Video streaming infrastructure market to reach $91.66B by 2031
A new market report projects the global video streaming infrastructure market to grow from $48.86 billion in 2026 to $91.66 billion by 2031. The growth is attributed to rising demand for low-latency live sports, AI-enabled media workflows, and expanded edge capacity.
Key Takeaways
- Live video streaming is the fastest-growing segment with a projected 17.33% CAGR through 2031.
- Software solutions, led by encoding and transcoding, accounted for 51.87% of the total market in 2025.
- Asia-Pacific will lead regional growth at a 15.98% CAGR, driven by mobile-first delivery in markets like India.
- North America remains the largest regional contributor, holding a 36.63% market share as of 2025.
Why It Matters
The projected growth indicates that infrastructure spending is shifting from basic delivery to high-performance edge computing and AI automation. As live sports rights migrate to streaming, providers like Akamai and AWS are under pressure to reduce latency to a five-to-seven-second baseline to match traditional broadcast. This ecosystem shift forces mid-sized operators to adopt cloud-native operations to manage the high computational costs of advanced codecs like AV1. The rise of AI-based localization also suggests that global distribution will become more efficient, lowering the barrier for international content expansion. Watch for increased investment in quality-of-experience monitoring, which is expected to grow at a 15.89% CAGR as platforms prioritize subscriber retention over simple reach.
Additional Context
The competitive landscape among video streaming infrastructure providers is intensifying as demand for low-latency delivery and AI-powered workflows accelerates. Amazon Web Services has been expanding its media services portfolio to address multilingual live streaming at scale. AWS published a solution for real-time WebVTT multilingual subtitling that uses Amazon Transcribe and Amazon Bedrock with Nova foundation models to deliver context-aware translations without adding video streaming latency, breaking the traditional trade-off between translation accuracy and delivery speed. The open-source implementation, available on GitHub, targets broadcasters and sports rights holders who need to serve international audiences without the cost of manual translation teams. This directly supports the market report's projection that AI-enabled media workflows will be a primary growth driver through 2031.
On the business and platform side, AWS is also pushing server-side ad insertion as a core infrastructure capability for live events. AWS introduced its Live Event Framework, a reference architecture for large-scale live streaming with server-side ad insertion using AWS Elemental MediaTailor, enabling operators to monetize live streams without client-side stitching complexity. Meanwhile, Microsoft's position in the streaming infrastructure market has shifted significantly. Azure Media Services was officially retired on June 30, 2024, with Microsoft directing customers to migrate to Azure Communication Services and third-party partners, effectively ceding the managed media processing segment to AWS and Akamai. This retreat consolidates the market around fewer hyperscale providers and strengthens the competitive moat for remaining players.
Technical benchmarks from AWS confirm that AI-driven localization is moving from experimental to production-grade. AWS detailed a live streaming localization workflow using MediaConnect, MediaLive, MediaPackage, and CloudFront that automatically generates captions and translations in multiple languages at scale, noting that 82 to 85 percent of sports fans now use streaming services and that traditional captioning approaches are prohibitively expensive for multilingual delivery. The architecture integrates speech recognition, neural machine translation, and CDN distribution into a single pipeline, reducing per-language marginal cost to near zero. For infrastructure buyers evaluating the $91.66 billion market opportunity, these production-ready AI workflows represent the kind of capability that justifies premium edge compute spend and differentiates platform vendors on total cost of ownership rather than raw bandwidth pricing.
Read full article at globenewswire.com
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