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Video Streaming Software Market worth $26.13 billion in 2031 | Report by MarketsandMarkets™

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DELRAY BEACH, Fla., June 5, 2026 /PRNewswire/ — According to MarketsandMarkets™, the Video Streaming Software Market is expanding rapidly, with a projected market size rising from about USD 13.80 billion in 2026 to USD 26.13 billion by 2031, for a CAGR of 13.6%.

Browse 250 market data Tables and 150 Figures spread through 320 Pages and in-depth TOC on ‘Video Streaming Software Market – Global Forecast to 2031’

Video Streaming Software Market Size & Forecast:

Market Size Available for Years: 2021–20312026 Market Size: USD 13.80 billion2031 Projected Market Size: USD 26.13 billionCAGR (2026–2031): 13.6%

Video Streaming Software Market Trends & Insights:

The growth of OTT video streaming platforms, the increased demand for live streaming software, and the rise in online video content consumption are driving the expansion of the Video Streaming Software Market.The AI video workflow tools segment is estimated to grow at the fastest rate of 21.1% in the Video Streaming Software Market during the forecast period.By streaming type, live streaming is estimated to grow at the fastest rate of 15.6% during the forecast period.Connected TV (CTV) & Streaming Platforms are expected to hold the largest market share of USD 9.86 billion in 2031 in the global Video Streaming Software Market by consumption mode/device.Asia Pacific is growing fastest in the Video Streaming Software Market, driven by expanding OTT video streaming platforms, rising mobile video consumption, and rapid digital content distribution across smartphones and connected devices requiring scalable, cloud-based video streaming software infrastructure.

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Globally, the Video Streaming Software Market is strengthening as media companies, OTT providers, enterprises, and educational institutions expand live streaming and on-demand video delivery to support digital engagement and global audience reach. Large-scale streaming deployments across North America, Europe, and the Asia Pacific are generating substantial concurrent traffic volumes, driving demand for scalable cloud video streaming platforms and high-performance content delivery networks. Organizations are transitioning from legacy on-premises media servers to centralized and hybrid cloud video streaming software architectures that enable cross-platform distribution, AI-powered video analytics, and advanced audience insights. Streaming platforms must sustain high-concurrency workloads while ensuring low-latency playback, adaptive bitrate streaming, and seamless multi-device compatibility. Rising data privacy regulations and digital content protection standards are accelerating the adoption of DRM-secured streaming, encrypted video delivery, and region-specific compliance controls. As global digital media consumption expands, scalable, secure, and analytics-driven video streaming software is becoming a foundational component of modern content distribution ecosystems.

By streaming type, Live Streaming is expected to capture the highest CAGR during the forecast period.

Live streaming technologies enable real-time video delivery across sports broadcasting, entertainment events, enterprise communication, live commerce, gaming, digital learning, and interactive audience engagement environments. Standard live streaming continues to support large-scale OTT broadcasting and digital events where delivery stability and audience scalability are prioritized over real-time interaction. Low-latency streaming technologies are rapidly expanding across live auctions, sports engagement, virtual classrooms, and enterprise collaboration workflows where playback delays must remain within a few seconds to support synchronized viewer participation. Ultra-low latency streaming is becoming increasingly critical for cloud gaming, real-time betting, immersive sports streaming, and interactive communication applications that require sub-second response times and highly synchronized viewer interactions. Technological innovation is accelerating around WebRTC delivery, Low-Latency HLS, AI-assisted bitrate optimization, edge-native orchestration, and adaptive streaming intelligence designed to improve stream stability during high-concurrency events.

According to Agora, in March 2025, the company launched its Conversational AI Engine optimized for ultra-low latency voice and interactive streaming experiences. According to Agora documentation updated in March 2025, its Interactive Live Streaming Premium infrastructure supported ultra-low latency streaming between 400 ms and 800 ms for real-time engagement applications. According to Wowza, in September 2024, the company expanded low-latency streaming interoperability through partnerships supporting LCEVC and advanced real-time streaming workflows. Strategic collaborations between cloud providers, CDN vendors, AI companies, and streaming infrastructure providers are increasingly focused on scalable ultra-low latency architectures, synchronized audience engagement, and AI-driven stream optimization ecosystems.

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By consumption mode/device, mobile/handheld devices are expected to have the largest market share during the forecast period.

Mobile and handheld streaming environments are driving significant transformation across the Video Streaming Software Market as consumers increasingly prefer personalized, on-the-go video experiences across smartphones and tablets. iOS streaming applications are increasingly optimized for premium video rendering, low-power playback efficiency, secure content protection, and immersive user interfaces designed for high-value OTT and subscription streaming experiences within the Apple ecosystem. Android streaming platforms continue to dominate global streaming accessibility through scalable device compatibility, adaptive playback optimization, AI-powered recommendation integration, and flexible monetization support across a highly fragmented device landscape.

Innovation is accelerating around AI-assisted bandwidth optimization, vertical video interfaces, offline playback intelligence, and 5G-enabled low-latency streaming architectures designed to improve mobile engagement and reduce playback interruptions. According to Brightcove, in December 2025, the company introduced Vertical Video experiences and enhanced AI-powered localization capabilities supporting mobile-first streaming consumption and personalized audience engagement workflows. Streaming providers are increasingly prioritizing mobile-native engagement models, AI-powered playback optimization, and low-latency mobile delivery architectures to support rising global mobile video consumption and creator-driven streaming ecosystems.

North America is expected to lead the market during the forecast period.

North America remains a highly attractive region for video streaming software vendors due to widespread broadband penetration, mature OTT ecosystems, strong cloud infrastructure, and high enterprise demand for digital video engagement platforms. Media companies, enterprises, educational institutions, and sports broadcasters across the US and Canada are increasingly investing in scalable video streaming software to support live streaming, video-on-demand, hybrid events, employee communication, and personalized viewer experiences. According to TV Technology in August 2025, streaming intelligence provider NPAW reported that smart TVs and set-top boxes accounted for 69% of video-on-demand viewing time in North America, highlighting continued consumer preference for high-quality large-screen streaming experiences.

At the same time, vendors are strengthening AI-powered video capabilities such as automated captioning, multilingual localization, metadata generation, and adaptive content delivery to improve audience retention and operational efficiency. AI-enabled dubbing and localization are becoming major competitive differentiators for streaming software providers operating in North America. Reuters reported in March 2025 that Amazon Prime Video introduced AI-aided dubbing for licensed movies and series in English and Spanish to expand multilingual content accessibility and viewer engagement. Similarly, Business Wire reported in April 2026 that 3Play Media launched an AI dubbing solution for YouTube creators that combines AI-based translation, human linguistic refinement, and performance analytics to support global content distribution. These developments indicate that vendors are rapidly integrating generative AI, real-time captioning, and automated localization workflows to reduce content adaptation costs while accelerating cross-border streaming expansion.

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Top Companies in Video Streaming Software Market:

The Top Companies in Video Streaming Software Market include Amazon Web Services (AWS) (US), Comcast Technology Solutions (US), Vimeo.com (US), Microsoft (US), Synamedia (England), IBM (US), Brightcove (US), Kaltura (US), Edgio (US), Agile Content (Spain), Haivision (Canada), Panopto (US), Enghouse Video (Canada), Akamai Technologies (US), Dailymotion (France), Hive Streaming (Sweden), and Blue Billywig (Netherlands).

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About MarketsandMarkets™ 

MarketsandMarkets™ has been recognized as one of America’s Best Management Consulting Firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe.

Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem.

The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the ‘GIVE Growth’ principle, we collaborate with several Forbes Global 2000 B2B companies to keep them future-ready. Our insights and strategies are powered by industry experts, cutting-edge AI, and our Market Intelligence Cloud, KnowledgeStore™, which integrates research and provides ecosystem-wide visibility into revenue shifts.

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Ascendion Expands AI Advisory Community with Four Global Business and Technology Leaders

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Former Global CTO of Banco Santander, former Group CIO of Currys, former CEO of IBPAP, and former Microsoft CVP and CTO of AI join the advisory community

Advisors will provide guidance on AAVA platform innovation, AI strategy, C-suite alignment, and enterprise adoption across Asia-Pacific, Europe, North America, and the UK

The growing community of advisors will bring practitioner perspective closer to Ascendion as enterprises move AI from experimentation to governed, production-scale outcomes

BASKING RIDGE, N.J., Oct. 27, 2026 /PRNewswire/ — Ascendion, an AI-native software engineering company, today announced the appointment of four global business and technology leaders to its AI Advisory Community: Andy Gamble, Jack Madrid, Julieta Ross, Ph.D., and Joseph Sirosh, Ph.D. 

The advisors bring perspectives rarely found in one group: executives who answered to Boards, regulators, and C-suites for what technology actually delivered; a builder of AI and data platforms at global scale; and a leader who shaped one of the world’s largest technology-services and talent ecosystems. Their experience spans banking, high-tech, media, and retail. Each will work directly with Ascendion’s regional and engineering leaders, so their counsel reaches the decisions it is meant to shape. 

“We are changing how software gets built. Enterprise leaders have moved past experiments. They want AI that delivers outcomes boards can measure and risk they can manage. Andy, Jack, Julieta, and Joseph have the experience and know where transformation succeeds. They will challenge our thinking, raise our ambition, and help us navigate a period of intense — and exciting — change,” said Karthik Krishnamurthy, CEO, Ascendion. 

Each advisor will map to a different part of the business, strengthening Ascendion’s alignment with leadership communities across the globe. 

Julieta Ross, Ph.D., former Global CTO of Banco Santander, brings two decades of leading technology inside global banks, along with public-company board experience. She will work with Ascendion’s leadership on executive relationships, go-to-market strategy, and growth, and will help the company meet the governance, regulatory, and risk expectations that banking and financial services leaders place on AI. Andy Gamble, former Group CIO of Currys plc, has spent nearly three decades as a technology buyer and transformation leader across consumer electronics, industrial, and retail businesses. He will advise Ascendion’s work across Europe and the UK, with a focus on consumer goods, manufacturing, and retail, and will share what executive teams and Boards expect from a technology partner. Joseph Sirosh, Ph.D., former Microsoft CVP and CTO of AI, has spent his career building and scaling machine learning platforms in the high-tech industry. He will advise Ascendion’s engineering leadership on the evolution of AAVA and its broader platform strategy as AAVA becomes an orchestration and harness layer for enterprise AI. Jack Madrid, former President and CEO of IBPAP, spent five years leading the industry association behind one of the world’s largest technology and business-services ecosystems, centered in the Philippines. He brings robust experience working across industries, including banking, high-tech, and media, and will advise Ascendion on Asia-Pacific markets and on how AI is reshaping global delivery, skills, and workforce models. 

Together, the advisors give Ascendion an outside perspective on the full spectrum of enterprise AI, from agentic platform strategy and product engineering to industry alignment and delivery. They will add capacity to Ascendion’s ongoing work on AI governance, helping ensure trusted impact from AI-native software engineering, and their practice-based insight will inform how Ascendion applies its Engineering to the Power of AI™ approach to commercial models, platform design, service execution, and workforce development. 

About Ascendion

Ascendion is a global AI-native software engineering company delivering trusted business outcomes – capital unlock, innovation velocity, lower risk – to 250+ enterprise clients. The company delivers business outcomes at scale by combining expert engineers, AI agents, and AAVA, Ascendion’s agentic AI platform. Together, they design, engineer, and operate production-ready software that improves everyday work and life. Learn more at www.ascendion.com.

Engineering to the Power of AI™, Engineering to Elevate Life™, and AAVA™ are trademarks or service marks of Ascendion. AAVA™ is pending registration. Unauthorized use is strictly prohibited.

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AvePoint Set to Join S&P SmallCap 600

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NEW YORK, Oct. 27, 2026 /PRNewswire/ — AvePoint Inc. (NASD: AVPT) will replace LXP Industrial Trust (NYSE: LXP) in the S&P SmallCap 600 effective prior to the opening of trading on Monday, November 2. Brookfield Asset Management Ltd. and Canada Pension Plan Investment Board are acquiring LXP Industrial Trust in a deal expected to close soon, pending final closing conditions.

Following is a summary of the changes that will take place prior to the open of trading on the effective date:

Effective Date

Index Name

Action

Company Name

Ticker

GICS Sector

Nov 2, 2026

S&P SmallCap 600

Addition

AvePoint

AVPT

Information Technology

Nov 2, 2026

S&P SmallCap 600

Deletion

LXP Industrial Trust

LXP

Real Estate

ABOUT S&P DOW JONES INDICES

S&P Dow Jones Indices is the largest global resource for essential index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based on our indices than products based on indices from any other provider in the world. Since Charles Dow invented the first index in 1884, S&P DJI has been innovating and developing indices across the spectrum of asset classes helping to define the way investors measure and trade the markets.

S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies, and governments to make decisions with confidence. For more information, visit www.spglobal.com/spdji/en/. 

FOR MORE INFORMATION:

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index_services@spglobal.com

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Archera Surpasses $5.6 Billion in Cloud and AI Spend Under Management, Closes Series C Led by Pivot Investment Partners, and Expands Insurance-Backed Cloud Commitments

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The round will help Archera expand its guaranteed cloud commitments, bringing insurance-backed financial protection to companies navigating unpredictable AI and cloud spending. The company has delivered more than $700 million in customer savings and now manages approximately $5.6 billion in annual cloud and AI spend.

BELLEVUE, Wash., Oct. 27, 2026 /PRNewswire/ — As artificial intelligence makes cloud spending harder to predict, companies face an increasingly expensive choice: commit to long-term cloud and AI contracts to unlock significant discounts or preserve flexibility and leave savings on the table. Archera has raised a $15 million Series C to expand its Guaranteed Commitments and change that equation.

The cloud economics company today announced it closed its Series C funding round, led by Pivot Investment Partners, with participation from existing investors including HighSage Ventures. The financing brings Archera’s total funding to $38.3 million. It will support the expansion of Archera’s Guaranteed Commitments and its suite of free cloud cost tools, including its FinOps Agent and MCP.

Insurance-backed financial protection is central to Archera’s next phase of growth. Archera purchased a policy on a surplus lines basis from Crum & Forster Specialty Insurance Company to back its guarantee. This model helps businesses pursue cloud commitment savings while managing the financial risk of usage changes.

The company has delivered more than $700 million in savings to over 2,200 organizations, including PubNub, Art.com, and Astronomer. The thesis behind Archera is simple: companies shouldn’t have to predict AI’s future to commit and save money on today’s infrastructure.

Why Cloud and AI Commitments Need to Change

Cloud providers reward customers who commit to spending over one- to three-year periods with substantial discounts and access to capacity. Historically, those commitments have helped businesses reduce infrastructure costs. But AI is changing the risk and economics of that decision.

A new model launch can multiply GPU spending in months. A more efficient model, a shift in architecture, or a move to a different service can reduce it just as quickly. Long-term commitments that once looked financially sound can become expensive liabilities.

Companies are left choosing between overcommitting and risking unused spend, or undercommitting and missing out on available discounts. Many choose the latter, sacrificing potential savings to preserve flexibility.

Archera believes that the trade-off is unnecessary. Its Guaranteed Commitments provide resource-level cloud and AI discounts with terms as short as 30 days. If usage declines and a covered commitment goes unused, Archera covers the cost under the terms of its guarantee.

The result is a different way to approach cloud purchasing. Businesses can pursue deeper discounts and unlock capacity otherwise gated behind a commitment, without bearing the entire financial consequence when actual usage diverges from forecasts.

Turning Cloud Optimization Into a Financial Product

Traditional cloud cost management tools provide visibility, recommendations, automation, and forecasting, but they can’t eliminate the financial risk of unused commitments. Archera combines its free FinOps platform and Agent with a financial guarantee that addresses inaccurate forecasts.

“Every tool in this market is trying to forecast your cloud usage a little better. We think that’s the wrong bet,” said Aran Khanna, co-founder and CEO of Archera. “Nobody can forecast AI demand, not the customer, not the cloud provider. So instead of predicting it, we guarantee it, and we have purchased an insurance policy to back that guarantee. If covered usage drops, we address the unused commitment cost under the terms of our guarantee. That’s a new way to purchase cloud, not another dashboard, and it’s why we’ve been able to return $700 million to our customers.”

The approach positions cloud commitments as a financial risk decision, helping finance and engineering leaders manage budgets while adapting to changing technology.

Built for CFOs, CTOs, and the Teams Managing AI Costs

The approach addresses a growing challenge across finance and engineering: how to control infrastructure costs without constraining the business.

For CFOs: Capture commitment-level discounts while reducing exposure to eligible unused spend under the guarantee.For CTOs and engineering leaders: Preserve flexibility to adopt new AI models, change architectures, and scale workloads without letting past commitments dictate future decisions.For FinOps teams: Increase commitment coverage with a financial backstop when usage changes, without more back-and-forth with engineering teams to get perfect forecasts.For cloud partners and resellers: Give customers a differentiated way to pursue cloud savings that can be reinvested in new cloud services while managing commitment risk.

Archera’s platform connects to AWS, Microsoft Azure, or Google Cloud billing data in read-only mode and analyzes actual usage. It then recommends and automates the purchasing of both native commitments and Archera Guaranteed Commitments.

Customers can evaluate their potential savings before making any purchasing decision. Commitments remain in the customer’s own cloud account, preserving end-to-end control over cloud purchasing strategy.

Archera earns when customers save through its guaranteed commitments, aligning its commercial model with the outcomes customers seek.

Customers Are Rethinking the Commitment Model

For organizations accustomed to treating cloud commitments as a single, high-stakes decision, Archera offers a more flexible approach.

“Working with Archera meant rethinking commitments as a spectrum rather than a single, high-stakes decision,” said James Hamilton, VP of Operations and Controller at PubNub. “This was a big mind shift for us. We needed to think about how our commitments could be broken up into a spectrum of purchases versus a single one-time buy.”

That flexibility is particularly valuable as companies adopt AI workloads, where technology choices and resource requirements can shift faster than traditional budgeting cycles.

Instead of making one large bet on future usage, businesses can take a more measured approach while still securing meaningful discounts.

A Series C to Expand Insurance-Backed Cloud Purchasing

Archera has been operating profitably at scale. It raised a Series C to support larger guarantees, expand its reach, serve more customers, and upgrade the insurance policies backing its guarantee to serve larger global clients.

The company plans to use the capital in three ways:

Accelerate go-to-market efforts.Expand its global partner network across North America, Europe, the Middle East, Japan, and Latin America.Serve more teams focused on AI-driven workloads.

“Archera has built a capital-efficient and differentiated business at the intersection of cloud infrastructure and risk management,” said Dinkar Jetley, co-founder and managing partner at Pivot Investment Partners. “The team pairs a deep understanding of the cloud ecosystem with a rigorous approach to underwriting, and the result is a compelling value proposition that a fast-growing roster of customers relies on as their cloud spend scales. We are privileged to have led this Series C round and look forward to working closely with Aran and the management team in the years ahead.”

Built by People Who Understand Cloud Infrastructure

Aran and Nikhil Khanna founded Archera in 2019. Aran previously planned capacity for Azure’s core compute and database services at Microsoft and was a founding member of AWS’s deep learning team leading launches, including SageMaker, DeepLens, and the Neuron SDK, behind Amazon’s Trainium and Inferentia AI chips.

His research on deep learning model efficiency has been cited more than 1,900 times, and he serves on the FinOps Foundation governing board.

As AI transforms infrastructure economics, Archera aims to make cloud savings more accessible without forcing businesses to assume unnecessary financial risk.

To explore potential savings, request a free assessment at Archera.ai.

Free savings assessment: https://app.archera.ai/savings-estimate?utm_source=forbes&utm_medium=referral&utm_campaign=series-c-2026

Name: Sarah
Email Address: shiara@archera.ai
Phone Number: +13018255007

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