The global artificial intelligence market size was valued at $65.48 billion in 2020, and is projected to reach $1,581.70 billion by 2030, growing at a CAGR of 38.0% from 2021 to 2030.
Major factors driving the growth of artificial intelligence market are
The global artificial intelligence market is growing due to an increase in demand for intelligent systems to improve efficiency and productivity in sectors such as IT and telecommunications, retail and e-commerce, BFSI, healthcare, manufacturing, and automotive.
During the projected period, increasing digital dependence and industry 4.0 trends are expected to provide lucrative chances for the artificial intelligence market to expand.
TELECOM
The amount of network equipment and global traffic are both rapidly increasing. This complicates, costs money, and takes time. AI can optimize and automate networks, ensuring that they are healthy and secure while lowering operational expenses. Anomaly detection, root cause analysis, managed services, and network optimization are all examples of AI and machine learning applications in telecom. Anomaly detection systems are critical for spotting performance issues and abnormal network behaviour in the field of system monitoring. Reduce and prevent outages by anticipating the decline of key performance indicators and identifying the likely root cause. When it comes to predictive maintenance, AI can make a major difference. AI and ML (Machine Learning) systems may accurately predict and warn about potential hardware problems by recognising trends in past data. This enables telcos to be highly proactive in terms of maintaining their equipment and resolving issues before they affect end-users. Thus, the growing adoption of artificial intelligence in telecom is expected to drive the growth of the artificial intelligence market.
E-commerce
Increasing adoption of Artificial Intelligence in E-commerce is expected to drive the AI market growth during the forecast period. Artificial intelligence is revolutionizing the online retail sector by anticipating buying trends based on the things that customers buy and when they buy them. Customers benefit from AI's ability to provide a tailored experience by way of accurate product recommendations and advertising. AI algorithms will sift through massive databases in order to extract useful insights into client behavior, allowing them to better predict what a customer needs and when they need it. They can use your buying history to recommend things that are similar to what you're looking for. Also, E-commerce firms are increasingly using chatbots and other virtual assistance to provide 24/7 support to all of their online clients. Natural language processing (NLP) allows these chatbots to interpret voice-based conversations with online shopping and present customized offers to customers.
BFSI
Growing adoption of AI by banks is expected to further fuel the Artificial intelligence market growth. Front office (conversational banking), middle office (fraud detection and risk management), and back office (underwriting) are the three key areas where artificial intelligence may help banks save costs. On the front end, AI is being used by banks to make client identification and verification easier, to simulate human personnel through chatbots and voice assistants, to strengthen customer relationships, and to deliver personalized insights and recommendations. Banks are also using AI in middle-office tasks to detect and prevent payment fraud, as well as to strengthen anti-money laundering (AML) and know-your-customer (KYC) regulatory checks. Furthermore, by evaluating data from a variety of standard and non-traditional data sources, AI can assist alternative lenders in determining a client's creditworthiness. This enables lenders to create creative lending systems that are backed by a strong credit scoring model, even for persons with a low credit history.
Healthcare
Artificial intelligence helps support medical imaging analysis, can decrease the cost to develop medicines, build complex and consolidated platforms for drug discovery, and uses data collected for predictive analytics in the healthcare industry. These advantages offered by AI in healthcare are expected to drive the growth of the Artificial intelligence market. AI can evaluate enormous amounts of data maintained by healthcare organisations in the form of photographs, clinical research trials, and medical claims, and can spot patterns and insights that are typically missed by humans. NLP enables AI systems to separate meaningful data by "teaching" them to recognise and classify data patterns.
MANUFACTURING
Artificial intelligence can take data from sensors, equipment, and people, then apply it to algorithms to improve operations or accomplish light-out production. In the not-too-distant future, Industry 4.0 will transform the global ecology. Artificial intelligence, machine learning, and deep learning models will significantly increase a company's return on investment. The new standard is to mimic human intelligence through loop-based automatic learning. Because self-learning robots can conduct all of the tasks efficiently, predictive maintenance eliminates the need for visual examination. Unsupervised learning is possible using neural networks based on deep learning algorithms, which can help with challenges like time to market, product development, and supply chain management. During the projected period, all of these factors will contribute to the AI market's growth.
AUTOMOTIVE
Artificial intelligence has a wide range of applications in the automotive industry. AI is currently being used in the automotive industry, in areas such as design, supply chain, production, and post-production. Furthermore, AI is being used in 'driving assistance' and 'driver risk assessment' systems, which is revolutionising the transportation industry. Artificial intelligence is also revolutionising aftermarket services such as predictive maintenance and insurance. Thus, the increasing adoption in automotive industry is expected to drive the growth of the Artificial intelligence market.
Based on components, the solutions category will give lucrative potential for expansion in the artificial intelligence market share, due to significant advances in processing power and information storage capacity.
Based on technology, the machine learning category is likely to maintain its lead in the artificial intelligence market share because of its widespread use in complicated industrial applications. The NLP segment, on the other hand, will increase at the fastest CAGR as the popularity of conversational AI grows.
Based on industry vertical, the IT and telecom segment will hold the dominant position in the artificial intelligence market share due to the growing need for robust telecom infrastructure and booming digitization. The healthcare segment will grow the fastest due to significant automation opportunities in the medical space.
Based on region, North America is expected to grow the highest in the artificial intelligence market share due to huge investments and the presence of big AI companies, and startups. The Asia-Pacific will grow the fastest due to rapid digital development.
Key Benefits For Stakeholders
|
Report Metric |
Details |
|
Report Name |
Artificial Intelligence Market |
|
The Market size value in 2020 |
65.48 Billion USD |
|
The Revenue forecast in 2030 |
1,581.70 Billion USD |
|
Growth Rate |
CAGR of 38.0% from 2021 to 2030 |
|
Base year considered |
2021 |
|
Forecast period |
2021- 2030 |
|
Forecast units |
Value (USD) |
|
Segments covered |
Type, End-User, Offerings, and Region |
|
Report coverage |
Revenue & volume forecast, company share, competitive landscape, growth factors, and trends |
|
Geographic regions covered |
North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
|
Companies covered |
Amazon Web Services, Inc., Apple Inc., Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, Nvidia, Oracle Corporation, SAP SE, and Siemens. |
Ans. The global artificial intelligence market size was valued at $65.48 billion in 2020, and is projected to reach $1,581.70 billion by 2030.
Ans. The global artificial intelligence market is expected to grow at a compound annual growth rate of 38.0% from 2021 to 2030.
Ans. The key players are Amazon Web Services, Inc., Apple Inc., Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, Nvidia, Oracle Corporation, SAP SE, and Siemens.
CHAPTER 1:INTRODUCTION
1.1.Report Description
1.2.Key Market Segments
1.3.Key Benefits
1.4.Research Methodology
1.4.1. Primary Research
1.4.2. Secondary Research
1.4.3. Analyst Tools and Models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.CXO Perspective
CHAPTER 3:MARKET LANDSCAPE
3.1.Market Definition and Scope
3.2.Key Findings
3.2.1. Top Investment Pockets
3.2.2. Top Winning Strategies
3.3.Porter's Five Forces Analysis
3.3.1. Bargaining Power of Suppliers
3.3.2. Threat of New Entrants
3.3.3. Threat of Substitutes
3.3.4. Competitive Rivalry
3.3.5. Bargaining Power among Buyers
3.4.Market Share Analysis/Top Player Positioning
3.4.1. Market Share Analysis/Top Player Positioning 2020
3.5.Market Dynamics
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities
3.6. COVID-19 Impact Analysis
3.7. Competitive Heat map
CHAPTER 4:ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT
4.1.Market Overview
4.1.1Market Size and Forecast, By Component
4.2. Software
4.2.1. Key Market Trends, Growth Factors and Opportunities
4.2.2. Market Size and Forecast, By Region
4.2.3. Market Share Analysis, By Country
4.3. Services
4.3.1. Key Market Trends, Growth Factors and Opportunities
4.3.2. Market Size and Forecast, By Region
4.3.3. Market Share Analysis, By Country
CHAPTER 5:ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
5.1.Market Overview
5.1.1Market Size and Forecast, By Technology
5.2. Machine Learning
5.2.1. Key Market Trends, Growth Factors and Opportunities
5.2.2. Market Size and Forecast, By Region
5.2.3. Market Share Analysis, By Country
5.3. Natural Language Processing
5.3.1. Key Market Trends, Growth Factors and Opportunities
5.3.2. Market Size and Forecast, By Region
5.3.3. Market Share Analysis, By Country
5.4. Computer Vision
5.4.1. Key Market Trends, Growth Factors and Opportunities
5.4.2. Market Size and Forecast, By Region
5.4.3. Market Share Analysis, By Country
5.5. Others
5.5.1. Key Market Trends, Growth Factors and Opportunities
5.5.2. Market Size and Forecast, By Region
5.5.3. Market Share Analysis, By Country
CHAPTER 6:ARTIFICIAL INTELLIGENCE MARKET, BY INDUSTRY VERTICAL
6.1.Market Overview
6.1.1Market Size and Forecast, By Industry Vertical
6.2. Automotive
6.2.1. Key Market Trends, Growth Factors and Opportunities
6.2.2. Market Size and Forecast, By Region
6.2.3. Market Share Analysis, By Country
6.3. Others
6.3.1. Key Market Trends, Growth Factors and Opportunities
6.3.2. Market Size and Forecast, By Region
6.3.3. Market Share Analysis, By Country
6.4. It and Telecommunication
6.4.1. Key Market Trends, Growth Factors and Opportunities
6.4.2. Market Size and Forecast, By Region
6.4.3. Market Share Analysis, By Country
6.5. Retail and E Commerce
6.5.1. Key Market Trends, Growth Factors and Opportunities
6.5.2. Market Size and Forecast, By Region
6.5.3. Market Share Analysis, By Country
6.6. BFSI
6.6.1. Key Market Trends, Growth Factors and Opportunities
6.6.2. Market Size and Forecast, By Region
6.6.3. Market Share Analysis, By Country
6.7. Healthcare
6.7.1. Key Market Trends, Growth Factors and Opportunities
6.7.2. Market Size and Forecast, By Region
6.7.3. Market Share Analysis, By Country
6.8. Manufacturing
6.8.1. Key Market Trends, Growth Factors and Opportunities
6.8.2. Market Size and Forecast, By Region
6.8.3. Market Share Analysis, By Country
CHAPTER 7:ARTIFICIAL INTELLIGENCE MARKET, BY REGION
7.1.Market Overview
7.1.1Market Size and Forecast, By Region
7.2.North America
7.2.1. Key Market Trends and Opportunities
7.2.2. Market Size and Forecast, By Component
7.2.3. Market Size and Forecast, By Technology
7.2.4. Market Size and Forecast, By Industry Vertical
7.2.5. Market Size and Forecast, By Country
7.2.6. United States Artificial Intelligence Market
7.2.6.1. Market Size and Forecast, By Component
7.2.6.2. Market Size and Forecast, By Technology
7.2.6.3. Market Size and Forecast, By Industry Vertical
7.2.7. Canada Artificial Intelligence Market
7.2.7.1. Market Size and Forecast, By Component
7.2.7.2. Market Size and Forecast, By Technology
7.2.7.3. Market Size and Forecast, By Industry Vertical
7.3.Europe
7.3.1. Key Market Trends and Opportunities
7.3.2. Market Size and Forecast, By Component
7.3.3. Market Size and Forecast, By Technology
7.3.4. Market Size and Forecast, By Industry Vertical
7.3.5. Market Size and Forecast, By Country
7.3.6. Uk Artificial Intelligence Market
7.3.6.1. Market Size and Forecast, By Component
7.3.6.2. Market Size and Forecast, By Technology
7.3.6.3. Market Size and Forecast, By Industry Vertical
7.3.7. Germany Artificial Intelligence Market
7.3.7.1. Market Size and Forecast, By Component
7.3.7.2. Market Size and Forecast, By Technology
7.3.7.3. Market Size and Forecast, By Industry Vertical
7.3.8. France Artificial Intelligence Market
7.3.8.1. Market Size and Forecast, By Component
7.3.8.2. Market Size and Forecast, By Technology
7.3.8.3. Market Size and Forecast, By Industry Vertical
7.3.9. Italy Artificial Intelligence Market
7.3.9.1. Market Size and Forecast, By Component
7.3.9.2. Market Size and Forecast, By Technology
7.3.9.3. Market Size and Forecast, By Industry Vertical
7.3.10. Spain Artificial Intelligence Market
7.3.10.1. Market Size and Forecast, By Component
7.3.10.2. Market Size and Forecast, By Technology
7.3.10.3. Market Size and Forecast, By Industry Vertical
7.3.11. Netherlands Artificial Intelligence Market
7.3.11.1. Market Size and Forecast, By Component
7.3.11.2. Market Size and Forecast, By Technology
7.3.11.3. Market Size and Forecast, By Industry Vertical
7.3.12. Rest of Europe Artificial Intelligence Market
7.3.12.1. Market Size and Forecast, By Component
7.3.12.2. Market Size and Forecast, By Technology
7.3.12.3. Market Size and Forecast, By Industry Vertical
7.4.Asia-Pacific
7.4.1. Key Market Trends and Opportunities
7.4.2. Market Size and Forecast, By Component
7.4.3. Market Size and Forecast, By Technology
7.4.4. Market Size and Forecast, By Industry Vertical
7.4.5. Market Size and Forecast, By Country
7.4.6. China Artificial Intelligence Market
7.4.6.1. Market Size and Forecast, By Component
7.4.6.2. Market Size and Forecast, By Technology
7.4.6.3. Market Size and Forecast, By Industry Vertical
7.4.7. Japan Artificial Intelligence Market
7.4.7.1. Market Size and Forecast, By Component
7.4.7.2. Market Size and Forecast, By Technology
7.4.7.3. Market Size and Forecast, By Industry Vertical
7.4.8. India Artificial Intelligence Market
7.4.8.1. Market Size and Forecast, By Component
7.4.8.2. Market Size and Forecast, By Technology
7.4.8.3. Market Size and Forecast, By Industry Vertical
7.4.9. Australia Artificial Intelligence Market
7.4.9.1. Market Size and Forecast, By Component
7.4.9.2. Market Size and Forecast, By Technology
7.4.9.3. Market Size and Forecast, By Industry Vertical
7.4.10. South Korea Artificial Intelligence Market
7.4.10.1. Market Size and Forecast, By Component
7.4.10.2. Market Size and Forecast, By Technology
7.4.10.3. Market Size and Forecast, By Industry Vertical
7.4.11. Rest of Asia-pacific Artificial Intelligence Market
7.4.11.1. Market Size and Forecast, By Component
7.4.11.2. Market Size and Forecast, By Technology
7.4.11.3. Market Size and Forecast, By Industry Vertical
7.5.LAMEA
7.5.1. Key Market Trends and Opportunities
7.5.2. Market Size and Forecast, By Component
7.5.3. Market Size and Forecast, By Technology
7.5.4. Market Size and Forecast, By Industry Vertical
7.5.5. Market Size and Forecast, By Country
7.5.6. Latin America Artificial Intelligence Market
7.5.6.1. Market Size and Forecast, By Component
7.5.6.2. Market Size and Forecast, By Technology
7.5.6.3. Market Size and Forecast, By Industry Vertical
7.5.7. Middle East Artificial Intelligence Market
7.5.7.1. Market Size and Forecast, By Component
7.5.7.2. Market Size and Forecast, By Technology
7.5.7.3. Market Size and Forecast, By Industry Vertical
7.5.8. Africa Artificial Intelligence Market
7.5.8.1. Market Size and Forecast, By Component
7.5.8.2. Market Size and Forecast, By Technology
7.5.8.3. Market Size and Forecast, By Industry Vertical
CHAPTER 8:COMPANY PROFILES
8.1. Amazon Web Services, Inc.
8.1.1.Company Overview
8.1.2.Key Executives
8.1.3.Company snapshot
8.1.4.Operating business segments
8.1.5.Product portfolio
8.1.6.Business Performance
8.1.7.Key Strategic Moves and Developments
8.2. Apple Inc.
8.2.1.Company Overview
8.2.2.Key Executives
8.2.3.Company snapshot
8.2.4.Operating business segments
8.2.5.Product portfolio
8.2.6.Business Performance
8.2.7.Key Strategic Moves and Developments
8.3. Google LLC
8.3.1.Company Overview
8.3.2.Key Executives
8.3.3.Company snapshot
8.3.4.Operating business segments
8.3.5.Product portfolio
8.3.6.Business Performance
8.3.7.Key Strategic Moves and Developments
8.4. IBM Corporation
8.4.1.Company Overview
8.4.2.Key Executives
8.4.3.Company snapshot
8.4.4.Operating business segments
8.4.5.Product portfolio
8.4.6.Business Performance
8.4.7.Key Strategic Moves and Developments
8.5. Intel Corporation
8.5.1.Company Overview
8.5.2.Key Executives
8.5.3.Company snapshot
8.5.4.Operating business segments
8.5.5.Product portfolio
8.5.6.Business Performance
8.5.7.Key Strategic Moves and Developments
8.6. Microsoft Corporation
8.6.1.Company Overview
8.6.2.Key Executives
8.6.3.Company snapshot
8.6.4.Operating business segments
8.6.5.Product portfolio
8.6.6.Business Performance
8.6.7.Key Strategic Moves and Developments
8.7. Nvidia
8.7.1.Company Overview
8.7.2.Key Executives
8.7.3.Company snapshot
8.7.4.Operating business segments
8.7.5.Product portfolio
8.7.6.Business Performance
8.7.7.Key Strategic Moves and Developments
8.8. Oracle Corporation
8.8.1.Company Overview
8.8.2.Key Executives
8.8.3.Company snapshot
8.8.4.Operating business segments
8.8.5.Product portfolio
8.8.6.Business Performance
8.8.7.Key Strategic Moves and Developments
8.9. SAP SE
8.9.1.Company Overview
8.9.2.Key Executives
8.9.3.Company snapshot
8.9.4.Operating business segments
8.9.5.Product portfolio
8.9.6.Business Performance
8.9.7.Key Strategic Moves and Developments
8.10. Siemens AG
8.10.1.Company Overview
8.10.2.Key Executives
8.10.3.Company snapshot
8.10.4.Operating business segments
8.10.5.Product portfolio
8.10.6.Business Performance
8.10.7.Key Strategic Moves and Developments
Note: *Details on financial performance and strategic moves and developments may not be captured for
unlisted companies.
*List of companies profiled in this TOC is tentative and may change after detailed analysis.
*Market size and forecast will be provided from 2020-2030, and forecast period would be 2021-2030.
*The provided information and segments are for representation purpose only. The actual information
delivered would change significantly as per findings during the course of study and upon its
completion.
LIST OF TABLES
TABLE 1.GLOBAL ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 2.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR SOFTWARE, BY REGION, 2020-2030 ($MILLION)
TABLE 3.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES, BY REGION, 2020-2030 ($MILLION)
TABLE 4.GLOBAL ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 5.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING, BY REGION, 2020-2030 ($MILLION)
TABLE 6.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2020-2030 ($MILLION)
TABLE 7.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION, BY REGION, 2020-2030 ($MILLION)
TABLE 8.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 9.GLOBAL ARTIFICIAL INTELLIGENCE MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 10.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR AUTOMOTIVE, BY REGION, 2020-2030 ($MILLION)
TABLE 11.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 12.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR IT AND TELECOMMUNICATION, BY REGION, 2020-2030 ($MILLION)
TABLE 13.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL AND E COMMERCE, BY REGION, 2020-2030 ($MILLION)
TABLE 14.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR BFSI, BY REGION, 2020-2030 ($MILLION)
TABLE 15.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY REGION, 2020-2030 ($MILLION)
TABLE 16.GLOBAL ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY REGION, 2020-2030 ($MILLION)
TABLE 17.GLOBAL ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2030 ($MILLION)
TABLE 18.NORTH AMERICA ARTIFICIAL INTELLIGENCE, BY Region, 2020-2030 ($MILLION)
TABLE 19.NORTH AMERICA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 20.NORTH AMERICA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 21.NORTH AMERICA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 22.UNITED STATES ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 23.UNITED STATES ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 24.UNITED STATES ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 25.CANADA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 26.CANADA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 27.CANADA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 28.EUROPE ARTIFICIAL INTELLIGENCE, BY Region, 2020-2030 ($MILLION)
TABLE 29.EUROPE ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 30.EUROPE ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 31.EUROPE ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 32.UK ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 33.UK ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 34.UK ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 35.GERMANY ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 36.GERMANY ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 37.GERMANY ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 38.FRANCE ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 39.FRANCE ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 40.FRANCE ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 41.ITALY ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 42.ITALY ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 43.ITALY ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 44.SPAIN ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 45.SPAIN ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 46.SPAIN ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 47.NETHERLANDS ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 48.NETHERLANDS ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 49.NETHERLANDS ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 50.REST OF EUROPE ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 51.REST OF EUROPE ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 52.REST OF EUROPE ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 53.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE, BY Region, 2020-2030 ($MILLION)
TABLE 54.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 55.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 56.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 57.CHINA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 58.CHINA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 59.CHINA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 60.JAPAN ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 61.JAPAN ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 62.JAPAN ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 63.INDIA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 64.INDIA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 65.INDIA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 66.AUSTRALIA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 67.AUSTRALIA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 68.AUSTRALIA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 69.SOUTH KOREA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 70.SOUTH KOREA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 71.SOUTH KOREA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 72.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 73.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 74.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 75.LAMEA ARTIFICIAL INTELLIGENCE, BY Region, 2020-2030 ($MILLION)
TABLE 76.LAMEA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 77.LAMEA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 78.LAMEA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 79.LATIN AMERICA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 80.LATIN AMERICA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 81.LATIN AMERICA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 82.MIDDLE EAST ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 83.MIDDLE EAST ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 84.MIDDLE EAST ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 85.AFRICA ARTIFICIAL INTELLIGENCE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 86.AFRICA ARTIFICIAL INTELLIGENCE, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 87.AFRICA ARTIFICIAL INTELLIGENCE, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 88.AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 89.AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 90.AMAZON WEB SERVICES, INC.: OPERATING SEGMENTS
TABLE 91.AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 92.AMAZON WEB SERVICES, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 93.APPLE INC.: KEY EXECUTIVES
TABLE 94.APPLE INC.: COMPANY SNAPSHOT
TABLE 95.APPLE INC.: OPERATING SEGMENTS
TABLE 96.APPLE INC.: PRODUCT PORTFOLIO
TABLE 97.APPLE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 98.GOOGLE LLC: KEY EXECUTIVES
TABLE 99.GOOGLE LLC: COMPANY SNAPSHOT
TABLE 100.GOOGLE LLC: OPERATING SEGMENTS
TABLE 101.GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 102.GOOGLE LLC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 103.IBM CORPORATION: KEY EXECUTIVES
TABLE 104.IBM CORPORATION: COMPANY SNAPSHOT
TABLE 105.IBM CORPORATION: OPERATING SEGMENTS
TABLE 106.IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 107.IBM CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 108.INTEL CORPORATION: KEY EXECUTIVES
TABLE 109.INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 110.INTEL CORPORATION: OPERATING SEGMENTS
TABLE 111.INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 112.INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 113.MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 114.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 115.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 116.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 117.MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 118.NVIDIA: KEY EXECUTIVES
TABLE 119.NVIDIA: COMPANY SNAPSHOT
TABLE 120.NVIDIA: OPERATING SEGMENTS
TABLE 121.NVIDIA: PRODUCT PORTFOLIO
TABLE 122.NVIDIA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 123.ORACLE CORPORATION: KEY EXECUTIVES
TABLE 124.ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 125.ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 126.ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 127.ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 128.SAP SE: KEY EXECUTIVES
TABLE 129.SAP SE: COMPANY SNAPSHOT
TABLE 130.SAP SE: OPERATING SEGMENTS
TABLE 131.SAP SE: PRODUCT PORTFOLIO
TABLE 132.SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 133.SIEMENS AG: KEY EXECUTIVES
TABLE 134.SIEMENS AG: COMPANY SNAPSHOT
TABLE 135.SIEMENS AG: OPERATING SEGMENTS
TABLE 136.SIEMENS AG: PRODUCT PORTFOLIO
TABLE 137.SIEMENS AG: KEY STRATEGIC MOVES AND DEVELOPMENTS
LIST OF FIGURES
FIGURE 1.GLOBAL ARTIFICIAL INTELLIGENCE MARKET SEGMENTATION
FIGURE 2.GLOBAL ARTIFICIAL INTELLIGENCE MARKET
FIGURE 3.SEGMENTATION ARTIFICIAL INTELLIGENCE MARKET
FIGURE 4.TOP INVESTMENT POCKET IN ARTIFICIAL INTELLIGENCE MARKET
FIGURE 5.TOP WINNING STRATEGIES, 2019-2021*
FIGURE 6.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2019-2021(%)
FIGURE 7.TOP WINNING STRATEGIES, BY COMPANY, 2019-2021*
FIGURE 8.MODERATE BARGAINING POWER OF BUYERS
FIGURE 9.MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 10.MODERATE THREAT OF NEW ENTRANTS
FIGURE 11.LOW THREAT OF SUBSTITUTION
FIGURE 12.HIGH COMPETITIVE RIVALRY
FIGURE 13.TOP PLAYER POSITIONING, 2020
FIGURE 14.MARKET SHARE ANALYSIS, 2020
FIGURE 15.RESTRAINTS AND DRIVERS: ARTIFICIAL INTELLIGENCE MARKET
FIGURE 16.ARTIFICIAL INTELLIGENCE MARKET SEGMENTATION, BY COMPONENT
FIGURE 17.ARTIFICIAL INTELLIGENCE MARKET FOR SOFTWARE, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 18.ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 19.ARTIFICIAL INTELLIGENCE MARKET SEGMENTATION, BY TECHNOLOGY
FIGURE 20.ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 21.ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 22.ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 23.ARTIFICIAL INTELLIGENCE MARKET FOR OTHERS, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 24.ARTIFICIAL INTELLIGENCE MARKET SEGMENTATION, BY INDUSTRY VERTICAL
FIGURE 25.ARTIFICIAL INTELLIGENCE MARKET FOR AUTOMOTIVE, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 26.ARTIFICIAL INTELLIGENCE MARKET FOR OTHERS, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 27.ARTIFICIAL INTELLIGENCE MARKET FOR IT AND TELECOMMUNICATION, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 28.ARTIFICIAL INTELLIGENCE MARKET FOR RETAIL AND E COMMERCE, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 29.ARTIFICIAL INTELLIGENCE MARKET FOR BFSI, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 30.ARTIFICIAL INTELLIGENCE MARKET FOR HEALTHCARE, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 31.ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY COUNTRY, 2020-2030 ($MILLION)
FIGURE 32.AMAZON WEB SERVICES, INC.: NET SALES, 2018-2020 ($MILLION)
FIGURE 33.AMAZON WEB SERVICES, INC.: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 34.AMAZON WEB SERVICES, INC.: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 35.APPLE INC.: NET SALES, 2018-2020 ($MILLION)
FIGURE 36.APPLE INC.: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 37.APPLE INC.: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 38.GOOGLE LLC: NET SALES, 2018-2020 ($MILLION)
FIGURE 39.GOOGLE LLC: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 40.GOOGLE LLC: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 41.IBM CORPORATION: NET SALES, 2018-2020 ($MILLION)
FIGURE 42.IBM CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 43.IBM CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 44.INTEL CORPORATION: NET SALES, 2018-2020 ($MILLION)
FIGURE 45.INTEL CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 46.INTEL CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 47.MICROSOFT CORPORATION: NET SALES, 2018-2020 ($MILLION)
FIGURE 48.MICROSOFT CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 49.MICROSOFT CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 50.NVIDIA: NET SALES, 2018-2020 ($MILLION)
FIGURE 51.NVIDIA: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 52.NVIDIA: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 53.ORACLE CORPORATION: NET SALES, 2018-2020 ($MILLION)
FIGURE 54.ORACLE CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 55.ORACLE CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 56.SAP SE: NET SALES, 2018-2020 ($MILLION)
FIGURE 57.SAP SE: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 58.SAP SE: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 59.SIEMENS AG: NET SALES, 2018-2020 ($MILLION)
FIGURE 60.SIEMENS AG: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 61.SIEMENS AG: REVENUE SHARE, BY REGION, 2020 (%)
