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Executive Summary: Technology Industry Insights [2026]

 

 

Frequently Asked Questions (FAQs)

Why is the technology industry important?

The technology industry plays a central role in shaping modern economies. The US digital economy reached USD 4.9 trillion in 2025 and accounted for 18% of GDP. This supports 28.4 million jobs. Meanwhile, India’s digital economy is projected to contribute 13.42% to national income by 2024-25, and is equivalent to USD 402 billion.

What will be the future of technology?

AI will shape the next phase of technological advancement. It is expected to double annual economic growth rates across 12 developed economies by 2035. Also, quantum computing is approaching a practical turning point and is supported by progress in error correction.

Further, the global spending on digital transformation is expected to reach USD 3.9 trillion by 2027. Enterprises are continuing to invest in technologies that improve agility, enable smarter automation, and support scalable innovation.

Global Technology Market Overview

The global technology sector is continuously expanding. Worldwide IT spending is projected to reach USD 5.43 trillion in 2025, which marks a 7.9% increase from the previous year. AI investment is expected to grow in 2026, supported by hyperscaler infrastructure and enterprise adoption.

The industry maintains steady momentum despite inflation and geopolitical tensions. Cloud computing remains a key driver, with the global market reaching USD 738.2 billion in 2025 and projected to grow to USD 1.6 trillion by 2030. This shift is reshaping enterprise operations and consumer experiences across regions such as the US, India, and Africa.

Global IT Spending Trajectory

Enterprise modernization, regulatory compliance, and digital adoption continue to drive IT investment. However, spending patterns have shifted since Q2 2025, as geopolitical tensions and trade concerns prompt more cautious behavior.

Even with this pause, AI and generative AI initiatives are aiding in offsetting slower spending. Organizations increasingly view AI as essential for staying competitive in uncertain conditions.

Data center systems show the strongest growth. Spending is projected to rise 42.4% in 2025 and reach USD 475 billion, largely due to demand for AI-optimized servers.

 

“Data centers are experiencing a surge driven by GenAI, with spending on AI optimized servers, which was virtually nonexistent in 2021, expected to triple that of traditional servers by 2027,”

– John-David Lovelock, Distinguished VP Analyst at Gartner.

 

Software spending will reach USD 1.23 trillion in 2025, growing 10.5%, with AI-enabled solutions driving much of the increase. IT services will total USD 1.69 trillion and reflect 4.4% growth.

Cybersecurity spending is projected to grow 12.2% in 2025 and exceed USD 377 billion by 2028. Meanwhile, global AI spending is forecast to reach USD 1.5 trillion in 2025 and rise above USD 2 trillion in 2026.

Contribution of Software, Services, Hardware, and Telecom

Software continues to grow steadily, supported by AI-enabled solutions, cybersecurity upgrades, and cloud migration. Generative AI is expected to influence over 50% of application software spending by 2026. Security software alone may reach USD 101 billion in 2025, reflecting 15% growth. Broader software categories also benefit from automation tools and low-code platforms.

IT services remain the largest component of global IT spending. Growth is driven by digital transformation efforts, outsourced cybersecurity, and managed cloud services.

Hardware spending is shifting toward AI-optimized servers. By 2030, spending is expected to reach USD 837.83 billion, up from USD 204.74 billion. AI workloads are projected to account for 32.1% of data center spending in 2025, which is rising from 22.6% in 2024.

The device spending includes PCs, tablets, mobile phones, and printers. Although traditional consumer device growth has slowed, the demand for AI-ready PCs and mobile devices is increasing.

Lastly, telecom services represent the most stable segment. The growth remains modest and is supported by ongoing 5G deployments and early-stage investments in 6G research.

Growth drivers: AI, Cloud, Connectivity

Artificial Intelligence: The Dominant Growth Engine

Generative and agentic AI improve productivity in areas such as software development, customer service, and compliance reporting. Nielsen reports a 66% productivity gain from generative AI adoption.

Organizations using AI at scale report efficiency gains and revenue growth. These improvements come from personalized services, automated operations, and faster innovation cycles.

Further, McKinsey estimates that AI will add USD 4.4 trillion in annual corporate profits globally.

Cloud Infrastructure: The Operational Foundation

Cloud infrastructure remains central to enterprise strategy as it supports cost control and enables scalable operations.

The cloud services are expected to account for over 45% of total enterprise IT spending by 2026. This year, global public cloud spending will reach USD 723.4 billion at 21.5% annual growth.

Besides, multi-cloud and hybrid models have become standard. Enterprises use these approaches to balance performance, resilience, and vendor flexibility. This shift supports growth across Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS) platforms.

Connectivity: The Enabling Infrastructure

Private 5G network spending is projected to rise from USD 2 billion to USD 7 billion annually by 2028. Around 18 000 private networks are expected to be deployed. The demand for edge computing and private networks is driving industrial automation and IoT integration.

Moreover, 6G trials are underway in China, South Korea, and Europe. China accounts for 40.3% of global 6G patent filings.

Additionally, South Korea’s science ministry announced a 440.7 billion-won (USD 324.5 million) plan for 6G development in 2023.

Meanwhile, European Parliament initiatives focus on digital sovereignty and AI-enhanced networks.

Regional Dynamics and Key Players

Asia-Pacific Leadership and China’s Consumer Dominance

Asia-Pacific technology spending is expected to grow by 5.6% in 2025. India leads regional growth, supported by government digitalization efforts, a strong IT services sector, and rising smartphone use. Meanwhile, the Philippines, Vietnam, and Indonesia continue to expand through digital infrastructure projects and state-backed technology programs.

Generative AI adoption is accelerating across the region. IDC projects spending on AI-centric software, services, and hardware to reach USD 26 billion by 2027. This reflects a compound annual growth rate of 95.4% between 2022 and 2027.

 

Credit: IDC

China’s core AI industry is predicted to reach USD 140 billion in market value by 2030, according to Morgan Stanley Research. Including related sectors such as infrastructure and component suppliers, the estimate rises to USD 1.4 trillion.

The country’s focus on efficiency and cost control shapes its investment strategy. AI investments will break even by 2028 and deliver a 52% return on invested capital by 2030.

North America’s Enterprise Technology Strength

North America maintains a strong position in cloud services, enterprise software, and cybersecurity.

The US IT spending market is projected to grow at a compound annual rate of 3.8% from 2025 to 2034. By the end of the period, spending is predicted to reach USD 1.89 trillion.

In Q2 2025, Amazon held a 30% share of the global cloud infrastructure market, followed by Microsoft Azure at 20% and Google Cloud at 13%. Together, these three providers account for over 60% of the total market share, while other competitors remain in the low single digits.

Moreover, North America contributed 40.8% of global revenue in the generative AI segment in the last year.

Canada’s AI sector shows steady growth. It attracted USD 3 billion in new investment and added 50 000 jobs across 670 active AI-focused firms. The country also leads in AI patents per million people among G7 countries and China.

In addition, Toronto hosts a dense cluster of AI startups, while institutions like the Vector Institute and Mila support research and talent development.

 

 

Europe’s Innovation and Regulatory Landscape

In 2025, European technology spending is projected to grow by 5% to reach EUR 1.4 trillion. Software will expand by 10.4% and is expected to account for over one-third of total tech spending by 2029.

Germany held 20.3% of the region’s ICT market in 2024. Meanwhile, Spain is forecast to grow at an annual rate of 8.7%.

The European Union continues to shape global technology governance. Key regulations, including the AI Act, Digital Services Act, and GDPR, impact both domestic markets and international compliance standards.

Since 2018, regulators have issued 692 GDPR fines totaling EUR 293 million. Google received the largest penalty at EUR 50 million. Besides, authorities have also recorded over 281 000 data breach notifications.

The EU AI Act introduces a structured approach to AI oversight. It classifies applications by risk level and sets compliance requirements that influence global regulatory practices.

Emerging Markets (India, LATAM, Africa) are Gaining Share

India

India continues to expand its share in the global technology landscape. IMARC Group projects the country’s IT services market will reach USD 75.03 billion by 2033 at a compound annual rate of 7.30%.

Data center capacity is also increasing. ICRA estimates capacity will more than double from 950 MW in FY2024 to 2000-2100 MW by FY2027. This expansion will require investments of INR 50000-55000 crore.

Meanwhile, India’s domestic AI market shows strong growth potential. Boston Consulting Group expects it to reach USD 17 billion by 2027, more than triple its current size. This growth reflects rising enterprise adoption and government support for AI development.

Latin America

South America’s IT market is valued at USD 83.38 billion in 2025. It is projected to reach USD 119.8 billion by 2030, growing at a compound annual rate of 7.55%.

The digital transformation spending in Latin America is also rising. The market is expected to grow at a 15.6% CAGR from 2025 to 2032 and reach nearly USD 1.8 billion by the end of the period.

Additionally, fintech is expanding across the region, with the market reaching USD 13.14 billion in the last year. It is projected to grow at a 15.9% CAGR to reach USD 49.58 billion by 2033.

Africa

Africa’s digital economy is expected to contribute USD 180 billion to GDP in 2025, accounting for roughly 5.2% of the total. This figure is expected to grow to USD 712 billion by 2050.

 

 

Digital payments are driving much of this growth. The sector is projected to reach USD 1.5 trillion by 2030.

Africa leads in mobile money adoption. It holds over 1.1 billion registered accounts, more than half of the global total. In the last year, the continent processed 81 billion mobile money transactions worth USD 1.1 trillion. These volumes represent 74% of global transaction activity and 66% of total value.

Market Segments and Emerging Submarkets

Software and IT Services Expansion

The enterprise demand continues to focus on cloud migration, automation, and compliance management. While 94% of organizations use cloud services, migrations remain complex and require tailored implementation.

Digital transformation efforts increasingly center on the “Innovate, Scale, and Operate” use case. This category accounts for over 20% of total investment and includes supply chain management, engineering, design research, operations, and manufacturing processes.

Compliance-related technology spending varies by company size. Industries such as healthcare and financial services allocate more resources due to regulatory requirements like GDPR, SOC2, and ISO certifications.

Further, conversational AI platforms are gaining traction. These tools improve customer support and increase internal productivity. The adoption is rising across retail, banking, and healthcare sectors.

Banking leads in implementation, with 92% of North American financial institutions using AI chatbots. In healthcare, 68% of organizations have adopted AI systems, and patients in the US increasingly receive health information through chatbot interfaces.

Hardware and Telecom Stability

Global telecom revenues are expected to grow at a 2.9% compound annual rate through 2028. This pace falls below projected inflation, with total revenues reaching USD 1.3 trillion by the end of the period.

Meanwhile, data center capital expenditure is set to increase. Spending is expected to rise from USD 430 billion in 2024 to USD 1.1 trillion by 2029, which reflects the growing demand for AI-ready infrastructure.

“We project that data center infrastructure spending could surpass USD 1 trillion annually within five years. While AI spending has yet to meet desired returns and efficiency improvements, long-term growth remains assured, driven by hyperscalers’ multi-year capex cycles and government initiatives such as the USD 500 billion Stargate Project,” said Baron Fung, Senior Research Director at Dell’Oro Group.

Rising Submarkets: Cybersecurity, IoT/Edge, Semiconductor Manufacturing

The growing cyber threats and AI-driven attack methods are prompting increased cybersecurity investment across industries.

Internet of Things (IoT) and edge computing are gaining momentum. The number of connected IoT devices is projected to reach 40 billion by 2030. This growth supports adoption in logistics, healthcare, and industrial automation.

Besides, semiconductor manufacturing remains a strategic priority. Governments in the US, EU, and Asia are allocating substantial subsidies and incentives to build resilient domestic supply chains.

Globally, companies plan to invest around USD 1 trillion in semiconductor fabrication facilities by 2030. Most of this funding targets projects in Asia and the United States, while support for European initiatives is also rising.

High-Impact Technologies: Key Insights [2026]

1. Agentic & Generative AI Systems

Market Expansion and Investment Insights

Precedence Research estimates the global agentic AI market will reach USD 4.35 billion in 2025 and grow to USD 103.28 billion by 2034, with a compound annual growth rate above 40%.

Deloitte’s Global 2025 Predictions Report notes that 25% of enterprises using generative AI plan to deploy AI agents by 2025. This figure may rise to 50% by 2027.

According to PwC’s 2025 survey, most organizations report some level of AI agent adoption. Among them, 19% deploy agents at scale, 35% run pilots, and 25% use agents in limited applications.

Venture capital investment continues to grow. In 2024, generative AI startups raised USD 56 billion across 885 deals, up from USD 29.1 billion across 691 deals in 2023. The first half of 2025 alone saw USD 49.2 billion in funding, which already exceeds the previous year’s total.

How Industry Leaders are Pushing the Technology Forward

OpenAI’s GPT-o1 series introduces reasoning-focused models. These models generate “chains of thought” before responding and achieve 83% accuracy on International Mathematics Olympiad problems and rank in the 89th percentile on Codeforces coding competitions.

Microsoft has expanded Copilot’s role from assistant to autonomous digital coworker. New agentic capabilities include task delegation, execution, and event-triggered responses without human input.

GitHub Copilot now functions as an asynchronous coding partner. Besides, Windows AI Foundry supports on-device agent development for enterprise use.

Anthropic’s Claude AI agents are positioned for enterprise decision-making. Through a five-year partnership with Databricks, Claude models reach over 10 000 companies via the Data Intelligence Platform. Claude 4 introduces new features such as code execution tools, MCP connectors, Files API, and extended prompt caching to support complex workflows.

Measurable Business Impact

McKinsey research shows AI is able to automate 60-70% of work activities. This shift allows teams to prioritize strategic tasks over routine operations.

Further, programmers report a 55.8% productivity increase, whereas customer service teams see a 14% improvement.

Organizations using AI agents note faster order processing and lower compliance costs, driven by autonomous workflow management.

 

 

2. Cybersecurity, Post-Quantum Cryptography & Trust Frameworks

Market Expansion and Investment Insights

The global cybersecurity market is expected to reach USD 500.70 billion by 2030, growing at a compound annual rate of 12.9% from 2025.

In 2024, venture capital firms invested USD 13 billion in cybersecurity startups, which marks an 8% increase from the previous year. However, the number of deals declined by 13% and totaled 910 transactions.

Post-quantum cryptography is gaining strategic importance. In August 2024, NIST released three finalized standards: FIPS 203 (Module-Lattice-Based Key-Encapsulation Mechanism), FIPS 204 (Module-Lattice-Based Digital Signature), and FIPS 205 (Stateless Hash-Based Digital Signature). These standards aim to counter the risk of quantum computers breaking current encryption methods. The experts estimate that cryptographically relevant quantum systems could emerge by the late 2030s.

How Industry Leaders are Pushing the Technology Forward

Leading technology firms are integrating quantum-safe features into their platforms. IBM contributed to two of the NIST-approved standards and launched its Quantum Safe program in 2025. The company is working with clients like Vodafone to apply post-quantum cryptography in mobile security.

Google added quantum-safe digital signatures to its Cloud Key Management Service. It implemented ML-DSA-65 and SLH-DSA-SHA2-128S algorithms in preview and released them as open-source tools through BoringCrypto and Tink libraries.

Startups are also advancing quantum-resistant technologies. PQShield, based in the UK, raised USD 37 million in Series B funding in 2024. It focuses on embedded systems and hardware applications and partners with firms such as AMD, Nvidia, Collins Aerospace, and NTT Data. The startup also advises government bodies such as the White House and European Parliament.

Measurable Business Impact

IBM reports that the global average cost of a data breach exceeded USD 4.4 million in 2024. Anne Neuberger, US Deputy National Security Advisor, projects cybercrime costs will reach USD 23 trillion annually by 2027.

Early adoption of post-quantum cryptography will aid in reducing future risks, especially those tied to “store now, decrypt later” threats. Organizations using trust-by-design frameworks report stronger customer relationships and improved data protection outcomes.

 

 

3. Spatial / XR / Immersive Technologies

Market Expansion and Investment Insights

IMARC Group projects the global extended reality (XR) market to reach USD 2.5 trillion by 2033. This reflects a compound annual growth rate of 37.26% between 2025 and 2033.

XR startups raised USD 1.62 billion in the last year. By mid-2025, funding reached USD 1.34 billion – driven by enterprise use cases and strategic corporate investments.

Napster Corporation secured a USD 3 billion private growth round in January 2025. This funding brought its valuation to USD 12.25 billion.

How Industry Leaders are Pushing the Technology Forward

Apple launched Vision Pro in February 2024, positioning it as a productivity and collaboration tool. The device supports enterprise workflows through partnerships with Microsoft, Cisco, and Zoom. It blends physical and digital environments to enhance workplace efficiency.

Meta increased its market share to 50.8% in Q1 2025, up from 36.2% in Q1 2024. This growth reflects a 65.9% rise in unit shipments.

“The market is clearly shifting toward more immersive and versatile experiences,” said Jitesh Ubrani, research manager for IDC’s Worldwide Mobile Device Trackers. “While Meta continues to lead, the rise of brands like Viture and XREAL shows that innovation in form factor and user experience is resonating with consumers. The next wave of growth will be driven by mixed and extended reality, especially as AI and Android XR platforms mature.”

Measurable Business Impact

Immersive training shows clear performance improvements. VR-trained participants achieved 42% higher procedural accuracy and reduced training time by 38%. They also retained skills more effectively.

The same VR systems lowered error rates by 45% and increased trainee confidence by 48%.

Healthcare providers report cost savings from VR adoption. In retail, immersive commerce tools such as 3D product visualization and augmented reality are improving conversion rates and reducing product returns.

 

 

4. Cobots, Robotics, and Automation

Market Expansion and Investment Insights

The global robotics market reached USD 73.64 billion in 2025 and is projected to grow to USD 185.37 billion by 2030, reflecting a CAGR of 20.28%. Industrial robots led with a 71.4% revenue share in 2024. Collaborative robots are expected to grow at a 26.71% CAGR through 2030.

Automation demand continues to rise due to labor shortages and the need for operational efficiency. Manufacturing, logistics, and service sectors face increasing gaps, with the US manufacturing industry anticipating 2.1 million unfilled jobs by 2030.

Governments are supporting this growth. Japan’s Society 5.0 initiative allocates significant funding for robotics integration by 2030 to address demographic and workforce challenges.

How Industry Leaders are Pushing the Technology Forward

Universal Robots leads in collaborative robotics with its UR3e, UR5e, and UR10e cobot families. It offers over 500 certified accessories, which allows small and medium enterprises to customize automation without extensive engineering.

Amazon Robotics has deployed more than 1 million robots across its global fulfillment network, advancing warehouse automation at scale.

Startups are driving specialized innovation. Bright Machines introduced a robotics-as-a-service model for electronics assembly. Its Microfactory solutions combine adaptive robotics with machine learning and computer vision. The Brightware Platform supports software-defined manufacturing, enabling quick product reconfiguration without hardware changes.

Measurable Business Impact

Manufacturers using collaborative robots report productivity gains of up to 20%. Cobots operate continuously and allow human workers to focus on tasks that require creativity and problem-solving.

Organizations deploying autonomous mobile robots (AMRs) report labor cost reductions of 50%. They also achieve 25-40% decreases in overall operating costs, driven by improved throughput and task efficiency.

Robotic surgery shortens hospital stays in healthcare. Besides, clinical studies show an average reduction of 3.03 days compared to laparoscopic procedures.

5. Nanotechnology, Advanced Materials, and Bio-Hybrid Tech

Market Expansion and Investment Insights

The global nanotechnology market is projected to grow at a compound annual rate of 8.5% from 2026 to 2033, reaching USD 150 billion by the end of the period.

Investment activity in the last year remained strong. VSParticle raised EUR 6.5 million to advance nanoparticle synthesis, while Nfinite Nanotech secured USD 6.5 million for sustainable nanocoating solutions.

Bio-hybrid technologies are gaining traction. These systems combine biological and engineered materials to support applications in drug delivery, regenerative medicine, and sustainable packaging.

How Industry Leaders are Pushing the Technology Forward

TSMC is expanding semiconductor fabrication across Taiwan, the US, Japan, and Germany. These facilities will support advanced 2nm process nodes to enhance nanoscale manufacturing capabilities.

Companies like BASF and Dow Chemical continue to develop nanomaterials for energy storage and lightweight composites. BASF’s portfolio includes silicon nanoparticles that improve lithium-ion battery capacity and cycle stability. Dow focuses on nanocomposites for automotive and aerospace use.

Moderna is broadening its nanolipid delivery platform beyond COVID-19 vaccines. Its pipeline includes vaccines for infectious diseases and cancer immunotherapy programs using lipid nanoparticle (LNP) technology.

Further, startups like NanoScent, based in Israel, have built a VOC detection platform supported by 17 patents. Its VOCID system enables real-time gas monitoring for hydrogen purity, methane detection, and medical diagnostics.

Measurable Business Impact

Research from Trinity College Dublin’s AMBER center shows MXene nanomaterials extend smartphone battery life from 10 hours to 30-40 hours.

Further, clinical studies indicate that nanoparticle-based drug delivery improves treatment outcomes compared to conventional methods.

In automotive applications, polymer nanocomposites reduce weight by 25% compared to filled plastics and by 80% compared to steel components. These savings support fuel efficiency and design flexibility.

6. Connectivity – 6G / AI-Native Networks & Edge Fusion

Market Expansion and Investment Insights

Global connectivity spending continues to rise, driven by next-generation network infrastructure needs. The International Telecommunication Union (ITU) estimates that achieving universal Internet access by 2030 will require USD 2.6 trillion to USD 2.8 trillion in total investment. Of this, USD 1.5 trillion to USD 1.7 trillion will support infrastructure development.

 

 

5G adoption is accelerating. By the end of 2024, global subscriptions surpassed 2.25 billion, growing four times faster than 4G LTE during a similar period. Forecasts suggest 5G connections will reach 8.3 billion by 2029, and account for 59% of all wireless technologies.

6G represents the next phase of connectivity. The market is expected to grow from USD 0.26 billion in 2025 to USD 3.88 billion by 2030 at a 72.6% compound annual growth rate.

Edge computing is expanding alongside 5G deployment. Ultra-low latency applications require processing near data sources. Additionally, the global edge computing market will reach USD 327.79 billion by 2033, growing at a 33% CAGR from 2025.

Moreover, telecom operators are investing in AI-native network infrastructure to improve efficiency and support new services. Analysys Mason projects USD 17 billion in AI cloud infrastructure investment by 2030.

How Industry Leaders are Pushing the Technology Forward

Asia-Pacific leads in 6G research and development. Corporations and governments in the region are advancing key technologies. For instance, Huawei continues its 6G research at R&D centers, including one in Ottawa, Canada. Its focus includes wireless communication systems, antenna design, and AI-based network optimization.

Samsung Electronics is partnering with major operators to develop 6G technologies. Its collaboration with NTT DoCoMo explores AI-driven enhancements for communication quality, especially in areas with weak signals.

Zenlayer supports edge cloud services through its hyperconnected platform. It enables businesses to reach 85% of global internet users within 25 milliseconds, meeting latency demands for real-time applications.

Measurable Business Impact

Edge computing delivers measurable improvements. Siemens’ Amberg Electronics Works uses edge systems to manage programmable logic controllers and increase production efficiency.

Smart cameras with AI analysis detect defects instantly and pause production lines to prevent errors from reaching customers.

CJ Logistics reported a 20% productivity increase at its Ichiri center in South Korea after deploying private 5G.

Initial 6G research shows potential for new applications. Projected network speeds may reach 1 Terabit per second, compared to 5G’s peak of 10 Gbps.

7. Neuromorphic Computing

Market Expansion and Investment Insights

The neuromorphic chip market is valued at USD 0.33 billion in 2025. It is projected to grow to USD 11.77 billion by 2030, reflecting a compound annual growth rate of 104.7%.

North America held 35.2% of the market share in the last year. Asia-Pacific is expected to grow at the fastest rate through 2030, with a projected CAGR of 105.9%.

Europe benefits from coordinated research efforts, including the Human Brain Project and EU funding that supports neuromorphic innovation.

Investment activity remains strong. In 2024, Gemesys raised EUR 8.6 million for memristor-based AI chips, whereas Neuronova secured EUR 1.5 million to develop ultra-low-power processors.

How Industry Leaders are Pushing the Technology Forward

Intel continues to advance neuromorphic computing through its Loihi platform. The second-generation Loihi 2 chip uses Intel 4 process technology and supports up to 1 million neurons per chip. It delivers faster processing and higher resource density while maintaining energy efficiency.

IBM’s TrueNorth chip features 5.4 billion transistors and a 4096-core architecture. It includes 1 million digital neurons and 256 million synapses.

The European Human Brain Project developed large-scale neuromorphic systems. Its SpiNNaker 1Million machine integrates over 1 million ARM processor cores.

SynSense supplies ultra-low-power neuromorphic hardware. Its Speck chip combines event-based vision sensing with a 320 000-neuron processor and enables real-time vision processing with minimal power consumption.

Measurable Business Impact

Chris Eliasmith’s research shows that Spiking Neural Networks (SNNs) on Loihi use 100 times less energy than Artificial Neural Networks (ANNs) on NVIDIA GPUs. Compared to Jetson platforms, SNNs are 20 times more efficient. Besides, Loihi achieves 93.8% accuracy, slightly higher than the 92.7% from conventional ANNs.

 

Energy Per Interference, by Processor Type & Brand

 

Neuromorphic computing improves robotics performance. It supports real-time adaptability and reduces energy use across tasks like path planning, obstacle avoidance, and sensor fusion.

In edge AI deployments, neuromorphic systems address power and latency challenges. Wearable devices benefit from continuous operation on a limited battery capacity, which makes them more practical for long-term use.

Priorities for Business Leaders Now

Driving Value from Technology

Business leaders face growing pressure to show returns on technology investments. Organizations that deploy digital tools effectively tend to grow revenue faster than their peers.

The focus is shifting from experimentation with AI, cloud, and automation to achieving measurable outcomes. Companies with strong digital and AI capabilities continue to build value.

For instance, In banking, digital leaders outperformed peers in return on tangible equity, price-to-earnings ratios, and shareholder returns between 2018 and 2022.

Talent and Skills Strategy

The global digital talent gap remains a concern. According to the World Economic Forum’s Future of Jobs Report 2025, 39% of core skills are expected to change by 2030. This marks a slight improvement from 44% in 2023, as companies strengthen continuous learning programs.

Technological skills are gaining importance faster than other categories. AI and big data top the list, followed by networks, cybersecurity, and digital literacy. Soft skills such as creative thinking, resilience, flexibility, and curiosity are also becoming more valuable.

Workforce planning combines automation with focused talent development. This approach has become a board-level priority as companies respond to rising wage inflation in technology roles.

Innovation and Partnerships

Partnerships continue to influence innovation strategies across industries. According to PwC’s 2025 CEO Survey, nearly 40% of CEOs say their companies entered new sectors in the past five years. At the same time, four in ten believe their businesses may not remain viable over the next decade without strategic change.

Corporate-startup collaborations are gaining momentum. These partnerships enable enterprises to access expertise in AI, quantum computing, and semiconductors without bearing the full cost of research and development.

Innovation platforms support systematic tracking of startups and allow the integration of emerging technologies into enterprise pipelines.

For example, StartUs Insight’s Big Data and AI-powered Discovery Platform offers real-time access to over 9 million startups, scaleups, and tech firms, along with insights into 20 000 technologies and trends. This platform enables faster decision-making and allows businesses to stay aligned with market shifts.

Security, Compliance, and Trust

Cybersecurity spending continues to rise, driven by the growing complexity and frequency of threats. Generative AI and other advanced technologies have added new layers of risk.

The EU AI Act introduces detailed regulatory requirements for deploying high-risk AI systems. It mandates GDPR compliance, personal data protection, and technical documentation. Organizations must also trace AI training data and complete conformity assessments before deployment.

As a result, enterprises are increasing investment in trust-by-design frameworks. Many firms integrate compliance from the outset of digital initiatives to manage regulatory demands across jurisdictions.

Moreover, trust frameworks are evolving. Enterprises that emphasize transparency and ethical AI practices are building stronger customer relationships and improving market positioning.

Leverage the Latest Technologies to Stay Ahead

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