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
[441 Pages Report] The global Artificial Intelligence Market is projected to grow at a CAGR of 36.2% during the forecast period to reach USD 407.0 billion by 2027. Growth of data-based AI and advancement in deep learning and need to achieve robotic autonomy to stay competitive in global market 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.
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Artificial Intelligence (AI) Market Growth Dynamics
Driver: Growth of data-based AI and advancement in deep learning
In artificial intelligence market, the critical development in AI is the speed at which rule-based AI is being replaced with data-based AI. Machines have started learning and implementing processes independently instead of applying if/then rules. For instance, Amazon Go (Amazon’s retail store) is not using AI to remove the role of the cashier but is designing a new retail experience that is data and information-driven. Thus, instead of simply putting a layer of AI on top of existing processes, Amazon Go is changing the average grocery-shopping exercise into an experience-driven activity that is all about data, understanding people, behavior, and design layout.
Restraint: Limited number of AI experts
In the artificial intelligence market, AI is a complex system. Thus, companies require a workforce with certain skill sets to develop, manage, and implement AI systems. The workforce dealing with AI systems should be aware of technologies such as cognitive computing, ML and machine intelligence, deep learning, and image recognition. Integrating AI solutions with the existing systems is a difficult task and requires extensive data processing to replicate the behavior of a human brain. Even minor errors can result in system failure or malfunctioning of a certain solution, drastically affecting outcomes and desired results.
Opportunity: Growth in ethical AI development to boost adoption of AI technology
The AI governance framework and guidelines are established to build ethical AI and reduce discrimination biases around ML algorithms to increase trust among AI users. In artificial intelligence market, solution providers incorporate the basic principles of explainable AI. These principles include fairness, accountability, transparency, safety, and data privacy. They help gain users’ trust. Many initiatives are undertaken by leading AI solution providers, governments, and regulatory authorities to tackle ethical questions around AI and ML technologies. For instance, the Australian government has introduced an ethics AI framework to harness the potential of AI for economic, social, and environmental benefits and enhance AI trust among its users. Similarly, the Singaporean government has also released a framework for ethical AI to help organizations build ethical AI models. The European Commission has established a framework showing steps to maintain ethics in AI and enhance trust among its users.
Challenge: Data security and privacy concerns
Security threats are expected to grow further in the future. In the last four years, the financial impact of cybercrimes has increased by nearly 78%, and the time it takes to resolve cyberattacks has doubled. The increase in data from various sources is cumbersome for several IT teams. The inefficiency of managing exabytes and petabytes of data has increased the chances of security breaches and data losses. In today’s competitive marketplace, marketing teams require real-time and secure data to deliver an outstanding customer experience. Organizations are gathering data through multiple touchpoints and virtually measuring it. The data used in support and communication may include various data types. These data types include public information, big data, and small data collected from customers.
The cloud segment is expected to grow at the highest CAGR during the forecast period
Based on deployment mode, the artificial intelligence market is segmented into On-premises and Cloud. The cloud deployment mode provides multiple benefits, such as reduced operational costs, hassle-free deployment, and high scalability. Cloud deployment for Natural Language Processing and Machine Learning tools in AI is expected to grow with the increasing awareness related to the benefits of cloud-based solutions. AI solution providers focus on developing robust cloud-based solutions for their clients, as several organizations have migrated to private or public cloud. Cloud provides additional flexibility for business operations and real-time deployment ease to companies implementing real-time analytics. Major vendors offering cloud-based AI platforms include IBM, Microsoft, Amazon, and Google.
The software segment to account for the largest market size during the forecast period
The segmentation of the artificial intelligence market by offering includes software, hardware and services. In recent years, most developments have been witnessed in AI software and related software development kits. The software integrated into computer systems carries out complex operations. It synthesizes the data received from the hardware systems and processes it in an AI system to generate an intelligent response. Today, AI software is used in various applications, such as smartphone assistants, ATMs that read checks, voice and image recognition software on social networks, and software that serves ads on various websites.
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.
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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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Report Metrics |
Details |
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Market size value in 2022 |
US $86.9 Billion |
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Market size value in 2027 |
US $407.0 Billion |
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Growth Rate (CAGR) |
CAGR of 36.2% from 2022 to 2027 |
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Largest Market |
North America |
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Market size available for years |
2016–2027 |
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Base year considered |
2022 |
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Forecast period |
2022–2027 |
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Forecast units |
USD (Million/Billion) |
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Segments covered |
Offering, Technology, Organization Size, Deployment Mode, Business Function, Verticals, and Region |
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Geographies covered |
North America, Europe, Asia Pacific, Middle East & Africa, Central America, and Latin America |
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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.
Market by Offering:
- Hardware
- Software
- Services
Market by Technology:
- Machine Learning
- Natural Language Processing
- Context-Aware Computing
- Computer Vision
Market by Organization Size:
- Large Enterprises
- SMEs
Market by Deployment Mode:
- On-premises
- Cloud
Market by Business Function:
- Finance
- Security
- Human Resources
- Law
- Marketing and Sales
- Other Business Function (IT operations)
Market 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)
Market 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 Artificial Intelligence (AI) Market:
- In June 2022, Salesforce and AT&T collaborated on a connected climate initiative to reduce global emissions by 2035. This collaboration enables AT&T to use Salesforce net zero cloud to measure carbon footprints.
- In May 2022, Google announced that it had signed an agreement with the Dutch government to enable its public sector to take advantage of the Google workspace suite of tools and offerings. This agreement offers the Dutch government more flexibility and productivity, supporting a new hybrid working environment.
- In December 2021, AWS announced the release of AWS Cloud WAN, which helps businesses to create, administer, and keep an eye on a single global network that connects cloud and on-premises settings quickly and easily. Businesses may instantly connect their on-premises branch offices, data centers, and Amazon Virtual Private Clouds to the AWS global network using the unified dashboard provided by AWS Cloud WAN.
- In April 2021, Intel collaborated with Microsoft to gain full visibility to identify threats, such as crypto jacking, and remediate the attacks before the client’s PC gets affected.
- In October 2020, Microsoft released a new AI system to enable image captioning and recognition abilities, which would help enterprises boost their products and services in the market.
- In April 2020, IBM released novel AI-powered technologies to help the health and research community increase the discovery of medical insights and treatments for COVID-19. The dashboard offers the public, researchers, and government officials detailed, localized, and current information on COVID-19.
Frequently Asked Questions (FAQ):
What is Artificial Intelligence (AI)?
According to IBM, AI refers to the ability of a computer or machine to mimic the capabilities of the human mind learning from examples and experience, recognizing objects, understanding and responding to language, making decisions, solving problems, and combining these and other capabilities to perform functions a human might perform, such as greeting a hotel guest or driving a car.
Which countries are considered in the European region?
The report includes an analysis of the UK, Germany, Italy, Spain and France in the European region.
Which are the key deployment types adopting artificial intelligence?
The key deployment types adopting artificial intelligence are cloud and on-premises.
Which are the key drivers supporting the growth of the artificial intelligence market?
The key drivers supporting the growth of the artificial intelligence market include faster deployment, cost savings, flexible licensing models, reduced maintenance costs, and continuous upgradation of software features. This are a few significant factors driving the adoption of the AI market.
Who are the key vendors in the artificial intelligence market?
The key 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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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 43)
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. - 48)
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. - 61)
TABLE 4 GLOBAL AI ARTIFICIAL INTELLIGENCE 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. - 66)
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. - 69)
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 ARTIFICIAL INTELLIGENCE 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 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 (CCPA)
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
(Page No. - )
6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING (Page No. - 103)
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 PROGRAMMING INTERFACE TO GROW HIGHER CAGR DURING FORECAST PERIOD
TABLE 44 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 PROGRAMMING INTERFACE
TABLE 48 APPLICATION PROGRAMMING INTERFACE: MARKET, BY REGION, 2016–2021 (USD BILLION)
TABLE 49 APPLICATION PROGRAMMING 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: ARTIFICIAL INTELLIGENCE 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 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: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION)
7 MARKET, BY TECHNOLOGY (Page No. - 124)
7.1 INTRODUCTION
7.1.1 TECHNOLOGY: ARTIFICIAL INTELLIGENCE 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: 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: ARTIFICIAL INTELLIGENCE 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: 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: ARTIFICIAL INTELLIGENCE 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. - 137)
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. - 142)
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. - 147)
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: ARTIFICIAL INTELLIGENCE 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: 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: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
TABLE 105 MARKETING AND SALES: 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 MARKET, BY VERTICAL (Page No. - 163)
11.1 INTRODUCTION
11.1.1 VERTICAL: ARTIFICIAL INTELLIGENCE 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: 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: 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: ARTIFICIAL INTELLIGENCE 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 BILLION)
TABLE 134 HEALTHCARE AND LIFESCIENCES: MARKET, BY APPLICATION, 2022–2027 (USD BILLION)
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
11.7.4 OTHER APPLICATIONS
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 TELECOMMUNICATIONS: MARKET, BY APPLICATION, 2016–2021 (USD BILLION)
TABLE 149 TELECOMMUNICATIONS: MARKET, BY APPLICATION, 2022–2027 (USD BILLION)
11.9.2 NETWORK OPTIMIZATION
11.9.3 NETWORK ANOMALIES
11.9.4 OTHER APPLICATIONS
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: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION)
TABLE 156 OTHER VERTICALS: MARKET, BY REGION, 2022–2027 (USD MILLION)
12 MARKET, BY REGION (Page No. - 200)
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: ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT
TABLE 159 NORTH AMERICA: 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: MARKET, BY MACHINE LEARNING, 2016–2021 (USD BILLION)
TABLE 172 NORTH AMERICA: MARKET, BY MACHINE LEARNING, 2022–2027 (USD BILLION)
TABLE 173 NORTH AMERICA: ARTIFICIAL INTELLIGENCE 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, BFSI BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 182 NORTH AMERICA: MARKET, BFSI BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 183 NORTH AMERICA: MARKET, IT/ITES BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 184 NORTH AMERICA: MARKET, IT/ITES BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 185 NORTH AMERICA: MARKET, TELECOMMUNICATIONS BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 186 NORTH AMERICA: MARKET, TELECOMMUNICATIONS BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 187 NORTH AMERICA: MARKET, RETAIL AND ECOMMERCE BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 188 NORTH AMERICA: MARKET, RETAIL AND ECOMMERCE BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 189 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, HEALTHCARE AND LIFE SCIENCES BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 190 NORTH AMERICA: MARKET, HEALTHCARE AND LIFE SCIENCES BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 191 NORTH AMERICA: MARKET, AUTOMOTIVE BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 192 NORTH AMERICA: MARKET, AUTOMOTIVE BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 193 NORTH AMERICA: MARKET, GOVERNMENT AND DEFENSE BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 194 NORTH AMERICA: MARKET, GOVERNMENT AND DEFENSE BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 195 NORTH AMERICA: MARKET, MANUFACTURING BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 196 NORTH AMERICA: MARKET, MANUFACTURING BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 197 NORTH AMERICA: MARKET, ENERGY AND UTILITIES BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 198 NORTH AMERICA: MARKET, ENERGY AND UTILITIES BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 199 NORTH AMERICA: MARKET, BY COUNTRY, 2016–2021 (USD BILLION)
TABLE 200 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 201 US: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
TABLE 202 US: MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
TABLE 203 US: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
TABLE 204 US: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
TABLE 205 US: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 206 US: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
12.2.3 CANADA
12.2.3.1 Rapid investments in R&D to adopt advanced technologies
TABLE 207 CANADA: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 208 CANADA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
12.3 EUROPE
12.3.1 EUROPE: MARKET DRIVERS
TABLE 209 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)
TABLE 210 EUROPE: MARKET, BY OFFERING, 2022–2027 (USD BILLION)
TABLE 211 EUROPE: MARKET, BY HARDWARE, 2016–2021 (USD BILLION)
TABLE 212 EUROPE: MARKET, BY HARDWARE, 2022–2027 (USD BILLION)
TABLE 213 EUROPE: MARKET, BY PROCESSOR, 2016–2021 (USD BILLION)
TABLE 214 EUROPE: MARKET, BY PROCESSOR, 2022–2027 (USD BILLION)
TABLE 215 EUROPE: MARKET, BY SOFTWARE, 2016–2021 (USD BILLION)
TABLE 216 EUROPE: MARKET, BY SOFTWARE, 2022–2027 (USD BILLION)
TABLE 217 EUROPE: MARKET, BY SERVICE, 2016–2021 (USD BILLION)
TABLE 218 EUROPE: MARKET, BY SERVICE, 2022–2027 (USD BILLION)
TABLE 219 EUROPE: MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
TABLE 220 EUROPE: MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
TABLE 221 EUROPE: MARKET, BY MACHINE LEARNING, 2016–2021 (USD BILLION)
TABLE 222 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2022–2027 (USD BILLION)
TABLE 223 EUROPE: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
TABLE 224 EUROPE: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
TABLE 225 EUROPE: MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD BILLION)
TABLE 226 EUROPE: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION)
TABLE 227 EUROPE: MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
TABLE 228 EUROPE: MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
TABLE 229 EUROPE: MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
TABLE 230 EUROPE: MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
TABLE 231 EUROPE: MARKET, BFSI BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 232 EUROPE: MARKET, BFSI BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 233 EUROPE: MARKET, IT/ITES BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 234 EUROPE: MARKET, IT/ITES BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 235 EUROPE: MARKET, TELECOMMUNICATIONS BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 236 EUROPE: MARKET, TELECOMMUNICATIONS BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 237 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, RETAIL AND ECOMMERCE BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 238 EUROPE: MARKET, RETAIL AND ECOMMERCE BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 239 EUROPE: MARKET, HEALTHCARE AND LIFE SCIENCES BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 240 EUROPE: MARKET, HEALTHCARE AND LIFE SCIENCES BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 241 EUROPE: MARKET, AUTOMOTIVE BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 242 EUROPE: MARKET, AUTOMOTIVE BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 243 EUROPE: MARKET, GOVERNMENT AND DEFENSE BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 244 EUROPE: MARKET, GOVERNMENT AND DEFENSE BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 245 EUROPE: MARKET, MANUFACTURING BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 246 EUROPE: MARKET, MANUFACTURING BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 247 EUROPE: MARKET, ENERGY AND UTILITIES BY APPLICATION, 2016–2021 (USD MILLION)
TABLE 248 EUROPE: MARKET, ENERGY AND UTILITIES BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 249 EUROPE: MARKET, BY COUNTRY, 2016–2021 (USD BILLION)
TABLE 250 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 251 UK: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
TABLE 252 UK: MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
TABLE 253 UK: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
TABLE 254 UK: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
TABLE 255 UK: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 256 UK: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
12.3.3 GERMANY
12.3.3.1 Strong infrastructure and skilled labor force to provide ease to AI capabilities
TABLE 257 GERMANY: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 258 GERMANY: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
12.3.4 FRANCE
12.3.4.1 High potential client base and a heavy capital inflow from various investors
TABLE 259 FRANCE: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 260 FRANCE: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
12.3.5 ITALY
12.3.5.1 Spread of cyber threats across the country to drive AI-based solutions
TABLE 261 ITALY: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 262 ITALY: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
12.3.6 SPAIN
12.3.6.1 Several initiatives and developments to provide huge potential for AI across various sectors
TABLE 263 SPAIN: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 264 SPAIN: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
12.3.7 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 ASIA PACIFIC: MARKET DRIVERS
FIGURE 45 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT
TABLE 265 ASIA PACIFIC: MARKET, BY OFFERING, 2016–2021 (USD BILLION)
TABLE 266 ASIA PACIFIC: MARKET, BY OFFERING, 2022–2027 (USD BILLION)
TABLE 267 ASIA PACIFIC: MARKET, BY HARDWARE, 2016–2021 (USD BILLION)
TABLE 268 ASIA PACIFIC: MARKET, BY HARDWARE, 2022–2027 (USD BILLION)
TABLE 269 ASIA PACIFIC: MARKET, BY PROCESSOR, 2016–2021 (USD BILLION)
TABLE 270 ASIA PACIFIC: MARKET, BY PROCESSOR, 2022–2027 (USD BILLION)
TABLE 271 ASIA PACIFIC: MARKET, BY SOFTWARE, 2016–2021 (USD BILLION)
TABLE 272 ASIA PACIFIC: MARKET, BY SOFTWARE, 2022–2027 (USD BILLION)
TABLE 273 ASIA PACIFIC: MARKET, BY SERVICE, 2016–2021 (USD BILLION)
TABLE 274 ASIA PACIFIC: MARKET, BY SERVICE, 2022–2027 (USD BILLION)
TABLE 275 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
TABLE 276 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
TABLE 277 ASIA PACIFIC: MARKET, BY MACHINE LEARNING, 2016–2021 (USD BILLION)
TABLE 278 ASIA PACIFIC: MARKET, BY MACHINE LEARNING, 2022–2027 (USD BILLION)
TABLE 279 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
TABLE 280 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
TABLE 281 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD BILLION)
TABLE 282 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION)
TABLE 283 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
TABLE 284 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
TABLE 285 ASIA PACIFIC: MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
TABLE 286 ASIA PACIFIC: MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
TABLE 287 ASIA PACIFIC: MARKET, BY COUNTRY, 2016–2021 (USD BILLION)
TABLE 288 ASIA PACIFIC: MARKET, BY COUNTRY, 2022–2027 (USD BILLION)
12.4.2 CHINA
12.4.2.1 Significant untapped AI opportunities
TABLE 289 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
TABLE 290 CHINA: MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
TABLE 291 CHINA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
TABLE 292 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 293 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD MILLION)
TABLE 294 MIDDLE EAST AND AFRICA: MARKET, BY OFFERING, 2022–2027 (USD MILLION)
TABLE 295 MIDDLE EAST AND AFRICA: MARKET, BY HARDWARE, 2016–2021 (USD MILLION)
TABLE 296 MIDDLE EAST AND AFRICA: MARKET, BY HARDWARE, 2022–2027 (USD MILLION)
TABLE 297 MIDDLE EAST AND AFRICA: MARKET, BY PROCESSOR, 2016–2021 (USD MILLION)
TABLE 298 MIDDLE EAST AND AFRICA: MARKET, BY PROCESSOR, 2022–2027 (USD MILLION)
TABLE 299 MIDDLE EAST AND AFRICA: MARKET, BY SOFTWARE, 2016–2021 (USD MILLION)
TABLE 300 MIDDLE EAST AND AFRICA: MARKET, BY SOFTWARE, 2022–2027 (USD MILLION)
TABLE 301 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE, 2016–2021 (USD MILLION)
TABLE 302 MIDDLE EAST AND AFRICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 303 MIDDLE EAST AND AFRICA: MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION)
TABLE 304 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION)
TABLE 305 MIDDLE EAST AND AFRICA: MARKET, BY MACHINE LEARNING, 2016–2021 (USD MILLION)
TABLE 306 MIDDLE EAST AND AFRICA: MARKET, BY MACHINE LEARNING, 2022–2027 (USD MILLION)
TABLE 307 MIDDLE EAST AND AFRICA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
TABLE 308 MIDDLE EAST AND AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 309 MIDDLE EAST AND AFRICA: MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
TABLE 310 MIDDLE EAST AND AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 311 MIDDLE EAST AND AFRICA: MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD MILLION)
TABLE 312 MIDDLE EAST AND AFRICA: MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD MILLION)
TABLE 313 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 314 MIDDLE EAST AND AFRICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 315 MIDDLE EAST AND AFRICA: MARKET, BY COUNTRY, 2016–2021 (USD MILLION)
TABLE 316 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 317 CENTRAL AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD MILLION)
TABLE 318 CENTRAL AMERICA: MARKET, BY OFFERING, 2022–2027 (USD MILLION)
TABLE 319 CENTRAL AMERICA: MARKET, BY HARDWARE, 2016–2021 (USD MILLION)
TABLE 320 CENTRAL AMERICA: MARKET, BY HARDWARE, 2022–2027 (USD MILLION)
TABLE 321 CENTRAL AMERICA: MARKET, BY PROCESSOR, 2016–2021 (USD MILLION)
TABLE 322 CENTRAL AMERICA: MARKET, BY PROCESSOR, 2022–2027 (USD MILLION)
TABLE 323 CENTRAL AMERICA: MARKET, BY SOFTWARE, 2016–2021 (USD MILLION)
TABLE 324 CENTRAL AMERICA: MARKET, BY SOFTWARE, 2022–2027 (USD MILLION)
TABLE 325 CENTRAL AMERICA: MARKET, BY SERVICE, 2016–2021 (USD MILLION)
TABLE 326 CENTRAL AMERICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 327 CENTRAL AMERICA: MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION)
TABLE 328 CENTRAL AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION)
TABLE 329 CENTRAL AMERICA: MARKET, BY MACHINE LEARNING, 2016–2021 (USD MILLION)
TABLE 330 CENTRAL AMERICA: MARKET, BY MACHINE LEARNING, 2022–2027 (USD MILLION)
TABLE 331 CENTRAL AMERICA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
TABLE 332 CENTRAL AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 333 CENTRAL AMERICA: MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
TABLE 334 CENTRAL AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 335 CENTRAL AMERICA: MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD MILLION)
TABLE 336 CENTRAL AMERICA: MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD MILLION)
TABLE 337 CENTRAL AMERICA: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 338 CENTRAL AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 339 CENTRAL AMERICA: MARKET, BY COUNTRY, 2016–2021 (USD MILLION)
TABLE 340 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 341 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD MILLION)
TABLE 342 LATIN AMERICA: MARKET, BY OFFERING, 2022–2027 (USD MILLION)
TABLE 343 LATIN AMERICA: MARKET, BY HARDWARE, 2016–2021 (USD MILLION)
TABLE 344 LATIN AMERICA: MARKET, BY HARDWARE, 2022–2027 (USD MILLION)
TABLE 345 LATIN AMERICA: MARKET, BY PROCESSOR, 2016–2021 (USD MILLION)
TABLE 346 LATIN AMERICA: MARKET, BY PROCESSOR, 2022–2027 (USD MILLION)
TABLE 347 LATIN AMERICA: MARKET, BY SOFTWARE, 2016–2021 (USD MILLION)
TABLE 348 LATIN AMERICA: MARKET, BY SOFTWARE, 2022–2027 (USD MILLION)
TABLE 349 LATIN AMERICA: MARKET, BY SERVICE, 2016–2021 (USD MILLION)
TABLE 350 LATIN AMERICA: MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 351 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION)
TABLE 352 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION)
TABLE 353 LATIN AMERICA: MARKET, BY MACHINE LEARNING, 2016–2021 (USD MILLION)
TABLE 354 LATIN AMERICA: MARKET, BY MACHINE LEARNING, 2022–2027 (USD MILLION)
TABLE 355 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
TABLE 356 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 357 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
TABLE 358 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 359 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD MILLION)
TABLE 360 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD MILLION)
TABLE 361 LATIN AMERICA: MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 362 LATIN AMERICA: MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 363 LATIN AMERICA: MARKET, BY COUNTRY, 2016–2021 (USD MILLION)
TABLE 364 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. - 289)
13.1 OVERVIEW
13.2 KEY PLAYER STRATEGIES
TABLE 365 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 366 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 367 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
TABLE 368 MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES)
13.8 COMPETITIVE SCENARIO
13.8.1 PRODUCT LAUNCHES
TABLE 369 PRODUCT LAUNCHES, 2018–2022
13.8.2 DEALS
TABLE 370 DEALS, 2018–2022
13.8.3 OTHERS
TABLE 371 OTHERS, 2019–2020
14 COMPANY PROFILES (Page No. - 299)
14.1 INTRODUCTION
(Business overview, Products/Solutions/Services offered, COVID-19-related developments, Recent developments & MnM View)*
14.2 MAJOR PLAYERS
14.2.1 GOOGLE
TABLE 372 GOOGLE: BUSINESS OVERVIEW
FIGURE 50 GOOGLE: COMPANY SNAPSHOT
TABLE 373 GOOGLE: PRODUCTS OFFERED
TABLE 374 GOOGLE: SERVICES OFFERED
TABLE 375 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 376 GOOGLE: DEALS
14.2.2 MICROSOFT
TABLE 377 MICROSOFT: BUSINESS OVERVIEW
FIGURE 51 MICROSOFT: COMPANY SNAPSHOT
TABLE 378 MICROSOFT: PRODUCTS OFFERED
TABLE 379 MICROSOFT: SERVICES OFFERED
TABLE 380 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 381 MICROSOFT: DEALS
14.2.3 IBM
TABLE 382 IBM: BUSINESS OVERVIEW
FIGURE 52 IBM: COMPANY SNAPSHOT
TABLE 383 IBM: PRODUCTS OFFERED
TABLE 384 IBM: SERVICES OFFERED
TABLE 385 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 386 IBM: DEALS
14.2.4 INTEL
TABLE 387 INTEL: BUSINESS OVERVIEW
FIGURE 53 INTEL: COMPANY SNAPSHOT
TABLE 388 INTEL: PRODUCTS OFFERED
TABLE 389 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 390 INTEL: DEALS
14.2.5 ORACLE
TABLE 391 ORACLE: BUSINESS OVERVIEW
FIGURE 54 ORACLE: COMPANY SNAPSHOT
TABLE 392 ORACLE: PRODUCTS OFFERED
TABLE 393 ORACLE: SERVICES OFFERED
TABLE 394 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 395 ORACLE: DEALS
14.2.6 AWS
TABLE 396 AWS: BUSINESS OVERVIEW
FIGURE 55 AWS: COMPANY SNAPSHOT
TABLE 397 AWS: PRODUCTS OFFERED
TABLE 398 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 399 AWS: DEALS
14.2.7 SALESFORCE
TABLE 400 SALESFORCE: BUSINESS OVERVIEW
FIGURE 56 SALESFORCE: COMPANY SNAPSHOT
TABLE 401 SALESFORCE: PRODUCTS OFFERED
TABLE 402 SALESFORCE: SERVICES OFFERED
TABLE 403 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 404 SALESFORCE: DEALS
14.2.8 SAP
TABLE 405 SAP: BUSINESS OVERVIEW
FIGURE 57 SAP: COMPANY SNAPSHOT
TABLE 406 SAP: PRODUCTS OFFERED
TABLE 407 SAP: SERVICES OFFERED
TABLE 408 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 409 SAP: DEALS
14.2.9 SAS INSTITUTE
TABLE 410 SAS INSTITUTE: BUSINESS OVERVIEW
FIGURE 58 SAS INSTITUTE: COMPANY SNAPSHOT
TABLE 411 SAS INSTITUTE: PRODUCTS OFFERED
TABLE 412 SAS INSTITUTE: SERVICES OFFERED
TABLE 413 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 414 SAS INSTITUTE: DEALS
14.2.10 CISCO
TABLE 415 CISCO: BUSINESS OVERVIEW
FIGURE 59 CISCO: COMPANY SNAPSHOT
TABLE 416 CISCO: PRODUCTS OFFERED
TABLE 417 CISCO: SERVICES OFFERED
TABLE 418 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 419 CISCO: DEALS
14.2.11 META
TABLE 420 META: BUSINESS OVERVIEW
FIGURE 60 META: COMPANY SNAPSHOT
TABLE 421 META: PRODUCTS OFFERED
TABLE 422 META: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 423 META: DEALS
14.2.12 HPE
TABLE 424 HPE: BUSINESS OVERVIEW
FIGURE 61 HPE: COMPANY SNAPSHOT
TABLE 425 HPE: PRODUCTS OFFERED
TABLE 426 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 427 HPE: DEALS
14.2.13 SIEMENS
TABLE 428 SIEMENS: BUSINESS OVERVIEW
FIGURE 62 SIEMENS: COMPANY SNAPSHOT
TABLE 429 SIEMENS: PRODUCTS OFFERED
TABLE 430 SIEMENS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 431 SIEMENS: DEALS
14.2.14 HUAWEI
TABLE 432 HUAWEI: BUSINESS OVERVIEW
FIGURE 63 HUAWEI: COMPANY SNAPSHOT
TABLE 433 HUAWEI: PRODUCTS OFFERED
TABLE 434 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 435 HUAWEI: DEALS
14.2.15 NVIDIA
TABLE 436 NVIDIA: BUSINESS OVERVIEW
FIGURE 64 NVIDIA: COMPANY SNAPSHOT
TABLE 437 NVIDIA: PRODUCTS OFFERED
TABLE 438 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 439 NVIDIA: DEALS
14.2.16 BAIDU
TABLE 440 BAIDU: BUSINESS OVERVIEW
FIGURE 65 BAIDU: COMPANY SNAPSHOT
TABLE 441 BAIDU: PRODUCTS OFFERED
TABLE 442 BAIDU: SERVICES OFFERED
TABLE 443 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 444 BAIDU: DEALS
14.2.17 SAMSUNG
TABLE 445 SAMSUNG: BUSINESS OVERVIEW
TABLE 446 SAMSUNG: PRODUCTS OFFERED
TABLE 447 SAMSUNG: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 448 SAMSUNG: DEALS
14.2.18 IFLYTEK
TABLE 449 IFLYTEK: BUSINESS OVERVIEW
TABLE 450 IFLYTEK: PRODUCTS OFFERED
TABLE 451 IFLYTEK: SERVICES OFFERED
TABLE 452 IFLYTEK: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 453 IFLYTEK: DEALS
14.2.19 ALIBABA CLOUD
TABLE 454 ALIBABA: BUSINESS OVERVIEW
TABLE 455 ALIBABA CLOUD: PRODUCTS OFFERED
TABLE 456 ALIBABA CLOUD: SERVICES OFFERED
TABLE 457 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 458 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
*Details on Business overview, Products/Solutions/Services offered, COVID-19-related developments, Recent developments & MnM View might not be captured in case of unlisted companies.
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
15 ADJACENT AND RELATED MARKETS (Page No. - 414)
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 459 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2015–2019 (USD MILLION)
TABLE 460 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2019–2026 (USD MILLION)
15.2.2.2 Natural language processing market, by solution type
TABLE 461 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2015–2019 (USD MILLION)
TABLE 462 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2019–2026 (USD MILLION)
15.2.2.3 Natural language processing market, by deployment mode
TABLE 463 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
TABLE 464 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
15.2.2.4 Natural language processing market, by organization size
TABLE 465 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
TABLE 466 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
15.2.2.5 Natural language processing market, by type
TABLE 467 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2015–2019 (USD MILLION)
TABLE 468 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2019–2026 (USD MILLION)
15.2.2.6 Natural language processing market, by application
TABLE 469 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2015–2019 (USD MILLION)
TABLE 470 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2019–2026 (USD MILLION)
15.2.2.7 Natural language processing market, by vertical
TABLE 471 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2015–2019 (USD MILLION)
TABLE 472 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2019–2026 (USD MILLION)
15.2.2.8 Natural language processing market, by region
TABLE 473 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2015–2019 (USD MILLION)
TABLE 474 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2019–2026 (USD MILLION)
TABLE 475 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 476 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2019–2026 (USD MILLION)
TABLE 477 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 478 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2019–2026 (USD MILLION)
TABLE 479 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 480 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2019–2026 (USD MILLION)
TABLE 481 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 482 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2019–2026 (USD MILLION)
TABLE 483 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 484 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 485 CONVERSATIONAL AI MARKET, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 486 CONVERSATIONAL AI MARKET, BY SERVICE, 2019–2025 (USD MILLION)
15.3.2.2 Conversational AI market, by type
TABLE 487 CONVERSATIONAL AI MARKET, BY TYPE, 2019–2025 (USD MILLION)
15.3.2.3 Conversational AI market, by technology
TABLE 488 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2019–2025 (USD MILLION)
15.3.2.4 Conversational AI market, by deployment mode
TABLE 489 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
15.3.2.5 Conversational AI market, by application
TABLE 490 CONVERSATIONAL AI MARKET, BY APPLICATION, 2019–2025 (USD MILLION)
15.3.2.6 Conversational AI market, by vertical
TABLE 491 CONVERSATIONAL AI MARKET, BY VERTICAL, 2019–2025 (USD MILLION)
15.3.2.7 Conversational AI market, by region
TABLE 492 CONVERSATIONAL AI MARKET, BY REGION, 2019–2025 (USD MILLION)
TABLE 493 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 494 EUROPE: CONVERSATIONAL AI MARKET, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 495 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 496 MIDDLE EAST AND AFRICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 497 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2019–2025 (USD MILLION)
16 APPENDIX (Page No. - 431)
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:
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
Growth opportunities and latent adjacency in Artificial Intelligence Market
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