The Worldwide AI and Generative AI Spending Guide examines the artificial intelligence (AI) and generative AI (GenAI) systems opportunity from the use case, technology, industry, and geography perspectives. This comprehensive database, delivered via IDC's Customer Insights query tool, allows the user to easily extract meaningful information about the AI/GenAI technology market by viewing data trends and relationships and making data comparisons.
Markets and Technologies Covered
- 3 technology groups with 9 technology categories comprising 22 technologies: Hardware (IaaS, network equipment, server, and storage), software (AI-enabled applications [content workflow and management applications, CRM applications, ERM applications], AI application development and deployment, Applied AI Software [computer vision AI software, conversational AI software, document AI software, search and knowledge discovery software], AI platforms [agent build, deploy and orchestration; AI build, deploy and orchestration; foundation models; GenAI lifecycle management, MLOps, data labeling and synthetic data software], AI system infrastructure software), and services (business services, engineering services, and IT services)
- 2 AI types: Generative AI and rest of AI
- 2 deployment types for software: On premises/other and public cloud services
- 42 use cases, including: AI-enabled customer service and self-service; augmented contact center and field service, AI-powered quality and compliance; augmented connected maintenance; digital commerce; IT optimization; smart campaign and content marketing; guided selling; and more.
- 6 sectors segmented into 14 industries and further expanded in premium 27 industry detail options: Banking, insurance, capital markets, healthcare payer, healthcare provider, life sciences, telecommunications, oil and gas, utilities, high tech and electronics, aerospace and defense, automotive, industrial and other manufacturing, chemicals, consumer goods, agriculture and fishing, mining, retail, software and information services, travel and transportation, hospitality and leisure, media and entertainment, engineering/construction/real estate, professional and personal services, education, federal/central government, and state/local government.
Geographic Coverage
- 31 countries across 9 regions
- Asia Pacific (APeJC): Australia, Hong Kong, India, Korea, Singapore, and Rest of APeJC
- Canada
- Central & Eastern Europe: Russia, Rest of CEE
- Japan
- Latin America: Argentina, Brazil, Chile, Colombia, Mexico, Peru, Rest of Latin America
- Middle East and Africa: Israel, Saudi Arabia, South Africa, Turkey, United Arab Amirates, Rest of MEA
- China
- USA
- Western Europe: France, Germany, Italy, Spain, United Kingdom, Rest of Western Europe
Data Deliverables
This spending guide is delivered on a semiannual basis via a web-based interface for online querying and downloads. For a complete delivery schedule, please contact an IDC sales representative. The following are the deliverables for this spending guide:
- Annual five-year forecasts by region, country, use case, industry, and technology — delivered twice a year
Key Questions Answered
Our research addresses the following issues that are critical to your success:
- What is the GenAI opportunity in the context of the larger AI market?
- Which technologies will grow the fastest in AI spending?
- Which regions and countries are early adopters of AI and GenAI technologies?
- Which industries show the greatest long-term potential, and which are the largest industries in any specific country for AI and GenAI spending?
- In which use cases should you develop expertise to support your AI/GenAI business?
- What does the future hold for the adoption of AI and GenAI? Which areas should I develop, and which should I avoid?