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The technologies in artificial intelligence have undergone significant change in recent years, with deep learning to advanced computer vision. The rising wave of new technologies, such as machine learning, natural language processing, context-aware computing, and computer vision technology are creating significant potential for artificial intelligence in various electronic platforms due to improved reliability, accuracy, and low cost.

In artificial intelligence market, various technologies, such as machine learning, natural language processing, context-aware computing, and computer vision technologies are used in the various applications. Increasing demand for virtual assistance for easy accessibility of services and growing adoption of cloud-based technology .are creating new opportunities for various artificial intelligence technologies.

Some of the latest technological developments by various countries in the artificial intelligence (AI) market are as follows:
  • United States: Google and Microsoft continue to lead in AI innovation. Google's DeepMind announced breakthroughs in machine learning algorithms for the healthcare applications, aiming to improve diagnostics and treatment outcomes. Microsoft has been focusing on expanding its Azure AI platform, recently introducing new natural language processing (NLP) capabilities for better understanding and processing human language.
  • China: Baidu and Alibaba are investing heavily in AI. Baidu's Apollo project aims to advance autonomous driving technology using machine learning and computer vision. Alibaba has been integrating AI into its e-commerce platform to enhance customer experience and streamline operations.
  • United Kingdom: DeepMind and Graphcore are driving AI innovation in the UK. DeepMind has made strides in reinforcement learning algorithms for various applications, including gaming and robotics. Graphcore's AI processors have gained attention for their performance in training deep learning models.
This report analyzes technology maturity, degree of disruption, competitive intensity, market potential, and other parameters of various technologies in the artificial intelligence (AI) market. Some insights are depicted below by a sample figure. For more details on figures, the companies researched, and other objectives/benefits on this research report, please download the report brochure.

 
 
AI Technology Market
 
 
AI Technology Segments
 
 
AI Technology Heat Map

The study includes technology readiness, competitive intensity, regulatory compliance, disruption potential, trends, forecasts and strategic implications for the global artificial intelligence (AI) technology by application, technology, and region as follows:

Technology Readiness by Technology Type

Competitive Intensity and Regulatory Compliance

Disruption Potential by Technology Type
 
Trends and Forecasts by Technology Type [$M shipment analysis from 2018 to 2030]:
  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
 
Trends and Forecasts by Application [$M shipment analysis from 2018 to 2030]:
  • Media and Advertising
    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision
  • Security
    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision
  • Automotive
    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision
  • Healthcare
    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision
  • Retail
    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision
  • Fintech
    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision
  • Manufacturing
    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision
  • Other
    • Machine Learning
    • Natural Language Processing
    • Context-Aware Computing
    • Computer Vision
Trends and Forecasts by Region [$M shipment analysis for 2018 to 2030]:
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
  • Asia Pacific
    • Japan
    • China
    • South Korea
    • India
  • The Rest of the World
Latest Developments and Innovations in the Artificial Intelligence (AI) Technologies

Companies / Ecosystems

Strategic Opportunities by Technology Type

Some of the artificial intelligence (AI) companies profiled in this report include Intel, NVIDIA, Xilinx, Samsung, Facebook, Micron Technology, IBM, Google, Microsoft, and AWS.

Below are the latest technological developments from top companies in the artificial intelligence (AI) market:
  • Google recently announced the launch of "Vertex AI," a unified platform for building, training, and deploying machine learning models at scale. Vertex AI streamlines the machine learning workflow, offering automated tools for data preprocessing, model training, and deployment, thereby enabling developers to accelerate AI development and deployment processes.
  • OpenAI introduced "GPT-4," the latest iteration of its Generative Pre-trained Transformer (GPT) series, designed to excel in natural language understanding and generation tasks. GPT-4 features enhanced capabilities in understanding context, generating coherent responses, and performing complex language-based tasks, positioning it as a significant advancement in NLP technology.
  • IBM unveiled "Watson Orchestrate," a new offering within its Watson AI suite, aimed at enabling context-aware computing capabilities. Watson Orchestrate leverages AI algorithms to analyze contextual information from various sources and automate routine tasks, such as scheduling meetings, generating reports, and coordinating workflows, thereby improving productivity and decision-making processes.
  • NVIDIA introduced "Maxine 2.0," an advanced video conferencing platform powered by AI-driven computer vision technology. Maxine 2.0 offers features, such as intelligent framing, background removal, and facial expression enhancement, leveraging deep learning algorithms to enhance the video conferencing experience and facilitate remote collaboration.
This report answers following 9 key questions:
Q.1 What are some of the most promising and high-growth technology opportunities for the artificial intelligence (AI) market?
Q.2 Which technology will grow at a faster pace and why?
Q.3 What are the key factors affecting dynamics of different technologies? What are the drivers and challenges of these technologies in artificial intelligence (AI) market?
Q.4 What are the levels of technology readiness, competitive intensity and regulatory compliance in this technology space?
Q.5 What are the business risks and threats to these technologies in artificial intelligence (AI) market?
Q.6 What are the latest developments in artificial intelligence (AI) technologies? Which companies are leading these developments? 
Q.7 Which technologies have potential of disruption in this market?
Q.8 Who are the major players in this artificial intelligence (AI) market? What strategic initiatives are being implemented by key players for business growth?
Q.9 What are strategic growth opportunities in this artificial intelligence (AI) technology space?
Table of Contents

1. Executive Summary

2. Technology Landscape
2.1. Technology Background and Evolution
2.2. Technology and Application Mapping
2.3. Supply Chain

3. Technology Readiness
3.1. Technology Commercialization and Readiness
3.2. Drivers and Challenges in Artificial Intelligence (AI) Technologies
3.3. Competitive Intensity
3.4. Regulatory Compliance

4. Technology Trends and Forecasts Analysis from 2018-2030
4.1. Artificial Intelligence (AI) Opportunity
4.2. Technology Trends (2018-2023) and Forecasts (2024-2030)
4.2.1. Machine Learning
4.2.2. Natural Language Processing
4.2.3. Context-Aware Computing
4.2.4. Computer Vision
4.3. Technology Trends (2018-2023) and Forecasts (2024-2030) by Application Segments
4.3.1. Media and Advertising
4.3.1.1. Machine Learning
4.3.1.2. Natural Language Processing
4.3.1.3. Context-Aware Computing
4.3.1.4. Computer Vision
4.3.2. Security
4.3.2.1. Machine Learning
4.3.2.2. Natural Language Processing
4.3.2.3. Context-Aware Computing
4.3.2.4. Computer Version
4.3.3. Automotive
4.3.3.1. Machine Learning
4.3.3.2. Natural Language Processing
4.3.3.3. Context-Aware Computing
4.3.3.4. Computer Vision
4.3.4. Healthcare
4.3.4.1. Machine Learning
4.3.4.2. Natural Language Processing
4.3.4.3. Context-Aware Computing
4.3.4.4. Computer Vision
4.3.5. Fintech
4.3.5.1. Machine Learning
4.3.5.2. Natural Language Processing
4.3.5.3. Context-Aware Computing
4.3.5.4. Computer Vision
4.3.6. Manufacturing
4.3.6.1. Machine Learning
4.3.6.2. Natural Language Processing
4.3.6.3. Context-Aware Computing
4.3.6.4. Computer Vision
4.3.7. Other
4.3.7.1. Machine Learning
4.3.7.2. Natural Language Processing
4.3.7.3. Context-Aware Computing
4.3.7.4. Computer Vision

5. Technology Opportunities (2018-2030) by Region
5.1. Artificial Intelligence (AI) Market by Region
5.2. North American Artificial Intelligence (AI) Technology Market
5.2.1. United States Artificial Intelligence (AI) Technology Market
5.2.2. Canadian Artificial Intelligence (AI) Technology Market
5.2.3. Mexican Artificial Intelligence (AI) Technology Market
5.3. European Artificial Intelligence (AI) Technology Market
5.3.1. The United Kingdom Artificial Intelligence (AI) Technology Market
5.3.2. German Automotive Artificial Intelligence (AI) Technology Market
5.3.3. French Automotive Artificial Intelligence (AI) Technology Market
5.4. APAC  Artificial Intelligence (AI) Technology Market
5.4.1. Chinese Artificial Intelligence (AI) System Technology Market
5.4.2. Japanese Artificial Intelligence (AI) System Technology Market
5.4.3. Indian Artificial Intelligence (AI) System Technology Market
5.4.4. South Korean Artificial Intelligence (AI) Technology Market
5.5. ROW Artificial Intelligence (AI) Technology Market

6. Latest Developments and Innovations in the Artificial Intelligence (AI) Technologies

7. Companies / Ecosystem
7.1. Product Portfolio Analysis
7.2. Market Share Analysis
7.3. Geographical Reach

8. Strategic Implications
8.1. Implications
8.2. Growth Opportunity Analysis
8.2.1. Growth Opportunities Analysis by Technology Type
8.2.2. Growth Opportunities Analysis by Application
8.2.3. Growth Opportunities Analysis by Region
8.3. Emerging Trends in the Artificial Intelligence (AI) Market
8.4. Disruption Potential
8.5. Strategic Analysis
8.5.1. New Product Development
8.5.2. Capacity Expansion of the Artificial Intelligence (AI) Market
8.5.3. Mergers, Acquisitions, and Joint Ventures in the Artificial Intelligence (AI) Market
 
9. Company Profiles of Leading Players
9.1. Intel
9.2. NVIDIA
9.3. Xilinx
9.4. Samsung
9.5. Facebook
9.6. Micron Technology
9.7. IBM
9.8. Google
9.9. Microsoft
9.10. AWS
.

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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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