeling to include tariff-induced cost and lead-time variance.
Beyond direct cost implications, tariff changes are influencing product design and sourcing decisions. Engineering teams are evaluating bill-of-material adjustments to reduce exposure to high-duty inputs, and supply chain leaders are exploring nearshoring and regionalization to secure continuity. Financial leaders are weighing the trade-offs between capital investment for local capacity and short-term operational flexibility. Collectively, these responses are accelerating structural shifts in supplier relationships, elevating the importance of dual-sourcing strategies, and placing a premium on transparent supplier analytics and trade-compliance expertise.
Actionable segmentation-based intelligence revealing how product type, application domains, and diverse end users create distinct adoption pathways and commercialization strategies
Key segmentation insights reveal meaningful variation in adoption drivers and commercialization pathways when viewed through the lens of product type, application, and end user. When products are segmented by hardware, services, and software, hardware investments are driven by performance and integration requirements, software adoption hinges on portability and interoperability, and services capture value through customization, deployment, and ongoing optimization. Businesses are increasingly procuring blended solutions that combine these elements, which places a premium on vendors that can present coherent total-cost-of-ownership narratives and lifecycle support models.
Application-level segmentation across BFSI, healthcare, manufacturing, and retail shows divergent priorities and regulatory contours that shape technology choices and procurement timetables. Financial services prioritize explainability, auditability, and latency for real-time decisioning, while healthcare emphasizes clinical validation, patient privacy, and long-term safety monitoring. Manufacturing organizations concentrate on deterministic performance and integration with legacy automation systems, whereas retail focuses on personalization, inventory optimization, and omnichannel execution. These application-specific constraints drive distinct investment profiles and partner ecosystems.
End-user segmentation across government, large enterprise, and small and medium-sized businesses highlights differences in buying power, procurement complexity, and speed of adoption. Government customers require rigorous compliance, procurement transparency, and long procurement cycles, large enterprises pursue scale, integration, and vendor consolidation, and small and medium-sized businesses favor turnkey solutions with clear return on investment and limited internal operational overhead. Vendors that design modular offerings with adjustable governance and pricing will better penetrate cross-segment demand.
A nuanced regional assessment highlighting how geopolitical dynamics, regulatory regimes, and industrial ecosystems drive differentiated adoption and partnership strategies across key global territories
Regional insights underscore how geopolitical posture, regulatory agendas, and industrial ecosystems shape technology adoption and partner selection. In the Americas, emphasis is placed on innovation clusters, venture-backed ecosystems, and a pragmatic balance between speed-to-market and regulatory compliance, leading to rapid commercial deployments in commercial sectors and deliberate procurement cycles in public institutions. Strategic partnerships and the availability of experienced systems integrators are enabling accelerated rollouts in major metropolitan and industrial centers.
Europe, Middle East & Africa present a heterogeneous picture in which stringent data-protection regimes, national industrial policy, and a mosaic of procurement practices influence deployment approaches. Organizations in these markets place substantial weight on data residency, certification, and cross-border interoperability, prompting specialized compliance tooling and controlled rollout roadmaps. Regional consortiums and standards initiatives are playing an outsized role in aligning technical specifications across national boundaries.
Asia-Pacific continues to be characterized by a blend of rapid adoption, strong local manufacturing capabilities, and active government-led modernization programs. High-growth urban centers are implementing large-scale proof points that prioritize operational efficiency and public service delivery, while export-oriented manufacturing hubs are recalibrating supply chains in response to trade realignment. Across all regions, local talent ecosystems, regulatory posture, and industrial policy remain decisive factors shaping commercialization and partnership strategies.
Competitive dynamics and corporate strategies showing how product modularity, services depth, and ecosystem partnerships determine leadership and differentiation in a fast-evolving field
Insights related to leading companies suggest competition is being waged on multiple fronts: product differentiation, ecosystem orchestration, and services-enabled outcomes. Market leaders are investing in modular platforms that allow rapid integration with existing enterprise stacks, and they often pair product launches with professional services capabilities to accelerate time to value. Strategic alliances and embedded partnerships with systems integrators are common pathways to scale, while specialized firms focus on niche technical competencies and regulatory expertise to capture vertical-specific demand.
Corporate strategy is being shaped by a dual imperative to broaden addressable use cases and to deepen sector-specific capability. This has resulted in increased M&A activity in technology adjacencies, selective investments in firmware and hardware co-design, and the expansion of managed services offerings. Competitive positioning now requires credible proof points around deployment reliability, governance, and the ability to deliver measurable operational improvements. Firms that combine technical excellence with clear, outcomes-oriented commercial models are best placed to secure enduring enterprise relationships.
Practical, high-impact recommendations for executive teams to strengthen governance, de-risk supply chains, and accelerate trustworthy adoption while prioritizing measurable outcomes
Recommendations for industry leaders focus on practical steps to manage risk, accelerate adoption, and capture sustainable value. First, establish cross-functional governance that aligns engineering, procurement, legal, and compliance to ensure options are evaluated against technical performance, regulatory constraints, and supply-chain exposure. This unified governance structure will shorten decision cycles and reduce the likelihood of costly rework during deployment transitions.
Second, prioritize supplier diversification and regional sourcing strategies that reduce concentration risk without sacrificing integration quality. Scenario planning that models tariff sensitivity, lead-time variation, and substitution options will enable more resilient procurement. Third, invest in modular product architectures and standardized interfaces that facilitate incremental deployment and lower customization costs. Modularity supports faster interoperability testing and enables clearer upgrade paths. Fourth, develop measurable outcome metrics linked to operational KPIs so that commercial conversations shift from product features to demonstrated business impact. Finally, scale talent and partner models that combine domain experts with experience in regulatory and operational environments to accelerate trustworthy adoption.
A transparent mixed-methods research approach combining practitioner interviews, technical briefings, and methodical triangulation to ensure credible, validated insights and stated limitations
The research methodology combines qualitative expert engagement, structured primary interviews, and systematic secondary-source triangulation to ensure both depth and reliability. Primary inputs include interviews with senior practitioners across industry, procurement, and regulatory functions, supplemented by technical briefings with architects and engineers who are responsible for deployment. These conversations were designed to capture first-order operational constraints, governance practices, and the real-world trade-offs that shape procurement decisions.
Secondary analysis drew from publicly available regulatory filings, standards documentation, and industry white papers to contextualize primary findings and to verify chronological developments. Data triangulation was used to reconcile differing perspectives, and rigorous validation rounds ensured that emerging hypotheses were stress-tested against practitioner feedback. The methodology acknowledges limitations inherent in confidential procurement cycles and in cases where deployment data are proprietary; where gaps exist, the analysis is explicit about confidence levels and highlights areas for further inquiry.
A forward-looking conclusion emphasizing governance, sourcing flexibility, and outcome-driven approaches as the definitive factors that will shape sustainable leadership in the evolving landscape
The conclusion synthesizes strategic priorities for leaders operating in an era of accelerating technological capability and shifting policy landscapes. Organizations that proactively align governance, product design, and supply-chain strategies will secure a competitive edge, while those that delay integration of compliance and resilience measures risk costly disruptions. The interplay between tariff policy, regional regulatory regimes, and rapid innovation creates both friction and opportunity, demanding a coordination of technical, commercial, and legal competencies.
Going forward, success will be determined by the capacity to translate technical advances into reliable, auditable outcomes that map to enterprise objectives. Organizations should therefore treat governance, sourcing flexibility, and measurable outcome frameworks as core business capabilities rather than optional overlays. This transition will enable leaders to convert short-term adaptation into long-term advantage and to navigate an evolving landscape with strategic confidence.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
183 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of explainable composite AI frameworks in regulated financial services industries
- 5.2. Deployment of federated learning composite AI platforms to enhance cross border data collaboration
- 5.3. Integration of real time edge computing with composite AI for autonomous industrial inspection workflows
- 5.4. Development of hybrid symbolic neural composite AI models for advanced natural language understanding
- 5.5. Implementation of multimodal composite AI pipelines for personalized healthcare diagnostics and treatment
- 5.6. Use of reinforcement learning powered composite AI systems in dynamic supply chain optimization strategies
- 5.7. Scaling of privacy preserving composite AI architectures in consumer data analytics for regulatory compliance
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Composite AI Market, by Product Type
- 8.1. Hardware
- 8.2. Services
- 8.2.1. Integration & Deployment
- 8.2.2. Maintenance & Optimization
- 8.2.3. Consulting & Customization
- 8.3. Software
- 9. Composite AI Market, by Integration Level
- 9.1. Model-Driven AI Integration
- 9.2. Data-Driven AI Integration
- 9.3. Knowledge-Driven AI Integration
- 9.4. Hybrid Reasoning & Decision-Making Systems
- 10. Composite AI Market, by Application
- 10.1. Customer Analytics
- 10.2. Fraud Detection & Risk Management
- 10.3. Predictive Maintenance
- 10.4. Intelligent Automation
- 10.5. Supply Chain Optimization
- 10.6. Healthcare Diagnostics
- 10.7. Computer Vision Enhancement
- 10.8. Natural Language Understanding
- 10.9. Enterprise Knowledge Management
- 11. Composite AI Market, by End User
- 11.1. BFSI
- 11.2. Aerospace & Defense
- 11.3. Healthcare & Life Sciences
- 11.4. Retail & E-Commerce
- 11.5. Manufacturing
- 11.6. IT & Telecom
- 11.7. Automotive & Transportation
- 11.8. Government & Public Sector
- 11.9. Energy & Utilities
- 11.10. Logistics & Supply Chain
- 12. Composite AI Market, by Deployment Mode
- 12.1. Cloud-Based
- 12.2. Hybrid Deployment
- 12.3. Edge Deployment
- 12.4. On-Premise
- 13. Composite AI Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Composite AI Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Composite AI Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. ACTICO GmbH
- 16.3.2. Alphabet Inc.
- 16.3.3. Amazon Web Services, Inc.
- 16.3.4. C3.ai, Inc.
- 16.3.5. CognitiveScale, Inc.
- 16.3.6. DataRobot, Inc.
- 16.3.7. Diwo, Inc.
- 16.3.8. Dynamic Yield Ltd.
- 16.3.9. H2O.ai, Inc.
- 16.3.10. Hewlett Packard Enterprise Company
- 16.3.11. Intel Corporation
- 16.3.12. International Business Machines Corporation
- 16.3.13. Kyndi, Inc.
- 16.3.14. Microsoft Corporation
- 16.3.15. NVIDIA Corporation
- 16.3.16. Oracle Corporation
- 16.3.17. Palantir Technologies Inc.
- 16.3.18. Pegasystems Inc.
- 16.3.19. Salesforce, Inc.
- 16.3.20. SAP SE
- 16.3.21. SparkCognition, Inc.
- 16.3.22. Squirro AG
- 16.3.23. UiPath, Inc.
- 16.3.24. ZestFinance, Inc.
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