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Artificial Intelligence Market Size, Share & Trends Analysis Report By Solution, By Technology (Deep Learning, Machine Learning, NLP, Machine Vision, Generative AI), By Function, By End-use, By Region, And Segment Forecasts, 2024 - 2030

May 2024 | 125 pages | ID: A60AAC82F45EN
Grand View Research, Inc.

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Artificial Intelligence Market Growth & Trends

The global artificial intelligence market size is expected to reach USD 1,811.75 billion by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to grow at a CAGR of 36.6% from 2024 to 2030. Artificial Intelligence (AI) denotes the concept and development of computing systems capable of performing tasks customarily requiring human assistance, such as decision-making, speech recognition, visual perception, and language translation. AI uses algorithms to understand human speech, visually recognize objects, and process information. These algorithms are used for data processing, calculation, and automated reasoning. Artificial intelligence researchers continuously improve algorithms for various aspects, as conventional algorithms have drawbacks regarding accuracy and efficiency.

These advancements have led manufacturers and technology developers to focus on developing standard algorithms. Recently, several developments have been carried out for enhancing artificial intelligence algorithms. For instance, in May 2020, International Business Machines Corporation announced a wide range of new AI-powered services and capabilities, namely IBM Watson AIOps, for enterprise automation. These services are designed to help automate the IT infrastructures and make them more resilient and cost reduction.

Various companies are implementing AI-based solutions such as Robotic Process Automation (RPA) to enhance the process workflows to handle and automate repetitive tasks. AI-based solutions are also being coupled with the Internet of Things (IoT) to provide robust results for various business processes. For Instance, Microsoft invested USD 1 billion in OpenAI, a San Francisco-based company. The two businesses teamed up to create AI supercomputing technology on Microsoft's Azure cloud.

The COVID-19 pandemic emerged as an opportunity for AI-enabled computer systems to fight against the epidemic as several tech companies are working on preventing, mitigating, and containing the virus. For instance, LeewayHertz, a U.S.-based custom software development company, offers technology solutions using AI tools and techniques, including the Face Mask Detection System to identify individuals without a mask and the Human Presence System to monitor patients remotely.

Besides, Voxel51 Inc., a U.S.-based artificial intelligence start-up, has developed Voxel51 PDI (Physical Distancing Index) to measure the impact of the global pandemic on social behavior across the world. AI-powered computer platforms or solutions are being used to fight against COVID-19 in numerous applications, such as early alerts, tracking & prediction, data dashboards, diagnosis and prognosis, treatments & cures, and maintaining social control. Data dashboards that can visualize the pandemic have emerged with the need for coronavirus tracking and prediction. For instance, Microsoft Corporation's Bing's AI tracker gives a global overview of the pandemic's current statistics.

Artificial intelligence is becoming vital to big data as the technology allows the extraction of high-level and complex abstractions through a hierarchical learning process. The need for mining and extraction of significant patterns from high-volume information is driving the growth of artificial intelligence in big data analytics. AI helps overcome challenges associated with big data analytics, such as the trustworthiness of data analysis, format variation of raw information, highly distributed input sources, and imbalanced input data. Another challenge includes a lack of efficient storage and poor information retrieval as it is collected in large quantities and made available across numerous domains. These challenges are overcome by using semantic indexing to facilitate comprehension and knowledge discovery.

Artificial Intelligence Market Report Highlights
  • The advent of big data is expected to be the cause of the growth of the AI market as a large volume of data is needed to be captured, stored, and analyzed.
  • The increasing demand for image processing and identification is expected to drive industry growth.
  • AI can analyze vast amounts of data to identify patterns and anomalies that might indicate a cyberattack. This allows for faster and more precise threat detection subsequently fostering adoption of AI in cybersecurity applications.
  • By using AI for predictive maintenance, process automation, and supply chain optimization, businesses can streamline workflows, reduce costs, and ensure smooth delivery of their offerings.
  • North America dominated the market and accounted for a share of over 36.8% of global revenue in 2022.
  • One of the significant concerns restraining industry growth is the need for a large amount of data to train AI systems for character and image recognition.
CHAPTER 1. METHODOLOGY AND SCOPE

1.1. Market Segmentation and Scope
1.2. Market Definitions
1.3. Research Methodology
  1.3.1. Information Procurement
  1.3.2. Information or Data Analysis
  1.3.3. Market Formulation & Data Visualization
  1.3.4. Data Validation & Publishing
1.4. Research Scope and Assumptions
  1.4.1. List of Data Sources

CHAPTER 2. EXECUTIVE SUMMARY

2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights

CHAPTER 3. ARTIFICIAL INTELLIGENCE MARKET VARIABLES, TRENDS, & SCOPE

3.1. Market Introduction/Lineage Outlook
3.2. Market Size and Growth Prospects (USD Billion)
3.3. Industry Value Chain Analysis
3.4. Market Dynamics
  3.4.1. Market Drivers Analysis
  3.4.2. Market Restraints Analysis
  3.4.3. Industry Opportunities
  3.4.4. Industry Challenges
3.5. Artificial Intelligence Market Analysis Tools
  3.5.1. Porter’s Analysis
    3.5.1.1. Bargaining power of the suppliers
    3.5.1.2. Bargaining power of the buyers
    3.5.1.3. Threats of substitution
    3.5.1.4. Threats from new entrants
    3.5.1.5. Competitive rivalry
  3.5.2. PESTEL Analysis
    3.5.2.1. Political landscape
    3.5.2.2. Economic and Social landscape
    3.5.2.3. Technological landscape
    3.5.2.4. Environmental landscape
    3.5.2.5. Legal landscape

CHAPTER 4. ARTIFICIAL INTELLIGENCE MARKET: SOLUTION ESTIMATES & TREND ANALYSIS

4.1. Segment Dashboard
4.2. Artificial Intelligence Market: Solution Movement Analysis, 2023 & 2030 (USD Million)
4.3. Hardware
  4.3.1. Hardware Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.4. Software
  4.4.1. Software Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.5. Services
  4.5.1. Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

CHAPTER 5. ARTIFICIAL INTELLIGENCE MARKET: TECHNOLOGY ESTIMATES & TREND ANALYSIS

5.1. Segment Dashboard
5.2. Artificial Intelligence Market: Technology Movement Analysis, 2023 & 2030 (USD Million)
5.3. Deep Learning
  5.3.1. Deep Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.4. Machine Learning
  5.4.1. Machine Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.5. Natural Language Processing (NLP)
  5.5.1. Natural Language Processing (NLP) Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.6. Machine Vision
  5.6.1. Machine Vision Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.7. Generative AI
  5.7.1. Generative AI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

CHAPTER 6. ARTIFICIAL INTELLIGENCE MARKET: FUNCTION ESTIMATES & TREND ANALYSIS

6.1. Segment Dashboard
6.2. Artificial Intelligence Market: Function Movement Analysis, 2023 & 2030 (USD Million)
6.3. Cybersecurity
  6.3.1. Cybersecurity Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.4. Finance and Accounting
  6.4.1. Finance and Accounting Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.5. Human Resource Management
  6.5.1. Human Resource Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.6. Legal and Compliance
  6.6.1. Legal and Compliance Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.7. Operations
  6.7.1. Operations Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.8. Sales and Marketing
  6.8.1. Sales and Marketing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.9. Supply Chain Management
  6.9.1. Supply Chain Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

CHAPTER 7. ARTIFICIAL INTELLIGENCE MARKET: END-USER ESTIMATES & TREND ANALYSIS

7.1. Segment Dashboard
7.2. Artificial Intelligence Market: End-user Movement Analysis, 2023 & 2030 (USD Million)
7.3. Healthcare
  7.3.1. Healthcare Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.4. BFSI
  7.4.1. BFSI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.5. Law
  7.5.1. Law Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.6. Retail
  7.6.1. Retail Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.7. Advertising & Media
  7.7.1. Advertising & Media Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.8. Automotive & Transportation
  7.8.1. Automotive & Transportation Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.9. Agriculture
  7.9.1. Agriculture Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.10. Manufacturing
  7.10.1. Manufacturing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.11. Others
  7.11.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

CHAPTER 8. ARTIFICIAL INTELLIGENCE MARKET: REGIONAL ESTIMATES & TREND ANALYSIS

8.1. Artificial Intelligence Market Share, By Region, 2023 & 2030 (USD Million)
8.2. North America
  8.2.1. North America Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.2.2. U.S.
    8.2.2.1. U.S. Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.2.3. Canada
    8.2.3.1. Canada Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3. Europe
  8.3.1. Europe Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.3.2. UK
    8.3.2.1. UK Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.3.3. Germany
    8.3.3.1. Germany Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.3.4. France
    8.3.4.1. France Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4. Asia Pacific
  8.4.1. Asia Pacific Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.4.2. China
    8.4.2.1. China Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.4.3. Japan
    8.4.3.1. Japan Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.4.4. India
    8.4.4.1. India Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.4.5. South Korea
    8.4.5.1. South Korea Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.5. Latin America
  8.5.1. Latin America Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.5.2. Brazil
    8.5.2.1. Brazil Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.5.3. Mexico
    8.5.3.1. Mexico Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6. Middle East and Africa
  8.6.1. Middle East and Africa Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.6.2. KSA
    8.6.2.1. KSA Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.6.3. UAE
    8.6.3.1. UAE Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  8.6.4. South Africa
    8.6.4.1. South Africa Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)

CHAPTER 9. COMPETITIVE LANDSCAPE

9.1. Recent Developments & Impact Analysis by Key Market Participants
9.2. Company Categorization
9.3. Company Market Positioning
9.4. Company Heat Map Analysis
9.5. Strategy Mapping
  9.5.1. Expansion
  9.5.2. Mergers & Acquisition
  9.5.3. Partnerships & Collaborations
  9.5.4. New Product Launches
  9.5.5. Research And Development
9.6. Company Profiles
  9.6.1. Advanced Micro Devices
    9.6.1.1. Participant’s Overview
    9.6.1.2. Financial Performance
    9.6.1.3. Product Benchmarking
    9.6.1.4. Recent Developments
  9.6.2. AiCure
    9.6.2.1. Participant’s Overview
    9.6.2.2. Financial Performance
    9.6.2.3. Product Benchmarking
    9.6.2.4. Recent Developments
  9.6.3. Arm Limited
    9.6.3.1. Participant’s Overview
    9.6.3.2. Financial Performance
    9.6.3.3. Product Benchmarking
    9.6.3.4. Recent Developments
  9.6.4. Atomwise, Inc.
    9.6.4.1. Participant’s Overview
    9.6.4.2. Financial Performance
    9.6.4.3. Product Benchmarking
    9.6.4.4. Recent Developments
  9.6.5. Ayasdi AI LLC
    9.6.5.1. Participant’s Overview
    9.6.5.2. Financial Performance
    9.6.5.3. Product Benchmarking
    9.6.5.4. Recent Developments
  9.6.6. Baidu, Inc.
    9.6.6.1. Participant’s Overview
    9.6.6.2. Financial Performance
    9.6.6.3. Product Benchmarking
    9.6.6.4. Recent Developments
  9.6.7. Clarifai, Inc
    9.6.7.1. Participant’s Overview
    9.6.7.2. Financial Performance
    9.6.7.3. Product Benchmarking
    9.6.7.4. Recent Developments
  9.6.8. Cyrcadia Health
    9.6.8.1. Participant’s Overview
    9.6.8.2. Financial Performance
    9.6.8.3. Product Benchmarking
    9.6.8.4. Recent Developments
  9.6.9. Enlitic, Inc.
    9.6.9.1. Participant’s Overview
    9.6.9.2. Financial Performance
    9.6.9.3. Product Benchmarking
    9.6.9.4. Recent Developments
  9.6.10. Google LLC
    9.6.10.1. Participant’s Overview
    9.6.10.2. Financial Performance
    9.6.10.3. Product Benchmarking
    9.6.10.4. Recent Developments
  9.6.11. H2O.ai.
    9.6.11.1. Participant’s Overview
    9.6.11.2. Financial Performance
    9.6.11.3. Product Benchmarking
    9.6.11.4. Recent Developments
  9.6.12. HyperVerge, Inc.
    9.6.12.1. Participant’s Overview
    9.6.12.2. Financial Performance
    9.6.12.3. Product Benchmarking
    9.6.12.4. Recent Developments
  9.6.13. International Business Machines Corporation
    9.6.13.1. Participant’s Overview
    9.6.13.2. Financial Performance
    9.6.13.3. Product Benchmarking
    9.6.13.4. Recent Developments
  9.6.14. IBM Watson Health
    9.6.14.1. Participant’s Overview
    9.6.14.2. Financial Performance
    9.6.14.3. Product Benchmarking
    9.6.14.4. Recent Developments
  9.6.15. Intel Corporation
    9.6.15.1. Participant’s Overview
    9.6.15.2. Financial Performance
    9.6.15.3. Product Benchmarking
    9.6.15.4. Recent Developments
  9.6.16. Iris.ai AS.
    9.6.16.1. Participant’s Overview
    9.6.16.2. Financial Performance
    9.6.16.3. Product Benchmarking
    9.6.16.4. Recent Developments
  9.6.17. Lifegraph
    9.6.17.1. Participant’s Overview
    9.6.17.2. Financial Performance
    9.6.17.3. Product Benchmarking
    9.6.17.4. Recent Developments
  9.6.18. Microsoft
    9.6.18.1. Participant’s Overview
    9.6.18.2. Financial Performance
    9.6.18.3. Product Benchmarking
    9.6.18.4. Recent Developments
  9.6.19. NVIDIA Corporation
    9.6.19.1. Participant’s Overview
    9.6.19.2. Financial Performance
    9.6.19.3. Product Benchmarking
    9.6.19.4. Recent Developments
  9.6.20. Sensely, Inc.
    9.6.20.1. Participant’s Overview
    9.6.20.2. Financial Performance
    9.6.20.3. Product Benchmarking
    9.6.20.4. Recent Developments
  9.6.21. Zebra Medical Vision, Inc.
    9.6.21.1. Participant’s Overview
    9.6.21.2. Financial Performance
    9.6.21.3. Product Benchmarking
    9.6.21.4. Recent Developments
LIST OF TABLES


Table 1 Global AI Market by Solution, 2017 - 2030 (USD Million)
Table 2 Global AI Market by Technology, 2017 - 2030 (USD Million)
Table 3 Global AI Market by Function, 2017 - 2030 (USD Million)
Table 4 Global AI Market by End Use, 2017 - 2030 (USD Million)
Table 5 Global AI Market by Region, 2017 - 2030 (USD Million)
Table 6 North America AI Market by Country, 2017 - 2030 (USD Million)
Table 7 Europe AI Market by Country, 2017 - 2030 (USD Million)
Table 8 Asia Pacific AI Market by Country, 2017 - 2030 (USD Million)
Table 9 Latin America AI Market by Country, 2017 - 2030 (USD Million)
Table 10 MEA AI Market by Country, 2017 - 2030 (USD Million)
Table 11 Company heat map analysis
Table 12 Key companies launching new products/services
Table 13 Key companies engaged in mergers & acquisition
Table 14 Key companies engaged in Research & development
Table 15 Key Companies engaged in expansion
LIST OF FIGURES


Fig. 1 AI Market Segmentation
Fig. 2 Market research process
Fig. 3 Information procurement
Fig. 4 Primary research pattern
Fig. 5 Market research approaches
Fig. 6 Market formulation & validation
Fig. 7 AI Market Snapshot
Fig. 8 AI Market Segment Snapshot
Fig. 9 AI Market Competitive Landscape Snapshot
Fig. 10 Market driver impact analysis
Fig. 11 Market restraint impact analysis
Fig. 12 AI Market, solution outlook key takeaways (USD Million)
Fig. 13 AI Market: solution movement analysis 2023 & 2030 (USD Million)
Fig. 14 Hardware market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 15 Software market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 16 Services market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 17 AI Market: Technology Outlook Key Takeaways (USD Million)
Fig. 18 AI Market: Technology Movement Analysis 2023 & 2030 (USD Million)
Fig. 19 Deep Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 20 Machine Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 21 Natural Language Processing market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 22 Machine Vision market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 23 Generative AI market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 24 AI Market: Function outlook key takeaways (USD Million)
Fig. 25 AI Market: Function movement analysis 2023 & 2030 (USD Million)
Fig. 26 Cybersecurity market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 27 Finance and Accounting market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 28 Human Resource Management market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 29 Legal and Compliance market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 30 Operations market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 31 Sales and Marketing market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 32 Supply Chain Management market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 33 AI Market: End-Use Outlook Key Takeaways (USD Million)
Fig. 34 AI Market: End-Use Movement Analysis 2023 & 2030 (USD Million)
Fig. 35 Healthcare market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 36 BFSI market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 37 Law market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 38 Legal market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 39 Retail market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 40 Advertising & Media market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 41 Automotive & Transportation market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 42 Agriculture market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 43 Manufacturing market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 44 Others market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 45 Regional marketplace: Key takeaways
Fig. 46 AI Market: Regional Outlook, 2023 & 2030 (USD Million)
Fig. 47 North America AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 48 U.S. AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 49 Canada AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 50 Europe AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 51 UK AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 52 Germany AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 53 France AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 54 Asia Pacific AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 55 China AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 56 Japan AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 57 India AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 58 South Korea AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 59 Australia AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 60 Latin America AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 61 Brazil AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 62 Mexico AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 63 MEA AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 64 KSA AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 65 UAE AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 66 South Africa AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 67 Company Categorization
Fig. 68 Company Market Positioning
Fig. 69 Strategy framework


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