Artificial Intelligence Market Assessment, By Component [Hardware, Software and Services], By Type [Artificial Narrow Intelligence, Artificial General Intelligence, Artificial Superintelligence, and Others], By Technology [Natural Language Generation, Speech Recognition, Machine Learning Platforms, AI Optimized Hardware, Robotic Process Automation, Text Analytics and Natural Language Processing, and Others], By Deployment [Cloud-Based, and On-premises], and End-user [Healthcare, Education, BFSI, Agriculture, Automotive and Transportation, IT and Telecommunication, Government & Defense, and Others], By Region, Opportunities, and Forecast, 2016-2030F

Global Artificial Intelligence market has witnessed substantial expansion in the past few years and is predicted to continue growing at a robust pace in the future. With an estimated value of around USD 158.27 billion in 2022, the market is anticipated to achieve a value of USD 1371 billion by 2030, exhibiting a strong CAGR of 30.98% during the forecasted period from 2023 to 2030.

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The Global Artificial Intelligence market has witnessed substantial expansion in the past few years and is predicted to continue growing at a robust pace in the future. With an estimated value of around USD 158.27 billion in 2022, the market is anticipated to achieve a value of USD 1371 billion by 2030, exhibiting a strong CAGR of 30.98% during the forecasted period from 2023 to 2030.

The market is experiencing significant growth due to several driving factors such as increasing adoption of AI in various industries, such as healthcare, BFSI, and manufacturing, technological advancements in machine learning and deep learning algorithms, as well as the availability of huge volumes of data for analysis. Additionally, the growing investment in AI research and development by major companies and governments worldwide are further fuelling the market growth.

Natural Language Processing (NLP) plays a crucial role in Artificial Intelligence (AI) as it enables machines to understand, interpret, and generate human language. NLP helps bridge the communication gap between humans and machines by facilitating interactions through speech or text. It enables AI systems to comprehend and extract meaning from unstructured data, such as social media posts, customer reviews or medical records. NLP is useful in various AI applications, including chatbots, virtual assistants, language translation, sentiment analysis, and information retrieval. By incorporating NLP, AI systems can process and analyze huge volumes of textual data, enabling more accurate decision-making, personalized user experiences, and improved human-machine interactions. Chatbots utilize NLP techniques as a key component of their functionality in Artificial Intelligence (AI) systems. NLP enables chatbots to understand and interpret human language, allowing them to effectively communicate with users in a conversational manner.

For example, ROSE AI chatbot, which is an innovative artificial intelligence model that employs advanced techniques in natural language processing (NLP) and machine learning to deliver tailored and contextually appropriate responses across social media platforms. ROSE AI offers intelligent and empathetic interactions that closely resemble human engagement. Moreover, this AI model has the potential to revolutionize online social interaction, enhancing user’s experiences with greater interactivity, engagement, and personalization on social media platforms.

Advancements in Machine Learning Algorithms

Machine learning algorithms are continuously advancing in the field of AI. These advancements have led to improved accuracy, efficiency, and scalability in AI systems. Innovations such as deep learning, reinforcement learning, and transfer learning have enhanced the capabilities of AI models, allowing them to process huge volumes of data, recognize complex patterns and make more accurate predictions. Furthermore, these advancements have opened the path to various applications of AI, including facial recognition, autonomous vehicles, among others. Facial recognition in AI is a technology that uses artificial intelligence algorithms to identify and verify individuals based on their unique facial features, allowing for applications in security, access control, and authentication. In 2023, Pew Research Center, a renowned research institute stated that, around 36% of Americans have trust in technology companies to responsibly handle facial recognition technology. The acceptance level for specific uses of facial recognition varies, with less than 40% finding it acceptable for tracking residential building access, monitoring employee attendance (at 30%), or real-time monitoring of people's responses to advertising displays (at 15%). However, approximately 73% of the adults in the United States believe that facial recognition is somewhat effective in accurately identifying individuals. Additionally, nearly 50% of Americans support the use of facial recognition in stores, provided it helps catch shoplifters.

AI in Biomedical and Behavioral Research

There is a growing emphasis on expanding the application of artificial intelligence (AI) in biomedical and behavioral research. This involves implementing AI technologies to enhance data analysis, prediction models, and decision-making processes in these fields. By leveraging AI algorithms and machine learning techniques, researchers can uncover patterns, identify trends, and gain valuable insights from huge and complex datasets. Moreover, the broader utilization of AI in biomedical and behavioral research has the potential to accelerate discoveries, improve diagnostic accuracy, enhance treatment effectiveness, and advance the understanding of human behavior and health.

For instance, on September 13th, 2022, National Institute of Health (NIH) launched the Bridge2AI program for expansion of AI in biomedical as well as in behavioral research. The National Institutes of Health (NIH) plans to invest USD 130 million over four years to accelerate the widespread adoption of artificial intelligence (AI) in biomedical and behavioral research. The NIH Common Fund's Bridge to Artificial Intelligence (Bridge2AI) program aims to bring together experts from diverse fields to develop AI tools, resources, and comprehensive datasets.

North America Dominates

North America has emerged as a dominant force in the growth of the AI market due to several key factors. Firstly, the region has a strong foundation in technology and innovation, with leading companies and research institutions driving advancements in AI. Additionally, North America attracts significant investments in AI research and development, bolstering its growth. The presence of a robust startup ecosystem, venture capital funding, and a supportive regulatory environment further contribute to the region's dominance. Moreover, North America benefits from a large market size, early adoption of AI technologies across industries, and a skilled workforce specializing in AI.

These factors collectively position North America as a leader in the global artificial intelligence market. Furthermore, the government has also introduced plenty of policies and plans for the market enhancement of AI such as the National Artificial Intelligence Research and Development Strategic Plan. This strategic plan outlines the primary research obstacles in the field of AI, aiming to align and concentrate federal investments in research and development. Its objective is to maintain the United States' leadership in the creation and deployment of reliable AI systems, as well as to equip the current and upcoming American workforce with the necessary skills for integrating AI across various industries. Additionally, the plan seeks to harmonize and coordinate AI initiatives across all federal agencies, ensuring effective collaboration and synergy in AI-related endeavors.

Government Initiatives

Government initiatives on AI aim to foster innovation, research, and development in the sector. Governments across the globe are implementing policies to promote AI adoption, investment, and regulation. These initiatives include funding AI research projects, establishing AI centers of excellence, facilitating public-private partnerships, and formulating ethical guidelines. Moreover, governments also focus on AI education and workforce development to meet the growing demand for AI skills. Additionally, there is an emphasis on ensuring responsible and accountable AI deployment, addressing concerns related to data privacy, bias, and transparency. Furthermore, government initiatives play a crucial role in shaping the AI landscape, fostering technological advancements, and maximizing the benefits of AI while mitigating risks.

For example, National Artificial Intelligence Initiative Act of 2020 (NAIIA) - The primary objectives of the initiative are to maintain the United States' leadership in AI research and development, establish a prominent role in the development and deployment of reliable AI systems across public and private sectors, equip the current and upcoming American workforce with AI integration skills, and facilitate collaboration among Federal agencies to ensure mutual progress and synergy in AI endeavors.

 

Impact of COVID-19

The COVID-19 pandemic had a significant impact on the AI market. While the crisis has disrupted economies and industries worldwide, it has also created new opportunities and accelerated the adoption of AI technologies. In the healthcare sector, AI has been highly beneficial in areas such as diagnosing and tracking viruses, drug discovery, and optimizing healthcare operations. Moreover, the demand for AI-powered solutions has increased in sectors like e-commerce, logistics, and customer service as businesses adapt to changing consumer behaviors. However, the pandemic has also posed challenges, with disruptions in supply chains and reduced investment in AI research and development. Additionally, ethical concerns related to privacy and bias in AI applications have become more pronounced during this period.

Moreover, the AI market is projected to experience substantial growth in the post-COVID era. Businesses are increasingly adopting AI for automation, data analysis, and decision-making processes, thereby leading to enhanced innovation and efficiency across industries. Hence from the aforesaid statements it can be concluded that the pandemic has accelerated the demand for AI solutions, driving the market's expansion and fostering a technology-driven future in a wide range of sectors.

Impact of the Russia-Ukraine War

The Russia-Ukraine war had a significant impact on the AI market. The conflict has disrupted supply chains and geopolitical stability, causing economic uncertainty that impacts various industries, including AI. Moreover, the companies involved in AI research, development, and manufacturing may face challenges due to the geopolitical tensions and potential sanctions. Additionally, the war could lead to a diversion of resources and government attention away from AI initiatives, impacting funding and support for AI projects. Furthermore, geopolitical instability may also affect international collaborations and partnerships, limiting knowledge sharing and hindering advancements in AI technologies.

On the other hand, the conflict could drive increased investment in AI for military applications and surveillance technologies, as countries seek to enhance their defense capabilities. Overall, the Russia-Ukraine war introduces uncertainties as well as potential disruptions to the AI market, thereby highlighting the interplay between geopolitics, security concerns, and technological developments.

Global Artificial Intelligence Market: Report Scope

Markets and Data has published a comprehensive report titled "Global Artificial Intelligence Market Evaluation, Prospects, and Projection, 2016-2030F." This report offers a detailed analysis of the current state of the global Artificial Intelligence market, considering both qualitative and quantitative aspects. It covers various aspects including market dynamics, challenges, market size, segmental shares, growth trends, and the impact of the COVID-19 pandemic. The report also presents potential opportunities and provides forecasts for the period between 2023 and 2030. Additionally, it includes profiles of key players in the industry, highlighting their market share, business models, competitive intelligence, and other relevant details.

Report Attribute

Details

Base Year of the Analysis

2022

Historical Period

2016-2021

Forecast Period

2023-2030

Projected Growth Rate

CAGR of 30.98% between 2023 and 2030

Revenue Forecast in 2030

USD 1371 billion

Units

Revenue in USD Billion

Segments Covered

Component, Type, Technology, Deployment, and End-user

Regions Covered

North America, Europe, South America, Asia-Pacific, Middle East, and Africa

Key Companies Profile

Microsoft Corporation, Google LLC, Amazon.com Inc., IBM Corporation, Apple Inc., NVIDIA Corporation, Intel Corporation., Facebook Inc., DataRobot Inc., Clarifai Inc., AiCure LLC, H2O.ai

Customization Scope

15% free report customization with purchase

Pricing and Purchase Options

Avail the customized purchase options to fulfil your precise research needs

Delivery Format

PDF and Excel through email (subject to the license purchased)

In this report, Global Artificial Intelligence Market has been bifurcated into the following categories and segments: 

1.       By Component

1.1.    Hardware

1.1.1.Processors

1.1.2.Memory

1.1.3.Network

1.2.    Software

1.3.    Services

1.3.1.Deployment & Integration

1.3.2.Support & Maintenance

2.       By Type

2.1.      Artificial Narrow Intelligence (ANI)

2.2.      Artificial General Intelligence (AGI)

2.3.      Artificial Superintelligence (ASI)

2.4.      Others

3.       By Technology

3.1.    Natural Language Generation

3.2.    Speech Recognition

3.3.    Machine Learning Platforms

3.4.    AI-Optimized Hardware

3.5.    Robotic Process Automation

3.6.    Text Analytics and Natural Language Processing (NLP)

3.7.    Others

4.       By Deployment

4.1.    Cloud-Based

4.2.    On-premises

5.       By End-user

5.1.    Healthcare

5.2.    Education

5.3.    BFSI

5.4.    Agriculture

5.5.    Automotive &Transportation

5.6.    IT & Telecommunication

5.7.    Government & Defense

5.8.    Others

6.       By Region 

6.1.    North America

6.2.    Europe

6.3.    South America

6.4.    Asia-Pacific

6.5.    Middle East and Africa

Key Players Landscape and Outlook

The global artificial intelligence market is experiencing a rapid growth rate as companies from all across the globe are focusing on the launching of brand-new AI platforms. Moreover, the advent of Artificial Intelligence (AI) and IoT (Internet of Things) along with the investment of the companies on creating more resources for research and development, various collaboration projects, marketing efforts, and the expansion of distribution networks is aiding the market expansion rate extensively.

In May 2023, IBM Corporation launched a new generative platform AI platform, Watsonx. The organization's primary focus is on delivering a hybrid cloud ecosystem and implementing a generative AI approach that prioritizes the enterprise, data, and governance aspects of the technology.

In May 2023, Microsoft Corporation introduced an AI-driven version of Microsoft Bing and Edge, aiming to revolutionize the future of web search by serving as a helpful companion. The goal is to address the common issue of unanswered web searches, which currently leaves a significant number of users dissatisfied. By leveraging powerful language models like OpenAI's GPT-4 and a vast search index, Bing delivers up-to-date, authoritative, and conversational results that are unique to the platform. This development is fundamentally transforming the information-finding process for individuals.

Markets and Data reports answer the following questions:

·         What is the current and future market size of the product/service in question globally or specific to different countries?

·         How are the markets divided into different product/service segments and the market size and growth of each segment?

·         What is the market potential of different product segments and their investment case?

·         How are the markets predicted to develop in the future and what factors will drive or inhibit growth?

·         What is the business environment and regulatory landscape specific to the product/service?

Key Players Operating in Global Artificial Intelligence Market

·         Microsoft Corporation

·         Google LLC

·         Amazon.com, Inc.

·         IBM Corporation

·         Apple Inc.

·         NVIDIA Corporation

·         Intel Corporation.

·         Facebook Inc.

·         DataRobot Inc.

·         Clarifai Inc.

·         AiCure LLC

·         H2O.ai, Inc.

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Table of Contents

 

1.       Research Methodology

2.       Project Scope & Definitions

3.       Impact of Covid-19 on Global Artificial Intelligence Market

4.       Impact of Russia Ukraine War

5.       Executive Summary

6.       Voice of Customer

6.1   Product and Market Intelligence

6.2   Mode of Brand Awareness

6.3   Factors Considered in Purchase Decisions

6.3.1         Features and other value-added service.

6.3.2         IT Infrastructure Compatibility

6.3.3         Efficiency of Solutions

6.3.4         After-Sales Support

6.4   Consideration of Privacy & Safety Regulations

7.       Global Artificial Intelligence Market Outlook, 2016-2030F

7.1.    Market Size & Forecast

7.1.1. By Value

7.2.    By Component

7.2.1. Hardware

7.2.1.1. Processors

7.2.1.2. Memory

7.2.1.3. Network

7.2.2.Software

7.2.3.Services

7.2.3.1. Deployment & Integration

7.2.3.2. Support & Maintenance

7.3.    By Type

7.3.1.     Artificial Narrow Intelligence (ANI)

7.3.2.     Artificial General Intelligence (AGI)

7.3.3.     Artificial Superintelligence (ASI)

7.3.4.     Others

7.4.    By Technology

7.4.1.    Natural Language Generation

7.4.2.    Speech Recognition

7.4.3.    Machine Learning Platforms

7.4.4.    AI Optimized Hardware

7.4.5.    Robotic Process Automation

7.4.6.   Text Analytics and Natural Language Processing (NLP)

7.4.7.   Others

7.5.     By Deployment

7.5.1. Cloud-Based

7.5.2. On-premises

7.6.     By End-user

7.6.1. Healthcare

7.6.2. Education

7.6.3. BFSI

7.6.4. Agriculture

7.6.5. Automotive &Transportation

7.6.6. IT & Telecommunication

7.6.7. Government & Defense

7.6.8. Others

7.7.    By Region

7.7.1. North America

7.7.2. Europe

7.7.3. South America

7.7.4. Asia-Pacific

7.7.5. Middle East and Africa

7.8.    By Company Market Share (%), 2022

8.       Global Artificial Intelligence Market Outlook, By Region, 2016-2030F

8.1.    North America*

8.1.1. By Component

8.1.1.1.               Hardware

8.1.1.1.1.          Processors

8.1.1.1.2.          Memory

8.1.1.1.3.          Network

8.1.1.2.              Software

8.1.1.3.              Services

8.1.1.3.1.         Deployment & Integration

8.1.1.3.2.         Support & Maintenance

8.1.2. By Type

8.1.2.1.  Artificial Narrow Intelligence (ANI)

8.1.2.2.  Artificial General Intelligence (AGI)

8.1.2.3.  Artificial Superintelligence (ASI)

8.1.2.4.  Others

8.1.3.By Technology

8.1.3.1.   Natural Language Generation

8.1.3.2.   Speech Recognition

8.1.3.3.   Machine Learning Platforms

8.1.3.4.   AI Optimized Hardware

8.1.3.5.   Robotic Process Automation

8.1.3.6.   Text Analytics and Natural Language Processing (NLP)

8.1.3.7.   Others

8.1.4. By Deployment

8.1.4.1.   Cloud-Based

8.1.4.2.   On-premises

8.1.5. By End-user

8.1.5.1.  Healthcare

8.1.5.2.  Education

8.1.5.3.  BFSI

8.1.5.4.  Agriculture

8.1.5.5.  Automotive &Transportation

8.1.5.6.  IT & Telecommunication

8.1.5.7.  Government & Defense

8.1.5.8.  Others

8.1.6.United States*

8.1.6.1.              By Component

8.1.6.1.1.                     Hardware

8.1.6.1.1.1.   Processors

8.1.6.1.1.2.   Memory

8.1.6.1.1.3.   Network

8.1.6.1.2.                    Software

8.1.6.1.3.                    Services

8.1.6.1.3.1.      Deployment & Integration

8.1.6.1.3.2.      Support & Maintenance

8.1.6.2.               By Type

8.1.6.2.1.                    Artificial Narrow Intelligence (ANI)

8.1.6.2.2.                    Artificial General Intelligence (AGI)

8.1.6.2.3.                    Artificial Superintelligence (ASI)

8.1.6.2.4.                    Others

8.1.6.3.              By Technology

8.1.6.3.1.                     Natural Language Generation

8.1.6.3.2.                     Speech Recognition

8.1.6.3.3.                     Machine Learning Platforms

8.1.6.3.4.                     AI Optimized Hardware

8.1.6.3.5.                     Robotic Process Automation

8.1.6.3.6.                     Text Analytics and Natural Language Processing (NLP)

8.1.6.3.7.                     Others

8.1.6.3.8.                     

8.1.6.4.               By Deployment

8.1.6.4.1.                     Cloud-Based

8.1.6.4.2.                     On-premises

8.1.6.5.               By End-user

8.1.6.5.1.                     Healthcare

8.1.6.5.2.                     Education

8.1.6.5.3.                     BFSI

8.1.6.5.4.                     Agriculture

8.1.6.5.5.                     Automotive &Transportation

8.1.6.5.6.                     IT & Telecommunication

8.1.6.5.7.                     Government & Defense

8.1.6.5.8.                     Others

8.1.7.Canada

8.1.8.Mexico

*All segments will be provided for all regions and countries covered

8.2.   Europe

8.2.1. Germany

8.2.2. France

8.2.3. Italy

8.2.4. United Kingdom

8.2.5. Russia

8.2.6. Netherlands

8.2.7. Spain

8.2.8. Turkey

8.2.9. Poland

8.3.   South America

8.3.1.Brazil

8.3.2.Argentina

8.4.   Asia Pacific

8.4.1.India

8.4.2.China

8.4.3.Japan

8.4.4.Australia

8.4.5.Vietnam

8.4.6.South Korea

8.4.7.Indonesia

8.4.8.Philippines

8.5.   Middle East & Africa

8.5.1.Saudi Arabia

8.5.2.UAE

8.5.3.South Africa

9.       Market Mapping, 2022

9.1.      By Component

9.2.      By Type

9.3.      By Technology

9.4.      By Deployment

9.5.      By End-user

9.6.      By Region

10.   Macro Environment and Industry Structure

10.1.  Supply Demand Analysis

10.2.  Import Export Analysis

10.3.  Value Chain Analysis

10.4.  PESTEL Analysis

10.4.1.    Political Factors

10.4.2.    Economic System

10.4.3.    Social Implications

10.4.4.    Technological Advancements

10.4.5.    Environmental Impacts

10.4.6.    Legal Compliances and Regulatory Policies (Statutory Bodies Included)

10.5.  Porter’s Five Forces Analysis

10.5.1.    Supplier Power

10.5.2.    Buyer Power

10.5.3.    Substitution Threat

10.5.4.    Threat from New Entrant

10.5.5.    Competitive Rivalry

11.   Market Dynamics

11.1.  Growth Drivers

11.2.  Growth Inhibitors (Challenges and Restraints)

12.   Key Players Landscape

12.1.  Competition Matrix of Top Five Market Leaders

12.2.  Market Revenue Analysis of Top Five Market Leaders (in %, 2022)

12.3.  Mergers and Acquisitions/Joint Ventures (If Applicable)

12.4.  SWOT Analysis (For Five Market Players)

12.5.  Patent Analysis (If Applicable)

13.   Pricing Analysis

14.   Case Studies

15.   Key Players Outlook

15.1.            Microsoft Corporation

15.1.1.      Company Details

15.1.2.      Key Management Personnel

15.1.3.      Products & Services

15.1.4.      Financials (As reported)

15.1.5.      Key Market Focus & Geographical Presence

15.1.6.      Recent Developments

15.2.            Google LLC

15.3.            Amazon.com Inc.

15.4.            IBM Corporation

15.5.            Apple Inc.

15.6.            NVIDIA Corporation

15.7.            Intel Corporation

15.8.            Facebook Inc.

15.9.            DataRobot Inc.

15.10.        Clarifai Inc.

15.11.        AiCure LLC

15.12.        H2O.ai.

*Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

16.  Strategic Recommendations

17.  About Us & Disclaimer

List of Figures: Global Artificial Intelligence Market

Figure 1. Global Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 2. Global Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 3. Global Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 4. Global Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 5. Global Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 6. Global Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 7. Global Artificial Intelligence Market Share, By Region, In USD Billion, 2016-2030F

Figure 8. North America Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 9. North America Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 10. North America Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 11. North America Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 12. North America Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 13. North America Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 14. North America Artificial Intelligence Market Share, By Country, In USD Billion, 2016-2030F

Figure 15. United States Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 16. United States Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 17. United States Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 18. United States Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 19. United States Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 20. United States Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 21. Canada Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 22. Canada Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 23. Canada Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 24. Canada Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 25. Canada Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 26. Canada Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 27. Mexico Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 28. Mexico Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 29. Mexico Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 30. Mexico Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 31. Mexico Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 32. Mexico Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 33. Europe Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 34. Europe Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 35. Europe Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 36. Europe Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 37. Europe Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 38. Europe Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 39. Europe Artificial Intelligence Market Share, By Country, In USD Billion, 2016-2030F

Figure 40. Germany Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 41. Germany Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 42. Germany Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 43. Germany Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 44. Germany Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 45. Germany Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 46. France Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 47. France Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 48. France Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 49. France Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 50. France Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 51. France Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 52. Italy Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 53. Italy Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 54. Italy Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 55. Italy Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 56. Italy Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 57. Italy Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 58. United Kingdom Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 59. United Kingdom Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 60. United Kingdom Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 61. United Kingdom Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 62. United Kingdom Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 63. United Kingdom Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 64. Russia Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 65. Russia Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 66. Russia Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 67. Russia Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 68. Russia Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 69. Russia Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 70. Netherlands Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 71. Netherlands Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 72. Netherlands Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 73. Netherlands Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 74. Netherlands Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 75. Netherlands Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 76. Spain Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 77. Spain Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 78. Spain Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 79. Spain Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 80. Spain Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 81. Spain Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 82. Turkey Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 83. Turkey Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 84. Turkey Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 85. Turkey Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 86. Turkey Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 87. Turkey Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 88. Poland Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 89. Poland Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 90. Poland Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 91. Poland Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 92. Poland Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 93. Poland Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 94. South America Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 95. South America Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 96. South America Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 97. South America Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 98. South America Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 99. South America Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 100. South America Artificial Intelligence Market Share, By Country, In USD Billion, 2016-2030F

Figure 101. Brazil Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 102. Brazil Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 103. Brazil Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 104. Brazil Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 105. Brazil Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 106. Brazil Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 107. Argentina Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 108. Argentina Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 109. Argentina Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 110. Argentina Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 111. Argentina Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 112. Argentina Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 113. Asia-Pacific Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 114. Asia-Pacific Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 115. Asia-Pacific Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 116. Asia-Pacific Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 117. Asia-Pacific Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 118. Asia- Pacific Cream Market Share, By End-user, In USD Billion, 2016-2030F

Figure 119. Asia-Pacific Artificial Intelligence Market Share, By Country, In USD Billion, 2016-2030F

Figure 120. India Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 121. India Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 122. India Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 123. India Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 124. India Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 125. India Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 126. China Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 127. China Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 128. China Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 129. China Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 130. China Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 131. China Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 132. Japan Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 133. Japan Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 134. Japan Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 135. Japan Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 136. Japan Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 137. Japan Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 138. Australia Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 139. Australia Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 140. Australia Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 141. Australia Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 142. Australia Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 143. Australia Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 144. Vietnam Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 145. Vietnam Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 146. Vietnam Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 147. Vietnam Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 148. Vietnam Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 149. Vietnam Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 150. South Korea Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 151. South Korea Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 152. South Korea Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 153. South Korea Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 154. South Korea Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 155. South Korea Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 156. Indonesia Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 157. Indonesia Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 158. Indonesia Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 159. Indonesia Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 160. Indonesia Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 161. Indonesia Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 162. Philippines Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 163. Philippines Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 164. Philippines Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 165. Philippines Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 166. Philippines Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 167. Philippines Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 168. Middle East & Africa Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 169. Middle East & Africa Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 170. Middle East & Africa Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 171. Middle East & Africa Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 172. Middle East & Africa Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 173. Middle East & Africa Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 174. Middle East & Africa Artificial Intelligence Market Share, By Country, In USD Billion, 2016-2030F

Figure 175. Saudi Arabia Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 176. Saudi Arabia Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 177. Saudi Arabia Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 178. Saudi Arabia Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 179. Saudi Arabia Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 180. Saudi Arabia Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 181. UAE Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 182. UAE Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 183. UAE Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 184. UAE Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 185. UAE Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 186. UAE Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 187. South Africa Artificial Intelligence Market, By Value, In USD Billion, 2016-2030F

Figure 188. South Africa Artificial Intelligence Market Share, By Component, In USD Billion, 2016-2030F

Figure 189. South Africa Artificial Intelligence Market Share, By Technology, In USD Billion, 2016-2030F

Figure 190. South Africa Artificial Intelligence Market Share, By Type, In USD Billion, 2016-2030F

Figure 191. South Africa Artificial Intelligence Market Share, By Deployment, In USD Billion, 2016-2030F

Figure 192. South Africa Artificial Intelligence Market Share, By End-user, In USD Billion, 2016-2030F

Figure 193. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 194. By Technology Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 195. By Type Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 196. By Deployment Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 197. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2022

Figure 198. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2022

List of Figures: Global Artificial Intelligence Market

Table 1. Pricing Analysis of Products from Key Players

Table 2. Competition Matrix of Top 5 Market Leaders

Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)

Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

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