As satellite operators integrate geostationary orbit (GEO), medium Earth orbit (MEO), and low Earth orbit (LEO) systems into unified connectivity environments, the economics and governance requirements of the sector are being reshaped at nearly every level. Operators, regulators, manufacturers, and antenna providers are being forced to coordinate far more closely as multi-orbit architectures increase pressure for improved spectrum management, interoperability, standardized testing methodologies, debris mitigation policies, and cross-border operational governance.

By 2029, 60% of organizations will adopt smaller software engineering teams at scale, up from 15% in 2026, according to Gartner, Inc., a business and technology insights company.

The rapid spread of artificial intelligence across the enterprise is creating new technology management challenges as agentic experiments, embedded AI features and independently developed initiatives accumulate faster than organizations can track their costs, architectural dependencies and access to corporate data.

The global tablet market entered an expected period of decline in Q2 2026, with shipments falling 10% year on year to 36 million units, according to the latest research from Omdia. For the first time in years, tablet shipments also defied the typical seasonal pattern of sequentially higher Q2 shipments driven by back-to-school demand.

A Gartner survey of 3,566 B2B and B2C customers, conducted in February and March 2026, identified three key shifts in customer behavior: customers are far more likely to use third-party GenAI tools than company-provided chatbots; customers are using GenAI to complete tasks and take action, not only to get answers; and customers expect the option to reach a human agent when companies use AI in customer service.

The 2026 ISG Provider Lens Cybersecurity — Services and Solutions report for the U.S. finds that cybersecurity is increasingly evaluated as a business-critical capability tied to resilience, financial exposure and executive accountability rather than a standalone IT function. Enterprises are adapting to expanding hybrid and multicloud environments, integration of operational technology and rising use of generative and agentic AI by replacing fragmented security approaches with integrated architectures that provide greater visibility, adaptive protection and coordinated risk management.

Citizens are increasingly ready for governments to embrace artificial intelligence. Nearly two-thirds (64%) of citizens now use AI at least weekly. At the same time, satisfaction with government digital services has fallen by 13 percentage points over the past decade, creating an opportunity for governments to use AI to improve how citizens interact with public services.

These are among the findings of the latest publication from Boston Consulting Group (BCG), Citizens Are Open to Public AI Services. Governments Must Seize the Opportunity, released today. This eighth biennial Digital Government Citizen Survey Report is based on BCG’s largest survey to date, capturing the views of citizens across 44 countries that represent 88% of OECD countries and approximately 70% of the world's population.

The promise of AI in the finance function, and challenges in obtaining the required digital talent, are driving leading CFOs to concentrate hiring efforts and development resources on employees with the necessary aptitude and attitude to meet the function’s digital skills targets. Gartner predicts that by 2028, 20% of finance organizations will stop hiring and developing nondigitally literate talent and allocate all talent-related investments toward advanced digital capabilities.

The 2026 ISG Provider Lens global Snowflake Ecosystem Partners report finds that Snowflake is evolving from a cloud-native data warehouse into an enterprise environment for AI operationalization. Enterprises increasingly view it as a tool to support trusted data use across distributed environments while addressing architectural complexity, interoperability requirements and the need for AI-ready data foundations. As organizations pursue measurable outcomes from data investments, Snowflake is becoming a key part of broader modernization strategies focused on operational effectiveness and business value.

Artificial intelligence is reshaping public safety intelligence operations, but perhaps not in the way many anticipated. Rather than pursuing fully autonomous investigative systems, state and local agencies are increasingly focused on using AI to help intelligence professionals process larger volumes of information, strengthen collaboration across jurisdictions and accelerate operational decision-making while preserving transparency, accountability and public trust.

Agentic AI is set to disrupt enterprise software revenue models, with up to $234 billion of enterprise application spending exposed to agentic arbitrage between now and 2030, according to Gartner, Inc, a business and technology insights company. By 2030, this will account for roughly 20% of enterprise application software-as-a-service (SaaS) spending.

State and local public safety agencies are entering a new phase of artificial intelligence adoption in which success depends less on automating investigations than on helping intelligence professionals process growing volumes of information while preserving governance, transparency and public trust. That evolution is reshaping how agencies think about intelligence sharing, analyst training and investment priorities across law enforcement, corrections, probation and other public-sector organizations.

The 2026 ISG Provider Lens global Palantir Ecosystem Partners report finds that organizations are redirecting technology investments toward operational intelligence as macroeconomic uncertainty, accelerating AI deployment and emerging regulatory frameworks reshape enterprise priorities. Companies are increasingly selecting Palantir platforms to combine data, analytics and operational workflows within secure environments that provide trusted AI, faster decision-making and greater operational resilience.

As AI automates routine engineering and administrative work, organizations are increasingly replacing – or supplementing – large permanent technical staff with leaner core teams supported by specialized consultants engaged for specific projects. “The shift reflects broader changes in both technology and labor markets,” said Sara Wilkison, CEO of Solo Workforce, in an executive vidcast interview with BizTechReports.   

According to Forrester’s The State Of AI Inside US Marketing Agencies, 2026, a new report released today in partnership with 4As, AI is now pervasive across US marketing agencies: Nine in 10 agencies use generative AI, and half use agentic AI for marketing execution. Yet rapid adoption, combined with an industrywide focus on productivity and cost efficiency, is undermining marketing effectiveness, creativity, and long-term brand growth.

By 2030, neocloud providers will capture 20% of the $267 billion AI cloud market, according to Gartner, Inc., a business and technology insights company. “Neocloud” refers to cloud providers built specifically for AI and high-performance workloads.

The rapid growth of GenAI is creating unprecedented demand for GPU-intensive computing, accelerating investment in localized, high-performance infrastructure and exposing the limitations in traditional cloud models. Neoclouds are challenging the dominance of hyperscalers by focusing on AI-optimized infrastructure.

The 2026 ISG Provider Lens® global Cloudera Ecosystem Partners report finds that companies are adopting Cloudera to unify data across on-premises infrastructure and multiple cloud environments as hybrid architectures become more complex. Organizations are also embedding policy enforcement, metadata management and data lineage into platform architectures to address increasing regulatory requirements and support secure AI initiatives.

The global smartphone market shrank 6.7% year-on-year to 277.5 million units in the second quarter of 2026 (2Q26), according to the preliminary data from the International Data Corporation (IDC) Worldwide Quarterly Mobile Phone Tracker, The memory crisis continues to disrupt the smartphone market with unprecedented costs and strained supply, with Q2 2026 marking the second quarter of consecutive year-on-year decline.

By 2028, AI coding costs will overtake the average developer’s salary due to rising large language model (LLM) token consumption and the shift to consumption-based licensing models, according to Gartner, Inc., a business and technology insights company.

The ISG Market Lens 2026 Cybersecurity Report, published today, draws on survey data and adoption patterns observed in ISG advisory engagements that show organizations see AI as their biggest security threat and believe they are not spending enough to address AI-related risks.