Multimodal AI Growth Opportunities in Enterprise Applications
Increasing Use Cases in Diverse Industries Enable Stakeholders to Better Monetize Data
In an evolving digital landscape, artificial intelligence (AI) is emerging as a preeminent force poised to reshape traditional job functions, operational processes, and business models. Cross-industry enterprises embrace innovative multimodal AI tools, solutions, and platforms to augment business growth, optimize operations, create strategic differentiation, enhance customer experience, and personalize service portfolios. Advancements in voice, video, and text AI capabilities have supported the growth of multimodal AI.
In addition, with the recent disruption in the generative AI technology space, the multimodal approach is also shifting from cognitive search and recommendation to generation capabilities. Enterprises are looking for multimodal AI applications with the potential to transform business models, processes, and company functions. This creates growth opportunities across the generative AI stack, from data formats and tools to platforms and emerging AI applications.
This report highlights key emerging multimodal AI use cases across industry verticals and horizontal business functions and drivers and restraints that impact the AI market. It also offers technology vendors and service providers opportunities they can explore in industry-specific multimodal solutions and the data management space.
- Strategic Imperatives
- Why is it Increasingly Difficult to Grow?
- The Strategic Imperative 8™
- The Impact of the Top 3 Strategic Imperatives on Artificial Intelligence (AI)
- Growth Opportunities Fuel the Growth Pipeline Engine™
- Background—Artificial Intelligence
- AI is a Technology Priority for Global Enterprises
- Enterprises are Advancing in Their AI Adoption Journeys
- Growth Drivers
- Growth Restraints
- Maturing Voice, Video, and Text AI Capabilities Support Multimodal AI Growth
- Maturing Voice, Video, and Text AI Capabilities Support Multimodal AI Growth—Voice AI
- Maturing Voice, Video, and Text AI Capabilities Support Multimodal AI Growth—Computer Vision
- Maturing Voice, Video, and Text AI Capabilities Support Multimodal AI Growth—Text AI
- Growth Environment
- Unlocking Data Potential Requires Analyzing Unstructured Data in Video, Image, and Text Formats
- Industry and Functional Use Cases Increasingly Dependent on Integrated Data Formats
- Conversational AI Formats Increasingly Operating on Video, Image, and Text Formats
- Differentiating Factors of Unimodal, Cross-modal, and Multimodal AI
- Multimodal AI to be More Holistic and Tackle Complex Tasks than Traditional Single-mode AI Models
- Multimodal Approach Shifting from Cognitive Search and Recommendation Capabilities to Creative and Generative AI
- Generative AI Accelerates Multimodal Ecosystem Development
- Multimodality Creates Growth Opportunities Across the Generative AI Stack
- Availability of Multimodal Datasets
- Large-scale ML Models Support Multimodality
- Evolving Data Management Tools and Platforms
- Transforming AI Application Capabilities
- The Way Forward
- The Need for a Centralized AI Management Platform
- Growth Opportunity Universe
- Growth Opportunity 1—Industry-specific Multimodal Applications
- Growth Opportunity 2—Multimodal Generative AI Foundation Models
- Growth Opportunity 3—Data Management Services
- List of Exhibits
- Legal Disclaimer
Research Assistance
Download our eBook: How to Succeed Using Market Research
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook