Study Period | 2019-2032 |
Base Year | 2023 |
Forcast Year | 2023-2032 |
CAGR | 8.91 |
The Artificial Intelligence (AI) Market is poised for significant growth, with a projected Compound Annual Growth Rate (CAGR) of 32.89% between 2022 and 2032. The market size is forecast to increase by USD 418.65 billion during this period. Artificial Intelligence involves the simulation of human intelligence processes by machines, enabling them to perform tasks that typically require human intelligence.
Artificial Intelligence (AI) Market Overview:
Drivers:
Furthermore, the rise of big data and the need for extracting actionable insights from complex datasets contribute to market growth. AI solutions empower businesses to derive valuable insights from massive amounts of data.
Trends:
Moreover, the adoption of AI-powered predictive analytics for demand forecasting and preventive maintenance is growing. Predictive analytics enables businesses to anticipate trends and optimize resource allocation.
Restraints:
Additionally, the complexity of AI model development and the potential for biases in AI algorithms can be barriers. Organizations need to invest in AI ethics and governance frameworks to ensure responsible AI usage.
AI Market Segmentation by Component: The Software segment, which involves AI software platforms and tools, is expected to witness substantial growth during the forecast period. AI software empowers developers and data scientists to create and deploy AI models for various applications.
Furthermore, the Hardware segment is a vital area in the AI market. Specialized hardware accelerators and processors are designed to efficiently execute AI computations and support deep learning tasks.
AI Market Segmentation by Technology: The Machine Learning segment, which involves the use of algorithms that enable systems to learn and improve from experience, is anticipated to remain prominent due to its versatility and widespread adoption across industries.
Moreover, North America's adoption of AI in healthcare, finance, and technology sectors aligns with the growing trend of AI integration.
In 2020, the AI market witnessed growth as businesses sought AI solutions to enhance operational efficiency and adapt to changing market dynamics during the COVID-19 pandemic. AI-enabled automation played a crucial role in maintaining business continuity.
AI Market Customer Landscape: The market report analyzes the adoption lifecycle, spanning from early adopters to late adopters. It examines adoption rates across different industries and sectors, considering penetration levels. The report also explores key criteria influencing AI solution selection and implementation.
Major AI Market Companies: Key players in the AI market are implementing strategies such as product innovation, partnerships, and acquisitions to enhance their market presence.
Some major players include:
The research report provides a comprehensive competitive landscape analysis of 20 market companies, evaluating their strengths, weaknesses, and strategic approaches. The analysis categorizes companies based on their market focus and dominance.
Segment Overview:
TABLE OF CONTENTS: GLOBAL Artificial Intelligence (AI) MARKET
Chapter 1. MARKET SYNOPSIS
1.1. Market Definition
1.2. Research Scope & Premise
1.3. Methodology
1.4. Market Estimation Technique
Chapter 2. EXECUTIVE SUMMARY
2.1. Summary Snapshot, 2016 – 2027
Chapter 3. INDICATIVE METRICS
3.1. Macro Indicators
Chapter 4. Artificial Intelligence (AI) MARKET SEGMENTATION & IMPACT ANALYSIS
4.1. Artificial Intelligence (AI) Segmentation Analysis
4.2. Industrial Outlook
4.3. Price Trend Analysis
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.5.1. Artificial Intelligence (AI) Of Suppliers
4.5.2. Artificial Intelligence (AI) Of Buyers
4.5.3. Threat Of Substitutes
4.5.4. Threat Of New Entrants
4.5.5. Competitive Rivalry
Chapter 5. Artificial Intelligence (AI) MARKET BY technology landscape
SIGHTS & TRENDS
5.1. Segment 1 Dynamics & Market Share, 2019 & 2027
5.2 Deep Learning
5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
5.3 Machine Learning
5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
5.4 Natural Language Processing
5.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
5.5 Machine Vision
5.5.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.5.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
Chapter 6. Artificial Intelligence (AI) MARKET BY End user INSIGHTS & TRENDS
6.1. Segment 2 Dynamics & Market Share, 2019 & 2027
6.2 Advertising & Media
6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.3 Healthcare
6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.4 Retail
6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.5 Automotive & Transportation
6.5.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.5.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
Chapter 7. Artificial Intelligence (AI) MARKET REGIONAL OUTLOOK
7.1. Artificial Intelligence (AI) Market Share By Region, 2019 & 2027
7.2. NORTH AMERICA
7.2.1. North America Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027 (USD Million)
7.2.2. North America Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.3. North America Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.4. North America Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.2.5. U.S.
7.2.5.1. U.S. Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.2.5.2. U.S. Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.5.3. U.S. Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.5.4. U.S. Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.2.6. CANADA
7.2.6.1. Canada Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.2.6.2. Canada Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.6.3. Canada Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.6.4. Canada Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3. EUROPE
7.3.1. Europe Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.2. Europe Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.3. Europe Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.4. Europe Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.5. GERMANY
7.3.5.1. Germany Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.5.2. Germany Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.5.3. Germany Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.5.4. Germany Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.6. FRANCE
7.3.6.1. France Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.6.2. France Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.6.3. France Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.6.4. France Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.7. U.K.
7.3.7.1. U.K. Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.7.2. U.K. Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.7.3. U.K. Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.7.4. U.K. Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4. ASIA-PACIFIC
7.4.1. Asia Pacific Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.2. Asia Pacific Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.3. Asia Pacific Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.4. Asia Pacific Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.5. CHINA
7.4.5.1. China Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.5.2. China Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.5.3. China Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.5.4. China Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.6. INDIA
7.4.6.1. India Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.6.2. India Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.6.3. India Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.6.4. India Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.7. JAPAN
7.4.7.1. Japan Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.7.2. Japan Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.7.3. Japan Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.7.4. Japan Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.8. AUSTRALIA
7.4.8.1. Australia Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.8.2. Australia Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.8.3. Australia Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.8.4. Australia Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.5. MIDDLE EAST AND AFRICA (MEA)
7.5.1. Mea Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.5.2. Mea Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.5.3. Mea Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.5.4. Mea Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.6. LATIN AMERICA
7.6.1. Latin America Artificial Intelligence (AI) Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.6.2. Latin America Artificial Intelligence (AI) Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.6.3. Latin America Artificial Intelligence (AI) Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.6.4. Latin America Artificial Intelligence (AI) Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)
7.6.5. Latin America Artificial Intelligence (AI) Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
Chapter 8. COMPETITIVE LANDSCAPE
8.1. Market Share By Manufacturers
8.2. Strategic Benchmarking
8.2.1. New Product Launches
8.2.2. Investment & Expansion
8.2.3. Acquisitions
8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures
8.3. Vendor Landscape
8.3.1. North American Suppliers
8.3.2. European Suppliers
8.3.3. Asia-Pacific Suppliers
8.3.4. Rest Of The World Suppliers
Chapter 9. COMPANY PROFILES
9.1 AIBrain
9.1.1. Company Overview
9.1.2. Financial Performance
9.1.3. Product Insights
9.1.4. Strategic Initiatives
9.2 Amazon Web Services
9.2.1. Company Overview
9.2.2. Financial Performance
9.2.3. Product Insights
9.2.4. Strategic Initiatives
9.3 Baidu
9.3.1. Company Overview
9.3.2. Financial Performance
9.3.3. Product Insights
9.3.4. Strategic Initiatives
9.4 Cisco Systems
9.4.1. Company Overview
9.4.2. Financial Performance
9.4.3. Product Insights
9.4.4. Strategic Initiatives
9.5 CloudMinds
9.5.1. Company Overview
9.5.2. Financial Performance
9.5.3. Product Insights
9.5.4. Strategic Initiatives
9.6 eGain Corporation
9.6.1. Company Overview
9.6.2. Financial Performance
9.6.3. Product Insights
9.6.4. Strategic Initiatives
9.7 Facebook
9.7.1. Company Overview
9.7.2. Financial Performance
9.7.3. Product Insights
9.7.4. Strategic Initiatives
9.8 General Electric Company
9.8.1. Company Overview
9.8.2. Financial Performance
9.8.3. Product Insights
9.8.4. Strategic Initiatives
9.9 Google
9.9.1. Company Overview
9.9.2. Financial Performance
9.9.3. Product Insights
9.9.4. Strategic Initiatives
9.10 IBM Corp
9.10.1. Company Overview
9.10.2. Financial Performance
9.10.3. Product Insights
9.10.4. Strategic Initiatives
A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.
Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.
Now let’s take a closer look at the research methods here.
Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.
Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.
However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.
The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.
Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.
The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.
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