AI Market Maturity

Enterprise Survey of AI End Users and Vendors on Organizational Structure, Goals, Strategy, Data Privacy, Accountability, and COVID-19

Report Details

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Pages: 43
Tables, Charts,
     & Figures:
39
Publication Date: 2Q 2020
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By any stretch of the imagination, it is still early days for artificial intelligence (AI). That said, pioneering AI solutions providers and end-user companies have moved from proofs-of-concept to live deployments of AI solutions over the past few years. This Omdia survey examines the maturation of the market, with views of the AI structure and strategies of end-user and vendor companies.

The survey results suggest companies that have been AI pioneers fit the classic profile of early adopters. They are willing to risk money, time, and resources with the hope that potential returns will give them competitive advantages over companies that wait for a more developed market. While some industry sectors have more mature AI ecosystems than others, in a broad sense, the AI ecosystem reflects a market that is still in the early stages.

This Omdia survey provides the results of an online survey of 365 enterprises. The survey was sent to contact databases from Omdia, AI Summit, and AI Business. Surveyed companies across different vertical industries ranged in size from small startups with less than 100 employees to global companies with 10,000+ employees. Respondents were categorized as companies that were end users of AI solutions and capabilities and vendors that market AI solutions and capabilities. The survey treated the location of the respondent as the source country. Respondents had a broad range of job functions and titles, and the companies were using or exploring AI capabilities/services.

Key Questions Addressed:

  • What is the market penetration of AI technologies and solutions for enterprises?
  • What is the pace of AI technology implementations and investments?
  • How has the COVID-19 pandemic affected the AI plans of enterprises?
  • How has data privacy and the AI accountability gap affected AI plans?
  • Where does AI ownership/responsibility reside within enterprises?
  • Which strategies are enterprises relying on: in-house solutions (developing internal AI expertise and IP), commercial solutions, or both?
  • For what functions or business units are enterprises deploying AI (customer service, IT, operations, business intelligence, etc.)?
  • Which AI use cases are enterprises implementing?
  • What AI technologies are enterprises leveraging?

Who Needs This Report?

  • AI technology companies
  • Semiconductor and chipset vendors
  • Edge computing software vendors
  • Automotive companies
  • Drone and robot manufacturers
  • Machine vision companies
  • PC and server manufacturer companies
  • Investor community

Table of Contents

Key Takeaways

Findings
 – Maturation profile: Structure
– Maturation profile: Goals and strategy

Market impact
 – Data privacy, AI accountability gap
– COVID-19

Survey Demographics

List of Charts, Figures, and Tables

Figures
  • While AI penetration is low … less than half have live, pilot AI projects
  • Early adopters are leaning into AI
  • Data privacy slowing momentum
  • Early adopters are confident about positive results in the next 12–24 months
  • Where does AI responsibility and decision-making reside within your company?
  • What is/will be your deployment strategy for AI?
  • What are the top 3 reasons your company decided to invest in in-house AI expertise?
  • What are the top 3 reasons your company decided to deploy a commercial AI solution from vendors?
  • Near-term confidence in positive AI results despite COVID
  • Confidence in AI value growing over time
  • End-user state of AI deployment: 42% live or piloting projects
  • For what function or business unit is your company deploying AI?
  • For what function or business unit is your company's AI solution targeted?
  • What specific AI use cases are you implementing?
  • Currently implementing/targeting
  • Implementing/targeting within 24 months
  • How important is it in your company to aim AI at the following outcomes?
  • What AI capabilities are you currently using or planning to adopt in the future?
  • Which AI technologies is your company leveraging in its solutions?
  • Currently deploying
  • Currently deployed plus within 24 months
  • How do data privacy issues impact your company's momentum to leverage AI?
  • How concerned is your company about AI accountability?
  • End-user respondents
  • Vendor respondents
  • Which of the following statements do you most agree with regarding the COVID-19 crisis and its impact on AI deployment?
  • Which of the following statements do you most agree with regarding the COVID-19 crisis?
  • End-user respondents: Which of the following statements do you most agree with regarding the COVID-19 crisis and its impact on AI deployment?
  • Vendor respondents: Which of the following statements do you most agree with regarding the COVID-19 crisis?
  • End-user respondents: Company headquarters
  • End-user respondents: Annual revenue
  • End-user respondents: Number of employees
  • End-user respondents: Industry
  • End-user respondents: Job roles
  • Vendor respondents: Number of employees
  • Vendor respondents: Company headquarters
  • Vendor respondents: Job functions
  • Vendor respondents: Company role
  • Vendor respondents: Company involvement with AI