Executive Summary

 

 

How We Researched and Where This Data is From

  • Analyzed our 3100+ industry reports on innovations to gather relevant insights and create a master technology-industry matrix.
  • Cross-checked this information with external sources for accuracy.
  • Leveraged the StartUs Insights Discovery Platform, an AI- and Big Data-powered innovation intelligence platform covering 9M+ emerging companies and over 20K+ technology trends worldwide, to:
    • Confirm our findings using the trend analysis tool and
    • Find emerging tech companies for the “Spotlighting an Innovator” sections.

The Technology Landscape Today

The adoption of AI, edge computing, immersive systems, and cybersecurity frameworks defines the 2025 technology landscape. Enterprise AI adoption has doubled year-over-year, with 31% of use cases now in full production.

 

AI Adoption and Performance To Date

Credit: ISG

 

Real-world tests show that 5G networks can bring latencies down to as low as 1-10 milliseconds, compared with average latencies of 30-50 milliseconds on 4G networks. Moreover, edge computing is surging as AI workloads deploy across 27 industries, particularly in automotive, life sciences, and industrial automation.

Similarly, immersive technologies such as AR, VR, and extended reality (XR) are embedded in industrial workflows to enhance training, simulation, and remote collaboration.

Additionally, as 97% of remote workers use personal devices for business tasks, enterprises are prioritizing zero-trust architecture (ZTA) to mitigate risks from hybrid workforces and AI-driven threats.

Likewise, breakthroughs like Google’s 105-qubit Willow processor and Microsoft’s Majorana 1 chip demonstrate fault-tolerant architectures and stable quantum units. Also, autonomous mobile robots and precision farming systems improve efficiency, sustainability, and safety across supply chains and crop management.

12 Technology Predictions for 2026-2037

1. Agentic & Autonomous AI Systems

Generative AI can raise labor productivity by 0.1-0.6% annually through 2040, while depending on adoption and workforce redeployment. Combined with other automation technologies, it could add 0.5-3.4 percentage points to annual productivity growth.

It enables customer interaction support, marketing content creation, and code generation from natural-language prompts. In 2021, its estimated annual economic value was USD 2.6-4.4 trillion by increasing AI’s overall impact by 15-40%.

 

 

By 2028, 33% of enterprise software is expected to include agentic AI, up from less than 1% in 2024. It will enable 15% of day-to-day decisions to be made autonomously, and make operating-model changes in service, finance, IT, and supply chain.

Similarly, agent platforms move from pilots to scaled deployments. For instance, Salesforce’s new Agentforce 360 reported 12 000 customers at launch in October 2025. Additionally, global suppliers align capital behind this shift. Salesforce announced USD 15 billion in local AI investment over 5 years to accelerate agent adoption and ecosystem capacity.

Market sizing points to the expansion of software agents. The AI agents market is expected to increase from USD 7.84 billion in 2025 to USD 52.62 billion by 2030. Likewise, the autonomous enterprise spend is projected to reach USD 118.18 billion by 2030.

Across the Organisation for Economic Co-operation and Development (OECD) and European Union (EU), firm-level AI uptake climbed to 13.5% of enterprises in 2024, up from 8% in 2023. This includes companies with 10+ employees.

Spotlighting an Innovator: Neptune Technologies

US-based startup Neptune Technologies offers an intelligent document processing platform that automates document workflows with AI models. The platform ingests documents, applies multi-model intelligence for document understanding, extracts structured fields, and validates results through built-in rules and cross-referencing.

Further, it runs quality assurance, and then audits and stores outputs while integrating them into enterprise resource planning (ERP), customer resource management (CRM), accounting, and document management systems via application programming interface (API).

Moreover, the platform uses process automation and continuous learning to improve extraction accuracy and processing efficiency over time, while enterprise integration supports invoices, purchase orders, receipts, contracts, forms, and unstructured content. Thus, it aids industries like financial services, healthcare, legal, and logistics.

2. Application-Specific & Neuromorphic Semiconductors

Semiconductors are projected to reach USD 1 trillion annual revenue by 2030, with AI reshaping the mix toward accelerators, high-bandwidth memory (HBM), and advanced packaging. Moreover, chipmakers plan roughly USD 1 trillion of fabrication capital expenditure through 2030, but face constraints in equipment lead times, specialized labor, power, and water.

At the same time, AI silicon has already become a macro-level market. Within this segment, generative AI chips were worth more than USD 125 billion in 2024 and are projected to exceed USD 150 billion in 2025. In addition, the AI accelerator’s total addressable market (TAM) is expected to reach approximately USD 500 billion by 2028.

On the efficiency front, neuromorphic and compute-in-memory (CIM) and compute-near memory (CNM) designs demonstrate order-of-magnitude gains on sparse and event-driven workloads. For example, Intel’s Hala Point system integrates 1.15 billion neurons. This is across 1152 Loihi 2 processors in a six-rack-unit data center chassis with around 2.6 kW power draw. It achieves over 10x greater capacity and up to 12x higher performance compared to the previous generation.

Further, AI servers are expected to make up over 15% of all server shipments by 2025 and nearly 20% by 2028. Meanwhile, dynamic random-access memory (DRAM) revenue reached USD 31.63 billion in Q2 2025, up 17.1% quarter over quarter (QoQ). This growth was driven by rising contract prices for conventional DRAM and expanding HBM volumes.

Additionally, HBM3E devices are shipping with physical layer (PHYs) up to 10.4 Gb/s to deliver 1.33 TB/s per HBM device. Also, SK hynix has completed HBM4 development, while public specifications highlight 2048-bit input/output terminals and targets of 10 Gbps.

Spotlighting an Innovator: Neurobus

French startup Neurobus develops neuromorphic systems that bring biological intelligence principles into autonomous computing. Its technology uses bio-inspired processors and event-driven architectures that mimic neural activity, and allow machines to process information asynchronously and react in real time with minimal power consumption.

Further, the startup integrates neuromorphic processors, event-based sensors, and embedded AI hardware into platforms for drones, satellites, and defense systems to ensure continuous operation in high-risk or communication-limited environments. Through radiation-hardened payloads and edge computing boards, it supports ultra-low-latency decision-making and long-duration missions in space and aeronautics.

3. Quantum Technologies & Quantum Resilience

The combined global quantum market, including computing, communications, and sensing, is projected to reach up to USD 97 billion by 2035 and USD 198 billion by 2040. Within that, the long-run economic value from quantum computing alone is assessed at USD 450-USD 850 billion by 2040 while sustaining a USD 90-USD 170 billion provider market.

 

 

Likewise, the telecommunications sector will represent approximately 16-26% of total global spending on quantum communication technologies by 2035. Further, IBM targets quantum advantage in 2026 and a fault-tolerant system in 2029 capable of 100 million logical gates on 200 logical qubits, with a path to 1 billion gates on up to 2000 logical qubits beyond 2033.

 

 

Moreover, the global quantum startup venture capital funding reached USD 2 billion in 2024, up 50% from USD 1.3 billion in 2023. Additionally, the EU and Member States invested more than EUR 11 billion over five years, with the EUR 1 billion Quantum Flagship framework. Also, 30 governments collectively announced more than USD 40 billion in quantum programs.

Further, effective management of error and decoherence will depend on advances in quantum control, where precise mechanisms such as isolation, pulse shaping, and real-time feedback reduce noise and gate errors.

Also, around 65% of quantum technology leaders expect to achieve fault-tolerant quantum computing (FTQC) by 2030. However, the exact scope and scale of fault tolerance may vary depending on technological maturity and system architecture.

Spotlighting an Innovator: Phantom Photonics

Canadian startup Phantom Photonics‘ quantum lidar system operates by encoding photons in time superpositions to detect single-photon returns and differentiate its own signal from background noise with high precision. The startup’s sensors integrate a patented noise-cancellation architecture that provides anti-blinding capability and enables operation below ambient light levels. This ensures accurate imaging and stealth functionality even in complex conditions.

Beyond ranging, the same quantum encoding method extends to optical communications and spectroscopy to support long-distance secure data transfer and environmental sensing across air, water, and space. By combining quantum photonics with advanced signal processing, Phantom Photonics offers a solution for next-generation remote sensing that improves reliability, range, and security in applications from defense and aerospace to environmental monitoring.

4. Robotics & Autonomous Physical Systems

The global in-operation robotics units reached 4.28 million in 2023 and continued to climb in 2024.

 

 

The global average robot density in manufacturing reached 162 robots per 10 000 employees in 2023, more than 2x the level seven years earlier. Moreover, regional baselines are even higher, as the EU averages 219 robots per 10 000 and North America 197 per 10 000.

At the country level, South Korea leads with 1012 robots per 10 000 employees, while China climbed to roughly 470 per 10 000 and Germany about 429 per 10 000.

On public roads, Waymo’s self-driving fleet crossed 96 million driverless miles as of mid-2025, with 91% fewer serious injuries and 79% fewer airbag deployments compared to human-driven vehicles in its operational zones. Likewise, in flight logistics, Zipline’s delivery network completed over 1.4 million autonomous deliveries and 100 million autonomous flight miles to date.

Further, logistics and intralogistics robotics are entering a phase of tight integration with cloud AI and semantic mapping. The MARLIN robot operates within a cloud-integrated retail intralogistics K4R platform, which dynamically updates a semantic digital twin of the store for autonomous shelf stocking, obstacle detection, and route replanning.

Moreover, sidewalk and campus logistics scale in parallel. Starship autonomous robots cites 9 million autonomous deliveries over 12 million miles and plans to expand from 2700+ robots to 12 000+ by 2027.

Additionally, inside hospitals, the installed base of Intuitive Surgical’s da Vinci systems reached 10 488 installed units by June 2025 while growing 14% year-on-year.

In intralogistics, Amazon reports passing 1 000 000 operational robots across 300+ facilities as of June 2025.

Spotlighting an Innovator: Tarracor

Irish startup Tarracor develops autonomous robotics systems for automated golf ball collection. Its product, TarraBot, operates as a fully electric, self-driving range robot that navigates complex terrains using onboard sensors and real-time obstacle detection algorithms. The robot autonomously collects golf balls across large areas and runs for up to ten hours on a single charge.

Moreover, it incorporates smart return functionality that enables it to automatically dock when its basket is full or battery is low, while remote monitoring systems provide continuous diagnostics and control through mobile applications. Built for efficiency and sustainability, the robot eliminates manual labor, reduces emissions, and enhances operational uptime for golf facilities.

5. Human-Machine Interaction & Immersive Computing

5G connections reached 1.6 billion by February 2024 and are projected to rise to 5.5 billion by 2030. In parallel, 5G-Advanced (5G-A) projects 50+ large-scale 5G-A networks globally with an over USD 2.7 trillion market. It enables features such as enhanced positioning and lower over-the-air latency that directly improve extended reality (XR) streaming quality.

Building on this infrastructure, immersive hardware is returning to growth. Global AR and VR headset shipments grew 10% in 2024 by ending a two-year decline.

By 2028, annual shipments are forecast to reach 22.9 million, driven by mixed-reality devices and AI-optimized content ecosystems. This ecosystem is also diversifying, with visionOS passing 2000 spatial apps, alongside 1.5 million compatible iPhone/iPad apps.

At the same time, user behavior is rapidly normalizing spatial interaction. More than 300 million Snapchatters engage with AR every day in-app. As usage deepens, the platform reported more than 350 million users engaging with AR daily in Q2 2025.

Voice interaction continues to expand as the most pervasive control layer for these systems. In the USA alone, voice assistant users are projected to grow to 170.3 million by 2028, up from 145.1 million in 2023. Combined with 5G-level bandwidth and AI speech recognition, this growth enables voice-driven spatial commands-from AR-based maintenance workflows to hands-free navigation in industrial and healthcare settings.

 

Credit: EMARKETER

 

Beyond voice and gesture, neural interaction is emerging as the next frontier. By September 2025, 12 people received Neuralink implants while marking the largest real-world trial of brain-computer interfaces to date. Together, they accumulated over 2000 implant-days and 15 000 hours of use to prove the technology’s durability for tasks such as cursor movement and typing control.

Spotlighting an Innovator: Touchwave

Dutch startup Touchwaves develops wearables that enhance human performance through haptics and bio-sensing. Its technology integrates medical-grade textile sensors and printed electronics into stretchable garments that monitor physiological signals such as heart rate, heart rate variability, breathing rate, and oxygen saturation.

Further, the wearables process these bio-signals in real time using embedded algorithms to deliver adaptive haptic feedback that guides breathing, supports focus, and stabilizes stress responses. Designed for demanding conditions, the wearables are lightweight, washable, and durable. Thus, by merging haptic communication, smart textile engineering, and data-driven feedback, the startup’s wearables aid in defense, healthcare, and elite sports.

 

 

6. Biotech, Genomics & Life Sciences Tech

The UK’s Sanger Institute alone sequenced over 243 633 human genomes in just 3.5 years while contributing to a total of more than 46.6 petabases of deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) sequenced over the past three decades.

The biotechnology sector accounts for about 5% of the patents filed between 2001 and 2020. Furthermore, in just one quarter of 2024, the pharmaceutical and life sciences sector alone filed nearly 62 965 patent applications.

The USA National Institute of Health (NIH) All of Us program reports more than 414 000 world-genome sequences (WGS) available, with an identification of over 275 million new genetic variants.

Further, as genome sequencing becomes cheaper, genetic testing will move from being a specialist task to a normal part of healthcare. By around 2030, it is expected to be used routinely in cancer care, rare disease diagnosis, and preventive health checks.

In the UK, the UK Biobank plans to release detailed genetic data, known as phased VCF files, for 500 000 volunteers by late 2025. This release makes it easier for researchers to analyze genetic variation and speed up the process of finding and testing new medical discoveries to support precision medicine trials.

Clinical milestones in genome editing have crossed into licensure, and these precedents will propagate to additional indications. Exagamglogene autotemcel (Casgevy) received US approval in Dec 2023 for sickle cell disease and later for β-thalassemia. It marks the first FDA-approved therapy utilizing clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein 9 (Cas9).

Likewise, in neuromuscular disease, ELEVIDYS had its indication expanded in June 2024 to include both non-ambulatory and ambulatory Duchenne muscular dystrophy patients. Moreover, in Nov 2024, the FDA approved Kebilidi, an adeno-associated virus vector-based gene therapy, for aromatic L-amino acid decarboxylase (AADC) deficiency.

Spotlighting an Innovator: ComputeGenomics

Indian startup ComputeGenomics develops genomic data analysis tools that integrate high-performance computing with automated pipelines for clinical, agricultural, and research applications. Its Sequence and Meta-Analysis Research Toolkit (SMART-One) processes next-generation sequencing data to identify genetic variants linked to rare or undiagnosed disorders.

Likewise, the startup’s Agri-Genomics Research Innovation Toolkit (AGRIT) analyzes plant and animal genomes to discover desirable traits and optimize breeding strategies. The company’s high-performance computing system leverages GPU-based architecture to accelerate data processing for variant calling, genotyping, expression studies, and complex analyses such as genome-wide association study (GWAS) and single-cell sequencing.

7. Future of Energy & Climate Tech

Global energy-related CO2 emissions continued their upward trajectory in 2024. The emissions rose by 0.8% year-on-year by reaching 37.8 gigatonnes of CO2. This increase was increased in part by higher use of coal in regions such as China, India, and Southeast Asia.

 

Change in CO2 emissions from combustion by fuel and region, 2023-2024

 

Despite this, the adoption of clean energy technologies avoided an additional estimated 2.6 billion tonnes of CO2 that would otherwise have been emitted in 2024.

Meanwhile, the build-out of renewable energy capacity surged globally. In 2024, total installed renewable generation capacity was revised to 4443 GW while representing 46.2% of global power capacity. That year also saw the largest single-year jump with an addition of 582 GW of new renewable capacity, a 15.1% increase over 2023 levels.

Solar power led the growth by accounting for approximately 42% of the renewable capacity deployed. However, a growth rate of a minimum of 16.6% is expected to triple the renewable capacity by 2030.

By 2030, low-emissions hydrogen production based on electrolysis is projected to hit 37 million tonnes per year, with currently committed capacity rising more than fivefold from 2024 to over 4 million tonnes per year. Likewise, the fusion sector could reach USD 40-80 billion by 2035, and exceed USD 350 billion by 2050.

Similarly, leveraging AI in hydrogen operations is already gaining traction as AI systems model, optimize, and predict hydrogen yield and manage storage operations more efficiently. In 2024, AI in hydrogen operations had its highest share of 35.6% in the energy & power sector, with machine learning and deep learning accounting for 28.5%.

Spotlighting an Innovator: Amperesand

Singaporean startup Amperesand develops solid-state transformer (SST) technology that enables efficient, intelligent, resilient, and flexible electrification across global power systems. Its SST modules use silicon carbide (SiC) devices and proprietary high-frequency transformers to convert and control electrical power through power electronics. This achieves higher efficiency and compact design compared to traditional transformers.

Each module operates as a scalable unit with configuration in 2, 4, or 6MW systems for diverse industrial and infrastructure applications while accelerating deployment time. The technology integrates digital control and monitoring to manage real-time, bidirectional power flow, optimize renewable energy and energy storage use, and improve grid reliability.

8. 3D Printing & Localized Manufacturing

A 2024 Protolabs survey found that 21% of respondents used 3D printing for end-use parts, versus purely prototyping, up slightly from 20% the prior year. Also, 70% of surveyed businesses printed more parts in 2023 than in 2022.

 

Credit: Proto Labs

 

Meanwhile, sales of professional 3D printers priced between USD 2500 and USD 20 000 declined slightly by 1% compared to the previous year, while shipments of entry-level printers priced under USD 2500 grew by 28% year-on-year.

By 2030, about 40% of the casting industry to adopt additive manufacturing techniques to replace or complement conventional casting processes. Also, injection molding is expected for batch runs of over 100 000 parts. Likewise, the addressable volume for metal additive manufacturing could double to 6 million tons by 2030, as improvements in productivity and cost bring additive manufacturing into competition with machining and casting methods.

In specific sectors like healthcare, 3D printing is projected to grow at about 17.5% CAGR between 2024 and 2029, as custom implants, prosthetics, and patient-specific devices become more viable.

To support this, advances in methods such as volumetric/adaptive printing are emerging. For example, a generative, adaptive, context-aware 3D printing (GRACE) system generates geometries across scales to let prints conform around existing anatomical features or structures.

Further, the global aerospace additive manufacturing segment is forecasted to reach USD 3.8 billion by 2030.

Spotlighting an Innovator: CoraMetix

Australian startup CoraMetix makes heart valves using specialised biopolymers manufactured through advanced 3D printing. Its bioinspired heart valves replicate the structure and function of natural valves to enhance performance and durability to address the limitations of current animal tissue-based replacements that degrade over time.

Moreover, the use of precision 3D printing enables the production of patient-specific valves while reducing manufacturing costs and improving consistency. This way, it creates durable and cost-effective solutions for patients suffering from aortic stenosis to reduce the need for repeat high-risk surgeries and improve long-term cardiovascular outcomes.

9. Blockchain, Digital Assets & Decentralized Systems

Electric Capital reports 39 148 new developers explored crypto in 2024, while more than or equal to 2-year devs hit an all-time high, up 27% and are responsible for 70% of commits.

Further, decentralized storage and data networks are shifting from raw capacity to paid, useful data. For instance, Filecoin reported 1100 pebibyte (PiB) of active storage deals in Q2 of 2025 and network utilization around 31%.

 

 

Moreover, payments and monetary experiments are accelerating in the public sector. The Atlantic Council counts 137 jurisdictions exploring CBDCs. It represents 98% of global GDP, with 72 in advanced phases and a record 49 pilots worldwide.

 

 

As of 2024, 91% of the 93 surveyed central banks were actively exploring either retail or wholesale CBDCs. About one in three central banks accelerated their CBDC efforts in response to stablecoins and crypto developments.

Likewise, Ethereum’s proto-danksharding EIP-4844, launched in 2024, introduced blob transactions that reduce data-availability costs for layer-2 rollups by orders of magnitude. With this, the operational costs for rollups may drop by 30% in many use cases.

In August 2024, the National Institute of Standards and Technology (NIST) released its first set of post-quantum cryptography (PQC) standards, like FIPS 203 / 204 / 205. Providers like Cloudflare plan to enable PQC certificates around 2026.

Spotlighting an Innovator: Fraudly

Estonian startup Fraudly offers an AI-powered Web3 anti-fraud suite that safeguards digital transactions using AI and blockchain technology. Its platform continuously monitors smart contracts, addresses, and wallets through advanced machine learning algorithms that assess risk in real time, identify potential threats and compliance issues before they escalate.

Moreover, the platform assigns an immediate risk score to each transaction or token hash to provide data-driven insights for secure decision-making across decentralized networks. With on-chain analytics, transparent transaction logs, and AI-driven activity tracking, the suite enhances fraud detection, strengthens compliance, and protects assets within blockchain ecosystems.

10. Secure Technologies, Privacy & Trust Infrastructure

In 2024, organizations completing all pillars of zero trust, like identity, device, network, analytics, and governance, were two times less likely to report security incidents, as it came down from 66% to 33%. Also, organizations that fully implemented the identity pillar alone experienced 11% lower probability of ransomware events.

More broadly, the zero trust architecture market is projected to reach USD 84.08 billion by 2030 with a CAGR of 16.5% in deployments across identity, access, microsegmentation, and continuous verification.

Further, organizations that adopt techniques such as differential privacy, federated learning, or secure multiparty computation report gains. For instance, data exposure risk reduces by 45% when using privacy-preserving ML, and federated learning adoption yields a 28% improvement in data protection effectiveness.

Likewise, AI model-deployed frameworks like Privacy Guardrails for large language models show F1 scores of 0.95 in detecting sensitive entities while reducing manual review burdens. More recently, co-design of hardware + algorithm advances pushed privacy-preserving primitives like security multiparty computation (MPC), zero-knowledge proofs (ZKPs) and homomorphic encryption, closer to LLM-scale application feasibility.

 

Credit: IAPP

 

Additionally, 77% of organizations actively work on AI governance, and 47% place it among their top five strategic priorities. Within this, governance remains primarily driven by privacy and legal teams with 22%, followed by IT at 17%, and data governance at 10%.

Spotlighting an Innovator: Your Alternative Life (Yal.ai)

UAE-based Yal.ai offers AI-powered communication solutions that provide real-time protection against scams and fraud across calls, messages, and chats. Its technology uses AI models to detect multilingual scams, identify suspicious behavior, and block fraudulent interactions before they reach the user.

By combining SMS fraud detection, group chat security, and AI-powered call defense, the startup ensures privacy and safety across all communication channels. It processes data locally on the user’s device, maintaining strict privacy while delivering zero-day protection and continuous authentication. Through real-time global threat updates and offline functionality, the startup delivers a secure, private, and reliable communication experience to protect users from evolving digital threats worldwide.

11. Future Mobility Technologies

Mercedes-Benz’s DRIVE PILOT activates at 40 mph or less on approved freeway segments. In parallel, eVTOL performance demonstrations include 150-mile single-charge flights at 200 mph and altitudes above 11 000 ft. Similarly, operational aircraft target 20-50 mile intra-city routes at roughly 150 mph.

Likewise, centralized automotive compute such as NVIDIA DRIVE Thor delivers up to 2000 teraflops by consolidating perception, planning, and cockpit functions in a single system on a chip (SoC).

 

 

Additionally, the share of light vehicles with ADAS (Level 2 or higher) is projected to reach 50% by 2030. That means, by then, roughly half of new car sales will include advanced driver-assistance features as standard. For this, the automobile industry will see a 22% CAGR in automotive compute between 2023 and 2030 to support these capabilities.

Meanwhile, Horizon Robotics introduced its Journey 6 series of chips, with the Journey 6P variant that delivers up to 560 tera operations per second (TOPS) of compute performance, intended for full autonomous driving and high-end urban scenarios.

Spotlighting an Innovator: Eagle Ray Robotics

UK-based startup Eagle Ray Robotics offers submersible drones and AI-enhanced sensing systems that transform underwater intelligence, surveillance, and monitoring. Its proprietary Constellation Operating System integrates advanced imaging, acoustic sensing, and machine learning to enable real-time decision-making and coordinated multi-drone operations.

Further, the startup’s ORB and Glider Ray drones feature energy-efficient propulsion, passive stabilization, and adaptive maneuvering to deliver precise control and extended endurance for subsea missions. Each drone operates autonomously within a self-healing network that maintains communication and data continuity even in challenging environments. Through AI-driven classification and multi-node collaboration, the technology enhances situational awareness and operational efficiency in defense, offshore energy, and environmental monitoring..

12. Space Exploration

Heavy-lift and reusability set the pace for space exploration. Fully reusable Starship carries 150 metric tons to low Earth orbit and 250 metric tons expendable for single-launch delivery of large lunar and deep-space elements.

In parallel, New Glenn is specified to lift 45 metric tons to LEO and more than 13 metric tons to geostationary transfer orbit (GTO), with two BE-3U upper-stage engines originally designed for 175 000 lbf vacuum thrust each.

Moreover, heavy-lift continuity includes Falcon Heavy at 63 800 kg to LEO and 26 700 kg to GTO by providing a stable baseline for large probes and cislunar cargo while next-gen vehicles ramp up.

Further, communication technologies scale in bandwidth and distance. NASA’s DSOC system transmitted video and data over 140 million miles in 2024. It achieved data rates up to 267 Mbps, which is roughly 10-100x faster than radio systems used on Mars missions.

Building on this, the European Space Agency completed a 300-million-kilometre optical communication campaign in 2025 for exchanging laser signals between Earth and NASA’s DSOC experiment Psyche spacecraft. This demonstrates reliable, high-bandwidth optical links over interplanetary distances.

At the same time, onboard computing and autonomy handle the data and decision loads of deep-space missions. NASA and Microchip’s high-performance spaceflight computing (HPSC) processor delivers 100x the performance of the Rad750 used on Curiosity. It will fly on missions in 2026 to enable real-time image analysis, adaptive navigation, and AI-assisted fault detection without ground intervention.

Spotlighting an Innovator: Astrolayers

Polish startup Astrolayers makes satellite radiator technology that improves heat dissipation efficiency without increasing payload mass. Its radiators manage thermal loads from high-performance sensors and onboard processors by channeling excess heat away from critical components through lightweight, customizable structures.

Moreover, the startup offers three radiator types. They include a fully passive MLI-like radiator for compact integration, a deployable-by-unfolding radiator that expands into position using tape springs for dual-sided radiation, and a deployable-by-unrolling radiator that actively controls heat rejection through a motorized spool system.

Each design minimizes contact resistance and eliminates thermal bridges, ensuring stable performance across varying mission conditions.

Staying Ahead of the Technology Curve

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