Growth Opportunities in Generative AI
Published on: 10-Oct-2024 | SKU: IT_2024_1051

Need more details?
$2,450.00
DownloadLink
Need more details?

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

List of 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

Have questions about this research or need deeper insights?
Speak directly with our analytics experts for tailored recommendations.
Purchase includes:
  • Report download
  • Growth Dialog™ with our experts

Growth Dialog™

A tailored session with you where we identify the:
  • Strategic Imperatives
  • Growth Opportunities
  • Best Practices
  • Companies to Action

Impacting your company's future growth potential.

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
More Information
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

Information TechnologyGrowth Opportunities in Generative AI

Generative AI Advancements Driving Transformative Growth Opportunities

RELEASE DATE
10-Oct-2024
REGION
Global
Deliverable Type
Market Research
Research Code: PFNZ-01-00-00-00
SKU: IT_2024_1051
AvailableYesPDF Download
$2,450.00
In stock
SKU
IT_2024_1051