Benefits of cloud ERP for digital native, high-tech companies
Dinosaur meets digital native: In the cloud, ERP has evolved into an agile powerhouse to meet the needs of high-growth, high-tech businesses.
The post-pandemic years haven’t been especially kind to the high-tech industry. Economic uncertainty and global upheaval slowed demand and tech spending, leading companies to cut back on staffing and scramble for stable footing, and the 2025 high-tech trends reflect the challenges the industry has faced.
But there are signs that things are picking up for high tech, which encompasses a broad range of businesses, from software startups to large hardware manufacturers:
According to the Semiconductor Industry Association (SIA), global sales of semiconductors hit an all-time high for the month of August, totaling $53.1 billion, up 20.6% from August 2023. In 2025, the global semiconductor market is expected to reach $687 billion, up 12.5% from this year.
Reshoring is gaining traction as chip makers try to avoid supply chain shortages by bringing manufacturing operations closer to home. Government policies and incentives also are driving the reshoring trend.
The United States, Japan and the European Union have initiated government funded “chip acts” to re-establish their presence in the
semiconductor industry. With the CHIPS and Science Act of 2022, the U.S. is investing $52.7 billion to bring semiconductor manufacturing back to the US.
A SIA report found that U.S. fab capacity is expected to increase 203% by 2032, a tripling of U.S. capacity.
For US reshoring to be succeed, manufacturers will need to focus on maximum efficiency and exploit every profit opportunity. That will require tapping into insights gleaned from their vast amounts of data.
Dinosaur meets digital native: In the cloud, ERP has evolved into an agile powerhouse to meet the needs of high-growth, high-tech businesses.
While high tech drives innovation across industries, many tech companies – especially small and midsize ones – struggle with outdated systems and processes that can stymie growth. In 2025, they’ll focus on modernizing, standardizing, and maximizing the effectiveness of their infrastructure.
An Oxford Economics study found that legacy IT infrastructure impedes high-tech industry growth. Sixty-three percent of midsize hardware manufacturers said their biggest IT pain point is the ability to scale processes and systems to match organic business growth.
Forty-five percent said outdated infrastructure prevents them from standing up new businesses, entering new geographies, or deploy new models.
But many are already working to bolster their competitive edge by integrating advanced technologies, starting with a cloud-based foundation. And they’re seeing results: 45% of manufacturers gained better agility and 40% optimized processes.
Cloud-based ERP systems offer growing high-tech businesses a cost-effective way to automate and standardize back-office processes for improved agility. These modern systems support a wide range of product-service offerings to help drive revenue and growth.
High-tech companies have prioritized AI like no other industry by building AI solutions and embedding AI into their products as well as their own operations. In 2025, expect this high-tech trend to continue with an increased focus on adopting AI internally to improve efficiency and productivity.
Seventy-two percent of tech industry leaders planned to increase spending in data and AI in 2024, according to an Accenture survey.
The Oxford Economics study found that more than a third of high-tech manufacturers have adopted AI while half are planning implementation.
Nearly two-thirds of the executives surveyed expect AI to bolster supply chain resilience. Almost half said they expect AI will help them optimize complex product configuration.
Using AI to process mass amounts of data in real-time slashes manual processes, giving teams more time to fix problems instead of finding them. With AI-enabled supply-chain management, early adopters been able to improve logistics costs by 15%, inventory levels by 35%, and service levels by 65% compared to their competitors.
Advanced Micro Devices, a global leader in the semiconductor industry, collaborated with Deloitte and SAP to develop the a generative AI-enabled tool to tackle supply chain shortages. The company estimates that the tool will reduce the time and cost spent on root cause analysis by 90%.
One aspect of this trend, which has been growing for a few years now: software companies designing and making their own chips. Big tech companies Meta, Google, and Apple are all developing chips in-house to support them in the AI race.
Branching out into the chip business reduces their reliance on external suppliers, but also gives them more technical control and competitive advantage.
At the same time, expect to see more chip manufacturers add subscription-based models for software and development services. For example, Qualcomm launched a cloud service last year that its chip customers can use to track goods through the supply chain.
The benefits of the Everything-as-a-Service (XaaS) model for semiconductor companies include recurring revenue, faster innovation, and potentially capturing a greater share of wallet by providing services such as maintenance and data analytics services, according to an Accenture report.
The global XaaS market is expected to grow to $3,221.96 billion by 2030, up from $699.79 billion in 2023.
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Of the many applications of AI in the high-tech industry, one of the most intriguing is using it to speed design and development.
In 2025, look for semiconductor companies to begin using AI for an autonomous chip design process that aims to reduce chip size, mitigate risk, and shorten design times.
“Generative AI offers immense potential to revolutionize the analog and digital chip design process, starting by tackling executive repetitive tasks efficiently and offering predictive capabilities to designers on future designs,” Ravi Gupta, a senior director at Capgemini wrote in a blog post. “But this journey will be an experience with a lot of learning.”
Generative AI tools that act as coding and testing partners for programmers have the potential to transform software development, according to a Deloitte report. One developer survey found that 44% use AI tools, the report said.
The software and information services industry was on track to spend the most of any industry on AI in 2024, IDC research found. It invested $33 billion into using AI to make improvements, including better software development.
As the tech industry looks ahead to growth opportunities, many challenges remain. Geopolitical conflict continues to pose supply chain risks, major elections could impact trade policies and tariffs, and macroeconomic conditions are far from stable.
The rapid pace of technological change means high-tech companies must get on a path of continuous reinvention centered on a strong digital core, Sam Panda, a managing director at Accenture, wrote in a 2024 industry outlook that holds true for 2025.
“High tech is the industry that has transformed our world, and with the opportunities presented by Gen AI, it can continue to be the industry that shapes the future of business.”