image

Report Scope & Overview

The Artificial Intelligence (AI) Market size was valued at USD 86 billion in 2022 and is expected to reach at USD 1006 billion by 2030, and grow at a CAGR of 36 % over the forecast period of 2023-2030.

Artificial intelligence (AI) is known as the approach to the modern solutions which helps any organization to reduce the human efforts as well as helps to seek efficiency and productivity without consuming more time, if we closely observe many of the company who are the giant players in technology, has claimed that the demand  for the AI in every industry is growing rapidly, If we get into the technicality the basic approach of the company behind building the AI technology is to innovate tools which can perform like humans and can think like humans. With the rising adaptability factor of the AI in every industry the market seems to have a lot of potential to grow during the forecasted period, when we closely analyzed the interviews of several board of directors of various industries we got to know about the dependency of AI in their area of business and as a matter of fact it cannot be denied that the major activities of the industries can be done with the implementation of the AI.

Artificial Intelligence Market Revenue Analysis

To get more information on Artificial Intelligence (AI) Market - Request Sample Report

Machine Learning (ML) can be considered as the subsection of the AI where the machines are been organized in several algorithms and it performs accordingly, the latest development related to the launch of ChatGPT 4, according to the sources when the chat GPT was launched it gained 100 million users in just a month which shows the adaptability and the growth rate, the rising investments by the government and the private organization in order to make changes in the current systems and implementing the AI seems to be the most influential factor for every market. When we particularly focus on the major industries like healthcare, automotive the acceptance of the AI is done on a large scale, considering the healthcare industry the AI in healthcare had raise several questions related to will it perform the duties like how humans do, the chances of errors because of technical issues can affect the health of the  patients  and so forth but with the technical experts and testing of the AI tools it proved to be the most effective tool in the healthcare industry, with the help of the AI in healthcare  the data sets can be managed, the use of the AI for the disease detection and diagnosis which can benefit the patients and the doctors and also for the diagnosis of the disease. The AI in cancer is the next booming thing for the healthcare center as the rising number of cancer patients in the developed and the undeveloped region is contributing to the growth of the particular market but the factors like high-cost lack of infrastructure required for the development of the AI will cause barriers for the growth of the AI market in the undeveloped regions.

Impact of Covid-19:

Covid 19 had a positive effect on the market as we discussed the benefits associated with the AI, also the fact that pandemic had a negative effect on almost every industry, according to WHO the implementation of the AI by the healthcare professional during the pandemic was done because of the high demand as the pandemic led to lack of healthcare staff because of the rising number of patients and lack of the testing kits difficult in managing data sets raised the demand off the AI implementation in the healthcare industry, during covid 19 there were major concerns which were related to the high inflation rates and the production cost which will surely affect the financial performance of the companies which are dealing in several industry.

Market Dynamics:

The rising awareness of the AI in every industry is considered as the driving factor for the market, when we mention every industry board of directors has claimed that the use of the AI will be the major factor for the organization to earn competitive advantage, there has been rise in the investments by the organizations regarding AI and the eagerness to implement AI in the operational process, as we mentioned earlier the use of the AI help to reduce human error, increase the productivity and save time and all the mentioned positive factors is the reason why the demand for the AI is high, the goal of the company is to reduce the production cost as the high inflation rates and the economic disruption because of the global disruptions has discourage the company and has affected the financial performance of the company and that is the reason the demand for the AI is increasing, and looking at the demand for AI the key players and the emerging players has certainly taken the initiative of developing the AI tools which is impacting the market positively and will keep doing during the forecasted period as well. There are major drawbacks related to the market which will may act as a challenge in the future some of the major drawbacks are related to the high cost which are associated with the AI as the emerging and the undeveloped countries also the organizations will face issues related to changes in the investment and development of the infrastructure and so forth another challenging aspect for the AI market in the future will be related to the data breaching or system hacking which acts as the challenging factor.

When we closely analyzed the current situation of the AI market there are several factors which contribute to the growth of the market but the major element according to the sources is the productivity and the quality of the work, as the risk of the quality getting dropped by the humans are high compared to the AI is what will be contributing to the growth of the market during the forecasted period also providing enabled AI services for the customer will be a key element in solving the client query within the given time can positively impact the market in the long run.

Impact of Russia-Ukraine War:

The Impact of the Russia Ukraine war on the AI market has been positive, the utilization of the AI tools and the systems by both the countries  has raised the demand for the AI based tools in the military and several other government organizations, the use of the autonomous vehicle was done by the military troops of Russia and Ukraine where the role of AI was to identify enemies and carry the operation’s autonomously and because of this the demand for the AI in Military has been popularize which also encouraged the government defense organizations to increase the investment for implementing the autonomous and AI based tools which makes increases the assurity for the AI market to attract growth during the forecasted period.

Key Market Segmentation:

By Component:

  • Hardware

  • Software/Platform

  • Services

By Function:

  • Human resources

  • Marketing & Sales

  • Product/Service Deployment

  • Service Operation

  • Risk

  • Others

By Deployment:

  • Cloud

  • On-Premises

By Industry:

  • Healthcare

  • Retail

  • IT & Telecom

  • BFSI

  • Automotive

  • Others

Artificial Intelligence Market Segmentation Analysis

Need any customization research on Artificial Intelligence (AI) Market - Enquiry Now

Regional Analysis:

North America is the region which will dominate the market during the forecasted period because of the rising awareness and the demand for the AI in the developed countries of the North America region, the key players of the AI market like IBM, Microsoft have their major source of income from U.S. the major factor which will contribute to the growth of the AI market in North America region will be because of the government of developed countries of North America region in order to attract growth and implement the AI in the several organizations, U.S. has the highest share to the total market estimation of the AI market because as we mentioned earlier the government of the US has been taking a lot of initiatives to invest in the AI technologies because according to their beliefs AI is been used in several sectors i.e., from generating energy to use of AI in warfare, they main objective of the country is to maintain the scientific and technological edge.

APAC will be the region with the highest CAGR growth rate, China is the country with the highest share to the total market estimation of the AI market in APAC region.

Key Players:

The major key players are AiCure, Arm Limited, Atomwise Inc, Ayasdi AI LLC, Advanced Micro devices, IBM Watson Health, NVIDIA Corporation, Sensely, Inc, Microsoft, Iris Ai AS, Cyrcadia Health.

Ayasdi AI LLC-Company Financial Analysis

Recent Developments:

  • IBM – With the machine learning AI strategies the IBM consulting has interacted more than 100 clients and have completed dozens of engagements, the numbers are for the year 2023.

  • Google LLC– The introduction of Bard as the CEO of the company has claimed that AI is the most profound technology the company is working on.

  • SymphonyAI Sensa- The launch of Sensa Copilot for financial crime investigators, the company has claimed that it is the first AI generative solution for detecting the financial crime the major functionality of the solution is that it rapidly assembles and delivers comprehensive actionable information using natural language accessible to all types of users.

Artificial Intelligence Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 86 Bn
Market Size by 2030  US$ 1006 Bn
CAGR   CAGR of 36 % From 2023 to 2030
Base Year  2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Component (Hardware, Software/Platform, Services)
• By Function (Human resources, Marketing & Sales, Product/Service Deployment, Service Operation, Risk, Others)
• By Deployment (Cloud, On-Premises)
• By Industry (Healthcare, Retail, IT & Telecom, BFSI, Automotive, Others)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles AiCure, Arm Limited, Atomwise Inc, Ayasdi AI LLC, Advanced Micro devices, IBM Watson Health, NVIDIA Corporation, Sensely, Inc, Microsoft, Iris Ai AS, Cyrcadia Health

 

Frequently Asked Questions

Artificial Intelligence Market size was valued at USD 86 billion in 2022 and is expected to reach at USD 1006 billion by 2030, and grow at a CAGR of 36 % over the forecast period of 2023-2030.

Russia Ukraine war will have a positive impact on the AI market.

North America is dominating the market and will continue to dominate the market during the forecasted period

AI Market Is divided in four segments.

Privacy issues and threat related to the cybercrimes.

Table of Contents

1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 COVID 19 Impact Analysis
4.2 Impact of the Ukraine- Russia war

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. Artificial intelligence Market Segmentation by Component
8.1 Hardware
8.2 Software/Platform
8.3 Services

9. Artificial intelligence Market Segmentation by Function
9.1 Human resources
9.2 Marketing & Sales
9.3 Product/Service Deployment
9.4 Service Operation
9.5 Risk
9.6 Others

10. Artificial intelligence Market Segmentation by Function
10.1 Cloud
10.2 On-Premises

11. Artificial intelligence Market Segmentation by Industry
11.1 Healthcare
11.2 Retail
11.3 IT & Telecom
11.4 BFSI
11.5 Automotive
11.6 Others

12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Artificial Intelligence Market by country
12.2.2North America Artificial Intelligence Market by Component Type
12.2.3 North America Artificial Intelligence Market by Function Type
12.2.4 North America Artificial Intelligence Market by Deployment Type
12.2.5 North America Artificial Intelligence Market by Industry
12.2.6 USA
12.2.6.1 USA Artificial Intelligence Market by Component Type
12.2.6.2 USA Artificial Intelligence Market by Function Type
12.2.6.3 USA Artificial Intelligence Market by Deployment Type
12.2.6.4 USA Artificial Intelligence Market by Industry
12.2.7 Canada
12.2.7.1 Canada Artificial Intelligence Market by Component Type
12.2.7.2 Canada Artificial Intelligence Market by Function Type
12.2.7.3 Canada Artificial Intelligence Market by Deployment Type
12.2.7.4 Canada Artificial Intelligence Market by Industry
12.2.8 Mexico
12.2.8.1 Mexico Artificial Intelligence Market by Component Type
12.2.8.2 Mexico Artificial Intelligence Market by Function Type
12.2.8.3 Mexico Artificial Intelligence Market by Deployment Type
12.2.8.4 Mexico Artificial Intelligence Market by Industry
12.3 Europe
12.3.1 Europe Artificial Intelligence Market by country
1.3.3.2 Europe Artificial Intelligence Market by Component Type
12.3.3 Europe Artificial Intelligence Market by Function Type
12.3.4 Europe Artificial Intelligence Market by Deployment Type
12.3.5 Europe Artificial Intelligence Market by Industry
12.3.6 Germany
12.3.6.1 Germany Artificial Intelligence Market by Component Type
12.3.6.2 Germany Artificial Intelligence Market by Function Type
12.3.6.3 Germany Artificial Intelligence Market by Deployment Type
12.3.6.4 Germany Artificial Intelligence Market by Industry
12.3.7 UK
12.3.7.1 UK Artificial Intelligence Market by Component Type
12.3.7.2 UK Artificial Intelligence Market by Function Type
12.3.7.3 UK Artificial Intelligence Market by Deployment Type
12.3.7.4 UK Artificial Intelligence Market by Industry
12.3.8 France
12.3.8.1 France Artificial Intelligence Market by Component Type
12.3.8.2 France Artificial Intelligence Market by Function Type
12.3.8.3 France Artificial Intelligence Market by Deployment Type
12.3.8.4 France Artificial Intelligence Market by Industry
12.3.9 Italy
12.3.9.1 Italy Artificial Intelligence Market by Component Type
12.3.9.2 Italy Artificial Intelligence Market by Function Type
12.3.9.3 Italy Artificial Intelligence Market by Deployment Type
12.3.9.4 Italy Artificial Intelligence Market by Industry
12.3.10 Spain
12.3.10.1 Spain Artificial Intelligence Market by Component Type
12.3.10.2 Spain Artificial Intelligence Market by Function Type
12.3.10.3 Spain Artificial Intelligence Market by Deployment Type
12.3.10.4 Spain Artificial Intelligence Market by Industry
12.3.11 The Netherlands
12.3.11.1 Netherlands Artificial Intelligence Market by Component Type
12.3.11.2 Netherlands Artificial Intelligence Market by Function Type
12.3.11.3 Netherlands Artificial Intelligence Market by Deployment Type
12.3.11.4 Netherlands Artificial Intelligence Market by Industry
12.3.12 Rest of Europe
12.3.12.1 Rest of Europe Artificial Intelligence Market by Component Type
12.3.12.2 Rest of Europe Artificial Intelligence Market by Function Type
12.3.12.3 Rest of Europe Artificial Intelligence Market by Deployment Type
12.3.12.4 Rest of Europe Artificial Intelligence Market by Industry
12.4 Asia-Pacific
12.4.1 Asia Pacific Artificial Intelligence Market by country
12.4.2 Asia Pacific Artificial Intelligence Market by Component Type
12.4.3 Asia Pacific Artificial Intelligence Market by Function Type
12.4.4 Asia Pacific Artificial Intelligence Market by Deployment Type
12.4.5 Asia Pacific Artificial Intelligence Market by Industry
12.4.6 Japan
12.4.6.1 Japan Artificial Intelligence Market by Component Type
12.4.6.2 Japan Artificial Intelligence Market by Function Type
12.4.6.3 Japan Artificial Intelligence Market by Deployment Type
12.4.6.4 Japan Artificial Intelligence Market by Industry
12.4.7 South Korea
12.4.7.1 South Korea Artificial Intelligence Market by Component Type
12.4.7.2 South Korea Artificial Intelligence Market by Function Type
12.4.7.3 South Korea Artificial Intelligence Market by Deployment Type
12.4.7.4 South Korea Artificial Intelligence Market by Industry
12.4.8 China
12.4.8.1 China Artificial Intelligence Market by Component Type
12.4.8.2 China Artificial Intelligence Market by Function Type
12.4.8.3 China Artificial Intelligence Market by Deployment Type
12.4.8.4 China Artificial Intelligence Market by Industry
12.4.9 India
12.4.9.1 India Artificial Intelligence Market by Component Type
12.4.9.2 India Artificial Intelligence Market by Function Type
12.4.9.3 India Artificial Intelligence Market by Deployment Type
12.4.9.4 India Artificial Intelligence Market by Industry
12.4.10 Australia
12.4.10.1 Australia Artificial Intelligence Market by Component Type
12.4.10.2 Australia Artificial Intelligence Market by Function Type
12.4.10.3 Australia Artificial Intelligence Market by Deployment Type
12.4.10.4 Australia Artificial Intelligence Market by Industry
12.4.11 Rest of Asia-Pacific
12.4.11.1 APAC Artificial Intelligence Market by Component Type
12.4.11.2 APAC Artificial Intelligence Market by Function Type
12.4.11.3 APAC Artificial Intelligence Market by Deployment Type
12.4.11.4 APAC Artificial Intelligence Market by Industry
12.5 The Middle East & Africa
12.5.1 The Middle East & Africa Artificial Intelligence Market by country
12.5.2 The Middle East & Africa Artificial Intelligence Market by Component Type
12.5.3 The Middle East & Africa Artificial Intelligence Market by Function Type
12.5.4 The Middle East & Africa Artificial Intelligence Market by Deployment Type
12.5.5 The Middle East & Africa Artificial Intelligence Market by Industry
12.5.6 Israel
12.5.6.1 Israel Artificial Intelligence Market by Component Type
12.5.6.2 Israel Artificial Intelligence Market by Function Type
12.5.6.3 Israel Artificial Intelligence Market by Deployment Type
12.5.6.4 Israel Artificial Intelligence Market by Industry
12.5.7 UAE
12.5.7.1 UAE Artificial Intelligence Market by Component Type
12.5.7.2 UAE Artificial Intelligence Market by Function Type
12.5.7.3 UAE Artificial Intelligence Market by Deployment Type
12.5.7.4 UAE Artificial Intelligence Market by Industry
12.5.8 South Africa
12.5.8.1 South Africa Artificial Intelligence Market by Component Type
12.5.8.2 South Africa Artificial Intelligence Market by Function Type
12.5.8.3 South Africa Artificial Intelligence Market by Deployment Type
12.5.8.4 South Africa Artificial Intelligence Market by Industry
12.5.9 Rest of Middle East & Africa
12.5.9.1 Rest of Middle East & Asia Artificial Intelligence Market by Component Type
12.5.9.2 Rest of Middle East & Asia Artificial Intelligence Market by Function Type
12.5.9.3 Rest of Middle East & Asia Artificial Intelligence Market Deployment Type
12.5.9.4 Rest of Middle East & Asia Artificial Intelligence Market by Industry
12.6 Latin America
12.6.1 Latin America Artificial Intelligence Market by country
12.6.2 Latin America Artificial Intelligence Market by Component Type
12.6.3 Latin America Artificial Intelligence Market by Function Type
12.6.4 Latin America Artificial Intelligence Market by Deployment Type
12.6.5  Latin America Artificial Intelligence Market by Industry
12.6.6 Brazil
12.6.6.1 Brazil Artificial Intelligence Market by Component Type
12.6.6.2 Brazil Africa Artificial Intelligence Market by Function Type
12.6.6.3 Brazil Artificial Intelligence Market by Deployment Type
12.6.6.4 Brazil Artificial Intelligence Market by Industry
12.6.7 Argentina
12.6.7.1 Argentina Artificial Intelligence Market by Component Type
12.6.7.2 Argentina Artificial Intelligence Market by Function Type
12.6.7.3 Argentina Artificial Intelligence Market by Deployment Type
12.6.7.4 Argentina Artificial Intelligence Market by Industry
12.6.8 Rest of Latin America
12.6.8.1 Rest of Latin America Artificial Intelligence Market by Component Type
12.6.8.2 Rest of Latin America Artificial Intelligence Market by Function Type
12.6.8.3 Rest of Latin America Artificial Intelligence Market by Deployment Type
12.6.8.4 Rest of Latin America Artificial Intelligence Market by Industry

13. Company Profile
13.1 AiCure
13.1.1 Market Overview
13.1.2 Financials
13.1.3 Treatment/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Arm Limited
13.2.1 Market Overview
13.2.2 Financials
13.2.3 Treatment/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Atomwise Inc
13.3.1 Market Overview
13.3.2 Financials
13.3.3 Treatment/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Ayasdi AI LLC
13.4.1 Market Overview
13.4.2 Financials
13.4.3 Treatment/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Advanced Micro Devices
13.5.1 Market Overview
13.5.2 Financials
13.5.3 Treatment/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 IBM Watson Health
13.6.1 Market Overview
13.6.2 Financials
13.6.3 Treatment/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 NVIDIA Corporation
13.7.1 Market Overview
13.7.2 Financials
13.7.3 Treatment/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Sensely, Inc
13.8.1 Market Overview
13.8.2 Financials
13.8.3 Treatment/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Microsoft
13.9.1 Market Overview
13.9.2 Financials
13.9.3 Treatment/Services/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 NVIDIA
13.10.1 Market Overview
13.10.2 Financials
13.10.3 Treatment/Services/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
13.11 Iris AI AS
13.11.1 Market Overview
13.11.2 Financials
13.11.3 Treatment/Services/Offerings
13.11.4 SWOT Analysis
13.11.5 The SNS View

14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share analysis
14.3 Recent Developments

15. Use Cases And Best Practices

16.Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.

 

The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.

Data Bank Validation

Step 4: QA/QC Process

After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.

Step 5: Final QC/QA Process:

This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.

Start a Conversation

Hi! Click one of our member below to chat on Phone