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Growth Opportunities in Generative AI

  • Report

  • 61 Pages
  • October 2024
  • Region: Global
  • Frost & Sullivan
  • ID: 6023230

Generative AI Advancements Driving Transformative Growth Opportunities

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. The analyst 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.

Table of Contents

Strategic Imperatives
  • 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™
Growth Opportunity Analysis
  • 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
  • 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
GenAI Trends
  • Trends Shaping the GenAI Landscape
  • SLMs Pave the Way for GenAI Democratization
  • LLM Parallelization Gains Ground
  • Integration with Enterprise Applications Evolves Quickly
  • Proactive Trust and Safety Safeguards are Now Necessary
  • Regulations Shape the AI Ecosystem
  • GenAI Use Cases by Industry Vertical
Companies to Action
  • Cloudera
  • Katonic AI
  • Adobe
  • ActiveFence
  • Databricks
  • Dataiku
  • Popular GenAI Models: A Comparison
Growth Opportunity Universe
  • Growth Opportunity 1: Generative AI Implementation Services
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
  • 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

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Cloudera
  • Katonic AI
  • Adobe
  • ActiveFence
  • Databricks
  • Dataiku