Why Are Tech Companies Looking to Move Digital Workloads?

53% of Tech Companies Integrate Cloud Solutions With AI, According to Survey of IT Decision-Makers

Fifty-three percent of technology companies say they need a cloud strategy for emerging technologies like AI and 55% need it to reduce IT costs/optimize spending. Over half (54%) are integrating AI with the cloud in order to improve operational efficiency, according to a Rackspace Technology sponsored survey of 1,420 IT decision-makers across industries conducted in November of 2024.  
 
 Why Are Tech Companies Looking to Move Digital Workloads?  
 A majority (74%) of tech companies have considered repatriating or have repatriated workloads from the public cloud back to private or on-premise clouds to improve data security/compliance (63%), cost savings/budget constraints (53%), infrastructure/customization control (39%) and better integration (39%). Most of those that have moved digital workloads report success with performance/data sovereignty (92%), integration (90%), cost savings/budget constraint (87%), data security/compliance (84%) and unexpected cloud service downtime/reliability (73%).  
 
Challenges to Aligning AI Strategy with Revenue Goals  
The leading challenges to aligning AI strategy with revenue goals in the tech sector are lack of cross-functional collaboration (43%), resistance to change in revenue-generating units (36%), inadequate data or technology infrastructure (34%) and insufficient resources or budget (31%).    
 
What Technologies Will Be Most Important to Tech Companies Near-Term?   
 When asked what tools, platforms or methodologies are most critical to IT operations in the next year or two, data security/compliance platforms topped the list (55%), followed by:  
 
•    DBaaS (database as a service for scalable data management) (48%)  
 
•    Hybrid cloud for multi-environment deployment (39%)  
 
•    PaaS for app development and deployment (39%)  
 
•    AI/ML platforms for intelligent app development (36%)  
 
•    Edge computing for distributed apps (26%)  
 
•    Integration platforms for data transformation (23%).    
 
 
It is worth noting that data security/privacy/compliance scored high among tech companies throughout the survey in terms of:  
 
•    a key driver for adopting edge computing (62%)  
 
•    great current importance (53%)  
 
•    difficulty keeping up with cloud technologies (46%)  
 
•    a significant resource gap in managing cloud (45%)   
 
•    anticipated challenge in aligning with cloud strategy (45%)  
 
Survey Methodology  
Commissioned by Rackspace Technology, the survey was conducted by Coleman Parkes Research in October and November 2024. Findings are based on the responses of 1,420 IT decision-makers across technology, manufacturing/logistics, retail, hospitality/travel, energy, healthcare/pharma/biomedical, government, media/entertainment, and financial service sectors in the Americas, Europe, Asia, and the Middle East. Most companies/organizations polled have from 1,000 to 10,000+ employees and annual revenue between $50m and $15b.  
 
  

 

Quantum computing and related technologies like quantum AI are regarded as the next big wave after...
Groundbreaking solution simplifies AI inferencing for specialized and local applications.
Combining observability with experimentation and feature flags will help companies build...
Breaks down the barriers to enterprise AI adoption by enhancing security and compliance, improving...
Findings from ‘Unlocking Growth in the Mid-Market: The Node4 Report’ point to a lack of...
Unveiled at the RSAC™ Conference, the 2025 LevelBlue Futures Report finds only 29% of executives...
Horizon River, a leading provider of premium technology is redefining network solutions with its...
A new survey commissioned by Expereo exposes the true roadblocks to UK AI plans - poor...