The information and communication technology (ICT) ecosystem is on the cusp of a major transformation thanks to Generative AI (GenAI), as this powerful technology opens new possibilities. Responsible use of GenAI can help companies generate new revenue streams, develop innovative solutions, and provide users and customers with personalized experiences.
Businesses are primarily looking to adopt GenAI to drive operational efficiency and improve productivity across several industry sectors, such as banking, financial services, and insurance; manufacturing; and healthcare. Frost & Sullivan has observed that adoption is high for repetitive, low-value tasks as well as to enhance efficiency and boost customer experiences, such as customer service and support, IT processes, and sales and marketing.
However, this wave of possibilities comes with challenges. Ethical considerations surrounding biases in AI algorithms and potential misuse of AI-generated content necessitate the development of ethical frameworks. Additionally, concerns around job displacement and lack of explainability for model outputs may represent obstacles to GenAI adoption.
Author: Kiran Kumar Vijaya Kumar
The Impact of the Top 3 Strategic Imperatives on the Generative AI Industry
Growth Opportunities in Generative AI
Transformative Megatrends
- Why
- Generative AI (GenAI) is a transformative megatrend due to its ability to create content and insights, revolutionizing industries by automating tasks, enhancing creativity, and driving innovation.
- This technology is rapidly expanding possibilities across various sectors, from marketing and design to healthcare and finance.
- Frost Perspective
- Technology providers aim to offer full-fledged solutions with advanced functionalities and enable deep integrations with enterprise applications, which will drive GenAI adoption globally.
- End-user organizations need to understand the potential impact of GenAI in their industries by adopting a measured approach and testing small use cases before investing significantly in GenAI platforms.
- Disruptive Technologies
- Why
- Enterprises are moving beyond training massive large language models (LLMs) and shifting toward smaller, custom-trained models.
- Small language models (SLMs) are disruptive because they offer cost-effective, adaptable AI solutions for businesses of all sizes. They enable rapid prototyping, customization, and deployment, democratizing AI access.
- Frost Perspective
- End-user organizations need to identify specific use cases where SLMs can add business value.
- Platform vendors and service providers should combine SLMs with industry-specific data and services to create unique, high-value solutions. They need to develop high-quality data and invest in in-house capabilities to leverage and adapt SLMs.
- Competitive Intensity
- Why
- GenAI can transform industries and create new markets, attracting a wide range of players, from start-ups to large established companies, all aiming to leverage GenAI for growth.
- As a result, GenAI technology vendors and service providers face intense competition, leading to increased innovation and opportunities across the stakeholder ecosystem.
- Frost Perspective
- Technology vendors need to focus on developing deep expertise in niche areas and offer specialized solutions tailored to the needs of target customers.
- Staying ahead in the GenAI space requires continuous innovation from technology vendors, whether in the latest techniques to differentiate their offerings, collaborate with technology providers and research institutions to reach new markets, or develop cutting-edge models, tools, and platforms to gain a competitive advantage.
Strategic Imperatives
Growth Opportunities in Generative AI
Strategic Imperatives
Companies to Action
- Best Practices
- Frost Radar
- Growth Opportunities
- Growth Generator
- Ecosystem
- Transformation
Growth Pipeline Engine
- Opportunity Insights
- Opportunity Solutions
- Planning & Market Strategies
The Strategic Imperative 8™?
Innovative Business Models
A new revenue model that defines how a company creates and capitalizes economic value, typically impacting its value proposition, product offering, operational strategies, and brand positioning.
Customer Value Chain Compression
Customer value chain compression as a result of advanced technologies, internet platforms, and other direct-to-consumer models that enables reduction in friction and the number of steps in customer journeys.
Transformative Megatrends
Global forces that define the future world with their far-reaching impact on business, societies, economies, cultures, and personal lives.
Internal Challenges
The internal organizational behaviors that prevent a company from making required changes.
Competitive Intensity
A new wave of competition from start-ups and digital business models that challenge the standing conventions of the past, compelling established industries to re-think their competitive stance.
Geopolitical Chaos
Chaos and disorder arising from political discord, natural calamities, pandemics, and social unrest that impact global trade, collaboration, and business security.
Disruptive Technologies
New, disruptive technologies that are displacing the old, and significantly altering the way consumers, industries, or businesses operate.
Industry Convergence
Collaboration between previously disparate industries to deliver on whitespace cross-industry growth opportunities.
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Generative AI Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
The Evolution of AI Technologies
GenAI: A Key Disruptive Technology for Enterprises
Enterprises Favor Customized and In-house GenAI Solutions
The GenAI Disruption
Growth Drivers
Growth Restraints
The GenAI Ecosystem: Key Stakeholders
The GenAI Ecosystem: System Integrators
The GenAI Ecosystem: Service Providers
The GenAI Ecosystem: Foundational Model/LLM Providers
The GenAI Ecosystem: Data and Implementation Platforms
The GenAI Ecosystem: Hardware Providers
Trends Shaping the GenAI Landscape
SLMs Pave the Way for GenAI Democratization
SLMs Pave the Way for GenAI Democratization (continued)
SLMs Pave the Way for GenAI Democratization (continued)
LLM Parallelization Gains Ground
LLM Parallelization Gains Ground (continued)
LLM Parallelization Gains Ground (continued)
Integration with Enterprise Applications Evolves Quickly
Integration with Enterprise Applications Evolves Quickly (continued)
Integration with Enterprise Applications Evolves Quickly (continued)
Integration with Enterprise Applications Evolves Quickly (continued)
Proactive Trust and Safety Safeguards are Now Necessary
Proactive Trust and Safety Safeguards are Now Necessary (continued)
Proactive Trust and Safety Safeguards are Now Necessary (continued)
Proactive Trust and Safety Safeguards are Now Necessary (continued)
Proactive Trust and Safety Safeguards are Now Necessary (continued)
Proactive Trust and Safety Safeguards are Now Necessary (continued)
Proactive Trust and Safety Safeguards are Now Necessary (continued)
Regulations Shape the AI Ecosystem
Regulations Shape the AI Ecosystem (continued)
Regulations Shape the AI Ecosystem (continued)
Regulations Shape the AI Ecosystem (continued)
GenAI Use Cases by Industry Vertical
Cloudera
Katonic AI
Adobe
ActiveFence
ActiveFence (continued)
Databricks
Dataiku
Popular GenAI Models: A Comparison
Growth Opportunity 1: Generative AI Implementation Services
Growth Opportunity 1: Generative AI Implementation Services (continued)
List of Exhibits
Legal Disclaimer
- GenAI’s Disruptiveness in the Next Two Years, Global, 2023
- Primary Way to Implement GenAI Solutions, Global, 2023
- GenAI: Growth Drivers, Global, 2024–2029
- GenAI: Growth Restraints, Global, 2024–2029
- GenAI Integration by Key Business Functions, Global, CY 2023
- Key Challenges in Implementing GenAI Initiatives, Global, CY 2023
- Frost & Sullivan 2023 IT Decision-maker Survey, Global, 2023
- Engaging a Third-party IT Service Provider during AI Implementation (current), Global, 2023
- Engaging a Third-party IT Service Provider in the Next 24 Months, Global, 2023
- Key Areas Where Service Provider Support is Needed, Global, 2023
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| Deliverable Type | Market Research |
|---|---|
| Author | Kiran Kumar Vijaya Kumar |
| Industries | Information Technology |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Generative Ai Market |
| Keyword 2 | Ai Growth 2024 |
| Keyword 3 | Ai Innovation Trends |
| List of Charts and Figures | GenAI’s Disruptiveness in the Next Two Years, Global, 2023~ Primary Way to Implement GenAI Solutions, Global, 2023~ GenAI: Growth Drivers, Global, 2024–2029~ GenAI: Growth Restraints, Global, 2024–2029~ GenAI Integration by Key Business Functions, Global, CY 2023~ Key Challenges in Implementing GenAI Initiatives, Global, CY 2023~ Frost & Sullivan 2023 IT Decision-maker Survey, Global, 2023~ Engaging a Third-party IT Service Provider during AI Implementation (current), Global, 2023~ Engaging a Third-party IT Service Provider in the Next 24 Months, Global, 2023~ Key Areas Where Service Provider Support is Needed, Global, 2023~ |
| Podcast | No |
| WIP Number | PFNZ-01-00-00-00 |
Growth Opportunities in Generative AI
Generative AI Advancements Driving Transformative Growth Opportunities
10-Oct-2024
Global
Market Research
