Artificial Intelligence Software Market Forecasts

Use Cases for Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Machine Reasoning, and Strong AI across 23 Industry Sectors

Report Details

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Pages: 49
Tables, Charts,
     & Figures:
30
Publication Date: 2Q 2020
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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.

Key Questions Addressed:

  • How has the COVID-19 pandemic affected the global AI software market?
  • What are the key use cases for AI and which industry sectors will experience the most revenue growth between 2019 and 2025?
  • What will be the key drivers of AI adoption in each industry sector?
  • Which key AI technologies and combinations of technologies will gain the most market traction?
  • How does the growth of AI vary among vision-, language-, and analytics-based use cases?
  • What are the chief horizontal applications for AI?
  • How will the market opportunity for AI vary by world region?

Who Needs This Report?

  • AI technology companies
  • Software companies
  • Semiconductor and component vendors
  • Service providers and systems integrators
  • End-user organizations deploying AI systems
  • Industry organizations
  • Government agencies
  • Investor community

Table of Contents

Executive summary
Introduction
COVID-19 scenarios
Market forecasts

Market definitions
Overview
Revenue types
Technologies
Forecast model
Industry verticals
– Advertising
– Aerospace
– Agriculture
– Automotive
– Business services
– Consumer
– Defense
– Education
– Energy, oil, gas, & mining
– Financial services
– Food & beverage
– Healthcare
– Information technology
– Legal
– Manufacturing
– Media & entertainment
– Public sector
– Real estate & construction
– Retail
– Scientific research
– Sports
– Telecommunications
– Transportation
Updates
– New use cases
– Renamed and recategorized use cases
– New category: Horizontal markets

Technology issues
Deep learning
Machine learning
Computer vision
Natural language processing
Machine reasoning
Strong AI

Market forecasts
COVID-19 impact
Regional highlights
– North America
– Europe
– Asia Pacific
– Latin America
– Middle East & Africa
Industry highlights
– Consumer
– Healthcare
– Retail
– Financial services
– Automotive
– Telecommunications
– Business services
– Advertising
– Other
Meta categorization of AI software revenue
Horizontal markets
– Visual analytics
– Customer experience
– Process optimization
– Voice/speech recognition
– Chatbots and virtual assistants
Top use cases
– Voice/speech recognition
– Video surveillance
– Customer service & marketing VDAs
– Network/IT operations monitoring and management
– Supply chain and inventory management
Conclusions and recommendations

List of Charts, Figures, and Tables

Figures
  • AI software revenue scenario forecasts, world markets: 2019–25
  • AI software revenue by region, world markets: 2019–25
  • AI software revenue by technology, world markets: 2019–25
  • AI software revenue share by technology, world markets: 2025
  • Which of the following statements do you most agree with regarding the COVID-19 crisis and its impact on AI deployment?
  • Cumulative AI software revenue by industry, world markets: 2019–25
  • AI software revenue by industry: COVID-19 impact vs. 2019–25 CAGR
  • AI software revenue by meta category, world markets: 2019–25
  • AI software revenue share by meta category, world markets: 2019
  • AI software revenue share by meta category, world markets: 2025
  • Cumulative AI software revenue by horizontal, world markets: 2019–25
  • Cumulative AI software revenue by top 10 use cases, world markets: 2019–25
  • Omdia's AI market sizing model (software)
Tables
  • New use cases
  • AI software revenue forecast scenarios, world markets: 2019–25
  • AI software revenue by horizontal, world markets: 2019–25
  • Use case definitions
  • AI software revenue scenario forecasts
  • AI software revenue industry forecasts
  • AI software revenue region forecasts
  • AI software revenue technology forecasts
  • AI software revenue meta category forecasts
  • AI software revenue horizontal forecasts
  • AI software revenue use case forecasts
  • AI software revenue type forecasts
  • AI software revenue annual growth forecasts
  • AI software revenue category share forecasts
  • AI software revenue CAGR (2019–25) forecasts
  • AI software revenue scenario forecasts
  • AI software revenue region forecasts