Industry Research Finds Establishing a Foundation for AI is Top Priority for CPG Enterprises

Veeva (NYSE:VEEV) highlighted findings from the State of AI in Consumer Goods Report dated January 27, 2026, showing AI-readiness is a top priority for CPG companies.

Rhea-AI Summary

Veeva (NYSE:VEEV) highlighted findings from the State of AI in Consumer Goods Report dated January 27, 2026, showing AI-readiness is a top priority for CPG companies.

Key findings: 82% of respondents are consolidating systems to unified platforms for standardized data; 72% are using, preparing, or planning agentic AI for manufacturing; main barriers include compliance/security and cost (both 60%) and integration complexity (58%).

Positive

• 82% of CPGs consolidating systems toward unified platforms
• 72% are using, preparing, or planning agentic AI for manufacturing
• 66% identified high-quality data infrastructure as a top enabler

Negative

• 60% cite compliance and security as a barrier to AI adoption
• 60% report high costs and resource constraints limiting AI
• 58% report integration complexity with existing systems

Argus Jan 27 session

-2.81% close to close Open Argus

Details

News Market Reaction – VEEV

In the Jan 27 session, VEEV declined 2.81%, reflecting a moderate negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement highlights growing AI-readiness priorities in CPG, with 82% of organizations movin...

Analysis

This announcement highlights growing AI-readiness priorities in CPG, with 82% of organizations moving toward unified platforms and 72% engaging with agentic AI. For Veeva, it reinforces the relevance of its prior AI initiatives, including Veeva AI and AI Agents across Vault applications. Investors may watch how effectively the company addresses barriers like integration complexity and supports high‑quality data infrastructure, given its position below the $263.42 200-day moving average at $224.18.

Key Figures

Unified platforms adoption: 82% Agentic AI adoption: 72% Compliance & security barrier: 60% +5 more

Unified platforms adoption

82%

Organizations consolidating legacy systems into unified platforms

Agentic AI adoption

72%

CPG companies using, preparing, or planning to adopt agentic AI

Compliance & security barrier

60%

Respondents citing compliance and security as AI deployment challenge

Integration complexity barrier

58%

Respondents citing integration complexity with existing systems

Manual or mixed processes

64%

CPGs using digital/manual mix or mostly manual processes

Top predictive analytics reason

24%

Citing quality and compliance assurance as key value

Employee training enabler

72%

Viewing comprehensive training as top AI enabler

Survey sample

150+ leaders

IT and functional leaders at global CPG companies in the U.S.

Previous AI Reports

5 past events · Latest: Dec 03

Same Type 5 events

1. Dec 03

   AI product launch

   24h Move

   +0.5%

   Launch of Veeva AI Agents for Vault CRM and PromoMats to boost productivity.

2. Oct 14

   AI rollout plan

   24h Move

   +0.6%

   Planned rollout schedule for Veeva AI Agents across applications through 2026.

3. Apr 29

   AI initiative launch

   24h Move

   +2.6%

   Announcement of Veeva AI to add AI capabilities across the Vault Platform.

4. Feb 27

   AI data API

   24h Move

   -2.8%

   Direct Data API added to Vault Platform to enable faster data access for AI.

5. Nov 20

   AI CRM features

   24h Move

   +0.3%

   New GenAI capabilities CRM Bot and Voice Control for Vault CRM announced.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

agentic ai, predictive analytics

2 terms

agentic ai technical

"A majority (72%) of CPG companies are using, preparing, or planning to adopt agentic AI"

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

predictive analytics technical

"CPGs want AI-powered predictive analytics: The top three reasons respondents say AI-powered predictive analytics"

Predictive analytics uses historical data and patterns to estimate future outcomes, like sales, customer behavior, or operational problems. For investors it matters because it turns past signals into probable forecasts—similar to a weather forecast or traffic app—helping assess potential risks, spot opportunities, and prioritize where to allocate capital, while remembering that predictions carry uncertainty and are not guarantees.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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82% of organizations moving to unified platforms for standardized data and processes, AI readiness

PLEASANTON, Calif., Jan. 27, 2026 /PRNewswire/ -- A new industry report shows that building an AI-ready infrastructure is a top priority for consumer product goods (CPG) companies. The State of AI in Consumer Goods Report found most (82%) respondents are actively consolidating legacy systems or transitioning from best-of-breed solutions into unified platforms. Moving to a platform can provide connectivity across systems for standardized data and processes, a critical requirement for applying AI use cases.

A majority (72%) of CPG companies are using, preparing, or planning to adopt agentic AI to advance manufacturing operations, signaling a need for advanced systems and processes that can provide clean, standard data. Key insights from the research on the CPG industry technology landscape include:

• Barriers to AI remain: Current technology infrastructures are deterring organizations from deploying AI and machine learning. The top three challenges include compliance and security (60%), high costs and resources constraints (60%), and integration complexity with existing systems (58%).
  
  
• Manual processes still prevalent, increasing risk: A majority (64%) of CPGs use a mix of digital and manual processes or mostly manual with limited tools to manage quality and compliance across the supply chain. Respondents that selected advanced data integration and process automation capabilities as most valuable for improving IT efficiency say it will reduce repetitive tasks and manual work and eliminate data silos.
  
  
• CPGs want AI-powered predictive analytics: The top three reasons respondents say AI-powered predictive analytics are the most valuable capability include driving quality and compliance assurance (24%), improving decision making and data-driven insights (21%), and delivering proactive issue detection and prevention (19%). This focus on real-time insights for quality control highlights a need for technology partners with a deep understanding of manufacturing and compliance requirements.
  
  
• People, process, and data key enablers for AI: Survey finds a balance across people, process, and data is critical for a successful AI launch. The top enablers are comprehensive employee training programs (72%), high-quality data infrastructure (66%), and AI cyber security and compliance (64%), signaling AI success will require coordinated organizational readiness. 

"The State of AI in Consumer Goods Report shows that managing quality across numerous legacy systems is hindering AI-readiness. To use AI effectively, respondents are considering establishing a strong data foundation on a unified platform that can scale to realize clear value," said David Maher, head of strategy, Veeva QualityOne.

The State of AI in Consumer Goods Report polled more than 150 IT and functional leaders at global CPG companies in the U.S. The research examines the industry's AI-readiness, the challenges to AI-adoption, and areas of opportunity for IT to drive value and innovation. To learn more, read the full report.

About Veeva QualityOne
Founded in 2007, Veeva Systems is a global provider of industry-specific cloud software solutions that address the unique operating challenges and regulatory requirements of companies in the life sciences, consumer products, food and beverage, and chemical industries. Veeva QualityOne's solutions help hundreds of market-leading companies eliminate inefficiencies and bring high-quality, trusted products to market faster without compromising safety or compliance. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves. Learn more at Veeva QualityOne.

For more information about Veeva's solutions for the global life sciences industry and the more than 1,500 customers it serves, ranging from the world's largest pharmaceutical companies to emerging biotechs, visit veeva.com.

Veeva Forward-Looking Statements
This release contains forward-looking statements regarding Veeva's products and services and the expected results or benefits from use of our products and services. These statements are based on our current expectations. Actual results could differ materially from those provided in this release and we have no obligation to update such statements. There are numerous risks that have the potential to negatively impact our results, including the risks and uncertainties disclosed in our filing on Form 10-Q for the period ended October 31, 2025, which you can find here (a summary of risks which may impact our business can be found on pages 33 and 34), and in our subsequent SEC filings, which you can access at sec.gov.

Contact:

Deivis Mercado
Veeva Systems
925-226-8821
deivis.mercado@veeva.com

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SOURCE Veeva Systems

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did the VEEV report find about platform consolidation in CPG on Jan 27, 2026?

The report found 82% of respondents are consolidating legacy or best-of-breed systems into unified platforms to standardize data and processes.

How many CPG companies in the VEEV study plan to use agentic AI for manufacturing?

72% of respondents are using, preparing, or planning to adopt agentic AI to advance manufacturing operations.

What are the top barriers to AI adoption cited in the VEEV report?

The top barriers are compliance and security (60%), high costs and resource constraints (60%), and integration complexity (58%).

What enablers did the VEEV report identify for successful AI launches in CPG?

Top enablers are comprehensive employee training (72%), high-quality data infrastructure (66%), and AI cybersecurity and compliance (64%).

Does the VEEV report indicate manual processes remain common in CPG operations?

Yes. The report states 64% of CPGs use a mix of digital and manual processes or are mostly manual with limited tools for quality and compliance.