Artificial Intelligence Market

Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Deployment Mode, Organization Size, Business Function (Law, Security), Vertical and Region - Global forecast to 2027

Report Code: TC 7894 Aug, 2022, by marketsandmarkets.com

[431 Pages Report] The artificial intelligence market size to grow from USD 86.9 billion in 2022 to USD 407.0 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 36.2% during the forecast period. The growing big data, the increasing adoption of cloud-based applications and services, and an increase in demand for intelligent virtual assistants are the major growth drivers. The limited number of AI technology experts is the key restraint to the market. The market also faces critical challenges, including data privacy and the unreliability of AI algorithms. The underlying opportunities in the AI market include improving operational efficiency in the manufacturing industry and the adoption of AI to improve customer service.

Artificial Intelligence Market

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Market Dynamics

Driver: Need to achieve robotic autonomy to stay competitive in global market

The robotics business is currently undergoing significant change due to AI, including computer vision and machine learning. Businesses have begun to think about fully autonomous robots that can observe, interact, and conceive the environment around them in order to stay ahead in a global market. Industries are looking for dependable and skilled technology partners as they start to traverse the current technological transformation. Deep learning models analyse vast amounts of data, including images, texts, and sounds, accurately by using artificial neural networks. AI-driven automation has shown to be beneficial in a variety of applications across several industries, including the material handling, aviation, medical, agricultural, and energy sectors. Task automation, equipment diagnosis, and product anomaly detection are all made possible by AI.

Restraint: Limited number of AI experts

The workforce working with AI systems should be familiar with the technologies such as machine learning, deep learning, cognitive computing, and image recognition. To accurately mimic the functioning of the human brain, it is challenging to integrate AI technologies with the current systems and requires substantial data processing. Even small mistakes can cause a system to malfunction or fail, which has a significant impact on the outcomes and expected results. To modify a current ML-enabled AI service, a data scientist or developer's expert services are required. Because AI technology is still in its early stages of development, there are not many people in the workforce who have a thorough understanding of it. Thus, throughout the initial years of the forecast, the impact of this restraint is anticipated to be significant.

Opportunity: Increase in government initiatives and growth in investments to leverage AI technology

Government attention has been drawn to AI technology due to the expanding uses and simple deployment methods, which has resulted in an increase in government investments in AI and related technologies. The budget for AI-based pilot programs for a variety of AI applications, including road and public safety, traffic management, and digitization of government records, has begun to be allocated by government agencies, public sector organizations, and NGOs.

Challenge: Data security and privacy concerns

Marketing teams need real-time and secure data to provide a great client experience in today's competitive industry. Organizations are virtually measuring the data they collect through many touchpoints. Various data types may be included in the support and communication data. Public data, big data, and small data gathered from clients are some of these data categories. Permissions, personal preferences, and current contact information for goods, services, and communication platforms can all be included in this data. Thus, in order to keep customers' trust, vendors must ensure high-level data security. Cyberattackers have substantially increased and advanced in sophistication.

The computer vision segment is expected to grow at the highest CAGR during the forecast period

Based on technology, the artificial intelligence market is segmented into Machine Learning, Natural Language Processing, Context-Aware, and Computer Vision. Computer vision is a technology that aims to give a similar capability to machines, robots, and computers. This technology plays a significant role in semi-autonomous and autonomous cars as these cars cannot understand human hand signals or any other gestures without computer vision. In the agriculture application, computer vision technology is widely used for monitoring crop health and detecting nutrient deficiency in plants. For instance, IBM offers a solution named “IBM Maximo Visual Inspection,” which enables it to unleash the power of computer vision to automate inspection and produce high-quality outputs.

The large enterprises segment to account for the largest market size during the forecast period

The segmentation of the artificial intelligence market by the organization size includes large enterprises and SMEs. Large organizations in the BFSI, retail, healthcare, and telecommunications verticals need Natural Language Processing technology for identifying patterns in data. AI helps data management realize which of their practices are ineffective and what all are working best. Several organizational departments have been utilizing data to enhance their operations. For instance, sales departments that study consumer trends can get useful insights. AI makes sure that data reaches the right user without getting intercepted by cybercriminals who may employ man-in-the-middle, spear phishing, ransomware, spyware, or any other cyberattacks. Essentially, AI is democratizing data governance. For instance, it is used in automated process discovery to analyze behavioral data generated during data processing.

North America to account for the largest market size during the forecast period

North America has witnessed significant growth in the AI market. North America has been the most-promising region across verticals, such as BFSI, retail and eCommerce, telecom, and travel and hospitality. The government and public sector have also joined the race to become technologically advanced to cater to a large customer base. North America is contributing significantly to the AI market and is expected to grow further.

Artificial Intelligence Market Size, and Share

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Key Market Players

The bot service providers have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major players in the artificial intelligence market include Google Inc. (US), Microsoft Corporation (US), NVIDIA Corporation (US), Intel Corporation (US), Samsung Electronics Co., Ltd. (South Korea), IBM Corporation (US), Amazon Web Services, Inc. (US), Oracle (US), Meta (US), Salesforce (US), Cisco (US), Siemens (US), Huawei (China), SAP SE (Germany), SAS Institute (US), Baidu, Inc. (China), Alibaba Cloud (China), iFLYTEK (China), and Hewlett Packard Enterprise Development LP (US).

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Scope of the Report

Report Metrics

Details

Market size available for years

2016–2027

Base year considered

2022

Forecast period

2022–2027

Forecast units

USD (Million/Billion)

Segments covered

Offering, Technology, Organization Size, Deployment Mode, Business Function, Verticals, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, Central America, and Latin America

Companies covered

Google Inc. (US), Microsoft Corporation (US), NVIDIA Corporation (US), Intel Corporation (US), Samsung Electronics Co., Ltd. (South Korea), IBM Corporation (US), Amazon Web Services, Inc. (US), Oracle (US), Meta (US), Salesforce (US), Cisco (US), Siemens (US), Huawei (China), SAP SE (Germany), SAS Institute (US), Baidu, Inc. (China), Alibaba Cloud (China), iFLYTEK (China), and Hewlett Packard Enterprise Development LP (US), general Vision(US), Darktrace (UK), Blackberry Limited (Canada), Didi Chuxing (China), Face++ (China), Inbenta (US), Anju Software (US), Butterfly Network (US), Atomwise (US), Intrinsic (US), Aibrain (US), Adapteva (US), Koniku (US), Knuedge (US), SK Hynix (South Korea), Progress DataRPM (US), Precision Hawk (US), AgEagle Aerial System (US), Neurala (US), Twitter (US), Aurea Software (US), Persado (US) 8X8 (US), Appier (Taiwan), Gumgum (US), IPRO (US), Graphcore (UK), Preferred Networks (Japan), Zensed (Sweden), Applied Brain Research (Canada), Pilot AI Lab (US), Iris Automation (US), Gamaya (Switzerland), EC2CE (Spain), Descartes Labs (US), Mythic (US).

This research report categorizes the artificial intelligence market based on component, type, infrastructure type, deployment type, organization size, vertical, and region.

By Offering:

  • Hardware
  • Software
  • Services

By Technology:

  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision

By Organization Size:

  • Large Enterprises
  • SMEs

By Deployment Mode:

  • On-premises
  • Cloud

By Business Function:

  • Finance
  • Security
  • Human Resources
  • Law
  • Marketing and Sales
  • Other Business Function (IT operations)

By Verticals:

  • BFSI
  • IT/ ITES
  • Telecommunication
  • Government and Defense
  • Manufacturing
  • Healthcare and Lifesciences
  • Retail and Ecommerce
  • Automotive, Transportation & Logistics
  • Energy and Utilities
  • Others (travel and hospitality, and education)

By Region:

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Middle East and Africa
    • Kingdom of Saudi Arabia
    • United Emirates Arab
    • South Africa
    • Rest of Middle East and Africa
  • Central America
    • Costa Rica
    • Rest of Central America
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In May 2022, Google launched two new solutions named “Manufacturing Data Engine and Manufacturing Connect,” to help manufacturers process and standardize data and improve visibility from the factory floor to the cloud.
  • In March 2022, Microsoft announced enhancement in its cloud technologies for life sciences and healthcare with the availability of Azure health data and updates to Microsoft cloud for healthcare.
  • In December 2021, Microsoft announced the availability of Teams essentials, which gives small businesses a professional and affordable meeting solution.
  • In May 2021, Google launched three new services, namely “Dataplex, Analytics hub, and Datastream,” to empower customers with a unified data cloud platform. It would also enable them to empower and securely predict business outcomes.
  • In February 2020, Intel announced the addition of new performance and performance-per-dollar-optimized processors to the Intel Xeon Scalable platform, the industry’s most widely deployed server platform with more than 30 million units sold. The addition of these new processors targets most of Intel’s mainstream Xeon Scalable customers across cloud, network, and edge.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 58)
    1.1 STUDY OBJECTIVES
    1.2 MARKET DEFINITION
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED
           TABLE 1 USD EXCHANGE RATES, 2019–2021
    1.5 STAKEHOLDERS
    1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY (Page No. - 63)
    2.1 RESEARCH DATA
           FIGURE 1 ARTIFICIAL INTELLIGENCE MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 DATA TRIANGULATION
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION
           FIGURE 3 ARTIFICIAL INTELLIGENCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY-SIDE), REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2, BOTTOM-UP (SUPPLY-SIDE), COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3, BOTTOM-UP  (SUPPLY-SIDE), REVENUE FROM SOLUTION/SERVICE PROVIDERS OF  ARTIFICIAL INTELLIGENCE
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 4, BOTTOM-UP (DEMAND-SIDE), SHARE OF ARTIFICIAL INTELLIGENCE THROUGH OVERALL ARTIFICIAL INTELLIGENCE SPENDING
    2.4 MARKET FORECAST
           TABLE 3 FACTOR ANALYSIS
    2.5 KEY COMPANY EVALUATION MATRIX METHODOLOGY
           FIGURE 8 KEY COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
           FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.7 ASSUMPTIONS
    2.8 LIMITATIONS

3 EXECUTIVE SUMMARY (Page No. - 76)
    TABLE 4 GLOBAL AI MARKET AND GROWTH RATE, 2016–2021 (USD BILLION, Y-O-Y)
    TABLE 5 GLOBAL AI MARKET AND GROWTH RATE, 2022–2027 (USD BILLION, Y-O-Y)
    FIGURE 10 SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2022
    FIGURE 11 PROCESSORS SEGMENT TO DOMINATE MARKET IN 2022
    FIGURE 12 ML FRAMEWORK TO DOMINATE MARKET IN 2022
    FIGURE 13 DEPLOYMENT AND INTEGRATION TO ACCOUNT FOR LARGER MARKET IN 2022
    FIGURE 14 MACHINE LEARNING SEGMENT TO BE LARGEST IN 2022
    FIGURE 15 CLOUD DEPLOYMENT TO ACCOUNT FOR LARGER MARKET IN 2022
    FIGURE 16 LARGE ENTERPRISES TO DOMINATE MARKET IN 2022
    FIGURE 17 LAW TO ACCOUNT FOR LARGEST BUSINESS FUNCTION DURING FORECAST PERIOD
    FIGURE 18 NORTH AMERICA TO ACCOUNT FOR LARGEST REGIONAL SHARE  BY 2027

4 PREMIUM INSIGHTS (Page No. - 81)
    4.1 ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE MARKET
           FIGURE 19 RAPID SURGE OF CYBERSECURITY INCIDENTS DRIVING GROWTH OF AI
    4.2 MARKET, BY PROCESSOR
           FIGURE 20 GPU TO ACCOUNT FOR LARGEST MARKET, 2022
    4.3 MARKET, BY KEY BUSINESS FUNCTION
           FIGURE 21 MARKETING AND SALES TO ACCOUNT FOR LARGEST FUNCTION DURING FORECAST PERIOD
    4.4 MARKET, BY OFFERING & KEY VERTICAL
           FIGURE 22 SOFTWARE AND BFSI SEGMENTS TO ACCOUNT FOR SIGNIFICANT RESPECTIVE MARKET SHARES, 2022
    4.5 MARKET, BY REGION
           FIGURE 23 NORTH AMERICA DOMINATED AI MARKET IN 2021

5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 84)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           FIGURE 24 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES:  ARTIFICIAL INTELLIGENCE MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Growth of data-based AI and advancement in deep learning
                    5.2.1.2 Need to achieve robotic autonomy to stay competitive in global market
           5.2.2 RESTRAINTS
                    5.2.2.1 Limited number of AI experts
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Growth in ethical AI development to boost adoption of AI technology
                    5.2.3.2 Increase in government initiatives and growth in investments to leverage AI technology
           5.2.4 CHALLENGES
                    5.2.4.1 Data security and privacy concerns
    5.3 INVESTMENTS IN ARTIFICIAL INTELLIGENCE
           TABLE 6 MAJOR INVESTMENTS IN ARTIFICIAL INTELLIGENCE, 2018–2021
    5.4 ACQUISITIONS IN MARKET
           TABLE 7 MAJOR ACQUISITIONS IN MARKET BETWEEN 2018 AND 2021
           5.4.1 CUMULATIVE GROWTH ANALYSIS
    5.5 EVOLUTION
           FIGURE 25 EVOLUTION OF ARTIFICIAL INTELLIGENCE
    5.6 ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM
           TABLE 8 MARKET ECOSYSTEM
    5.7 CASE STUDY ANALYSIS
           5.7.1 RETAIL AND ECOMMERCE
                    5.7.1.1 Use Case 1: ASOS used Microsoft Azure ML service to reduce time-to-market for recommendation models
                    5.7.1.2 Use case 2: AWS helped Artfinder give recommendations to its customers
           5.7.2 MARKETING AND SALES
                    5.7.2.1 Use Case 1: US Foods used Snowflake and DataRobot solutions to analyze transactions from 300,000 customers
                    5.7.2.2 Use case 2: Marketing technology companies use H2O.ai technology to deliver innovative marketing solutions
           5.7.3 HEALTHCARE AND LIFESCIENCES
                    5.7.3.1 Use Case 1: Tamil Nadu eGovernance Agency (TNeGA) used an AI-based mobile app to enable screening of people for cataract
                    5.7.3.2 Use case 2: Inspire used ML to connect millions of patients and caregivers on AWS
           5.7.4 FINTECH
                    5.7.4.1 Use Case 1: Humana used Watson Assistant to address customer queries
                    5.7.4.2 Use case 2: H2O Driverless AI used by various financial institutions to detect and prevent fraud
           5.7.5 SECURITY
                    5.7.5.1 Use Case 1: Cybraics nLighten platform helped prevent systems from cyber threats
                    5.7.5.2 Use case 2: Cognizant created an AI-enabled smudging solution for an Indian insurance company to protect biometric data
           5.7.6 AGRICULTURE
                    5.7.6.1 Use Case 1: Biochemical company built digital solution to deliver accurate product recommendations through AI
                    5.7.6.2 Use case 2: An agrochemical company used precision farming solution to predict Mildew disease in crops
           5.7.7 MANUFACTURING
                    5.7.7.1 Use Case 1: Kia Motors America relied on advanced analytics and AI from SAS to improve products and customer satisfaction
                    5.7.7.2 Use case 2: Coca-Cola used IBM Watson services for Core ML to identify equipment issues, diagnose problems, and troubleshoot repairs
           5.7.8 LAW
                    5.7.8.1 Use Case 1: Law Society of British Columbia (BC) used Dataiku for risk ranking and anomaly detection
                    5.7.8.2 Use case 2: Nia Contracts Analysis of Infosys leveraged advanced ML techniques to help customers derive insights from legal documents
           5.7.9 CONSTRUCTION
                    5.7.9.1 Use Case 1: General Contractor leverages ALICE on Silicon Valley Project to save millions
    5.8 TECHNOLOGY ANALYSIS
           5.8.1 ARTIFICIAL INTELLIGENCE AND BIG DATA
           5.8.2 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
           5.8.3 ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING
    5.9 SUPPLY CHAIN ANALYSIS
           FIGURE 26 ARTIFICIAL INTELLIGENCE: SUPPLY CHAIN ANALYSIS
    5.10 VALUE CHAIN ANALYSIS
           FIGURE 27 ARTIFICIAL INTELLIGENCE: VALUE CHAIN ANALYSIS
    5.11 PORTER’S FIVE FORCES ANALYSIS
                    FIGURE 28 ARTIFICIAL INTELLIGENCE: PORTER’S FIVE FORCES ANALYSIS
                    TABLE 9 ARTIFICIAL INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.11.1 THREAT FROM NEW ENTRANTS
           5.11.2 THREAT FROM SUBSTITUTES
           5.11.3 BARGAINING POWER OF SUPPLIERS
           5.11.4 BARGAINING POWER OF BUYERS
           5.11.5 INTENSITY OF COMPETITIVE RIVALRY
    5.12 PRICING MODEL ANALYSIS
                    TABLE 10 PRICING ANALYSIS
    5.13 PATENT ANALYSIS
           5.13.1 METHODOLOGY
           5.13.2 DOCUMENT TYPE
                    TABLE 11 PATENTS FILED, 2018–2021
           5.13.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 29 ANNUAL NUMBER OF PATENTS GRANTED, 2018–2021
                    5.13.3.1 Top applicants
                               FIGURE 30 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2018–2021
                               TABLE 12 US: TOP 10 PATENT OWNERS IN ARTIFICIAL INTELLIGENCE MARKET, 2018–2021
    5.14 KEY CONFERENCES AND EVENTS
                    TABLE 13 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2022–2023
    5.15 TARIFF AND REGULATORY LANDSCAPE
           5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 14 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 15 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 16 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 17 MIDDLE EAST AND AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 18 CENTRAL AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 19 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.15.2 NORTH AMERICA: REGULATIONS
                    5.15.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
                    5.15.2.2 Gramm-Leach-Bliley (GLB) Act
                    5.15.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996
                    5.15.2.4 Federal Information Security Management Act (FISMA)
                    5.15.2.5 Federal Information Processing Standards (FIPS)
                    5.15.2.6 California Consumer Privacy Act (CSPA)
           5.15.3 EUROPE: TARIFFS AND REGULATIONS
                    5.15.3.1 GDPR 2016/679 is a regulation in the EU
                    5.15.3.2 General Data Protection Regulation
                    5.15.3.3 European Committee for Standardization (CEN)
                    5.15.3.4 European Technical Standards Institute (ETSI)
    5.16 KEY STAKEHOLDERS AND BUYING CRITERIA
           5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    TABLE 20 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE TECHNOLOGIES
           5.16.2 BUYING CRITERIA
                    TABLE 21 KEY BUYING CRITERIA FOR TOP THREE TECHNOLOGIES

6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING (Page No. - 118)
    6.1 INTRODUCTION
           6.1.1 OFFERING: MARKET DRIVERS
                    FIGURE 31 SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 22 MARKET, BY OFFERING, 2016–2021 (USD BILLION)
                    TABLE 23 MARKET, BY OFFERING, 2022–2027 (USD BILLION)
    6.2 HARDWARE
           6.2.1 INCREASING COMPETITION LEADING TO VARIOUS LAUNCHES AND DEVELOPMENTS IN HARDWARE PLATFORMS
                    FIGURE 32 MEMORY HARDWARE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 24 MARKET, BY HARDWARE, 2016–2021 (USD BILLION)
                    TABLE 25 MARKET, BY HARDWARE, 2022–2027 (USD BILLION)
                    TABLE 26 HARDWARE: MARKET, BY REGION, 2016–2021 (USD BILLION)
                    TABLE 27 HARDWARE: MARKET, BY REGION, 2022–2027 (USD BILLION)
           6.2.2 PROCESSORS
                    6.2.2.1 Replacement of large hardware devices by smaller, powerful, and efficient chips
                               FIGURE 33 GRAPHICS PROCESSING UNIT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                               TABLE 28 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2016–2021 (USD BILLION)
                               TABLE 29 MARKET, BY PROCESSOR, 2022–2027 (USD BILLION)
                               TABLE 30 PROCESSORS: MARKET, BY REGION,  2016–2021 (USD BILLION)
                               TABLE 31 PROCESSORS: MARKET, BY REGION,  2022–2027 (USD BILLION)
                    6.2.2.2 Microprocessing unit
                               TABLE 32 MICROPROCESSING UNIT: MARKET, BY REGION,  2016–2021 (USD BILLION)
                               TABLE 33 MICROPROCESSING UNIT: MARKET, BY REGION,  2022–2027 (USD BILLION)
                    6.2.2.3 Graphics Processing Unit
                               TABLE 34 GRAPHICS PROCESSING UNIT: MARKET, BY REGION,  2016–2021 (USD MILLION)
                               TABLE 35 GRAPHICS PROCESSING UNIT: MARKET, BY REGION,  2022–2027 (USD MILLION)
                    6.2.2.4 Field Programmable Gate Arrays
                               TABLE 36 FIELD PROGRAMMABLE GATE ARRAYS: MARKET, BY REGION, 2016–2021 (USD MILLION)
                               TABLE 37 FIELD PROGRAMMABLE GATE ARRAYS: MARKET, BY REGION, 2022–2027 (USD MILLION)
                    6.2.2.5 Other processors
                               TABLE 38 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD MILLION)
                               TABLE 39 OTHER PROCESSORS: MARKET, BY REGION,  2022–2027 (USD MILLION)
           6.2.3 MEMORY
                    6.2.3.1 Memory solutions for AI technologies to offer high-performance memory to speed up large-scale processing
                               TABLE 40 MEMORY: MARKET, BY REGION, 2016–2021 (USD MILLION)
                               TABLE 41 MEMORY: MARKET, BY REGION, 2022–2027 (USD MILLION)
           6.2.4 NETWORK
                    6.2.4.1 Network interconnects adapters for general and AI applications to offer high-speed data transfer
                               TABLE 42 NETWORK: MARKET, BY REGION, 2016–2021 (USD MILLION)
                               TABLE 43 NETWORK: MARKET, BY REGION, 2022–2027 (USD MILLION)
    6.3 SOFTWARE
           6.3.1 DEVELOPMENTS IN AI SOFTWARE SYNTHESIZE DATA AND INTEGRATE IT INTO COMPUTER SYSTEMS TO PERFORM COMPLEX OPERATIONS
                    FIGURE 34 APPLICATION PROGRAM INTERFACE TO GROW HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 44 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2016–2021 (USD BILLION)
                    TABLE 45 MARKET, BY SOFTWARE, 2022–2027 (USD BILLION)
                    TABLE 46 SOFTWARE: MARKET, BY REGION, 2016–2021 (USD BILLION)
                    TABLE 47 SOFTWARE: MARKET, BY REGION, 2022–2027 (USD BILLION)
           6.3.2 APPLICATION PROGRAM INTERFACE
                    TABLE 48 APPLICATION PROGRAM INTERFACE: MARKET, BY REGION, 2016–2021 (USD BILLION)
                    TABLE 49 APPLICATION PROGRAM INTERFACE: MARKET, BY REGION, 2022–2027 (USD BILLION)
           6.3.3 MACHINE LEARNING FRAMEWORK
                    TABLE 50 MACHINE LEARNING FRAMEWORK: MARKET, BY REGION, 2016–2021 (USD BILLION)
                    TABLE 51 MACHINE LEARNING FRAMEWORK: MARKET, BY REGION, 2022–2027 (USD BILLION)
    6.4 SERVICES
           6.4.1 COMPLEX ALGORITHMS TO PROVIDE ONLINE AND OFFLINE SUPPORT SERVICES TO AI VENDORS
                    FIGURE 35 DEPLOYMENT AND INTEGRATION TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 52 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2016–2021 (USD BILLION)
                    TABLE 53 MARKET, BY SERVICE, 2022–2027 (USD BILLION)
                    TABLE 54 SERVICES: MARKET, BY REGION, 2016–2021 (USD BILLION)
                    TABLE 55 SERVICES: MARKET, BY REGION, 2022–2027 (USD BILLION)
           6.4.2 DEPLOYMENT AND INTEGRATION
                    TABLE 56 DEPLOYMENT AND INTEGRATION: MARKET, BY REGION,  2016–2021 (USD MILLION)
                    TABLE 57 DEPLOYMENT AND INTEGRATION: MARKET, BY REGION,  2022–2027 (USD MILLION)
           6.4.3 SUPPORT AND MAINTENANCE
                    TABLE 58 SUPPORT AND MAINTENANCE: MARKET, BY REGION,  2016–2021 (USD MILLION)
                    TABLE 59 SUPPORT AND MAINTENANCE: MARKET, BY REGION,  2022–2027 (USD MILLION)

7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (Page No. - 139)
    7.1 INTRODUCTION
           7.1.1 TECHNOLOGY: MARKET DRIVERS
                    FIGURE 36 COMPUTER VISION TECHNOLOGY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 60 MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                    TABLE 61 MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
    7.2 MACHINE LEARNING
           7.2.1 RAPID ADOPTION OF AI TECHNOLOGIES TO ENHANCE SYSTEM PERFORMANCE
                    FIGURE 37 DEEP LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 62 MARKET, BY MACHINE LEARNING, 2016–2021 (USD BILLION)
                    TABLE 63 MARKET, BY MACHINE LEARNING, 2022–2027 (USD BILLION)
                    TABLE 64 MACHINE LEARNING: MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 65 MACHINE LEARNING: MARKET, BY REGION,  2022–2027 (USD BILLION)
           7.2.2 DEEP LEARNING
                    TABLE 66 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 67 DEEP LEARNING: MARKET, BY REGION,  2022–2027 (USD BILLION)
           7.2.3 SUPERVISED LEARNING
                    TABLE 68 SUPERVISED LEARNING: MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 69 SUPERVISED LEARNING: MARKET, BY REGION,  2022–2027 (USD BILLION)
           7.2.4 UNSUPERVISED LEARNING
                    TABLE 70 UNSUPERVISED LEARNING: MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 71 UNSUPERVISED LEARNING: MARKET, BY REGION,  2022–2027 (USD BILLION)
           7.2.5 REINFORCEMENT LEARNING
                    TABLE 72 REINFORCEMENT LEARNING: MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 73 REINFORCEMENT LEARNING: MARKET, BY REGION,  2022–2027 (USD BILLION)
           7.2.6 OTHER MACHINE LEARNING TECHNOLOGIES
                    TABLE 74 OTHER MACHINE LEARNING TECHNOLOGIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 75 OTHER MACHINE LEARNING TECHNOLOGIES: MARKET, BY REGION, 2022–2027 (USD MILLION)
    7.3 NATURAL LANGUAGE PROCESSING
           7.3.1 OFFERS REAL-TIME TRANSLATION AND ALLOWS USERS TO COMMUNICATE IN NATURAL LANGUAGE WITH SYSTEMS
                    TABLE 76 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2016–2021 (USD BILLION)
                    TABLE 77 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2022–2027 (USD BILLION)
    7.4 CONTEXT AWARENESS
           7.4.1 DEMAND FOR HARD AND SOFT SENSORS LEADING TO GROWTH OF CONTEXT AWARENESS TO COPE WITH THREATS
                    TABLE 78 CONTEXT AWARENESS: MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 79 CONTEXT AWARENESS: MARKET, BY REGION,  2022–2027 (USD BILLION)
    7.5 COMPUTER VISION
           7.5.1 DEVELOPMENTS IN AI TO AUTOMATE INSPECTION AND PRODUCE HIGH-QUALITY OUTPUTS
                    TABLE 80 COMPUTER VISION: MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 81 COMPUTER VISION: MARKET, BY REGION,  2022–2027 (USD BILLION)

8 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (Page No. - 152)
    8.1 INTRODUCTION
           8.1.1 DEPLOYMENT MODE: MARKET DRIVERS
                    FIGURE 38 CLOUD DEPLOYMENT MODE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 82 MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
                    TABLE 83 MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
    8.2 ON-PREMISES
           8.2.1 ABILITY TO OFFER SIGNIFICANT IMPROVEMENTS IN DATA VALIDATION AND STANDARDIZATION
                    TABLE 84 ON-PREMISES: MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 85 ON-PREMISES: MARKET, BY REGION,  2022–2027 (USD BILLION)
    8.3 CLOUD
           8.3.1 CLOUD PROVIDES ADDITIONAL FLEXIBILITY FOR BUSINESS OPERATIONS AND REAL-TIME DEPLOYMENT
                    TABLE 86 CLOUD: MARKET, BY REGION, 2016–2021 (USD BILLION)
                    TABLE 87 CLOUD: MARKET, BY REGION, 2022–2027 (USD BILLION)

9 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE (Page No. - 157)
    9.1 INTRODUCTION
           9.1.1 ORGANIZATION SIZE: MARKET DRIVERS
                    FIGURE 39 SMALL AND MEDIUM-SIZED ENTERPRISES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 88 MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION)
                    TABLE 89 MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION)
    9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
           9.2.1 AI TECHNOLOGIES TO AUTOMATE BUSINESS FORECASTS AND REDUCE RISK EXPOSURE
                    TABLE 90 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET,  BY REGION, 2016–2021 (USD BILLION)
                    TABLE 91 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET,  BY REGION, 2022–2027 (USD BILLION)
    9.3 LARGE ENTERPRISES
           9.3.1 AI TECHNOLOGIES TO ENHANCE OPERATIONS AND OFFER USEFUL INSIGHTS INTO CONSUMER TRENDS
                    TABLE 92 LARGE ENTERPRISES: MARKET, BY REGION,  2016–2021 (USD BILLION)
                    TABLE 93 LARGE ENTERPRISES: MARKET, BY REGION,  2022–2027 (USD BILLION)

10 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION (Page No. - 162)
     10.1 INTRODUCTION
             10.1.1 BUSINESS FUNCTIONS: MARKET DRIVERS
                       FIGURE 40 LAW FUNCTION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 94 MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
                       TABLE 95 MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
     10.2 ARTIFICIAL INTELLIGENCE: ENTERPRISE USE CASES
     10.3 FINANCE
             10.3.1 ABILITY TO PROVIDE ACTIONABLE INSIGHTS BY DERIVING PAST TRANSACTIONAL DATA AND CUSTOMER DEMOGRAPHICS
                       TABLE 96 FINANCE: MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 97 FINANCE: MARKET, BY REGION, 2022–2027 (USD BILLION)
             10.3.2 ARTIFICIAL INTELLIGENCE IN ACCOUNTING
             10.3.3 ARTIFICIAL INTELLIGENCE IN PAYROLL
             10.3.4 ARTIFICIAL INTELLIGENCE IN FINANCIAL PLANNING AND ANALYSIS
     10.4 SECURITY
             10.4.1 RAPID ADOPTION OF AI TECHNOLOGIES TO MAINTAIN DATA CONFIDENTIALITY AND INTEGRITY
                       TABLE 98 SECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 99 SECURITY: MARKET, BY REGION, 2022–2027 (USD BILLION)
             10.4.2 IDENTITY AND ACCESS MANAGEMENT
             10.4.3 RISK AND COMPLIANCE MANAGEMENT
             10.4.4 ENCRYPTION
             10.4.5 DATA LOSS PREVENTION
             10.4.6 UNIFIED THREAT MANAGEMENT
             10.4.7 ANTIVIRUS/ANTIMALWARE
             10.4.8 INTRUSION DETECTION/PREVENTION SYSTEMS
             10.4.9 OTHER SECURITY SOLUTIONS
     10.5 HUMAN RESOURCES
             10.5.1 USE OF AI TECHNOLOGIES TO REVOLUTIONIZE HUMAN RESOURCE FUNCTIONS AND PRACTICES
                       TABLE 100 HUMAN RESOURCES: MARKET, BY REGION,  2016–2021 (USD BILLION)
                       TABLE 101 HUMAN RESOURCES: MARKET, BY REGION,  2022–2027 (USD BILLION)
             10.5.2 VIRTUAL ASSISTANT
             10.5.3 APPLICANT TRACKING AND ASSESSMENT
             10.5.4 PERSONALIZED LEARNING AND DEVELOPMENT
             10.5.5 HR ANALYTICS
             10.5.6 JOB RECOMMENDATION
             10.5.7 SENTIMENT ANALYSIS
     10.6 LAW
             10.6.1 ADOPTION OF AI TECHNOLOGIES TO PROVIDE EFFICIENT AND INNOVATIVE LEGAL ADVICE
                       TABLE 102 LAW: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 103 LAW: MARKET, BY REGION, 2022–2027 (USD BILLION)
             10.6.2 EDISCOVERY
             10.6.3 LEGAL RESEARCH
             10.6.4 CONTRACT ANALYSIS
             10.6.5 CASE PREDICTION
             10.6.6 COMPLIANCE
             10.6.7 OTHER APPLICATIONS
     10.7 MARKETING AND SALES
             10.7.1 USE OF AI TECHNOLOGIES TO OFFER PROGRAMMATIC TRENDS AND OPPORTUNITIES TO MARKETERS
                       TABLE 104 MARKETING AND SALES: MARKET, BY REGION,  2016–2021 (USD BILLION)
                       TABLE 105 MARKETING AND SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2022–2027 (USD BILLION)
             10.7.2 SOCIAL MEDIA ADVERTISING
             10.7.3 SEARCH ADVERTISING
             10.7.4 DYNAMIC PRICING
             10.7.5 VIRTUAL ASSISTANT
             10.7.6 CONTENT CURATION
             10.7.7 SALES AND MARKETING AUTOMATION
             10.7.8 ANALYTICS PLATFORM
             10.7.9 OTHER MARKETING AND SALES SOLUTIONS
     10.8 OTHER BUSINESS FUNCTIONS
               TABLE 106 OTHER BUSINESS FUNCTIONS: MARKET, BY REGION,  2016–2021 (USD BILLION)
               TABLE 107 OTHER BUSINESS FUNCTIONS: MARKET, BY REGION,  2022–2027 (USD BILLION)

11 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL (Page No. - 178)
     11.1 INTRODUCTION
             11.1.1 VERTICAL: MARKET DRIVERS
                       FIGURE 41 HEALTHCARE AND LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 108 MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
                       TABLE 109 MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
     11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
             11.2.1 AI HELPS TO ENHANCE CUSTOMER SERVICE
                       TABLE 110 BFSI: KEY USE CASES, BY APPLICATION
                       TABLE 111 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 112 BFSI: MARKET, BY REGION, 2022–2027 (USD BILLION)
                       TABLE 113 BFSI: MARKET, BY APPLICATION, 2016–2021 (USD BILLION)
                       TABLE 114 BFSI: MARKET, BY APPLICATION, 2022–2027 (USD BILLION)
             11.2.2 ENHANCED CUSTOMER EXPERIENCE
             11.2.3 PREDICTION OF FUTURE OUTCOMES AND TRENDS
             11.2.4 ROBOTIC AUTOMATION OF PROCESSES
             11.2.5 CREDIT DECISIONS
     11.3 RETAIL AND ECOMMERCE
             11.3.1 AI HELPS UNDERSTAND CONSUMER BEHAVIOR, HELPING MARKETERS INFLUENCE THEIR BUYING DECISION
                       TABLE 115 RETAIL AND ECOMMERCE: KEY USE CASES, BY APPLICATION
                       TABLE 116 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
                       TABLE 117 RETAIL AND ECOMMERCE: MARKET, BY REGION,  2022–2027 (USD BILLION)
                       TABLE 118 RETAIL AND ECOMMERCE: MARKET, BY APPLICATION,  2016–2021 (USD BILLION)
                       TABLE 119 RETAIL AND ECOMMERCE: MARKET, BY APPLICATION,  2022–2027 (USD BILLION)
             11.3.2 PRODUCT RECOMMENDATION AND PLANNING
             11.3.3 CUSTOMER RELATIONSHIP MANAGEMENT
             11.3.4 VISUAL SEARCH
             11.3.5 VIRTUAL ASSISTANT
             11.3.6 PRICE OPTIMIZATION
             11.3.7 PAYMENT SERVICES MANAGEMENT
             11.3.8 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING
             11.3.9 VIRTUAL STORES
             11.3.10 OTHER APPLICATIONS
     11.4 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS
             11.4.1 AI ENHANCES USER EXPERIENCE AND CONVENIENT FEATURES IN HUMAN-MACHINE INTERFACE
                       TABLE 120 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: KEY USE CASES, BY APPLICATION
                       TABLE 121 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET,  BY REGION, 2016–2021 (USD BILLION)
                       TABLE 122 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET,  BY REGION, 2022–2027 (USD BILLION)
                       TABLE 123 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET,  BY APPLICATION, 2016–2021 (USD BILLION)
                       TABLE 124 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MARKET,  BY APPLICATION, 2022–2027 (USD BILLION)
             11.4.2 AUTONOMOUS DRIVING
             11.4.3 HUMAN-MACHINE INTERFACE
             11.4.4 SEMIAUTONOMOUS DRIVING
     11.5 GOVERNMENT AND DEFENSE
             11.5.1 AI TECHNOLOGIES TO HELP SOLVE COMPLEX PROBLEMS AND ENHANCE DECISION-MAKING PROCESS
                       TABLE 125 GOVERNMENT AND DEFENSE: KEY USE CASES, BY APPLICATION
                       TABLE 126 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
                       TABLE 127 GOVERNMENT AND DEFENSE: MARKET, BY REGION,  2022–2027 (USD BILLION)
                       TABLE 128 GOVERNMENT AND DEFENSE: MARKET, BY APPLICATION, 2016–2021 (USD BILLION)
                       TABLE 129 GOVERNMENT AND DEFENSE: MARKET, BY APPLICATION, 2022–2027 (USD BILLION)
             11.5.2 CUSTOMER SERVICE CHATBOTS
             11.5.3 AUTONOMOUS DRONES
             11.5.4 SURVEILLANCE
             11.5.5 PREDICTING A CRIME AND RECOMMENDING OPTIMAL POLICE PRESENCE
             11.5.6 IDENTIFYING FRAUDULENT BENEFITS CLAIMS
     11.6 HEALTHCARE AND LIFESCIENCES
             11.6.1 USE OF AI TO ACCELERATE GROWTH OF MEDICAL IMAGING AND DIAGNOSTICS
                       TABLE 130 HEALTHCARE AND LIFESCIENCES: KEY USE CASES, BY APPLICATION
                       TABLE 131 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
                       TABLE 132 HEALTHCARE AND LIFESCIENCES: MARKET, BY REGION,  2022–2027 (USD BILLION)
                       TABLE 133 HEALTHCARE AND LIFESCIENCES: MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                       TABLE 134 HEALTHCARE AND LIFESCIENCES: MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
             11.6.2 PATIENT DATA AND RISK ANALYSIS
             11.6.3 LIFESTYLE MANAGEMENT AND MONITORING
             11.6.4 PRECISION MEDICINE
             11.6.5 INPATIENT CARE AND HOSPITAL MANAGEMENT
             11.6.6 MEDICAL IMAGING AND DIAGNOSTICS
             11.6.7 DRUG DISCOVERY
             11.6.8 VIRTUAL ASSISTANT
             11.6.9 WEARABLES
               11.6.10 MEDICAL RESEARCH
     11.7 IT/ITES
             11.7.1 RISE IN COMPLEXITY AND FAST INNOVATIONS TO DRIVE NEED FOR AI TO MANAGE IT OPERATIONS EFFECTIVELY
                       TABLE 135 IT/ITES: KEY USE CASES, BY APPLICATION
                       TABLE 136 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 137 IT/ITES: MARKET, BY REGION, 2022–2027 (USD BILLION)
                       TABLE 138 IT/ITES: MARKET, BY APPLICATION, 2016–2021 (USD BILLION)
                       TABLE 139 IT/ITES: MARKET, BY APPLICATION, 2022–2027 (USD BILLION)
             11.7.2 PREDICTIVE MAINTENANCE
             11.7.3 VIRTUAL ASSISTANTS FOR CUSTOMER SUPPORT
     11.8 ENERGY AND UTILITIES
             11.8.1 ADVANCED AI TECHNOLOGIES TO HELP BUILD ACCOUNTABLE, TRANSPARENT, FAIR, AND SECURE SYSTEMS
                       TABLE 140 ENERGY AND UTILITIES: KEY USE CASES, BY APPLICATION
                       TABLE 141 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 142 ENERGY AND UTILITIES: MARKET, BY REGION,  2022–2027 (USD MILLION)
                       TABLE 143 ENERGY AND UTILITIES: MARKET, BY APPLICATION,  2016–2021 (USD BILLION)
                       TABLE 144 ENERGY AND UTILITIES: MARKET, BY APPLICATION,  2022–2027 (USD BILLION)
             11.8.2 ENERGY EFFICIENCY DECISION-MAKING
             11.8.3 FAULT PREDICTION
             11.8.4 ARTIFICIAL INTELLIGENCE IN POWER GRIDS - SMART GRIDS AND SECTOR COUPLING
             11.8.5 ARTIFICIAL INTELLIGENCE IN ELECTRICITY TRADING
             11.8.6 ARTIFICIAL INTELLIGENCE IN THE VIRTUAL POWER PLANT
             11.8.7 ARTIFICIAL INTELLIGENCE IN THE SMART WATER METER
     11.9 TELECOMMUNICATION
             11.9.1 DEPLOYMENT OF AI SOLUTIONS TO ENHANCE CONTACT CENTER EFFECTIVENESS, REDUCE OPERATIONAL COSTS, AND IMPROVE SERVICE
                       TABLE 145 TELECOMMUNICATIONS: KEY USE CASES, BY APPLICATION
                       TABLE 146 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
                       TABLE 147 TELECOMMUNICATION: MARKET, BY REGION,  2022–2027 (USD BILLION)
                       TABLE 148 TELECOMMUNICATION: MARKET, BY APPLICATION,  2016–2021 (USD BILLION)
                       TABLE 149 TELECOMMUNICATION: MARKET, BY APPLICATION,  2022–2027 (USD BILLION)
             11.9.2 NETWORK OPTIMIZATION
             11.9.3 NETWORK ANOMALIES
     11.10 MANUFACTURING
               11.10.1 AI TECHNOLOGIES ENHANCE PERFORMANCE AND REDUCE REDUNDANCIES IN MANUFACTURING
                                   TABLE 150 MANUFACTURING: KEY USE CASES, BY APPLICATION
                                   TABLE 151 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION,  2016–2021 (USD BILLION)
                                   TABLE 152 MANUFACTURING: MARKET, BY REGION,  2022–2027 (USD BILLION)
                                   TABLE 153 MANUFACTURING: MARKET, BY APPLICATION,  2016–2021 (USD BILLION)
                                   TABLE 154 MANUFACTURING: MARKET, BY APPLICATION,  2022–2027 (USD BILLION)
               11.10.2 MATERIAL MOVEMENT
               11.10.3 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
               11.10.4 PRODUCTION PLANNING
               11.10.5 FIELD SERVICES
               11.10.6 RECLAMATION
               11.10.7 QUALITY CONTROL
               11.10.8 PRODUCTION LINE OPTIMIZATION
     11.11 OTHER VERTICALS
                       TABLE 155 OTHER VERTICALS: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 156 OTHER VERTICALS: MARKET, BY REGION,  2022–2027 (USD MILLION)

12 ARTIFICIAL INTELLIGENCE MARKET, BY REGION (Page No. - 214)
     12.1 INTRODUCTION
               FIGURE 42 CHINA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 43 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 157 MARKET, BY REGION, 2016–2021 (USD BILLION)
               TABLE 158 MARKET, BY REGION, 2022–2027 (USD BILLION)
     12.2 NORTH AMERICA
             12.2.1 NORTH AMERICA: MARKET DRIVERS
                       FIGURE 44 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 159 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING,  2016–2021 (USD BILLION)
                       TABLE 160 NORTH AMERICA: MARKET, BY OFFERING,  2022–2027 (USD BILLION)
                       TABLE 161 NORTH AMERICA: MARKET, BY HARDWARE,  2016–2021 (USD BILLION)
                       TABLE 162 NORTH AMERICA: MARKET, BY HARDWARE,  2022–2027 (USD BILLION)
                       TABLE 163 NORTH AMERICA: MARKET, BY PROCESSOR,  2016–2021 (USD BILLION)
                       TABLE 164 NORTH AMERICA: MARKET, BY PROCESSOR,  2022–2027 (USD BILLION)
                       TABLE 165 NORTH AMERICA: MARKET, BY SOFTWARE,  2016–2021 (USD BILLION)
                       TABLE 166 NORTH AMERICA: MARKET, BY SOFTWARE,  2022–2027 (USD BILLION)
                       TABLE 167 NORTH AMERICA: MARKET, BY SERVICE,  2016–2021 (USD BILLION)
                       TABLE 168 NORTH AMERICA: MARKET, BY SERVICE,  2022–2027 (USD BILLION)
                       TABLE 169 NORTH AMERICA: MARKET, BY TECHNOLOGY,  2016–2021 (USD BILLION)
                       TABLE 170 NORTH AMERICA: MARKET, BY TECHNOLOGY,  2022–2027 (USD BILLION)
                       TABLE 171 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING,  2016–2021 (USD BILLION)
                       TABLE 172 NORTH AMERICA: MARKET, BY MACHINE LEARNING,  2022–2027 (USD BILLION)
                       TABLE 173 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                       TABLE 174 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
                       TABLE 175 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD BILLION)
                       TABLE 176 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD BILLION)
                       TABLE 177 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION,  2016–2021 (USD BILLION)
                       TABLE 178 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION,  2022–2027 (USD BILLION)
                       TABLE 179 NORTH AMERICA: MARKET, BY VERTICAL,  2016–2021 (USD BILLION)
                       TABLE 180 NORTH AMERICA: MARKET, BY VERTICAL,  2022–2027 (USD BILLION)
                       TABLE 181 NORTH AMERICA: MARKET, BY COUNTRY,  2016–2021 (USD BILLION)
                       TABLE 182 NORTH AMERICA: MARKET, BY COUNTRY,  2022–2027 (USD BILLION)
             12.2.2 US
                       12.2.2.1 Innovations and initiatives to enable quick adoption of advanced technologies
                                   TABLE 183 US: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                                   TABLE 184 US: MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
                                   TABLE 185 US: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                                   TABLE 186 US: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
             12.2.3 CANADA
                       12.2.3.1 Rapid investments in R&D to adopt advanced technologies
     12.3 EUROPE
             12.3.1 EUROPE: MARKET DRIVERS
                       TABLE 187 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)
                       TABLE 188 EUROPE: MARKET, BY OFFERING, 2022–2027 (USD BILLION)
                       TABLE 189 EUROPE: MARKET, BY HARDWARE, 2016–2021 (USD BILLION)
                       TABLE 190 EUROPE: MARKET, BY HARDWARE, 2022–2027 (USD BILLION)
                       TABLE 191 EUROPE: MARKET, BY PROCESSOR,  2016–2021 (USD BILLION)
                       TABLE 192 EUROPE: MARKET, BY PROCESSOR,  2022–2027 (USD BILLION)
                       TABLE 193 EUROPE: MARKET, BY SOFTWARE, 2016–2021 (USD BILLION)
                       TABLE 194 EUROPE: MARKET, BY SOFTWARE, 2022–2027 (USD BILLION)
                       TABLE 195 EUROPE: MARKET, BY SERVICE, 2016–2021 (USD BILLION)
                       TABLE 196 EUROPE: MARKET, BY SERVICE, 2022–2027 (USD BILLION)
                       TABLE 197 EUROPE: MARKET, BY TECHNOLOGY,  2016–2021 (USD BILLION)
                       TABLE 198 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY,  2022–2027 (USD BILLION)
                       TABLE 199 EUROPE: MARKET, BY MACHINE LEARNING,  2016–2021 (USD BILLION)
                       TABLE 200 EUROPE: MARKET, BY MACHINE LEARNING,  2022–2027 (USD BILLION)
                       TABLE 201 EUROPE: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                       TABLE 202 EUROPE: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
                       TABLE 203 EUROPE: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD BILLION)
                       TABLE 204 EUROPE: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD BILLION)
                       TABLE 205 EUROPE: MARKET, BY BUSINESS FUNCTION,  2016–2021 (USD BILLION)
                       TABLE 206 EUROPE: MARKET, BY BUSINESS FUNCTION,  2022–2027 (USD BILLION)
                       TABLE 207 EUROPE: MARKET, BY VERTICAL,  2016–2021 (USD BILLION)
                       TABLE 208 EUROPE: MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
                       TABLE 209 EUROPE: MARKET, BY COUNTRY, 2016–2021 (USD BILLION)
                       TABLE 210 EUROPE: MARKET, BY COUNTRY,  2022–2027 (USD BILLION)
             12.3.2 UK
                       12.3.2.1 Initiatives by government to position UK as global science superpower
                                   TABLE 211 UK: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                                   TABLE 212 UK: MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
                                   TABLE 213 UK: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                                   TABLE 214 UK: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
             12.3.3 GERMANY
                       12.3.3.1 Strong infrastructure and skilled labor force to provide ease to AI capabilities
             12.3.4 FRANCE
                       12.3.4.1 High potential client base and a heavy capital inflow from various investors
             12.3.5 ITALY
                       12.3.5.1 Spread of cyber threats across the country to drive AI-based solutions
             12.3.6 SPAIN
                       12.3.6.1 Several initiatives and developments to provide huge potential for AI across various sectors
             12.3.7 REST OF EUROPE
     12.4 ASIA PACIFIC
             12.4.1 ASIA PACIFIC: MARKET DRIVERS
                       FIGURE 45 ASIA PACIFIC: MARKET SNAPSHOT
                       TABLE 215 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING,  2016–2021 (USD BILLION)
                       TABLE 216 ASIA PACIFIC: MARKET, BY OFFERING,  2022–2027 (USD BILLION)
                       TABLE 217 ASIA PACIFIC: MARKET, BY HARDWARE,  2016–2021 (USD BILLION)
                       TABLE 218 ASIA PACIFIC: MARKET, BY HARDWARE,  2022–2027 (USD BILLION)
                       TABLE 219 ASIA PACIFIC: MARKET, BY PROCESSOR,  2016–2021 (USD BILLION)
                       TABLE 220 ASIA PACIFIC: MARKET, BY PROCESSOR,  2022–2027 (USD BILLION)
                       TABLE 221 ASIA PACIFIC: MARKET, BY SOFTWARE,  2016–2021 (USD BILLION)
                       TABLE 222 ASIA PACIFIC: MARKET, BY SOFTWARE,  2022–2027 (USD BILLION)
                       TABLE 223 ASIA PACIFIC: MARKET, BY SERVICE,  2016–2021 (USD BILLION)
                       TABLE 224 ASIA PACIFIC: MARKET, BY SERVICE,  2022–2027 (USD BILLION)
                       TABLE 225 ASIA PACIFIC: MARKET, BY TECHNOLOGY,  2016–2021 (USD BILLION)
                       TABLE 226 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY,  2022–2027 (USD BILLION)
                       TABLE 227 ASIA PACIFIC: MARKET, BY MACHINE LEARNING,  2016–2021 (USD BILLION)
                       TABLE 228 ASIA PACIFIC: MARKET, BY MACHINE LEARNING,  2022–2027 (USD BILLION)
                       TABLE 229 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                       TABLE 230 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
                       TABLE 231 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD BILLION)
                       TABLE 232 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD BILLION)
                       TABLE 233 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION,  2016–2021 (USD BILLION)
                       TABLE 234 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION,  2022–2027 (USD BILLION)
                       TABLE 235 ASIA PACIFIC: MARKET, BY VERTICAL,  2016–2021 (USD BILLION)
                       TABLE 236 ASIA PACIFIC: MARKET, BY VERTICAL,  2022–2027 (USD BILLION)
                       TABLE 237 ASIA PACIFIC: MARKET, BY COUNTRY,  2016–2021 (USD BILLION)
                       TABLE 238 ASIA PACIFIC: MARKET, BY COUNTRY,  2022–2027 (USD BILLION)
             12.4.2 CHINA
                       12.4.2.1 Significant untapped AI opportunities
                                   TABLE 239 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                                   TABLE 240 CHINA: MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
                                   TABLE 241 CHINA: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD BILLION)
                                   TABLE 242 CHINA: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD BILLION)
             12.4.3 JAPAN
                       12.4.3.1 Potential of organic growth capabilities
             12.4.4 SOUTH KOREA
                       12.4.4.1 Need for enhanced AI infrastructure
             12.4.5 INDIA
                       12.4.5.1 Growing number of AI startups and initiatives
             12.4.6 REST OF ASIA PACIFIC
     12.5 MIDDLE EAST AND AFRICA
             12.5.1 MIDDLE EAST AND AFRICA: MARKET DRIVERS
                       TABLE 243 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING,  2016–2021 (USD MILLION)
                       TABLE 244 MIDDLE EAST AND AFRICA: MARKET, BY OFFERING,  2022–2027 (USD MILLION)
                       TABLE 245 MIDDLE EAST AND AFRICA: MARKET, BY HARDWARE,  2016–2021 (USD MILLION)
                       TABLE 246 MIDDLE EAST AND AFRICA: MARKET, BY HARDWARE,  2022–2027 (USD MILLION)
                       TABLE 247 MIDDLE EAST AND AFRICA: MARKET, BY PROCESSOR,  2016–2021 (USD MILLION)
                       TABLE 248 MIDDLE EAST AND AFRICA: MARKET, BY PROCESSOR,  2022–2027 (USD MILLION)
                       TABLE 249 MIDDLE EAST AND AFRICA: MARKET, BY SOFTWARE,  2016–2021 (USD MILLION)
                       TABLE 250 MIDDLE EAST AND AFRICA: MARKET, BY SOFTWARE,  2022–2027 (USD MILLION)
                       TABLE 251 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE,  2016–2021 (USD MILLION)
                       TABLE 252 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                       TABLE 253 MIDDLE EAST AND AFRICA: MARKET, BY TECHNOLOGY,  2016–2021 (USD MILLION)
                       TABLE 254 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY,  2022–2027 (USD MILLION)
                       TABLE 255 MIDDLE EAST AND AFRICA: MARKET, BY MACHINE LEARNING, 2016–2021 (USD MILLION)
                       TABLE 256 MIDDLE EAST AND AFRICA: MARKET, BY MACHINE LEARNING, 2022–2027 (USD MILLION)
                       TABLE 257 MIDDLE EAST AND AFRICA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
                       TABLE 258 MIDDLE EAST AND AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 259 MIDDLE EAST AND AFRICA: MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
                       TABLE 260 MIDDLE EAST AND AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       TABLE 261 MIDDLE EAST AND AFRICA: MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD MILLION)
                       TABLE 262 MIDDLE EAST AND AFRICA: MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD MILLION)
                       TABLE 263 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                       TABLE 264 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                       TABLE 265 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY,  2016–2021 (USD MILLION)
                       TABLE 266 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             12.5.2 SAUDI ARABIA
                       12.5.2.1 Demand for growth of innovative technologies
             12.5.3 UAE
                       12.5.3.1 Large tech giants to offer a potential market for AI technologies
             12.5.4 SOUTH AFRICA
                       12.5.4.1 Initiatives by government to educate and create awareness regarding advanced technologies
             12.5.5 REST OF MIDDLE EAST AND AFRICA
     12.6 CENTRAL AMERICA
             12.6.1 CENTRAL AMERICA: MARKET DRIVERS
                       TABLE 267 CENTRAL AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING,  2016–2021 (USD MILLION)
                       TABLE 268 CENTRAL AMERICA: MARKET, BY OFFERING,  2022–2027 (USD MILLION)
                       TABLE 269 CENTRAL AMERICA: MARKET, BY HARDWARE,  2016–2021 (USD MILLION)
                       TABLE 270 CENTRAL AMERICA: MARKET, BY HARDWARE,  2022–2027 (USD MILLION)
                       TABLE 271 CENTRAL AMERICA: MARKET, BY PROCESSOR,  2016–2021 (USD MILLION)
                       TABLE 272 CENTRAL AMERICA: MARKET, BY PROCESSOR,  2022–2027 (USD MILLION)
                       TABLE 273 CENTRAL AMERICA: MARKET, BY SOFTWARE,  2016–2021 (USD MILLION)
                       TABLE 274 CENTRAL AMERICA: MARKET, BY SOFTWARE,  2022–2027 (USD MILLION)
                       TABLE 275 CENTRAL AMERICA: MARKET, BY SERVICE,  2016–2021 (USD MILLION)
                       TABLE 276 CENTRAL AMERICA: MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                       TABLE 277 CENTRAL AMERICA: MARKET, BY TECHNOLOGY,  2016–2021 (USD MILLION)
                       TABLE 278 CENTRAL AMERICA: MARKET, BY TECHNOLOGY,  2022–2027 (USD MILLION)
                       TABLE 279 CENTRAL AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING,  2016–2021 (USD MILLION)
                       TABLE 280 CENTRAL AMERICA: MARKET, BY MACHINE LEARNING,  2022–2027 (USD MILLION)
                       TABLE 281 CENTRAL AMERICA: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD MILLION)
                       TABLE 282 CENTRAL AMERICA: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                       TABLE 283 CENTRAL AMERICA: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD MILLION)
                       TABLE 284 CENTRAL AMERICA: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                       TABLE 285 CENTRAL AMERICA: MARKET, BY BUSINESS FUNCTION,  2016–2021 (USD MILLION)
                       TABLE 286 CENTRAL AMERICA: MARKET, BY BUSINESS FUNCTION,  2022–2027 (USD MILLION)
                       TABLE 287 CENTRAL AMERICA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                       TABLE 288 CENTRAL AMERICA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                       TABLE 289 CENTRAL AMERICA: MARKET, BY COUNTRY,  2016–2021 (USD MILLION)
                       TABLE 290 CENTRAL AMERICA: MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             12.6.2 COSTA RICA
                       12.6.2.1 Developments by global technology players in Costa Rica
             12.6.3 REST OF CENTRAL AMERICA
     12.7 LATIN AMERICA
             12.7.1 LATIN AMERICA: MARKET DRIVERS
                       TABLE 291 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING,  2016–2021 (USD MILLION)
                       TABLE 292 LATIN AMERICA: MARKET, BY OFFERING,  2022–2027 (USD MILLION)
                       TABLE 293 LATIN AMERICA: MARKET, BY HARDWARE,  2016–2021 (USD MILLION)
                       TABLE 294 LATIN AMERICA: MARKET, BY HARDWARE,  2022–2027 (USD MILLION)
                       TABLE 295 LATIN AMERICA: MARKET, BY PROCESSOR,  2016–2021 (USD MILLION)
                       TABLE 296 LATIN AMERICA: MARKET, BY PROCESSOR,  2022–2027 (USD MILLION)
                       TABLE 297 LATIN AMERICA: MARKET, BY SOFTWARE,  2016–2021 (USD MILLION)
                       TABLE 298 LATIN AMERICA: MARKET, BY SOFTWARE,  2022–2027 (USD MILLION)
                       TABLE 299 LATIN AMERICA: MARKET, BY SERVICE,  2016–2021 (USD MILLION)
                       TABLE 300 LATIN AMERICA: MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                       TABLE 301 LATIN AMERICA: MARKET, BY TECHNOLOGY,  2016–2021 (USD MILLION)
                       TABLE 302 LATIN AMERICA: MARKET, BY TECHNOLOGY,  2022–2027 (USD MILLION)
                       TABLE 303 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING,  2016–2021 (USD MILLION)
                       TABLE 304 LATIN AMERICA: MARKET, BY MACHINE LEARNING,  2022–2027 (USD MILLION)
                       TABLE 305 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD MILLION)
                       TABLE 306 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                       TABLE 307 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD MILLION)
                       TABLE 308 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                       TABLE 309 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION,  2016–2021 (USD MILLION)
                       TABLE 310 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION,  2022–2027 (USD MILLION)
                       TABLE 311 LATIN AMERICA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                       TABLE 312 LATIN AMERICA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                       TABLE 313 LATIN AMERICA: MARKET, BY COUNTRY,  2016–2021 (USD MILLION)
                       TABLE 314 LATIN AMERICA: MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             12.7.2 BRAZIL
                       12.7.2.1 Trade ties between US and Brazil to shape AI technological landscape
             12.7.3 MEXICO
                       12.7.3.1 Assistance by government to adopt emerging AI technologies
             12.7.4 REST OF LATIN AMERICA

13 COMPETITIVE LANDSCAPE (Page No. - 280)
     13.1 OVERVIEW
     13.2 KEY PLAYER STRATEGIES
               TABLE 315 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN AI MARKET
     13.3 REVENUE ANALYSIS
               FIGURE 46 REVENUE ANALYSIS FOR KEY COMPANIES, 2018–2021
     13.4 MARKET SHARE ANALYSIS
               FIGURE 47 ARTIFICIAL INTELLIGENCE MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2022
               TABLE 316 MARKET: DEGREE OF COMPETITION
     13.5 KEY COMPANY EVALUATION QUADRANT
             13.5.1 STARS
             13.5.2 EMERGING LEADERS
             13.5.3 PERVASIVE PLAYERS
             13.5.4 PARTICIPANTS
                       FIGURE 48 KEY MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2022
     13.6 STARTUP/SME EVALUATION MATRIX
             13.6.1 PROGRESSIVE COMPANIES
             13.6.2 RESPONSIVE COMPANIES
             13.6.3 DYNAMIC COMPANIES
             13.6.4 STARTING BLOCKS
                       FIGURE 49 STARTUP/SME ARTIFICIAL INTELLIGENCE PLAYERS, COMPANY EVALUATION MATRIX, 2022
     13.7 COMPETITIVE BENCHMARKING
               TABLE 317 ARTIFICIAL INTELLIGENCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
               TABLE 318 MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES)
     13.8 COMPETITIVE SCENARIO
             13.8.1 PRODUCT LAUNCHES
                       TABLE 319 PRODUCT LAUNCHES, 2018–2022
             13.8.2 DEALS
                       TABLE 320 DEALS, 2018–2022
             13.8.3 OTHERS
                       TABLE 321 OTHERS, 2019–2020

14 COMPANY PROFILES (Page No. - 290)
     14.1 INTRODUCTION
     14.2 MAJOR PLAYERS
(Business overview, Products/Solutions/Services offered, Recent developments, COVID-19-related developments, MnM view, Right to win, Strategic choices, and Weaknesses and competitive threats)*
             14.2.1 GOOGLE
                       TABLE 322 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 50 GOOGLE: COMPANY SNAPSHOT
                       TABLE 323 GOOGLE: PRODUCTS OFFERED
                       TABLE 324 GOOGLE: SERVICES OFFERED
                       TABLE 325 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 326 GOOGLE: DEALS
             14.2.2 MICROSOFT
                       TABLE 327 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 51 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 328 MICROSOFT: PRODUCTS OFFERED
                       TABLE 329 MICROSOFT: SERVICES OFFERED
                       TABLE 330 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 331 MICROSOFT: DEALS
             14.2.3 IBM
                       TABLE 332 IBM: BUSINESS OVERVIEW
                       FIGURE 52 IBM: COMPANY SNAPSHOT
                       TABLE 333 IBM: PRODUCTS OFFERED
                       TABLE 334 IBM: SERVICES OFFERED
                       TABLE 335 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 336 IBM: DEALS
             14.2.4 INTEL
                       TABLE 337 INTEL: BUSINESS OVERVIEW
                       FIGURE 53 INTEL: COMPANY SNAPSHOT
                       TABLE 338 INTEL: PRODUCTS OFFERED
                       TABLE 339 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 340 INTEL: DEALS
             14.2.5 ORACLE
                       TABLE 341 ORACLE: BUSINESS OVERVIEW
                       FIGURE 54 ORACLE: COMPANY SNAPSHOT
                       TABLE 342 ORACLE: PRODUCTS OFFERED
                       TABLE 343 ORACLE: SERVICES OFFERED
                       TABLE 344 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 345 ORACLE: DEALS
             14.2.6 AWS
                       TABLE 346 AWS: BUSINESS OVERVIEW
                       FIGURE 55 AWS: COMPANY SNAPSHOT
                       TABLE 347 AWS: PRODUCTS OFFERED
                       TABLE 348 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 349 AWS: DEALS
             14.2.7 SALESFORCE
                       TABLE 350 SALESFORCE: BUSINESS OVERVIEW
                       FIGURE 56 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 351 SALESFORCE: PRODUCTS OFFERED
                       TABLE 352 SALESFORCE: SERVICES OFFERED
                       TABLE 353 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 354 SALESFORCE: DEALS
             14.2.8 SAP
                       TABLE 355 SAP: BUSINESS OVERVIEW
                       FIGURE 57 SAP: COMPANY SNAPSHOT
                       TABLE 356 SAP: PRODUCTS OFFERED
                       TABLE 357 SAP: SERVICES OFFERED
                       TABLE 358 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 359 SAP: DEALS
             14.2.9 SAS INSTITUTE
                       TABLE 360 SAS INSTITUTE: BUSINESS OVERVIEW
                       FIGURE 58 SAS INSTITUTE: COMPANY SNAPSHOT
                       TABLE 361 SAS INSTITUTE: PRODUCTS OFFERED
                       TABLE 362 SAS INSTITUTE: SERVICES OFFERED
                       TABLE 363 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 364 SAS INSTITUTE: DEALS
             14.2.10 CISCO
                       TABLE 365 CISCO: BUSINESS OVERVIEW
                       FIGURE 59 CISCO: COMPANY SNAPSHOT
                       TABLE 366 CISCO: PRODUCTS OFFERED
                       TABLE 367 CISCO: SERVICES OFFERED
                       TABLE 368 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 369 CISCO: DEALS
             14.2.11 META
                       TABLE 370 META: BUSINESS OVERVIEW
                       FIGURE 60 META: COMPANY SNAPSHOT
                       TABLE 371 META: PRODUCTS OFFERED
                       TABLE 372 META: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 373 META: DEALS
             14.2.12 HPE
                       TABLE 374 HPE: BUSINESS OVERVIEW
                       FIGURE 61 HPE: COMPANY SNAPSHOT
                       TABLE 375 HPE: PRODUCTS OFFERED
                       TABLE 376 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 377 HPE: DEALS
             14.2.13 SIEMENS
                       TABLE 378 SIEMENS: BUSINESS OVERVIEW
                       FIGURE 62 SIEMENS: COMPANY SNAPSHOT
                       TABLE 379 SIEMENS: PRODUCTS OFFERED
                       TABLE 380 SIEMENS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 381 SIEMENS: DEALS
             14.2.14 HUAWEI
                       TABLE 382 HUAWEI: BUSINESS OVERVIEW
                       FIGURE 63 HUAWEI: COMPANY SNAPSHOT
                       TABLE 383 HUAWEI: PRODUCTS OFFERED
                       TABLE 384 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 385 HUAWEI: DEALS
             14.2.15 NVIDIA
                       TABLE 386 NVIDIA: BUSINESS OVERVIEW
                       FIGURE 64 NVIDIA: COMPANY SNAPSHOT
                       TABLE 387 NVIDIA: PRODUCTS OFFERED
                       TABLE 388 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 389 NVIDIA: DEALS
             14.2.16 BAIDU
                       TABLE 390 BAIDU: BUSINESS OVERVIEW
                       FIGURE 65 BAIDU: COMPANY SNAPSHOT
                       TABLE 391 BAIDU: PRODUCTS OFFERED
                       TABLE 392 BAIDU: SERVICES OFFERED
                       TABLE 393 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 394 BAIDU: DEALS
             14.2.17 SAMSUNG
                       TABLE 395 SAMSUNG: BUSINESS OVERVIEW
                       TABLE 396 SAMSUNG: PRODUCTS OFFERED
                       TABLE 397 SAMSUNG: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 398 SAMSUNG: DEALS
             14.2.18 IFLYTEK
                       TABLE 399 IFLYTEK: BUSINESS OVERVIEW
                       TABLE 400 IFLYTEK: PRODUCTS OFFERED
                       TABLE 401 IFLYTEK: SERVICES OFFERED
                       TABLE 402 IFLYTEK: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 403 IFLYTEK: DEALS
             14.2.19 ALIBABA CLOUD
                       TABLE 404 ALIBABA: BUSINESS OVERVIEW
                       TABLE 405 ALIBABA CLOUD: PRODUCTS OFFERED
                       TABLE 406 ALIBABA CLOUD: SERVICES OFFERED
                       TABLE 407 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 408 ALIBABA CLOUD: DEALS
             14.2.20 GENERAL VISION
             14.2.21 DARKTRACE
             14.2.22 BLACKBERRY LIMITED
             14.2.23 DIDI CHUXING
             14.2.24 FACE++
             14.2.25 INBENTA
             14.2.26 ANJU SOFTWARE
             14.2.27 BUTTERFLY NETWORK
             14.2.28 ATOMWISE
             14.2.29 INTRINSIC
             14.2.30 AIBRAIN
             14.2.31 ADAPTEVA
             14.2.32 KONIKU
             14.2.33 KNUEDGE
             14.2.34 SK HYNIX
             14.2.35 PROGRESS DATARPM
             14.2.36 PRECISION HAWK
             14.2.37 AGEAGLE AERIAL SYSTEM
             14.2.38 NEURALA
             14.2.39 TWITTER
             14.2.40 AUREA SOFTWARE
             14.2.41 PERSADO
             14.2.42 8X8
             14.2.43 APPIER
             14.2.44 GUMGUM
             14.2.45 IPRO
     14.3 OTHER PLAYERS/SMES
             14.3.1 GRAPHCORE
             14.3.2 PREFERRED NETWORKS
             14.3.3 ZENSED
             14.3.4 APPLIED BRAIN RESEARCH
             14.3.5 PILOT AI LABS
             14.3.6 IRIS AUTOMATION
             14.3.7 GAMAYA
             14.3.8 EC2CE
             14.3.9 DESCARTES LABS
             14.3.10 MYTHIC

*Details on Business overview, Products/Solutions/Services offered, Recent developments, COVID-19-related developments, MnM view, Right to win, Strategic choices, and Weaknesses and competitive threats might not be captured in case of unlisted companies.

15 ADJACENT AND RELATED MARKETS (Page No. - 404)
     15.1 INTRODUCTION
     15.2 NATURAL LANGUAGE PROCESSING MARKET—GLOBAL FORECAST TO 2026
             15.2.1 MARKET DEFINITION
             15.2.2 MARKET OVERVIEW
                       15.2.2.1 Natural language processing market, by component
                                   TABLE 409 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT,  2015–2019 (USD MILLION)
                                   TABLE 410 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT,  2019–2026 (USD MILLION)
                       15.2.2.2 Natural language processing market, by solution type
                                   TABLE 411 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE,  2015–2019 (USD MILLION)
                                   TABLE 412 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE,  2019–2026 (USD MILLION)
                       15.2.2.3 Natural language processing market, by deployment mode
                                   TABLE 413 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE,  2015–2019 (USD MILLION)
                                   TABLE 414 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE,  2019–2026 (USD MILLION)
                       15.2.2.4 Natural language processing market, by organization size
                                   TABLE 415 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE,  2015–2019 (USD MILLION)
                                   TABLE 416 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE,  2019–2026 (USD MILLION)
                       15.2.2.5 Natural language processing market, by type
                                   TABLE 417 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2015–2019 (USD MILLION)
                                   TABLE 418 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2019–2026 (USD MILLION)
                       15.2.2.6 Natural language processing market, by application
                                   TABLE 419 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION,  2015–2019 (USD MILLION)
                                   TABLE 420 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION,  2019–2026 (USD MILLION)
                       15.2.2.7 Natural language processing market, by vertical
                                   TABLE 421 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2015–2019 (USD MILLION)
                                   TABLE 422 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2019–2026 (USD MILLION)
                       15.2.2.8 Natural language processing market, by region
                                   TABLE 423 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2015–2019 (USD MILLION)
                                   TABLE 424 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2019–2026 (USD MILLION)
                                   TABLE 425 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY,  2015–2019 (USD MILLION)
                                   TABLE 426 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY,  2019–2026 (USD MILLION)
                                   TABLE 427 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY,  2015–2019 (USD MILLION)
                                   TABLE 428 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY,  2019–2026 (USD MILLION)
                                   TABLE 429 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY,  2015–2019 (USD MILLION)
                                   TABLE 430 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY,  2019–2026 (USD MILLION)
                                   TABLE 431 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2015–2019 (USD MILLION)
                                   TABLE 432 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2019–2026 (USD MILLION)
                                   TABLE 433 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY,  2015–2019 (USD MILLION)
                                   TABLE 434 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY,  2019–2026 (USD MILLION)
     15.3 CONVERSATIONAL AI MARKET—GLOBAL FORECAST TO 2025
             15.3.1 MARKET DEFINITION
             15.3.2 MARKET OVERVIEW
                       15.3.2.1 Conversational AI market, by component
                                   TABLE 435 CONVERSATIONAL AI MARKET, BY COMPONENT, 2019–2025 (USD MILLION)
                                   TABLE 436 CONVERSATIONAL AI MARKET, BY SERVICE, 2019–2025 (USD MILLION)
                       15.3.2.2 Conversational AI market, by type
                                   TABLE 437 CONVERSATIONAL AI MARKET, BY TYPE, 2019–2025 (USD MILLION)
                       15.3.2.3 Conversational AI market, by technology
                                   TABLE 438 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2019–2025 (USD MILLION)
                       15.3.2.4 Conversational AI market, by deployment mode
                                   TABLE 439 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
                       15.3.2.5 Conversational AI market, by application
                                   TABLE 440 CONVERSATIONAL AI MARKET, BY APPLICATION, 2019–2025 (USD MILLION)
                       15.3.2.6 Conversational AI market, by vertical
                                   TABLE 441 CONVERSATIONAL AI MARKET, BY VERTICAL, 2019–2025 (USD MILLION)
                       15.3.2.7 Conversational AI market, by region
                                   TABLE 442 CONVERSATIONAL AI MARKET, BY REGION, 2019–2025 (USD MILLION)
                                   TABLE 443 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY COUNTRY,  2019–2025 (USD MILLION)
                                   TABLE 444 EUROPE: CONVERSATIONAL AI MARKET, BY COUNTRY, 2019–2025 (USD MILLION)
                                   TABLE 445 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY COUNTRY, 2019–2025 (USD MILLION)
                                   TABLE 446 MIDDLE EAST AND AFRICA: CONVERSATIONAL AI MARKET, BY COUNTRY,  2019–2025 (USD MILLION)
                                   TABLE 447 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY COUNTRY,  2019–2025 (USD MILLION)

16 APPENDIX (Page No. - 421)
     16.1 DISCUSSION GUIDE
     16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’  SUBSCRIPTION PORTAL
     16.3 CUSTOMIZATIONS OFFERED
     16.4 RELATED REPORTS
     16.5 AUTHOR DETAILS

The research study for the AI market involved the use of extensive secondary sources; directories; and several journals, including AI and its Role in Near Future, Journal of AI Research, and A Brief History of AI - SAGE Journals; and publications such as AI & SOCIETY, Annals of Mathematics and AI. 0.778 Impact Factor 2019, AI and Law, and Autonomous Agents and Multi-Agent Systems; to identify and collect information useful for this comprehensive market research study. Primary sources were mainly industry experts from the core and related industries, preferred AI providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects

Secondary Research

The market size of companies offering AI solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as Data Science Journal, Institute of Electrical and Electronics Engineers (IEEE) Journals and magazines, and Journal/forums for ML, AI India magazine, Customer Experience magazine, and other magazines. The AI spending of various countries was extracted from respective sources. Secondary research was mainly used to obtain key information about the industry’s value chain and supply chain to identify key players based on solutions, services, and market classification and segmentation according to offerings of major players; industry trends related to solutions, services, deployment modes, applications, verticals, and regions; and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from AI solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various technology trends, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end-users using AI solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of AI solutions and services, which would impact the overall AI market.

The following is the breakup of primary profiles:

Artificial Intelligence Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the market engineering process, the top-down and bottom-up approaches were used along with multiple data triangulation methods to estimate and validate the size of the Artificial Intelligence market and other dependent submarkets. Key market players were identified through secondary research, and their market share in the targeted regions was determined with the help of primary and secondary research. This research methodology included the study of annual and financial presentations of the top market players and interviews with experts for key insights (quantitative and qualitative).

The percentage share, splits, and breakdowns were determined using secondary sources and verified through primary research. All the possible parameters that affect the Artificial Intelligence market were verified in detail with the help of primary sources and analyzed to obtain quantitative and qualitative data. This data was supplemented with detailed inputs and analysis from MarketsandMarkets and presented in the report.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency USD remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.
  • Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on artificial intelligence based on some of the key use cases. These factors for the artificial intelligence industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and predict the AI market by offering (hardware, software, and services), technology, organization size, deployment mode, business function, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the Artificial Intelligence (AI) market
  • To analyze the impact of the COVID-19 pandemic on the AI market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic analysis

  • Further breakup of the North American AI market
  • Further breakup of the European AI market
  • Further breakup of the Asia Pacific AI market
  • Further breakup of the Latin American AI market
  • Further breakup of the Middle Eastern and African AI market
  • Further breakup of the Central American AI market

Company information

  • Detailed analysis and profiling of additional market players up to 5
Artificial Intelligence Market Size,  Share & Growth Report
Report Code
TC 7894
Published ON
Aug, 2022
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