Tech industry leaders are optimistic about a potential rebound in 2024, according to Deloitte's latest report.
The 2024 Technology Industry Outlook, based on a survey of over 100 tech executives, reveals encouraging signs of recovery despite the challenges faced over the past two years. While the tech sector thrived during the early pandemic due to accelerated digital transformation, it encountered numerous obstacles recently.
High inflation, elevated interest rates, and significant global uncertainties led to decreased consumer spending, lower product demand, declining market capitalizations, and workforce reductions in 2022. These challenges persisted into 2023, resulting in sluggish global tech spending and increased layoffs. However, the report suggests that a recovery may be on the way, as economists are lowering recession risks and analysts predict modest growth in the tech sector for 2024.
Compiled by Deloitte's Susanne Hupfer, Michael Steinhart, Prashant Raman, and Ankit Dhameja, the report highlights several ongoing global challenges for the tech market, including geopolitical tensions, supply chain disruptions, raw material shortages, and emerging regulations. To navigate these challenges, Deloitte advises tech leaders to focus on:
1. Manufacturing Locations: Strategically assess and diversify manufacturing to mitigate risks.
2. Supply Chain Transparency: Increase visibility across the supply chain.
3. Systemic Risk Preparedness: Develop strategies to address systemic risks.
4. Streamlining Business Processes: Enhance operational efficiency.
5. Leveraging Intelligent Automation: Utilize advanced technologies to improve processes.
6. Reducing Tech Debt: Address legacy systems and technical debts.
7. Cloud Migration: Modernize architectures through cloud adoption.
8. Industry Expansion: Explore new industries for growth opportunities.
In Deloitte's Q4 2023 survey, 55% of tech executives rated the industry as "healthy" or "very healthy," with 62% expecting that status to continue over the next six months. While "efficiency" was the primary focus for 25% of respondents, "innovation" and "productivity" followed at 21%, and "growth" at 19%. Many executives view the industry as "innovative" and "evolving," with 62% believing it is an ideal time to embrace greater risks.
Strategies for 2024
Deloitte anticipates that tech leaders will prioritize multiple strategies:
- Capitalizing on Cloud, AI, and Cybersecurity: Enterprise spending on software and IT services, especially in AI, cloud computing, and cybersecurity, is projected to boost market growth. Tech leaders should evaluate and adapt their offerings to align with increasing demand; however, substantial enterprise investment in generative AI may not occur until late 2024.
- Balancing Globalization and Self-Reliance: The interconnected tech sector is vulnerable to disruptions from geopolitical unrest, supply chain instability, and evolving regulations. Leaders are urged to diversify supply chains and manufacturing among trusted regions to enhance resilience, with agility in adapting strategies as trade policies change.
- Preparing for Growth with Generative AI: The next year will be pivotal for generative AI, as tech companies explore its applications for efficiency and productivity. Significant advancements are expected in software development tools enabled by generative AI, with rising legal and regulatory considerations pushing for greater adoption in the latter half of 2024.
Global regulations, particularly in the EU and the US, are anticipated to focus on data protection, ethical AI use, and sustainability. Therefore, tech companies must prioritize compliance, transforming compliance measures into competitive advantages through collaboration across business, legal, and finance teams.
Each theme outlined by Deloitte offers significant opportunities for tech companies to mitigate risks and foster sustainable growth in the next 12 to 18 months. Strategic investments in supply chain resilience and data governance will serve as protection against geopolitical and regulatory changes, while generative AI has the potential to enhance operations and drive long-term innovation.