Artificial Intelligence (AI) - Thematic Intelligence

Artificial Intelligence (AI) - Thematic Intelligence

Summary

For decades artificial intelligence (AI) has primarily been the territory of university and corporate R&D labs. Recent progress in machine learning (ML) on the back of improved algorithms (e.g., Google’s AlphaGo, OpenAI’s GPT-3, Tesla’s AutoPilot) and increasing computing power have made it possible for AI to solve real-life problems. GlobalData estimates the total AI market will be worth $383.3 billion in 2030, implying a 21% compound annual growth rate between 2022 and 2030. In the coming decade, the country that emerges on top in AI will lead the Fourth Industrial Revolution.

Despite the hype, artificial general intelligence (AGI), or the ability of machines to do anything that a human can and possess consciousness, is still decades away. However, ‘good enough’ AI is already here, capable of interacting with humans, motion, and making decisions. For example, OpenAI’s GPT-3 and ChatGPT models can write original prose and chat with human fluency, DeepMind's algorithms can beat the best human chess players, and Boston Dynamics' Atlas robots can somersault. If this evolution continues, it could upend the labor-based capitalist economic model.

Driven by ethical and political concerns, using AI for facial recognition will lead to conflict in standards and regulatory approaches. This will lead to the break-up of the global supply chain in the AI segment, as is already underway in semiconductors. Ultimately stricter ethical regulation will break the global AI market into geopolitical silos, in isolation from one another.

Scope

  • This report provides an overview of the artificial intelligence theme.
  • It identifies the key trends impacting growth of the theme over the next 12 to 24 months.
  • It includes a comprehensive industry analysis, including market size and growth forecasts for AI hardware, AI platforms, AI consulting and support services, and specialized AI applications.
  • The detailed value chain breaks down artificial intelligence into five segments: hardware, data management, foundational AI, advanced AI capabilities, and delivery.
Reasons to Buy
  • From self-driving vehicles to fraud detection, AI plays a role in virtually every industry, putting pressure on incumbents to adapt and innovate or face stagnation and possible elimination. This report is an invaluable guide to this highly disruptive theme, including analysis of key AI technologies and assessment of the leading providers.


Executive Summary
Players
Technology Briefing
What is AI?
Branches of AI
Weak AI
Strong AI
The AI roadmap
Advanced AI capabilities
Trends
Technology trends
Macroeconomic trends
Regulatory trends
Industry Analysis
Market size and growth forecasts
Mergers and acquisitions
Venture financing
Patent trends
Company filings trends
Hiring trends
Social media trends
Use cases
Automotive
Consumer electronics
Cybersecurity
Ecommerce and retail
Financial services
Healthcare
Timeline
Value Chain
Hardware
Semiconductors
Cameras
Sensors and lasers
Servers
Storage devices
Networking equipment
Edge equipment
Data management
Data governance and security
Data storage
Data processing
Data aggregation
Data integration
Foundational AI
Data science
Machine learning
3D modeling
Knowledge representation and reasoning
Visualization engines
Advanced AI capabilities
Human-AI interaction
Decision-making
Motion
Creation
Sentience
Delivery
Hardware appliance
Licensed software
Artificial intelligence as a service
Companies
Public companies
Private companies
Sector Scorecards
Application software sector scorecard
Who’s who
Thematic screen
Valuation screen
Risk screen
Semiconductor sector scorecard
Who’s who
Thematic screen
Valuation screen
Risk screen
Consumer electronics sector scorecard
Who’s who
Thematic screen
Valuation screen
Risk screen
Glossary
Further Reading
GlobalData reports
Our Thematic Research Methodology
About GlobalData
Contact Us
List of Tables
Table 1: Technology trends
Table 2: Macroeconomic trends
Table 3: Regulatory trends
Table 4: Key M&A transactions associated with the AI theme since January 2021
Table 5: Venture financing
Table 6: Public companies
Table 7: Private companies
Table 8: Glossary
Table 9: GlobalData reports
List of Figures
Figure 1: Who are the leading players in the AI theme, and where do they sit in the value chain?
Figure 2: Artificial neural networks emulate the brain
Figure 3: Symbolic AI is the main type of strong AI
Figure 4: Google’s Gato aims for general AI
Figure 5: Limited memory AI keeps track of the world
Figure 6: We are at the early stages of the AI roadmap
Figure 7: There are five categories of advanced AI capabilities
Figure 8: The global market for specialized AI applications will be worth $146 billion by 2030
Figure 9: The global specialized AI applications marke8t will grow at a CAGR of 21%
Figure 10: North America and Asia Pacific are the leading AI markets
Figure 11: Businesses all around the world view AI as a disruptive theme
Figure 12: COVID-19 was a catalyst for increased AI adoption across all industries
Figure 13: IBM, Microsoft, and Samsung Group lead the way in AI-related patents
Figure 14: AI-related patent publications in the TMT sector have accelerated since 2018
Figure 15: AI mentions in company filings in the TMT sector accelerated in 2020
Figure 16: AI-related hiring in the TMT sector peaked in April 2022
Figure 17: AI remains a consistent talking point
Figure 18: Mobileye is a leading provider of automotive CV
Figure 19: Virtual assistants are now part of everyday life, and they are getting more sophisticated
Figure 20: AI can support advanced photo editing
Figure 21: AI underpins Amazon recommendations
Figure 22: CV can improve ATM security and usability
Figure 23: CV and AI provide clinical decision support
Figure 24: The AI story
Figure 25: The artificial intelligence value chain
Figure 26: The AI value chain - Hardware – semiconductors
Figure 27: The AI value chain - Hardware – cameras
Figure 28: The AI value chain - Hardware – sensors and lasers
Figure 29: The AI value chain - Hardware – servers
Figure 30: The AI value chain - Hardware – storage devices
Figure 31: The AI value chain - Hardware – networking equipment
Figure 32: The AI value chain - Hardware – edge equipment
Figure 33: The AI value chain - Data management
Figure 34: The AI value chain - Foundational AI – data science
Figure 35: The AI value chain - Foundational AI – machine learning
Figure 36: The AI value chain - Foundational AI – 3D modeling
Figure 37: The AI value chain - Foundational AI – knowledge representation and reasoning
Figure 38: The AI value chain - Foundational AI – visualization engines
Figure 39: The AI value chain - Foundational AI – visualization engines
Figure 40: The AI value chain - Advanced AI capabilities – decision-making
Figure 41: The AI value chain - Advanced AI capabilities – motion
Figure 42: The AI value chain - Advanced AI capabilities – creation
Figure 43: The AI value chain - Advanced AI capabilities – sentience
Figure 44: The AI value chain - Delivery
Figure 45: Who does what in the application software space?
Figure 46: Thematic screen - Application software sector scorecard
Figure 47: Valuation screen - Application software sector scorecard
Figure 48: Risk screen - Application software sector scorecard
Figure 49: Who does what in the semiconductor space?
Figure 50: Thematic screen - Semiconductor sector scorecard
Figure 51: Valuation screen - Semiconductor sector scorecard
Figure 52: Risk screen - Semiconductor sector scorecard
Figure 53: Who does what in the consumer electronics space?
Figure 54: Thematic screen - Consumer electronics sector scorecard
Figure 55: Valuation screen - Consumer electronics sector scorecard
Figure 56: Risk screen - Consumer electronics sector scorecard
Figure 57: Our five-step approach for generating a sector scorecard

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook
Cookie Settings