Artificial Intelligence (AI) in Consumer Goods – Thematic Research
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Explore trends and insights from the following data in our ‘Artificial Intelligence (AI) in Consumer Goods’ thematic report:
- The report assesses how AI, combined with other emerging technologies, can be used across the consumer value chain.
- It provides a detailed value chain analysis, which comprises hardware, data management, foundational AI, advanced AI capabilities, and delivery.
- This report offers a sectoral scorecard that has three screens: a thematic screen, a valuation screen, and a risk screen.
- It includes an overview of the current AI landscape, as well as key players, while also highlighting opportunities for the use of AI in the future.
- The report also provides an industry-specific analysis based on GlobalData databases and surveys.
How is the ‘Artificial Intelligence in Consumer Goods’ thematic report different from other reports in the market?
- Understand the impact of the AI theme on the consumer goods, food service, and packaging sectors.
- Understand the impact of generative AI on the consumer goods, food service, and packaging sectors.
- Access the latest data on the AI theme within the consumer goods, food service, and packaging sectors.
- Identify the leading digital transformation efforts from consumer goods, food service, and packaging companies through investment into the AI theme.
- Access case study insights on leading players within the AI theme.
We recommend this valuable source of information to anyone involved in:
- Retailers/Suppliers/White-label Manufacturers
- Technology Leaders and Startups
- Business Development and Market Intelligence
- Investment Analysts and Portfolio Managers
- Professional Services – Investment Banks, PE/VC firms
- M&A/Investment, Management Consultants, and Consulting Firms
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Artificial Intelligence (AI) in Consumer Thematic Report Overview
Recent progress in machine learning (ML) algorithms and increasing computing power have enabled AI to solve problems in real time. There are numerous potential uses for AI across consumer goods, foodservice, and packaging sectors as they are undergoing digital transformation, accelerated by the COVID-19 pandemic and changing consumer preferences.
The Artificial Intelligence (AI) in Consumer thematic research report assesses how AI, combined with other emerging technologies, can be used across the consumer value chain. It provides an overview of the current landscape, as well as key players, while also highlighting opportunities for the use of AI in the future. The report provides an industry-specific analysis based on GlobalData databases and surveys.
| Report Pages | 77 |
| Regions Covered | Global |
| CAGR (2022-2030) | >35% |
| Forecast Period | 2022-2030 |
| Value Chain | · Hardware
· Data Management · Foundational AI · Advanced AI Capabilities · Delivery |
| Leading AI Adopters | · AB InBev
· Chipotle · Coca-Cola |
| Leading AI Vendors | · Alibaba
· Alphabet · Amazon |
| Specialist AI Vendors | · Afresh Technologies
· AI Palette · AMP Robotics |
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AI in Consumer – Industry Analysis
The AI market is expected to achieve a CAGR of more than 35% between 2022 and 2030. The exponential growth of conversational platforms can be explained by the expansion in generative AI applications. A significant proportion of AI hardware revenues and sales of consulting and support services are driven by the sale of CV and conversational platforms. The growth in one sector is heavily intertwined with the growth in others.
Global AI Revenue by Product, 2022-2030 ($ Billion)
For more insights into the AI in consumer market forecast, download a free report sample
AI in Consumer - Value Chain Analysis
The AI value chain consists of hardware, data management, foundational AI, advanced AI capabilities, and delivery.
Hardware: The hardware value chain can be further divided into semiconductors, cameras, sensors and lasers, and servers, among others. The AI hardware stack is not too dissimilar from any IT system, although parts such as semiconductors, cameras, sensors, and edge equipment are very AI-specific. On the other hand, servers, storage, and networking equipment are standard and not designed specifically for AI use cases.
AI Value Chain Analysis
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Leading AI Adopters in Consumer Goods
Some of the leading consumer, foodservice, and packaging companies currently deploying AI are:
- AB InBev
- Chipotle
- Coca-Cola
Leading AI Vendors
Some of the leading players within the AI theme are:
- Alibaba
- Alphabet
- Amazon
Specialist AI Vendors in Consumer Goods
Some of the specialist AI vendors in the consumer goods, foodservice, and packaging sector are:
- Afresh Technologies
- AI Palette
- AMP Robotics
To know more about the leading AI adopters, vendors, and specialist AI vendors in the consumer theme, download a free report sample
Consumer Sector Scorecard
At GlobalData, we use a scorecard approach to predict tomorrow’s leading companies within each sector. Our non-life consumer sector scorecard has three screens: a thematic screen, a valuation screen, and a risk screen.
- The thematic screen ranks companies based on overall leadership in the 10 themes that matter most to their industry, generating a leading indicator of future performance.
- The valuation screen ranks our universe of companies within a sector based on selected valuation metrics.
- The risk screen ranks companies within a particular sector based on overall investment risk.
Consumer Sector Scorecard – Thematic Screen
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Segments Covered in the Report
AI Value Chain Outlook (Value, $ billion, 2022-2030)
- Hardware
- Data Management
- Foundational AI
- Advanced AI Capabilities
- Delivery
Key Highlights
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
ABB
Afresh Technologies
Ai Palette
Aifnet (Deep Dream)
Aiva Technologies
Alibaba
Alpha MOS
Alphabet (DeepMind
Waymo)
Amadeus Code
Amazon
AMP Robotics
Apple
Aromyx
Artbreeder
Aryballe
Aurora
Avery Dennison
Baidu
Basler
Berry Global
Big Sleep
Black Swan Data
Boomy
Chipotle
Coca-Cola
Cognex
DeepAI
Domino's
Ecrett Music
EverestLabs
Eversight
Festo
Generic Robotics
GM (Cruise)
Heineken
Hugging Face (Bloom)
Hyundai (Boston Dynamics)
IBM
iFlytek
iRobot
Jasper Art
Kernel
Keyence
Lockheed Martin
Mastercard (Dynamic Yield)
Megvii (Face++)
Merative
Meta (ESMFold)
Microsoft
Midea (KUKA)
Mobileye
Motional
Nestlé
Neuralink
NightCafe
Northop Grumman,Nuro
Nvidia
o9 Solutions
Odometric
Omron
OpenAI (DALL-E 2
GPT-4
MuseNet)
Oracle
Output
P&G
P&G
Paradromics
PepsiCo
Pluto7
Pony.ai
Robotiq
SAS
SenseTime
Shutterstock (Amper)
StarryAI
Starship Technologies
Symbotic
Synchron
Tangible Research
Tastewise
Tencent
Teradyne
Tesla
Tetra Laval
Thales Group
Unilever
WOMBO (Dream)
Yum! Brands
Table of Contents
Frequently asked questions
-
What is the AI market growth rate?
The AI market is expected to achieve a CAGR of more than 35% between 2022 and 2030.
-
Who are the leading AI adopters making their mark within the consumer theme?
Some of the leading adopters currently deploying AI are AB InBev, Chipotle, and Coca-Cola.
-
Who are the leading AI vendors making their mark within the consumer theme?
Some of the leading AI vendors making their mark within the consumer theme are Alibaba, Alphabet, and Amazon.
-
Who are the specialist AI vendors making their mark within the consumer theme?
Some of the specialist AI vendors making their mark within the consumer theme are Afresh Technologies, AI Palette, and AMP Robotics.
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