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Every bet in your 2027 plan has a clock on it. IDC predicts 45% of AI applications and services will fail to move past proof of concept by 2027. IDC FutureScape 2027: 250 predictions sorted into closing, open, and emerging windows. #IDCFutureScape

Not every AI decision on your 2027 list has the same deadline. Tomorrow, you’ll see which ones are due first. IDC predicts most build-your-own agentic AI projects will be abandoned by 2028 after missing ROI goals. That window is nearly closed. Others are still open, and a few haven’t formed yet. A panel of IDC experts will sort the IDC FutureScape Top 10 Worldwide Predictions into closing, open, and emerging, so you leave with a ranked list for your leadership team. Today is your last chance to register: #IDCFutureScape #AgenticEconomy #IDCResearch

EMEA’s Android tablet market fell 10.5% year over year in Q2 2026, with Samsung still #1 despite a 20% YoY drop of its own. IDC’s Vladislav Tsikin says Samsung’s lead looks very different by tier: commanding in the premium segment at 85% share, but considerably thinner across the broader market, where Chinese vendors are closing in. IDC’s Filip Sretenovic points to Xiaomi as the biggest growth story, going from roughly 180K units in 2021 to 3.4 million in 2025, the largest absolute volume gain of any tablet vendor in the region. Explore more of the latest insights: #IDCResearch #EMEATablet #MarketTrend

Some of your biggest AI decisions are nearly made. Others are still wide open. Which is which? IDC FutureScape 2027: The Great Rewrite. Wed, Oct 28, 11am ET. See which decisions are still yours to shape: #IDCFutureScape #AgenticAI

Only 15% of organizations have realized an AI ROI above 100% to date. IDC's Laurie Buczek says that's natural at this stage. The harder problem is the next investment. If you sell AI, you need an answer for the CFO and the board, because 69% report a significant gap between AI spending and measurable financial outcomes. How to prove value in terms finance will accept: #EnterpriseAI #AIROI

If your most critical systems went down tomorrow, how long until you’re operating again? And when did you last test that? IDC’s Michelle Abraham on why leaders need both answers for #CybersecurityAwarenessMonth:

Not every AI decision on your 2027 list is equally urgent, and treating them that way costs you the ones moving fastest. IDC predicts most build-your-own agentic AI projects will be abandoned by 2028 after missing ROI goals. That window is nearly closed. IDC’s Rick Villars sorts the FutureScape Top 10 Worldwide Predictions into closing, open, and emerging, so you leave with a ranked list for your leadership team. Register today: #IDCFutureScape #AgenticEconomy #IDCResearch

24.7% of buyers are done waiting. If the next release doesn’t bring real agentic features, they’re switching vendors. IDC’s Eric Newmark says that’s the actual story the “SaaSpocalypse” narrative keeps missing: agents need the governed data and process layer inside SaaS to do anything at all. Readiness just became the price of staying visible, and buyers already have the leverage to make vendors prove it. Read the full IDC blog: #SaaS #AgenticAI #IDCResearch

AI agents are set to grow 78x by 2029. 40% of organizations are still expected to miss their 2026 AI goals anyway. Speed alone was never the problem. IDC's Dave McKenna says relying on vendor-supplied data has the same blind spot as a student grading their own test. His fix: ground every decision in verified, independent evidence. He reviews IDC Quanta for Tech Leaders against four tests he’d apply to any tool he’d actually approve. The full story here: #IDCQuanta #IDCAIPlatform #EmbeddedIntelligence

Why have 80% of organizations started deploying agentic AI, yet only 17% use it enterprise-wide? IDC's Laurie Buczek says it's very hard to govern, and hard to establish trust in what the technology can do. For vendors, that makes governance part of the sales conversation. How to raise it before the buyer does: #AgenticAI #EnterpriseAI

AI maturity scores are quickly becoming board-level currency for CIOs, CTOs, CISOs, and procurement leaders. They back up vendor bets and AI budget asks, and the case for where investment goes next. IDC’s benchmark scores organizations on strategy, governance, people, and technology, across five stages from Ad Hoc to Optimized. Of the 1,900 organizations surveyed, 3.1% reached Optimized. The self-assessment takes 2 minutes, and gives you a direction read on your stage of AI maturity. Take it here: #IDCQuanta ##AIMaturity #AIStrategy

2.5 billion AI agents by 2030. A 45 GW U.S. power shortfall by 2028. That’s the gap IDC sees in AI right now. Demand is compounding: 95.3% of enterprises already run at least one agent workflow in production, and total token delivery costs are forecast to rise 487-fold by 2030. Supply can’t keep up. Memory, power, and packaging shortages will set the pace of growth through 2027, with memory tight into 2028. Meredith Whalen breaks down the data, plus the four signals that would change IDC’s view. Read the blog: #AI #AIInfrastructure #AgenticAI

Six in ten organizations say AI is transforming their business. IDC checked that claim against 1,900 organizations’ actual capabilities, and only 15.1% of the self-proclaimed “Thrivers” had the scores to back it up. A recent IDC blog puts it plainly, citing IDC’s Andrea Siviero: strategy is the easiest dimension to declare and the hardest to deliver at scale. Technology is the least mature dimension across the board, and even the strongest-performing area, governance, still leaves 57.2% of all organizations in its two least mature stages. Read the blog: #AIMaturity #IDCResearch #EnterpriseAI

In 2024, IDC predicted that 75% of organizations would use specialized accelerated cloud services for AI by 2026. Did it play out as expected? Dave McCarthy, Group VP of Cloud and Data Center Infrastructure, says the direction held, with two differences. Data privacy concerns pushed some AI work into private cloud instead of public cloud, and more companies entered the market, so it’s no longer just the three hyperscalers. He also says the 75% number still stands and may run a little low: #CloudComputing #AIInfrastructure #ProofBehindThePredictions

Your next security budget question can have an answer with a source attached. Our new IDC Quanta Insights Report shows what that looks like. Every finding was surfaced using IDC Quanta and is traceable to IDC research, with no portal login. Read the report, then ask your own question: #IDCQuanta #EmbeddedIntelligence #IDCAIPlatform

Do you know which stage of AI maturity your organization is in? Only 3.1% have made it to the top. Tomorrow at 12:00 p.m. ET, IDC’s Shari Lava reveals the model behind that number, and you can place your own organization on it. Last day to grab a seat: #AIMaturity #AIFueledOrganization #EnterpriseAI

IDC’s Worldwide AI Maturity score rose from 2.39 to 2.43 in a year, while the share of organizations at the optimized stage went from 0.4% to 3.1%. 49.6% of the 1,900 organizations surveyed sit at opportunistic, with pockets of experimentation that aren’t coordinated across teams. Another 25.8% are repeatable: consistent processes in some teams, not yet organization-wide. The 2-minute self-assessment places you in one of the five stages: #IDCQuanta #AIMaturity #AIStrategy

AI agents now act on organizations’ behalf, and the work, the money, and the technology around them are being rebuilt to match. IDC calls it The Great Rewrite. Join IDC's Rick Villars for the first IDC 2027 FutureScapes webinar. Register today and leave with ten key predictions, ready for your next leadership or budget conversation: #IDCFutureScapes #AgenticEconomy #IDCResearch

Most manufacturers ask “what’s my use case” for physical AI before they ask “what stage am I actually at.” That’s backwards. IDC’s Sarah Lee on why maturity comes first: #PhysicalAI

Andrew Shipe’s team at Sourcewell Ventures doesn’t have a shortage of ideas. It has a shortage of hours to research them, and every idea has to earn its place fast. When agencies kept saying drone first-responder programs were “too expensive” with no specifics, Shipe used IDC Quanta to put real numbers behind the complaint, turning a vague pain point into a problem his team could actually plan around. Read more about the trust problem AI finally solved: #IDCQuanta #IDCAIPlatform #EmbeddedIntelligence