Press release
Artificial Intelligence Market to Hit US$ 676.83 Billion by 2031 | Anticipated CAGR of 30.0%
Los Angeles, United States - QY Research has unveiled its latest study titled "Global Artificial Intelligence Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031." This newly released report delivers a comprehensive overview of the global Artificial Intelligence market, analyzing the forces shaping its growth trajectory and providing valuable insights for stakeholders, investors, and industry professionals. the research covers key areas including market dynamics, segmentation, regional performance, competitive landscape, and emerging technology trends that are redefining industry standards. Backed by reliable data and expert analysis, the report serves as a trusted guide to understanding both microeconomic and macroeconomic factors driving market evolution.The global market for Artificial Intelligence was estimated to be worth US$ 137.35 billion in 2024 and is forecast to a readjusted size of US$ 676.83 billion by 2031 with a CAGR of 30.0% during the forecast period 2025-2031.
Download Free Sample PDF Report (with full TOC, tables, and charts) To Explore Detailed Insights and Forecasts @ https://qyresearch.in/request-sample/new-technology-artificial-intelligence-global-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031
Artificial Intelligence (AI) is a branch of computer science that aims to simulate or replicate human cognitive abilities such as learning, reasoning, problem-solving, language understanding, and environmental perception. AI technologies perform complex tasks by mimicking human thought processes and can be categorized into narrow AI (such as voice recognition, image recognition, etc., which perform single tasks) and general AI (which theoretically can perform any human-like intellectual activity). The product range of AI is vast and spans multiple fields.
In enterprise applications, AI products primarily include machine learning platforms, natural language processing (NLP) platforms, computer vision technologies, intelligent voice assistants, autonomous driving technologies, etc. Specifically, machine learning platforms use data and algorithms to train models and make predictive analyses; natural language processing is used for understanding and generating human language, widely applied in voice assistants, automatic translation, and more; computer vision enables machines to interpret and analyze images and video content, applied in security surveillance, medical diagnostics, autonomous driving, and others; while intelligent voice assistants enable devices to interact with users in natural language, with examples like Siri and Alexa.
AI products are not limited to technological platforms, but also include numerous vertical industry applications such as smart customer service, precision healthcare, automated manufacturing, and intelligent recommendation systems. These applications integrate AI technologies to provide intelligent services, improve work efficiency, and reduce costs.
Competitive Landscape: -
Baidu
Alibaba
Tencent
Huawei
iFLYTEK
SenseTime
Megvii
Yitu Technology
NVIDIA
Microsoft
IBM
Amazon
OpenAI
Intel
SAP
Salesforce
Brighterion
KITT.AI
Megvii Technology
Albert Technologies
Brainasoft
Market Opportunities and Key Drivers: The AI market is growing rapidly, with industries around the world actively adopting AI technologies. The key growth opportunities are seen in the following areas: -
Technological Advancements: Breakthroughs in deep learning, reinforcement learning, and other AI technologies have greatly enhanced the capabilities of AI, especially in fields like image recognition, speech recognition, and natural language processing.
Big Data Impact: The surge in data volume provides strong training resources for AI algorithms, propelling the development of AI products and services.
Industry Demand: Almost every sector, such as healthcare, finance, retail, transportation, and education, is looking for ways to leverage AI to improve efficiency, reduce costs, and enhance customer experiences. This broad demand offers tremendous growth potential for the AI market.
Market Risks:
Technological Challenges: Despite rapid progress, AI still faces challenges in terms of accuracy and reliability in certain specialized fields.
Privacy and Ethical Concerns: The widespread use of AI presents potential threats to privacy, especially in areas like big data analysis and facial recognition.
Regulatory Policies: Varying AI regulations across different countries could introduce uncertainties for the development of the AI industry.
Market Concentration: The current AI market is highly concentrated, mainly dominated by a few tech giants such as Google, Microsoft, and Amazon. These companies have strong research and development capabilities and financial backing, allowing them to lead in innovation and market capture. However, with the rise of more startups, competition in the AI market is increasing, and the market is expected to become more diversified in the future.
Downstream Demand Trends:
Automation and Intelligence: There is a growing demand across industries for automation and intelligence. AI has significant potential in enhancing productivity, reducing labor costs, and more.
Personalization Needs: Personalized recommendations, customized services, and similar needs are driving AI applications in customer service, marketing, and content delivery.
Latest Technologies:
Large-Scale Pre-Trained Models: Models like OpenAI's GPT series and Google's BERT have achieved remarkable performance in natural language processing and generation tasks, becoming highlights of AI technology today.
Edge Computing and AI Integration: Combining edge computing with AI enables more efficient data processing and real-time responses, especially in fields like IoT (Internet of Things) and autonomous driving.
Regional Insights -
The report takes readers on a journey through four key regions: United States, Asia-Pacific, and EMEA. Key nations like the United States, Germany, the United Kingdom, China, Japan, South Korea, and more are thoroughly examined. The data is presented in a timeline from 2024 as the base year, with projections extending to 2031.
North America: United States, Canada, Mexico
Latin America: Brazil and other key markets
Asia Pacific: China, Japan, South Korea, India, ASEAN countries
Europe, Middle East & Africa (EMEA): Major European economies, GCC countries, and African nations
The report provides a region-wise breakdown of market share, consumption trends, and future prospects.
Detailed of Artificial Intelligence Market Segmentation -
The report offers great insights into important segments of the global Artificial Intelligence market while concentrating on their CAGR, market size, market share, and future growth potential. The global Artificial Intelligence market is mainly segmented according to type of product, application, and region. Each segment in these categories is extensively researched to become familiar with their growth prospects and key trends. Segmental analysis is highly important to identify key growth pockets of a global market. The report provides specific information on the market growth and demand of different products and applications to help players to focus on profitable areas of the global Artificial Intelligence market.
Segmentation By Type :-
Machine Learning and Deep Learning
Natural Language Processing (NLP)
Computer Vision
Segmentation By Application -
Healthcare
Financial Services
Retail
Manufacturing
Automotive
Others
This segmentation helps identify high-growth opportunities and niche segments for investors and businesses.
Request for Pre-Order Enquiry On This Exclusive Report @ https://qyresearch.in/pre-order-inquiry/new-technology-artificial-intelligence-global-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031
Why This Report is a Must-Have -
ᗒ Historical Analysis (2020-2024) & Forecasts (2025-2031): Gain a clear understanding of market trends and future growth potential.
ᗒ Comprehensive Market Segmentation: Detailed breakdown by Type, Application, and Region to identify lucrative opportunities.
ᗒ Competitive Landscape: Insights into key players, their market share, and strategic developments like mergers, acquisitions, and expansion plans.
ᗒ Drivers & Restraints: Understand the factors shaping the market's growth and the challenges that could impact your strategy.
ᗒ Expert Opinions & Market Dynamics: Benefit from expert analysis to navigate market risks and capitalize on emerging trends.
Artificial Intelligence Market Report Objectives -
(1) Analyzing the size of the global Artificial Intelligence market on the basis of value and volume
(2) Accurately calculating the market shares, consumption, and other vital factors of different segments of the global Artificial Intelligence market
(3) Exploring key dynamics of the global Artificial Intelligence market
(4) Highlighting important trends of the global Artificial Intelligence market in terms of production, revenue, and sales
(5) Deeply profiling top players of the global Artificial Intelligence market and showing how they compete in the industry
(6) Studying manufacturing processes and costs, product pricing, and various trends related to them
(7) Showing the performance of different regions and countries in the global Artificial Intelligence market
(8) Forecasting the market size and share of all segments, regions, and the global market.
Important Questions Answered included in the Report:-
(A) What is the market size and growth rate of the global and regional market by various segments?
(B) What is the market size and growth rate of the market for selective Countries?
(C) Which region or sub-segment is expected to drive the market in the forecast period?
(D) What factors are estimated to drive and restrain the market growth?
(E) What are the key technology and market trends shaping the market?
(F) what are the key opportunity in the market?
(G) Who are the leading manufacturers operating in the global Artificial Intelligence market?
(H) Which key player accounted for the highest market share?
(I) What are the growth opportunities for the new entrants in the global Artificial Intelligence market?
Table of Contents - Major Key Points:
1 Market Overview
1.1 Artificial Intelligence Product Introduction
1.2 Global Artificial Intelligence Market Size Forecast (2020-2031)
1.3 Artificial Intelligence Market Trends & Drivers
1.3.1 Artificial Intelligence Industry Trends
1.3.2 Artificial Intelligence Market Drivers & Opportunity
1.3.3 Artificial Intelligence Market Challenges
1.3.4 Artificial Intelligence Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence Players Revenue Ranking (2024)
2.2 Global Artificial Intelligence Revenue by Company (2020-2025)
2.3 Key Companies Artificial Intelligence Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence
2.6 Artificial Intelligence Market Competitive Analysis
2.6.1 Artificial Intelligence Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning and Deep Learning
3.1.2 Natural Language Processing (NLP)
3.1.3 Computer Vision
3.2 Global Artificial Intelligence Sales Value by Type
3.2.1 Global Artificial Intelligence Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Artificial Intelligence Sales Value, by Type (2020-2031)
3.2.3 Global Artificial Intelligence Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Healthcare
4.1.2 Financial Services
4.1.3 Retail
4.1.4 Manufacturing
4.1.5 Automotive
4.1.6 Others
4.2 Global Artificial Intelligence Sales Value by Application
4.2.1 Global Artificial Intelligence Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Artificial Intelligence Sales Value, by Application (2020-2031)
4.2.3 Global Artificial Intelligence Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Artificial Intelligence Sales Value by Region
5.1.1 Global Artificial Intelligence Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Artificial Intelligence Sales Value by Region (2020-2025)
5.1.3 Global Artificial Intelligence Sales Value by Region (2026-2031)
5.1.4 Global Artificial Intelligence Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Artificial Intelligence Sales Value, 2020-2031
5.2.2 North America Artificial Intelligence Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Artificial Intelligence Sales Value, 2020-2031
5.3.2 Europe Artificial Intelligence Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence Sales Value, 2020-2031
5.4.2 Asia Pacific Artificial Intelligence Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Artificial Intelligence Sales Value, 2020-2031
5.5.2 South America Artificial Intelligence Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence Sales Value, 2020-2031
5.6.2 Middle East & Africa Artificial Intelligence Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Artificial Intelligence Sales Value, 2020-2031
6.3 United States
6.3.1 United States Artificial Intelligence Sales Value, 2020-2031
6.3.2 United States Artificial Intelligence Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Artificial Intelligence Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Artificial Intelligence Sales Value, 2020-2031
6.4.2 Europe Artificial Intelligence Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Artificial Intelligence Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Artificial Intelligence Sales Value, 2020-2031
6.5.2 China Artificial Intelligence Sales Value by Type (%), 2024 VS 2031
6.5.3 China Artificial Intelligence Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Artificial Intelligence Sales Value, 2020-2031
6.6.2 Japan Artificial Intelligence Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Artificial Intelligence Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Artificial Intelligence Sales Value, 2020-2031
6.7.2 South Korea Artificial Intelligence Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Artificial Intelligence Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence Sales Value, 2020-2031
6.8.2 Southeast Asia Artificial Intelligence Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Artificial Intelligence Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Artificial Intelligence Sales Value, 2020-2031
6.9.2 India Artificial Intelligence Sales Value by Type (%), 2024 VS 2031
6.9.3 India Artificial Intelligence Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Baidu
7.1.1 Baidu Profile
7.1.2 Baidu Main Business
7.1.3 Baidu Artificial Intelligence Products, Services and Solutions
7.1.4 Baidu Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.1.5 Baidu Recent Developments
7.2 Alibaba
7.2.1 Alibaba Profile
7.2.2 Alibaba Main Business
7.2.3 Alibaba Artificial Intelligence Products, Services and Solutions
7.2.4 Alibaba Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.2.5 Alibaba Recent Developments
7.3 Tencent
7.3.1 Tencent Profile
7.3.2 Tencent Main Business
7.3.3 Tencent Artificial Intelligence Products, Services and Solutions
7.3.4 Tencent Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.3.5 Tencent Recent Developments
7.4 Huawei
7.4.1 Huawei Profile
7.4.2 Huawei Main Business
7.4.3 Huawei Artificial Intelligence Products, Services and Solutions
7.4.4 Huawei Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.4.5 Huawei Recent Developments
7.5 iFLYTEK
7.5.1 iFLYTEK Profile
7.5.2 iFLYTEK Main Business
7.5.3 iFLYTEK Artificial Intelligence Products, Services and Solutions
7.5.4 iFLYTEK Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.5.5 iFLYTEK Recent Developments
7.6 SenseTime
7.6.1 SenseTime Profile
7.6.2 SenseTime Main Business
7.6.3 SenseTime Artificial Intelligence Products, Services and Solutions
7.6.4 SenseTime Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.6.5 SenseTime Recent Developments
7.7 Megvii
7.7.1 Megvii Profile
7.7.2 Megvii Main Business
7.7.3 Megvii Artificial Intelligence Products, Services and Solutions
7.7.4 Megvii Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.7.5 Megvii Recent Developments
7.8 Yitu Technology
7.8.1 Yitu Technology Profile
7.8.2 Yitu Technology Main Business
7.8.3 Yitu Technology Artificial Intelligence Products, Services and Solutions
7.8.4 Yitu Technology Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.8.5 Yitu Technology Recent Developments
7.9 NVIDIA
7.9.1 NVIDIA Profile
7.9.2 NVIDIA Main Business
7.9.3 NVIDIA Artificial Intelligence Products, Services and Solutions
7.9.4 NVIDIA Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.9.5 NVIDIA Recent Developments
7.10 Microsoft
7.10.1 Microsoft Profile
7.10.2 Microsoft Main Business
7.10.3 Microsoft Artificial Intelligence Products, Services and Solutions
7.10.4 Microsoft Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.10.5 Microsoft Recent Developments
7.11 Google
7.11.1 Google Profile
7.11.2 Google Main Business
7.11.3 Google Artificial Intelligence Products, Services and Solutions
7.11.4 Google Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.11.5 Google Recent Developments
7.12 IBM
7.12.1 IBM Profile
7.12.2 IBM Main Business
7.12.3 IBM Artificial Intelligence Products, Services and Solutions
7.12.4 IBM Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.12.5 IBM Recent Developments
7.13 Amazon
7.13.1 Amazon Profile
7.13.2 Amazon Main Business
7.13.3 Amazon Artificial Intelligence Products, Services and Solutions
7.13.4 Amazon Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.13.5 Amazon Recent Developments
7.14 OpenAI
7.14.1 OpenAI Profile
7.14.2 OpenAI Main Business
7.14.3 OpenAI Artificial Intelligence Products, Services and Solutions
7.14.4 OpenAI Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.14.5 OpenAI Recent Developments
7.15 Intel
7.15.1 Intel Profile
7.15.2 Intel Main Business
7.15.3 Intel Artificial Intelligence Products, Services and Solutions
7.15.4 Intel Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.15.5 Intel Recent Developments
7.16 SAP
7.16.1 SAP Profile
7.16.2 SAP Main Business
7.16.3 SAP Artificial Intelligence Products, Services and Solutions
7.16.4 SAP Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.16.5 SAP Recent Developments
7.17 Salesforce
7.17.1 Salesforce Profile
7.17.2 Salesforce Main Business
7.17.3 Salesforce Artificial Intelligence Products, Services and Solutions
7.17.4 Salesforce Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.17.5 Salesforce Recent Developments
7.18 Brighterion
7.18.1 Brighterion Profile
7.18.2 Brighterion Main Business
7.18.3 Brighterion Artificial Intelligence Products, Services and Solutions
7.18.4 Brighterion Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.18.5 Brighterion Recent Developments
7.19 KITT.AI
7.19.1 KITT.AI Profile
7.19.2 KITT.AI Main Business
7.19.3 KITT.AI Artificial Intelligence Products, Services and Solutions
7.19.4 KITT.AI Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.19.5 KITT.AI Recent Developments
7.20 Megvii Technology
7.20.1 Megvii Technology Profile
7.20.2 Megvii Technology Main Business
7.20.3 Megvii Technology Artificial Intelligence Products, Services and Solutions
7.20.4 Megvii Technology Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.20.5 Megvii Technology Recent Developments
7.21 Albert Technologies
7.21.1 Albert Technologies Profile
7.21.2 Albert Technologies Main Business
7.21.3 Albert Technologies Artificial Intelligence Products, Services and Solutions
7.21.4 Albert Technologies Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.21.5 Albert Technologies Recent Developments
7.22 Brainasoft
7.22.1 Brainasoft Profile
7.22.2 Brainasoft Main Business
7.22.3 Brainasoft Artificial Intelligence Products, Services and Solutions
7.22.4 Brainasoft Artificial Intelligence Revenue (US$ Million) & (2020-2025)
7.22.5 Brainasoft Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence Industrial Chain
8.2 Artificial Intelligence Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
About Us:
QYResearch established as a research firm in 2007 and have since grown into a trusted brand amongst many industries. Over the years, we have consistently worked toward delivering high-quality customized solutions for wide range of clients ranging from ICT to healthcare industries. With over 50,000 satisfied clients, spread over 80 countries, we have sincerely strived to deliver the best analytics through exhaustive research methodologies.
Contact Us:
Arshad Shaha | Marketing Executive
QY Research, INC.
315 Work Avenue, Raheja Woods,
Survey No. 222/1, Plot No. 25, 6th Floor,
Kayani Nagar, Yervada, Pune 411006, Maharashtra
Tel: +91-8669986909
Emails - arshad@qyrindia.com
Web - https://www.qyresearch.in
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