Artificial Intelligence Market

Artificial Intelligence Market

Artificial Intelligence Market Forecasts to 2028 - Global Analysis By Solution (Software, Hardware, Services, Other Solutions), System (Decision Support Processing, Fuzzy Systems, Intelligence Systems, Hybrid Systems, Other Systems) and Others

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4.7 (16 reviews)
Published: 2023 ID: SMRC22266

This report covers the impact of COVID-19 on this global market

Years Covered


Estimated Year Value (2022)

US $118.22 BN

Projected Year Value (2028)

US $505.51 BN

CAGR (2022 - 2028)


Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

Asia Pacific

Highest Growing Market

North America


According to Stratistics MRC, the Global Artificial Intelligence Market is accounted for $118.22 billion in 2022 and is expected to reach $505.51 billion by 2028 growing at a CAGR of 27.4% during the forecast period. Artificial intelligence (AI) is a simulation of human intelligence by devices that uses algorithms to automate and carry out tasks that are typically performed by humans. Although AI is a multidisciplinary discipline with many different techniques, developments in machine learning and deep learning have caused a paradigm change in almost all tech sectors.

According to the Cisco Internet Report, total devices connected to the Internet stood at 18.4 billion in 2018, which is projected to reach 29.3 billion by 2023, thereby enabling effective information/data collection. According to March 2021 report by European Parliament, the volume of data produced across the globe is anticipated to reach 175 zettabytes in 2025 from 33 zettabytes in 2018.

Market Dynamics:


Growing adoption of AI by banks

The rising application of AI by banks is expected to support the expansion of the artificial intelligence market. The three major areas where artificial intelligence might very well help banks save money are the front office, middle office, and back office. On the front end, banks are using AI to simplify client identification and verification, augment human personnel and via chat bots but instead voice assistants, strengthen customer relationships, and provide personalised insights and recommendations. Banks are also implementing artificial intelligence (AI) in middle-office tasks to identify and avoid disbursement fraud, in addition to strengthen generally pro laundering (AML) and understand (KYC) regulatory checks.


High Initial cost of setting up AI in a system or product

AI-based system development takes a long time, a lot of resources, a skilled workforce, and a lot of money. AI-based system development necessitates the use of latest update hardware and software. It also necessitates highly skilled AI/ML engineers, who command a high salary. The overarching production cost is still quite high and therefore not affordable for everyone.


Rapid penetration of the digital technologies and internet

The recent expansion of the global artificial intelligence industry has been considerably aided by the quick uptake of digital technologies and the internet. The massive research and development expenditures made by the IT behemoths are continually accelerating technical development across a wide range of businesses. The growing demand for artificial technology across a range of end-use industries, including manufacturing, banking & finance, healthcare, automotive, food & beverage, retail, and logistics, is anticipated to significantly fuel the rise of the global artificial intelligence market in the years to come. The majority of sectors have traditionally placed a high priority on technological advancements.


Limitations in Protecting Privacy

With different algorithms and concerns over data privacy, the market is probably going to struggle. To give users relevant results, the system makes advantage of deep and machine learning capabilities. These technologies, which include algorithms, recommendation systems, and adtech networks, may use the user's private information for their own purposes. Furthermore, without the user's permission, artificial intelligence algorithms generate new information based on historical data. This will probably reduce consumer demand for the technology.

Covid-19 Impact

Since its emergence, COVID-19, a new strain of virus, has been dispersing at an alarming rate. Due to the lack of a human COVID vaccine or treatment, patients received a variety of treatments based on their symptoms, which finally allowed for the straightforward treatment of numerous individuals with similar symptoms. In collaboration with the government, hospitals use artificial intelligence to separate data, keep track of patients and the medications and treatments they receive, as well as other factors and geographic conditions that may affect them, in order to maintain an inventory of the general population and COVID patients.

The software segment is expected to be the largest during the forecast period

The software segment is estimated to have a lucrative growth, due to high computing power, equidistant processing potential, and sensible advancements in information storage capacity are all responsible for the high percentage. Additionally, this sector was positioned to capture the largest market share due to its capacity to eliminate data, provide real-time insights, and aid in decision-making. Over the forecast period, artificial intelligence software is expected to become more popular as businesses become more dependent on the ability to perceive and analyse visual input in order to derive insightful conclusions.

The Healthcare segment is expected to have the highest CAGR during the forecast period

The Healthcare segment is anticipated to witness the fastest CAGR growth during the forecast period, due to the expanding databases of digital patient health information, rising demand for tailored therapy, and rising interest in cutting healthcare costs. Enhanced hardware and technology capabilities for computational applications have made AI commercially available. Furthermore, applying AI for improved analytical purposes was made possible by the healthcare industry's rapid expansion and availability of created data.

Region with highest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to increasing their AI investments. This shift in preferences in favour of technology has made room for market growth in the area. Additionally, the growing start-up businesses that are thriving thanks to the implementation of AI have increased operational effectiveness and automated processes. The development of technology has benefited the region's developing economies. As a result, the area has left plenty of room is for AI market to flourish during the projection period.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period, owing to robust innovation ecosystem, which is supported by strategic federal investments in cutting-edge technology. Visionary scientists and entrepreneurs from around the world have also congregated here, along with renowned research institutions. A favourable climate for the market to boom in the area has been established by government initiatives and the accessibility of developed resources. As a result of the increase in initiatives, the government agencies increased public confidence in AI-based systems by allowing them to follow specific specified rules for the advancement and practical applications of AI in various fields.

Key players in the market

Some of the key players profiled in the Artificial Intelligence Market include Oracle Corporation, Amazon Web Services, Inc., Intel Corporation, SAP SE, Apple Inc., Microsoft Corporation, Baidu, Inc., Clarifai, Inc., Fair Isaac Corporation (FICO), IBM Corporation, Nvidia, Google LLC, HyperVerge, Inc., BigML.

Key Developments:

In July 2022, Intel launched the first set of open-source AI reference kits specifically developed to make AI more accessible to organizations in on-premise, cloud, and edge environments. These kits could allow data scientists and developers to learn how to deploy AI faster and more easily across manufacturing, healthcare, retail, and other industries with higher accuracy, better performance, and lower total cost of implementation.

In December 2019, Intel Corporation finished the acquisition of Habana Labs Ltd. The acquisition is anticipated to reinforce Intel Corporation's AI portfolio and push its efforts in the AI silicon market.

Solutions Covered:
• Software
• Hardware
• Services
• Other Solutions

Systems Covered:
• Decision Support Processing
• Fuzzy Systems
• Intelligence Systems
• Hybrid Systems
• Other Systems

Technologies Covered:
• Machine Vision
• Deep Learning
• Natural Language Processing (NLP)
• Machine Learning
• Other Technologies

End Users Covered:
• Banking, Financial Services and Insurance (BFSI)
• Retail
• Agriculture
• Law
• Healthcare
• Automotive & Transportation
• Manufacturing
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Artificial Intelligence Market, By Solution
5.1 Introduction
5.2 Software
5.3 Hardware
5.4 Services
5.5 Other Solutions

6 Global Artificial Intelligence Market, By System
6.1 Introduction
6.2 Decision Support Processing
6.3 Fuzzy Systems
6.4 Intelligence Systems
6.5 Hybrid Systems
6.6 Other Systems

7 Global Artificial Intelligence Market, By Technology
7.1 Introduction
7.2 Machine Vision
7.3 Deep Learning
7.4 Natural Language Processing (NLP)
7.5 Machine Learning
7.6 Other Technologies

8 Global Artificial Intelligence Market, By End User
8.1 Introduction
8.2 Banking, Financial Services and Insurance (BFSI)
8.2.1 Investment/Portfolio Management
8.2.2 Risk Assessment
8.2.3 Financial Analysis/Research
8.3 Retail
8.4 Agriculture
8.5 Law
8.6 Healthcare
8.6.1 Preliminary Diagnosis
8.6.2 Robot Assisted Surgery
8.6.3 Hospital Workflow Management
8.6.4 Dosage Error Reduction
8.6.5 Virtual Nursing Assistants
8.6.6 Automated Image Diagnosis
8.6.7 Clinical Trial Participant Identifier
8.7 Automotive & Transportation
8.8 Manufacturing
8.9 Other End Users

9 Global Artificial Intelligence Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa

10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies

11 Company Profiling
11.1 Oracle Corporation
11.2 Amazon Web Services, Inc.
11.3 Intel Corporation
11.4 SAP SE
11.5 Apple Inc.
11.6 Microsoft Corporation
11.7 Baidu, Inc.
11.8 Clarifai, Inc.
11.9 Fair Isaac Corporation (FICO)
11.10 IBM Corporation
11.11 Nvidia
11.12 Google LLC
11.13 HyperVerge, Inc.
11.14 BigML

List of Tables
1 Global Artificial Intelligence Market Outlook, By Region (2020-2028) ($MN)
2 Global Artificial Intelligence Market Outlook, By Solution (2020-2028) ($MN)
3 Global Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
4 Global Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
5 Global Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
6 Global Artificial Intelligence Market Outlook, By Other Solutions (2020-2028) ($MN)
7 Global Artificial Intelligence Market Outlook, By System (2020-2028) ($MN)
8 Global Artificial Intelligence Market Outlook, By Decision Support Processing (2020-2028) ($MN)
9 Global Artificial Intelligence Market Outlook, By Fuzzy Systems (2020-2028) ($MN)
10 Global Artificial Intelligence Market Outlook, By Intelligence Systems (2020-2028) ($MN)
11 Global Artificial Intelligence Market Outlook, By Hybrid Systems (2020-2028) ($MN)
12 Global Artificial Intelligence Market Outlook, By Other Systems (2020-2028) ($MN)
13 Global Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
14 Global Artificial Intelligence Market Outlook, By Machine Vision (2020-2028) ($MN)
15 Global Artificial Intelligence Market Outlook, By Deep Learning (2020-2028) ($MN)
16 Global Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
17 Global Artificial Intelligence Market Outlook, By Machine Learning (2020-2028) ($MN)
18 Global Artificial Intelligence Market Outlook, By Other Technologies (2020-2028) ($MN)
19 Global Artificial Intelligence Market Outlook, By End User (2020-2028) ($MN)
20 Global Artificial Intelligence Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
21 Global Artificial Intelligence Market Outlook, By Investment/Portfolio Management (2020-2028) ($MN)
22 Global Artificial Intelligence Market Outlook, By Risk Assessment (2020-2028) ($MN)
23 Global Artificial Intelligence Market Outlook, By Financial Analysis/Research (2020-2028) ($MN)
24 Global Artificial Intelligence Market Outlook, By Retail (2020-2028) ($MN)
25 Global Artificial Intelligence Market Outlook, By Agriculture (2020-2028) ($MN)
26 Global Artificial Intelligence Market Outlook, By Law (2020-2028) ($MN)
27 Global Artificial Intelligence Market Outlook, By Healthcare (2020-2028) ($MN)
28 Global Artificial Intelligence Market Outlook, By Preliminary Diagnosis (2020-2028) ($MN)
29 Global Artificial Intelligence Market Outlook, By Robot Assisted Surgery (2020-2028) ($MN)
30 Global Artificial Intelligence Market Outlook, By Hospital Workflow Management (2020-2028) ($MN)
31 Global Artificial Intelligence Market Outlook, By Dosage Error Reduction (2020-2028) ($MN)
32 Global Artificial Intelligence Market Outlook, By Virtual Nursing Assistants (2020-2028) ($MN)
33 Global Artificial Intelligence Market Outlook, By Automated Image Diagnosis (2020-2028) ($MN)
34 Global Artificial Intelligence Market Outlook, By Clinical Trial Participant Identifier (2020-2028) ($MN)
35 Global Artificial Intelligence Market Outlook, By Automotive & Transportation (2020-2028) ($MN)
36 Global Artificial Intelligence Market Outlook, By Manufacturing (2020-2028) ($MN)
37 Global Artificial Intelligence Market Outlook, By Other End Users (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.

Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.

For more details about research methodology, kindly write to us at

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