2021 Trends to Watch AI Applications Platforms Services and RPA

Data / 29 Sep 2020 / Josh Builta

Understand workloads carried on cloud, delivery strategy by area, IoT drivers, investment plans for AI, and benefits of 5G. To view other survey data available within IT Enterprise Insights 2021, visit the  Content Guide.

Report / 18 Jun 2020 / Mark Beccue

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. See also AI Market Maturity: Enterprise Survey Pivot Data

Data / 29 Jun 2020 / Neil Dunay

The artificial intelligence (AI) software market has experienced tremendous growth over the past several years. Many enterprises have discovered that AI software can help cut costs and generate new revenue streams. Yet, AI software remains a relatively small portion of overall software sales, with varying acceptance across industries. The AI software market has entered a new phase in which AI is a requirement for most enterprises to compete on a global level. Significant opportunity lies ahead for AI software market penetration despite short-term economic and market turbulence from the COVID-19 pandemic. AI software employs several different technologies that give computers human-like abilities of perception, reasoning, planning, and decision-making. Most AI systems today are machine and deep learning (ML and DL) systems; other technologies include natural language processing (NLP), computer vision (CV), machine reasoning (MR), and strong AI. Omdia has built a taxonomy of 340 AI use cases across 23 industries that captures the software opportunity related to AI. A new breakout aggregates the 340 use cases to 14 horizontal markets. Under the moderate impact scenario, global AI software revenue is expected to grow at a 34.9% CAGR to reach nearly $100bn in 2025. This Omdia report provides a quantitative assessment of the market opportunity for AI software. To assess the COVID-19 impact, Omdia outlines four forecast scenarios through 2025. The study includes market sizing, segmentation, and forecasts for 340 AI use cases, including more than 200 unique use cases. Global market forecasts, segmented by scenario, use case, industry, technology, geography, horizontal market, and meta category, extend through 2025.