인공지능(Artificial Intelligence) 시장 : 2027년까지의 세계 예측

출판 : MarketsandMarkets(마켓츠앤마켓츠)출판년월 : 2022년08월

인공지능(Artificial Intelligence) 시장 : 오퍼링(하드웨어, 소프트웨어, 서비스), 기술(기계 학습, 자연 언어 처리), 배포 모드, 조직 규모, 비즈니스 기능(법률, 보안), 수직, 지역별 – 2027년까지의 세계 예측
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

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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. Faster speech recognition and natural language processing are some instances of how technological developments in the AI sector are helping the businesses. In the upcoming years, it is anticipated that such developments in artificial intelligence technology would help the sector grow.
인공 지능 시장 규모는 예측 기간 동안 36.2%의 연평균 복합 성장률(CAGR)로 2022년 869억 달러에서 2027년 4,070억 달러로 성장할 것입니다. 더 빠른 음성 인식 및 자연어 처리는 AI 부문의 기술 발전이 비즈니스에 어떻게 도움이 되는지 보여주는 몇 가지 예입니다. 향후 몇 년 동안 인공 지능 기술의 이러한 발전은 이 분야의 성장에 도움이 될 것으로 예상됩니다.

인공 지능 시장

Business innovators and executives are racing to achieve AI’s promise of cost and time savings as well as a competitive advantage. Faster and more precise consumer behaviour data analysis empowers companies to plan their future marketing strategies and campaigns, fueling the expansion of the AI market. Data management is assisted by AI in understanding which of their methods are inefficient and which are all the most effective. Additionally, it ensures that data reaches the intended user without being tampered by cybercriminals using man-in-the-middle, ransomware, or other forms of cyberattack.
The major market players such as include IBM, Microsoft, AWS, Intel, Google, Oracle and Salesforce have adopted numerous growth strategies, which include acquisitions, new product launches, product enhancements, and business expansions, to enhance their market shares.
Based on deployment mode, cloud deployment mode to register for the largest market size during the forecast period
Based on the deployment mode, the artificial intelligence market is segmented into on-premises and cloud deployment mode. The market size of the cloud deployment mode segment is estimated to be the largest during the forecast period. Scalability, speed, and IT security are all benefits of the cloud deployment approach. Data-driven innovation benefits greatly from the combination of AI and Cloud computing. The popularity of the cloud deployment mode is facilitated by the cognitive powers of AI and machine learning, which thrive on massive volumes of data that are scalable and easily available in a cloud environment.

The Law segment to account for the highest CAGR during the forecast period
Based on business function, the artificial intelligence market is segmented into Finance, Security, Human Resources, Law, Marketing and Sales and other business functions. The Law segment is expected grow at a higher CAGR during the forecast period. Large and small legal firms both are using AI technologies in growing numbers. Artificial intelligence technology, in particular Machine Learning and Natural Language Processing, are being used to boost efficiency, expand profit margins, and offer creative and effective legal counsel. The market for AI is expanding as a result of rising litigation and rising demand to cut operational expenses.
Asia Pacific to hold highest CAGR during the forecast period
The Asia Pacific artificial intelligence market is expected to grow at the highest CAGR of 40.8% from 2022 to 2027. In countries such as China, India, Japan, and others, the use of AI services in end user industries like manufacturing, healthcare, retail, and e-commerce can be responsible for this increase. In this region, the adoption of new and emerging technologies has gained momentum in recent years. The storage, processing, and data availability of computing systems have all risen, as well as their overall capacity. A new generation of more autonomous AI systems has been made possible by the convergence of complementary technologies, which has increased the demand for automating operations as a result of ongoing improvements in hardware and software.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the artificial intelligence market.
 By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
 By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Managers: 40%
 By Region: APAC: 25%, Europe: 30%, North America: 30%, MEA: 10%, Latin America: 5%
The report includes the study of key players offering artificial intelligence. It profiles major vendors in the artificial intelligence 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).

인공지능(Artificial Intelligence) 시장 : 오퍼링(하드웨어, 소프트웨어, 서비스), 기술(기계 학습, 자연 언어 처리), 배포 모드, 조직 규모, 비즈니스 기능(법률, 보안), 수직, 지역별 - 2027년까지의 세계 예측
Research Coverage
The market study covers the artificial intelligence market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as offering, technology, organization size, deployment mode, business function, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall artificial intelligence market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.


목차

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


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