Artificial Intelligence Market Synopsis

Artificial Intelligence Market Size Was Valued at USD 151.4 Billion in 2023 and is Projected to Reach USD 2441.85 Billion by 2032, Growing at a CAGR of 36.2 % From 2024-2032.

Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using it), reasoning and self-correction.

• Artificial Intelligence (AI) has numerous applications across various industries and sectors. It is used in autonomous vehicles, healthcare, finance, customer service, natural language processing, robotics, e-commerce, cybersecurity, education, smart homes, supply chain management, entertainment, agriculture, and environmental protection. AI is used to develop self-driving cars, analyze sensor data, and optimize road navigation. It also assists in diagnosing diseases, predicting patient outcomes, and personalizing treatment plans. AI algorithms are used for fraud detection, algorithmic trading, credit scoring, and customer service chatbots. AI also enhances productivity and safety by enabling robots to perform tasks autonomously in manufacturing, logistics, healthcare, and other industries.
• AI-powered recommendation systems analyze customer behavior to suggest personalized products, leading to increased sales and customer satisfaction. AI also detects and responds to cybersecurity threats in real-time, preventing data breaches and attacks. AI-powered agriculture uses drones and sensors to monitor crops, soil, and weather conditions, and AI helps in monitoring and managing natural resources. AI technologies are revolutionizing various industries by automating tasks and processes, enhancing efficiency and cost-effectiveness. They provide insights from big data, personalizing user experiences, and excelling in predictive analytics.
• AI-driven chatbots and virtual assistants offer round-the-clock customer support, improving response times and overall customer experience. Companies investing in AI research gain a competitive advantage by introducing innovative products and services. AI can also reduce costs by automating repetitive tasks, minimizing errors, and optimizing resource allocation. As AI technologies mature, they are expanding into new domains like healthcare, finance, transportation, and agriculture, driving demand for AI expertise and solutions. As AI technologies mature, the demand for AI expertise and solutions continues to grow.

Artificial Intelligence Market Trend Analysis

Increasing Computing Power, Including the Development of Specialized Hardware

• As computing power increases, AI algorithms can execute complex computations at faster speeds, enabling larger datasets and more intricate models to be executed in less time. Advanced hardware architectures like GPUs and TPUs optimize parallel processing, allowing AI systems to scale efficiently across multiple processors. Specialized hardware designs are often tailored to the specific needs of AI workloads, resulting in greater energy efficiency.
• This is crucial for deploying AI systems in resource-constrained environments like mobile devices and edge computing devices. Companies are investing in specialized accelerators, such as AI chips and neuromorphic computing devices, to enhance the performance of AI applications. These accelerators leverage unique characteristics of AI algorithms, such as matrix multiplications in neural networks, leading to significant speedups and efficiency gains.
• Increasing computing power enables AI systems to process and analyze data in real-time, facilitating applications like autonomous vehicles, real-time fraud detection, and industrial automation. Innovation in hardware design, driven by advances in materials science, chip architecture, and manufacturing technologies, continues to expand the capabilities of AI systems and open up new possibilities for AI applications in various domains.

Restraint

AI Systems can be Vulnerable to Adversarial Attacks

• Adversarial attacks are small, carefully crafted perturbations made to input data by attackers, which can cause AI systems to misclassify or produce incorrect outputs. These attacks are particularly vulnerable to small changes in input data, as AI systems, particularly those based on deep learning, rely on complex mathematical models that are sensitive to small changes in input data.
• Many AI systems lack robustness against adversarial attacks, allowing even small perturbations to cause significant output changes or incorrect predictions. Adversarial attacks can impact various domains, such as image recognition, natural language processing, autonomous vehicles, and cybersecurity. Attackers can exploit these vulnerabilities to cause real-world harm or manipulate outcomes for their benefit.
• Successful attacks can have severe consequences, such as misclassification of road signs or obstacles in autonomous vehicles or misdiagnoses or incorrect treatment recommendations in healthcare. Defending against adversarial attacks is challenging due to the complexity of AI systems and the vast space of possible attack vectors. Researchers are working on developing robust defenses, such as adversarial training, input preprocessing, and model verification techniques.

Opportunity

AI-Driven NLP Technologies Enable Machines to Understand and Generate Human Language

• AI-driven Natural Language Processing (NLP) technologies are revolutionizing the way humans interact with machines, enhancing communication and making interactions more natural. This can lead to improved customer service through chatbots, virtual assistants, and automated response systems. NLP can also efficiently process unstructured data, allowing organizations to extract valuable insights and automate repetitive tasks.
• By analyzing language patterns and context, NLP can personalize user experiences, such as content recommendations, targeted advertising, and product suggestions. These technologies also improve accessibility for people with disabilities, such as speech recognition systems and text-to-speech systems. They can drive innovation across various industries, such as healthcare, finance, and education, by analyzing medical records, research papers, market data, and customer feedback.
• NLP can bridge language barriers, facilitating global communication and collaboration. Translation tools powered by NLP can enable people to communicate across languages, opening up new opportunities for international business, cultural exchange, and diplomacy. Overall, AI-driven NLP technologies are poised to revolutionize various industries and drive innovation.

Challenge

Rapid Advancement of AI Raises Numerous Ethical and Regulatory Challenges

• AI systems can perpetuate or amplify biases in the data they are trained on, leading to unfair treatment of certain groups or individuals. Addressing bias and ensuring fairness in AI algorithms is a critical ethical concern. AI technologies often rely on vast amounts of personal data, raising concerns about privacy infringement, data misuse, and unauthorized access to sensitive information. Transparency and explainability are essential for AI algorithms, as they are often regarded as "black boxes" whose decision-making processes are not easily understandable by humans.
• Accountability and liability are complex legal and ethical issues, as assigning liability in cases of errors, accidents, or harm caused by AI becomes a complex legal and ethical issue. Safety and security are paramount as AI systems become more autonomous and integrated into critical infrastructure. The widespread adoption of AI technologies has the potential to disrupt labor markets, leading to job displacement and widening socioeconomic disparities. Addressing these challenges requires proactive measures to retrain workers and create new employment opportunities.
• Ethical decision-making in AI systems is essential, as it may encounter ethical dilemmas in autonomous vehicles deciding between different courses of action in life-threatening scenarios. Global governance and regulation are challenging, as AI development and deployment occur on a global scale, making it difficult to establish uniform standards and regulations.

Artificial Intelligence Market Segment Analysis:

Artificial Intelligence Market Segmented on the basis of solution, function, and end-users.

By Solution, Software segment is expected to dominate the market during the forecast period

• AI software solutions are versatile and can be applied across various industries, making them attractive to businesses seeking to optimize operations, improve decision-making, and enhance customer experiences. Implementing AI through software solutions is often more cost-effective than developing custom AI hardware, and can be deployed on existing infrastructure, reducing the need for significant upfront investment. AI software solutions can scale up or down depending on the organization's needs, allowing them to adapt to evolving requirements efficiently.
• Easy integration with existing systems and technologies encourages adoption across different industries. The AI software market is characterized by rapid innovation and continuous development, leading to the introduction of new features and applications. Accessibility to AI solutions is becoming more accessible with the proliferation of cloud computing and Software-as-a-Service (SaaS) models.
• Customization of AI software solutions allows organizations to address their unique challenges and opportunities, enhancing the value proposition of AI software and fostering greater adoption. The AI software market benefits from a rich ecosystem of developers, vendors, and service providers, enhancing the accessibility, usability, and effectiveness of AI software for businesses worldwide.

By Function, Cybersecurity segment held the largest share of 45.8% in 2023

• AI is revolutionizing cybersecurity by enabling real-time analysis of vast data to identify cyber threats, enabling organizations to stay ahead of attackers. AI technologies automate routine tasks like system monitoring and anomaly detection, allowing cybersecurity professionals to focus on strategic tasks.
• AI systems can adapt to evolving cyber threats, learning from new data and learning from new algorithms. Behavioral analysis of user behavior and network traffic can detect suspicious activities, identifying insider threats and advanced persistent threats (APTs) that traditional security measures might miss.
• AI technologies can handle large volumes of data and devices, making them suitable for securing complex and distributed IT environments. Advanced threat detection, including zero-day attacks and polymorphic malware, is made possible by recognizing patterns and anomalies that may not be apparent to human analysts.

Artificial Intelligence Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast period

• North America, particularly the US, is a hub for technological innovation, with major tech companies like Google, Microsoft, Amazon, and IBM headquartered there. The region attracts substantial investment and funding for AI initiatives, with venture capital firms, government agencies, and private investors investing billions in startups and projects.
• The US has a robust ecosystem for AI development, with leading universities, research institutions, and technology hubs like Silicon Valley fostering collaboration and talent acquisition. High demand for AI solutions across sectors like healthcare, finance, retail, and automotive is driving businesses to leverage AI technologies for efficiency and competitiveness.
• North America's favorable regulatory environment encourages innovation and experimentation while ensuring responsible use and ethical considerations. Early adoption of AI technologies by companies and consumers has further solidified the region's dominance in the AI market.

Artificial Intelligence Market Top Key Players:

• Alphabet Inc. (US)
• Microsoft Corporation (US)
• IBM Corporation (US)
• NVIDIA Corporation (US)
• Intel Corporation (US)
• Amazon.com Inc. (US)
• Apple Inc. (US)
• Adobe Inc. (US)
• Cisco Systems, Inc. (US)
• Qualcomm Incorporated (US)
• Palantir Technologies Inc. (US)
• Dell Technologies Inc. (US)
• Twitter, Inc. (US)
• Salesforce.com Inc. (US)
• Oracle Corporation (US)
• Facebook, Inc. (US)
• SAP SE (Germany)
• Siemens AG (Germany)
• Atos SE (France)
• Accenture plc (Ireland)
• Tencent Holdings Limited (China)
• Baidu, Inc. (China)
• Alibaba Group Holding Limited (China)
• Infosys Limited (India)
• Samsung Electronics Co., Ltd. (South Korea), and other major players

Key Industry Developments in the Artificial Intelligence Market:

• In March 2023, IBM and Usher's New Look (UNL) announced a collaboration to provide free career readiness training through IBM SkillsBuild. With a focus on artificial intelligence (AI) and professional workplace skills, IBM will provide UNL with training and customized learning plans for student learners. This effort aims to benefit thousands of UNL's young learners nationwide, including high school and college-age youth from communities traditionally underrepresented in technology.
• In March 2023, Microsoft Corp announced the completion of its acquisition of Nuance Communications Inc. a leader in conversational AI and ambient intelligence across industries including healthcare, financial services, retail and telecommunications. Driven by a shared vision to build outcomes-based AI, Microsoft and Nuance will enable organizations across industries to accelerate their business goals with AI security-focused, cloud-based solutions infused with powerful, vertically optimized AI. Customers will benefit from enhanced consumer, patient, clinician and employee experiences, and ultimately improved productivity and financial performance.
• In June 2024, Tata Consultancy Services unveiled TCS AI WisdomNext™, integrating diverse Generative Artificial Intelligence (GenAI) services into a unified interface. This platform facilitates the swift adoption of advanced technologies, cost efficiency, and regulatory compliance for global enterprises. It promotes seamless development and deployment of business solutions, enabling real-time experimentation across vendor, internal, and open-source LLM models.

1. INTRODUCTION
   1. RESEARCH OBJECTIVES
   2. RESEARCH METHODOLOGY
   3. RESEARCH PROCESS
   4. SCOPE AND COVERAGE
      1. Market Definition
      2. Key Questions Answered
   5. MARKET SEGMENTATION
2. EXECUTIVE SUMMARY
3. MARKET OVERVIEW
4. GROWTH OPPORTUNITIES BY SEGMENT
5. MARKET LANDSCAPE
   1. PORTER’S FIVE FORCES ANALYSIS
      1. Bargaining Power Of Supplier
      2. Threat Of New Entrants
      3. Threat Of Substitutes
      4. Competitive Rivalry
      5. Bargaining Power Among Buyers
   2. INDUSTRY VALUE CHAIN ANALYSIS
   3. MARKET DYNAMICS
      1. Drivers
      2. Restraints
      3. Opportunities
      4. Challenges
   4. MARKET TREND ANALYSIS
   5. REGULATORY LANDSCAPE
   6. PESTLE ANALYSIS
   7. PRICE TREND ANALYSIS
   8. PATENT ANALYSIS
   9. TECHNOLOGY EVALUATION
   10. MARKET IMPACT OF THE RUSSIA-UKRAINE WAR
       1. Geopolitical Market Disruptions
       2. Supply Chain Disruptions
       3. Instability in Emerging Markets
   11. ECOSYSTEM
6. ARTIFICIAL INTELLIGENCE MARKET BY SOLUTION (2017-2032)
   1. ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. HARDWARE
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. SOFTWARE
   5. SERVICES
7. ARTIFICIAL INTELLIGENCE MARKET BY FUNCTION (2017-2032)
   1. ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. CYBERSECURITY
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. FINANCE AND ACCOUNTING
   5. HUMAN RESOURCE MANAGEMENT
   6. LEGAL AND COMPLIANCE
   7. OPERATIONS
   8. SALES AND MARKETING
   9. SUPPLY CHAIN MANAGEMENT
8. ARTIFICIAL INTELLIGENCE MARKET BY END USER (2017-2032)
   1. ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. BFSI
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. HEALTHCARE
   5. ADVERTISING & MEDIA
   6. AUTOMOTIVE & TRANSPORTATION
   7. MANUFACTURING
9. COMPANY PROFILES AND COMPETITIVE ANALYSIS
   1. COMPETITIVE LANDSCAPE
      1. Competitive Positioning
      2. Artificial Intelligence Market Share By Manufacturer (2023)
      3. Industry BCG Matrix
      4. Heat Map Analysis
      5. Mergers & Acquisitions
   2. ALPHABET INC. (US)
      1. Company Overview
      2. Key Executives
      3. Company Snapshot
      4. Role of the Company in the Market
      5. Sustainability and Social Responsibility
      6. Operating Business Segments
      7. Product Portfolio
      8. Business Performance (Production Volume, Sales Volume, Sales Margin, Production Capacity, Capacity Utilization Rate)
      9. Key Strategic Moves And Recent Developments
      10. SWOT Analysis
   3. MICROSOFT CORPORATION (US)
   4. IBM CORPORATION (US)
   5. NVIDIA CORPORATION (US)
   6. INTEL CORPORATION (US)
   7. AMAZON.COM INC. (US)
   8. APPLE INC. (US)
   9. ADOBE INC. (US)
   10. CISCO SYSTEMS, INC. (US)
   11. QUALCOMM INCORPORATED (US)
   12. PALANTIR TECHNOLOGIES INC. (US)
   13. DELL TECHNOLOGIES INC. (US)
   14. TWITTER, INC. (US)
   15. SALESFORCE.COM INC. (US)
   16. ORACLE CORPORATION (US)
   17. FACEBOOK, INC. (US)
   18. SAP SE (GERMANY)
   19. SIEMENS AG (GERMANY)
   20. ATOS SE (FRANCE)
   21. ACCENTURE PLC (IRELAND)
   22. TENCENT HOLDINGS LIMITED (CHINA)
   23. BAIDU, INC. (CHINA)
   24. ALIBABA GROUP HOLDING LIMITED (CHINA)
   25. INFOSYS LIMITED (INDIA)
   26. SAMSUNG ELECTRONICS CO., LTD. (SOUTH KOREA)
10. GLOBAL ARTIFICIAL INTELLIGENCE MARKET BY REGION
    1. OVERVIEW
    2. NORTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Solution
       4. Historic And Forecasted Market Size By Function
       5. Historic And Forecasted Market Size By End User
       6. Historic And Forecasted Market Size By Country
          1. USA
          2. Canada
          3. Mexico
    3. EASTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Russia
          2. Bulgaria
          3. The Czech Republic
          4. Hungary
          5. Poland
          6. Romania
          7. Rest Of Eastern Europe
    4. WESTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Germany
          2. United Kingdom
          3. France
          4. The Netherlands
          5. Italy
          6. Spain
          7. Rest Of Western Europe
    5. ASIA PACIFIC
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. China
          2. India
          3. Japan
          4. South Korea
          5. Malaysia
          6. Thailand
          7. Vietnam
          8. The Philippines
          9. Australia
          10. New-Zealand
          11. Rest Of APAC
    6. MIDDLE EAST & AFRICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Turkey
          2. Bahrain
          3. Kuwait
          4. Saudi Arabia
          5. Qatar
          6. UAE
          7. Israel
          8. South Africa
    7. SOUTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Brazil
          2. Argentina
          3. Rest of South America
11. INVESTMENT ANALYSIS
12. ANALYST VIEWPOINT AND CONCLUSION
    1. Recommendations and Concluding Analysis

Potential Market Strategies

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. ARTIFICIAL INTELLIGENCE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. ARTIFICIAL INTELLIGENCE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. ARTIFICIAL INTELLIGENCE MARKET COMPETITIVE RIVALRY
TABLE 005. ARTIFICIAL INTELLIGENCE MARKET THREAT OF NEW ENTRANTS
TABLE 006. ARTIFICIAL INTELLIGENCE MARKET THREAT OF SUBSTITUTES
TABLE 007. ARTIFICIAL INTELLIGENCE MARKET BY COMPONENT
TABLE 008. HARDWARE MARKET OVERVIEW (2016-2028)
TABLE 009. SOFTWARE MARKET OVERVIEW (2016-2028)
TABLE 010. AND SERVICES MARKET OVERVIEW (2016-2028)
TABLE 011. ARTIFICIAL INTELLIGENCE MARKET BY TECHNOLOGY
TABLE 012. DEEP LEARNING MARKET OVERVIEW (2016-2028)
TABLE 013. NATURAL LANGUAGE PROCESSING MARKET OVERVIEW (2016-2028)
TABLE 014. IMAGE PROCESSING MARKET OVERVIEW (2016-2028)
TABLE 015. SPEECH RECOGNITION MARKET OVERVIEW (2016-2028)
TABLE 016. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 017. ARTIFICIAL INTELLIGENCE MARKET BY DEPLOYMENT MODE
TABLE 018. CLOUD MARKET OVERVIEW (2016-2028)
TABLE 019. ON-PREMISES MARKET OVERVIEW (2016-2028)
TABLE 020. ARTIFICIAL INTELLIGENCE MARKET BY BY END-USE INDUSTRY
TABLE 021. BFSI MARKET OVERVIEW (2016-2028)
TABLE 022. FASHION AND RETAIL MARKET OVERVIEW (2016-2028)
TABLE 023. HEALTHCARE AND LIFE SCIENCES MARKET OVERVIEW (2016-2028)
TABLE 024. MANUFACTURING MARKET OVERVIEW (2016-2028)
TABLE 025. AUTOMOTIVE MARKET OVERVIEW (2016-2028)
TABLE 026. AEROSPACE AND DEFENSE MARKET OVERVIEW (2016-2028)
TABLE 027. CONSTRUCTION MARKET OVERVIEW (2016-2028)
TABLE 028. AND OTHER END-USER INDUSTRIES MARKET OVERVIEW (2016-2028)
TABLE 029. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 030. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 031. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 032. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 033. N ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 034. EUROPE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 035. EUROPE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 036. EUROPE ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 037. EUROPE ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 038. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 039. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 040. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 041. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 042. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 043. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 044. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 045. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 046. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 047. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 048. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 049. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT (2016-2028)
TABLE 050. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 051. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (2016-2028)
TABLE 052. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET, BY BY END-USE INDUSTRY (2016-2028)
TABLE 053. ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY (2016-2028)
TABLE 054. IBM CORPORATION: SNAPSHOT
TABLE 055. IBM CORPORATION: BUSINESS PERFORMANCE
TABLE 056. IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 057. IBM CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 057. INTEL CORPORATION: SNAPSHOT
TABLE 058. INTEL CORPORATION: BUSINESS PERFORMANCE
TABLE 059. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 060. INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 060. MICROSOFT CORPORATION: SNAPSHOT
TABLE 061. MICROSOFT CORPORATION: BUSINESS PERFORMANCE
TABLE 062. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 063. MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 063. GOOGLE LLC: SNAPSHOT
TABLE 064. GOOGLE LLC: BUSINESS PERFORMANCE
TABLE 065. GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 066. GOOGLE LLC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 066. AMAZON WEB SERVICES INC.: SNAPSHOT
TABLE 067. AMAZON WEB SERVICES INC.: BUSINESS PERFORMANCE
TABLE 068. AMAZON WEB SERVICES INC.: PRODUCT PORTFOLIO
TABLE 069. AMAZON WEB SERVICES INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 069. ORACLE CORPORATION: SNAPSHOT
TABLE 070. ORACLE CORPORATION: BUSINESS PERFORMANCE
TABLE 071. ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 072. ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 072. SALESFORCE.COM INC.: SNAPSHOT
TABLE 073. SALESFORCE.COM INC.: BUSINESS PERFORMANCE
TABLE 074. SALESFORCE.COM INC.: PRODUCT PORTFOLIO
TABLE 075. SALESFORCE.COM INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 075. SAP SE: SNAPSHOT
TABLE 076. SAP SE: BUSINESS PERFORMANCE
TABLE 077. SAP SE: PRODUCT PORTFOLIO
TABLE 078. SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 078. SAS INSTITUTE INC.: SNAPSHOT
TABLE 079. SAS INSTITUTE INC.: BUSINESS PERFORMANCE
TABLE 080. SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 081. SAS INSTITUTE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 081. CISCO SYSTEMS INC.: SNAPSHOT
TABLE 082. CISCO SYSTEMS INC.: BUSINESS PERFORMANCE
TABLE 083. CISCO SYSTEMS INC.: PRODUCT PORTFOLIO
TABLE 084. CISCO SYSTEMS INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 084. SIEMENS SE: SNAPSHOT
TABLE 085. SIEMENS SE: BUSINESS PERFORMANCE
TABLE 086. SIEMENS SE: PRODUCT PORTFOLIO
TABLE 087. SIEMENS SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 087. NVIDIA CORPORATION: SNAPSHOT
TABLE 088. NVIDIA CORPORATION: BUSINESS PERFORMANCE
TABLE 089. NVIDIA CORPORATION: PRODUCT PORTFOLIO
TABLE 090. NVIDIA CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 090. ZEBRA MEDICAL VISION INC.: SNAPSHOT
TABLE 091. ZEBRA MEDICAL VISION INC.: BUSINESS PERFORMANCE
TABLE 092. ZEBRA MEDICAL VISION INC.: PRODUCT PORTFOLIO
TABLE 093. ZEBRA MEDICAL VISION INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COMPONENT
FIGURE 012. HARDWARE MARKET OVERVIEW (2016-2028)
FIGURE 013. SOFTWARE MARKET OVERVIEW (2016-2028)
FIGURE 014. AND SERVICES MARKET OVERVIEW (2016-2028)
FIGURE 015. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY TECHNOLOGY
FIGURE 016. DEEP LEARNING MARKET OVERVIEW (2016-2028)
FIGURE 017. NATURAL LANGUAGE PROCESSING MARKET OVERVIEW (2016-2028)
FIGURE 018. IMAGE PROCESSING MARKET OVERVIEW (2016-2028)
FIGURE 019. SPEECH RECOGNITION MARKET OVERVIEW (2016-2028)
FIGURE 020. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 021. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY DEPLOYMENT MODE
FIGURE 022. CLOUD MARKET OVERVIEW (2016-2028)
FIGURE 023. ON-PREMISES MARKET OVERVIEW (2016-2028)
FIGURE 024. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY BY END-USE INDUSTRY
FIGURE 025. BFSI MARKET OVERVIEW (2016-2028)
FIGURE 026. FASHION AND RETAIL MARKET OVERVIEW (2016-2028)
FIGURE 027. HEALTHCARE AND LIFE SCIENCES MARKET OVERVIEW (2016-2028)
FIGURE 028. MANUFACTURING MARKET OVERVIEW (2016-2028)
FIGURE 029. AUTOMOTIVE MARKET OVERVIEW (2016-2028)
FIGURE 030. AEROSPACE AND DEFENSE MARKET OVERVIEW (2016-2028)
FIGURE 031. CONSTRUCTION MARKET OVERVIEW (2016-2028)
FIGURE 032. AND OTHER END-USER INDUSTRIES MARKET OVERVIEW (2016-2028)
FIGURE 033. NORTH AMERICA ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 034. EUROPE ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 035. ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 036. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 037. SOUTH AMERICA ARTIFICIAL INTELLIGENCE MARKET OVERVIEW BY COUNTRY (2016-2028)