Global General Purpose Artificial Intelligence (GPAI) Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032

Market Overview

According to DIResearch＇s in-depth investigation and research, the global General Purpose Artificial Intelligence (GPAI) market size will reach 27,954 Million USD in 2025 and is projected to reach 147,486 Million USD by 2032, with a CAGR of 26.82% (2025-2032). Notably, the China General Purpose Artificial Intelligence (GPAI) market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.

Research Summary

General Purpose Artificial Intelligence (GPAI) refers to artificial intelligence (AI) systems designed to perform a wide range of tasks across different domains, rather than being specialized in a specific area. GPAI systems aim to mimic human cognitive abilities, such as learning, reasoning, problem-solving, and perception, to perform tasks in diverse fields including healthcare, finance, transportation, manufacturing, and more. Unlike narrow AI, which focuses on performing specific tasks within a limited scope, GPAI seeks to achieve human-level intelligence or even surpass human capabilities across multiple domains. GPAI has the potential to revolutionize various industries by automating routine tasks, enhancing decision-making processes, and accelerating innovation. However, it also raises ethical, societal, and safety concerns, including job displacement, bias in decision-making, privacy violations, and the potential for misuse or unintended consequences. As a result, the development and deployment of GPAI systems require careful consideration of ethical principles, regulatory frameworks, and responsible AI practices to ensure beneficial and responsible use.

The major global suppliers of General Purpose Artificial Intelligence (GPAI) include Nvidia Corporation, Google Inc., Intel, Microsoft, IBM, Qualcomm Technologies, Inc., Numenta, Equbot, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.

This report studies the market size, price trends and future development prospects of General Purpose Artificial Intelligence (GPAI). Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global General Purpose Artificial Intelligence (GPAI) market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.

The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the General Purpose Artificial Intelligence (GPAI) market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of General Purpose Artificial Intelligence (GPAI) industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Suppliers of General Purpose Artificial Intelligence (GPAI) Include:

Nvidia Corporation

Google Inc.

Intel

Microsoft

IBM

Qualcomm Technologies, Inc.

Numenta

Equbot

General Purpose Artificial Intelligence (GPAI) Product Segment Include:

Machine Learning

Machine Vision

Deep Learning

Natural Language Processing

General Purpose Artificial Intelligence (GPAI) Product Application Include:

Healthcare

Agriculture

Defense and Aerospace

Educational and Research

Manufacturing

Automotive and Transportation

Others

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend

Chapter 2: Global General Purpose Artificial Intelligence (GPAI) Industry PESTEL Analysis

Chapter 3: Global General Purpose Artificial Intelligence (GPAI) Industry Porter's Five Forces Analysis

Chapter 4: Global General Purpose Artificial Intelligence (GPAI) Major Regional Market Size (Revenue) and Forecast Analysis

Chapter 5: Global General Purpose Artificial Intelligence (GPAI) Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)

Chapter 6: Global General Purpose Artificial Intelligence (GPAI) Revenue and Forecast Analysis by Product Type

Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)

Chapter 8: Industrial Chain Analysis, General Purpose Artificial Intelligence (GPAI) Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis

Chapter 9: Research Findings and Conclusion

Chapter 10: Methodology and Data Sources