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 2026
[427 Pages Report] MarketsandMarkets forecasts the global artificial intelligence (AI) market size to grow USD 58.3 billion in 2021 to USD 309.6 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 39.7% during the forecast period. Various factors such as growth of data-based AI and advancement in deep learning and need to achieve robotic autonomy to stay competitive in a global market are expected to drive the adoption of the AI solutions and services.
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COVID-19 impact on global AI market
The COVID-19 pandemic has encouraged new applications and technological developments within the sector. It has accelerated the adoption of AI in sectors such as healthcare. AI-based tools and solutions are being deployed at scale for responding to the crisis. Technology giants such as Microsoft, Google, Apple, Amazon, and Facebook are taking initiatives related to remote communications between patients and clinicians, contact tracing, and drug development. During the pandemic, various companies experienced significant increase in pressure from customers, while their number of available employees decreased. Various contact centers were unable to cope with demand or closed because of lockdown restrictions, leading to long delays in customer service queries, which dramatically affected the customer experience. Hence, the demand for conversational AI has been increasing to the forefront of technology enablers. Besides the healthcare sector, AI has been revolutionizing various industries to uphold business resilience. The education sector started using AI, while even online education start-ups began to offer personalized services in line with the needs and specific requirements of the students. The COVID-19 crisis has reinforced the need to transform the conventional education system into one driven by technology. Apart from changing the learning methodology, AI-powered machines also enabled educators in several ways, such as tracking student performances, identifying gaps in teaching techniques, and automating mundane administrative tasks.
Market Dynamics
Driver: Need to achieve robotic autonomy to stay competitive in a global market
Today, AI, including computer vision and ML, is changing the landscape of the robotics industry. To stay ahead in a global market, businesses have started considering fully autonomous robots that can perceive, interact, and conceptualize the world around them. As industries begin to navigate this modern technological revolution, they have started looking for trusted and experienced technology partners. Deep learning models use artificial neural nets for processing large quantities of data, including images, texts, and sounds, for producing accurate results. AI-driven automation has proven useful in various applications across numerous industries, including the aviation, medical, agriculture, energy, and material handling markets. AI is being used not only to automate tasks but also to diagnose equipment malfunctions or detect product anomalies. For instance, within the aviation industry, AI and ML can be used to predict peak travel times, assist with passenger check-in, and automate routine maintenance tasks. AI is being used across the board to automate dangerous tasks, augment or replace skilled labor, and streamline operations. And yet, despite these advances, AI still cannot think abstractly or creatively. This means that there is a need for an ever-evolving workforce that is trained in robotics and advanced manufacturing.
Restraint: Limited number of AI experts
AI is a complex system, and for developing, managing, and implementing AI systems, companies require workforce with certain skill sets. For instance, workforce dealing with AI systems should be aware of technologies such as cognitive computing, ML and machine intelligence, deep learning, and image recognition. The integration of AI solutions with the existing systems is a difficult task, which 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, and this can drastically affect outcomes and desired results.
Professional services of a data scientist or a developer are needed to customize an existing ML-enabled AI service. As AI technology is still in the early stage of its life cycle, the workforce with in-depth knowledge of this technology is limited. Thus, the impact of this restraining factor is expected to remain high during the initial years of the forecast period.
Opportunity: Increase in government initiatives and growth in investments to leverage the AI technology
The growing applications and easy deployment modes have dragged governments’ attention toward the AI technology, which has led to the growing investments by governments in AI and its related technologies. Government authorities, public sector organizations, and NGOs have started allocating the budget for AI-based pilot programs for numerous AI applications, including road and public safety, traffic management, and digitization of government documents. In August 2020, the US government announced more than USD 1 billion to establish research labs for AI and quantum information science. Similarly, in 2017, the Chinese government announced the initiative named ‘lead the world in AI by 2030.’ The initiative works toward AI development and deployment in every sector. Additionally, China has won more than 900 patents related to facial recognition. In March 2021, the Government of Canada announced USD 518 million to develop research infrastructure for advanced technologies, wherein the UK government has invested USD 27.5 million to conduct 15 innovative AI research projects in the healthcare sector. Apart from this, Singapore’s Armed Forces (SAF) has been investing in AI to build an unmanned system to battle alongside its worriers. The Indian government’s NITI Aayog program, #AIforAll, is increasingly working toward augmenting the economic growth expected to reach 1.3% by 2035 with the help of AI technology.
Challenge: Data security and privacy concerns
Security threats would grow even 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 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. Such data, which is used in support and communication, may include a variety of data types. These data types include public information, big data, and small data collected from customers. This data can include permissions, individual preferences, and updated contact information on products, services, and communication platforms. Thus, vendors need to ensure high-level data security to maintain customer trust. Cyberattacks have increased significantly and have become sophisticated. For instance, in recent times, cybercriminals have widespread tools to obtain anything from passwords to secret questions and token-generated passwords. In such situations, marketing and IT teams need to work concurrently, providing each other with insights on when and how the data is gathered, processed, and used in operations. Before buying data, organizations should do their research and ensure they are receiving data from a reputable provider offering accurate data. As the data consists of customer demographic information, organizations may develop algorithms that penalize individuals based on their age, gender, or ethnicity. Companies should always have a detailed and precise representation of customers, account for biases, and offer fairness.
The cloud segment to grow at a higher CAGR during the forecast period
The cloud segment is expected to account for higher CAGR during the forecast period. The cloud deployment mode provides multiple benefits, such as reduced operational costs, hassle-free deployment, and high scalability. Cloud deployment for NLP and ML tools in AI is expected to grow with the increasing awareness related to the benefits of cloud-based solutions contributinf to its growth in the market.
Marketing and sales segment to account for largest market size during the forecast period
The global AI market by business function is segmented into finance, security, HR, marketing and sales, and law. AI in the field of marketing is one of the largest and major applications, for media and advertising purposes. AI offers incredible profit opportunities for companies as programmatic advertising can result in high conversion opportunity by extending audience pools and reaching accurate targets with fine-tuned messaging leading to its adoption for marketing and sales.
APAC to account for higher CAGR during the forecast period
The AI market is segmented into five geographic regions: North America, Europe, APAC, MEA, and Latin America. Among these regions, North America is projected to hold the largest market share during the forecast period. The market in APAC is anticipated to grow at the highest CAGR during the forecast period. This growth can be attributed to the adoption of AI services in end-user industries, such as manufacturing, healthcare, and automotive in countries such as Japan, China, Australia, and South Korea.
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Key Market Players
The AI vendors 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 vendors in the global AI market include Alphabet Inc. (US), Microsoft Corporation (US), IBM Corporation (US), Baidu, Inc. (China), Intel Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Amazon Web Services, Inc. (US), SAS Institute Inc. (US), Facebook, Inc. (US), SAP SE (Germany), Salesforce.com, Inc. (US), NVIDIA Corporation (US), Oracle (US), Cisco (US), Siemens (US), Huawei (China), Alibaba Cloud (China), iFLYTEK (China), Hewlett Packard Enterprise Development LP (US), General Vision Inc. (US), Graphcore (UK), Mellanox Technologies (US), Darktrace (UK), Cylance Inc. (US), Didi Chuxing Technology Co. (China), Zoox (US), Face++ (China), Inbenta (US), Zephyr Health Inc. (US), Butterfly Network (US), Atomwise Inc. (US), Vicarious (US), Preferred Network Inc. (Japan), AIBrain LLC (US), Wave Computing Inc. (US), Mythic (US), Adapteva (US), Koniku Inc. (US), KnuEdge Inc. (US), SK Hynix Inc. (South Korea), Progress DataRPM (US), Descartes Labs (US), Gamaya (Switzerland), EC2CE (Spain), Precision Hawk(US), Agribotix (US), Neurala (US), Iris Automation (US), Pilot AI Labs Inc.(US), Sentient Technologies (US), Applied Brain Research (Canada), Twitter (US), InsideSales (US), Persado (US), Mariana (US), Drawbridge (US), Narrative Science (US), Appier (Taiwan), Zensed (Sweden), and GumGum Inc. (US). The study includes an in-depth competitive analysis of these key players in the AI market with their company profiles, recent developments, and key market strategies.Scope of the Report
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Report Metrics |
Details |
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Market size available for years |
2021–2026 |
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Base year considered |
2020 |
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Forecast period |
2021–2026 |
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Forecast units |
USD Billion |
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Segments covered |
Offering, Technology, Business Function, Deployment Mode, Organization Size, Vertical, and Region |
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Geographies covered |
North America, Europe, APAC, MEA and Latin America |
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Companies covered |
Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), SAS Institute (US), Facebook (US), SAP SE (Germany), Salesforce (US), Baidu (China), Alibaba Cloud (China), Intel (US), NVIDIA (US), Cisco (US), Samsung (South Korea), HPE (US), Siemens (Germany), Huawei (China), General Vision (US), Mellanox (US), Darktrace (UK), Cyclance (US), Didi Chuxing (China), Face++ (China), Inbenta (US), Zephyr health (US), Butterfly Network (US), Atomwise (US), Vicarious (US), Aibrain (US), Wave Computing (US), Adapteva (US), Koniku (US), Knuedge (US), SK Hynix (South Korea), Progress DataRPM (US), Precision Hawk (US), Agribotix (US), Neurala (US), Sentient Technologies (US), Twitter (US), Insidesales (US), Persado (US), Mariana (US), Drawbridge (US), Narrative Science (US), Appier (Taiwan), GumGum (US), Zylab (US), Graphcore (UK), Zoox (US), Preferred Network (Japan), Zensed (Sweden), Applied Brain Research (Canada), Pilot AI Labs (US), Iris Automation (US), Gamaya (Switzerland), EC2CE (Spain), Descartes Labs (US), Mythic (US), and iFLYTEK (China). |
This research report categorizes the artificial intelligence market based on offering, technology, business function, deployment mode, organization size, vertical, and regions.
By Offering:
- Hardware
- Processor
- Memory
- Network
- Software
- Application Program Interface (API)
- Machine Learning Framework
- Services
- Deployment and Integration
- Support and Maintenance
By Technology:
- Machine Learning
- Deep Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Other Technology
- Natural Language Processing
- Context-Aware Computing
- Computer Vision
By Business Function:
- Marketing and Sales
- Security
- Finance
- Law
- Human Resource
- Other Business Function ()
By Deployment Mode:
- Cloud
- On-premises
By Organization Size:
- Large enterprises
- Small and medium-sized enterprises (SMEs)
By Vertical:
- BFSI
- Retail and eCommerce
- Telecommunication and IT
- Healthcare and Life Sciences
- Automotive
- Government and Defense
- Manufacturing
- Energy and Utilities
- Other Verticals (education, media and entertainment and travel and hospitality)
By Region:
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- APAC
- China
- Japan
- South Korea
- India
- Rest of APAC
- Middle East and Africa
- Kingdom of Saudi Arabia
- United Arab Emirates
- South Africa
- Rest of Middle East and Africa
- Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In January 2021, Google launched Product Discovery Solutions for retail industry. This suite would enhance the retailer’s eCommerce capabilities and help them provide enhance customer experience. Product Discovery Solutions for Retail brings together AI algorithms and a search service, Cloud Search for Retail, which leverages Google Search technology to power retailers’ product-finding tools.
- In November 2020, Microsoft announced the availability of Dynamic 365 Project Operations solution across India. The solution focuses on providing help to businesses in unifying operational workflows to provide visibility, collaboration, and insights to drive success across teams, from prospects to payments to profit. The solution is built on Microsoft Power Platform and uses real-time analytics to connect and empower leadership, sales, resourcing, project management, and accounting teams with the visibility needed to deliver services to customers on-time and on-budget..
- In December 2020, IBM enhanced the capabilities of Watson to help businesses scale the use of AI. The new capabilities of the Watson are designed to improve the automation of AI and enhance the precision of AI prediction. IBM Discovery will provide more precise answers to the client queries with the help of NLP.
- In April 2019, AWS enhanced AI services for NLP, speech-to-text transcription, and image detection. AWS added new features to its AI services, such as Amazon Comprehend. The new features allow users to process texts in the encrypted format as well. Customers are leveraging the new features of Amazon Comprehend.
- In September 2020, Facebook AI launched Dynabench, a Dynamic Benchmarking ML platform. The company launched a new research platform for data collection and benchmarking. Dynabench uses a dynamic adversarial data collection procedure to improve current benchmarking practices.
- In June 2020, Salesforce launched a new solution Einstein recommendation for Trailhead. The company brought AI capabilities in its online learning platform by launching Einstein recommendation. The new solution would create personalized, intelligent learning experience by guiding learners throughout their journeys. It also would provide recommendations on the basis of other similar learner’s preferences.
- In December 2020, Cisco announced the launch of a new Webex solution to deliver highly personalized insights and actionable recommendations to individuals and teams. Webex enables organizations to collaborate seamlessly and transform their employee and customer experiences. Webex is helping employees innovate and remain productive wherever they are. Since the pandemic, Webex has not only continued to help businesses thrive, it has also been an integral platform for governments to continue to lead remotely, doctors to meet with patients safely, and educators to teach students at a distance.
Frequently Asked Questions (FAQ):
What is artificial intelligence (AI)?
Which countries are considered in the European region?
Which are key verticals adopting AI solution and services?
Which are the key drivers supporting the growth of the AI market?
Who are the key vendors in the AI market?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 50)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 4 CRITERIA IMPACTING THE GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.5.1 INCLUSIONS AND EXCLUSIONS
1.6 MARKET SCOPE
1.6.1 MARKET SEGMENTATION
1.6.2 REGIONS COVERED
1.6.3 YEARS CONSIDERED FOR THE STUDY
1.7 CURRENCY CONSIDERED
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2020
1.8 STAKEHOLDERS
1.9 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 60)
2.1 RESEARCH DATA
FIGURE 6 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 MARKET BREAKUP AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 8 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF THE MARKET
FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF THE ARTIFICIAL INTELLIGENCE MARKET
FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF THE MARKET
FIGURE 12 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 COMPANY EVALUATION MATRIX METHODOLOGY
FIGURE 13 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
FIGURE 14 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.7 ASSUMPTIONS FOR THE STUDY
2.8 LIMITATIONS OF THE STUDY
2.9 IMPLICATIONS OF COVID-19 ON THE ARTIFICIAL INTELLIGENCE MARKET
FIGURE 15 QUARTERLY IMPACT OF COVID-19 DURING 2020–2021
3 EXECUTIVE SUMMARY (Page No. - 76)
TABLE 4 ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2015–2020 (USD BILLION, Y-O-Y%)
TABLE 5 MARKET SIZE AND GROWTH RATE, 2021–2026 (USD BILLION, Y-O-Y%)
FIGURE 16 ARTIFICIAL INTELLIGENCE SOFTWARE TO BE A LARGER MARKET IN 2021 (USD BILLION)
FIGURE 17 PROCESSOR HARDWARE TO BE THE LARGEST MARKET SIZE IN 2021
FIGURE 18 MACHINE LEARNING FRAMEWORK TO DOMINATE THE MARKET IN 2021
FIGURE 19 DEPLOYMENT AND INTEGRATION SEGMENT TO HAVE A LARGER MARKET SIZE IN 2021
FIGURE 20 MACHINE LEARNING TECHNOLOGY TO DOMINATE THE MARKET IN 2021 (USD BILLION)
FIGURE 21 CLOUD TO BE THE LARGER MARKET IN 2021
FIGURE 22 LARGE ENTERPRISES TO BE THE LARGER MARKET IN 2021 (VALUE)
FIGURE 23 MARKET FOR LAW TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 24 MARKET IN NORTH AMERICA TO HOLD THE LARGEST SHARE IN 2021
4 PREMIUM INSIGHTS (Page No. - 81)
4.1 ATTRACTIVE OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE MARKET
FIGURE 25 MARKET IN ASIA PACIFIC TO GROW AT THE HIGHEST CAGR BETWEEN 2021 AND 2026
4.2 MARKET, BY PROCESSOR
FIGURE 26 MARKET FOR GRAPHICS PROCESSING UNIT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
4.3 MARKET, BY BUSINESS FUNCTION
FIGURE 27 MARKETING AND SALES BUSINESS FUNCTION TO HOLD LARGEST MARKET SIZE DURING THE FORECAST PERIOD
4.4 MARKET, OFFERING AND BUSINESS FUNCTION
FIGURE 28 SOFTWARE OFFERING AND MARKETING AND SALES BUSINESS FUNCTION TO HOLD THE LARGEST MARKET SHARE OF THE MARKET IN NORTH AMERICA DURING FORECAST PERIOD
4.5 MARKET, BY REGION
FIGURE 29 NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2021
5 MARKET OVERVIEW (Page No. - 84)
5.1 MARKET DYNAMICS
FIGURE 30 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ARTIFICIAL INTELLIGENCE MARKET
5.1.1 DRIVERS
5.1.1.1 Growth of data-based AI and advancement in deep learning
5.1.1.2 Need to achieve robotic autonomy to stay competitive in a global market
5.1.2 RESTRAINTS
5.1.2.1 Limited number of AI experts
5.1.3 OPPORTUNITIES
5.1.3.1 Growth in ethical AI development to boost the adoption of AI technology
5.1.3.2 Increase in government initiatives and growth in investments to leverage the AI technology
5.1.4 CHALLENGE
5.1.4.1 Data security and privacy concerns
5.2 INVESTMENTS IN ARTIFICIAL INTELLIGENCE
TABLE 6 MAJOR INVESTMENTS IN ARTIFICIAL INTELLIGENCE, 2018–2021
5.3 ACQUISITIONS IN THE AI MARKET
TABLE 7 MAJOR ACQUISITIONS IN THE ARTIFICIAL INTELLIGENCE MARKET BETWEEN 2018 AND 2021
5.4 PATENT ANALYSIS
5.4.1 METHODOLOGY
5.4.2 DOCUMENT TYPE
TABLE 8 PATENTS FILED, 2018-2021
5.4.3 INNOVATION AND PATENT APPLICATIONS
FIGURE 31 TOTAL NUMBER OF PATENTS GRANTED IN A YEAR, 2018–2021
5.4.3.1 Top applicants
FIGURE 32 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2018–2021
TABLE 9 TOP TEN PATENT OWNERS (US) IN THE ARTIFICIAL INTELLIGENCE MARKET, 2018–2021
5.5 CASE STUDIES
5.5.1 RETAIL
5.5.1.1 Use Case 1: ASOS used Microsoft Azure ML service to reduce time-to-market for recommendations model
5.5.1.2 Use case 2: AWS technologies helped Artfinder give recommendations to its customers
5.5.2 MARKETING AND SALES
5.5.2.1 Use Case 1: US foods used solutions offered by Snowflake and DataRobot to analyze transactions from 300,000 customers
5.5.2.2 Use case 2: Marketing technology companies, such as G5 and Poder.io use H2O.ai technology to deliver innovative marketing solutions
5.5.3 HEALTHCARE
5.5.3.1 Use Case 1: Tamil Nadu eGovernance Agency (TNeGA) used an AI-based mobile app to enable the screening of a large number of people for cataract
5.5.3.2 Use case 2: Inspire used ML to connect millions of patients and caregivers on AWS
5.5.4 FINTECH
5.5.4.1 Use Case 1: Humana used Watson Assistant to address customer queries
5.5.4.2 Use case 2: H2O Driverless AI used by various financial institutions to detect and prevent fraud
5.5.5 SECURITY
5.5.5.1 Use Case 1: Cybraics nLighten platform helped prevent systems from cyber threats
5.5.5.2 Use case 2: Cognizant created an AI-enabled smudging solution for a large Indian insurance company to protect biometric data
5.5.6 AGRICULTURE
5.5.6.1 Use Case 1: The biochemical company built a digital solution possible to deliver accurate product recommendations through the power of AI
5.5.6.2 Use case 2: An agrochemical company used precision farming solution to predict Mildew disease occurring in crops
5.5.7 MANUFACTURING
5.5.7.1 Use Case 1: Kia Motors America relied on advanced analytics and AI solutions from SAS to improve its products, services, and customer satisfaction
5.5.7.2 Use case 2: Coca-Cola used IBM Watson services for Core ML to identify equipment issues, diagnose problems, and troubleshoot repairs
5.5.8 LAW
5.5.8.1 Use Case 1: The Law Society of British Columbia (BC) used Dataiku for Risk Ranking and Anomaly Detection
5.5.8.2 Use case 2: Nia Contracts Analysis of Infosys leveraged advanced ML techniques to help customers derive insights from their contracts and other legal documents
5.6 SUPPLY CHAIN ANALYSIS
FIGURE 33 ARTIFICIAL INTELLIGENCE: SUPPLY CHAIN ANALYSIS
5.7 VALUE CHAIN ANALYSIS
FIGURE 34 ARTIFICIAL INTELLIGENCE: VALUE CHAIN ANALYSIS
5.8 USE CASES
FIGURE 35 ARTIFICIAL INTELLIGENCE: USE CASES ACROSS VERTICALS
5.9 PORTER’S FIVE FORCES ANALYSIS
FIGURE 36 ARTIFICIAL INTELLIGENCE: PORTER’S FIVE FORCES ANALYSIS
TABLE 10 ARTIFICIAL INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS
5.9.1 THREAT OF NEW ENTRANTS
5.9.2 THREAT OF SUBSTITUTES
5.9.3 BARGAINING POWER OF SUPPLIERS
5.9.4 BARGAINING POWER OF BUYERS
5.9.5 INTENSITY OF COMPETITIVE RIVALRY
5.10 EVOLUTION
FIGURE 37 EVOLUTION OF ARTIFICIAL INTELLIGENCE
5.11 ECOSYSTEM OF THE MARKET
FIGURE 38 ECOSYSTEM
5.12 MARKET: COVID-19 IMPACT
5.13 PRICING MODEL ANALYSIS
TABLE 11 PRICING ANALYSIS
5.14 REVENUE ANALYSIS
FIGURE 39 REVENUE ANALYSIS OF TOP FIVE COMPANIES
6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING (Page No. - 112)
6.1 INTRODUCTION
6.1.1 OFFERINGS: COVID-19 IMPACT
6.1.2 OFFERINGS: MARKET DRIVERS
FIGURE 40 MARKET FOR SERVICES TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 1 MARKET SIZE, BY OFFERING, 2015–2020 (USD BILLION)
TABLE 2 MARKET SIZE, BY OFFERING, 2021–2026 (USD BILLION)
6.2 HARDWARE
TABLE 3 MARKET SIZE, BY HARDWARE, 2015–2020 (USD BILLION)
TABLE 4 MARKET SIZE, BY HARDWARE, 2021–2026 (USD BILLION)
TABLE 5 HARDWARE: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 6 HARDWARE: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.2.1 PROCESSORS
TABLE 7 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY PROCESSOR, 2015–2020 (USD BILLION)
TABLE 8 MARKET SIZE, BY PROCESSOR, 2021–2026 (USD BILLION)
TABLE 9 PROCESSOR: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 10 PROCESSOR: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.2.1.1 Microprocessing Unit
TABLE 11 MICROPROCESSING UNIT: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 12 MICROPROCESSING UNIT: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.2.1.2 Graphics Processing Unit
TABLE 13 GRAPHICS PROCESSING UNIT: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 14 GRAPHICS PROCESSING UNIT: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.2.1.3 Field Programmable Gate Arrays
TABLE 15 FIELD PROGRAMMABLE GATE ARRAYS: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 16 FIELD PROGRAMMABLE GATE ARRAYS: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.2.1.4 Other Processors
TABLE 17 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 18 OTHER PROCESSORS: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.2.2 MEMORY
TABLE 19 MEMORY: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 20 MEMORY: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.2.3 NETWORK
TABLE 21 NETWORK: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 22 NETWORK: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.3 SOFTWARE
TABLE 23 MARKET SIZE, BY SOFTWARE, 2015–2020 (USD BILLION)
TABLE 24 MARKET SIZE, BY SOFTWARE, 2021–2026 (USD BILLION)
TABLE 25 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 26 SOFTWARE: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.3.1 APPLICATION PROGRAM INTERFACE
TABLE 27 APPLICATION PROGRAM INTERFACE: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 28 APPLICATION PROGRAM INTERFACE: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.3.2 MACHINE LEARNING FRAMEWORK
TABLE 29 MACHINE LEARNING FRAMEWORK: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 30 MACHINE LEARNING FRAMEWORK: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.4 SERVICES
TABLE 31 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY SERVICE, 2015–2020 (USD BILLION)
TABLE 32 MARKET SIZE, BY SERVICE, 2021–2026 (USD BILLION)
TABLE 33 SERVICES: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 34 SERVICES: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.4.1 DEPLOYMENT AND INTEGRATION
TABLE 35 DEPLOYMENT AND INTEGRATION: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 36 DEPLOYMENT AND INTEGRATION: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
6.4.2 SUPPORT AND MAINTENANCE
TABLE 37 SUPPORT AND MAINTENANCE: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 38 SUPPORT AND MAINTENANCE: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (Page No. - 132)
7.1 INTRODUCTION
7.1.1 TECHNOLOGY: COVID-19 IMPACT
7.1.2 TECHNOLOGY: MARKET DRIVERS
FIGURE 41 MARKET FOR COMPUTER VISION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 39 MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD BILLION)
TABLE 40 MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD BILLION)
7.2 MACHINE LEARNING
TABLE 41 MARKET SIZE, BY MACHINE LEARNING, 2015–2020 (USD BILLION)
TABLE 42 MARKET SIZE, BY MACHINE LEARNING, 2021–2026 (USD BILLION)
TABLE 43 MACHINE LEARNING: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 44 MACHINE LEARNING: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7.2.1 DEEP LEARNING
TABLE 45 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 46 DEEP LEARNING: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7.2.2 SUPERVISED LEARNING
TABLE 47 SUPERVISED LEARNING: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 48 SUPERVISED LEARNING: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7.2.3 UNSUPERVISED LEARNING
TABLE 49 UNSUPERVISED LEARNING: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 50 UNSUPERVISED LEARNING: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7.2.4 REINFORCEMENT LEARNING
TABLE 51 REINFORCEMENT LEARNING: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 52 REINFORCEMENT LEARNING: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7.2.5 OTHER TECHNOLOGY
TABLE 53 OTHER TECHNOLOGY: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 54 OTHER TECHNOLOGY: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7.3 NATURAL LANGUAGE PROCESSING
TABLE 55 NATURAL LANGUAGE PROCESSING: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 56 NATURAL LANGUAGE PROCESSING: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7.4 CONTEXT-AWARE COMPUTING
TABLE 57 CONTEXT-AWARE COMPUTING: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 58 CONTEXT-AWARE COMPUTING: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
7.5 COMPUTER VISION
TABLE 59 COMPUTER VISION: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 60 COMPUTER VISION: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
8 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE (Page No. - 146)
8.1 INTRODUCTION
8.1.1 DEPLOYMENT MODES: COVID-19 IMPACT
8.1.2 DEPLOYMENT MODES: MARKET DRIVERS
FIGURE 42 CLOUD DEPLOYMENT MODE TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 61 MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD BILLION)
TABLE 62 MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD BILLION)
8.2 ON-PREMISES
TABLE 63 ON-PREMISES: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 64 ON-PREMISES: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
8.3 CLOUD
TABLE 65 CLOUD: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 66 CLOUD: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
9 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE (Page No. - 151)
9.1 INTRODUCTION
9.1.1 ORGANIZATION SIZE: COVID-19 IMPACT
9.1.2 ORGANIZATION SIZE: MARKET DRIVERS
FIGURE 43 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 67 MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD BILLION)
TABLE 68 MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD BILLION)
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
TABLE 69 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 70 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
9.3 LARGE ENTERPRISES
TABLE 71 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 72 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
10 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION (Page No. - 156)
10.1 INTRODUCTION
10.1.1 BUSINESS FUNCTIONS: COVID-19 IMPACT
10.1.2 BUSINESS FUNCTIONS: MARKET DRIVERS
FIGURE 44 MARKET FOR LAW BUSINESS FUNCTION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 73 MARKET SIZE, BY BUSINESS FUNCTION, 2015–2020 (USD BILLION)
TABLE 74 MARKET SIZE, BY BUSINESS FUNCTION, 2021–2026 (USD BILLION)
10.2 ARTIFICIAL INTELLIGENCE: ENTERPRISE USE CASES
10.3 FINANCE
TABLE 75 FINANCE: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 76 FINANCE: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
10.3.1 AI IN ACCOUNTING
10.3.2 ARTIFICIAL INTELLIGENCE IN PAYROLL
10.3.3 ARTIFICIAL INTELLIGENCE IN FINANCIAL PLANNING AND ANALYSIS
10.4 SECURITY
TABLE 77 SECURITY: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 78 SECURITY: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
10.4.1 IDENTITY AND ACCESS MANAGEMENT
10.4.2 RISK AND COMPLIANCE MANAGEMENT
10.4.3 ENCRYPTION
10.4.4 DATA LOSS PREVENTION
10.4.5 UNIFIED THREAT MANAGEMENT
10.4.6 ANTIVIRUS/ANTIMALWARE
10.4.7 INTRUSION DETECTION/PREVENTION SYSTEMS
10.4.8 OTHER SECURITY SOLUTIONS
10.5 HUMAN RESOURCES
TABLE 79 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 80 HUMAN RESOURCES: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
10.5.1 VIRTUAL ASSISTANT
10.5.2 APPLICANT TRACKING & ASSESSMENT
10.5.3 PERSONALIZED LEARNING AND DEVELOPMENT
10.5.4 HR ANALYTICS
10.5.5 JOB RECOMMENDATION
10.5.6 SENTIMENT ANALYSIS
10.6 LAW
TABLE 81 LAW: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 82 LAW: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
10.6.1 EDISCOVERY
10.6.2 LEGAL RESEARCH
10.6.3 CONTRACT ANALYSIS
10.6.4 CASE PREDICTION
10.6.5 COMPLIANCE
10.6.6 OTHER APPLICATIONS
10.7 MARKETING AND SALES
TABLE 83 MARKETING AND SALES: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 84 MARKETING AND SALES: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
10.7.1 SOCIAL MEDIA ADVERTISING
10.7.2 SEARCH ADVERTISING
10.7.3 DYNAMIC PRICING
10.7.4 VIRTUAL ASSISTANT
10.7.5 CONTENT CURATION
10.7.6 SALES AND MARKETING AUTOMATION
10.7.7 ANALYTICS PLATFORM
10.7.8 OTHER MARKETING AND SALES SOLUTIONS
10.8 OTHER BUSINESS FUNCTION
TABLE 85 OTHER BUSINESS FUNCTION: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 86 OTHER BUSINESS FUNCTION: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL (Page No. - 173)
11.1 INTRODUCTION
11.1.1 VERTICALS: COVID-19 IMPACT
11.1.2 VERTICALS: MARKET DRIVERS
FIGURE 45 MARKET FOR HEALTHCARE AND LIFE SCIENCES VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 87 MARKET SIZE, BY VERTICAL, 2015–2020 (USD BILLION)
TABLE 88 MARKET SIZE, BY VERTICAL, 2021–2026 (USD BILLION)
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
TABLE 89 BFSI: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 90 BFSI: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11.2.1 ENHANCED CUSTOMER EXPERIENCE
11.2.2 PREDICTION OF FUTURE OUTCOMES AND TRENDS
11.2.3 ROBOTIC AUTOMATION OF PROCESSES
11.2.4 CREDIT DECISIONS
11.3 RETAIL AND ECOMMERCE
TABLE 91 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 92 RETAIL AND ECOMMERCE: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11.3.1 PRODUCT RECOMMENDATION AND PLANNING
11.3.2 CUSTOMER RELATIONSHIP MANAGEMENT
11.3.3 VISUAL SEARCH
11.3.4 VIRTUAL ASSISTANT
11.3.5 PRICE OPTIMIZATION
11.3.6 PAYMENT SERVICES MANAGEMENT
11.3.7 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING
11.3.8 OTHER APPLICATIONS
11.4 AUTOMOTIVE
TABLE 93 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 94 AUTOMOTIVE: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11.4.1 AUTONOMOUS DRIVING
11.4.2 HUMAN-MACHINE INTERFACE
11.4.3 SEMIAUTONOMOUS DRIVING
11.5 GOVERNMENT AND DEFENSE
TABLE 95 GOVERNMENT AND DEFENSE: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 96 GOVERNMENT AND DEFENSE: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11.5.1 CUSTOMER SERVICE CHATBOTS
11.5.2 AUTONOMOUS DRONES
11.5.3 SURVEILLANCE
11.5.4 PREDICTING A CRIME AND RECOMMENDING OPTIMAL POLICE PRESENCE
11.5.5 IDENTIFYING FRAUDULENT BENEFITS CLAIMS
11.6 HEALTHCARE AND LIFESCIENCES
TABLE 97 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 98 HEALTHCARE AND LIFESCIENCES: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11.6.1 PATIENT DATA AND RISK ANALYSIS
11.6.2 LIFESTYLE MANAGEMENT AND MONITORING
11.6.3 PRECISION MEDICINE
11.6.4 INPATIENT CARE AND HOSPITAL MANAGEMENT
11.6.5 MEDICAL IMAGING AND DIAGNOSTICS
11.6.6 DRUG DISCOVERY
11.6.7 VIRTUAL ASSISTANT
11.6.8 WEARABLES
11.6.9 RESEARCH
11.7 TELECOMMUNICATION AND IT
TABLE 99 IT AND TELECOM: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 100 IT AND TELECOM:MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11.7.1 NETWORK OPTIMIZATION
11.7.2 PREDICTIVE MAINTENANCE
11.7.3 VIRTUAL ASSISTANTS FOR CUSTOMER SUPPORT
11.8 ENERGY AND UTILITIES
TABLE 101 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 102 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11.8.1 ENERGY EFFICIENCY DECISION-MAKING
11.8.2 FAULT PREDICTION
11.8.3 ARTIFICIAL INTELLIGENCE IN THE POWER GRID - SMART GRIDS AND SECTOR COUPLING
11.8.4 ARTIFICIAL INTELLIGENCE IN ELECTRICITY TRADING
11.8.5 ARTIFICIAL INTELLIGENCE IN THE VIRTUAL POWER PLANT
11.9 MANUFACTURING
TABLE 103 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 104 MANUFACTURING: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
11.9.1 MATERIAL MOVEMENT
11.9.2 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
11.9.3 PRODUCTION PLANNING
11.9.4 FIELD SERVICES
11.9.5 RECLAMATION
11.9.6 QUALITY CONTROL
11.1 OTHER VERTICALS
TABLE 105 OTHER VERTICALS: MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 106 OTHER VERTICALS: MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
12 ARTIFICIAL INTELLIGENCE MARKET BY REGION (Page No. - 198)
12.1 INTRODUCTION
FIGURE 46 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 47 CHINA TO ACCOUNT FOR THE HIGHEST CAGR DURING FORECAST PERIOD
TABLE 107 MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 108 MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
12.2 NORTH AMERICA
12.2.1 NORTH AMERICA: MARKET DRIVERS
12.2.2 NORTH AMERICA: COVID-19 IMPACT
12.2.3 NORTH AMERICA: REGULATORY IMPLICATIONS
12.2.3.1 Health Insurance Portability and Accountability Act of 1996
12.2.3.2 California Consumer Privacy Act
12.2.3.3 Gramm–Leach–Bliley Act
12.2.3.4 Health Information Technology for Economic and Clinical Health Act
12.2.3.5 Sarbanes Oxley Act
12.2.3.6 United States Securities and Exchange Commission
12.2.3.7 California Consumer Privacy Act
12.2.3.8 Federal Information Security Management Act
12.2.3.9 Federal Information Processing Standards
FIGURE 48 ARTIFICIAL INTELLIGENCE MARKET SNAPSHOT: NORTH AMERICA
TABLE 109 NORTH AMERICA: MARKET SIZE, BY OFFERING, 2015–2020 (USD BILLION)
TABLE 110 NORTH AMERICA: MARKET SIZE, BY OFFERING, 2021–2026 (USD BILLION)
TABLE 111 NORTH AMERICA: MARKET SIZE, BY HARDWARE, 2015–2020 (USD BILLION)
TABLE 112 NORTH AMERICA: MARKET SIZE, BY HARDWARE, 2021–2026 (USD BILLION)
TABLE 113 NORTH AMERICA: MARKET SIZE, BY PROCESSOR, 2015–2020 (USD BILLION)
TABLE 114 NORTH AMERICA: MARKET SIZE, BY PROCESSOR, 2021–2026 (USD BILLION)
TABLE 115 NORTH AMERICA: MARKET SIZE, BY SOFTWARE, 2015–2020 (USD BILLION)
TABLE 116 NORTH AMERICA: MARKET SIZE, BY SOFTWARE, 2021–2026 (USD BILLION)
TABLE 117 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD BILLION)
TABLE 118 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD BILLION)
TABLE 119 NORTH AMERICA: MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD BILLION)
TABLE 120 NORTH AMERICA: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD BILLION)
TABLE 121 NORTH AMERICA:MARKET SIZE, BY MACHINE LEARNING, 2015–2020 (USD BILLION)
TABLE 122 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY MACHINE LEARNING, 2021–2026 (USD BILLION)
TABLE 123 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD BILLION)
TABLE 124 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD BILLION)
TABLE 125 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD BILLION)
TABLE 126 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD BILLION)
TABLE 127 NORTH AMERICA: MARKET SIZE, BY BUSINESS FUNCTION, 2015–2020 (USD BILLION)
TABLE 128 NORTH AMERICA: MARKET SIZE, BY BUSINESS FUNCTION, 2021–2026 (USD BILLION)
TABLE 129 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2015–2020(USD BILLION)
TABLE 130 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD BILLION)
TABLE 131 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD BILLION)
TABLE 132 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD BILLION)
12.2.4 UNITED STATES
12.2.5 CANADA
12.3 EUROPE
12.3.1 EUROPE: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
12.3.2 EUROPE: COVID-19 IMPACT
12.3.3 EUROPE: REGULATIONS
12.3.3.1 European Market Infrastructure Regulation
12.3.3.2 General Data Protection Regulation
12.3.3.3 European Committee for Standardization
12.3.3.4 European Technical Standards Institute
TABLE 133 EUROPE: MARKET SIZE, BY OFFERING, 2015–2020 (USD BILLION)
TABLE 134 EUROPE: MARKET SIZE, BY OFFERING, 2021–2026 (USD BILLION)
TABLE 135 EUROPE: MARKET SIZE, BY HARDWARE, 2015–2020 (USD BILLION)
TABLE 136 EUROPE: MARKET SIZE, BY HARDWARE, 2021–2026 (USD BILLION)
TABLE 137 EUROPE: MARKET SIZE, BY PROCESSOR, 2015–2020 (USD BILLION)
TABLE 138 EUROPE: MARKET SIZE, BY PROCESSOR, 2021–2026 (USD BILLION)
TABLE 139 EUROPE: MARKET SIZE, BY SOFTWARE, 2015–2020 (USD BILLION)
TABLE 140 EUROPE: MARKET SIZE, BY SOFTWARE, 2021–2026 (USD BILLION)
TABLE 141 EUROPE: MARKET SIZE, BY SERVICE, 2015–2020 (USD BILLION)
TABLE 142 EUROPE: MARKET SIZE, BY SERVICE, 2021–2026 (USD BILLION)
TABLE 143 EUROPE: MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD BILLION)
TABLE 144 EUROPE: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD BILLION)
TABLE 145 EUROPE: MARKET SIZE, BY MACHINE LEARNING, 2015–2020 (USD BILLION)
TABLE 146 EUROPE: MARKET SIZE, BY MACHINE LEARNING, 2021–2026 (USD BILLION)
TABLE 147 EUROPE: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD BILLION)
TABLE 148 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD BILLION)
TABLE 149 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD BILLION)
TABLE 150 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD BILLION)
TABLE 151 EUROPE: MARKET SIZE, BY BUSINESS FUNCTION, 2015–2020 (USD BILLION)
TABLE 152 EUROPE: MARKET SIZE, BY BUSINESS FUNCTION, 2021–2026 (USD BILLION)
TABLE 153 EUROPE: MARKET SIZE, BY VERTICAL, 2015–2020 (USD BILLION)
TABLE 154 EUROPE: MARKET SIZE, BY VERTICAL, 2021–2026 (USD BILLION)
TABLE 155 EUROPE: MARKET SIZE, BY COUNTRY, 2015–2020 (USD BILLION)
TABLE 156 EUROPE: MARKET SIZE, BY COUNTRY, 2021–2026 (USD BILLION)
12.3.4 UNITED KINGDOM
12.3.5 GERMANY
12.3.6 FRANCE
12.3.7 ITALY
12.3.8 SPAIN
12.3.9 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
12.4.2 ASIA PACIFIC: COVID-19 IMPACT
12.4.3 ASIA PACIFIC: REGULATIONS
12.4.3.1 Privacy Commissioner for Personal Data
12.4.3.2 Act on the Protection of Personal Information
12.4.3.3 Critical Information Infrastructure
12.4.3.4 International Organization for Standardization 27001
12.4.3.5 Personal Data Protection Act
FIGURE 49 MARKET SNAPSHOT: ASIA PACIFIC
TABLE 157 ASIA PACIFIC: MARKET SIZE, BY OFFERING, 2015–2020 (USD BILLION)
TABLE 158 ASIA PACIFIC: MARKET SIZE, BY OFFERING, 2021–2026 (USD BILLION)
TABLE 159 ASIA PACIFIC: MARKET SIZE, BY HARDWARE, 2015–2020 (USD BILLION)
TABLE 160 ASIA PACIFIC: MARKET SIZE, BY HARDWARE, 2021–2026 (USD BILLION)
TABLE 161 ASIA PACIFIC: MARKET SIZE, BY PROCESSOR, 2015–2020 (USD BILLION)
TABLE 162 ASIA PACIFIC: MARKET SIZE, BY PROCESSOR, 2021–2026 (USD BILLION)
TABLE 163 ASIA PACIFIC: MARKET SIZE, BY SOFTWARE, 2015–2020 (USD BILLION)
TABLE 164 ASIA PACIFIC: MARKET SIZE, BY SOFTWARE, 2021–2026 (USD BILLION)
TABLE 165 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2015–2020 (USD BILLION)
TABLE 166 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2021–2026 (USD BILLION)
TABLE 167 ASIA PACIFIC: MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD BILLION)
TABLE 168 ASIA PACIFIC: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD BILLION)
TABLE 169 ASIA PACIFIC: MARKET SIZE, BY MACHINE LEARNING, 2015–2020 (USD BILLION)
TABLE 170 ASIA PACIFIC: MARKET SIZE, BY MACHINE LEARNING, 2021–2026 (USD BILLION)
TABLE 171 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD BILLION)
TABLE 172 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD BILLION)
TABLE 173 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD BILLION)
TABLE 174 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD BILLION)
TABLE 175 ASIA PACIFIC: MARKET SIZE, BY BUSINESS FUNCTION, 2015–2020 (USD BILLION)
TABLE 176 ASIA PACIFIC: MARKET SIZE, BY BUSINESS FUNCTION, 2021–2026 (USD BILLION)
TABLE 177 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2015–2020(USD BILLION)
TABLE 178 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2021–2026 (USD BILLION)
TABLE 179 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2015–2020 (USD BILLION)
TABLE 180 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2021–2026 (USD BILLION)
12.4.4 CHINA
12.4.5 JAPAN
12.4.6 SOUTH KOREA
12.4.7 INDIA
12.4.8 REST OF ASIA PACIFIC
12.5 MIDDLE EAST AND AFRICA
12.5.1 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
12.5.2 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
12.5.3 MIDDLE EAST AND AFRICA: REGULATIONS
12.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
12.5.3.2 Cloud Computing Framework
12.5.3.3 GDPR Applicability in the Kingdom of Saudi Arabia (KSA)
12.5.3.4 Protection of Personal Information Act
12.5.3.5 Protection of Personal Information (POPI) Act
TABLE 181 MIDDLE EAST AND AFRICA: MARKET SIZE, BY OFFERING, 2015–2020 (USD BILLION)
TABLE 182 MIDDLE EAST AND AFRICA: MARKET SIZE, BY OFFERING, 2021–2026 (USD BILLION)
TABLE 183 MIDDLE EAST AND AFRICA: MARKET SIZE, BY HARDWARE, 2015–2020 (USD BILLION)
TABLE 184 MIDDLE EAST AND AFRICA: MARKET SIZE, BY HARDWARE, 2021–2026 (USD BILLION)
TABLE 185 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROCESSOR, 2015–2020 (USD BILLION)
TABLE 186 MIDDLE EAST AND AFRICA: MARKET SIZE, BY PROCESSOR, 2021–2026 (USD BILLION)
TABLE 187 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SOFTWARE, 2015–2020 (USD BILLION)
TABLE 188 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SOFTWARE, 2021–2026 (USD BILLION)
TABLE 189 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD BILLION)
TABLE 190 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD BILLION)
TABLE 191 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD BILLION)
TABLE 192 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD BILLION)
TABLE 193 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY MACHINE LEARNING, 2015–2020 (USD BILLION)
TABLE 194 MIDDLE EAST AND AFRICA: MARKET SIZE, BY MACHINE LEARNING, 2021–2026 (USD BILLION)
TABLE 195 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD BILLION)
TABLE 196 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD BILLION)
TABLE 197 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD BILLION)
TABLE 198 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD BILLION)
TABLE 199 MIDDLE EAST AND AFRICA: MARKET SIZE, BY BUSINESS FUNCTION, 2015–2020 (USD BILLION)
TABLE 200 MIDDLE EAST AND AFRICA: MARKET SIZE, BY BUSINESS FUNCTION, 2021–2026 (USD BILLION)
TABLE 201 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2015–2020(USD BILLION)
TABLE 202 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD BILLION)
TABLE 203 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD BILLION)
TABLE 204 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD BILLION)
12.5.4 KINGDOM OF SAUDI ARABIA
12.5.5 UNITED ARAB EMIRATES
12.5.6 SOUTH AFRICA
12.5.7 REST OF MIDDLE EAST AND AFRICA
12.6 LATIN AMERICA
12.6.1 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
12.6.2 LATIN AMERICA: COVID-19 IMPACT
12.6.3 LATIN AMERICA: REGULATIONS
12.6.3.1 Brazil Data Protection Law
12.6.3.2 Federal Law on Protection of Personal Data Held by Individuals
TABLE 205 LATIN AMERICA: MARKET SIZE, BY OFFERING, 2015–2020 (USD BILLION)
TABLE 206 LATIN AMERICA: MARKET SIZE, BY OFFERING, 2021–2026 (USD BILLION)
TABLE 207 LATIN AMERICA: MARKET SIZE, BY HARDWARE, 2015–2020 (USD BILLION)
TABLE 208 LATIN AMERICA: MARKET SIZE, BY HARDWARE, 2021–2026 (USD BILLION)
TABLE 209 LATIN AMERICA: MARKET SIZE, BY PROCESSOR, 2015–2020 (USD BILLION)
TABLE 210 LATIN AMERICA: MARKET SIZE, BY PROCESSOR, 2021–2026 (USD BILLION)
TABLE 211 LATIN AMERICA: MARKET SIZE, BY SOFTWARE, 2015–2020 (USD BILLION)
TABLE 212 LATIN AMERICA: MARKET SIZE, BY SOFTWARE, 2021–2026 (USD BILLION)
TABLE 213 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD BILLION)
TABLE 214 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD BILLION)
TABLE 215 LATIN AMERICA: MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD BILLION)
TABLE 216 LATIN AMERICA: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD BILLION)
TABLE 217 LATIN AMERICA: MARKET SIZE, BY MACHINE LEARNING, 2015–2020 (USD BILLION)
TABLE 218 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET SIZE, BY MACHINE LEARNING, 2021–2026 (USD BILLION)
TABLE 219 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD BILLION)
TABLE 220 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD BILLION)
TABLE 221 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD BILLION)
TABLE 222 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD BILLION)
TABLE 223 LATIN AMERICA: MARKET SIZE, BY BUSINESS FUNCTION, 2015–2020 (USD BILLION)
TABLE 224 LATIN AMERICA: MARKET SIZE, BY BUSINESS FUNCTION, 2021–2026 (USD BILLION)
TABLE 225 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2015–2020(USD BILLION)
TABLE 226 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD BILLION)
TABLE 227 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD BILLION)
TABLE 228 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD BILLION)
12.6.4 BRAZIL
12.6.5 MEXICO
12.6.6 REST OF LATIN AMERICA
13 COMPETITIVE LANDSCAPE (Page No. - 265)
13.1 OVERVIEW
13.2 MARKET SHARE ANALYSIS
TABLE 229 AI MARKET: DEGREE OF COMPETITION
13.3 COMPANY EVALUATION QUADRANT
13.3.1 COMPANY EVALUATION MATRIX: DEFINITIONS AND METHODOLOGY
13.3.2 STARS
13.3.3 EMERGING LEADERS
13.3.4 PERVASIVE PLAYERS
13.3.5 PARTICIPANTS
FIGURE 50 KEY AI MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2020
13.4 MARKET SHARE/RANK
FIGURE 51 RANKING OF KEY PLAYERS, 2021
13.5 PRODUCT FOOTPRINT
TABLE 230 COMPANY PRODUCT FOOTPRINT
TABLE 231 COMPANY BUSINESS FUNCTION FOOTPRINT
TABLE 232 COMPANY INDUSTRY FOOTPRINT
TABLE 233 COMPANY REGION FOOTPRINT
13.6 STARTUP/SME EVALUATION MATRIX, 2020
13.6.1 PROGRESSIVE COMPANIES
13.6.2 RESPONSIVE COMPANIES
13.6.3 DYNAMIC COMPANIES
13.6.4 STARTING BLOCKS
FIGURE 52 STARTUP/SME AI MARKET EVALUATION MATRIX, 2020
13.7 COMPETITIVE SCENARIO
13.7.1 PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS
TABLE 234 PRODUCT LAUNCHES, 2018–2021
13.7.2 DEALS
TABLE 235 DEALS, 2018–2021
13.7.3 OTHERS
TABLE 236 OTHERS, 2018–2021
14 COMPANY PROFILES (Page No. - 279)
14.1 INTRODUCTION
(Business Overview, Products, Solutions & Services, Key Insights, Recent Developments, MnM View)*
14.2 KEY PLAYERS
14.2.1 GOOGLE
TABLE 237 GOOGLE: BUSINESS AND FINANCIAL OVERVIEW
FIGURE 53 GOOGLE: COMPANY SNAPSHOT
TABLE 238 GOOGLE: PRODUCTS OFFERED
14.2.2 MICROSOFT
TABLE 239 MICROSOFT: BUSINESS AND FINANCIAL OVERVIEW
FIGURE 54 MICROSOFT: COMPANY SNAPSHOT
TABLE 240 MICROSOFT: SOLUTIONS OFFERED
14.2.3 IBM
TABLE 241 IBM: BUSINESS OVERVIEW
FIGURE 55 IBM: COMPANY SNAPSHOT
TABLE 242 IBM: PRODUCTS OFFERED
14.2.4 INTEL
TABLE 243 INTEL: BUSINESS OVERVIEW
FIGURE 56 INTEL: COMPANY SNAPSHOT
TABLE 244 INTEL: PRODUCTS OFFERED
14.2.5 BAIDU
TABLE 245 BAIDU: BUSINESS OVERVIEW
FIGURE 57 BAIDU: COMPANY SNAPSHOT
TABLE 246 BAIDU: PRODUCTS OFFERED
14.2.6 ALIBABA CLOUD
TABLE 247 ALIBABA CLOUD: BUSINESS OVERVIEW
TABLE 248 ALIBABA CLOUD: PRODUCTS OFFERED
14.2.7 IFLYTEK
TABLE 249 IFLYTEK: BUSINESS OVERVIEW
TABLE 250 IFLYTEK: PRODUCTS OFFERED
14.2.8 ORACLE
TABLE 251 ORACLE: BUSINESS OVERVIEW
FIGURE 58 ORACLE: COMPANY SNAPSHOT
TABLE 252 ORACLE: SOLUTIONS OFFERED
14.2.9 AMAZON WEB SERVICES
TABLE 253 AMAZON WEB SERVICES: BUSINESS OVERVIEW
TABLE 254 AMAZON WEB SERVICES: SOLUTIONS OFFERED
14.2.10 SALESFORCE
TABLE 255 SALESFORCE: BUSINESS OVERVIEW
FIGURE 59 SALESFORCE: COMPANY SNAPSHOT
TABLE 256 SALESFORCE: SOLUTIONS OFFERED
14.2.11 SAP
TABLE 257 SAP: BUSINESS OVERVIEW
FIGURE 60 SAP: COMPANY SNAPSHOT
TABLE 258 SAP: SOLUTIONS OFFERED
14.2.12 SAS INSTITUTE
TABLE 259 SAS INSTITUTE: BUSINESS OVERVIEW
FIGURE 61 SAS INSTITUTE: COMPANY SNAPSHOT
TABLE 260 SAS INSTITUTE: PRODUCTS OFFERED
14.2.13 CISCO
TABLE 261 CISCO: BUSINESS OVERVIEW
FIGURE 62 CISCO: COMPANY SNAPSHOT
TABLE 262 CISCO: SOLUTIONS OFFERED
14.2.14 FACEBOOK
TABLE 263 FACEBOOK: BUSINESS OVERVIEW
FIGURE 63 FACEBOOK: COMPANY SNAPSHOT
TABLE 264 FACEBOOK: SOLUTIONS OFFERED
14.2.15 SAMSUNG
TABLE 265 SAMSUNG: BUSINESS OVERVIEW
FIGURE 64 SAMSUNG: COMPANY SNAPSHOT
TABLE 266 SAMSUNG: SOLUTIONS OFFERED
14.2.16 HPE
TABLE 267 HPE: BUSINESS OVERVIEW
FIGURE 65 HPE: COMPANY SNAPSHOT
14.2.17 SIEMENS
TABLE 268 SIEMENS: BUSINESS OVERVIEW
FIGURE 66 SIEMENS: COMPANY SNAPSHOT
TABLE 269 SIEMENS: SOLUTIONS OFFERED
14.2.18 HUAWEI
TABLE 270 HUAWEI: BUSINESS OVERVIEW
FIGURE 67 HUAWEI: COMPANY SNAPSHOT
TABLE 271 HUAWEI: PRODUCTS AND SERVICES OFFERED
14.2.19 NVIDIA
TABLE 272 NVIDIA: BUSINESS OVERVIEW
FIGURE 68 NVIDIA: COMPANY SNAPSHOT
TABLE 273 NVIDIA: PRODUCTS AND SERVICES OFFERED
14.2.20 GENERAL VISION
14.2.21 MELLANOX TECHNOLOGIES
14.2.22 DARKTRACE
14.2.23 CYLANCE
14.2.24 DIDI CHUXING
14.2.25 FACE++
14.2.26 INBENTA
14.2.27 ZEPHYR HEALTH
14.2.28 BUTTERFLY NETWORK
14.2.29 ATOMWISE
14.2.30 VICARIOUS
14.2.31 AIBRAIN
14.2.32 WAVE COMPUTING
14.2.33 ADAPTEVA
14.2.34 KONIKU
14.2.35 KNUEDGE
14.2.36 SK HYNIX
14.2.37 PROGRESS DATARPM
14.2.38 PRECISION HAWK
14.2.39 AGRIBOTIX
14.2.40 NEURALA
14.2.41 SENTIENT TECHNOLOGIES
14.2.42 TWITTER
14.2.43 INSIDESALES
14.2.44 PERSADO
14.2.45 MARIANA
14.2.46 DRAWBRIDGE
14.2.47 NARRATIVE SCIENCE
14.2.48 APPIER
14.2.49 GUMGUM
14.2.50 ZYLAB
*Details on Business Overview, Solutions, Products & Services, Key Insights, Recent Developments, MnM View might not be captured in case of unlisted companies.
14.3 OTHER PLAYERS
14.3.1 GRAPHCORE
14.3.2 ZOOX
14.3.3 PREFERRED NETWORK
14.3.4 ZENSED
14.3.5 APPLIED BRAIN RESEARCH
14.3.6 PILOT AI LABS
14.3.7 IRIS AUTOMATION
14.3.8 GAMAYA
14.3.9 EC2CE
14.3.10 DESCARTES LABS
14.3.11 MYTHIC
15 ADJACENT AND RELATED MARKETS (Page No. - 398)
15.1 ADJACENT AND RELATED MARKETS
15.1.1 INTRODUCTION
15.1.2 NATURAL LANGUAGE PROCESSING MARKET—GLOBAL FORECAST TO 2026
15.1.2.1 Market definition
15.1.2.2 Market overview
15.1.2.2.1 Natural language processing market, by component
TABLE 274 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
TABLE 275 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
15.1.2.2.2 Natural language processing market, by solution type
TABLE 276 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY SOLUTION TYPE, 2015–2019 (USD MILLION)
TABLE 277 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY SOLUTION TYPE, 2019–2026 (USD MILLION)
15.1.2.2.3 Natural language processing market, by deployment mode
TABLE 278 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
TABLE 279 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
15.1.2.2.4 Natural language processing market, by organization size
TABLE 280 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
TABLE 281 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
15.1.2.2.5 Natural language processing market, by type
TABLE 282 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
TABLE 283 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
15.1.2.2.6 Natural language processing market, by application
TABLE 284 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
TABLE 285 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
15.1.2.2.7 Natural language processing market, by vertical
TABLE 286 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
TABLE 287 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
15.1.2.2.8 Natural language processing market, by region
TABLE 288 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
TABLE 289 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
TABLE 290 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 291 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
TABLE 292 EUROPE: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 293 EUROPE: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
TABLE 294 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 295 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
TABLE 296 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 297 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
TABLE 298 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
TABLE 299 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
15.1.3 CONVERSATIONAL AI MARKET—GLOBAL FORECAST TO 2025
15.1.3.1 Market definition
15.1.3.2 Market overview
15.1.3.2.1 Conversational AI market, by component
TABLE 300 CONVERSATIONAL AI MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
TABLE 301 CONVERSATIONAL AI MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION)
15.1.3.2.2 Conversational AI market, by type
TABLE 302 CONVERSATIONAL AI MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
15.1.3.2.3 Conversational AI market, by technology
TABLE 303 CONVERSATIONAL AI MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
15.1.3.2.4 Conversational AI market, by deployment mode
TABLE 304 CONVERSATIONAL AI MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
15.1.3.2.5 Conversational AI market, by application
TABLE 305 CONVERSATIONAL AI MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
15.1.3.2.6 Conversational AI market, by vertical
TABLE 306 CONVERSATIONAL AI MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
15.1.3.2.7 Conversational AI market, by region
TABLE 307 CONVERSATIONAL AI MARKET SIZE, BY REGION, 2019–2025 (USD MILLION)
TABLE 308 NORTH AMERICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 309 EUROPE: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 310 ASIA PACIFIC: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 311 MIDDLE EAST AND AFRICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
TABLE 312 LATIN AMERICA: CONVERSATIONAL AI MARKET SIZE, BY COUNTRY, 2019–2025 (USD MILLION)
16 APPENDIX (Page No. - 417)
16.1 DISCUSSION GUIDE
16.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
16.3 AVAILABLE CUSTOMIZATIONS
16.4 RELATED REPORTS
16.5 AUTHOR DETAILS
The study involved four major activities in estimating the current market size of the Artificial Intelligence Market. Extensive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the Artificial Intelligence Market.
Secondary Research
In the secondary research process, various sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.
Primary Research
Various primary sources from both 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 X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from Artificial Intelligence solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
The following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the Artificial Intelligence Market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the market. The bottom-up approach was used to arrive at the overall market size of the global Artificial Intelligence market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:
- The key players in the market were identified through extensive secondary research.
- The market size, in terms of value, was determined through primary and secondary research processes.
- All percentages, shares, and breakups were determined using secondary sources and verified through primary sources.
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 forecast the artificial intelligence market by offering (hardware, software, and services), services (deployment and integration and support and maintenance), technology, business function, deployment mode, organization size, vertical, and region
- To provide detailed information regarding the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the artificial intelligence market
- To analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the total market
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the artificial intelligence market
- To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and Latin America
- To profile the key players of the artificial intelligence market and comprehensively analyze their market shares and core competencies
- To track and analyze competitive developments, such as new product launches, mergers & acquisitions, and partnerships, agreements, and collaborations in the artificial intelligence market
- To analyze the impact of the COVID-19 pandemic on the artificial intelligence 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 reportProduct analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic analysis
- Further breakup of the North American Artificial Intelligence market
- Further breakup of the European market
- Further breakup of the APAC market
- Further breakup of the Latin American market
- Further breakup of the MEA market
Company information
- Detailed analysis and profiling of additional market players up to 5
Get in-depth analysis of the COVID-19 impact on the Artificial Intelligence Market
Benchmarking the rapid strategy shifts of the Top 100 companies in the Artificial Intelligence Market
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Growth opportunities and latent adjacency in Artificial Intelligence Market
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