

(Blue-Planet-Studio./Shutterstock)
Deloitte released its 14th annual Tech Trends report that details how enterprises will look towards the IT lessons of the past to help shape their future amid escalating economic disruption.
Tech Trends 2023 identifies advancements across six macro forces consequential to business transformation over the next 18 to 24 months. These include emerging opportunities in the innovation areas of interaction, information, and computation, as well as foundational areas of business of technology, cyber and trust, and core modernization. This year, trust has emerged as the central element in the trends identified by the report, the company said in a release, driven by enterprises increasingly recognizing that business outcomes are limited less by technological capability and more by the comfort and confidence in adoption and impact.
“Mark Twain reportedly observed that, ‘History doesn’t repeat itself, but it often rhymes.’ There are clear call-backs in this year’s Tech Trends to historical technology inflection points such as the GUI, the internet, and mobility. Each trend offers opportunities to test new approaches and learn and transform both technology and business models,” said Mike Bechtel, report author and chief futurist and managing director at Deloitte. “In navigating these new pathways, we should strive to achieve a balance between our pioneering spirit and our protective mandate. Done well, we can promote the primacy of business to IT, minimize risk, maximize the value of our investments and work to build trust within our business ecosystems.”
Immersive Internet for the Enterprise
The internet paradigm is shifting away from mobile internet towards immersive, interactive interfaces that take users through the looking glass into virtual experiences. This includes the metaverse and digital twins, and Deloitte predicts that over the next few years, tangible, conversational, and virtual interfaces will likely continue to graduate from tech toys to enterprise tools. The company says that organizations should be ready for reality to move online through expanded ways of interacting with mixed reality. Additionally, user experiences will continue to become simpler, even as the technology that drives human-computer interactions becomes more complex.
Learning to Trust AI Colleagues
Trusting the AI algorithms that power business decisions will be key as AI tools become increasingly standardized. Deloitte says that the differentiating competitive factor for truly AI-fueled enterprises will be how robustly AI is used throughout business processes, reflecting on how much confidence there is in the AI’s ability to deliver the right analytics and insights. The report states that to build trust, AI algorithms must be visible, auditable, and explainable, and workers must be involved in AI design and output.
Taming Multi-cloud Chaos
Cloud management has become a seriously complex endeavor, and some enterprises are turning to a layer of abstraction and automation sitting above their multi-cloud architecture that Deloitte calls a metacloud or supercloud. Offering a single pane of control, this family of tools and techniques can help cut through the complexity of multi-cloud environments by providing access to common services such as storage and computation, AI, data, security, operations, governance, and application development and deployment, the report says.
Reimagining the Tech Workforce
Flexibility of skills is another trend the report explores, and with the limited supply of technology talent, Deloitte says that hiring for current needs is not a winning long-term strategy due to how quickly technical skills become outdated. Companies can meet talent goals by building a skills-based organization where talent can be curated, created, and cultivated, the report states, along with tapping into creative sources for finding talent. Flexibility should be prized, Deloitte says, and trusting talent to flex their curiosity and versatility in becoming serial specialists over extant skills will result in improved talent experience and business outcomes.
Decentralized Architectures and Ecosystems
Deloitte says that even with the market volatility of cryptocurrencies, the enterprise potential of blockchain and other digital assets continues to grow. The report discusses how blockchain ecosystems could be key for building digital trust, particularly stakeholder trust, since these systems distribute trust across a community of users versus a single person or organization.” Organizations may be able to cement their credibility by helping reinvent a more decentralized internet—Web3—in which a single, immutable version of the truth is based on public blockchains,” the report states. “Digital ledger technologies and decentralized business models that achieve consensus through code, cryptography, and technology protocols are demonstrating that none of us is as trustworthy as all of us.”
Mainframe Modernization Hits its Stride
Mainframes are enjoying a quiet renaissance, Deloitte asserts, as enterprises are using middleware to link core systems to new technologies like GPU-based supercomputers and cloud-based analytics, AI, and ML. Mainframes are still commonly used in tasks such as payroll processing, transaction recording, and insurance underwriting. Mainframes do what they were intended to do, and they do it well, the report states. Despite the challenges in modernizing these legacy systems, companies are connecting and extending them with emerging technologies rather than completely replacing them.
The report concludes with a section devoted to an extended set of technologies and research areas that the analysts say are on the horizon: space and aeronautical engineering; cellular and biomolecular engineering; brain and nervous systems applications and interfaces; climate, sustainability, and the environment; autonomous and precision robotics; and power, energy, and battery technologies. These areas are rooted in science, Deloitte says, and are active with patent and startup activities, technology maturity and advancements, academic and grant investments, and venture capital funding.
“Tech Trends 2023 applies research, Deloitte’s unique history in working with global organizations across industries, and the combination of business and technology experience to predict how enterprises navigate to what’s next. Instead of betting on the future, Deloitte is helping clients build confidence in harnessing disruptive technologies to make their innovation ambitions real,” said Bill Briggs, global chief technology officer and principal, Deloitte. “Our insights for this year’s report have revealed a number of truths: transformation should be business and mission led, powered by AI, fueled by technology providers big and small, with a goal to make and shape new markets. Tech Trends 2023 can help organizations nurture what we have now as we navigate to what’s next, building something significant, sustainable and future-friendly for tomorrow.”
Access the full report at this link.
Related Items:
Big Things Ahead for AI in 2023: Predictions
Analytics Predictions for 2023
Accenture Report Explores the ‘Unreal’ World of Synthetic Data and Generative AI
February 21, 2025
- SADA Recognized for AI, Security, and Data Analytics in Google Public Sector
- Gartner Survey Finds One-Third of CDAOs Cite Measuring Data, Analytics and AI Impact as Top Challenge
- Alabama Power and E Source Win DOE Prize for Data Analytics Innovation
- AWS and InfluxData Launch Amazon Timestream for InfluxDB Read Replicas
- Kioxia and Sandisk Unveil Next-Gen 3D Flash Memory Tech Achieving 4.8Gb/s NAND Interface Speed
- DataChat’s Gen AI Platform for Analytics on Track for Continued Growth in 2025
- Lucidworks Launches AI-Powered Commerce Studio and Analytics Studio, Available in New Fast-Start Packages
- Arize AI Secures $70M Series C to Expand AI Observability and LLM Evaluation
February 20, 2025
- Accenture Invests in Voltron Data to Help Organizations Use GPU Tech to Simplify Large-Scale Data Processing
- DDN Unveils Infinia 2.0 to Streamline AI Data Management and GPU Utilization
- Together AI Raises $305M Series B to Power AI Model Training and Inference
- Starburst Closes Record FY25, Fueled by Rising AI Demand and Growing Enterprise Momentum
- GridGain Brings Apache Ignite Community Together for Ignite Summit 2025
- Elasticsearch Open Inference API now Supports Jina AI Embeddings and Rerank Model
- HarperDB Named an IDC Innovator for Edge Inference Delivery
- EDB Postgres AI Outperforms Oracle, SQL Server, and MongoDB in New Benchmark
- CData and Ellie.ai Partner to Streamline Enterprise Data Modeling
- Privacera Aligns AI Governance with NIST Standards to Mitigate AI Risks
February 19, 2025
- OpenTelemetry Is Too Complicated, VictoriaMetrics Says
- What Are Reasoning Models and Why You Should Care
- Three Ways Data Products Empower Internal Users
- Keeping Data Private and Secure with Agentic AI
- PayPal Feeds the DL Beast with Huge Vault of Fraud Data
- Memgraph Bolsters AI Development with GraphRAG Support
- Three Data Challenges Leaders Need To Overcome to Successfully Implement AI
- What Leonardo DaVinci Teaches Us About Data Management
- Demystifying AI: What Every Business Leader Needs to Know
- Top-Down or Bottom-Up Data Model Design: Which is Best?
- More Features…
- Meet MATA, an AI Research Assistant for Scientific Data
- AI Agent Claims 80% Reduction in Time to Complete Data Tasks
- Snowflake Unleashes AI Agents to Unlock Enterprise Data
- DataRobot Expands AI Capabilities with Agnostiq Acquisition
- EDB Says It Tops Oracle, Other Databases in Benchmarks
- Collibra Bolsters Position in Fast-Moving AI Governance Field
- Microsoft Open Sources Code Behind PostgreSQL-Based MongoDB Clone
- AI Making Data Analyst Job More Strategic, Alteryx Says
- VAST Data Expands Platform With Block Storage And Real-Time Event Streaming
- Databricks Unveils LakeFlow: A Unified and Intelligent Tool for Data Engineering
- More News In Brief…
- Informatica Reveals Surge in GenAI Investments as Nearly All Data Leaders Race Ahead
- Gartner Predicts 40% of Generative AI Solutions Will Be Multimodal By 2027
- PEAK:AIO Powers AI Data for University of Strathclyde’s MediForge Hub
- DataRobot Acquires Agnostiq to Accelerate Agentic AI Application Development
- Cloudera Welcomes Tom Brady as Keynote Speaker at ELEVATE26
- Starburst Closes Record FY25, Fueled by Rising AI Demand and Growing Enterprise Momentum
- TigerGraph Launches Savanna Cloud Platform to Scale Graph Analytics for AI
- EY and Microsoft Unveil AI Skills Passport to Bridge Workforce AI Training Gap
- Alluxio Enhances Enterprise AI with Version 3.5 for Faster Model Training
- DeepSeek-R1 models now available on AWS
- More This Just In…