Global State of AI, 2022

Global State of AI, 2022

Highlights from the 2022 Frost & Sullivan Global AI Survey

RELEASE DATE
30-Jan-2023
REGION
Global
Research Code: PE31-01-00-00-00
SKU: IT04672-GL-CR_27439
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Description

About 87% of enterprises believe that artificial intelligence (AI) and machine learning (ML) are important in achieving business goals centered around growing revenue, increasing operational efficiency, and boosting customer experience. However, where are global organizations in this journey and what are their adoption drivers and restraints? This Frost & Sullivan study presents the key findings of a survey it conducted among global enterprises on their state of adoption of AI. Respondents were drawn from senior IT decision-makers across multiple verticals, including financial services, healthcare, retail, government, technology, and manufacturing. The major themes the survey explores include the current state of AI deployment, key organizational goals of AI implementation, the demand for specific AI-related technologies, and the main AI deployment models. The study examines technology vendors and service providers to obtain a view of AI priorities and help end users understand AI's benefits and challenges (as cited by global peers). It also gives readers an understanding of the prominent AI-related technologies that enterprises are adopting. In addition, the study offers insight into the main challenges enterprises face in their AI adoption journeys.

Author: Hemangi Patel

Table of Contents

Research Objectives and Methodology

Respondent Profile

AI—A Key Technology Priority for Global Enterprises

Enterprises are Advancing in their AI Adoption Journeys

Enterprises are Advancing in their AI Adoption Journeys(continued)

AI can Improve Operational Efficiency and Grow Revenue, which Drives its Adoption

State of AI—Key Takeaways

IT Operations and Customer Support Services are the Key Business Functions Leading AI Adoption

The High-tech, Travel and Hospitality, and Professional ServicesVerticals Lead AI Deployment

Key Use-Cases in Emerging Industry Verticals

The Adoption and the Convergence of Multiple Technologies Enable Innovative AI Application

The Adoption and the Convergence of Multiple Technologies Enable Innovative AI Application (continued)

The PS

The PS

The Way Forward

Build a Compelling Value Proposition

Strengthen IT Software Services and Advisory Capabilities

Focus on CXO and Business Stakeholders

Growth Opportunities Fuel the Growth Pipeline Engine™

Why is it Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth

The Strategic Imperative 8™

List of Exhibits

Legal Disclaimer

About 87% of enterprises believe that artificial intelligence (AI) and machine learning (ML) are important in achieving business goals centered around growing revenue, increasing operational efficiency, and boosting customer experience. However, where are global organizations in this journey and what are their adoption drivers and restraints This Frost & Sullivan study presents the key findings of a survey it conducted among global enterprises on their state of adoption of AI. Respondents were drawn from senior IT decision-makers across multiple verticals, including financial services, healthcare, retail, government, technology, and manufacturing. The major themes the survey explores include the current state of AI deployment, key organizational goals of AI implementation, the demand for specific AI-related technologies, and the main AI deployment models. The study examines technology vendors and service providers to obtain a view of AI priorities and help end users understand AI's benefits and challenges (as cited by global peers). It also gives readers an understanding of the prominent AI-related technologies that enterprises are adopting. In addition, the study offers insight into the main challenges enterprises face in their AI adoption journeys. Author: Hemangi Patel
More Information
Author Hemangi Patel
Industries Information Technology
No Index No
Is Prebook No
Keyword 1 AI 2022
Keyword 2 Global AI
Keyword 3 State in AI
Podcast No
WIP Number PE31-01-00-00-00