Artificial Intelligence Market Report by Type (Narrow/Weak Artificial Intelligence, General/Strong Artificial Intelligence), Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, and Others), System (Intelligence Systems, Decision Support Processing, Hybrid Systems, Fuzzy Systems), End-Use Industry (Healthcare, Manufacturing, Automotive, Agriculture, Retail, Security, Human Resources, Marketing, Financial Services, Transportation and Logistics, and Others), and Region 2023-2028
The global artificial intelligence market size reached US$ 70.9 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 350.4 Billion by 2028, exhibiting a growth rate (CAGR) of 30.51% during 2022-2028. The increasing adoption of cloud-based solutions, rising sales of autonomous vehicles (AVs), and the growing prevalence of chronic diseases represent some of the key factors driving the market.
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. It involves the creation of algorithms and systems that enable machines to perform tasks that typically require human cognitive functions, such as learning, reasoning, problem-solving, and decision-making. AI encompasses a wide range of technologies, including machine learning, natural language processing, and computer vision. Machine learning, a subset of AI, involves the development of algorithms that allow computers to learn from and make predictions or decisions based on data without explicit programming. Natural language processing enables machines to understand and interpret human language, facilitating communication between humans and computers. Additionally, computer vision empowers machines to interpret and analyze visual information from the world, similar to the way humans perceive and understand images.
The exponential increase in data generation and the availability of high-performance computing resources have enabled AI systems to process and analyze massive datasets, fostering the development of advanced AI algorithms and models. Additionally, AI-driven automation has the potential to streamline operations and enhance efficiency in various sectors, from manufacturing to logistics. Businesses are leveraging AI to optimize processes, reduce costs, and improve overall productivity. Other than this, AI-powered algorithms enable businesses to offer personalized experiences to customers, enhancing engagement and satisfaction. Recommendation systems, chatbots, and virtual assistants use AI to understand customer preferences and deliver tailored solutions. Besides this, AI is revolutionizing healthcare by aiding in diagnostics, drug discovery, and treatment development. Medical imaging analysis, predictive analytics, and genomics research are benefiting from AI-driven insights. In line with this, smart devices and the Internet of Things (IoT) are integrating AI for voice recognition, facial recognition, and predictive maintenance, contributing to the growth of AI in consumer electronics. Furthermore, AI is reshaping the financial industry with algorithmic trading, fraud detection, and risk assessment. Machine learning algorithms analyze market trends and predict investment opportunities. Moreover, breakthroughs in machine learning techniques, particularly deep learning, have enhanced the capabilities of AI systems in tasks such as image recognition, natural language understanding, and predictive analytics, leading to broader applications across industries.
Artificial Intelligence Market Trends/Drivers:
Data Proliferation and Processing Power
The digital age has generated an unprecedented amount of information, ranging from customer behavior data to sensor data from IoT devices. This wealth of data serves as the foundation for training AI algorithms and models. Moreover, the availability of high-performance computing resources, including GPUs and specialized AI hardware, has empowered researchers and developers to process and analyze these vast datasets at remarkable speeds. This synergy between data availability and processing power has unlocked the potential to develop sophisticated AI systems capable of recognizing patterns, making predictions, and deriving insights that were previously inaccessible.
Advancements in Machine Learning
Deep learning algorithms, inspired by neural networks, have shown exceptional performance in tasks such as image recognition, natural language understanding, and speech synthesis. These algorithms excel at automatically learning hierarchical features from raw data, enabling them to perform complex tasks with remarkable accuracy. Transfer learning, a technique within deep learning, allows models pre-trained on one task to be fine-tuned for another, reducing the need for extensive labeled data. Such advancements have lowered the barriers to entry for AI development and expanded its applicability in various domains, driving the integration of AI solutions into everyday technologies and processes.
Automation and Efficiency
Automation powered by AI technologies, such as robotic process automation (RPA) and autonomous systems, is eliminating repetitive and mundane tasks that previously consumed valuable human resources. This shift allows human workers to focus on higher-value tasks that require creativity, critical thinking, and problem-solving. Industries like manufacturing, logistics, and customer service are deploying AI-powered robots and systems to handle tasks ranging from inventory management to customer interactions. The result is not only increased productivity but also improved accuracy and consistency. Businesses are recognizing the potential of AI to transform their operations, leading to the widespread adoption of automation solutions that augment human capabilities and drive business growth.
Artificial Intelligence Industry Segmentation:
IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence market report, along with forecasts at the global, regional and country levels from 2023-2028. Our report has categorized the market based on type, offering, technology, system and end-use industry.
Breakup by Type:
Narrow/Weak Artificial Intelligence
General/Strong Artificial Intelligence
Narrow/weak artificial intelligence dominates the market
The report has provided a detailed breakup and analysis of the market based on the type. This includes narrow/weak artificial intelligence and general/strong artificial intelligence. According to the report, narrow/weak artificial intelligence represented the largest segment.
Unlike general or strong AI, which aims to replicate human-like cognitive abilities across a wide range of tasks, narrow AI is designed to excel in specific, well-defined tasks. This focused approach allows for more efficient development and deployment. Narrow AI technologies, such as machine learning and natural language processing, have demonstrated remarkable proficiency in tasks like image recognition, language translation, virtual assistants, and recommendation systems. This effectiveness has led to rapid adoption in sectors like healthcare, finance, e-commerce, and manufacturing, where the immediate benefits of automation, efficiency, and data-driven insights are highly valued. Additionally, the development of narrow AI systems often requires less complex algorithms and data, making it more accessible for businesses to implement and integrate into their existing workflows.
Breakup by Offering:
Hardware
Software
Services
Software holds the largest share in the market
A detailed breakup and analysis of the market based on the offering has also been provided in the report. This includes hardware, software, and services. According to the report, software accounted for the largest market share.
In the industry of artificial intelligence (AI), software plays a pivotal role as it serves as the foundation for developing, deploying, and managing AI applications. The accessibility of AI software frameworks, libraries, and tools has lowered the entry barriers for businesses, researchers, and developers to experiment with and integrate AI capabilities into their operations. Software offerings encompass a wide array of AI applications, from machine learning platforms to natural language processing APIs. This flexibility allows organizations to tailor AI solutions to their specific needs, whether it's optimizing supply chains, personalizing customer experiences, or automating decision-making processes. Furthermore, the cloud-based nature of many AI software solutions enables seamless scalability and updates, ensuring that businesses can stay abreast of the latest advancements without significant infrastructure investments.
Breakup by Technology:
Machine Learning
Natural Language Processing
Context-Aware Computing
Computer Vision
Others
Machine learning is the most widely used technology
The report has provided a detailed breakup and analysis of the market based on technology. This includes machine learning, natural language processing, context-aware computing, computer vision, and others. According to the report, machine learning represented the largest segment.
AI software serves as the intellectual core, housing algorithms, models, and data processing mechanisms that empower machines to simulate human cognitive functions. This software-driven approach offers unparalleled flexibility, enabling developers and businesses to tailor AI solutions to a diverse range of applications across industries. The accessibility of AI software tools and platforms has democratized AI development, allowing organizations to integrate AI functionalities into existing workflows and applications without extensive hardware investments. This accessibility, coupled with the rapid advancements in AI algorithms and techniques, ensures that software remains at the forefront of AI innovation. Moreover, the cloud-based deployment of AI software solutions facilitates scalability and updates, ensuring that businesses can stay current with the evolving AI landscape.
Breakup by System:
Intelligence Systems
Decision Support Processing
Hybrid Systems
Fuzzy Systems
Intelligence systems hold the largest share in the market
A detailed breakup and analysis of the market based on the system has also been provided in the report. This includes intelligence systems, decision support processing, hybrid systems, and fuzzy systems. According to the report, intelligence systems accounted for the largest market share.
Intelligence systems encompass a wide array of applications, ranging from virtual assistants and chatbots to advanced recommendation engines and predictive analytics platforms. These systems leverage AI algorithms to process vast amounts of data, derive meaningful insights, and facilitate informed decision-making. The appeal of intelligence systems lies in their ability to enhance efficiency, accuracy, and customer engagement across various sectors. Virtual assistants streamline customer interactions, while recommendation engines personalize user experiences, both of which contribute to improved satisfaction and retention. Furthermore, intelligence systems enable predictive analytics, enabling businesses to anticipate trends and optimize strategies.
Breakup by End Use Industry:
Healthcare
Manufacturing
Automotive
Agriculture
Retail
Security
Human Resources
Marketing
Financial Services
Transportation and Logistics
Others
Manufacturing represents the largest segment
The report has provided a detailed breakup and analysis of the market based on end use industry. This includes healthcare, manufacturing, automotive, agriculture, retail, security, human resources, marketing, financial services, transportation and logistics, and others. According to the report, manufacturing represented the largest segment.
AI technologies are revolutionizing manufacturing by enhancing operational efficiency, quality control, and product innovation. AI-driven automation optimizes production processes, leading to reduced downtime, higher productivity, and improved resource utilization. Manufacturing involves intricate tasks such as predictive maintenance, where AI algorithms analyze equipment data to predict maintenance needs, preventing costly breakdowns. Quality control benefits from AI-powered visual inspection systems that detect defects with exceptional accuracy. Additionally, AI-driven analytics aid in demand forecasting and supply chain optimization, ensuring efficient inventory management and minimizing production bottlenecks.
Breakup by Region:
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance in the market
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America was the largest market for artificial intelligence.
North America possesses a dense concentration of tech giants, research institutions, and startups, facilitating knowledge exchange and collaboration. Silicon Valley, in particular, serves as a global hub for AI research and development. The availability of venture capital funding in North America accelerates AI-driven entrepreneurship and disruptive solutions. Additionally, a skilled workforce proficient in AI technologies contributes to the region's competitive advantage. Major industries, including technology, healthcare, finance, and manufacturing, heavily invest in AI to gain a competitive edge, driving the market's growth. Moreover, North American governments promote AI research through funding and supportive policies. Collaboration between academia and industry propels AI advancements, while a receptive consumer base encourages AI adoption in products and services.
Competitive Landscape:
Major technology companies like Google, Microsoft, and IBM invest significantly in AI research and development, contributing to breakthroughs in algorithms, natural language processing, and machine learning frameworks. Additionally, tech leaders such as Facebook, OpenAI, and NVIDIA contribute to open-source AI projects, democratizing access to AI tools and accelerating development by fostering collaboration among developers. Other than this, organizations such as Apple, Amazon, and Intel acquire AI startups to harness their expertise and innovative solutions. Partnerships with research institutions and other industry players foster knowledge exchange and technology sharing. Besides this, financial institutions like JPMorgan Chase utilize AI for risk assessment, fraud detection, and trading algorithms, enhancing accuracy and decision-making.
The market research report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:
Amazon Web Services Inc.
Apple Inc.
Baidu
Cisco Systems Inc.
Facebook Inc.
General Electric Company
Google LLC (Alphabet Inc.)
International Business Machines
Intel Corporation
Micron Technology Inc.
Microsoft Corporation
Nvidia Corporation
Oracle Corporation
Rockwell Automation Inc.
Samsung Electronics Co. Ltd.
SAP SE
Siemens AG
Recent Developments:
Google LLC revealed the introduction of two advanced AI-powered solutions: the Target and Lead Identification Suite, along with the Multiomics Suite, designed specifically for the life sciences sector. These innovative offerings are designed to address the intricate challenges faced within the industry. The Target and Lead Identification Suite is engineered to streamline the process of identifying potential targets and leads, contributing to more efficient drug discovery and development. On the other hand, the Multiomics Suite, a sophisticated tool, facilitates comprehensive analysis by integrating diverse omics data, thereby enhancing insights into complex biological systems.
International Business Machines introduced its latest security solution known as the IBM Security QRadar Suite by integrating powerful analytics and threat detection capabilities, to fortify their security posture and safeguard sensitive data. This comprehensive suite is strategically designed to address the evolving landscape of cybersecurity challenges. With a focus on bolstering security measures, the IBM Security QRadar Suite combines advanced technologies and methodologies to provide a robust defense against modern threats. This suite encompasses a range of tools and features that enable organizations to proactively identify, analyze, and respond to potential security breaches.
Cisco Systems Inc. recently unveiled a series of AI-powered innovations for its Webex collaboration platform. These advancements represent Cisco's commitment to enhancing the collaborative experience and efficiency of its users. By integrating artificial intelligence, the Webex collaboration platform aims to elevate virtual interactions to a new level of effectiveness.
Key Questions Answered in This Report
1. What was the size of the global artificial intelligence market in 2022?
2. What is the expected growth rate of the global artificial intelligence market during 2023-2028?
3. What are the key factors driving the global artificial intelligence market?
4. What has been the impact of COVID-19 on the global artificial intelligence market?
5. What is the breakup of the global artificial intelligence market based on the type?
6. What is the breakup of the global artificial intelligence market based on the offering?
7. What is the breakup of the global artificial intelligence market based on the technology?
8. What is the breakup of the global artificial intelligence market based on the system?
9. What is the breakup of the global artificial intelligence market based on the end-use industry?
10. What are the key regions in the global artificial intelligence market?
11. Who are the key players/companies in the global artificial intelligence market?
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. It involves the creation of algorithms and systems that enable machines to perform tasks that typically require human cognitive functions, such as learning, reasoning, problem-solving, and decision-making. AI encompasses a wide range of technologies, including machine learning, natural language processing, and computer vision. Machine learning, a subset of AI, involves the development of algorithms that allow computers to learn from and make predictions or decisions based on data without explicit programming. Natural language processing enables machines to understand and interpret human language, facilitating communication between humans and computers. Additionally, computer vision empowers machines to interpret and analyze visual information from the world, similar to the way humans perceive and understand images.
The exponential increase in data generation and the availability of high-performance computing resources have enabled AI systems to process and analyze massive datasets, fostering the development of advanced AI algorithms and models. Additionally, AI-driven automation has the potential to streamline operations and enhance efficiency in various sectors, from manufacturing to logistics. Businesses are leveraging AI to optimize processes, reduce costs, and improve overall productivity. Other than this, AI-powered algorithms enable businesses to offer personalized experiences to customers, enhancing engagement and satisfaction. Recommendation systems, chatbots, and virtual assistants use AI to understand customer preferences and deliver tailored solutions. Besides this, AI is revolutionizing healthcare by aiding in diagnostics, drug discovery, and treatment development. Medical imaging analysis, predictive analytics, and genomics research are benefiting from AI-driven insights. In line with this, smart devices and the Internet of Things (IoT) are integrating AI for voice recognition, facial recognition, and predictive maintenance, contributing to the growth of AI in consumer electronics. Furthermore, AI is reshaping the financial industry with algorithmic trading, fraud detection, and risk assessment. Machine learning algorithms analyze market trends and predict investment opportunities. Moreover, breakthroughs in machine learning techniques, particularly deep learning, have enhanced the capabilities of AI systems in tasks such as image recognition, natural language understanding, and predictive analytics, leading to broader applications across industries.
Artificial Intelligence Market Trends/Drivers:
Data Proliferation and Processing Power
The digital age has generated an unprecedented amount of information, ranging from customer behavior data to sensor data from IoT devices. This wealth of data serves as the foundation for training AI algorithms and models. Moreover, the availability of high-performance computing resources, including GPUs and specialized AI hardware, has empowered researchers and developers to process and analyze these vast datasets at remarkable speeds. This synergy between data availability and processing power has unlocked the potential to develop sophisticated AI systems capable of recognizing patterns, making predictions, and deriving insights that were previously inaccessible.
Advancements in Machine Learning
Deep learning algorithms, inspired by neural networks, have shown exceptional performance in tasks such as image recognition, natural language understanding, and speech synthesis. These algorithms excel at automatically learning hierarchical features from raw data, enabling them to perform complex tasks with remarkable accuracy. Transfer learning, a technique within deep learning, allows models pre-trained on one task to be fine-tuned for another, reducing the need for extensive labeled data. Such advancements have lowered the barriers to entry for AI development and expanded its applicability in various domains, driving the integration of AI solutions into everyday technologies and processes.
Automation and Efficiency
Automation powered by AI technologies, such as robotic process automation (RPA) and autonomous systems, is eliminating repetitive and mundane tasks that previously consumed valuable human resources. This shift allows human workers to focus on higher-value tasks that require creativity, critical thinking, and problem-solving. Industries like manufacturing, logistics, and customer service are deploying AI-powered robots and systems to handle tasks ranging from inventory management to customer interactions. The result is not only increased productivity but also improved accuracy and consistency. Businesses are recognizing the potential of AI to transform their operations, leading to the widespread adoption of automation solutions that augment human capabilities and drive business growth.
Artificial Intelligence Industry Segmentation:
IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence market report, along with forecasts at the global, regional and country levels from 2023-2028. Our report has categorized the market based on type, offering, technology, system and end-use industry.
Breakup by Type:
Narrow/Weak Artificial Intelligence
General/Strong Artificial Intelligence
Narrow/weak artificial intelligence dominates the market
The report has provided a detailed breakup and analysis of the market based on the type. This includes narrow/weak artificial intelligence and general/strong artificial intelligence. According to the report, narrow/weak artificial intelligence represented the largest segment.
Unlike general or strong AI, which aims to replicate human-like cognitive abilities across a wide range of tasks, narrow AI is designed to excel in specific, well-defined tasks. This focused approach allows for more efficient development and deployment. Narrow AI technologies, such as machine learning and natural language processing, have demonstrated remarkable proficiency in tasks like image recognition, language translation, virtual assistants, and recommendation systems. This effectiveness has led to rapid adoption in sectors like healthcare, finance, e-commerce, and manufacturing, where the immediate benefits of automation, efficiency, and data-driven insights are highly valued. Additionally, the development of narrow AI systems often requires less complex algorithms and data, making it more accessible for businesses to implement and integrate into their existing workflows.
Breakup by Offering:
Hardware
Software
Services
Software holds the largest share in the market
A detailed breakup and analysis of the market based on the offering has also been provided in the report. This includes hardware, software, and services. According to the report, software accounted for the largest market share.
In the industry of artificial intelligence (AI), software plays a pivotal role as it serves as the foundation for developing, deploying, and managing AI applications. The accessibility of AI software frameworks, libraries, and tools has lowered the entry barriers for businesses, researchers, and developers to experiment with and integrate AI capabilities into their operations. Software offerings encompass a wide array of AI applications, from machine learning platforms to natural language processing APIs. This flexibility allows organizations to tailor AI solutions to their specific needs, whether it's optimizing supply chains, personalizing customer experiences, or automating decision-making processes. Furthermore, the cloud-based nature of many AI software solutions enables seamless scalability and updates, ensuring that businesses can stay abreast of the latest advancements without significant infrastructure investments.
Breakup by Technology:
Machine Learning
Natural Language Processing
Context-Aware Computing
Computer Vision
Others
Machine learning is the most widely used technology
The report has provided a detailed breakup and analysis of the market based on technology. This includes machine learning, natural language processing, context-aware computing, computer vision, and others. According to the report, machine learning represented the largest segment.
AI software serves as the intellectual core, housing algorithms, models, and data processing mechanisms that empower machines to simulate human cognitive functions. This software-driven approach offers unparalleled flexibility, enabling developers and businesses to tailor AI solutions to a diverse range of applications across industries. The accessibility of AI software tools and platforms has democratized AI development, allowing organizations to integrate AI functionalities into existing workflows and applications without extensive hardware investments. This accessibility, coupled with the rapid advancements in AI algorithms and techniques, ensures that software remains at the forefront of AI innovation. Moreover, the cloud-based deployment of AI software solutions facilitates scalability and updates, ensuring that businesses can stay current with the evolving AI landscape.
Breakup by System:
Intelligence Systems
Decision Support Processing
Hybrid Systems
Fuzzy Systems
Intelligence systems hold the largest share in the market
A detailed breakup and analysis of the market based on the system has also been provided in the report. This includes intelligence systems, decision support processing, hybrid systems, and fuzzy systems. According to the report, intelligence systems accounted for the largest market share.
Intelligence systems encompass a wide array of applications, ranging from virtual assistants and chatbots to advanced recommendation engines and predictive analytics platforms. These systems leverage AI algorithms to process vast amounts of data, derive meaningful insights, and facilitate informed decision-making. The appeal of intelligence systems lies in their ability to enhance efficiency, accuracy, and customer engagement across various sectors. Virtual assistants streamline customer interactions, while recommendation engines personalize user experiences, both of which contribute to improved satisfaction and retention. Furthermore, intelligence systems enable predictive analytics, enabling businesses to anticipate trends and optimize strategies.
Breakup by End Use Industry:
Healthcare
Manufacturing
Automotive
Agriculture
Retail
Security
Human Resources
Marketing
Financial Services
Transportation and Logistics
Others
Manufacturing represents the largest segment
The report has provided a detailed breakup and analysis of the market based on end use industry. This includes healthcare, manufacturing, automotive, agriculture, retail, security, human resources, marketing, financial services, transportation and logistics, and others. According to the report, manufacturing represented the largest segment.
AI technologies are revolutionizing manufacturing by enhancing operational efficiency, quality control, and product innovation. AI-driven automation optimizes production processes, leading to reduced downtime, higher productivity, and improved resource utilization. Manufacturing involves intricate tasks such as predictive maintenance, where AI algorithms analyze equipment data to predict maintenance needs, preventing costly breakdowns. Quality control benefits from AI-powered visual inspection systems that detect defects with exceptional accuracy. Additionally, AI-driven analytics aid in demand forecasting and supply chain optimization, ensuring efficient inventory management and minimizing production bottlenecks.
Breakup by Region:
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance in the market
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America was the largest market for artificial intelligence.
North America possesses a dense concentration of tech giants, research institutions, and startups, facilitating knowledge exchange and collaboration. Silicon Valley, in particular, serves as a global hub for AI research and development. The availability of venture capital funding in North America accelerates AI-driven entrepreneurship and disruptive solutions. Additionally, a skilled workforce proficient in AI technologies contributes to the region's competitive advantage. Major industries, including technology, healthcare, finance, and manufacturing, heavily invest in AI to gain a competitive edge, driving the market's growth. Moreover, North American governments promote AI research through funding and supportive policies. Collaboration between academia and industry propels AI advancements, while a receptive consumer base encourages AI adoption in products and services.
Competitive Landscape:
Major technology companies like Google, Microsoft, and IBM invest significantly in AI research and development, contributing to breakthroughs in algorithms, natural language processing, and machine learning frameworks. Additionally, tech leaders such as Facebook, OpenAI, and NVIDIA contribute to open-source AI projects, democratizing access to AI tools and accelerating development by fostering collaboration among developers. Other than this, organizations such as Apple, Amazon, and Intel acquire AI startups to harness their expertise and innovative solutions. Partnerships with research institutions and other industry players foster knowledge exchange and technology sharing. Besides this, financial institutions like JPMorgan Chase utilize AI for risk assessment, fraud detection, and trading algorithms, enhancing accuracy and decision-making.
The market research report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:
Amazon Web Services Inc.
Apple Inc.
Baidu
Cisco Systems Inc.
Facebook Inc.
General Electric Company
Google LLC (Alphabet Inc.)
International Business Machines
Intel Corporation
Micron Technology Inc.
Microsoft Corporation
Nvidia Corporation
Oracle Corporation
Rockwell Automation Inc.
Samsung Electronics Co. Ltd.
SAP SE
Siemens AG
Recent Developments:
Google LLC revealed the introduction of two advanced AI-powered solutions: the Target and Lead Identification Suite, along with the Multiomics Suite, designed specifically for the life sciences sector. These innovative offerings are designed to address the intricate challenges faced within the industry. The Target and Lead Identification Suite is engineered to streamline the process of identifying potential targets and leads, contributing to more efficient drug discovery and development. On the other hand, the Multiomics Suite, a sophisticated tool, facilitates comprehensive analysis by integrating diverse omics data, thereby enhancing insights into complex biological systems.
International Business Machines introduced its latest security solution known as the IBM Security QRadar Suite by integrating powerful analytics and threat detection capabilities, to fortify their security posture and safeguard sensitive data. This comprehensive suite is strategically designed to address the evolving landscape of cybersecurity challenges. With a focus on bolstering security measures, the IBM Security QRadar Suite combines advanced technologies and methodologies to provide a robust defense against modern threats. This suite encompasses a range of tools and features that enable organizations to proactively identify, analyze, and respond to potential security breaches.
Cisco Systems Inc. recently unveiled a series of AI-powered innovations for its Webex collaboration platform. These advancements represent Cisco's commitment to enhancing the collaborative experience and efficiency of its users. By integrating artificial intelligence, the Webex collaboration platform aims to elevate virtual interactions to a new level of effectiveness.
Key Questions Answered in This Report
1. What was the size of the global artificial intelligence market in 2022?
2. What is the expected growth rate of the global artificial intelligence market during 2023-2028?
3. What are the key factors driving the global artificial intelligence market?
4. What has been the impact of COVID-19 on the global artificial intelligence market?
5. What is the breakup of the global artificial intelligence market based on the type?
6. What is the breakup of the global artificial intelligence market based on the offering?
7. What is the breakup of the global artificial intelligence market based on the technology?
8. What is the breakup of the global artificial intelligence market based on the system?
9. What is the breakup of the global artificial intelligence market based on the end-use industry?
10. What are the key regions in the global artificial intelligence market?
11. Who are the key players/companies in the global artificial intelligence market?
1 PREFACE
2 SCOPE AND METHODOLOGY
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 EXECUTIVE SUMMARY
4 INTRODUCTION
4.1 Overview
4.2 Key Industry Trends
5 GLOBAL ARTIFICIAL INTELLIGENCE MARKET
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast
6 MARKET BREAKUP BY TYPE
6.1 Narrow/Weak Artificial Intelligence
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 General/Strong Artificial Intelligence
6.2.1 Market Trends
6.2.2 Market Forecast
7 MARKET BREAKUP BY OFFERING
7.1 Hardware
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Software
7.2.1 Market Trends
7.2.2 Market Forecast
7.3 Services
7.3.1 Market Trends
7.3.2 Market Forecast
8 MARKET BREAKUP BY TECHNOLOGY
8.1 Machine Learning
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Natural Language Processing
8.2.1 Market Trends
8.2.2 Market Forecast
8.3 Context-Aware Computing
8.3.1 Market Trends
8.3.2 Market Forecast
8.4 Computer Vision
8.4.1 Market Trends
8.4.2 Market Forecast
8.5 Others
8.5.1 Market Trends
8.5.2 Market Forecast
9 MARKET BREAKUP BY SYSTEM
9.1 Intelligence Systems
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 Decision Support Processing
9.2.1 Market Trends
9.2.2 Market Forecast
9.3 Hybrid Systems
9.3.1 Market Trends
9.3.2 Market Forecast
9.4 Fuzzy Systems
9.4.1 Market Trends
9.4.2 Market Forecast
10 MARKET BREAKUP BY END-USE INDUSTRY
10.1 Healthcare
10.1.1 Market Trends
10.1.2 Market Forecast
10.2 Manufacturing
10.2.1 Market Trends
10.2.2 Market Forecast
10.3 Automotive
10.3.1 Market Trends
10.3.2 Market Forecast
10.4 Agriculture
10.4.1 Market Trends
10.4.2 Market Forecast
10.5 Retail
10.5.1 Market Trends
10.5.2 Market Forecast
10.6 Security
10.6.1 Market Trends
10.6.2 Market Forecast
10.7 Human Resources
10.7.1 Market Trends
10.7.2 Market Forecast
10.8 Marketing
10.8.1 Market Trends
10.8.2 Market Forecast
10.9 Financial Services
10.9.1 Market Trends
10.9.2 Market Forecast
10.10 Transportation and Logistics
10.10.1 Market Trends
10.10.2 Market Forecast
10.11 Others
10.11.1 Market Trends
10.11.2 Market Forecast
11 MARKET BREAKUP BY REGION
11.1 North America
11.1.1 United States
11.1.1.1 Market Trends
11.1.1.2 Market Forecast
11.1.2 Canada
11.1.2.1 Market Trends
11.1.2.2 Market Forecast
11.2 Asia Pacific
11.2.1 China
11.2.1.1 Market Trends
11.2.1.2 Market Forecast
11.2.2 Japan
11.2.2.1 Market Trends
11.2.2.2 Market Forecast
11.2.3 India
11.2.3.1 Market Trends
11.2.3.2 Market Forecast
11.2.4 South Korea
11.2.4.1 Market Trends
11.2.4.2 Market Forecast
11.2.5 Australia
11.2.5.1 Market Trends
11.2.5.2 Market Forecast
11.2.6 Indonesia
11.2.6.1 Market Trends
11.2.6.2 Market Forecast
11.2.7 Others
11.2.7.1 Market Trends
11.2.7.2 Market Forecast
11.3 Europe
11.3.1 Germany
11.3.1.1 Market Trends
11.3.1.2 Market Forecast
11.3.2 France
11.3.2.1 Market Trends
11.3.2.2 Market Forecast
11.3.3 United Kingdom
11.3.3.1 Market Trends
11.3.3.2 Market Forecast
11.3.4 Italy
11.3.4.1 Market Trends
11.3.4.2 Market Forecast
11.3.5 Spain
11.3.5.1 Market Trends
11.3.5.2 Market Forecast
11.3.6 Russia
11.3.6.1 Market Trends
11.3.6.2 Market Forecast
11.3.7 Others
11.3.7.1 Market Trends
11.3.7.2 Market Forecast
11.4 Latin America
11.4.1 Brazil
11.4.1.1 Market Trends
11.4.1.2 Market Forecast
11.4.2 Mexico
11.4.2.1 Market Trends
11.4.2.2 Market Forecast
11.4.3 Others
11.4.3.1 Market Trends
11.4.3.2 Market Forecast
11.5 Middle East and Africa
11.5.1 Market Trends
11.5.2 Market Breakup by Country
11.5.3 Market Forecast
12 SWOT ANALYSIS
12.1 Overview
12.2 Strengths
12.3 Weaknesses
12.4 Opportunities
12.5 Threats
13 VALUE CHAIN ANALYSIS
14 PORTERS FIVE FORCES ANALYSIS
14.1 Overview
14.2 Bargaining Power of Buyers
14.3 Bargaining Power of Suppliers
14.4 Degree of Competition
14.5 Threat of New Entrants
14.6 Threat of Substitutes
15 PRICE INDICATORS
16 COMPETITIVE LANDSCAPE
16.1 Market Structure
16.2 Key Players
16.3 Profiles of Key Players
16.3.1 Amazon Web Services Inc.
16.3.1.1 Company Overview
16.3.1.2 Product Portfolio
16.3.2 Apple Inc.
16.3.2.1 Company Overview
16.3.2.2 Product Portfolio
16.3.2.3 Financials
16.3.2.4 SWOT Analysis
16.3.3 Baidu
16.3.3.1 Company Overview
16.3.3.2 Product Portfolio
16.3.4 Cisco Systems Inc.
16.3.4.1 Company Overview
16.3.4.2 Product Portfolio
16.3.4.3 Financials
16.3.4.4 SWOT Analysis
16.3.5 Facebook Inc.
16.3.5.1 Company Overview
16.3.5.2 Product Portfolio
16.3.5.3 Financials
16.3.5.4 SWOT Analysis
16.3.6 General Electric Company
16.3.6.1 Company Overview
16.3.6.2 Product Portfolio
16.3.6.3 Financials
16.3.6.4 SWOT Analysis
16.3.7 Google LLC (Alphabet Inc.)
16.3.7.1 Company Overview
16.3.7.2 Product Portfolio
16.3.7.3 SWOT Analysis
16.3.8 International Business Machines
16.3.8.1 Company Overview
16.3.8.2 Product Portfolio
16.3.8.3 Financials
16.3.8.4 SWOT Analysis
16.3.9 Intel Corporation
16.3.9.1 Company Overview
16.3.9.2 Product Portfolio
16.3.9.3 Financials
16.3.9.4 SWOT Analysis
16.3.10 Micron Technology Inc.
16.3.10.1 Company Overview
16.3.10.2 Product Portfolio
16.3.10.3 Financials
16.3.10.4 SWOT Analysis
16.3.11 Microsoft Corporation
16.3.11.1 Company Overview
16.3.11.2 Product Portfolio
16.3.11.3 Financials
16.3.11.4 SWOT Analysis
16.3.12 Nvidia Corporation
16.3.12.1 Company Overview
16.3.12.2 Product Portfolio
16.3.12.3 Financials
16.3.12.4 SWOT Analysis
16.3.13 Oracle Corporation
16.3.13.1 Company Overview
16.3.13.2 Product Portfolio
16.3.13.3 Financials
16.3.13.4 SWOT Analysis
16.3.14 Rockwell Automation Inc.
16.3.14.1 Company Overview
16.3.14.2 Product Portfolio
16.3.14.3 Financials
16.3.14.4 SWOT Analysis
16.3.15 Samsung Electronics Co. Ltd.
16.3.15.1 Company Overview
16.3.15.2 Product Portfolio
16.3.15.3 Financials
16.3.15.4 SWOT Analysis
16.3.16 SAP SE
16.3.16.1 Company Overview
16.3.16.2 Product Portfolio
16.3.16.3 Financials
16.3.16.4 SWOT Analysis
16.3.17 Siemens AG
16.3.17.1 Company Overview
16.3.17.2 Product Portfolio
16.3.17.3 Financials
16.3.17.4 SWOT Analysis
2 SCOPE AND METHODOLOGY
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 EXECUTIVE SUMMARY
4 INTRODUCTION
4.1 Overview
4.2 Key Industry Trends
5 GLOBAL ARTIFICIAL INTELLIGENCE MARKET
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast
6 MARKET BREAKUP BY TYPE
6.1 Narrow/Weak Artificial Intelligence
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 General/Strong Artificial Intelligence
6.2.1 Market Trends
6.2.2 Market Forecast
7 MARKET BREAKUP BY OFFERING
7.1 Hardware
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Software
7.2.1 Market Trends
7.2.2 Market Forecast
7.3 Services
7.3.1 Market Trends
7.3.2 Market Forecast
8 MARKET BREAKUP BY TECHNOLOGY
8.1 Machine Learning
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Natural Language Processing
8.2.1 Market Trends
8.2.2 Market Forecast
8.3 Context-Aware Computing
8.3.1 Market Trends
8.3.2 Market Forecast
8.4 Computer Vision
8.4.1 Market Trends
8.4.2 Market Forecast
8.5 Others
8.5.1 Market Trends
8.5.2 Market Forecast
9 MARKET BREAKUP BY SYSTEM
9.1 Intelligence Systems
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 Decision Support Processing
9.2.1 Market Trends
9.2.2 Market Forecast
9.3 Hybrid Systems
9.3.1 Market Trends
9.3.2 Market Forecast
9.4 Fuzzy Systems
9.4.1 Market Trends
9.4.2 Market Forecast
10 MARKET BREAKUP BY END-USE INDUSTRY
10.1 Healthcare
10.1.1 Market Trends
10.1.2 Market Forecast
10.2 Manufacturing
10.2.1 Market Trends
10.2.2 Market Forecast
10.3 Automotive
10.3.1 Market Trends
10.3.2 Market Forecast
10.4 Agriculture
10.4.1 Market Trends
10.4.2 Market Forecast
10.5 Retail
10.5.1 Market Trends
10.5.2 Market Forecast
10.6 Security
10.6.1 Market Trends
10.6.2 Market Forecast
10.7 Human Resources
10.7.1 Market Trends
10.7.2 Market Forecast
10.8 Marketing
10.8.1 Market Trends
10.8.2 Market Forecast
10.9 Financial Services
10.9.1 Market Trends
10.9.2 Market Forecast
10.10 Transportation and Logistics
10.10.1 Market Trends
10.10.2 Market Forecast
10.11 Others
10.11.1 Market Trends
10.11.2 Market Forecast
11 MARKET BREAKUP BY REGION
11.1 North America
11.1.1 United States
11.1.1.1 Market Trends
11.1.1.2 Market Forecast
11.1.2 Canada
11.1.2.1 Market Trends
11.1.2.2 Market Forecast
11.2 Asia Pacific
11.2.1 China
11.2.1.1 Market Trends
11.2.1.2 Market Forecast
11.2.2 Japan
11.2.2.1 Market Trends
11.2.2.2 Market Forecast
11.2.3 India
11.2.3.1 Market Trends
11.2.3.2 Market Forecast
11.2.4 South Korea
11.2.4.1 Market Trends
11.2.4.2 Market Forecast
11.2.5 Australia
11.2.5.1 Market Trends
11.2.5.2 Market Forecast
11.2.6 Indonesia
11.2.6.1 Market Trends
11.2.6.2 Market Forecast
11.2.7 Others
11.2.7.1 Market Trends
11.2.7.2 Market Forecast
11.3 Europe
11.3.1 Germany
11.3.1.1 Market Trends
11.3.1.2 Market Forecast
11.3.2 France
11.3.2.1 Market Trends
11.3.2.2 Market Forecast
11.3.3 United Kingdom
11.3.3.1 Market Trends
11.3.3.2 Market Forecast
11.3.4 Italy
11.3.4.1 Market Trends
11.3.4.2 Market Forecast
11.3.5 Spain
11.3.5.1 Market Trends
11.3.5.2 Market Forecast
11.3.6 Russia
11.3.6.1 Market Trends
11.3.6.2 Market Forecast
11.3.7 Others
11.3.7.1 Market Trends
11.3.7.2 Market Forecast
11.4 Latin America
11.4.1 Brazil
11.4.1.1 Market Trends
11.4.1.2 Market Forecast
11.4.2 Mexico
11.4.2.1 Market Trends
11.4.2.2 Market Forecast
11.4.3 Others
11.4.3.1 Market Trends
11.4.3.2 Market Forecast
11.5 Middle East and Africa
11.5.1 Market Trends
11.5.2 Market Breakup by Country
11.5.3 Market Forecast
12 SWOT ANALYSIS
12.1 Overview
12.2 Strengths
12.3 Weaknesses
12.4 Opportunities
12.5 Threats
13 VALUE CHAIN ANALYSIS
14 PORTERS FIVE FORCES ANALYSIS
14.1 Overview
14.2 Bargaining Power of Buyers
14.3 Bargaining Power of Suppliers
14.4 Degree of Competition
14.5 Threat of New Entrants
14.6 Threat of Substitutes
15 PRICE INDICATORS
16 COMPETITIVE LANDSCAPE
16.1 Market Structure
16.2 Key Players
16.3 Profiles of Key Players
16.3.1 Amazon Web Services Inc.
16.3.1.1 Company Overview
16.3.1.2 Product Portfolio
16.3.2 Apple Inc.
16.3.2.1 Company Overview
16.3.2.2 Product Portfolio
16.3.2.3 Financials
16.3.2.4 SWOT Analysis
16.3.3 Baidu
16.3.3.1 Company Overview
16.3.3.2 Product Portfolio
16.3.4 Cisco Systems Inc.
16.3.4.1 Company Overview
16.3.4.2 Product Portfolio
16.3.4.3 Financials
16.3.4.4 SWOT Analysis
16.3.5 Facebook Inc.
16.3.5.1 Company Overview
16.3.5.2 Product Portfolio
16.3.5.3 Financials
16.3.5.4 SWOT Analysis
16.3.6 General Electric Company
16.3.6.1 Company Overview
16.3.6.2 Product Portfolio
16.3.6.3 Financials
16.3.6.4 SWOT Analysis
16.3.7 Google LLC (Alphabet Inc.)
16.3.7.1 Company Overview
16.3.7.2 Product Portfolio
16.3.7.3 SWOT Analysis
16.3.8 International Business Machines
16.3.8.1 Company Overview
16.3.8.2 Product Portfolio
16.3.8.3 Financials
16.3.8.4 SWOT Analysis
16.3.9 Intel Corporation
16.3.9.1 Company Overview
16.3.9.2 Product Portfolio
16.3.9.3 Financials
16.3.9.4 SWOT Analysis
16.3.10 Micron Technology Inc.
16.3.10.1 Company Overview
16.3.10.2 Product Portfolio
16.3.10.3 Financials
16.3.10.4 SWOT Analysis
16.3.11 Microsoft Corporation
16.3.11.1 Company Overview
16.3.11.2 Product Portfolio
16.3.11.3 Financials
16.3.11.4 SWOT Analysis
16.3.12 Nvidia Corporation
16.3.12.1 Company Overview
16.3.12.2 Product Portfolio
16.3.12.3 Financials
16.3.12.4 SWOT Analysis
16.3.13 Oracle Corporation
16.3.13.1 Company Overview
16.3.13.2 Product Portfolio
16.3.13.3 Financials
16.3.13.4 SWOT Analysis
16.3.14 Rockwell Automation Inc.
16.3.14.1 Company Overview
16.3.14.2 Product Portfolio
16.3.14.3 Financials
16.3.14.4 SWOT Analysis
16.3.15 Samsung Electronics Co. Ltd.
16.3.15.1 Company Overview
16.3.15.2 Product Portfolio
16.3.15.3 Financials
16.3.15.4 SWOT Analysis
16.3.16 SAP SE
16.3.16.1 Company Overview
16.3.16.2 Product Portfolio
16.3.16.3 Financials
16.3.16.4 SWOT Analysis
16.3.17 Siemens AG
16.3.17.1 Company Overview
16.3.17.2 Product Portfolio
16.3.17.3 Financials
16.3.17.4 SWOT Analysis
LIST OF TABLES
Table 1: Global: Artificial Intelligence Market: Key Industry Highlights, 2022 and 2028
Table 2: Global: Artificial Intelligence Market Forecast: Breakup by Type (in Million US$), 2023-2028
Table 3: Global: Artificial Intelligence Market Forecast: Breakup by Offering (in Million US$), 2023-2028
Table 4: Global: Artificial Intelligence Market Forecast: Breakup by Technology (in Million US$), 2023-2028
Table 5: Global: Artificial Intelligence Market Forecast: Breakup by System (in Million US$), 2023-2028
Table 6: Global: Artificial Intelligence Market Forecast: Breakup by End-Use Industry (in Million US$), 2023-2028
Table 7: Global: Artificial Intelligence Market Forecast: Breakup by Region (in Million US$), 2023-2028
Table 8: Global: Artificial Intelligence Market Structure
Table 9: Global: Artificial Intelligence Market: Key Players
Table 1: Global: Artificial Intelligence Market: Key Industry Highlights, 2022 and 2028
Table 2: Global: Artificial Intelligence Market Forecast: Breakup by Type (in Million US$), 2023-2028
Table 3: Global: Artificial Intelligence Market Forecast: Breakup by Offering (in Million US$), 2023-2028
Table 4: Global: Artificial Intelligence Market Forecast: Breakup by Technology (in Million US$), 2023-2028
Table 5: Global: Artificial Intelligence Market Forecast: Breakup by System (in Million US$), 2023-2028
Table 6: Global: Artificial Intelligence Market Forecast: Breakup by End-Use Industry (in Million US$), 2023-2028
Table 7: Global: Artificial Intelligence Market Forecast: Breakup by Region (in Million US$), 2023-2028
Table 8: Global: Artificial Intelligence Market Structure
Table 9: Global: Artificial Intelligence Market: Key Players
LIST OF FIGURES
Figure 1: Global: Artificial Intelligence Market: Major Drivers and Challenges
Figure 2: Global: Artificial Intelligence Market: Sales Value (in Billion US$), 2017-2022
Figure 3: Global: Artificial Intelligence Market: Breakup by Type (in %), 2022
Figure 4: Global: Artificial Intelligence Market: Breakup by Offering (in %), 2022
Figure 5: Global: Artificial Intelligence Market: Breakup by Technology (in %), 2022
Figure 6: Global: Artificial Intelligence Market: Breakup by System (in %), 2022
Figure 7: Global: Artificial Intelligence Market: Breakup by End-Use Industry (in %), 2022
Figure 8: Global: Artificial Intelligence Market: Breakup by Region (in %), 2022
Figure 9: Global: Artificial Intelligence Market Forecast: Sales Value (in Billion US$), 2023-2028
Figure 10: Global: Artificial Intelligence (Narrow/Weak Artificial Intelligence) Market: Sales Value (in Million US$), 2017 & 2022
Figure 11: Global: Artificial Intelligence (Narrow/Weak Artificial Intelligence) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 12: Global: Artificial Intelligence (General/Strong Artificial Intelligence) Market: Sales Value (in Million US$), 2017 & 2022
Figure 13: Global: Artificial Intelligence (General/Strong Artificial Intelligence) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 14: Global: Artificial Intelligence (Hardware) Market: Sales Value (in Million US$), 2017 & 2022
Figure 15: Global: Artificial Intelligence (Hardware) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 16: Global: Artificial Intelligence (Software) Market: Sales Value (in Million US$), 2017 & 2022
Figure 17: Global: Artificial Intelligence (Software) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 18: Global: Artificial Intelligence (Services) Market: Sales Value (in Million US$), 2017 & 2022
Figure 19: Global: Artificial Intelligence (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 20: Global: Artificial Intelligence (Machine Learning) Market: Sales Value (in Million US$), 2017 & 2022
Figure 21: Global: Artificial Intelligence (Machine Learning) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 22: Global: Artificial Intelligence (Natural Language Processing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 23: Global: Artificial Intelligence (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 24: Global: Artificial Intelligence (Context-Aware Computing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 25: Global: Artificial Intelligence (Context-Aware Computing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 26: Global: Artificial Intelligence (Computer Vision) Market: Sales Value (in Million US$), 2017 & 2022
Figure 27: Global: Artificial Intelligence (Computer Vision) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 28: Global: Artificial Intelligence (Other Technologies) Market: Sales Value (in Million US$), 2017 & 2022
Figure 29: Global: Artificial Intelligence (Other Technologies) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 30: Global: Artificial Intelligence (Intelligence Systems) Market: Sales Value (in Million US$), 2017 & 2022
Figure 31: Global: Artificial Intelligence (Intelligence Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 32: Global: Artificial Intelligence (Decision Support Processing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 33: Global: Artificial Intelligence (Decision Support Processing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 34: Global: Artificial Intelligence (Hybrid Systems) Market: Sales Value (in Million US$), 2017 & 2022
Figure 35: Global: Artificial Intelligence (Hybrid Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 36: Global: Artificial Intelligence (Fuzzy Systems) Market: Sales Value (in Million US$), 2017 & 2022
Figure 37: Global: Artificial Intelligence (Fuzzy Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 38: Global: Artificial Intelligence (Healthcare) Market: Sales Value (in Million US$), 2017 & 2022
Figure 39: Global: Artificial Intelligence (Healthcare) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 40: Global: Artificial Intelligence (Manufacturing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 41: Global: Artificial Intelligence (Manufacturing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 42: Global: Artificial Intelligence (Automotive) Market: Sales Value (in Million US$), 2017 & 2022
Figure 43: Global: Artificial Intelligence (Automotive) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 44: Global: Artificial Intelligence (Agriculture) Market: Sales Value (in Million US$), 2017 & 2022
Figure 45: Global: Artificial Intelligence (Agriculture) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 46: Global: Artificial Intelligence (Retail) Market: Sales Value (in Million US$), 2017 & 2022
Figure 47: Global: Artificial Intelligence (Retail) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 48: Global: Artificial Intelligence (Security) Market: Sales Value (in Million US$), 2017 & 2022
Figure 49: Global: Artificial Intelligence (Security) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 50: Global: Artificial Intelligence (Human Resources) Market: Sales Value (in Million US$), 2017 & 2022
Figure 51: Global: Artificial Intelligence (Human Resources) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 52: Global: Artificial Intelligence (Marketing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 53: Global: Artificial Intelligence (Marketing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 54: Global: Artificial Intelligence (Financial Services) Market: Sales Value (in Million US$), 2017 & 2022
Figure 55: Global: Artificial Intelligence (Financial Services) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 56: Global: Artificial Intelligence (Transportation and Logistics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 57: Global: Artificial Intelligence (Transportation and Logistics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 58: Global: Artificial Intelligence (Others) Market: Sales Value (in Million US$), 2017 & 2022
Figure 59: Global: Artificial Intelligence (Others) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 60: North America: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 61: North America: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 62: United States: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 63: United States: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 64: Canada: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 65: Canada: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 66: Asia Pacific: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 67: Asia Pacific: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 68: China: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 69: China: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 70: Japan: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 71: Japan: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 72: India: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 73: India: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 74: South Korea: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 75: South Korea: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 76: Australia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 77: Australia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 78: Indonesia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 79: Indonesia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 80: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 81: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 82: Europe: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 83: Europe: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 84: Germany: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 85: Germany: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 86: France: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 87: France: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 88: United Kingdom: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 89: United Kingdom: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 90: Italy: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 91: Italy: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 92: Spain: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 93: Spain: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 94: Russia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 95: Russia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 96: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 97: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 98: Latin America: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 99: Latin America: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 100: Brazil: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 101: Brazil: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 102: Mexico: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 103: Mexico: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 104: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 105: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 106: Middle East and Africa: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 107: Middle East and Africa: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 108: Global: Artificial Intelligence Industry: SWOT Analysis
Figure 109: Global: Artificial Intelligence Industry: Value Chain Analysis
Figure 110: Global: Artificial Intelligence Industry: Porter’s Five Forces Analysis
Figure 1: Global: Artificial Intelligence Market: Major Drivers and Challenges
Figure 2: Global: Artificial Intelligence Market: Sales Value (in Billion US$), 2017-2022
Figure 3: Global: Artificial Intelligence Market: Breakup by Type (in %), 2022
Figure 4: Global: Artificial Intelligence Market: Breakup by Offering (in %), 2022
Figure 5: Global: Artificial Intelligence Market: Breakup by Technology (in %), 2022
Figure 6: Global: Artificial Intelligence Market: Breakup by System (in %), 2022
Figure 7: Global: Artificial Intelligence Market: Breakup by End-Use Industry (in %), 2022
Figure 8: Global: Artificial Intelligence Market: Breakup by Region (in %), 2022
Figure 9: Global: Artificial Intelligence Market Forecast: Sales Value (in Billion US$), 2023-2028
Figure 10: Global: Artificial Intelligence (Narrow/Weak Artificial Intelligence) Market: Sales Value (in Million US$), 2017 & 2022
Figure 11: Global: Artificial Intelligence (Narrow/Weak Artificial Intelligence) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 12: Global: Artificial Intelligence (General/Strong Artificial Intelligence) Market: Sales Value (in Million US$), 2017 & 2022
Figure 13: Global: Artificial Intelligence (General/Strong Artificial Intelligence) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 14: Global: Artificial Intelligence (Hardware) Market: Sales Value (in Million US$), 2017 & 2022
Figure 15: Global: Artificial Intelligence (Hardware) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 16: Global: Artificial Intelligence (Software) Market: Sales Value (in Million US$), 2017 & 2022
Figure 17: Global: Artificial Intelligence (Software) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 18: Global: Artificial Intelligence (Services) Market: Sales Value (in Million US$), 2017 & 2022
Figure 19: Global: Artificial Intelligence (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 20: Global: Artificial Intelligence (Machine Learning) Market: Sales Value (in Million US$), 2017 & 2022
Figure 21: Global: Artificial Intelligence (Machine Learning) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 22: Global: Artificial Intelligence (Natural Language Processing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 23: Global: Artificial Intelligence (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 24: Global: Artificial Intelligence (Context-Aware Computing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 25: Global: Artificial Intelligence (Context-Aware Computing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 26: Global: Artificial Intelligence (Computer Vision) Market: Sales Value (in Million US$), 2017 & 2022
Figure 27: Global: Artificial Intelligence (Computer Vision) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 28: Global: Artificial Intelligence (Other Technologies) Market: Sales Value (in Million US$), 2017 & 2022
Figure 29: Global: Artificial Intelligence (Other Technologies) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 30: Global: Artificial Intelligence (Intelligence Systems) Market: Sales Value (in Million US$), 2017 & 2022
Figure 31: Global: Artificial Intelligence (Intelligence Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 32: Global: Artificial Intelligence (Decision Support Processing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 33: Global: Artificial Intelligence (Decision Support Processing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 34: Global: Artificial Intelligence (Hybrid Systems) Market: Sales Value (in Million US$), 2017 & 2022
Figure 35: Global: Artificial Intelligence (Hybrid Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 36: Global: Artificial Intelligence (Fuzzy Systems) Market: Sales Value (in Million US$), 2017 & 2022
Figure 37: Global: Artificial Intelligence (Fuzzy Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 38: Global: Artificial Intelligence (Healthcare) Market: Sales Value (in Million US$), 2017 & 2022
Figure 39: Global: Artificial Intelligence (Healthcare) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 40: Global: Artificial Intelligence (Manufacturing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 41: Global: Artificial Intelligence (Manufacturing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 42: Global: Artificial Intelligence (Automotive) Market: Sales Value (in Million US$), 2017 & 2022
Figure 43: Global: Artificial Intelligence (Automotive) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 44: Global: Artificial Intelligence (Agriculture) Market: Sales Value (in Million US$), 2017 & 2022
Figure 45: Global: Artificial Intelligence (Agriculture) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 46: Global: Artificial Intelligence (Retail) Market: Sales Value (in Million US$), 2017 & 2022
Figure 47: Global: Artificial Intelligence (Retail) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 48: Global: Artificial Intelligence (Security) Market: Sales Value (in Million US$), 2017 & 2022
Figure 49: Global: Artificial Intelligence (Security) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 50: Global: Artificial Intelligence (Human Resources) Market: Sales Value (in Million US$), 2017 & 2022
Figure 51: Global: Artificial Intelligence (Human Resources) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 52: Global: Artificial Intelligence (Marketing) Market: Sales Value (in Million US$), 2017 & 2022
Figure 53: Global: Artificial Intelligence (Marketing) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 54: Global: Artificial Intelligence (Financial Services) Market: Sales Value (in Million US$), 2017 & 2022
Figure 55: Global: Artificial Intelligence (Financial Services) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 56: Global: Artificial Intelligence (Transportation and Logistics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 57: Global: Artificial Intelligence (Transportation and Logistics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 58: Global: Artificial Intelligence (Others) Market: Sales Value (in Million US$), 2017 & 2022
Figure 59: Global: Artificial Intelligence (Others) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 60: North America: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 61: North America: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 62: United States: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 63: United States: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 64: Canada: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 65: Canada: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 66: Asia Pacific: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 67: Asia Pacific: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 68: China: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 69: China: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 70: Japan: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 71: Japan: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 72: India: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 73: India: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 74: South Korea: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 75: South Korea: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 76: Australia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 77: Australia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 78: Indonesia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 79: Indonesia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 80: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 81: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 82: Europe: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 83: Europe: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 84: Germany: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 85: Germany: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 86: France: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 87: France: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 88: United Kingdom: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 89: United Kingdom: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 90: Italy: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 91: Italy: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 92: Spain: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 93: Spain: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 94: Russia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 95: Russia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 96: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 97: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 98: Latin America: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 99: Latin America: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 100: Brazil: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 101: Brazil: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 102: Mexico: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 103: Mexico: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 104: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 105: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 106: Middle East and Africa: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
Figure 107: Middle East and Africa: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 108: Global: Artificial Intelligence Industry: SWOT Analysis
Figure 109: Global: Artificial Intelligence Industry: Value Chain Analysis
Figure 110: Global: Artificial Intelligence Industry: Porter’s Five Forces Analysis
