SINGAPORE - 11 December 2024 - NetApp (NASDAQ: NTAP), the intelligent data infrastructure company, released its second annual Data Complexity Report, which examines how global organizations are navigating the increasing complexity of managing their data for AI. This year's report provides a global view into how AI will impact organizations in 2025 and beyond, offering insights to help businesses leverage AI's potential while navigating the complexities and risks that accompany this transformative technology.

"2025 is shaping up to be a defining year for AI, as organizations transition from experimentation to scaling their AI capabilities," said Gabie Boko, Chief Marketing Officer, NetApp. "This year's Data Complexity Report shows that businesses are making significant investments to drive innovation and efficiency, but these efforts will succeed only if global tech executives can address the mounting challenges of data complexity, security, and sustainability. Intelligent data infrastructure, with unified data storage at its core, will be key to unlocking AI's potential."

AI Investment: Will AI Break the Bank?

Two-thirds of companies worldwide report that their data is either fully or mostly optimized for AI. However, despite this progress, 2025 will still demand investment in AI and data management. In fact, 40% of global technology executives believe that unprecedented investment in AI and data management will be required for their companies in 2025. While companies have made strides in optimizing data for AI, achieving future breakthroughs will demand even greater commitment and resources.

The study classified the surveyed markets into AI leading and AI lagging countries. The four APAC markets of India, Japan, Singapore and Australia & New Zealand (A/NZ) all fall into the leading bucket, with the overall proportion of APAC respondents saying that their business's data is fully or mostly optimized for AI averaging 73%, slightly above the global number.

Data Silos: Will Your Data Impede AI Success?

Data unification is emerging as a critical driver of AI success, with 79% of global tech executives recognizing the importance of unifying data to achieve optimal AI outcomes. Companies that prioritize unifying data are more likely to reach their AI goals in 2025, with only 23% of companies that prioritize unifying data saying they won't reach their goals, versus 30% of companies that don't prioritize unifying data. Investing in data management and infrastructure has become the top priority for organizations, with executives emphasizing it twice as much as other AI-related initiatives - a trend set to grow. Looking to the future, organizations that embrace data unification will be better positioned to fully harness the transformative power of AI, ensuring they stay ahead in an increasingly competitive landscape.

In APAC, 85% of tech executives recognized the importance of unifying data to achieve optimal AI outcomes in 2025. Every country is increasing their data management or infrastructure investments except India, reflecting India's previous investments and lead in AI adoption. In India, 44% of tech executives see data management or infrastructure as their current top priority, with a lower 37% seeing it as a future top priority. In the other parts of APAC, tech executives in Japan (42%), Singapore (49%) and A/NZ (43%) see data management and infrastructure investments as their top future investment priority - which are higher than their current top priority.

Data Security: Will Cyber Threats Scale Along with AI?

Global tech executives are bracing for a significant rise in security threats alongside AI adoption, with 41% predicting a sharp increase in 2025. Data privacy and security concerns have remained top challenges globally year-over-year, with AI leading countries like India, Japan, Singapore and A/NZ and the United States (whom are farther ahead in their AI journey) facing nearly twice the number of security issues compared to AI-lagging countries like Germany, France and Spain. As much as 72% of APAC respondents said the rise in AI adoption has led to an increase in security challenges for their businesses.

AI-driven security challenges are weighing heavily on the minds of global tech leaders, with 59% identifying these threats as a leading global stressor. Likewise in APAC, over half of the surveyed respondents (54%) have recognized AI-driven security challenges as their top stressor. This heightened focus reflects the growing complexity of cyber risks. Executives at the board and C-suite levels continue to prioritize cybersecurity and ransomware protection, with 38% ranking it as a top priority. However, there's a silver lining: the strategic measures organizations have implemented appear to be paying off. The focus on cybersecurity as a top priority has decreased by 17% since 2023 - a promising sign that progress is being made in combating these ever-evolving threats.

Data Sustainability: Is AI Putting the Planet at Risk?

As AI adoption accelerates, 34% of global tech executives anticipate major shifts in corporate sustainability processes, and 33% expect new government energy policies and investments. AI-driven data growth is seen as a key contributor to sustainability efforts, with AI-leading countries experiencing a greater impact than AI-lagging countries. Carbon footprint reduction remains a top priority, especially in regions with high AI adoption, though its focus has declined year over year, from 84% of companies in 2023 to 72% in 2024. The challenge moving forward will be managing the environmental costs of AI while maximizing its potential for innovation.

In APAC, three-quarters of respondents indicated the importance of carbon footprint reduction - slightly above the global average. Increased data and computation due to the rise of AI have brought significant contributions to their companies' sustainability initiatives, with 57% of the respondents indicating "high" or "extremely high" impacts.

This year's Data Complexity Report highlights a pivotal shift: businesses that invest in intelligent data infrastructure and prioritize security are not only future-proofing their operations but also gaining a significant competitive advantage in the AI-driven landscape.

"AI's transformative potential hinges on secure, scalable, and sustainable data strategies," said Krish Vitaldevara, Senior Vice President and General Manager, NetApp. "The organizations leading in advanced analytics and AI are those that have unified and well-cataloged data, robust security for sensitive information, and a clear understanding of how data evolves. By tackling these challenges, they can drive innovation while ensuring resilience, responsibility, and timely insights in the new AI era."

"We are at an exciting point in AI innovation, and it's encouraging to see APAC organizations leading the charge in data readiness for AI," said Dhruv Dhumatkar, Chief Technology Officer, NetApp Asia Pacific and Japan. "Data holds the key to AI's success. For organizations to capitalize on their lead, intelligent data management capabilities are essential to unify and make data a strategic asset for positive business outcomes."

To learn more, read the full report here: www.netapp.com/pdf.html?item=/media/120560-2024-data-complexity-survey-report.pdf

Methodology

NetApp partnered with Wakefield Research to conduct a quantitative research study during November 2024, among 1,300+ IT executives in 9 markets: US, EMEA (UK, France, Germany, Spain) and APAC (Australia/New Zealand, Singapore, India and Japan).

The issuer is solely responsible for the content of this announcement.