Artificial Intelligence (AI) & Machine Learning Industry Market Research

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Artificial Intelligence (AI) & Machine Learning OVERVIEW

Artificial Intelligence (AI) and Machine Learning (ML) are reshaping industries at an unprecedented pace.  In 2024, global AI spending reached $235 billion, and it's expected to soar to $636 billion by 2028.  From generative AI to self-driving technology, AI is rapidly transforming business, society and everyday life.
1. Generative AI Revolution
The explosion of Generative AI (GenAI) tools is one of the most defining trends.  Companies like OpenAI (ChatGPT), StabilityAI and Anthropic (Claude) continue to launch AI-powered models capable of generating text, images, code and music.  Google’s Gemini and OpenAI’s ChatGPT have evolved into research assistants, capable of synthesizing complex information from vast online sources in real time.  However, as GenAI becomes more sophisticated, concerns over copyright, fair use and ethical AI development are intensifying.  Lawsuits from publishers and artists are raising critical legal questions about AI's reliance on human-generated data.
2. AI in Business and Automation
AI is transforming industries such as healthcare, finance, insurance and supply chain management.  In healthcare, AI-powered tools are revolutionizing disease diagnosis, pharmaceutical research and personalized medicine.  Financial institutions are using AI-driven risk modeling and fraud detection to enhance security.  One of the biggest disruptions is robotic process automation (RPA).  AI-driven bots are replacing repetitive human tasks in customer service, legal document processing and financial services.  Insurance companies are increasingly relying on AI-driven underwriting, with some policyholders voluntarily tracking their habits via wearables for better rates.
3. AI and the Rise of Smart Cities
Cities worldwide are integrating AI with the Internet of Things (IoT) to optimize infrastructure, reduce congestion and enhance sustainability.  For example, AI-powered traffic management systems are reducing commute times by up to 20%, while smart energy grids are improving efficiency and reducing waste.  However, AI-driven surveillance systems in smart cities are sparking privacy concerns.  The balance between security and personal freedom remains a hotly debated topic.
4. AI in Transportation: Self-Driving Vehicles and Logistics
The race for autonomous vehicles continues, with companies like Waymo, Tesla and Uber investing billions in research and development.  AI-powered telematics and predictive diagnostics are improving vehicle safety and efficiency.  In logistics, AI is optimizing supply chain operations, reducing delays and improving warehouse automation.  Robotics and AI-powered delivery drones are becoming more common, particularly in e-commerce fulfillment.
5. The Impact of AI on Jobs and the Workforce
A major concern with AI’s rapid advancement is job displacement.  Goldman Sachs estimates that 25% of all work could be automated eventually, particularly in customer service, software engineering and financial analysis.  However, AI is also creating new jobs in AI ethics, servers, data centers, prompt engineering and AI model training.
6. AI, Cybersecurity, and Ethical Concerns
As AI adoption grows, so do cybersecurity threats.  Hackers are increasingly using AI to enhance phishing attacks, crack security systems and automate cybercrime.  At the same time, AI-driven cybersecurity solutions are helping companies defend against evolving threats.  Ethical concerns regarding AI bias, misinformation and altered or manipulated video (deepfakes) are also gaining attention.  Governments and tech leaders are calling for stricter regulations to ensure responsible AI deployment.

PLUNKETT PROVIDES IN-DEPTH STATISTICS TABLES COVERING THE FOLLOWING INDUSTRY TOPICS:

Top Companies Profiled

The following is a partial listing for this industry. As a subscriber, you will have access to the leading companies and top growth companies. This includes publicly-held, private, subsidiary and joint venture companies, on a global basis as well as in the U.S.

PLUNKETT PROVIDES UNIQUE ANALYSIS OF THE FOLLOWING TRENDS THAT ARE DRIVING THIS INDUSTRY:

Key Findings:

A complete market research report, including forecasts and market estimates, technologies analysis and developments at innovative firms within the Artificial Intelligence (AI) & Machine Learning Industry. Gain vital insights that can help shape strategy for business development, product development and investments.

Key Features:

  • Business trends analysis
  • In-depth industry overview
  • Technology trends analysis
  • Forecasts
  • Spending, investment, and consumption discussions
  • In-depth industry statistics and metrics
  • Industry employment numbers

Additional Key Features Include:

Industry Glossary

Industry Contacts list, including Professional Societies and Industry Associations

Profiles of industry-leading companies

  • U.S. and Global Firms
  • Publicly held, Private and Subsidiaries
  • Executive Contacts
  • Revenues

  • For Public Companies: Detailed Financial Summaries

  • Statistical Tables

Key Questions Answered Include:

  • How is the industry evolving?
  • How is the industry being shaped by new technologies?
  • How is demand growing in emerging markets and mature economies?
  • What is the size of the market now and in the future?
  • What are the financial results of the leading companies?
  • What are the names and titles of top executives?
  • What are the top companies and what are their revenues?

This feature-rich report covers competitive intelligence, market research and business analysis—everything you need to know about the Artificial Intelligence (AI) & Machine Learning Industry.

Plunkett Research Provides Unique Analysis of the Following Major Trends Affecting the Artificial Intelligence (AI) & Machine Learning Industry

  1. Major Trends Affecting the Artificial Intelligence (AI) and Machine Learning Industry

  2. Introduction to the Artificial Intelligence (AI) & Machine Learning Industry

  3. A Brief History of Artificial Intelligence (AI) and the State of the Industry Today

  4. DeepSeek Shakes up the LLMs/Reinforcement and Recursive Self Learning/Synthetic Data

  5. The Pros & Cons of Artificial Intelligence (AI) & Machine Learning

  6. Voice, Face & Image Recognition Change the Wireless World, Artificial Intelligence (AI) Tools Added to Smartphones

  7. OpenAI (ChatGPT), StabilityAI, Anthropic (Claude) and Others Launch Impressive Tools that Generate Text, Art, Code and Smart ChatBots

  8. Smart Cities Utilize Sensors and Artificial Intelligence (AI)/Create Privacy and Security Issues

  9. The Internet of Things (IoT) and M2M to Boom, Enhanced by Artificial Intelligence (AI)/Open New Avenues for Hacking

  10. Wireless Information Systems Surge Ahead in Vehicles: Telematics, Intelligent Transportation (ITS) and Real Time Traffic Information

  11. Self-Driving, Autonomous Cars Receive Massive Investments in Research and Development Worldwide

  12. Insurance Underwriting Uses Artificial Intelligence (AI)/Policy Holders Allow Their Habits to Be Tracked for Lower Insurance Rates

  13. Financial Technology (FinTech) Enables Online Payments, Lending, Insurance and Robo Advisors

  14. Artificial Intelligence (AI) Enables Life Insurance Underwriting

  15. Robotics, Artificial Intelligence (AI) and Automation Revolutionize Supply Chain and Logistics Systems

  16. Artificial Intelligence (AI), Deep Learning and Machine Learning Advance into Commercial Applications, Including Health Care and Robotics

  17. Industrial Robots and Factory Automation Advance Through Artificial Intelligence (AI)

  18. Service Robots Are Applied in a Variety of Industries/Rapid Growth in Robotics for Warehousing and Logistics

  19. GenAI Agents & Robotic Process Automation (RPA) Are Replacing Human Workers

  20. Digital Assistants Include Amazon’s Echo and Google’s Home/Alexa and Similar Software Power Third-Party Developers

  21. Virtual Reality/Augmented Reality and 3-D Technologies Create Opportunities for the Tech Industry/Immersion Games to Grow

  22. Hot Fields Within Computers, Hardware & Software Include Artificial Intelligence (AI), Cybersecurity and the Internet of Things (IoT)

  23. Growth in Big Data Supported by Expansion of Cloud Computing and Predictive Analytics

  24. Artificial Intelligence (AI) Powers Hedge Fund Investment Strategies

  25. Pharmaceutical R&D Improves with Artificial Intelligence (AI)

  26. Chips Built with Low Nanometer, High Density Design/Faster Chips Power Artificial Intelligence (AI)/Processor Development Booms

  27. Artificial Intelligence (AI) Enables Efficiencies and Accelerated Innovation in R&D

  28. AI Profoundly Impacts the Entertainment Industry

  29. Grid Enhancements Are Vital to Power Artificial Intelligence (AI) and Distribute Renewable Energy

Plunkett Research Provides In-Depth Tables for the Following Artificial Intelligence (AI) & Machine Learning Industry Statistics

  1. Artificial Intelligence Industry Statistics and Market Size Overview

  2. Global Digital, Network, Computer & Telecom Industries--Key Statistics & Market Size Overview

  3. U.S. InfoTech Industry Quarterly Revenue: Q4 2023-Q3 2024

  4. Software Publishing Industry, U.S.: Estimated Revenue, Inventories & Expenses: 2017-2022

  5. Software Publishing Industry, U.S.: Estimated Selected Expenses: 2017-2022

  6. Data Processing, Hosting, and Related Services Industry, U.S.: Estimated Revenue & Expenses: 2017-2022

  7. Data Processing, Hosting, and Related Services Industry, U.S.: Estimated Selected Expenses: 2017-2022

  8. Research Funding for Computer and Information Science Engineering, U.S. National Science Foundation: Fiscal Years 2022-2024

  9. Internet Access Technologies Compared

  10. Artificial Intelligence Related Industry Employment by Business Type, U.S.: 2019-October 2024

  11. Artificial Intelligence Related Occupational Employment and Wage Estimates, U.S.: May 2023

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eBook or Book:

This industry onlyPublication date: Mar 2025
ISBN-13: 978-1-64788-553-3
ISBN-13: 978-1-64788-061-3
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