Global State of AI, 2021

Information Technology Global State of AI, 2021

Highlights from the 2021 Frost & Sullivan Global AI Survey


RELEASE DATE
22-Feb-2022
REGION
Global
DELIVERABLE TYPE
Customer Research

RESEARCH CODE
PCB9-01-00-00-00
SKU
IT04479-GL-CR_26300
Yes
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Global State of AI, 2021
Published on: 22-Feb-2022 | SKU: IT04479-GL-CR_26300

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From optimizing operations to driving R&D, enterprises are leveraging artificial intelligence (AI) to drive digital transformation and support business outcomes. However, where are global organizations in this journey and what are their adoption drivers and restraints?
In this study, Frost & Sullivan presents the key findings of a survey conducted among global enterprises on their state of adoption of AI. Respondents were drawn from senior IT decision makers across multiple verticals such as financial services, healthcare, retail, government, technology, and manufacturing. The major themes explored in the survey 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 surveys technology vendors and service providers to obtain a view on AI priorities and help end users understand the benefits and the challenges of AI (as cited by global peers). In addition, the study gives readers an understanding of the prominent AI-related technologies that enterprises are adopting. It also offers insight into the main challenges enterprises face in their AI adoption journey.

Author: Nishchal Khorana

Research Objectives and Methodology

Respondent Profile

Key Takeaways

While Many Organizations have Initiated AI Adoption, it is Still in the Early Stage of Deployment

Enterprise Customers View AI as a Means to Achieve Greater Efficiency and as a Catalyst to Boost Data Centricity and Innovation

AI Deployments Leverage Multiple Technologies to Support Use-cases

Public Cloud is the Dominant Model of AI Deployment.

Data Privacy, Security, and Governance is a Key Challenge for AI Implementation

North American Organizations Lead the Deployment of AI Solutions

Travel and Hospitality and Healthcare Lead AI Deployment Across Verticals

IT Operations is Emerging as a Key Business Process that Leverages AI

Enterprises Seek Data Migration and Integration Support to Create New Opportunities for Third-party Service Providers

IT Service Providers are Well Positioned to Monetize Growth Opportunities—Given their Integration Capabilities and Focus on Emerging Technologies Augmented with Industry Knowledge

Besides Product/Service Quality, Technology Vendors and Service Providers will Need to Demonstrate Strong Focus on Data Security

List of Exhibits

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List of Figures
  • Respondent Profile by Region, Industry, Number of Employees, and Department/Role, Global, 2021
  • State of AI Deployment, Global, 2021
  • Purpose of AI Implementation, Global, 2021
  • Deployment of Various AI-related Technologies, Global, 2021 and 2023
  • Main AI Deployment Model, Global, 2021
  • Main AI deployment Model—Future, Global
  • Challenges for AI Implementation, Global, 2021
  • State of AI Deployment by Country, Global, 2021
  • State of AI Deployment by Vertical, Global, 2021
  • AI Deployments by Business Process, Global, 2021
  • Key Areas of Support Required for AI Implementations, Global, 2021
  • Mode of AI Solution Procurement, Global, 2021

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From optimizing operations to driving R&D, enterprises are leveraging artificial intelligence (AI) to drive digital transformation and support business outcomes. However, where are global organizations in this journey and what are their adoption drivers and restraints In this study, Frost & Sullivan presents the key findings of a survey conducted among global enterprises on their state of adoption of AI. Respondents were drawn from senior IT decision makers across multiple verticals such as financial services, healthcare, retail, government, technology, and manufacturing. The major themes explored in the survey 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 surveys technology vendors and service providers to obtain a view on AI priorities and help end users understand the benefits and the challenges of AI (as cited by global peers). In addition, the study gives readers an understanding of the prominent AI-related technologies that enterprises are adopting. It also offers insight into the main challenges enterprises face in their AI adoption journey. Author: Nishchal Khorana
More Information
Deliverable Type Customer Research
Author Nishchal Khorana
GPS Codes 9705-C1,9658
Industries Information Technology
No Index No
Is Prebook No
List of Charts and Figures Respondent Profile by Region, Industry, Number of Employees, and Department/Role, Global, 2021~ State of AI Deployment, Global, 2021~ Purpose of AI Implementation, Global, 2021~ Deployment of Various AI-related Technologies, Global, 2021 and 2023~ Main AI Deployment Model, Global, 2021~ Main AI deployment Model—Future, Global~ Challenges for AI Implementation, Global, 2021~ State of AI Deployment by Country, Global, 2021~ State of AI Deployment by Vertical, Global, 2021~ AI Deployments by Business Process, Global, 2021~ Key Areas of Support Required for AI Implementations, Global, 2021~ Mode of AI Solution Procurement, Global, 2021~
Podcast No
WIP Number PCB9-01-00-00-00