
Artificial Intelligence (AI) in Consumer - Thematic Intelligence
Description
Artificial Intelligence (AI) in Consumer - Thematic Intelligence
Summary
Artificial intelligence (AI) refers to software-based systems that use data inputs to make decisions on their own. Recent progress in machine-learning (ML) algorithms (e.g., OpenAI's GPT-4) and increasing computing power have enabled AI to solve problems in real-time. GlobalData estimates the total AI market will be worth $909 billion in 2030, growing at a compound annual growth rate (CAGR) of 35.2% between 2022 and 2030.
The consumer goods, foodservice, and packaging sectors are undergoing digital transformation, accelerated by the COVID-19 pandemic and changing consumer preferences. There are numerous potential uses for AI across these sectors. Data science and ML are strong investments across all areas. However, the sectors cannot stop at AI-powered data analytics applications. They must also explore computer vision (CV), smart robots, AI sensors that automate manufacturing and distribution logistics, and generative AI tools that increase efficiency across corporate departments and customer service operations and enable innovation in product design.
Reasons to Buy
- Understand the impact of the AI theme on the consumer goods, foodservice, and packaging sectors. Understand the impact of generative AI on the consumer goods, foodservice, and packaging sectors. Access the latest data on the AI theme within the consumer goods, foodservice, and packaging sectors. Identify the leading digital transformation efforts from consumer goods, foodservice, and packaging companies through investment into the AI theme. Access case study insights on leading players within the AI theme.
Table of Contents
83 Pages
- Executive Summary
- Players
- Consumer Challenges
- The Impact of AI on Consumer
- How AI helps resolve the challenge of high inflation
- How AI helps tackle the challenge of ESG
- How AI helps resolve the challenge of supply chain management
- How AI helps tackle innovation and changing consumer preferences
- How AI helps resolve the challenge of the future of work
- Case Studies
- Tastewise integrates TasteGPT into its data analytics platform
- Avery Dennison uses ChatGPT to improve supply chain efficiency
- Wendy's automates drive-thru experiences with generative AI
- EverestLabs use of AI to automate recycling plants
- Starship and Nuro develop autonomous delivery vehicles
- AI Timeline
- Market Size and Growth Forecasts
- Signals
- Mergers and acquisitions
- Patent trends
- Company filings trends
- Hiring trends
- Social media trends
- AI 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 (also known as generative AI)
- Sentience
- Delivery
- Hardware appliance
- Licensed software
- Artificial intelligence as a service
- Companies
- Leading AI adopters in consumer goods
- Leading AI vendors
- Specialist AI vendors in Consumer goods
- Sector Scorecards
- Consumer sector scorecard
- Foodservice sector scorecard
- Packaging sector scorecard
- Glossary
- Further Reading
- GlobalData reports
- Our Thematic Research Methodology
- About GlobalData
- Contact Us
- List of Tables
- Table 1: Key challenges facing the consumer goods, packaging, and foodservice sectors
- Table 2: Mergers and acquisitions
- Table 3: Companies
- Table 4: Leading AI vendors
- Table 5: Specialist AI vendors in Consumer goods
- Table 6: Glossary
- Table 7: GlobalData reports
- List of Figures
- Figure 1: Key players in the advanced AI capabilities value chain
- Figure 2: Consumers are extremely concerned about the impact of inflation on household budgets
- Figure 3: Thematic impact assessment
- Figure 4: EverestLabs is an AI-powered robotics automation solutions provider for recycling plants
- Figure 5: The AI story
- Figure 6: The global AI market will be worth $909 billion by 2030
- Figure 7: AI-related patent publications in the consumer goods sector peaked in 2021
- Figure 8: AI technologies are a battleground in the geopolitical competition between the US and China
- Figure 9: In 2021, AI mentions in company filings peaked at 2,977
- Figure 10: AI-related active job listings peaked in February 2022
- Figure 11: Total AI social media mentions peaked in January 2023
- Figure 12: The AI value chain - An overview
- Figure 13: The AI value chain - Hardware - semiconductors
- Figure 14: The AI value chain - Hardware - cameras
- Figure 15: The AI value chain - Hardware – sensors and lasers
- Figure 16: The AI value chain - Hardware – servers
- Figure 17: The AI value chain - Hardware – storage devices
- Figure 18: The AI value chain - Hardware – networking equipment
- Figure 19: The AI value chain - Hardware – edge equipment
- Figure 20: The AI value chain - Data management
- Figure 21: The AI value chain - Foundational AI – data science
- Figure 22: The AI val9ue chain - Foundational AI – machine learning
- Figure 23: The AI value chain - Foundational AI – 3D modeling
- Figure 24: The AI value chain - Foundational AI – knowledge representation and reasoning
- Figure 25: The AI value chain - Foundational AI – visualization engines
- Figure 26: The AI value chain - Advanced AI capabilities– human-AI interaction
- Figure 27: The AI value chain - Advanced AI capabilities– decision-making
- Figure 28: The AI value chain - Advanced AI capabilities– motion
- Figure 29: The AI value chain - Advanced AI capabilities– creation
- Figure 30: The AI value chain - Advanced AI capabilities– sentience
- Figure 31: The AI value chain - Delivery
- Figure 32: Who does what in the consumer space?
- Figure 33: Thematic screen - Consumer sector scorecard
- Figure 34: Valuation screen - Consumer sector scorecard
- Figure 35: Risk screen - Consumer sector scorecard
- Figure 36: Who does what in the foodservice space?
- Figure 37: Thematic screen - Foodservice sector scorecard
- Figure 38: Valuation screen - Foodservice sector scorecard
- Figure 39: Risk screen - Foodservice sector scorecard
- Figure 40: Who does what in the packaging space?
- Figure 41: Thematic screen - Packaging sector scorecard
- Figure 42: Valuation screen - Packaging sector scorecard
- Figure 43: Risk screen - Packaging sector scorecard
- Figure 44: Our five-step approach for generating a sector scorecard
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