Artificial Intelligence (AI) Market Worth 160 Billion USD by 2026

The global Artificial Intelligence (AI) Market size is anticipated to around USD 8 billion by 2026, this market is anticipated to grow with 7% CAGR during the forecast time period.

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The AI technology's ability to effectively interpret the data collected and predict decisions by critical algorithms helps to improve productivity; for example, Netflix recommends movies based on previous viewing habits by consumers. AI has revolutionized the business management approach in the current business environment through the application of process management tools, company purchasing ads, pattern forecasts and other resources. These are the main factors of growing innovation in AI technology and in the demand for machine learning.

Regional Outlook

North America is projected to held the maximum market share in artificial intelligence. North America is anticipated to maintain its dominance amid the forecast period due to technical advancement in analytical tools, machine learning, and natural language processing technology.

Cloud-based AI deployment in Europe is projected to see significant growth in the coming years due to increasing consumer demand for quicker and on-demand data access and convenient document management. Additionally, many private and public agencies are gathering domain-specific data that covers topics such as medical information processing, communications, cyber security, national intelligence, and prevention of fraud. Big data-based AI algorithms help to evaluate these unorganized and unsupervised data by continuous improvement of each data set.

Emerging countries, such as India and Taiwan, are investing heavily in the adoption of new AI-based services or models, further expanding the scope of the industry under research. Startups are designing AI-inspired applications in Taiwan, according to Business Next, which measures the best times for cleaning solar panels, thus rising power generation by more than 15%.

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About the Market

Artificial intelligence is the result of a perfect blend of various innovations that lead to the creation of smart hardware or software capable of replicating human behaviors like thinking and problem-solving. The version of the artificial intelligence technology currently available allows robots to perform various human tasks, such as driving cars and adapting to their environments, providing social assistance and even playing games.

AI will make the supply chain information more seamlessly integrated, allowing for anticipatory production and efficient delivery of the products to customers. In keeping with the current trend in the artificial intelligence industry, increased safety, automated trucking and transportation, traffic control and reduced congestion are three areas with the greatest potential for AI. AI is likely to trigger the transition to a consumer-oriented economy and move the value chain to a more mature, high-tech-driven stage for the manufacturing and export industries.

Key Players & Strategies

The number of players in the artificial intelligence market around the world is increasing steadily. Participants include major global players such as Lifegraph, NVIDIA, Zebra Medical Vision, Inc., Sense.ly, Inc., Baidu, Inc., H2O ai, Atomwise, Inc., Enlitic, Inc., Google LLC, Intel Corporation, IBM Watson Health, and Microsoft Corporation, and others.

Machine intelligence is expected to hold enormous potential for development and key players are focused on developing combined software and hardware solutions. In turn, some retailers have partnered with manufacturers and end users for the drug delivery to extend their consumer reach. Rising popularity of technologies for parallel processing contributes to the rising acceptance of information technology in scientific disciplines such as artificial intelligence and data science. Organizations use AI to derive valuable insights from data and produce innovative products and enhance the customer experience, thus increasing opportunities for sales.

In reality, businesses are trying to cut down on operating costs and increase profit margins, which is why Artificial Intelligence-as - a-Service (AIaaS) is gaining more traction over the cloud. For fact, businesses are more interested for cloud-focused machine learning, which helps evolve with their offerings..

In addition, industry players are rapidly integrating new skill sets. Google, for example, revealed in July 2018 the integration of more AI technology into its cloud, which is projected to draw more customers, thus increasing market growth over the forecast period.

Market Segmentation

Market By Technology

  • Image Processing
  • Machine Learning
  • Natural Language Processing
  • Speech Recognition

Market By Application

  • IT & Telecom
  • Media & Advertising
  • BFSI
  • Automotive & Transportation
  • Retail
  • Healthcare
  • Others

Market By Geography

North America

  • U.S.
  • Canada

Europe

  • UK
  • Germany
  • France
  • Spain
  • Rest of Europe

Asia-Pacific

  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia-Pacific

Latin America

  • Mexico
  • Brazil
  • Rest of Latin America

Middle East & Africa

  • GCC
  • South Africa
  • Rest of MEA

Key Questions Answered in the Report

The report addresses key questions concerning the market evolution and overarching trends shaping global market growth. Some of the key questions answered in the report include-

- What is the overall structure of the market?

- What was the historical value and what is the forecasted value of the market?

- What are the key product level trends in the market?

- What are the market level trends in the market?

- Which of the market players are leading and what are their key differential strategies to retain their stronghold?

- Which are the most lucrative regions in the market space?

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TABLE OF CONTENT

CHAPTER 1. INDUSTRY OVERVIEW
1.1. Definition and Scope
1.1.1. Definition of Pure Cashmere
1.1.2. Market Segmentation
1.1.3. List of Abbreviations
1.2. Summary
1.2.1. Market Snapshot
1.2.2. Artificial Intelligence (AI) Market By Technology
1.2.2.1. Global Artificial Intelligence (AI) Market Revenue and Growth Rate Comparison By Technology (2015-2026)
1.2.2.2. Global Artificial Intelligence (AI) Market Revenue Share By Technology in 2018
1.2.2.3. Image Processing
1.2.2.4. Machine Learning
1.2.2.5. Natural Language Processing
1.2.2.6. Speech Recognition
1.2.3. Artificial Intelligence (AI) Market By Application
1.2.3.1. Global Artificial Intelligence (AI) Market Revenue and Growth Rate Comparison By Application (2015-2026)
1.2.3.2. Global Artificial Intelligence (AI) Market Revenue Share By Application in 2018
1.2.3.3. IT & Telecom
1.2.3.4. Media & Advertising
1.2.3.5. BFSI
1.2.3.6. Automotive & Transportation
1.2.3.7. Retail
1.2.3.8. Healthcare
1.2.3.9. Others
1.2.4. Artificial Intelligence (AI) Market By Geography
1.2.4.1. Global Artificial Intelligence (AI) Market Revenue and Growth Rate Comparison by Geography (2015-2026)
1.2.4.2. North America Artificial Intelligence (AI) Market Revenue and Growth Rate(2015-2026)
1.2.4.3. Europe Artificial Intelligence (AI) Market Revenue and Growth Rate(2015-2026)
1.2.4.4. Asia-Pacific Artificial Intelligence (AI) Market Revenue and Growth Rate(2015-2026)
1.2.4.5. Latin America Artificial Intelligence (AI) Market Revenue and Growth Rate(2015-2026)
1.2.4.6. Middle East and Africa (MEA) Artificial Intelligence (AI) Market Revenue and Growth Rate(2015-2026)

CHAPTER 2. MARKET DYNAMICS AND COMPETITION ANALYSIS
2.1. Market Drivers
2.2. Restraints and Challenges
2.3. Growth Opportunities
2.4. Porter’s Five Forces Analysis
2.4.1. Bargaining Power of Suppliers
2.4.2. Bargaining Power of Buyers
2.4.3. Threat of Substitute
2.4.4. Threat of New Entrants
2.4.5. Degree of Competition
2.5. Value Chain Analysis
2.6. Cost Structure Analysis
2.6.1. Raw Material and Suppliers
2.6.2. Manufacturing Process Analysis
2.7. Regulatory Compliance
2.8. Competitive Landscape, 2018
2.8.1. Player Positioning Analysis
2.8.2. Key Strategies Adopted By Leading Players

CHAPTER 3. MANUFACTURING PLANTS ANALYSIS
3.1. Capacity and Commercial Production Date of Global Pure Cashmere Major Manufacturers in 2018
3.2. Manufacturing Plants Distribution of Global Pure Cashmere Major Manufacturers in 2018
3.3. R&D Status and Technology Source of Global Pure Cashmere Major Manufacturers in 2018
3.4. Raw Materials Sources Analysis of Global Pure Cashmere Major Manufacturers in 2018

CHAPTER 4. ARTIFICIAL INTELLIGENCE (AI) MARKET BY TECHNOLOGY
4.1. Global Pure Cashmere Revenue By Technology
4.2. Image Processing
4.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.3. Machine Learning
4.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.4. Natural Language Processing
4.4.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.4.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
4.5. Speech Recognition
4.5.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
4.5.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)

CHAPTER 5. ARTIFICIAL INTELLIGENCE (AI) MARKET BY APPLICATION
5.1. Global Pure Cashmere Revenue By Application
5.2. IT & Telecom
5.2.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.2.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
5.3. Media & Advertising
5.3.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.3.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
5.4. BFSI
5.4.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.4.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
5.5. Automotive & Transportation
5.5.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.5.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
5.6. Retail
5.6.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.6.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
5.7. Healthcare
5.7.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.7.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)
5.8. Others
5.8.1. Market Revenue and Growth Rate, 2015 - 2026 ($Million)
5.8.2. Market Revenue and Forecast, By Region, 2015 - 2026 ($Million)

CHAPTER 6. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) MARKET BY COUNTRY
6.1. North America Artificial Intelligence (AI) Market Revenue and Growth Rate, 2015 - 2026 ($Million)
6.2. North America Artificial Intelligence (AI) Market Revenue Share Comparison, 2015 & 2026 (%)
6.3. U.S.
6.3.1. U.S.Artificial Intelligence (AI) Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
6.3.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
6.4. Canada
6.4.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
6.4.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)

CHAPTER 7. EUROPE ARTIFICIAL INTELLIGENCE (AI) MARKET BY COUNTRY
7.1. Europe Artificial Intelligence (AI) Market Revenue and Growth Rate, 2015 - 2026 ($Million)
7.2. Europe Artificial Intelligence (AI) Market Revenue Share Comparison, 2015 & 2026 (%)
7.3. UK
7.3.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
7.3.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
7.4. Germany
7.4.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
7.4.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
7.5. France
7.5.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
7.5.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
7.6. Spain
7.6.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
7.6.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
7.7. Rest of Europe
7.7.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
7.7.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)

CHAPTER 8. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) MARKET BY COUNTRY
8.1. Asia-Pacific Artificial Intelligence (AI) Market Revenue and Growth Rate, 2015 - 2026 ($Million)
8.2. Asia-Pacific Artificial Intelligence (AI) Market Revenue Share Comparison, 2015 & 2026 (%)
8.3. China
8.3.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
8.3.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
8.4. Japan
8.4.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
8.4.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
8.5. India
8.5.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
8.5.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
8.6. Australia
8.6.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
8.6.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
8.7. South Korea
8.7.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
8.7.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
8.8. Rest of Asia-Pacific
8.8.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
8.8.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)

CHAPTER 9. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) MARKET BY COUNTRY
9.1. Latin America Artificial Intelligence (AI) Market Revenue and Growth Rate, 2015 - 2026 ($Million)
9.2. Latin America Artificial Intelligence (AI) Market Revenue Share Comparison, 2015 & 2026 (%)
9.3. Brazil
9.3.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
9.3.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
9.4. Mexico
9.4.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
9.4.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
9.5. Rest of Latin America
9.5.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
9.5.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)

CHAPTER 10. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) MARKET BY COUNTRY
10.1. Middle East & Africa Artificial Intelligence (AI) Market Revenue and Growth Rate, 2015 - 2026 ($Million)
10.2. Middle East& Africa Artificial Intelligence (AI) Market Revenue Share Comparison, 2015 & 2026 (%)
10.3. GCC
10.3.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
10.3.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
10.4. South Africa
10.4.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
10.4.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)
10.5. Rest of Middle East & Africa
10.5.1. Market Revenue and Forecast By Technology, 2015 - 2026 ($Million)
10.5.2. Market Revenue and Forecast By Application, 2015 - 2026 ($Million)

CHAPTER 11. COMPANY PROFILE
11.1. Lifegraph
11.1.1. Company Snapshot
11.1.2. Overview
11.1.3. Financial Overview
11.1.4. Product Portfolio
11.1.5. Key Developments
11.1.6. Strategies
11.2. Zebra Medical Vision, Inc.
11.2.1. Company Snapshot
11.2.2. Overview
11.2.3. Financial Overview
11.2.4. Product Portfolio
11.2.5. Key Developments
11.2.6. Strategies
11.3. Sense.ly, Inc.
11.3.1. Company Snapshot
11.3.2. Overview
11.3.3. Financial Overview
11.3.4. Product Portfolio
11.3.5. Key Developments
11.3.6. Strategies
11.4. Baidu, Inc.
11.4.1. Company Snapshot
11.4.2. Overview
11.4.3. Financial Overview
11.4.4. Product Portfolio
11.4.5. Key Developments
11.4.6. Strategies
11.5. H2O ai
11.5.1. Company Snapshot
11.5.2. Overview
11.5.3. Financial Overview
11.5.4. Product Portfolio
11.5.5. Key Developments
11.5.6. Strategies
11.6. Atomwise, Inc.
11.6.1. Company Snapshot
11.6.2. Overview
11.6.3. Financial Overview
11.6.4. Product Portfolio
11.6.5. Key Developments
11.6.6. Strategies
11.7. NVIDIA
11.7.1. Company Snapshot
11.7.2. Overview
11.7.3. Financial Overview
11.7.4. Product Portfolio
11.7.5. Key Developments
11.7.6. Strategies
11.8. Enlitic, Inc.
11.8.1. Company Snapshot
11.8.2. Overview
11.8.3. Financial Overview
11.8.4. Product Portfolio
11.8.5. Key Developments
11.8.6. Strategies
11.9. Google LLC
11.9.1. Company Snapshot
11.9.2. Overview
11.9.3. Financial Overview
11.9.4. Product Portfolio
11.9.5. Key Developments
11.9.6. Strategies
11.10. Intel Corporation
11.10.1. Company Snapshot
11.10.2. Overview
11.10.3. Financial Overview
11.10.4. Product Portfolio
11.10.5. Key Developments
11.10.6. Strategies
11.11. IBM Watson Health
11.11.1. Company Snapshot
11.11.2. Overview
11.11.3. Financial Overview
11.11.4. Product Portfolio
11.11.5. Key Developments
11.11.6. Strategies
11.12. Intel Corporation
11.12.1. Company Snapshot
11.12.2. Overview
11.12.3. Financial Overview
11.12.4. Product Portfolio
11.12.5. Key Developments
11.12.6. Strategies
11.13. Microsoft Corporation
11.13.1. Company Snapshot
11.13.2. Overview
11.13.3. Financial Overview
11.13.4. Product Portfolio
11.13.5. Key Developments
11.13.6. Strategies
11.14. Others
11.14.1. Company Snapshot
11.14.2. Overview
11.14.3. Financial Overview
11.14.4. Product Portfolio
11.14.5. Key Developments
11.14.6. Strategies

CHAPTER 12. RESEARCH APPROACH
12.1. Research Methodology
12.1.1. Initial Data Search
12.1.2. Secondary Research
12.1.3. Primary Research
12.2. Assumptions and Scope

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