The global artificial intelligence market was valued at USD 150 billion and is projected to reach a market size of USD 1379.70 billion by the end of 2030. Over the forecast period of 2024–2030, the market is projected to grow at a CAGR of 37.3%.
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Unlike the intelligence of people, artificial intelligence is the intelligence possessed by robots or software. Additionally, computer science research in this area focuses on creating and studying intelligent devices. The field of AI started gaining immense attention in 2010. With technological advancements and extensive usage in almost every end-user industry, this market is currently experiencing tremendous growth. In the future, with R&D activities and integration, this market will have enormous expansion.
Over the years, there have been major developments in the software and services of this technology. Deep learning, machine learning, and natural language processing have been a boon. AI helps companies with many day-to-day tasks to ease human life and time management. Additionally, support with complex tasks is provided. Insights regarding data analytics, financial data, risk assessment, etc., are obtained. This helps ensure accuracy, precision, reduction in errors, and optimization. All these factors make this technology attractive to be employed in various firms and other organizations. Furthermore, there is a lot of progress in research and developmental activities. Continuous projects are being undertaken in this field to broaden human understanding.
AI can assist providers with gathering, storing, and analyzing this data, as well as producing data-driven insights from large populations. By utilizing this data, medical practitioners may make more informed decisions about how to treat and manage illnesses. Secondly, AI is being implemented in diagnostic tools like X-rays, CT scans, MRIs, and DXAs. This is used for producing medical images and identifying patterns, infections, and other medical data. Thirdly, it is used in the process of drug discovery and development. This involves the creation of medicine tailored to an individual's genetic makeup. Furthermore, it is used for other healthcare operations for improved outcomes.
The whole process of installation, maintenance, and upgrades requires a lot of funding. Smaller organizations and startups can overcome many obstacles due to this. Secondly, advancements in AI have resulted in unemployment. Many companies have started layoffs and frozen their hiring because AI can take over these jobs with more accuracy and less time. Thirdly, data security is one of the biggest hindrances. There have been several cases of data breaches, cyberattacks, and fraud. This can cause significant losses for the organization and the country. Moreover, there can be fewer innovations with continuous use. Furthermore, extreme reliance on data can lead to partial decisions.
The AI market has an infinite number of possibilities in many fields. Its usage is being explored in education, agriculture, smart manufacturing, cybersecurity, marketing, sales, gaming, and other industries. Chatbots, assistants, and agents are providing the market with an ample number of opportunities. Self-driving vehicles integrated with AI technologies have been equipped with better safety and traffic flow. The healthcare sector is implementing AI for the early detection of diseases. The automation field is adopting AI-enabled machines for manufacturing, logistics, and quality control tasks. Apart from all of this, R&D activities are being prioritized.
REPORT METRIC |
DETAILS |
Market Size Available |
2022 - 2030 |
Base Year |
2022 |
Forecast Period |
2023 - 2030 |
CAGR |
37.3% |
Segments Covered |
By Solution, deployment Mode, Technology, Organisation Size and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regional Scope |
North America, Europe, APAC, Latin America, Middle East & Africa |
Key Companies Profiled |
Google, Amazon, Microsoft, IBM, Apple,Meta Platform, NVIDIA, Intel, Salesforce, Baidu |
Segmentation Analysis:
Hardware
Software
Services
Based on solutions, software is the largest segment in the market, holding a share of around 37%. This is due to their ability to provide insights, aid in decision-making, versatility, flexibility, diverse applications, computing power, demand, advancements in algorithms, cloud-based solutions, customization, and information storage. During the forecast period, this category is predicted to show more growth. Services are the fastest-growing segment due to convenience, scalability, consultation needs, data labeling, annotation, and support. This segment is also expected to show tremendous growth during the forecast period.
Cloud-based
On-Premise
Based on deployment mode, the cloud-based sector is the both largest and fastest-growing segment of the market and is expanding at a rate that exceeds 70%. This flourishing is facilitated by elements such as cost-effectiveness, scalability, adaptability, accessibility, automated upgrades, and user-friendly features.
Deep Learning
Machine Learning
Natural Language Processing (NLP)
Deep learning is the largest segment in the market, holding a share of approximately 37%. This is because of research activities, demand, company investments, collaborations, advancements, technological expertise, data-driven insights, and rising adoption in various fields. Machine learning is the fastest-growing owing to its capacity to swiftly evaluate vast volumes of data and provide insights that may be put to use. Additionally, it helps with spam filtering, business process automation, data security, and cyber protection. Organizations have increased their funds in this field, driving growth.
Small and Medium Scale Enterprise
Large Scale Enterprise
Large-scale firms, with an approximate share of about 60%, are the largest organizations in terms of size. This is because of things like having more employees, running more complicated operations, doing more work, international expansion, money, and services. However, with a market share of around 40%, small and medium-sized businesses are expanding at the fastest rate. This is a result of growing investments, improved infrastructure, more accessibility, emerging players, assistance from the government, and global operations.
BFSI
Healthcare
IT & Telecom
Law
Retail
Agriculture
Advertising & Media
Automotive & Transportation
Manufacturing
Others
Based on end users, BFSI is the largest segment in the market. AI is being used in the BFSI sector to enhance internal processes and customer connections through chatbots, predictive analytics, risk management, cybersecurity, and digital marketing. Apart from this, AI can help in verification, automation, customer queries, setting up accounts, and providing general guidance. The healthcare segment is the fastest-growing. AI helps in the analysis of medical records, interpreting data, diagnosis, drug delivery, treatment, and other administrative applications. Furthermore, the growing prevalence of diseases is helping the segment expand.
North America
Asia-Pacific
Europe
South America
Middle East and Africa
North America is the largest region, with a rough share of 36%. This is because of the existence of key players, financial growth, accessibility, facilities, research activities, technological advancements, a larger labor pool, and the industry's quick expansion. The top-ranking nations are the United States and Canada.
However, Asia Pacific is the fastest growing region, with nations like China, India, and Japan at the top, due to its expanding economy, rising investments, governmental involvement through initiatives, growth of emerging enterprises, worldwide operations, R&D activities, and trained workforce. This region holds a share of around 23%.
Europe is also one of the leading regions, along with countries like the United Kingdom, Germany, France, and Sweden, owing to a growing AI ecosystem, funds, and research facilities.
The market benefited from the virus's emergence. The new norm was mobility limitations, social isolation, and lockdowns. This brought a shift in favor of working from home. Adopting this service order was essential to ensuring efficient operation management, data security, and other services related to strategic planning. In addition, a decline in the economy resulted from interruptions in import and export operations. This led to budgetary constraints. AI tools were used to efficiently plan the company's financial resources that are now available. To avoid the spread of the virus, people started adopting telehealth services. This further caused a positive impact as AI tools were being adopted. As per Statista, around half of the patients seen by 43% of doctors at the height of the epidemic were using telehealth technology. Post-pandemic, the market continued to earn profits.
Key Players:
Amazon
Microsoft
IBM
Apple
Meta Platform
NVIDIA
Intel
Salesforce
Baidu
In June 2023, Google Cloud and Mayo Clinic partnered to use generative AI to transform healthcare. The initiative would begin with Enterprise Search in Generative AI App Builder (Gen App Builder), which would enhance clinical workflow efficiency, facilitate information retrieval for researchers and clinicians, and ultimately help improve patient outcomes. Furthermore, Google Cloud declared that HIPAA compliance is now supported by its Enterprise Search on Gen App Builder.
In January 2023, Microsoft and OpenAI expanded their collaboration by investing billions of dollars over several years to speed up AI advancements and make sure the world can profit from them all. It expanded their continuous cooperation in AI research and supercomputing and gave them the freedom to independently market the sophisticated AI technologies that are produced.
In September 2020, in a $40 billion transaction, Nvidia Corp. purchased Arm Holdings Ltd. from its owner, SoftBank Group Corp. Nvidia was pitching the merger as offering a greater emphasis on artificial intelligence, particularly in terms of building the world's leading computer firm for the AI era.
Chapter 1. Global Artificial Intelligence (AI) Market – Scope & Methodology
1.1. Market Segmentation
1.2. Scope, Assumptions & Limitations
1.3. Research Methodology
1.4. Primary Sources
1.5. Secondary Sources
Chapter 2. Global Artificial Intelligence (AI) Market – Executive Summary
2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2. Key Trends & Insights
2.2.1. Demand Side
2.2.2. Supply Side
2.4. Attractive Investment Propositions
2.5. COVID-19 Impact Analysis
Chapter 3. Global Artificial Intelligence (AI) Market – Competition Scenario
3.1. Market Share Analysis & Company Benchmarking
3.2. Competitive Strategy & Development Scenario
3.3. Competitive Pricing Analysis
3.4. Supplier-Distributor Analysis
Chapter 4. Global Artificial Intelligence (AI) Market - Entry Scenario
4.1. Regulatory Scenario
4.2. Case Studies – Key Start-ups
4.3. Customer Analysis
4.5. PESTLE Analysis
4.4. Porters Five Force Model
4.4.1. Bargaining Power of Suppliers
4.4.2. Bargaining Powers of Customers
4.4.3. Threat of New Entrants
4.4.4. Rivalry among Existing Players
4.4.5. Threat of Substitutes
Chapter 5. Global Artificial Intelligence (AI) Market - Landscape
5.1. Value Chain Analysis – Key Stakeholders Impact Analysis
5.2. Market Drivers
5.3. Market Restraints/Challenges
5.4. Market Opportunities
Chapter 6. Global Artificial Intelligence (AI) Market – By Solutions
6.1. Hardware
6.2. Software
6.3. Services
Chapter 7. Global Artificial Intelligence (AI) Market – By Deployment Mode
7.1. Cloud Based
7.2. On-Premise
Chapter 8. Global Artificial Intelligence (AI) Market – By Technology
8.1. Deep Learning
8.2. Machine Learning
8.3. Natural Language Processing (NLP)
8.4. Machine Vision
Chapter 9. Global Artificial Intelligence (AI) Market – By Organisation Size
9.1. Small and Medium Scale Enterprise
9.2. Large Scale Enterprise
Chapter 10. Global Artificial Intelligence (AI) Market – By Additives
10.1. BFSI
10.2. Healthcare
10.3. IT & Telecom
10.4. Law
10.5. Retail
10.6. Agriculture
10.7. Advertising & Media
10.8. Automotive & Transportation
10.9. Manufacturing
10.10. Others
Chapter 11. Global Artificial Intelligence (AI) Market, By Geography – Market Size, Forecast, Trends & Insights
11.1. North America
11.1.1. By Country
11.1.1.1. U.S.A.
11.1.1.2. Canada
11.1.1.3. Mexico
11.1.2. By Solutions
11.1.3. By Deployment Mode
11.1.4. By Technology
11.1.5. By Organisation Size
11.1.6. Additives
11.1.7. Countries & Segments - Market Attractiveness Analysis
11.2. Europe
11.2.1. By Country
11.2.1.1. U.K.
11.2.1.2. Germany
11.2.1.3. France
11.2.1.4. Italy
11.2.1.5. Spain
11.2.1.6. Rest of Europe
11.2.2. By Solutions
11.2.3. By Deployment Mode
11.2.4. By Technology
11.2.5. By Organisation Size
11.2.6. Additives
11.2.7. Countries & Segments - Market Attractiveness Analysis
11.3. Asia Pacific
11.3.2. By Country
11.3.2.2. China
11.3.2.2. Japan
11.3.2.3. South Korea
11.3.2.4. India
11.3.2.5. Australia & New Zealand
11.3.2.6. Rest of Asia-Pacific
11.3.2. By Solutions
11.3.3. By Deployment Mode
11.3.4. By Technology
11.3.5.By Organisation Size
11.3.6. Additives
11.3.7. Countries & Segments - Market Attractiveness Analysis
11.4. South America
11.4.3. By Country
11.4.3.3. Brazil
11.4.3.2. Argentina
11.4.3.3. Colombia
11.4.3.4. Chile
11.4.3.5. Rest of South America
11.4.2. By Solutions
11.4.3. By Deployment Mode
11.4.4. By Technology
11.4.5. By Organisation Size
11.4.6. Additives
11.4.7. Countries & Segments - Market Attractiveness Analysis
11.5. Middle East & Africa
11.5.4. By Country
11.5.4.4. United Arab Emirates (UAE)
11.5.4.2. Saudi Arabia
11.5.4.3. Qatar
11.5.4.4. Israel
11.5.4.5. South Africa
11.5.4.6. Nigeria
11.5.4.7. Kenya
11.5.4.11. Egypt
11.5.4.11. Rest of MEA
11.5.2. By Solutions
11.5.3. By Deployment Mode
11.5.4. By Technology
11.6.5. By Organisation Size
11.5.6. Additives
11.5.7. Countries & Segments - Market Attractiveness Analysis
Chapter 12. Global Artificial Intelligence (AI) Market – Company Profiles – (Overview, Product Portfolio, Financials, Strategies & Developments)
12.1. Google
12.2. Amazon
12.3. Microsoft
12.4. IBM
12.5. Apple
12.6. Meta Platform
12.7. NVIDIA
12.8. Intel
12.9. Salesforce
12.10. Baidu
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Frequently Asked Questions
The Global Artificial Intelligence Market was valued at USD 150 billion and is projected to reach a market size of USD 1379.70 billion by the end of 2030. Over the forecast period of 2024-2030, the market is projected to grow at a CAGR of 37.3%.
Technological advancements and an increasing demand from healthcare are the main drivers propelling the Global Artificial Intelligence Market.
Based on End Users, the Global Artificial Intelligence Market is segmented into BFSI, Healthcare, IT & Telecom, Law, Retail, Agriculture, Advertising & Media, Automotive & Transportation, Manufacturing, and Others.
North America is the most dominant region for the Global Artificial Intelligence Market.
Google, Amazon, and Microsoft are the key players operating in the Global Artificial Intelligence Market.
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