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Artificial Intelligence (AI) Market By Offering (Hardware, Software, and Services), By Technology, By Business Function, By Industry Vertical - Global Industry Outlook, Key Companies (Microsoft, Amazon, IBM Corp, and others), Trends and Forecast 2024-2033

Published on : July-2024  Report Code : RC-1031  Pages Count : 283  Report Format : PDF
Overview Table of Content Download Report's Excerpt Request Free Sample

Market Overview

The Global Artificial Intelligence (AI) Market is projected to reach a value of USD 259.1 billion in 2024, and it is further anticipated to reach a market value of USD 4,726.6 billion by 2033 at a CAGR of 38.1%.

Artificial Intelligence (AI) Market Growth Analysis

Artificial intelligence or AI is a simulation of human intelligence processes by machines, mainly computer systems, which include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), & self-correction. AI includes various subfields, like machine learning, natural language processing, computer vision, and robotics, among others. Also, AI focuses on creating intelligent machines that can perceive their environment, learn from experiences, and make decisions or solve problems autonomously, similar to human intelligence.

With growing relevance across sectors, markets like Artificial Intelligence in E-commerce Market and Artificial Intelligence in Telecommunication Market are expanding rapidly, driven by rising automation and personalized experiences. 

The US Artificial Intelligence (AI) Market

The US Artificial Intelligence (AI) Market is expected to reach USD 71.8 billion in 2024 at a CAGR of 35.7% over the forecast period of 2024 to 2033.

The US market provides AI with ample opportunities driven by automation across industries, personalized customer experiences through AI-driven analytics, and constant innovation in new business models. Further, trends like the rise of explainable AI (XAI) for transparency and ethical AI deployment, expanded the adoption of AI in edge computing for real-time processing, and advancements in AI-driven healthcare technologies.

Artificial Intelligence (AI) Market us Growth Analysis

Further, the US AI markets strong R&D investments, fostering innovation across diverse sectors such as healthcare, finance, and autonomous systems. Development in machine learning and natural language processing drive market expansion, improving productivity and customer experiences. However, regulatory complexities and concerns over data privacy act as significant restraints. Strict regulations may impact quick adoption and innovation, potentially slowing market growth and development in the AI sector.

Key Takeaways

  • Market Growth: Artificial Intelligence (AI) Market size is expected to grow by 4,378.8 billion, at a CAGR of 38.1% during the forecasted period of 2025 to 2033.
  • By Offering: The software segment is expected to lead in 2024 with a major & is anticipated to dominate throughout the forecasted period.
  • By Technology: Machine Learning segment is expected to lead the Artificial Intelligence (AI) Market in 2024.
  • By Business Function: The Finance & Accounting segment is expected to get the largest revenue share in 2024 in the Artificial Intelligence (AI) market.
  • Regional Insight: North America is expected to hold a 31.8% share of revenue in the Global Artificial Intelligence (AI) Market in 2024.
  • Use Cases: Some of the use cases of Artificial Intelligence (AI) include customer service, fraud detection, and more.

Use Cases

  • Customer Service: AI-powered chatbots & virtual assistants provide 24*7 support, answering queries & resolving issues efficiently.
  • Predictive Maintenance: AI predicts equipment failures in industries, minimizing downtime & maintenance costs.
  • Fraud Detection: AI systems analyze transaction patterns to identify and prevent fraudulent activities in on the spot.
  • Personalized Marketing: AI customizes marketing campaigns based on customer behavior & preferences, enhancing engagement and conversion rates
  • Healthcare Diagnostics: AI helps in diagnosing diseases from medical images and patient data, improving accuracy and speed.
  • Supply Chain Optimization: AI optimizes inventory management, demand forecasting, and logistics, enhancing efficiency and reducing costs.
  • Autonomous Vehicles: AI allows self-driving cars to navigate, make decisions, and improve road safety.

Market Dynamic

Driving Factors

Technological Advancements
Constant innovations in machine learning, natural language processing, and data analytics improve AI capabilities, driving broad adoption across industries. This is evident in markets like Artificial Intelligence (AI) Data Management Market, where the need to structure and process vast volumes of information is increasingly critical.

Increased Data Availability
The exponential growth of data from many sources drives AI development, allowing more accurate and effective AI solutions.

Business Efficiency and Productivity
AI-driven automation and analytics improve operational efficiency, reduce costs, and enhance decision-making, causing businesses to invest more in AI technologies.

Restraints

Ethical Concerns and Regulations
AI technologies create major ethical issues, like bias in algorithms, privacy concerns with data handling, & potential job displacement. Governments and regulatory bodies are highly scrutinizing AI applications, creating stringent regulations that can impact rapid innovation.

High Implementation Costs and Complexity
Implementing AI solutions includes significant costs, like acquiring and maintaining high-quality data, developing specialized algorithms, and integrating AI systems into existing infrastructure.
 
Lack of Skilled Workforce
There is a global shortage of AI talent, including experts in machine learning, data science, and AI ethics, which limits the scalability of AI initiatives and can lead to inflated labor costs for businesses seeking to harness AI's potential.

Opportunities

Automation and Efficiency Gains
AI technologies allow automation of repetitive tasks across industries, leading to major efficiency gains and cost savings. Businesses can streamline operations, improve productivity, and focus human resources on more strategic activities.

Personalization and Customer Experience
AI-powered analytics and recommendation systems can personalize customer interactions and experiences at scale, which improves customer satisfaction, increases retention rates, and drives revenue growth by delivering customized products & services.

Innovation and New Business Models
AI supports innovation by allowing the development of new products, services, and business models. From predictive analytics in healthcare to autonomous vehicles in transportation, AI opens up opportunities for disruptive innovation that can develop entirely new markets and revenue streams. This is particularly evident in sectors such as the Artificial Insemination Market, where AI-based precision tools are revolutionizing agricultural and veterinary practices.

Trends

Generative AI
Development in generative models like GPT-4 and DALL-E are driving new applications in content creation, design, & personalized experiences, transforming how businesses interact with customers. These advancements significantly shape the Generative AI Market, highlighting its growing potential across industries.

AI in Edge Computing
AI is being highly deployed at the edge of networks, allowing real-time data processing and decision-making in IoT devices and reducing latency in applications.

Embodied AI
The emerging field of embodied AI focuses on AI systems integrated with physical embodiments, which play a crucial role in robotics and human-computer interactions. To explore this topic in depth, refer to our Embodied AI Market report.

Ethical AI and Regulation
Growing focus on developing ethical AI practices and regulations is shaping the industry, focusing on transparency, fairness, and mitigating biases in AI systems.

Research Scope and Analysis

By Offering

As an offering, Software is critical to the growth of the Artificial Intelligence (AI) market, providing accessible and scalable solutions for businesses across various industries. AI-driven software applications, like predictive analytics, automation tools, and customer relationship management systems, allow companies to improve efficiency, make data-driven decisions, and provide personalized services. 

By integrating AI into software, businesses can harness the power of high-end algorithms and machine learning without requiring specialized expertise, which also promotes broad adoption, driving market expansion. In addition, cloud-based AI software solutions provide flexibility and affordability, allowing companies of all sizes to implement AI capabilities seamlessly. As the need for intelligent applications constantly rises, the role of software in delivering AI solutions remains a key driver of market growth.

Further, the services segment is expected to show a significant over the forecast period in the Artificial Intelligence (AI) market by providing customized expertise and support. Consulting, implementation, and managed services help businesses effectively integrate AI technologies into their operations. These services allow optimal deployment, maintenance, and scaling of AI solutions, minimizing the complexity and costs associated with AI adoption. By providing specialized knowledge and ongoing assistance, service providers allow companies to harness AI's full potential, driving market growth and encouraging innovation across various sectors.

By Technology

Machine Learning (ML) is expected to play a major role in the growth of the Artificial Intelligence (AI) market in 2024 by providing the backbone for creating intelligent systems. ML algorithms allow AI systems to learn from data, enhance over time, and make predictions or decisions without human intervention, which improves various industries, from healthcare to finance, by automating processes, enhancing efficiency, and uncovering insights from large datasets. As businesses highly adopt AI to stay competitive, the need for specialized ML models grows, driving the Machine Learning market expansion. Further, the scalability and adaptability of ML solutions allow companies to innovate and provide personalized experiences, driving the AI market growth.

Also, Natural Language Processing (NLP) is vital in expanding the Artificial Intelligence (AI) market in the coming years by allowing machines to understand, interpret, and respond to human language, which enhances customer interactions through chatbots, virtual assistants, and sentiment analysis tools, enhancing customer service & user experience. The Natural Language Processing Market is experiencing rapid growth as NLP-driven solutions streamline operations by automating tasks like translation, content generation, and data analysis. As businesses look to use these capabilities, the need for NLP technologies grows, highly contributing to the overall growth of the AI market.

Artificial Intelligence (AI) Market Technology Analysis

By Business Function

Finance & accounting is a major business function in the growth of the Artificial Intelligence (AI) market by driving demand for AI-driven solutions that improve accuracy and efficiency. AI technologies automate repetitive tasks like bookkeeping, fraud detection, and financial forecasting, allowing finance professionals to focus on strategic decision-making. By using AI, businesses can enhance financial reporting, ensure regulatory compliance, and gain deeper insights into their financial health, which propels the expansion of the AI market.

Further, cybersecurity is also a critical business function in the growth of the Artificial Intelligence (AI) market by demanding advanced AI solutions to protect against evolving threats. AI-driven cybersecurity tools can detect, predict, and respond to cyber-attacks in real-time, improving the security posture of businesses. By automating threat detection and response, AI helps reduce the workload on cybersecurity professionals and ensures more robust protection of sensitive data. Moreover, the increase in the need for specialized cybersecurity measures drives the adoption of AI technologies, significantly contributing to the AI market's expansion.

By Industry Vertical

The BFSI (Banking, Financial Services, and Insurance) sector majorly drives the growth of the Artificial Intelligence (AI) market by adopting AI to improve customer service, risk management, & operational efficiency. AI technologies allow customized banking experiences, automated customer support, fraud detection, and predictive analytics, transforming traditional financial services. As BFSI institutions use AI for better decision-making and streamlined processes, they support innovation and improve competitiveness, which accelerates the overall expansion and evolution of the AI market.

Further, in the telecommunications industry usage of AI to optimize network management, enhance customer service, and improve operational efficiency. AI applications in telecom include predictive maintenance, automated customer support, and advanced data analytics, which support operations and enhance user experiences. As telecom companies adopt AI to manage large data volumes and complex networks, they enhance their competitive edge and foster innovation, which significantly contributes to the market's expansion.

The Artificial Intelligence (AI) Market Report is segmented on the basis of the following:

By Offering

  • Hardware
    • Accelerators
    • Processors
      • Graphics Processing Unit (GPU)
      • Central Processing Unit (CPU)
      • Field Programmable Gate Arrays (FPGA)
      • Other Processors
    • Memory
    • Networking Hardware
  • Software
    • Type
      • Discriminative AI
        • Classification Algorithms
        • Regression Algorithms
        • Deep Learning Platforms
        • Ensemble Methods
      • Generative AI
        • Rule-based Generative AI Models
        • Statistical-based Generative AI Models
        • Deep Learning Generative AI Platforms
        • Generative Adversarial Networks (GANs)
        • Autoencoders
        • Convolutional Neural Networks (CNNs)
        • Transformer Models
    • Deployment Mode
      • Cloud
      • On-Premises
    • Coding Automaton
      • No-code AI
      • Low-code AI
      • Pro-code AI
  • Services
    • Professional Services
      • Training & Consulting
      • System Integration & Deployment
      • Support & Maintenance
    • Managed Services

By Technology

  • Machine Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
  • Natural Language Processing
    • Natural Language Understanding (NLU)
      • Text Classification
      • Named Entity Recognition (NER)
      • Intent Recognition
      • Relationship Extraction
      • Other NLU Technologies
    • Natural Language Generation (NLG)
      • Text Summarization
      • Machine Translation
      • Language Modeling
      • Dialogue Generation
  • Computer Vision
    • Object Detection
    • Image Classification
    • Semantic Segmentation
    • Facial Recognition
    • Other Computer Vision Technologies
  • Context-Aware Artificial Intelligence (CAAI)
    • Context-Aware Recommendation Systems
    • Multi-Modal AI
    • Context-Aware Virtual Assistants

By Business Function

  • Marketing & Sales
    • Customer Segmentation
    • Predictive Lead Scoring
    • Personalized Recommendations
    • Dynamic Pricing Optimization
    • Churn Prediction
    • Sentiment Analysis
    • Marketing Attribution
    • Others
  • Human Resources
    • Candidate Screening
    • Employee Retention Analysis
    • Performance Management
    • Workforce Planning & Forecasting
    • Employee Feedback Analysis
    • Diversity & Inclusion Analytics
    • Others
  • Finance & Accounting
    • Fraud Detection
    • Financial Forecasting
    • Expense Management
    • Invoice Processing
    • Credit Risk Assessment
    • Regulatory Compliance
    • Budgeting & Planning
    • Others
  • Operations
    • Predictive Maintenance
    • Supply Chain Optimization
    • AIOPS
    • IT Service Management
    • Quality Control
    • Route Optimization
    • Cold Chain Monitoring
    • Inventory Management
    • Procurement Automation
    • Equipment Failure Prediction
    • Others
  • Cybersecurity
    • Threat Detection & Response
    • Anomaly Detection
    • Vulnerability Assessment
    • Identity & Access Management
    • Security Automation & Orchestration
    • End Point Protection
    • Network Traffic Analysis
    • Others

By Industry Vertical

  • BFSI
    • Fraud Detection & Prevention
    • Risk Assessment & Management
    • Algorithmic Trading
    • Credit Scoring & Underwriting
    • Customer Service Automation
    • Personalized Financial Recommendation
    • Investment Portfolio Management
    • Regulatory Compliance Management
    • Other BFSI Application
  • Retail & E-commerce
    • Personalized Product Recommendation
    • Customer Relationship Management
    • Visual Search
    • Virtual Customer Assistant
    • Price Optimization
    • Supply Chain Management & Demand Planning
    • Virtual Stores
    • Other Retail & E-commerce Applications
  • Manufacturing
    • Predictive Maintenance & Machinery Inspection
    • Material Movement
    • Production Planning
    • Recyclable Material Reclamation
    • Quality Control
    • Product Line Optimization
    • Intelligent Inventory Management
    • Other Manufacturing Applications
  • Government & Defense
    • Surveillance & Situational Awareness
    • Law Enforcement
    • Intelligence Analysis & Data Processing
    • Simulation & Training
    • Command & Control
    • Disaster Response & Recovery Assistance
    • E-Governance & Digital City Services
    • Other Government & Defense Application
  • Healthcare & Life Sciences
    • Patient Data & Risk Analysis
    • Lifestyle Management & Monitoring and Wearables
    • Precision Medicine
    • In-patient care & Hospital Management
    • Medical Imaging & Diagnostics
    • Drug Discovery
    • AI-assisted Medical Services
    • Medical Research
    • Other Healthcare & Life Sciences Application
  • Telecommunication
    • Network Security
    • Network Planning & Optimization
    • Network Automation
    • Customer Analytics
    • Conversational bots and Virtual Assistants
    • Data Analysis
    • Robotic Process Automation
    • Personalized Marketing
    • Other Telecommunication Applications
  • Energy & Utilities
    • Energy Demand Forecasting
    • Grid Optimization & Management
    • Energy Consumption Analytics
    • Smart Metering & Energy Data Management
    • Energy Storage Optimization
    • Real-Time Energy Monitoring & Control
    • Power Quality Monitoring & Management
    • Energy Trading & Forecasting
    • Intelligent Energy Management Systems
    • Other Energy & Utilities Applications
  • Automotive, Transportation & Logistics
    • Supply Chain Visibility & Tracking
    • Route Optimization
    • Intelligent Traffic Management
    • Driver Assistance Systems
    • Smart Logistics & Warehousing
    • Semi-Autonomous & Autonomous Vehicles
    • Fleet Management
    • Vehicle Diagnostics & Telematics
    • Other Automotive, Transportation & Logistics Applications
  • Agriculture
    • Crop Monitoring & Yield Prediction
    • Precision Farming
    • Soil Analysis & Nutrient Management
    • Pest & Disease Detection
    • Irrigation Optimization & Water Management
    • Automated Harvesting & Sorting
    • Weed Detection & Management
    • Weather & Climate Monitoring
    • Livestock Monitoring & Health Management
    • Other Agricultural Applications
  • IT/ITES
    • Automated Code Generation & Optimization
    • Automated IT Asset Management
    • IT Ticketing & Support Automation
    • Intelligent Data Backup & Recovery
    • Automated Software Testing & Quality Assurance
    • Other IT/ITES Applications
  • Media & Entertainment
    • Content Recommendation Systems
    • Content Creation & Generation
    • Content Copyright Protection
    • Audience Analytics & Segmentation
    • Personalized Advertising
    • Other Media & Entertainment Applications
  • Other Industry Verticals

Regional Analysis

The North American AI market is expected to capture a 31.8% revenue share in 2024, driven by supportive government initiatives focused on boosting AI adoption across many sectors. North American governments are actively investing in AI R&D setting up specialized research centers, and funding innovative AI projects. They are supporting AI to improve public safety, enhance transportation systems, and support development in healthcare, which collectively contribute to the region's significant market share.

Artificial Intelligence (AI) Market Regional Analysis

Further, in the Asia Pacific region, the AI market is expected to experience substantial growth, mainly due to the integration of AI in educational institutions. These institutions are adopting AI to provide personalized learning, intelligent tutoring systems, and advanced data analytics, thereby enhancing educational outcomes. Also, the European AI market is set to grow notably, driven by the financial sector's transformation. The adoption of AI technologies in finance is revolutionizing traditional practices, improving customer experiences, and reshaping the sector's landscape.

By Region

North America
  • The U.S.
  • Canada
Europe
  • Germany
  • The U.K.
  • France
  • Italy
  • Russia
  • Spain
  • Benelux
  • Nordic
  • Rest of Europe
Asia-Pacific
  • China
  • Japan
  • South Korea
  • India
  • ANZ
  • ASEAN
  • Rest of Asia-Pacific
Latin America
  • Brazil
  • Mexico
  • Argentina
  • Colombia
  • Rest of Latin America
Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Israel
  • Egypt
  • Rest of MEA

Competitive Landscape

The AI market is highly competitive, characterized by numerous players from established technology giants to innovative startups. Key factors driving competition include development in technology, diverse applications across industries, and constant investment in research and development. Companies are competing to provide cutting-edge solutions and gain market share by improving AI capabilities, enhancing user experiences, and addressing industry-specific needs, which supports rapid innovation and pushes the boundaries of AI technology.

Some of the prominent players in the Global Artificial Intelligence (AI) are:
  • AiCure
  • Amazon
  • IBM Corp
  • Microsoft Corp
  • Salesforce Inc
  • Alphabet Inc
  • Baidu Inc
  • H20.ai
  • Sensely Inc
  • Zebra Medical Vision
  • NVIDIA Corp
  • Iris.ai AS
  • Lifegraph
  • Intel Corp
  • Hewlett Packard Enterprise
  • Siemens AG
  • SAP SE
  • Oracle Corp
  • Cisco System
  • Other Key Players

Recent Developments

  • In July 2024, Google announced a raft of new software and initiatives to accelerate AI-specific app and service development in India, like new models, a benchmarking tool, a hackathon, an association with the MeitY Startup Hub, and a program granting up to USD 350,000 in Google Cloud credits.
  • In May 2024, OpenAI unveiled it plans around artificial intelligence-powered search product on raising the stakes in its competition with search king Google. Further, the Microsoft-backed OpenAI is working on a search product to potentially compete with Alphabet's Google and with Perplexity, a well-funded AI search startup.
  • In April 2024, Intel introduced the Intel Gaudi 3 accelerator to bring performance, openness, and choice to enterprise generative AI (GenAI), and launched a suite of new open scalable systems, next-gen products, and strategic collaborations to accelerate GenAI adoption.
  • In March 2024, Intel unveiled two new initiatives as part of the AI PC Acceleration Program to boost the development and deployment of new AI technologies by software developers, independent software vendors (ISVs), & independent hardware vendors (IHV), which will help the company optimize and maximize AI features on more than 100 million Intel Core Ultra-powered PCs through 2025.
  • In March 2024, Tech company Cognition launched Devin, the world's first AI software engineer capable of coding, and creating websites & software through a single prompt, designed to work alongside human engineers, which can write codes, and create websites, and software with just a single prompt. Further, the AI tool is not intended to replace human engineers but to help them and make their work easier.
  • In September 2023, EY launched EY.ai, a unifying platform that brings together human capabilities and artificial intelligence (AI) to assist its clients in transforming their businesses through the confident and responsible adoption of AI. EY.ai supports leading-edge EY technology platforms and AI capabilities, with deep experience in strategy, transactions, transformation, risk, assurance, and tax, all augmented by an advanced AI ecosystem.

Report Details

                            Report Characteristics
Market Size (2023) USD USD 259.1 Bn
Forecast Value (2032) USD 4,726.6 Bn
CAGR (2023-2032) 38.1%
Historical Data 2018 – 2023
Forecast Data 2024 – 2033
Base Year 2023
Estimate Year 2024
Report Coverage Market Revenue Estimation, Market Dynamics, Competitive Landscape, Growth Factors and etc.
Segments Covered By Offering (Hardware, Software, and Services), By Technology (Machine Learning, Natural Language Processing, Computer Vision, and Context-Aware Artificial Intelligence (CAAI)), By Business Function (Marketing & Sales, Human Resources, Finance & Accounting, Operations, and Cybersecurity), By Industry Vertical (BFSI; Retail & E-commerce; Manufacturing & Defense; Healthcare & Life Sciences; Telecommunication; Energy & Utilities; Automotive, Transportation & Logistics; Agriculture; IT/ITES; Media & Entertainment; and Other Industry Verticals)
Regional Coverage North America – The US and Canada; Europe – Germany, The UK, France, Russia, Spain, Italy, Benelux, Nordic, & Rest of Europe; Asia- Pacific– China, Japan, South Korea, India, ANZ, ASEAN, Rest of APAC; Latin America – Brazil, Mexico, Argentina, Colombia, Rest of Latin America; Middle East & Africa – Saudi Arabia, UAE, South Africa, Turkey, Egypt, Israel, & Rest of MEA
Prominent Players AiCure, Amazon, IBM Corp, Microsoft Corp, Salesforce Inc, Alphabet Inc, Baidu Inc, H20.ai, Sensely Inc, Zebra Medical Vision, NVIDIA Corp, Iris.ai AS, Lifegraph, Intel Corp, Hewlett Packard Enterprise, Siemens AG, SAP SE, Oracle Corp, Cisco System, and Other Key Players
Purchase Options We have three licenses to opt for: Single User License (Limited to 1 user), Multi-User License (Up to 5 Users), and Corporate Use License (Unlimited User) along with free report customization equivalent to 0 analyst working days, 3 analysts working days and 5 analysts working days respectively.

 

Frequently Asked Questions

  • How big is the Global Artificial Intelligence (AI) Market?

    The Global Artificial Intelligence (AI) Market is expected to reach USD 259.1 billion in 2024, which is further expected to reach USD 4,726.6 billion by 2033.

  • Which region accounted for the largest Global Artificial Intelligence (AI) Market?

    North America is expected to dominate the Global Artificial Intelligence (AI) Market with a share of 31.8% in 2024.

  • How big is the Artificial Intelligence (AI) Market in the US?

    The Artificial Intelligence (AI) Market in the US is expected to reach USD 71.8 billion in 2024.

  • Who are the key players in the Global Artificial Intelligence (AI) Market?

    Some of the major key players in the Global Artificial Intelligence (AI) Market are AiCure, Amazon, IBM Corp,, and many others.

  • What is the growth rate in the Global Artificial Intelligence (AI) Market?

    The market is growing at a CAGR of 38.1 percent over the forecasted period.

  • Contents

      1.Introduction
        1.1.Objectives of the Study
        1.2.Market Scope
        1.3.Market Definition and Scope
      2.Artificial Intelligence (AI) Market Overview
        2.1.Global Artificial Intelligence (AI) Market Overview by Type
        2.2.Global Artificial Intelligence (AI) Market Overview by Application
      3.Artificial Intelligence (AI) Market Dynamics, Opportunity, Regulations, and Trends Analysis
        3.1.Market Dynamics
          3.1.1.Artificial Intelligence (AI) Market Drivers
          3.1.2.Artificial Intelligence (AI) Market Opportunities
          3.1.3.Artificial Intelligence (AI) Market Restraints
          3.1.4.Artificial Intelligence (AI) Market Challenges
        3.2.Emerging Trend/Technology
        3.3.PESTLE Analysis
        3.4.PORTER'S Five Forces Analysis
        3.5.Technology Roadmap
        3.6.Opportunity Map Analysis
        3.7.Case Studies
        3.8.Opportunity Orbits
        3.9.Pricing Analysis
        3.10.Ecosystem Analysis
        3.11.Supply/Value Chain Analysis
        3.12.Covid-19 & Recession Impact Analysis
        3.13.Product/Brand Comparison
      4.Global Artificial Intelligence (AI) Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Offering, 2017-2032
        4.1.Global Artificial Intelligence (AI) Market Analysis by By Offering: Introduction
        4.2.Market Size and Forecast by Region
        4.3.Hardware
        4.4.Software
        4.5.Services
      5.Global Artificial Intelligence (AI) Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Technology, 2017-2032
        5.1.Global Artificial Intelligence (AI) Market Analysis by By Technology: Introduction
        5.2.Market Size and Forecast by Region
        5.3.Machine Learning
        5.4.Natural Language Processing
        5.5.Computer Vision
      6.Global Artificial Intelligence (AI) Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Business Function, 2017-2032
        6.1.Global Artificial Intelligence (AI) Market Analysis by By Business Function: Introduction
        6.2.Market Size and Forecast by Region
        6.3.Marketing & Sales
        6.4.Human Resources
        6.5.Finance & Accounting
        6.6.Operations
        6.7.Cybersecurity
      7.Global Artificial Intelligence (AI) Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Industry Vertical, 2017-2032
        7.1.Global Artificial Intelligence (AI) Market Analysis by By Industry Vertical: Introduction
        7.2.Market Size and Forecast by Region
        7.3.Retail & E-commerce
        7.4.Manufacturing
        7.5.Government & Defense
        7.6.Healthcare & Life Sciences
        7.7.Telecommunication
        7.8.Energy & Utilities
        7.9.Automotive, Transportation & Logistics
        7.10.Agriculture
        7.11.IT/ITES
        7.12.Media & Entertainment
        7.13.Other Industry Verticals
      10.Global Artificial Intelligence (AI) Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Region, 2017-2032
        10.1.North America
          10.1.1.North America Artificial Intelligence (AI) Market: Regional Analysis, 2017-2032
            10.1.1.1.The US
            10.1.1.2.Canada
        10.2.1.Europe
          10.2.1.Europe Artificial Intelligence (AI) Market: Regional Trend Analysis
            10.2.1.1.Germany
            10.2.1.2.France
            10.2.1.3.UK
            10.2.1.4.Russia
            10.2.1.5.Italy
            10.2.1.6.Spain
            10.2.1.7.Nordic
            10.2.1.8.Benelux
            10.2.1.9.Rest of Europe
        10.3.Asia-Pacific
          10.3.1.Asia-Pacific Artificial Intelligence (AI) Market: Regional Analysis, 2017-2032
            10.3.1.1.China
            10.3.1.2.Japan
            10.3.1.3.South Korea
            10.3.1.4.India
            10.3.1.5.ANZ
            10.3.1.6.ASEAN
            10.3.1.7.Rest of Asia-Pacifc
        10.4.Latin America
          10.4.1.Latin America Artificial Intelligence (AI) Market: Regional Analysis, 2017-2032
            10.4.1.1.Brazil
            10.4.1.2.Mexico
            10.4.1.3.Argentina
            10.4.1.4.Colombia
            10.4.1.5.Rest of Latin America
        10.5.Middle East and Africa
          10.5.1.Middle East and Africa Artificial Intelligence (AI) Market: Regional Analysis, 2017-2032
            10.5.1.1.Saudi Arabia
            10.5.1.2.UAE
            10.5.1.3.South Africa
            10.5.1.4.Israel
            10.5.1.5.Egypt
            10.5.1.6.Turkey
            10.5.1.7.Rest of MEA
      11.Global Artificial Intelligence (AI) Market Company Evaluation Matrix, Competitive Landscape, Market Share Analysis, and Company Profiles
        11.1.Market Share Analysis
        11.2.Company Profiles
          11.3.1.Company Overview
          11.3.2.Financial Highlights
          11.3.3.Product Portfolio
          11.3.4.SWOT Analysis
          11.3.5.Key Strategies and Developments
        11.4.AiCure
          11.4.1.Company Overview
          11.4.2.Financial Highlights
          11.4.3.Product Portfolio
          11.4.4.SWOT Analysis
          11.4.5.Key Strategies and Developments
        11.5.Amazon
          11.5.1.Company Overview
          11.5.2.Financial Highlights
          11.5.3.Product Portfolio
          11.5.4.SWOT Analysis
          11.5.5.Key Strategies and Developments
        11.6.IBM Corp
          11.6.1.Company Overview
          11.6.2.Financial Highlights
          11.6.3.Product Portfolio
          11.6.4.SWOT Analysis
          11.6.5.Key Strategies and Developments
        11.7.Microsoft Corp
          11.7.1.Company Overview
          11.7.2.Financial Highlights
          11.7.3.Product Portfolio
          11.7.4.SWOT Analysis
          11.7.5.Key Strategies and Developments
        11.8.Salesforce Inc
          11.8.1.Company Overview
          11.8.2.Financial Highlights
          11.8.3.Product Portfolio
          11.8.4.SWOT Analysis
          11.8.5.Key Strategies and Developments
        11.9.Alphabet Inc
          11.9.1.Company Overview
          11.9.2.Financial Highlights
          11.9.3.Product Portfolio
          11.9.4.SWOT Analysis
          11.9.5.Key Strategies and Developments
        11.10.Baidu Inc
          11.10.1.Company Overview
          11.10.2.Financial Highlights
          11.10.3.Product Portfolio
          11.10.4.SWOT Analysis
          11.10.5.Key Strategies and Developments
        11.11.H20.ai
          11.11.1.Company Overview
          11.11.2.Financial Highlights
          11.11.3.Product Portfolio
          11.11.4.SWOT Analysis
          11.11.5.Key Strategies and Developments
        11.12.Sensely Inc
          11.12.1.Company Overview
          11.12.2.Financial Highlights
          11.12.3.Product Portfolio
          11.12.4.SWOT Analysis
          11.12.5.Key Strategies and Developments
        11.13.Zebra Medical Vision
          11.13.1.Company Overview
          11.13.2.Financial Highlights
          11.13.3.Product Portfolio
          11.13.4.SWOT Analysis
          11.13.5.Key Strategies and Developments
        11.14.NVIDIA Corp
          11.14.1.Company Overview
          11.14.2.Financial Highlights
          11.14.3.Product Portfolio
          11.14.4.SWOT Analysis
          11.14.5.Key Strategies and Developments
      12.Assumptions and Acronyms
      13.Research Methodology
      14.Contact
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