Two credible 2026 forecasts bracket the demand picture for industrial automation software: The Business Research Company sizes the 2026 market at $53.6 billion rising to $75.35 billion by 2030 at 8.9% CAGR [S1], while Mordor Intelligence pegs 2026 at $43.87 billion reaching $62.9 billion by 2031 at 7.45% CAGR [S2]. The roughly $10 billion gap in 2026 is scope, not direction: the higher figure folds in software-defined automation platforms, while Mordor's tighter perimeter stops at the classic SCADA, DCS, MES, HMI, and PLC stack.
A third track, the software-defined automation market itself, is projected to climb from $54.09 billion in 2026 to $96.98 billion by 2030 at 15.7% CAGR, almost double the rate of the traditional stack [S3]. That delta is the structural story engineers and procurement leads need to internalize: the same dollar of automation is migrating from hardware-locked licences to software-defined, vendor-agnostic platforms, and that migration is what is pulling the growth rate upward.
What the 2026-2030 Numbers Actually Cover
TBRC's $53.6 billion 2026 baseline bundles eight product categories: SCADA, DCS, MES, HMI, PLC programming environments, IT/software integration, production process test systems, and coordinated data management [S1]. Mordor's $43.87 billion 2026 figure is narrower but still multi-segment, with SCADA alone holding 33.92% market share in 2025 [S2]. On-premises deployments still dominate at 55.86% of 2025 revenue, but cloud-based offerings are forecast at 8.31% CAGR through 2031 [S2]. That mix matters for spec work: any buyer writing a 2026-2030 demand justification needs to call out which segments and which deployment model they are counting.
End-user concentration is also quantified. Automotive and transportation held 33.05% of 2025 spend, while chemicals and pharmaceuticals are the fastest-growing user segment at 8.02% CAGR through 2031 [S2]. Geographically, Asia-Pacific commanded 38.22% of 2025 share and is rising at 8.09% CAGR [S2], consistent with the 2,027,000 industrial robots reported in operation across China's industrial sector in 2024 [S3].
Named Demand Drivers and Their Quantified Pull
Mordor's driver-impact model assigns each growth lever a percentage-point contribution to the headline CAGR: Industry 4.0 adoption at +2.1%, real-time IIoT analytics at +1.8%, labor-cost pressure at +1.5%, cybersecurity mandates (anchored on IEC 62443) at +1.2%, low-code/no-code convergence at +0.9%, and AI-driven reinforcement-learning optimization at +0.5% [S2]. Cumulatively these add roughly 8.0 percentage points of demand pull, which lines up with the published 7.45% headline rate once overlapping effects are netted. For spec-first procurement, the takeaway is that cybersecurity is no longer a soft constraint but a quantified demand driver, the same magnitude as low-code tooling.
For the software-defined track, the demand narrative shifts to modularity. Schneider Electric's Open Automation Movement is cited as the architectural template, promoting vendor-agnostic, real-time data flow across hardware [S3]. Comau's July 2025 acquisition of Automha is named as a concrete intralogistics consolidation move that expands software-defined automation scope into warehousing [S3].
SCADA, MES, and DCS: Where the Spend Concentrates
SCADA's 33.92% share of the 2025 market makes it the single largest line item in any plant automation budget [S2]. DCS, MES, and HMI collectively account for most of the remainder, with PLC programming environments a smaller but fast-growing slice. Within this stack, plant asset management and analytics platforms are projected to expand at 8.12% CAGR through 2031, outpacing the headline 7.45% [S2], because they are the natural landing zone for AI/edge integration. Engineers building a SCADA software spec sheet for 2026 procurement should expect the dominant bidders to be bundling analytics, not just supervisory control.
Enterprise size skews the data. Large organizations held 72.05% of 2025 revenue, but small and medium enterprises are forecast at 8.41% CAGR through 2031, the highest of any segment Mordor tracks [S2]. That is the price-sensitive tail of the market where cloud-based, low-code offerings will compete most aggressively against on-premises incumbents.
Software-Defined Automation vs Traditional Stack: A Side-by-Side
For an apples-to-apples reading, the two tracks can be lined up against four decision criteria:
1. Headline CAGR 2026-2030: traditional stack 7.45% [S2] versus 8.9% in the broader TBRC perimeter [S1]; software-defined track 15.7-16% [S3].
2. 2030 endpoint market size: $62.9 billion (Mordor, 2031) to $75.35 billion (TBRC, 2030) for the traditional stack, against $96.98 billion for software-defined automation by 2030 [S1][S2][S3].
3. Architectural lock-in: traditional stack remains hardware-coupled through vendor-specific PLC and DCS firmware; software-defined automation is explicitly vendor-agnostic, with Schneider Electric's Open Automation Movement named as the reference architecture [S3].
4. Deployment model: traditional stack is 55.86% on-premises in 2025 with cloud at 8.31% CAGR [S2]; software-defined automation is cloud-native by design, with tariffs cited as a secondary accelerator pushing buyers away from hardware-tied licences [S3].
For buyers writing a 2026 capital plan, the comparison implies that any new plant or line specification should default to software-defined-compatible controllers, even if the SCADA, MES, and DCS layers remain on the traditional stack, to avoid a forced mid-life migration before 2030.
Geographic and End-User Pull-Through
Asia-Pacific's 38.22% 2025 share and 8.09% CAGR make it the single largest regional pool for new industrial automation software spend [S2]. North America led the software-defined automation market in 2025, but Asia-Pacific is the fastest-growing region in the near term [S3]. For procurement teams sourcing from China, the demand backdrop reinforces the case for spec-first vendor qualification, since the underlying installed base of 2,027,000 Chinese industrial robots in 2024 [S3] is a captive market for the software layer above it. Related industrial automation software procurement guidance and the packaging machinery 2026 spec map both feed off the same Asia-Pacific pull-through.
On the demand side, chemicals and pharmaceuticals at 8.02% CAGR are outpacing the automotive sector's growth rate even though automotive still owns the largest installed base at 33.05% [S2]. For spec writers in regulated batch and continuous process plants, that delta signals that IEC 62443 cybersecurity requirements and batch-to-cloud traceability will be the dominant line items in 2027-2030 RFPs, more than the underlying control-loop hardware.
Selection Criteria and Sourcing Standards
For engineers translating the forecast into a working spec, four selection criteria carry through from the demand data: (1) IEC 62443 conformance as a baseline cybersecurity floor, weighted equally with functional capability; (2) open-architecture support to avoid vendor lock-in, explicitly the software-defined automation architectural pattern; (3) edge-to-cloud execution for control loops under 10 ms, paired with cloud-side analytics for plant-wide optimization; and (4) low-code configuration layers, since the SME segment growing at 8.41% CAGR [S2] will not staff full PLC programmer teams. Adjacent reference material, such as the fiber media converter sizing map and the magnetic material selection guide, covers the physical-layer and material decisions that the software layer will have to interoperate with.
Standards of record cited across the research: IEC 62443 for industrial cybersecurity, the SCADA/DCS/MES/HMI/PLC product taxonomy from TBRC's segmentation [S1], and the software-defined automation reference architecture as exemplified by Schneider Electric's Open Automation Movement [S3]. No standard revision dates are claimed here beyond what the source material explicitly states.
Limitations of the 2026-2030 Forecast Set
Three constraints bound how much weight the forecasts can carry. First, the two headline tracks use different product perimeters: TBRC's $53.6 billion 2026 baseline includes production process test systems and coordinated data management, while Mordor's $43.87 billion is tighter [S1][S2]. Cross-citing both without scope reconciliation is a common error. Second, the software-defined automation market's 15.7% CAGR [S3] partially overlaps with the traditional stack, so summing the two endpoints double-counts revenue. Third, tariff effects are named in the software-defined forecast as a medium-term accelerator toward cloud-centric architectures [S3], but no quantified elasticity is provided; the reader should treat that lever as directional, not numeric.
Trackable signals for the next forecast revision: (a) quarterly updates to Asia-Pacific industrial robot installed base, since 2024's 2,027,000-unit China figure is the most recent hard data point cited [S3]; (b) any IEC 62443 mandate expansion into new jurisdictions, currently cited as a +1.2% CAGR contributor [S2]; (c) the next 12-month M&A activity around intralogistics and warehouse automation, with Comau/Automha as the named 2025 reference deal [S3].
Component reference pages worth checking: electrical automation, and industrial adhesive.